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otols.png",41.42,"Best_AI_reporting_otols_4e25d94b61",6384.56,"https://s3.us-east-2.amazonaws.com/whatagraph.com/Best_AI_reporting_otols_4e25d94b61.png","2025-10-06T13:23:54.345Z","2025-10-06T13:23:59.327Z","elew1191izgqfpmd6lfvgv9b",{"id":63,"title":579,"slug":580,"subheading":581,"createdAt":582,"updatedAt":583,"publishedAt":584,"documentId":585},[866,867,868,876,884,885],{"id":25,"title":835,"slug":836,"subheading":837,"createdAt":838,"updatedAt":839,"publishedAt":840,"documentId":841},{"id":46,"title":698,"slug":699,"subheading":700,"createdAt":701,"updatedAt":702,"publishedAt":703,"documentId":704},{"id":52,"title":869,"slug":870,"subheading":871,"createdAt":872,"updatedAt":873,"publishedAt":874,"documentId":875},"Data analytics","data-analytics","Delve into a goldmine of marketing data","2023-05-16T15:39:58.211Z","2026-07-23T15:13:17.766Z","2026-07-23T15:13:17.878Z","ro7y3d6bnpwryxg95ibaxn7w",{"id":58,"title":877,"slug":878,"subheading":879,"createdAt":880,"updatedAt":881,"publishedAt":882,"documentId":883},"KPIs & metrics","kpis-and-metrics","Building blocks to a successful marketing strategy","2023-05-16T15:40:51.396Z","2026-07-23T15:13:44.256Z","2026-07-23T15:13:44.371Z","b21wyqjy58hczgfr6fnivd20",{"id":63,"title":579,"slug":580,"subheading":581,"createdAt":582,"updatedAt":583,"publishedAt":584,"documentId":585},{"id":68,"title":886,"slug":887,"subheading":888,"createdAt":889,"updatedAt":890,"publishedAt":891,"documentId":892},"Product news","product-news","The latest news and product updates","2023-05-16T15:42:50.435Z","2026-07-23T15:14:53.038Z","2026-07-23T15:14:53.148Z","q1i3lojk1guf9n4i3hfr7mvg",{"id":5,"title":894,"subtitle":895,"createdAt":896,"updatedAt":897,"publishedAt":898,"documentId":899,"text_banner":78,"bottom_banner":78,"side_banner":900,"picks":957,"seo":1058},"Get more from your marketing data","\u003Cp>Dive into Whatagraph product updates, how-tos, company news, product reviews, and educational content to get the most out of your marketing data.\u003C/p>","2022-11-18T08:43:50.870Z","2025-07-03T08:13:56.278Z","2022-11-18T08:43:52.413Z","nacdautr0f31448ryt3aqm2k",{"id":5,"URL":901,"desktop_image":902,"tablet_image":922,"mobile_image":939},"https://whatagraph.com/book-a-call",{"id":903,"name":904,"alternativeText":905,"caption":78,"width":906,"height":907,"formats":908,"hash":916,"ext":110,"mime":111,"size":917,"url":918,"previewUrl":78,"provider":95,"provider_metadata":78,"createdAt":919,"updatedAt":920,"documentId":921,"publishedAt":98,"focalPoint":78},13376,"sidebar-banner.png","Marketing performance monitoring & reporting",712,892,{"thumbnail":909},{"ext":110,"url":910,"hash":911,"mime":111,"name":912,"path":78,"size":913,"width":914,"height":915},"https://s3.us-east-2.amazonaws.com/whatagraph.com/thumbnail_sidebar_banner_dec0db4f76.png","thumbnail_sidebar_banner_dec0db4f76","thumbnail_sidebar-banner.png",20.75,125,156,"sidebar_banner_dec0db4f76",53.62,"https://s3.us-east-2.amazonaws.com/whatagraph.com/sidebar_banner_dec0db4f76.png","2024-11-08T07:36:51.769Z","2024-11-08T07:37:09.026Z","wvz2sfu9igvkjakke5i1t5fe",{"id":923,"name":924,"alternativeText":905,"caption":78,"width":925,"height":926,"formats":927,"hash":933,"ext":110,"mime":111,"size":934,"url":935,"previewUrl":78,"provider":95,"provider_metadata":78,"createdAt":936,"updatedAt":937,"documentId":938,"publishedAt":98,"focalPoint":78},12997,"sidebar-banner-tablet.png",1920,264,{"thumbnail":928},{"ext":110,"url":929,"hash":930,"mime":111,"name":931,"path":78,"size":932,"width":570,"height":428},"https://s3.us-east-2.amazonaws.com/whatagraph.com/thumbnail_sidebar_banner_tablet_6daf0afe8c.png","thumbnail_sidebar_banner_tablet_6daf0afe8c","thumbnail_sidebar-banner-tablet.png",12.3,"sidebar_banner_tablet_6daf0afe8c",238.35,"https://s3.us-east-2.amazonaws.com/whatagraph.com/sidebar_banner_tablet_6daf0afe8c.png","2024-09-04T15:29:22.037Z","2024-09-04T15:31:40.885Z","q3xyf2hkwixqpkvfaioconbx",{"id":940,"name":941,"alternativeText":905,"caption":78,"width":942,"height":943,"formats":944,"hash":951,"ext":110,"mime":111,"size":952,"url":953,"previewUrl":78,"provider":95,"provider_metadata":78,"createdAt":954,"updatedAt":955,"documentId":956,"publishedAt":98,"focalPoint":78},12995,"sidebar-banner-mobile.png",960,192,{"thumbnail":945},{"ext":110,"url":946,"hash":947,"mime":111,"name":948,"path":78,"size":949,"width":570,"height":950},"https://s3.us-east-2.amazonaws.com/whatagraph.com/thumbnail_sidebar_banner_mobile_efcc2a52a2.png","thumbnail_sidebar_banner_mobile_efcc2a52a2","thumbnail_sidebar-banner-mobile.png",15.39,49,"sidebar_banner_mobile_efcc2a52a2",100.28,"https://s3.us-east-2.amazonaws.com/whatagraph.com/sidebar_banner_mobile_efcc2a52a2.png","2024-09-04T15:29:21.743Z","2024-11-08T07:37:05.014Z","sh9iq3ib1tmajnpkbpxgk0ml",[958,1004,1023],{"id":959,"title":960,"slug":961,"summary":962,"body":963,"read_time":338,"createdAt":964,"updatedAt":965,"publishedAt":966,"errors":78,"table_of_contents":15,"dateReorder":967,"documentId":968,"cover_image":969,"banners":78,"author":985,"seo":996,"tags":999,"article_category":1000,"competitor":78,"FAQ":1001},2291,"Why Is Looker Studio Slow? 6 Ways to Make It Faster","looker-studio-slow","\u003Cp>Looker Studio taking too long to load? You’re not alone. \u003C/p>\u003Cp>I scoured Reddit threads and community forums and one thing is clear – everyone’s frustrated with Looker Studio's slow load times, broken charts, and dashboards that freeze at the worst possible time. \u003C/p>\u003Cp>But we’re here to help. \u003C/p>\u003Cp>In this article, you’ll find 6 different reasons why your Looker Studio dashboard might be slow and how to fix each issue. \u003C/p>","\u003Ch2>Why is Looker Studio slow? \u003C/h2>\u003Cp>Looker Studio is slow because of these key reasons:\u003C/p>\u003Col>\u003Cli>You have large datasets.\u003C/li>\u003Cli>You’re using live connections to bring Google data into Looker Studio.\u003C/li>\u003Cli>You’re using finicky third-party connectors to bring non-Google data into Looker Studio.\u003C/li>\u003Cli>You’re then manipulating the data like creating data blends and calculated fields inside of Looker Studio.\u003C/li>\u003Cli>You have too many components or pages in a report.\u003C/li>\u003Cli>It's not you, it's Looker Studio's system issues.\u003C/li>\u003C/ol>\u003Cp>These issues aren’t standalone either – usually two or more are happening at the same time. \u003C/p>\u003Cp>In the next sections, we’ll go through each reason why Looker studio loading slow and recommended fixes for each. \u003C/p>\u003Ch2>Reason 1: You’re working with large and complex datasets.\u003C/h2>\u003Cp>Looker Studio has a 6-minute limit on handling queries, and large data requests can cause your report to load slowly or time out. \u003C/p>\u003Cp>In fact, Tanja Keglić, Performance Marketing Manager at Achtzehn Grad agency, \u003Ca href=\"https://whatagraph.com/case-studies/achtzehn-grad\">ran into this exact issue\u003C/a>.\u003C/p>\u003Cp>Before she became a Whatagraph customer, she was using Looker Studio to create reports for a large automotive client with multiple data sources and platforms, which made Looker Studio very slow. She shared:\u003C/p>\u003Cp>[quote color-variant=\"2\"]\u003Cbr>We wanted to see our data quickly, but Looker Studio took so long to load. \u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>This made it difficult to optimize campaigns, answer ad-hoc client questions, and work at the pace her team needed.\u003C/p>\u003Ch3>✅ How to fix this: Reconfigure your data setup\u003C/h3>\u003Cp>Keeping your data tight and focused is key to speed up Looker Studio. You can do so in four ways: \u003C/p>\u003Cul>\u003Cli>\u003Cstrong>Shorten date ranges: \u003C/strong>Only show recent data unless you \u003Ci>really\u003C/i> need long-term views.\u003C/li>\u003Cli>\u003Cstrong>Filter out unneeded rows:\u003C/strong> Don’t pull in every campaign or ad set, just the top performers or key segments.\u003C/li>\u003Cli>\u003Cstrong>Remove unused fields:\u003C/strong> Only include the dimensions and metrics you actually use in your visuals.\u003C/li>\u003Cli>\u003Cstrong>Adjust the data freshness rate: \u003C/strong>Each type of data source in Looker Studio has its own default data freshness threshold, but you can adjust this to be less frequent – e.g. daily refresh instead of hourly. This means you won’t get up-to-date data all the time, but your reports would load faster.\u003C/li>\u003C/ul>\u003Cp>Alternatively, you can switch to a much faster and stable platform like \u003Ca href=\"https://whatagraph.com/\">Whatagraph\u003C/a> which can handle 10 sources and 100 widgets without slowing down, and has an uptime of 99.95%. This means it can handle large datasets and system-wide outages are very, \u003Ci>very\u003C/i> rare. \u003C/p>\u003Cp>When Tanja switched to Whatagraph, she appreciated how fast the platform was. She said:  \u003C/p>\u003Cp>[quote color-variant=\"1\"]\u003Cbr>Whatagraph is very, very quick when loading the data. Even when I change a source in the report, it’s super quick and I barely ever have to wait.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>Plus, you won’t have to trade-off your data freshness. Whatagraph offers a consistent 30-min refresh rate across all your sources, blends, and platforms.\u003C/p>\u003Ch2>Reason 2: You’re using live connections.\u003C/h2>\u003Cp>Live data is great, until it starts dragging your dashboard down.\u003C/p>\u003Cp>By default, Looker Studio connects live to your data source. This means every time a user loads or filters the report, Looker fetches fresh data directly from the platform: Google Analytics 4, Google Search Console, Google Ads, e.t.c. \u003C/p>\u003Cp>If your dashboard has multiple data sources (and most do), that’s several real-time queries firing at once.\u003C/p>\u003Cp>The issue worsens when those data sources are external or under load. Public cloud APIs, custom connectors, or self-hosted databases (like Redshift or PostgreSQL) can add extra network latency, timeout errors, or fail to respond altogether.\u003C/p>\u003Cp>And when your dashboard depends on live data, any hiccup on the source side breaks the whole experience.\u003C/p>\u003Ch3>✅ How to fix this: Use extracted or cached data\u003C/h3>\u003Cp>Instead of live data, use a snapshot of your data - also known as extracted data source. \u003C/p>\u003Cp>You can do this through Looker Studio’s “Extract Data” connector. Instead of querying live data every time someone opens the report, Looker pulls from a preloaded subset of your data. \u003C/p>\u003Cp>\u003Cstrong>What it does:\u003C/strong>\u003C/p>\u003Cul>\u003Cli>Lets you choose specific fields, filters, and date ranges to limit the amount of data loaded\u003C/li>\u003Cli>Works with any data source\u003C/li>\u003Cli>Allows you to apply your own aggregations (e.g., Sum, Average) for more flexible analysis\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>How to do it:\u003C/strong>\u003C/p>\u003Col>\u003Cli>Go to Looker Studio → \u003Ci>Create\u003C/i> → \u003Ci>Data Source\u003C/i> → Select Extract Data.\u003C/li>\u003Cli>Pick your existing data source.\u003C/li>\u003Cli>Choose only the metrics and dimensions you need.\u003C/li>\u003Cli>(Optional) Add filters or apply a date range to limit the data further.\u003C/li>\u003Cli>(Optional) Turn on Auto update and set a refresh schedule.\u003C/li>\u003Cli>Click Save and Extract—then connect this source to your report.\u003C/li>\u003C/ol>\u003Cp>\u003Cstrong>Keep in mind:\u003C/strong> Extracts have a 100 MB limit, and the data is static unless you enable auto-refresh.\u003C/p>\u003Cp>For more information, you can check out \u003Ca href=\"https://cloud.google.com/looker/docs/studio/extract-data-for-faster-performance#:~:text=On%20the%20Looker%20Studio%20home,targets%2C%20or%20by%20clicking%20Add.\" target=\"_blank\" rel=\"noopener noreferrer\">Google’s documentation\u003C/a>.  \u003C/p>\u003Cp>This approach is ideal when you don’t need real-time data but want a dashboard that loads fast. \u003C/p>\u003Cp>The other option is to pull your data into Google Sheets or Google BigQuery first, and then connect Looker to that source. It’s more reliable and way faster. \u003C/p>\u003Cp>But then this also means the process would still be quite manual, you’d still be lost in different spreadsheets and tools, and there’s a lot of room for human error in your data. \u003C/p>\u003Ch2>Reason 3: You’re manipulating data inside of Looker Studio. \u003C/h2>\u003Cp>Looker Studio was built for data visualization, not data transformation. \u003C/p>\u003Cp>When you manipulate your data, like creating custom dimensions, calculated fields, complex filters, or do data blending inside Looker, it slows down the platform. \u003C/p>\u003Cp>This is because every time you open a dashboard or change a filter, Looker has to:\u003C/p>\u003Col>\u003Cli>Pull raw data from each data source\u003C/li>\u003Cli>Apply your calculations and transformations\u003C/li>\u003Cli>Then render the visual\u003C/li>\u003C/ol>\u003Cp>That’s a lot of processing happening in-browser, especially if you have large datasets. \u003C/p>\u003Cp>Also, these transformations are not \u003Cstrong>not reusable\u003C/strong> across dashboards, which means you'll need to recreate logic every time, increasing maintenance overhead and report load time.\u003C/p>\u003Cp>In fact, \u003Ca href=\"https://www.linkedin.com/in/analyticsnerd/\" target=\"_blank\" rel=\"noopener noreferrer\">Himanshu Sharma\u003C/a>, Founder at OptimizeSmart, GA4 and GTM agency says:\u003C/p>\u003Cp>[quote color-variant=\"3\"]\u003Cbr>Looker Studio is not meant for data manipulation. It is neither a spreadsheet nor a data warehouse. When you manipulate data in Looker Studio, it slows down your report.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>\u003Ca href=\"https://www.linkedin.com/posts/analyticsnerd_99-of-looker-studio-users-make-these-activity-7333451901188890626-G4UL?utm_source=share&utm_medium=member_desktop&rcm=ACoAAB_2pacB6ApCphtgRXXVvJfGAji3nZdMx8g\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Ch3>✅ How to fix this: Manipulate your data in Google Sheets, BigQuery, or Whatagraph\u003C/h3>\u003Cp>The better alternative is to\u003Cstrong> \u003C/strong>clean and prepare your data \u003Ci>before\u003C/i> it hits Looker Studio.\u003C/p>\u003Cp>You can do so in two key ways: \u003C/p>\u003Col>\u003Cli>\u003Cstrong>Google Sheets\u003C/strong> works well for small to medium datasets. You can structure your tables, apply formulas, and only pass in what you actually need.\u003C/li>\u003Cli>\u003Cstrong>BigQuery\u003C/strong> is a better option for large datasets. You can pre-aggregate data with SQL, and if you enable BI Engine, it can return query results almost instantly.\u003C/li>\u003Cli>\u003Cstrong>Whatagraph\u003C/strong> works for all kinds of datasets. You can connect all the data you need using our native, plug-and-go connectors and transform it any way you want through no-code flows. Then, pick metrics and dimensions, preview your data table, and \u003Ca href=\"https://whatagraph.com/data-transfer/looker-studio\">start an automated transfer to Looker Studio\u003C/a>. \u003C/li>\u003C/ol>\u003Cp>Or, you can just use Whatagraph for the entire data flow from connection → transformation → visualization.\u003C/p>\u003Cp>While Looker Studio is limited to 5 data sources per blend, with Whatagraph, you can create blends from unlimited sources.\u003C/p>\u003Cp>And you won’t need to tinker with spreadsheets or BigQuery to manipulate your data – you can simply set everything up in no-code workflows.\u003C/p>\u003Cp>For instance, say you want to see the total ad spend across three paid-per-click (PPC) channels – Google Ads, Facebook Ads, and LinkedIn Ads. You can simply create what we call a “Source Group” in literal seconds like so:\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Source_groups_on_Whatagraph_b25e17a9ad.png\" alt=\"Source Groups on Whatagraph - Channel selection interface with social media, PPC, SEO, and analytics sources.\">Then, you can select the report types, sources, and currencies you want to see your data in, and save this as a template you can re-use the next time.\u003C/p>\u003Cp>In your report, you can then add a widget, choose this Source Group, and visualize any metrics you want from these three channels combined. \u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Total_ad_spend_with_AI_widget_55271a4e08.png\" alt=\"Total Ad Spend - Dashboard widget showing ad spend of €17,462.37 from Google, Facebook, and LinkedIn ads.\">See that \u003Ci>“Apply quick changes here…”\u003C/i> box? \u003C/p>\u003Cp>You can ask AI to edit that widget for you however you want. For example, say you want to change the metric to “Impressions” instead of “Spend” . You don’t need to do it manually – you can just ask AI and it’ll be done in seconds. \u003C/p>\u003Ch2>Reason 4: You have too many components or pages in your reports.\u003C/h2>\u003Cp>Every visual element on your Looker Studio dashboard, scorecards, charts, tables, filters, sends its own query to the data source. \u003C/p>\u003Cp>That means if you’ve got 15 charts, 3 filters, and a date selector, Looker is sending 20+ queries all at once. Multiply that by live data connections and large datasets, and your dashboard slows down significantly. \u003C/p>\u003Cp>Even if your data sources are small, the sheer volume of visual components can overwhelm the platform, especially when users scroll or interact with filters.\u003C/p>\u003Cp>Another thing is, if you have over 20 pages in one Looker Studio report, it’ll take a long time for you to export them. \u003C/p>\u003Cp>In fact, a Looker Studio user in \u003Ca href=\"https://www.reddit.com/r/GoogleDataStudio/comments/1fkkk34/looker_studio_being_incredibly_slow/\" target=\"_blank\" rel=\"noopener noreferrer\">this Reddit thread\u003C/a> says “the heavier your report is, the nastier they would be.” \u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Looker_Studio_slow_export_times_39e201f412.png\" alt=\"\">\u003C/p>\u003Ch3>✅ How to fix this: Use fewer components and split reports into pages\u003C/h3>\u003Cp>This might seem obvious but the solution is to use fewer charts and components on each page.\u003C/p>\u003Cp>Here are three ways you can do so:\u003C/p>\u003Cul>\u003Cli>\u003Cstrong>Combine metrics:\u003C/strong> Instead of having different scorecards, use one table to show your metrics together (e.g. clicks, impressions, CTR). For instance, MeasureSchool combined 3 scorecards into one table with 3 metrics and it reduced API calls by 66% and noticeably sped up performance.\u003C/li>\u003Cli>\u003Cstrong>Avoid duplicate charts:\u003C/strong> If two charts show similar data, use filters instead of creating both.\u003C/li>\u003Cli>\u003Cstrong>Split your dashboard into pages:\u003C/strong> Don’t put everything on one screen. Break it up into tabs so it loads faster.\u003C/li>\u003C/ul>\u003Ch2>Reason 5: You’re using third-party data connectors.\u003C/h2>\u003Cp>If you’re using third-party data connectors like Supermetrics or \u003Ca href=\"https://whatagraph.com/reviews/funnel-io\">Funnel.io\u003C/a> to pull in data from non-Google platforms, they’re going to slow down your reports.\u003C/p>\u003Cp>Each third-party connector adds an extra step between Looker and your data. So instead of one system talking directly to another, it’s:\u003C/p>\u003Cp>Source platform → Third-party connector → BigQuery or spreadsheets→ Looker Studio\u003C/p>\u003Cp>That means:\u003C/p>\u003Cul>\u003Cli>More API calls\u003C/li>\u003Cli>More chances for delays or errors\u003C/li>\u003Cli>And a lot more waiting when loading your report\u003C/li>\u003C/ul>\u003Cp>For instance, Tanja, Performance Marketing Manager at Achtzehn Grad, was using \u003Ca href=\"https://whatagraph.com/reviews/supermetrics\">Supermetrics\u003C/a> to pull non-Google data into Looker Studio. \u003C/p>\u003Cp>\u003Ca href=\"https://whatagraph.com/blog/articles/supermetrics-connectors\">Supermetrics connectors\u003C/a> frequently broke, sources failed to load properly, and she had to either waste time fixing them herself or contacting Support for help. She said: \u003C/p>\u003Cp>[quote color-variant=\"2\"]\u003Cbr>It’s such a pain to reconnect a lot of sources and accounts, and it takes so much time, which you don’t have when you want a quick report.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Ch3>✅ How to fix this: Use an all-in-one marketing intelligence platform\u003C/h3>\u003Cp>The best solution is to upgrade to an all-in-one marketing intelligence platform that allows you to connect to BOTH Google and non-Google platforms natively.\u003C/p>\u003Cp>That's exactly what Whatagraph is. \u003C/p>\u003Cp>We’ve got 55+ \u003Ca href=\"https://whatagraph.com/integrations\">native integrations\u003C/a> to popular and niche marketing platforms, including Meta, LinkedIn, Google Ads, GA4, TikTok, Amazon Ads, and more. \u003C/p>\u003Cp>That means no more unstable middlemen, broken third party connectors, or having to google “Why is Google data studio slow?”. \u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Whatagraph_integrations_296e8025b2.png\" alt=\"Whatagraph Integrations - A grid of logos for SEO and analytics tools.\">\u003C/p>\u003Cp>Whatagraph’s integrations are also fully-managed, which means our Product engineers regularly maintain them so you don’t have to. And if there are bugs, they can resolve them quickly without having a third-party company involved.\u003C/p>\u003Cp>This is what Tanja, Performance Marketing Manager at Achtzehn Grad loves about us. She said:   \u003C/p>\u003Cp>[quote color-variant=\"1\"]\u003Cbr>We don’t have any connection issues on Whatagraph at all. We just connected the platforms once, and that was it.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>And once your data is in Whatagraph, you can do everything else in there:\u003C/p>\u003Col>\u003Cli>Transform your data without touching a spreadsheet or BigQuery\u003C/li>\u003Cli>Create data blends from unlimited sources (Looker Studio is limited to 5)\u003C/li>\u003Cli>Build internal dashboards and client-facing reports\u003C/li>\u003Cli>Automate reports to go out to specific people at specific days and times\u003C/li>\u003Cli>Get AI to write out performance summaries in each report, and use the chatbot to extract insights from your campaigns\u003C/li>\u003C/ol>\u003Cp>Soon, you won’t even need to build your own reports. With AI, you’ll be able to:\u003C/p>\u003Cul>\u003Cli>Build reports from a prompt\u003C/li>\u003Cli>Edit widgets and troubleshoot issues\u003C/li>\u003Cli>Apply custom themes from images or prompts (e.g. “make the report look like a Batman movie)\u003C/li>\u003C/ul>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Whatagraph_vs_Looker_Studio_ff51383399.png\" alt=\"Whatagraph vs Looker Studio - The old way to connect data to Whatagraph.\">\u003C/p>\u003Cp>But apart from Whatagraph, some other options for all-in-one marketing reporting platforms include: \u003C/p>\u003Col>\u003Cli>\u003Ca href=\"https://whatagraph.com/reviews/agencyanalytics\">\u003Cstrong>AgencyAnalytics\u003C/strong>\u003C/a>\u003Cstrong> \u003C/strong>- Best for SEO and content marketing agencies\u003C/li>\u003Cli>\u003Ca href=\"https://whatagraph.com/reviews/dashthis\">\u003Cstrong>DashThis\u003C/strong>\u003C/a> - Best for freelancers and small businesses \u003C/li>\u003Cli>\u003Ca href=\"https://whatagraph.com/reviews/geckoboard\">\u003Cstrong>Geckoboard\u003C/strong>\u003C/a> - Best for small to medium e-commerce businesses\u003C/li>\u003C/ol>\u003Ch2>Reason 6: You're facing platform-wide performance issues.\u003C/h2>\u003Cp>Most of the time, it’s not you. It’s Looker Studio itself. \u003C/p>\u003Cp>If you scroll through \u003Ca href=\"https://www.googlecloudcommunity.com/gc/forums/searchpage/tab/message?advanced=false&allow_punctuation=false&filter=location&location=category:looker&q=looker%20studio%20slow\" target=\"_blank\" rel=\"noopener noreferrer\">the Looker Studio community forum\u003C/a>, you’ll see loads of users complaining about platform-wide slowdowns, timeouts, or system errors, especially at the start of the month or following product updates.\u003C/p>\u003Cp>For example, this is what one user posted in the forum: \u003C/p>\u003Cfigure class=\"image\">\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Looker_Studio_slow_in_loading_community_forum_bfa186ff93.png\" alt=\"Here's my attempt at generating alt text for the image:\n\nLooker Studio Slow In Loading - A screenshot of a community forum post.\">\u003C/figure>\u003Cp>\u003Ca href=\"https://www.googlecloudcommunity.com/gc/Looker-Studio/Looker-Studio-slow-in-loading-sometimes-can-t-show-charts/m-p/828833\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>And even if you voice out your issue in the community forum, there's no guarantee that a Looker Studio representative would see it, or even then you’d still be left to fix it yourself. \u003C/p>\u003Cp>You could log and track issues in this \u003Ca href=\"https://issuetracker.google.com/savedsearches/5492224?p=1&q=componentid:196095%20status:(open%20%7C%20new%20%7C%20assigned%20%7C%20accepted)%20votecount%3E0&s=vote_count:desc&pli=1\" target=\"_blank\" rel=\"noopener noreferrer\">Issue Tracker\u003C/a>, but even then, it can take weeks or months to get your issues fixed (and there's no guarantee that they will be fixed). \u003C/p>\u003Cp>With all these issues combined, it’s not a surprise that many are looking for \u003Ca href=\"https://whatagraph.com/blog/articles/google-data-studio-alternatives\">Looker Studio alternatives\u003C/a> that are faster and more reliable, like this user: \u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Why_has_Looker_Studio_became_so_unreliable_16aa333664.png\" alt=\"Looker Studio - Forum post about Looker Studio's reliability with user profile and reply options.\">\u003Ca href=\"https://www.googlecloudcommunity.com/gc/Looker-Studio/Why-has-Looker-Studio-become-so-unreliable/m-p/857654\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>If that's what you're looking for, there's no better choice than Whatagraph. Here's why. \u003C/p>\u003Ch2>The Easiest Fix: Use Whatagraph for Faster, Smoother Marketing Intelligence \u003C/h2>\u003Cp>We built Whatagraph to solve the exact problems Looker Studio users face, without the hacks, workarounds, or trade-offs. \u003C/p>\u003Cp>Unlike Looker Studio, Whatagraph is \u003Cstrong>all-in-one, fast, and stable\u003C/strong>. You can: \u003C/p>\u003Cp>✅ Connect to 55+ marketing platforms through native, plug-and-go connectors\u003C/p>\u003Cp>✅ Transform and clean your data without spreadsheets or BigQuery\u003C/p>\u003Cp>✅ Create unlimited data blends, metrics, and dimensions – then reuse them everywhere\u003C/p>\u003Cp>✅ Build stunning, accurate, and stable reports and dashboards \u003C/p>\u003Cp>✅ Automate reports to go out at specific dates and times \u003C/p>\u003Cp>✅ Ask AI to write out performance summaries or extract insights from your marketing data\u003C/p>\u003Cp>✅ Set up goals and automatic alerts through email, Slack, or on the dashboard\u003C/p>\u003Cp>Plus, you'll get access to \u003Cstrong>your very own Customer Success Manager\u003C/strong> and 18/5 \u003Cstrong>live chat support\u003C/strong> that replies within 1 minute and resolves most issues within 4 hours. \u003C/p>\u003Cp>And marketers who switched to us from Looker Studio are loving it. Here’s what Kim Strickland, Digital Marketing Specialist at Peak Seven agency said in \u003Ca href=\"https://whatagraph.com/case-studies/peak-seven\">this case study\u003C/a>:\u003C/p>\u003Cp>[quote color-variant=\"3\"]\u003Cbr>With Looker Studio, everything was muddled, but Whatagraph has opened up transparency and communication. It allowed us to see clearly how our campaigns are performing and took us to the next level with our clients and team. \u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>We hope this guide was helpful in making your Looker Studio report load faster.\u003C/p>\u003Cp>But if you’ve had enough of Looker Studio and want some peace of mind, don't hesitate to \u003Ca href=\"https://whatagraph.com/book-a-call\">reach out to our team\u003C/a>. \u003C/p>","2023-06-07T14:56:29.893Z","2025-10-14T09:11:52.002Z","2023-06-07T18:17:31.405Z","2025-06-16","xfmxw2y70at6lffj39vjmt3f",{"id":970,"name":971,"alternativeText":972,"caption":78,"width":617,"height":618,"formats":973,"hash":979,"ext":110,"mime":111,"size":980,"url":981,"previewUrl":78,"provider":95,"provider_metadata":78,"createdAt":982,"updatedAt":983,"documentId":984,"publishedAt":98,"focalPoint":78},15643,"Marketing analytics & reporting _ looker studio so slow.png","Marketing Analytics Reporting - Analytics dashboard with key metrics and performance charts.",{"thumbnail":974},{"ext":110,"url":975,"hash":976,"mime":111,"name":977,"path":78,"size":978,"width":570,"height":571},"https://s3.us-east-2.amazonaws.com/whatagraph.com/thumbnail_Marketing_analytics_and_reporting_looker_studio_so_slow_873df2c348.png","thumbnail_Marketing_analytics_and_reporting_looker_studio_so_slow_873df2c348","thumbnail_Marketing analytics & reporting _ looker studio so slow.png",26.33,"Marketing_analytics_and_reporting_looker_studio_so_slow_873df2c348",1100.96,"https://s3.us-east-2.amazonaws.com/whatagraph.com/Marketing_analytics_and_reporting_looker_studio_so_slow_873df2c348.png","2025-10-14T09:11:01.814Z","2025-10-14T09:11:04.657Z","exz07exq494imytv12nnxi0z",{"id":986,"name":987,"about":988,"email":989,"createdAt":990,"updatedAt":991,"publishedAt":992,"slug":993,"linkedin_url":994,"documentId":995},134,"Yamon","Yamon is a Senior Content Marketing Manager at Whatagraph. \n\nWith an eye for detail and a knack for always considering context, audience, and business goals to guide the narrative, she's on a mission to create genuinely helpful content for marketers. \n\nWhen she’s not working, she’s hiking, meditating, or practicing yoga.","yamon@whatagraph.com","2024-10-04T13:36:17.539Z","2026-05-29T09:56:26.037Z","2024-10-04T13:43:50.159Z","yamon","https://www.linkedin.com/in/yamon-y-57371212b/","xxvsq30vbzh58g40uk4boxxt",{"id":997,"metaTitle":960,"metaDescription":998,"addNoIndex":78,"canonicalURL":78},1696,"Get concise answers to your question: \"Why is Looker Studio slow?\" and find 6 ways to make Looker Studio faster. ",[],{"id":63,"title":579,"slug":580,"subheading":581,"createdAt":582,"updatedAt":583,"publishedAt":584,"documentId":585},{"id":1002,"description":1003,"title":78},378,"Have more questions about Looker Studio? We answered them here.",{"id":844,"title":846,"slug":847,"summary":1005,"body":1006,"read_time":42,"createdAt":1007,"updatedAt":1008,"publishedAt":1009,"errors":78,"table_of_contents":15,"dateReorder":1010,"documentId":845,"cover_image":1011,"banners":78,"author":1014,"seo":1015,"tags":1018,"article_category":1019,"competitor":78,"FAQ":1020},"\u003Cp>The best AI reporting tools in 2026 are the ones with a governed data layer underneath the AI, not the ones with the longest AI feature list.\u003C/p>\u003Cp>For agencies, Whatagraph, NinjaCat, and AgencyAnalytics are the best fits. For data teams, that’s Funnel and Improvado, and for enterprises, Tableau and Power BI.\u003C/p>\u003Cp>In this article I tested nine AI reporting tools against six criteria, and shared customer reviews and top features of reach.\u003C/p>","\u003Cp>In 2026, every tool has shipped AI. AI agents, natural language queries, MCP servers—the whole nine yards.\u003C/p>\u003Cp>The question now isn’t about “which reporting tool has AI?” but more “which reporting tools with AI \u003Cstrong>can I trust?\u003C/strong>”\u003C/p>\u003Cp>Because you can’t always trust what AI gives you back.\u003C/p>\u003Cp>\u003Ca href=\"https://neilpatel.com/blog/ai-hallucination-data-study/\" target=\"_blank\" rel=\"noopener noreferrer\">NP Digital's AI Hallucinations and Accuracy Report\u003C/a> shows that across 600 tested prompts and a survey of 565 US marketers, reporting and analytics came back as one of the three task categories where AI errors show up most, at a 34.2% daily error rate.\u003C/p>\u003Cp>\u003Cstrong>Over 70% of marketers now spend one to five hours a week fact-checking AI output.\u003C/strong>\u003C/p>\u003Cp>Here’s an interesting study that explains the root causes of AI hallucinations in data. \u003Ca href=\"https://docs.getdbt.com/blog/semantic-layer-vs-text-to-sql-2026\" target=\"_blank\" rel=\"noopener noreferrer\">dbt Labs ran an open-source benchmark\u003C/a> that compares querying AI on raw data vs. on a semantic layer—a governed data layer where your data is cleaned and standardized.\u003C/p>\u003Cp>Querying raw tables, Claude scored 90.0% and GPT 84.1%. Querying through a semantic layer, the same models scored 98.2% and 100%.\u003C/p>\u003Cp>This means: for queries covered by a well-modeled semantic layer, AI gives nearly 100% accurate answers, while when querying raw data, it’s not as accurate.\u003C/p>\u003Cp>[quote color-variant=\"4\"]\u003Cbr>The way to improve data accuracy isn't choosing the \"best\" AI reporting tool. It's adding a semantic layer between your raw data and the AI: one place where your metrics are defined, your dimensions are normalized, and your data is cleaned before the AI ever touches it.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>Skip this part and all your AI-generated reports, performance summaries, and Claude answers will be incomplete or inaccurate.\u003C/p>\u003Cp>And a case study to back this up. For \u003Ca href=\"https://cloud.google.com/customers/overdose-digital\" target=\"_blank\" rel=\"noopener noreferrer\">Overdose Digital\u003C/a>, an agency running around 300 clients, client distrust of hallucinated results hindering them to go AI-first. So they rebuilt their reporting around a semantic layer instead of querying raw APIs, and this eliminated AI hallucinations.\u003C/p>\u003Cp>\u003Cstrong>👉 Check if your data is ready for AI with this \u003C/strong>\u003Ca href=\"https://whatagraph.com/ai-readiness-quiz\">\u003Cstrong>1-minute AI readiness quiz\u003C/strong>\u003C/a>\u003Cstrong>.\u003C/strong>\u003C/p>\u003Ch2>How I evaluated AI reporting tools for marketers\u003C/h2>\u003Cp>Taking this into consideration, I evaluated nine AI model reporting platforms in this article against six criteria.\u003C/p>\u003Cp>Here’s how to choose AI reporting tools:\u003C/p>\u003Col>\u003Cli data-list-item-id=\"e4eb2c286fd2a94a02343815a19689899\">\u003Cstrong>Governed semantic layer underneath the AI.\u003C/strong> Is there a layer where your data is cleaned and standardized or is the AI reading raw platform output?\u003C/li>\u003Cli data-list-item-id=\"e1e32a9347a2e9927e2b4b853c3053635\">\u003Cstrong>Connector reliability.\u003C/strong> Can you rely on the data connectors to stay connected without you having to babysit them?\u003C/li>\u003Cli data-list-item-id=\"ea041391a4fad4f9b559116f7755dd8fb\">\u003Cstrong>Scope of AI features.\u003C/strong> How much does the AI actually do? Building reports, writing summaries, running agents, answering in Claude or ChatGPT over MCP, or just one of those?\u003C/li>\u003Cli data-list-item-id=\"e8924700e0a160b050c546652c8f6ff3f\">\u003Cstrong>Narrative quality.\u003C/strong> Do these AI reporting tools generate natural language summaries that explain what changed and why accurately, \u003Ci>with\u003C/i> your business context?\u003C/li>\u003Cli data-list-item-id=\"e8082c2c1c077079249d59ac6d1779071\">\u003Cstrong>Anomaly detection.\u003C/strong> Do broken sources get caught before your client or manager catches them?\u003C/li>\u003Cli data-list-item-id=\"ed022273b53b8682c4ea3caafbfb14d7e\">\u003Cstrong>Scale across clients or locations.\u003C/strong> Templates, tags, and roll-ups that don't multiply your workload.\u003C/li>\u003C/ol>\u003Cp>The nine tools reviewed in this article fall into three categories:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e1ae53c559b32b5a38e5bb4a48c82fd7f\">All-in-one marketing intelligence and reporting platforms built for marketers\u003C/li>\u003Cli data-list-item-id=\"eb684f8047c3f5a0d319e215c658e3c02\">ETL and data ingestion platforms that pipe data into a BI tool you already own\u003C/li>\u003Cli data-list-item-id=\"e688b3babe00562dcb67070dd26047de6\">Enterprise BI platforms: more powerful but heavier on the pocket\u003C/li>\u003C/ul>\u003Cp>I've labeled each one below so you always know which kind you're reading about.\u003C/p>\u003Ch2>Top AI reporting tools 2026: quick comparison table\u003C/h2>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Tool\u003C/th>\u003Cth>Category\u003C/th>\u003Cth>Best for\u003C/th>\u003Cth>Entry price\u003C/th>\u003Cth>Key differentiator\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>\u003Cstrong>Whatagraph\u003C/strong>\u003C/td>\u003Ctd>All-in-one marketing intelligence\u003C/td>\u003Ctd>Mid-size agencies and multi-location operators\u003C/td>\u003Ctd>From €699/mo\u003C/td>\u003Ctd>Data layer and reporting layer in one product\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Tableau\u003C/strong>\u003C/td>\u003Ctd>Enterprise BI\u003C/td>\u003Ctd>Teams with an analyst or data engineer on staff\u003C/td>\u003Ctd>$75/Creator/mo\u003C/td>\u003Ctd>Deepest visualization and semantic modeling\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Power BI\u003C/strong>\u003C/td>\u003Ctd>Enterprise BI\u003C/td>\u003Ctd>Teams already inside Microsoft 365 or Fabric\u003C/td>\u003Ctd>$14/user/mo\u003C/td>\u003Ctd>Cheapest per seat, but AI needs Fabric capacity\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>NinjaCat\u003C/strong>\u003C/td>\u003Ctd>All-in-one, agent-first\u003C/td>\u003Ctd>Teams running a lot of accounts\u003C/td>\u003Ctd>Custom, est. $1,500+/mo\u003C/td>\u003Ctd>100+ prebuilt agents, runs inside your Snowflake\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Klipfolio\u003C/strong>\u003C/td>\u003Ctd>Dashboards plus metrics catalogue\u003C/td>\u003Ctd>Companies wanting one certified metric definition\u003C/td>\u003Ctd>$120/mo (Klips Base)\u003C/td>\u003Ctd>Certified metric catalog, sold as two products\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Funnel\u003C/strong>\u003C/td>\u003Ctd>ETL and data ingestion\u003C/td>\u003Ctd>Teams who already know their schema\u003C/td>\u003Ctd>$200/mo\u003C/td>\u003Ctd>Best-in-class connector stability\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Improvado\u003C/strong>\u003C/td>\u003Ctd>ETL, enterprise end\u003C/td>\u003Ctd>High-spend teams with data ops capacity\u003C/td>\u003Ctd>Custom, no public pricing\u003C/td>\u003Ctd>MCP with 84 tools that read and write\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>AgencyAnalytics\u003C/strong>\u003C/td>\u003Ctd>All-in-one for agencies\u003C/td>\u003Ctd>Agencies under about 30 clients\u003C/td>\u003Ctd>$20/client/mo\u003C/td>\u003Ctd>Every feature on one plan, including AI and MCP\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Databox\u003C/strong>\u003C/td>\u003Ctd>All-in-one, dashboard-first\u003C/td>\u003Ctd>Teams wanting the lowest paid entry point\u003C/td>\u003Ctd>$79/mo (agency track)\u003C/td>\u003Ctd>AI credits capped monthly, no overage billing\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>Let’s dig into each of them.\u003C/p>\u003Ch3>1. Whatagraph\u003C/h3>\u003Cp>\u003Cstrong>Category:\u003C/strong> All-in-one marketing intelligence platform and AI tool for automated reporting\u003C/p>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Mid-size marketing agencies and multi-location operators who need to report on cross-channel data\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/whatagraph_hero_38523c901d.png\" alt=\"whatagraph-hero.png\" width=\"2400\" height=\"1500\">Whatagraph is an all-in-one marketing intelligence platform built for scale with a semantic data layer powering every report, dashboard, and AI tool you use.\u003C/p>\u003Cp>You connect sources, define your metrics and dimensions once, and use this governed data to create client reports and internal dashboards, and to analyze your data with Claude or other AI tools.\u003C/p>\u003Cp>Here’s how it holds up against the five criteria we identified earlier:\u003C/p>\u003Cp>\u003Cstrong>1. Governed semantic layer underneath the AI.\u003C/strong> Whatagraph’s \u003Ca href=\"https://whatagraph.com/data-hub\">Data Hub\u003C/a> stores, cleans, and standardizes your data instead of querying platform APIs live every time someone opens a report. These are ways you can build your semantic layer:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"eaf92c982b231217378f763d541030b80\">\u003Cstrong>Blends.\u003C/strong> Combine datasets from different channels into one cross-channel view. You pick the join key, like Date or Campaign, and the join type. No SQL involved.\u003C/li>\u003Cli data-list-item-id=\"eb4be106532d82ae911d54e71d50f5cee\">\u003Cstrong>Source Groups.\u003C/strong> Roll multiple accounts from the same channel into one source, so five Google Ads accounts for the same client report as a single line instead of five.\u003C/li>\u003Cli data-list-item-id=\"e051fbd8c6f77ae810f1543852369feb8\">\u003Cstrong>Custom Metrics.\u003C/strong> Build calculated KPIs across any channel: blended ROAS, MER, CAC, margin. You set the output format as a number, percentage, or currency, and it applies correctly in every chart, table, and AI answer.\u003C/li>\u003Cli data-list-item-id=\"eed668cf6ded8f77fdd44c442988fe60e\">\u003Cstrong>Custom Dimensions.\u003C/strong> Fix inconsistent naming across platforms. Google calls a campaign one thing and Meta another, so you write a rule using naming patterns, regex, or conditions and both collapse into your convention. With Whatagraph IQ, you can just choose your sources, type out a prompt and AI maps out the dimensions for you.\u003C/li>\u003Cli data-list-item-id=\"e6a688fde2bf6174c26af9ec0de997e5f\">\u003Cstrong>Source management.\u003C/strong> Tag sources by region, account manager, industry, or client tier, and organize them into client folders so you can filter to any slice without scrolling through a source list.\u003C/li>\u003C/ul>\u003Cp>The best part is—all of this is built for non-technical marketers, so you don’t need to have a dedicated data team to build and manage the semantic layer.\u003C/p>\u003Cp>Plus, insights are self-served—anyone on your team can easily check the dashboards or ask Claude or ChatGPT over a \u003Ca href=\"https://whatagraph.com/blog/articles/google-ads-mcp\">Google Ads MCP\u003C/a> (for example) to get answers without routing through a data team.\u003C/p>\u003Cp>This is why teams like \u003Ca href=\"https://peakseven.com/\" target=\"_blank\" rel=\"noopener noreferrer\">Peak Seven\u003C/a> use Whatagraph as their “single source of truth” to keep teams aligned and clients in the loop without confusion, while \u003Ca href=\"https://whatagraph.com/case-studies/peak-seven\">saving 63 hours a month on reporting\u003C/a>. Kim Strickland, Digital Marketing Specialist, says:\u003C/p>\u003Cp>[quote color-variant=\"1\"]\u003Cbr>Whatagraph has helped everyone on our team get on the same page about clients, what’s important, and how to talk to them. Our relationships with clients have been amazing, and we’ve even been able to retain them longer.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>\u003Cstrong>2. Connector depth and reliability.\u003C/strong> Whatagraph offers 65+ native integrations with marketing channels that are maintained by in-house engineers so you don’t have to babysit them. Self-healing widgets catch incompatible metrics or wrong dimensions before they break the report a client is about to open. \u003Ca href=\"https://www.linkedin.com/in/tanjastjepanovic/\" target=\"_blank\" rel=\"noopener noreferrer\">Tanja Keglić\u003C/a>, Performance Marketing Manager at Achtzehn Grad agency vouches:\u003C/p>\u003Cp>[quote color-variant=\"2\"]\u003Cbr>We don’t have any connection issues on Whatagraph at all. We just connected the platforms once, and that was it.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>Across \u003Ca href=\"https://www.g2.com/products/whatagraph/reviews\" target=\"_blank\" rel=\"noopener noreferrer\">283 G2 reviews\u003C/a> Whatagraph sits at 4.5, and a director of analytics who moved over from Datorama specifically credits the API integrations being maintained proactively. Another names the automated notification when a data source breaks. One cites the 99.95% uptime guarantee and says the platform hasn't gone down on them once.\u003C/p>\u003Cp>The honest gap is coverage, and it's the most consistent request in the reviews. Several reviewers ask for a wider range of platforms, and X Ads still isn't supported.\u003C/p>\u003Cp>\u003Cstrong>3. Comprehensive AI features.\u003C/strong> Whatagraph offers AI features for the entire reporting workflow:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e4959fa7d1a1eb17e5414f58f4326bf8d\">\u003Ca href=\"https://whatagraph.com/whatagraph-iq\">\u003Cstrong>Whatagraph IQ\u003C/strong>\u003C/a> is your fastest way to generate client-ready marketing reports. AI builds a full report, a tab, or a single widget from a text prompt, and IQ Themes pulls a client's brand colors and fonts from their logo. IQ Chat sits on the shared report link so clients ask their own questions instead of emailing you.\u003C/li>\u003C/ul>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:800/476;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Whatagraph_features_079cef57b3.gif\" alt=\"Whatagraph Features - A web dashboard with a sidebar menu and search bar at the top.\" width=\"800\" height=\"476\">\u003C/figure>\u003Cul>\u003Cli data-list-item-id=\"efb0394d38c19e276895efe3cc63d85ea\">\u003Ca href=\"https://whatagraph.com/mcp\">\u003Cstrong>Whatagraph MCP\u003C/strong>\u003C/a> connects Claude or ChatGPT to the same governed layer your reports read, in a five-step setup with no code.\u003C/li>\u003C/ul>\u003Cp style=\"text-align:center;\">\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Whatagraph_MCP_1e34080fac.gif\" alt=\"Whatagraph MCP.gif\" width=\"800\" height=\"613\">\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ea28bec956f70b491f3785c12a5f9409f\">\u003Ca href=\"https://whatagraph.com/agents-waitlist\">\u003Cstrong>Whatagraph IQ Agents\u003C/strong>\u003C/a>, currently in early access, is the next step: instead of building reports or normalizations by hand, agents do it on your behalf with your instructions. This way you can onboard the next client or location in less than an hour - with all your sources connected, data cleaned, and reports automated. Agents also monitor for anomalies, broken connections, or off-pace goals and handle things on your behalf (with the appropriate permissions).\u003C/li>\u003C/ul>\u003Cp>Lars Maat, Co-Founder of Maatwerk Online agency, \u003Ca href=\"https://whatagraph.com/case-studies/maatwerk-online\">saves 100 hours a month on reporting\u003C/a> with Whatagraph’s AI. He says:\u003C/p>\u003Cp>[quote color-variant=\"3\"]\u003Cbr>Whatagraph’s AI saves time and energy for our marketing specialists—and the hours we’re saving is just pure profit. We now have the time to focus on more strategic things that help both our agency and our clients grow.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>\u003Cstrong>4. Narrative quality.\u003C/strong> IQ Summary, Whatagraph’s AI-assisted drafting report narratives tool, writes the performance commentary inside the report: a summary, wins, recommendations, issues, or whatever you prompt it for. It reads the governed data, not the raw feed, so the blended ROAS in the paragraph is the same blended ROAS in the widget above it.\u003C/p>\u003Cp>Or you can also connect your governed data to Claude or ChatGPT, upload your business context there (like artifacts or skills), ask the AI to write performance summaries and paste it back to your Whatagraph reports.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/AI_summaries_Google_Analytics_reporting_tool_e6b084e94c.png\" alt=\"\" width=\"1440\" height=\"952\" ai=\"\" summaries=\"\" -=\"\" a=\"\" pop-up=\"\" window=\"\" showing=\"\" the=\"\" edit=\"\" widget=\"\" interface,=\"\" with=\"\" \"summary\"=\"\" and=\"\" \"recommendations\"=\"\" selected.\"\"=\"\">\u003C/p>\u003Cp>With IQ Agents, you can just ask an agent to do it for you on your behalf.\u003C/p>\u003Cp>\u003Cstrong>Because these narrative summaries are written based on your semantic data layer, they’re accurate analyses and not hallucinations.\u003C/strong>\u003C/p>\u003Cp>\u003Ca href=\"https://www.linkedin.com/posts/christophermarrano_60-hours-of-reporting-5-minutes-ai-generates-ugcPost-7401607402426359810-ye6W?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAfxqm8BdiuwIgrXPep7IFBVSZJ5K5BGDT8\" target=\"_blank\" rel=\"noopener noreferrer\">Marketers on LinkedIn\u003C/a> are also buzzing about how much they love Whatagraph’s AI reporting tool:\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:1196/518;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Marketers_talking_about_Whatagraph_AI_reporting_tool_2e636cff43.png\" alt=\"Marketers Talking About Whatagraph AI Reporting Tool - Social media comments discussing a platform.\" width=\"1196\" height=\"518\">\u003C/figure>\u003Cp>\u003Cstrong>5. Anomaly detection.\u003C/strong> Whatagraph was built for true anomaly detection for marketers. You can create a portfolio overview of all your clients, accounts, and locations, broken down by custom tags that make sense for your business. Then, on top of each account or client, you set goals and limits like “$X maximum budget” or “100 leads expected”. Then you can set alerts for how your campaigns are pacing against these goals and get alerted via Slack or email.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Whatagraph_overviews_and_goals_42b2acb74a.png\" alt=\"Whatagraph Overviews And Goals - A PPC overview and alert settings interface.\" width=\"2070\" height=\"978\">\u003C/p>\u003Cp>\u003Cstrong>6. Scale across clients or locations.\u003C/strong> On Whatagraph, you can save everything as a template, which makes it wildly easy and fast to create new reports the next time you onboard a new client or location. For example, you create a custom metric once (e.g. blended ROAS) and save this metric as a “template” and add it to all new reports you want to create without having to build it again from scratch.\u003C/p>\u003Cp>Same thing with reports. Marketers on Whatagraph usually build a report template for specific clients (e.g. lead generation client), and then reuse this template the next time.\u003C/p>\u003Cp>What’s more, there’s this thing called “linked templates” which means you edit a “Master” report once (e.g. adding a new widget) and the change cascades to every report linked to it. Maatwerk Online runs 100+ clients on four pillar templates that cover 90% of them, saving around 100 hours a month.\u003C/p>\u003Cp>For multi-location, \u003Ca href=\"https://whatagraph.com/case-studies/rentable\">Rentable\u003C/a> runs 215 active customer reports across 5,000+ Google Business Profile sources, with account managers self-serving insights instead of filing tickets with the data team.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Scales_with_your_agency_5d47fa5ec7.png\" alt=\"Linked - An interface for an ad campaign management platform.\" width=\"2160\" height=\"1428\">\u003C/p>\u003Cp>Want to compare Whatagraph against other types of reporting tools? Check out this \u003Ca href=\"https://whatagraph.com/alternatives\">Whatagraph vs. Alternatives\u003C/a> comparison library.\u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ef4b2644314a366e721441d2a9ae40d99\">Metrics and dimensions defined once, applied everywhere\u003C/li>\u003Cli data-list-item-id=\"e6f1785a5508ffa053203b96b94f8edff\">Blends across Google, Meta, TikTok, and Shopify with no SQL\u003C/li>\u003Cli data-list-item-id=\"e58ec6e2495a1b1c879a1c203035fd7b9\">Self-healing connectors fixed by Whatagraph's team\u003C/li>\u003Cli data-list-item-id=\"e473e1960112be7ec122cad11065dd92f\">AI report building, summaries, and client-facing chat\u003C/li>\u003Cli data-list-item-id=\"e29e7365a3e79b0a7915e051d14a4c9b8\">Claude and ChatGPT access to the same governed data\u003C/li>\u003Cli data-list-item-id=\"e99430fab591deb2e19c281b9db4e0294\">Linked templates and tags for large client rosters\u003C/li>\u003Cli data-list-item-id=\"eb57313abeb76ed4fabc216ca6b049d9e\">Unlimited users and reports on both plans\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Customer reviews:\u003C/strong>\u003C/p>\u003Cp>“Whatagraph is extremely flexible and the visuals are beautiful, which is important for having clients be engaged in the reports.” \u003Ca href=\"https://www.g2.com/products/whatagraph/reviews\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“Whatagraph’s initial setup was easier than expected, with a flexible onboarding schedule and instant connections to data, allowing us to quickly produce reports and create reusable templates across clients.” \u003Ca href=\"https://www.g2.com/products/whatagraph/reviews/whatagraph-review-13202214\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“It can be a bit slow to load at times, particularly for Amazon and Microsoft connectors. But this is few & far between.” \u003Ca href=\"https://www.g2.com/products/whatagraph/reviews/whatagraph-review-12569787\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>\u003Cstrong>Pricing\u003C/strong>\u003C/p>\u003Cp>Whatagraph’s pricing scales with your team and AI usage. Check out \u003Ca href=\"https://whatagraph.com/pricing\">the pricing page\u003C/a> for the most updated information.\u003C/p>\u003Ch3>2. Tableau\u003C/h3>\u003Cp>\u003Cstrong>Category:\u003C/strong> Enterprise BI platform\u003C/p>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Teams with an analyst or data engineer who need modeling depth well beyond marketing reports.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/tableau_hero_1_b70ae039f0.png\" alt=\"tableau-hero (1).png\" width=\"2400\" height=\"1500\">\u003C/p>\u003Cp>Tableau is a business intelligence and analytics software that’s mostly focused for enterprises with a dedicated data team.\u003C/p>\u003Cp>\u003Cstrong>1. Governed semantic layer underneath the AI.\u003C/strong> \u003Ca href=\"https://www.tableau.com/products/tableau-semantics\" target=\"_blank\" rel=\"noopener noreferrer\">Tableau Semantics\u003C/a> gives you a real semantic layer where metrics, relationships, and business rules live once, and the data connectors cover 200+ sources.\u003C/p>\u003Cp>2. \u003Cstrong>Connector reliability\u003C/strong>. Across \u003Ca href=\"https://www.g2.com/products/tableau/reviews\" target=\"_blank\" rel=\"noopener noreferrer\">3,785 G2 reviews\u003C/a>, 275 people specifically praise how smoothly Tableau connects to multiple sources at once, and connections breaking barely registers as a theme.\u003C/p>\u003Cp>What does come up, over and over, is speed. Slow performance on large datasets is the biggest functional complaint at 155 mentions, with another 133 on slow loading times, 127 on large data handling, and 124 on general performance issues.\u003C/p>\u003Cp>Reviewers trace it to the same two causes: live connections to a slow database, or a data model nobody optimized. One Salesforce developer sums up the underlying point better than a vendor would: \"Tableau doesn't fix bad data.\" If the source is dirty, it visualizes the mess beautifully.\u003C/p>\u003Cp>\u003Cstrong>2. Comprehensive AI features.\u003C/strong> \u003Ca href=\"https://www.tableau.com/products/tableau-pulse\" target=\"_blank\" rel=\"noopener noreferrer\">Tableau Pulse\u003C/a> ships with every Cloud edition and delivers automated insights as metric digests.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:800/447;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/AI_reporting_tools_20_ca5cc08697.png\" alt=\"AI Reporting Tools - Reporting dashboard with metrics for device sales, fill rate, and revenue.\" width=\"800\" height=\"447\">\u003C/figure>\u003Cp>Tableau Agent handles natural language queries, and \u003Ca href=\"https://tableau.github.io/tableau-mcp/\" target=\"_blank\" rel=\"noopener noreferrer\">Tableau MCP\u003C/a> servers are now generally available for Tableau Next, Cloud, and Server, with a fully cloud-hosted service on Tableau Cloud so you don't self-host.\u003C/p>\u003Cp>Point ChatGPT or Claude at it and you can query data sources and pull Tableau Pulse metrics conversationally. Other enterprise-level software like Domo and Zoho Analytics ship MCP servers now too, so this is table stakes across BI rather than a Tableau differentiator.\u003C/p>\u003Cp>\u003Cstrong>3. Anomaly detection.\u003C/strong> Pulse surfaces metric changes and pace-to-goal insights, and Data Monitor is generally available in Tableau Next.\u003C/p>\u003Cp>\u003Cstrong>4. Narrative quality.\u003C/strong> Dashboard narratives and Pulse insights read well for an internal audience, and Einstein Discovery adds predictive analytics on top. But note that they’re more suitable for internal people who are already familiar with the data, and there's no white-labeled client report that you can paste the summaries into.\u003C/p>\u003Cp>\u003Cstrong>5. Scale across clients or locations.\u003C/strong> This is where Tableau doesn’t win. Pricing and structure are per user, per site, so a new client means seats or an embedded analytics project rather than a linked report template.\u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ebc22dcf0af36ff4a86dc3bb0a1b70f2f\">Semantic layer with reusable metric definitions\u003C/li>\u003Cli data-list-item-id=\"e5a5e487547e6acd6e013ce8801bab1b4\">Tableau Pulse automated insights on every Cloud edition\u003C/li>\u003Cli data-list-item-id=\"e60540f965badb4271796ecc96e355b57\">Hosted MCP endpoint with OAuth 2.1\u003C/li>\u003Cli data-list-item-id=\"ed8c7762c45243faed6ebf822f57c3eb9\">200+ data connectors, warehouse-first\u003C/li>\u003Cli data-list-item-id=\"e8a6a207e486ad9d844ef1be4467430cd\">Deepest visualization and calculation library here\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Customer reviews:\u003C/strong>\u003C/p>\u003Cp>“This platform is great at turning raw data into useful insights, giving business users the power to dig through and analyse large amounts of data, and to merge important KPIs themselves.” \u003Ca href=\"https://www.g2.com/products/tableau/reviews/tableau-review-13124621\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“Tableau can be resource-intensive with large datasets, and some advanced functionalities have a steep learning curve. Licensing costs can also be a concern for smaller teams.” \u003Ca href=\"https://www.g2.com/products/tableau/reviews/tableau-review-13075232\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“Tableau's greatest strength is also one of its challenges: it's a mature platform with an incredible depth of features. Because of that, new capabilities can sometimes take longer to reach users than we'd like, as they need to fit into an already robust ecosystem.” \u003Ca href=\"https://www.g2.com/products/tableau/reviews/tableau-review-13060039\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>\u003Cstrong>Pricing\u003C/strong>\u003C/p>\u003Cp>Cloud Standard runs $75 per Creator, $42 per Explorer, and $15 per Viewer, per month, billed annually. Enterprise is $115, $70, and $35. Cloud+ adds Tableau Agent across Prep, authoring, catalog, dashboards, and Pulse, plus support for up to 50 sites, and is quoted by sales.\u003C/p>\u003Cp>Two key things to be aware of: every deployment needs at least one Creator, and all plans require an annual contract, with single-year deals running 20 to 30% more than multi-year. There's no free commercial tier.\u003C/p>\u003Ch3>3. Power BI\u003C/h3>\u003Cp>\u003Cstrong>Category:\u003C/strong> Enterprise BI platform\u003C/p>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Teams already living in Microsoft 365, Azure, or Fabric ecosystem.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/powerbi_hero_fc73488406.png\" alt=\"powerbi-hero.png\" width=\"2400\" height=\"1500\">\u003C/p>\u003Cp>Power BI is one of the most powerful and popular AI tools for business reporting automation - if your company is already in the Microsoft ecosystem AND has a large data engineering team. If you’re not already in the Microsoft ecosystem though, expect to spend around $20,000 a year if you want the full AI suite.\u003C/p>\u003Cp>\u003Cstrong>1. Governed semantic layer underneath the AI.\u003C/strong> Power BI offers \u003Ca href=\"https://learn.microsoft.com/en-us/fabric/onelake/onelake-overview\" target=\"_blank\" rel=\"noopener noreferrer\">Microsoft OneLake\u003C/a>, which is a unified data lake for your entire organization and a central repo where you can store, manage, and organize your data. Microsoft also agrees with the thesis we defined earlier in the article—without star-schema modeling, naming, descriptions, and AI instructions in place, \u003Ci>“Copilot mainly produces low-quality and inaccurate outputs.”\u003C/i>\u003C/p>\u003Cp>However, and this can be a dealbreaker for marketing agencies—Power BI is extremely difficult to use for non-technical people, and insights cannot be self-served. This means when someone on your team, say an Account Manager,\u003C/p>\u003Cp>\u003Cstrong>2. Connector reliability.\u003C/strong> Across \u003Ca href=\"https://www.g2.com/products/microsoft-microsoft-power-bi/reviews\" target=\"_blank\" rel=\"noopener noreferrer\">1,657 G2 reviews\u003C/a>, 66 people specifically praise how well Power BI connects to databases, and connectors breaking barely gets mentioned at all.\u003C/p>\u003Cp>However, “slow performance on large datasets” is the second most common complaint at 65 mentions, with another 29 on performance with complex reports and 27 on complex data modeling. \u003Cstrong>This means while Power BI’s connectors are stable, large datasets and complex reports and data models can get glitchy.\u003C/strong>\u003C/p>\u003Cp>\u003Cstrong>3. Comprehensive AI features.\u003C/strong> Power BI offers one-click data visualization from your governed data, natural language query, decomposition tree, anomaly detection, sentiment analysis, and forecasting—all with AI. Here’s an example of how the data visualization looks like:\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Power_BI_data_visualization_with_AI_51f90b7f1e.gif\" alt=\"Power BI data visualization with AI.gif\" width=\"1812\" height=\"1080\">\u003C/p>\u003Cp>\u003Ca href=\"https://techcommunity.microsoft.com/blog/educatordeveloperblog/power-bi-ai-features-for-all-data-analysts/3835447\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>\u003Cstrong>3. Anomaly detection.\u003C/strong> Power BI’s anomaly detection system is more like a visualization feature rather than Goals and Alerts on Whatagraph. You create line charts and find anomalies in your time series data. Power BI itself \u003Ca href=\"https://learn.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-anomaly-detection\" target=\"_blank\" rel=\"noopener noreferrer\">admits the limitations\u003C/a>—anomaly detection is only supported for line-chart visuals containing time series data in the Axis field.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:1812/1080;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Power_BI_anomaly_detection_f52149bc17.gif\" alt=\"Power BI anomaly detection.gif\" width=\"1812\" height=\"1080\">\u003C/figure>\u003Cp>\u003Cstrong>4. Narrative quality.\u003C/strong> Copilot narrative visuals and summaries are solid for internal business reports. Same limitation as Tableau: nothing here is built to be the executive summary above a chart in a client's branded PDF.\u003C/p>\u003Cp>\u003Cstrong>5. Scale across clients or locations.\u003C/strong> Scalability is a licensing question here, not a product one. Below F64, every viewer needs a Pro or PPU license; at F64 and above viewers need only a free license. For an agency sharing live dashboards with dozens of client contacts, that threshold is the entire decision.\u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e42fb035c9587c1eb0887061f4a634ad2\">Semantic models with reusable measures in DAX\u003C/li>\u003Cli data-list-item-id=\"eba89ce46f84d425be9396dd8e60ff004\">Copilot report generation and chat, on capacity\u003C/li>\u003Cli data-list-item-id=\"eff4e32aab0b693ca019649fabc97fc69\">GA Fabric data agents and local MCP server\u003C/li>\u003Cli data-list-item-id=\"e42fd179970113c03e392548dde5a291b\">Native to Microsoft 365, Teams, Excel, and Azure\u003C/li>\u003Cli data-list-item-id=\"e19af04a0d111a5b587ba2de3be17a11a\">Lowest per-seat entry price on this list\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Customer reviews:\u003C/strong>\u003C/p>\u003Cp>“The sheer power of its data modeling capabilities is incredible. I can pull data from completely different sources—like SQL servers, Excel sheets, and cloud apps—and connect them flawlessly.” \u003Ca href=\"https://www.g2.com/products/microsoft-microsoft-power-bi/reviews/microsoft-power-bi-review-13248179\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“Honestly a few things bug me. DAX is still brutal for beginners, it's powerful but way too easy to mess up and hard to debug. Pricing keeps creeping up too — Pro jumped to $14/user/month from $10, and Premium per-user is $24, and a lot of the good AI/Copilot stuff is locked behind those higher tiers.” \u003Ca href=\"https://www.g2.com/products/microsoft-microsoft-power-bi/reviews/microsoft-power-bi-review-12290482\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“Performance can slow down when working with very large datasets locally, and there’s a steep learning curve when you get into more advanced DAX modeling.” \u003Ca href=\"https://www.g2.com/products/microsoft-microsoft-power-bi/reviews/microsoft-power-bi-review-13214111\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>\u003Cstrong>Pricing\u003C/strong>\u003C/p>\u003Cp>Power BI Pro is $14 per user per month and Premium Per User is $24, both billed yearly. Fabric capacity starts at F2, roughly $262.80/month pay-as-you-go, scaling to about $8,409/month for F64, or $5,002.67/month reserved for one year. Copilot requires F2 or above, or PPU. Reserved capacity cuts around 40%.\u003C/p>\u003Ch3>4. NinjaCat\u003C/h3>\u003Cp>\u003Cstrong>Category:\u003C/strong> All-in-one platform, agent-first\u003C/p>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Multi-account teams that want AI agents watching campaign performance instead of dashboards they have to remember to open.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/ninjacat_hero_cdf44ef323.png\" alt=\"ninjacat-hero.png\" width=\"2400\" height=\"1500\">\u003C/p>\u003Cp>NinjaCat repositioned itself from a marketing intelligence platform to an AI agent platform built for multi-account marketing teams, unifying data from 150+ sources, deploying customizable agents for automated reporting, pacing, anomaly detection, and optimization, and delivering client reports.\u003C/p>\u003Cp>\u003Cstrong>1. Governed semantic layer underneath the AI.\u003C/strong> \u003Ca href=\"https://www.ninjacat.io/marketing-performance-management-platform/marketing-data-management\" target=\"_blank\" rel=\"noopener noreferrer\">Data Cloud\u003C/a> handles automatic normalization, no-code transformations, and custom calculations across 100+ channels, including the common marketing platforms like Google Ads, gA4, and Meta Ads. Non-technical folks can use a visual editor and plain-English prompts to join, map, rename, and calculate fields. And their automatic normalization tidies up multi‑account, multi‑network campaign data.\u003C/p>\u003Cp>\u003Cstrong>2. Connector reliability.\u003C/strong> Reviewers like the breadth of connectors and complain about speed. NinjaCat scores 4.2 across \u003Ca href=\"https://www.g2.com/products/ninjacat/reviews\" target=\"_blank\" rel=\"noopener noreferrer\">316 G2 reviews\u003C/a>, and the recent ones praise how many platforms it pulls from, naming GA4, Google Ads, Meta, and Yext in one report.\u003C/p>\u003Cp>The complaints are about what happens when you load it up: reports and templates that take a long time to open, and roll-up dashboards that time out when you put too many accounts in one view. \u003Cstrong>One agency wanted 60 accounts in a single dashboard but found NinjaCat could only handle about 20 sources.\u003C/strong>\u003C/p>\u003Cp>\u003Cstrong>3. Comprehensive AI features.\u003C/strong> NinjaCat has \u003Ca href=\"https://www.ninjacat.io/marketing-performance-management-platform/ai-agents\" target=\"_blank\" rel=\"noopener noreferrer\">AI agents\u003C/a> for virtually anything and everything—including negative keyword discovery, search-term mining, pacing and spend monitoring, cross-account benchmarking, ad copy QA, rank tracking, and renewal alerts, with 300+ additional agent starter packs in progress. Agents post findings into Slack and join live calls. Agent Builder also connects to external MCP servers, so agents can pull tools in from other platforms.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:1951/1088;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/AI_reporting_tools_12_fafffbf63e.png\" alt=\"AI Reporting Tools - Four profile cards, each showing a cartoon agent and relevant keywords.\" width=\"1951\" height=\"1088\">\u003C/figure>\u003Cp>\u003Cstrong>3. Anomaly detection.\u003C/strong> This appears as an agent in NinjaCat (surprise surprise). Here’s how it works: an anomaly agent spots a CPC spike across three accounts overnight, alerts the paid media team in Slack, a second agent diagnoses the cause, and it generates response options. Their published customer outcome: a team went from manually checking 50 clients twice a week to monitoring 200 daily in about 10 minutes.\u003C/p>\u003Cp>\u003Cstrong>4. Narrative quality.\u003C/strong> Insight summarization is one of the standing agent jobs, and the reports are genuinely client-ready rather than internal-only marketing dashboards. You can also add more business context through the agents’ chat version.\u003C/p>\u003Cp>\u003Cstrong>5. Scale across clients or locations.\u003C/strong> Built for it. Pricing is flat and includes users, sources, and reports rather than charging separately for seats, API access, or workspaces.\u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e6d99d4575ad4d0120c7139a127d37579\">100+ pre-built marketing AI agents\u003C/li>\u003Cli data-list-item-id=\"e558f96f8cd110c6dcdf8db7d7af47776\">Zero-copy Snowflake Connected App\u003C/li>\u003Cli data-list-item-id=\"e815f0f15e845caf4acc6450993086b62\">Automatic normalization and no-code transformations\u003C/li>\u003Cli data-list-item-id=\"e690926ad10252a32a199404a03aa71cb\">Agents post to Slack and join calls\u003C/li>\u003Cli data-list-item-id=\"e72ad11c15ed37fad5fb0376f1bd0a777\">Client-ready report layer on the data cloud\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Customer reviews:\u003C/strong>\u003C/p>\u003Cp>“With all of the features available at Ninjacat the possibilities are endless. Ninjacat has a lot of connectors that are able to bring in data from countless platforms. It has a great campaign budget pacing system that I use everyday.” \u003Ca href=\"https://www.g2.com/products/ninjacat/reviews\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“The platform is straightforward to use and simple to navigate.” \u003Ca href=\"https://www.g2.com/products/ninjacat/reviews/ninjacat-review-11775284\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“Stability is our biggest issue. We need something that can handle 60+ accounts in a dashboard at a time and Ninjacat is only stable at around the 10-20 accounts. This can be frustrating for our customers looking at a rollup dashboard because the dashboard will time out.” \u003Ca href=\"https://www.g2.com/products/ninjacat/reviews/ninjacat-review-4212980\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>\u003Cstrong>Pricing\u003C/strong>\u003C/p>\u003Cp>No public pricing. NinjaCat quotes per organization based on goals, scale, and required services. Third-party estimates put entry around $1,500/month and up; treat that as a market estimate, not a published figure. There's a fuller breakdown in our \u003Ca href=\"https://whatagraph.com/alternatives/ninjacat\">NinjaCat alternatives\u003C/a> piece.\u003C/p>\u003Ch3>5. Klipfolio\u003C/h3>\u003Cp>\u003Cstrong>Category:\u003C/strong> Dashboards plus a metrics catalogue\u003C/p>\u003Cp>\u003Cstrong>Best for:\u003C/strong> businesses that want certified metric definitions the whole organization self-serves from.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/klipfolio_hero_797f69e082.png\" alt=\"klipfolio-hero.png\" width=\"2400\" height=\"1500\">\u003C/p>\u003Cp>Klipfolio is two products sold separately. Klips is the original formula-driven dashboard builder with 130+ integrations. PowerMetrics is the newer metric-centric platform where definitions get certified once and reused everywhere.\u003C/p>\u003Cp>\u003Cstrong>1. Governed semantic layer underneath the AI.\u003C/strong> \u003Ca href=\"https://www.powermetrics.app/\" target=\"_blank\" rel=\"noopener noreferrer\">PowerMetrics\u003C/a> is the governed layer, and it's a good one: certified metrics and a structured catalog with clean metadata, clear definitions, and consistent business language, connecting to services, spreadsheets, a warehouse, or a semantic layer. Klips takes the opposite approach: highly customizable interactive dashboards, formula-driven, with consistency left to you.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:1515/1104;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/AI_reporting_tools_10_a41c2041db.png\" alt=\"AI Reporting Tools - Data visualization with a stacked column chart and settings pane.\" width=\"1515\" height=\"1104\">\u003C/figure>\u003Cp>\u003Cstrong>2. Connector reliability.\u003C/strong> Klipfolio scores 4.5 across \u003Ca href=\"https://www.g2.com/products/klipfolio/reviews\" target=\"_blank\" rel=\"noopener noreferrer\">256 G2 reviews\u003C/a>, and connector breadth is one of the most-praised things about it. Reviewers call out direct connections to Salesforce, databases, spreadsheets, and APIs, plus being able to set a different refresh rate per source.\u003C/p>\u003Cp>The complaints are specific and technical, which makes them useful. Reviewers report a 10MB ceiling per data source, a 200-second query timeout, and a cap on refreshes per hour that larger organizations run into. One software engineer describes queries timing out inside Klipfolio while the same query keeps running against their database.\u003C/p>\u003Cp>Then, here’s the worst part: “data source crashes are silent.” This means when your data sources break, you don’t catch them before your client or manager does.\u003C/p>\u003Cp>\u003Cstrong>2. Comprehensive AI features.\u003C/strong> PowerMetrics AI takes natural language queries and builds visualizations, with all data processing and analysis performed inside the platform rather than sent to external services. \u003Ca href=\"https://www.powermetrics.app/features/mcp-server\" target=\"_blank\" rel=\"noopener noreferrer\">PowerMetrics MCP\u003C/a> launched in 2026 as a bridge giving AI tools access to the full metrics catalog and the relationships behind it, so the assistant queries the same governed logic as the dashboards.\u003C/p>\u003Cp>\u003Cstrong>3. Anomaly detection.\u003C/strong> Thin. On PowerMetrics Launch, anomaly detection and forecasting sit in a paid Advanced Analyses add-on rather than the base plan, and Klips doesn't offer them.\u003C/p>\u003Cp>\u003Cstrong>4. Narrative quality.\u003C/strong> PowerMetrics is built for data exploration rather than report writing. Explorer is a good free-form analysis space, but there's no summary writer, so client narratives stay yours. You could technically ask Claude or ChatGPT to write summaries but there is no way to add them into your Klipfolio dashboards.\u003C/p>\u003Cp>\u003Cstrong>5. Scale across clients or locations.\u003C/strong> With Klips, you can build dashboards for clients or portfolio views but they are more suitable for companies, and Klipfolio itself agrees. There are no “at-scale” features like Whatagraph’s linked reports nor templateable dashboards, which make it difficult to scale.\u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ea0e87452432e13387549224bcbd29477\">Certified metric catalogue with a knowledge graph\u003C/li>\u003Cli data-list-item-id=\"ee7891f237f322a9a6885c6588454e0bb\">Natural language data exploration in PowerMetrics\u003C/li>\u003Cli data-list-item-id=\"e856a193cfdfd8d8a702e9ab507b0d57d\">MCP access to the metrics catalog\u003C/li>\u003Cli data-list-item-id=\"eedf9de0f2cb237966089e871606e871e\">130+ native data connectors on Klips\u003C/li>\u003Cli data-list-item-id=\"e661b6ca3c530ea8a400d058a2384d1e8\">Unlimited users on all business tiers\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Customer reviews:\u003C/strong>\u003C/p>\u003Cp>“What I really like about Klipfolio is that it’s super easy to pick up, connects smoothly with lots of data sources, the dashboards get used all the time (daily or a few times a week), and if something breaks or you need help, the support, docs, and community jump in fast basically, you almost never feel stuck.” \u003Ca href=\"https://www.g2.com/products/klipfolio/reviews/klipfolio-review-11750230\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“The learning curve shows up once a dashboard starts combining multiple sources, working with arrays, using more complex formulas, and keeping filters consistent across every component.” \u003Ca href=\"https://www.g2.com/products/klipfolio/reviews/klipfolio-review-13167850\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“It doesn't have as many chart options like Power bi or Data Studio. It's good only for light data analysis.” \u003Ca href=\"https://www.g2.com/products/klipfolio/reviews/klipfolio-review-10718841\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>\u003Cstrong>Pricing\u003C/strong>\u003C/p>\u003Cp>Klipfolio has quite a siloed pricing system. Here are the prices for Klips—the dashboards side of Klipfolio.\u003C/p>\u003Cp>Business plans, billed annually:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ecf8dadca3ccde67ec663924b93c9405b\">Base at $120/month for 3 dashboards\u003C/li>\u003Cli data-list-item-id=\"ec8264b4d07bec76762b01cf81dc67cdc\">Grow at $190 for 10\u003C/li>\u003Cli data-list-item-id=\"ec5299170a3426bd25f8da15d91498eca\">Team at $310 for 20\u003C/li>\u003Cli data-list-item-id=\"ed9e245af15756d1606244887eae023d9\">Team+ at $600 for 40\u003C/li>\u003C/ul>\u003Cp>Agency track:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"eecc22f9ff6d1ca87fff64b3122e16209\">Starter $160\u003C/li>\u003Cli data-list-item-id=\"ed93b003587deaaa8eafb664b982f7e3e\">Lite $240\u003C/li>\u003Cli data-list-item-id=\"eaeae031c381f38c156dcce652e660f2c\">Pro $440\u003C/li>\u003Cli data-list-item-id=\"e380b914e4fae205de9b3169d50a9301a\">Premier $900, with the White-Label Bundle included on Pro and above.\u003C/li>\u003C/ul>\u003Cp>Add-ons stack: extra dashboards at $8/month each, near-real-time refresh at $139, the White-Label Bundle at $299, and SSO at $49 on lower tiers.\u003C/p>\u003Cp>PowerMetrics is priced separately (billed annually):\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e17f5446bab30ffbdf9c1378c5534cd81\">Launch: $24/user/month starts at 2 users,. 50 metrics, 4 hour data refresh rate\u003C/li>\u003Cli data-list-item-id=\"ecd935815d9b643e75ae5d12ac525c028\">Professional: $35/user/month starts at 3 users, 200 metrics, and 1 hour data refresh rate\u003C/li>\u003Cli data-list-item-id=\"ec2105cd71ebc90409a779be0352c09e3\">Custom\u003C/li>\u003C/ul>\u003Cp>There are multiple add-ons available as well:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ed31247a36573fe2d43ab0685ca6c973e\">Data warehouse integration: $180/month billed annually\u003C/li>\u003Cli data-list-item-id=\"e7706cdc8d6d6245306e0660f184affbb\">Semantic layer integration: $180/month billed annually\u003C/li>\u003Cli data-list-item-id=\"ec5b5e3eb3316e44677fa7e1982805950\">Advanced analyses: $45/month billed annually\u003C/li>\u003Cli data-list-item-id=\"ec30f861288ecfd2826668db17896d8d0\">Custom domain: $99/month billed annually\u003C/li>\u003Cli data-list-item-id=\"e2fa76e613ad6139c0b46d5d8c5d032bf\">15-minute data refresh: $180/month billed annually\u003C/li>\u003C/ul>\u003Cp>\u003Ci>\u003Cstrong>Note: All of these add-ons and features for both Klips and PowerMetrics are available out-of-the-box in Whatagraph’s pricing (with a 30-minute data refresh rate), so you get one invoice, not a dozen.\u003C/strong>\u003C/i>\u003C/p>\u003Ch3>6. Funnel\u003C/h3>\u003Cp>\u003Cstrong>Category:\u003C/strong> ETL and data ingestion platform\u003C/p>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Teams building a marketing data warehouse, or feeding a BI tool they already own and like.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/funnel_hero_e260148ab4.png\" alt=\"funnel-hero.png\" width=\"2400\" height=\"1500\">\u003C/p>\u003Cp>Funnel collects your marketing data, cleans it up, and delivers it somewhere else. That's the job, and it does it as well as anyone.\u003C/p>\u003Cp>What it doesn't do is show the data to your client. Funnel is a pipe, and it's upfront about that. You buy it alongside Power BI, Tableau, a warehouse, or a reporting tool, not instead of one.\u003C/p>\u003Cp>We tested Funnel out recently and here’s our verdict.\u003C/p>\u003Cp>\u003Cstrong>1. Governed semantic layer underneath the AI.\u003C/strong> Funnel has a strong governed data layer and the transformation rules are more powerful than most tools here. You get platform-level rules rather than per-integration ones, value replacement on the fly, nested conditions, and both pre-blend and post-blend filtering.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Funnel_semantic_layer_99df315fd6.webp\" alt=\"Funnel semantic layer.webp\" width=\"2000\" height=\"1422\">\u003C/p>\u003Cp>However, building it is heavily technical and very engineering intensive. It’s perfect for data engineers who are already familiar with schemas but not for marketers.\u003C/p>\u003Cp>A \"data source\" in Funnel isn't an account or a property. It's one stored table, and you decide upfront exactly which dimensions, which metrics, and which time window go into it. Want new users broken down by hostname, page path, and page title? That's one data source. Want the same property by campaign and medium instead? That's the second one. A single GA4 property can turn into dozens of stored tables.\u003C/p>\u003Cp>The interface compounds it. Even with a data background, we got lost inside \u003Ca href=\"https://help.funnel.io/en/articles/12688586-getting-started-with-the-data-explorer\" target=\"_blank\" rel=\"noopener noreferrer\">Funnel’s Data Explorer\u003C/a> trying to work out why a chart wasn't loading. It works once you learn it, but learning it properly takes months.\u003C/p>\u003Cp>\u003Cstrong>2. Connector reliability.\u003C/strong> Funnel scores 4.5 across \u003Ca href=\"https://www.g2.com/products/funnel/reviews\" target=\"_blank\" rel=\"noopener noreferrer\">165 G2 reviews\u003C/a>, where extensive integrations and connector breadth are the most-praised themes. One reviewer who used to maintain their own API connections said they had to reconfigure or reconnect them several times a year, and Funnel took that job off them completely. Funnel has an entire development team working on the Facebook connector alone.\u003C/p>\u003Cp>There are caveats, however. Reviewers say connections still need babysitting, with one noting it takes real time to keep every source validated and stable.\u003C/p>\u003Cp>Others like \u003Ca href=\"https://www.linkedin.com/in/lindavbaal/\" target=\"_blank\" rel=\"noopener noreferrer\">Linda van Baal\u003C/a> from YourFellow agency faced slow load times and constant rate limits where a dashboard would take 15 minutes or more to load. She said:\u003C/p>\u003Cp>[quote color-variant=\"1\"]\u003Cbr>Whenever we wanted to see the data in one of the dashboards, we had to wait for at least 15 minutes. A lot of my colleagues were frustrated.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>This meant the team couldn't check campaign performance, spot issues, or answer client questions without significant delays. (\u003Ca href=\"https://whatagraph.com/case-studies/yourfellow\">See how they solved this here.\u003C/a>)\u003C/p>\u003Cp>\u003Cstrong>3. Scope of AI features.\u003C/strong> Narrow, and worth being precise about what it actually is. Funnel's AI is chat with your data. You can add instructions, skills, and documents as context, and then ask questions. It isn't agentic, and there are no agents doing work on a schedule or a trigger.\u003C/p>\u003Cp>The MCP is available on all plans at no extra credit cost, and it points Claude, ChatGPT, or Cursor at your Data Hub. So the assistant reads cleaned, standardized data instead of raw platform APIs, which is exactly the setup that fixes the accuracy problem from earlier in this article. What you don't get is an AI report builder, a summary writer, or client-facing chat.\u003C/p>\u003Cp>\u003Cstrong>4. Anomaly detection.\u003C/strong> Funnel watches your pipeline, not your campaigns. It'll tell you a source stopped syncing. It won't tell you a client's cost per lead doubled on Tuesday, and nothing here is monitoring accounts on your behalf.\u003C/p>\u003Cp>\u003Cstrong>5. Narrative quality.\u003C/strong> There's no summary writer, so this criterion is largely moot. Funnel has started shipping dashboards, but they're deliberately basic: simple charts, KPI tiles, and tables, with limited customization and templates that all look much the same. Think Looker Studio without the ceiling.\u003C/p>\u003Cp>\u003Cstrong>6. Scale across clients or locations.\u003C/strong> Two things work against agencies here. Portals let you share a space with a client, add some branding, and invite users. But your clients have to create Funnel accounts to get in, and there's no custom domain, so it isn't the white-labeled experience an agency client expects.\u003C/p>\u003Cp>Then there's the credit model. Because every stored table costs points, scaling means more tables, and more tables means more points. Add a client who needs three extra breakdowns and you've paid for three data sources, not one. Reviewers describe pausing unused sources to stay inside their allowance, which is exactly the kind of admin work you were trying to escape.\u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"efd3095d0d1ecf348da76221ae088be19\">Up to 590 data connectors on higher tiers\u003C/li>\u003Cli data-list-item-id=\"e8a2a36dac40d4ddb7bb49c94411febef\">Data Hub normalization and currency conversion\u003C/li>\u003Cli data-list-item-id=\"ea5b9c3b21c5dc54573be9441616441ab\">MCP on every plan at no extra credit cost\u003C/li>\u003Cli data-list-item-id=\"e755f41fc92ca380f38601a0948666e2d\">26+ export destinations including BigQuery and Snowflake\u003C/li>\u003Cli data-list-item-id=\"e5acff0e0aaecc81180d3c67f8ca2152c\">Native dashboards for internal use\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Customer reviews:\u003C/strong>\u003C/p>\u003Cp>“The free plan provides integration with nearly all major social media platforms and paid channels, including Facebook, Instagram, YouTube, and Google Ads.” \u003Ca href=\"https://www.g2.com/products/funnel/reviews/funnel-review-11977140\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“Easy to use and organize datas. The possibility to do custom views is great if you need to duplicate / manage / standardize your workflow.” \u003Ca href=\"https://www.g2.com/products/funnel/reviews/funnel-review-11530231\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a> (note: this review is from a Head of Programmatic persona)\u003C/p>\u003Cp>“At the core, they are just an ETL tool, so you can’t do much beyond that. They charge fees even for basic connectors like Power BI. Unfortunately, the software is not very scalable when connecting to different platforms.” \u003Ca href=\"https://www.g2.com/products/funnel/reviews/funnel-review-11583278\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>\u003Cstrong>Pricing\u003C/strong>\u003C/p>\u003Cp>Starter is $200/month and Business $800/month, with Enterprise custom. The headline is only part of it. Everything runs on Flexpoints, and every plan starts at a 400-point minimum, with connectors at 50 points, platform accounts at 5 each, dashboards at 150 each, visualization destinations at 150, and warehouse destinations at 300. Warehouse export is a Business-tier capability.\u003C/p>\u003Cp>Two more things to plan for: the free plan was removed in December 2025, and cancellation requires 30 days' notice. Pricing has moved three times in 2026, so check the live page. More in our \u003Ca href=\"https://whatagraph.com/reviews/funnel-io\">Funnel review\u003C/a> piece.\u003C/p>\u003Ch3>7. Improvado\u003C/h3>\u003Cp>\u003Cstrong>Category:\u003C/strong> ETL and data ingestion platform, enterprise end\u003C/p>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Enterprise marketing teams and large agencies with data ops capacity and high ad spend under management.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/improvado_hero_ee02b02b9c.png\" alt=\"improvado-hero.png\" width=\"2400\" height=\"1500\">\u003C/p>\u003Cp>Improvado sits at the enterprise end of the ingestion category and has moved fastest of anyone here on agentic features. In 2026 it's less a pipeline with a dashboard attached and more an agent that owns the pipeline.\u003C/p>\u003Cp>\u003Cstrong>1. Governed semantic layer underneath the AI.\u003C/strong> Improvado covers 500+ connectors and 46,000+ unified metrics, so most of the mapping work between platforms is already done before you start.\u003C/p>\u003Cp>The 2026 addition worth caring about is taxonomy. If your Google campaigns are named one way and your Meta campaigns another, the agent finds the right taxonomy table, tells you which dimensions to standardize, and sets up the join itself. Fixing campaign naming is the most tedious recurring job in paid media, and handing it to an agent is a genuinely good use of one.\u003C/p>\u003Cp>\u003Cstrong>2. Connector reliability.\u003C/strong> Improvado holds 4.4 out of 5 across \u003Ca href=\"https://www.g2.com/products/improvado-improvado/reviews\" target=\"_blank\" rel=\"noopener noreferrer\">80 G2 reviews\u003C/a>. That's the thinnest review base on this list, so treat the themes as directional rather than settled.\u003C/p>\u003Cp>The theme that does repeat is that they build connectors to order. Reviewers describe Improvado creating new API connections when a platform wasn't supported, offering development credits to fund it, and turning around a feasibility answer in a week or two.\u003C/p>\u003Cp>One reviewer managing hundreds of ad accounts credits bulk pipeline creation from templates, which is the difference between a week of setup and an afternoon. This is where Improvado separates from Funnel, which maintains its connectors superbly and won't build you a new one.\u003C/p>\u003Cp>The recurring complaint is visibility rather than uptime. Reviewers report inconsistent data delivery depending on the settings chosen, and more than one asks for better status reporting on extractions: a way to see when a pipeline last ran, by source and by account. Improvado has since shipped transformation statuses in response.\u003C/p>\u003Cp>\u003Cstrong>3. Comprehensive AI features.\u003C/strong> The broadest MCP implementation on this list. Connect any MCP-compatible client to Improvado through one connection and get 500+ connectors, 46,000+ unified metrics, and 84 tools, using OAuth with existing credentials, in under five minutes.\u003C/p>\u003Cp>It writes as well as reads, which is the answer to \"which AI reporting tools let an assistant actually create or edit a report\": skill commands to get, patch, add and validate widgets, plus copy dashboard, give the agent atomic operations.\u003C/p>\u003Cp>Their AI product lead also makes the point this whole article rests on: MCP doesn't remove the need for a governed data layer, it makes governance more important, because agents expose every naming gap and metric-definition conflict faster.\u003C/p>\u003Cp>\u003Cstrong>3. Anomaly detection.\u003C/strong> Agent-driven and fast. The agent detects budget pacing anomalies within 30 seconds and surfaces attribution discrepancies with root-cause analysis, for example when platform-reported conversions diverge from CRM closed-won data. One honest limit: it needs at least 30 days of history across connected sources to generate accurate benchmarks.\u003C/p>\u003Cp>\u003Cstrong>4. Narrative quality.\u003C/strong> The agent explains and diagnoses well, and AI Dashboards are pushing Improvado toward covering the visualization layer too. Client-facing branded marketing reports usually still land in a BI tool you bring yourself.\u003C/p>\u003Cp>\u003Cstrong>5. Scale across clients or locations.\u003C/strong> Scalability is the pitch, and it's priced and implemented like enterprise software. Expect a scoped rollout rather than a trial you start on a Tuesday.\u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e4ff84c0944b3e99b222f7d58ee9ff27b\">500+ connectors and 46,000+ unified metrics\u003C/li>\u003Cli data-list-item-id=\"e0bba9c175d647944b649fb4daa57c111\">MCP with 84 tools, read and write\u003C/li>\u003Cli data-list-item-id=\"eded0bbbc29fa8ecf86d6784101649ca7\">Agent-built taxonomy and naming conventions\u003C/li>\u003Cli data-list-item-id=\"eb2b0b02c9eb8eb3674ee64a6ee3515c8\">Pacing anomaly detection in near real time\u003C/li>\u003Cli data-list-item-id=\"e00e0644723732d83d6352483ef9c78a3\">AI Dashboards for in-platform data visualization\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Customer reviews:\u003C/strong>\u003C/p>\u003Cp>“We mostly used the Extract & Load features, and they were super easy to set up new data connections and monitor the quality. Getting onboarded was very easy, and also the on-going set up of new connections.” \u003Ca href=\"https://www.g2.com/products/improvado-improvado/reviews/improvado-review-11028625\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“The tool is only as good as your data if you have bad data then the reports won't be helpful. There is a heavy technology lift to get this tool going.” \u003Ca href=\"https://www.g2.com/products/improvado-improvado/reviews/improvado-review-11031362\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“It requires technical experience. I wouldn't say this is a tool marketers or beginners can use. You'll need a developer depending on what you are looking to do.” \u003Ca href=\"https://www.g2.com/products/improvado-improvado/reviews/improvado-review-11028164\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>\u003Cstrong>Pricing\u003C/strong>\u003C/p>\u003Cp>No public pricing. Third-party estimates circulate and they are estimates, not published rates, so treat them accordingly. Evaluation starts with a scoped conversation about connector count, data volume, and implementation timeline.\u003C/p>\u003Ch3>8. AgencyAnalytics\u003C/h3>\u003Cp>\u003Cstrong>Category:\u003C/strong> Simple reporting tool\u003C/p>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Agencies under roughly 30 clients running mostly Google Ads, Meta, and SEO work.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/agencyanalytics_hero_b825ebcc8b.png\" alt=\"agencyanalytics-hero.png\" width=\"2400\" height=\"1500\">\u003C/p>\u003Cp>AgencyAnalytics is the most straightforward platform on this list, and in 2026 it has the cleanest packaging of anyone here. In May 2026 it collapsed its tier ladder into two options, Core and Enterprise, removing the feature gating that defined the previous structure.\u003C/p>\u003Cp>We ran a trial recently for AgencyAnalytics and here’s some juicy tea.\u003C/p>\u003Cp>\u003Cstrong>1. Governed semantic layer underneath the AI.\u003C/strong> The weakest of all other tools here, and it's structural rather than a missing feature.\u003C/p>\u003Cp>Custom metrics and dimensions do exist, and they work fine. You name the metric, pick whether it's currency, a percentage, or a decimal, write the formula, and set whether an increase counts as good or bad.\u003C/p>\u003Cp>The catch is where that definition lives. Data is organized client by client, so blended ROAS gets built inside each client's setup rather than defined once and inherited everywhere. Twenty clients means building it twenty times, and keeping twenty copies in sync. Views, added in May 2026, generates AI cross-channel tables inside a report, which is per report rather than per agency.\u003C/p>\u003Cp>We also couldn't find warehouse transfer or a stored data layer. Reports appear to query sources directly, which is fine for a client running three integrations and starts showing up as loading time for a client running thirty.\u003C/p>\u003Cp>Core includes all 85+ integrations, with up to 10 accounts per client where the platform supports it.\u003C/p>\u003Cp>\u003Cstrong>2.\u003C/strong> \u003Cstrong>Connector reliability.\u003C/strong> This is the most split criterion in the article. AgencyAnalytics holds the highest rating on this list, \u003Ca href=\"https://www.g2.com/products/agencyanalytics/reviews\" target=\"_blank\" rel=\"noopener noreferrer\">4.7 across 459 G2 reviews\u003C/a>, and integration breadth is one of the most-praised things about it, with 35 reviewers calling out how well the integrations work and how little setup they need.\u003C/p>\u003Cp>Interestingly, integration problems are also the single most common complaint. They show up in 25 reviews, with connection issues in 10 more and connectivity problems in another 7. One agency lead puts it bluntly: \"The integrations drop out all the time.\"\u003C/p>\u003Cp>Others describe duplicate data and widgets that don't match the numbers in the native platform, which turns into explaining to a client why your Google Ads figure and theirs disagree.\u003C/p>\u003Cp>\u003Cstrong>3. Comprehensive AI features.\u003C/strong> Better packaged than most. The published Core plan includes AI insights and analysis, goals, alerts and anomaly detection, benchmarks and forecasting, API access, white-label branding, custom domain and email, unlimited staff and client users, and MCP access for ChatGPT and Claude. No AI upsell tier at all, which is worth saying plainly given how much of this list gates AI behind a higher plan.\u003C/p>\u003Cp>You can connect Claude Desktop or ChatGPT to your workspace, query conversationally, and have the AI draft monthly report narratives.\u003C/p>\u003Cp>\u003Cstrong>4. Anomaly detection.\u003C/strong> Included, and practical. AgencyAnalytics' \u003Ca href=\"https://agencyanalytics.com/features/anomaly-detection\" target=\"_blank\" rel=\"noopener noreferrer\">anomaly detection\u003C/a> annotates your charts wherever a metric deviates from its expected trend, and you toggle it on inside a dashboard. So it's something you see when you look, not something that taps you on the shoulder.\u003C/p>\u003Cp class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\" data-sourcepos=\"607:1-607:313;51303-51615\">The push side is a separate feature. Metric Alerts fires when a metric crosses a threshold you set, which means you define what wrong looks like in advance rather than letting the system learn it.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Agencyanalytics_anomaly_detection_df7f33603e.avif\" alt=\"Agencyanalytics anomaly detection.avif\" width=\"null\" height=\"null\">\u003C/p>\u003Cp>\u003Cstrong>5. Narrative quality.\u003C/strong> Decent and improving. Scorecards roll multiple goals into one client-facing performance card that replaces the executive summary slide most agencies were copy-pasting each month, and annotations attach context to specific data points. These are working client reports, not infographics.\u003C/p>\u003Cp>\u003Cstrong>6. Scale across clients or locations.\u003C/strong> The per-client model is the whole story. It's predictable and it compounds: at $20 per client per month, 20 clients is $400/month and 50 clients is $1,000/month, with everything included.\u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ee17e5ee4b4dfb003f63c507d52098470\">Every feature on one plan, no AI tier\u003C/li>\u003Cli data-list-item-id=\"e39cc75f8978ca64d2d575a2babf82527\">Anomaly detection on traffic, conversions, and spend\u003C/li>\u003Cli data-list-item-id=\"eff7a28f03777aa035db6545826dac144\">MCP access for Claude and ChatGPT\u003C/li>\u003Cli data-list-item-id=\"e78e0c60fca00a350751a4eaba671730f\">White-label plus custom domain and email\u003C/li>\u003Cli data-list-item-id=\"ec2139a56d0ce17b75bfc05e42610272a\">Unlimited automated reporting and report templates per client\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Customer reviews:\u003C/strong>\u003C/p>\u003Cp>“I like that AgencyAnalytics lets me customize every report and widget. It pulls in a custom dashboard with all the integrations I need from multiple platforms.” \u003Ca href=\"https://www.g2.com/products/agencyanalytics/reviews/agencyanalytics-review-13211580\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“I also love the wide range of SEO integrations. Having data from tools like Google Search Console and other SEO platforms all in one place makes it simple to understand organic performance without jumping between multiple dashboards. The reports are clean, visual, and easy for both marketers and clients to understand.” \u003Ca href=\"https://www.g2.com/products/agencyanalytics/reviews/agencyanalytics-review-13032470\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“I wish there was a way to combine or consolidate data from multiple data sources into a single page--for example: a summary of KPIs across key channels on a single page (pulling data direct from respective sources and not from analytics). To my knowledge, only one data source can be linked per page. I also wish there was functionality that would allow you to group campaigns by theme or tactic and create charts or tables that display that data by theme or tactic.” \u003Ca href=\"https://www.g2.com/products/agencyanalytics/reviews/agencyanalytics-review-12950396\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>\u003Cstrong>Pricing\u003C/strong>\u003C/p>\u003Cp>Core is $20 per client per month billed annually, or $25 billed monthly, with unlimited reports, dashboards, and data sources per client, and Enterprise available for agencies managing 25+ clients with volume discounts, database connectors, and priority support.\u003C/p>\u003Cp>Rank Tracker is a separate $41.67/month per 500 keywords when billed annually.\u003C/p>\u003Cp>There's a 14-day trial with no credit card. Side-by-side detail on our \u003Ca href=\"https://whatagraph.com/blog/articles/agencyanalytics-alternatives-and-competitors\">AgencyAnalytics alternatives\u003C/a> page.\u003C/p>\u003Ch3>9. Databox\u003C/h3>\u003Cp>\u003Cstrong>Category:\u003C/strong> All-in-one platform, dashboard-first\u003C/p>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Teams that want the lowest paid entry point and can work within monthly AI credit limits.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/databox_hero_e0cf4ccf38.png\" alt=\"databox-hero.png\" width=\"2400\" height=\"1500\">\u003C/p>\u003Cp>Databox is metric-first rather than report-first. You assemble live dashboards from a library of pre-built metrics and report templates, then layer goals, forecasting, and AI analysis on top. It runs a separate agency track alongside its business plans, which matters more than it sounds.\u003C/p>\u003Cp>\u003Cstrong>1. Governed data and connector reliability.\u003C/strong> Middle of the pack, and tier-dependent. Datasets, where you prepare and model your own data, arrives at Growth. Database connections to BigQuery, MySQL, PostgreSQL, Snowflake, and Azure SQL are also Growth and above. Below that you work with pre-built metrics from Google Analytics, ad platforms, and CRMs as they come.\u003C/p>\u003Cp>\u003Cstrong>2. Connector reliability.\u003C/strong> Databox connects to 130+ tools and sits at 4.4 across \u003Ca href=\"https://www.g2.com/products/databox-databox/reviews\" target=\"_blank\" rel=\"noopener noreferrer\">194 G2 reviews\u003C/a>, with seamless integrations among the most-praised themes. One 2026 reviewer flags something no other platform here offers: a single view that alerts you when connections break, so you fix every broken source in one pass instead of discovering them client by client. For an agency sending reports on the 1st, that's the right feature to have built.\u003C/p>\u003Cp>The complaints cluster in two places. Coverage gaps come up repeatedly, with reviewers naming specific tools they needed and didn't get. And older reviews describe sources quietly dropping their connection, sometimes losing historical data when it happened.\u003C/p>\u003Cp>\u003Cstrong>3. Comprehensive AI features.\u003C/strong> Good capability, metered. \u003Ca href=\"https://nextlevellearninghub.com/databox-ai-analyst-genie/\" target=\"_blank\" rel=\"noopener noreferrer\">AI Analyst\u003C/a>, previously called Genie, builds metrics, dashboards, and datasets on request, analyzes trends, compares time periods, identifies anomalies, and generates AI performance summaries, and the MCP server connects Databox to ChatGPT or Claude to access trusted metrics and trigger actions.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:1510/1081;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/databox_ai_features_140658664d.png\" alt=\"databox ai features.png\" width=\"1510\" height=\"1081\">\u003C/figure>\u003Cp>The mechanic to understand: the AI analyst and the MCP server share one monthly credit pool, 500 credits on Agency Starter, 1,500 on Pro, 4,000 on Growth, and 10,000 on Premium, and when credits run out the AI pauses until the next month with no overage on your invoice. Predictable bill, capped usage.\u003C/p>\u003Cp>\u003Cstrong>4. Anomaly detection.\u003C/strong> Present, and gated. Anomaly detection sits on the Growth plan alongside datasets and forecasting, with alerts pushed to Slack.\u003C/p>\u003Cp>\u003Cstrong>5. Narrative quality.\u003C/strong> Competent for internal business reports. AI performance summaries and forecast modeling require Growth or above. Being straight about it: the client-facing explanation is still the agency's job here, as it is with most of this list.\u003C/p>\u003Cp>\u003Cstrong>6. Scale across clients or locations.\u003C/strong> The agency track is the reason to look. It mirrors business pricing but charges $2.40 per additional data source per month versus $5.60 on the business track, which compounds fast across a roster. Sub-accounts cover multi-location structures. Watch the add-on stack, since white-labelling is priced separately.\u003C/p>\u003Cp>Templates are where it gets qualified, and the detail matters if you run a lot of clients. You can edit a template and push that change out to all of them, but it doesn't happen on its own. That same manager's top feature request is for template edits to apply to existing clients automatically.\u003C/p>\u003Cp>Across 40 clients, that's a step you repeat every time you improve the template. Separately, reviewers on lower tiers hit caps on how many databoards and visuals they can build.\u003C/p>\u003Cp>Watch the add-ons too: white-labelling is priced on its own.\u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"eba6a99bb9b266ad2519d6e84032460c7\">Separate agency track with cheaper source overages\u003C/li>\u003Cli data-list-item-id=\"e4137e71bef5e943b4a2f9b03235f9237\">AI Analyst that builds metrics and dashboards on request\u003C/li>\u003Cli data-list-item-id=\"e4b64f2b287626be398516de4fec5c75d\">MCP server that can trigger actions, not just read\u003C/li>\u003Cli data-list-item-id=\"ee3f726762343bcba433676e465e61ca5\">Hundreds of pre-built metrics and report templates\u003C/li>\u003Cli data-list-item-id=\"efd0b398e695a13cfb9c479babe952fc5\">Sub-accounts for multi-location reporting\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Customer reviews:\u003C/strong>\u003C/p>\u003Cp>“Databox has transformed how we report both internally and to clients. The AI summary feature is particularly impressive. It keeps our reports insightful and always up to date. There’s a great selection of built-in metrics, and creating custom ones is super easy.” \u003Ca href=\"https://www.g2.com/products/databox-databox/reviews/databox-review-11137623\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“All data sources in one place makes it easy to access critical business metrics . No more searching for data in different platforms like your CRM, Google Analytics, or shopping cart.” \u003Ca href=\"https://www.g2.com/products/databox-databox/reviews/databox-review-11583346\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“I wish there was a way to when you change the template it applies automatically to your current clients, that would save a ton of time. There's also some integrations that are not available currently with some platforms like BrightLocal and that is something we use a lot. More integrations, AI insights, and being able to make changes a bit more faster and easier for multiple accounts.” \u003Ca href=\"https://www.g2.com/products/databox-databox/reviews/databox-review-12676478\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>\u003Cstrong>Pricing\u003C/strong>\u003C/p>\u003Cp>Agency track, billed annually: Starter at $79/month, Pro at $159, Growth at $399, and Premium at $799, with Starter, Pro, and Growth including 3 data sources and Premium including 50. Additional sources are $2.40/month each on this track.\u003C/p>\u003Cp>White-labelling is an add-on, and a 15-client agency running roughly 60 sources lands near $550/month all in on Growth. New accounts start on a 14-day Growth trial.\u003C/p>\u003Cp>Databox's free tier has moved in 2026 and sources disagree on its current status, so verify before citing it. Full agency-track math on our \u003Ca href=\"https://whatagraph.com/blog/articles/databox-alternatives-and-competitors\">Databox alternatives\u003C/a> page.\u003C/p>\u003Ch2>Which AI reporting tool is right for you?\u003C/h2>\u003Cp>✅ You run 30+ clients or locations and need metrics defined once → Whatagraph\u003C/p>\u003Cp>✅ You want agents watching accounts instead of dashboards you check → NinjaCat\u003C/p>\u003Cp>✅ You're under 30 clients on Google, Meta, and SEO → AgencyAnalytics, or Databox if budget is the binding constraint\u003C/p>\u003Cp>✅ You already own Power BI or Tableau and just need clean data in it → Funnel, or Improvado at enterprise scale\u003C/p>\u003Cp>✅ Your company runs Microsoft, or you have a data engineer spare → Power BI, or Tableau for visualization depth\u003C/p>\u003Cp>✅ You want one certified metric definition the whole business pulls from → Klipfolio PowerMetrics\u003C/p>\u003Cp>Whichever way you go, evaluate the data layer before the AI features. Every tool here has AI. Not every tool feeds it numbers you'd put in front of a client.\u003C/p>","2025-02-19T22:06:09.694Z","2026-08-14T16:11:15.594Z","2026-08-14T16:11:15.757Z","2026-08-13",{"id":849,"name":850,"alternativeText":851,"caption":78,"width":561,"height":562,"formats":1012,"hash":858,"ext":110,"mime":111,"size":859,"url":860,"previewUrl":78,"provider":95,"provider_metadata":78,"createdAt":861,"updatedAt":862,"documentId":863,"publishedAt":98,"focalPoint":78},{"thumbnail":1013},{"ext":110,"url":854,"hash":855,"mime":111,"name":856,"path":78,"size":857,"width":570,"height":571},{"id":986,"name":987,"about":988,"email":989,"createdAt":990,"updatedAt":991,"publishedAt":992,"slug":993,"linkedin_url":994,"documentId":995},{"id":1016,"metaTitle":846,"metaDescription":1017,"addNoIndex":21,"canonicalURL":78},2998,"We tested 9 AI reporting tools on data accuracy, connectors, and scale across clients. Compare pricing, top features, and customer reviews.",[],{"id":63,"title":579,"slug":580,"subheading":581,"createdAt":582,"updatedAt":583,"publishedAt":584,"documentId":585},{"id":1021,"description":1022,"title":78},1005,"Have more questions? We answered them here. ",{"id":1024,"title":1025,"slug":1026,"summary":1027,"body":1028,"read_time":42,"createdAt":1029,"updatedAt":1030,"publishedAt":1031,"errors":78,"table_of_contents":15,"dateReorder":1032,"documentId":1033,"cover_image":1034,"banners":78,"author":1050,"seo":1051,"tags":1054,"article_category":1055,"competitor":78,"FAQ":1056},2988,"We tested the 11 Best AgencyAnalytics Alternatives in 2026","agencyanalytics-alternatives-and-competitors","\u003Cp style=\"margin-left:0px;\">\u003Cspan style=\"color:rgb(23,30,38);\">AgencyAnalytics is a great marketing reporting tool, but users say the platform can be unstable, rigid, and limited.\u003C/span>\u003C/p>\u003Cp style=\"margin-left:0px;\">\u003Cspan style=\"color:rgb(23,30,38);\">As of 2026, we've also heard multiple complaints around AgencyAnalytics' StackAdapt connector issues and pricing jumps.\u003C/span>\u003C/p>\u003Cp style=\"margin-left:0px;\">\u003Cspan style=\"color:rgb(23,30,38);\">To help you find the best AgencyAnalytics alternative, I did three things:\u003C/span>\u003C/p>\u003Col>\u003Cli>Spoke with our customers who previously used AgencyAnalytics.\u003C/li>\u003Cli>Scoured online reviews and community forums to find the best alternatives. \u003C/li>\u003Cli>Tested each tool. \u003C/li>\u003C/ol>","\u003Cp style=\"margin-left:0px;\">Full disclosure: one of these tools is ours. But that’s because we genuinely believe Whatagraph reduces the pains of AgencyAnalytics. \u003C/p>\u003Cp style=\"margin-left:0px;\">But we’re also not here to bash our competitors. We researched them thoroughly (and even tried them out) so you can really understand what they’re great at and if they’re best for you.\u003C/p>\u003Cp style=\"margin-left:0px;\">By the end of the article, we hope you’ll find an AgencyAnalytics alternative that fits your needs, whether it’s us or not. \u003C/p>\u003Ch2>11 best AgencyAnalytics alternatives and competitors in 2026\u003C/h2>\u003Cp>In a nutshell, here are the 11 best AgencyAnalytics alternatives I’ll review in this article:\u003C/p>\u003Col>\u003Cli data-list-item-id=\"e751e6504d041104fe871b6a8fd8a3d38\">Whatagraph\u003C/li>\u003Cli data-list-item-id=\"e85d5d3362c05934753229235d461faed\">Klipfolio\u003C/li>\u003Cli data-list-item-id=\"ec700227c453e02143c121730c520d388\">Tableau\u003C/li>\u003Cli data-list-item-id=\"eb5ba6bc11bb3658550b278874f69aff9\">Looker Studio\u003C/li>\u003Cli data-list-item-id=\"e0b54731ec82eda81a5dc6f7452e3f0d1\">Geckoboard\u003C/li>\u003Cli data-list-item-id=\"e1128d0d41295c1eabc98451b63d2302d\">DashThis\u003C/li>\u003Cli data-list-item-id=\"e9d3286ad32b1a6162b97a72f21742939\">Grow\u003C/li>\u003Cli data-list-item-id=\"ea3a037c5e34dc38a86b6972d74074b3c\">NinjaCat\u003C/li>\u003Cli data-list-item-id=\"e7637d3f2207f4dc6cff2ce8a4deb87be\">Cyfe\u003C/li>\u003Cli data-list-item-id=\"edcdcbf99a5b1c081da66ec65a09148a6\">Databox\u003C/li>\u003Cli data-list-item-id=\"eb50839c5edf0c8be3d2c1d6e7536efd0\">Tapclicks\u003C/li>\u003C/ol>\u003Cfigure class=\"table\">\u003Ctable>\u003Ctbody>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">\u003Cp style=\"text-align:center;\">\u003Cstrong>Tool\u003C/strong>\u003C/p>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">\u003Cp style=\"text-align:center;\">\u003Cstrong>Best for\u003C/strong>\u003C/p>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">\u003Cp style=\"text-align:center;\">\u003Cstrong>Pricing\u003C/strong>\u003C/p>\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">\u003Cstrong>Whatagraph\u003C/strong>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Mid-size agencies and multi-location operators that need a governed data foundation, AI reporting, and scale without adding headcount\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">14-day free trial\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">\u003Cstrong>Geckoboard\u003C/strong>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Teams that need live KPI dashboards on office TVs or shared links\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">From $119/mo (billed annually)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">\u003Cstrong>Klipfolio\u003C/strong>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Data teams that need formula-level control and centralized metric governance\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">From $120/mo (billed annually)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">\u003Cstrong>Tableau\u003C/strong>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Enterprise data teams with complex, multi-source analytics and visualization needs\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">From $15/user/mo (billed annually)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">\u003Cstrong>Looker Studio\u003C/strong>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Freelancers and Google-centric marketing teams on a tight budget\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Free; Pro at $9/user/project/mo\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">\u003Cstrong>DashThis\u003C/strong>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Small agencies and freelancers who need fast, template-based client reports\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">From $44/mo (billed annually)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">\u003Cstrong>Grow\u003C/strong>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Operations and data teams that need a no-code BI platform with built-in data storage\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Custom, contact sales\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">\u003Cstrong>NinjaCat\u003C/strong>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Large agencies and enterprise brands with dedicated data teams\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">From ~$1,500/mo (enterprise contracts)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">\u003Cstrong>Cyfe\u003C/strong>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Small businesses and boutique agencies needing an affordable all-in-one monitoring hub\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">From $29/mo\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">\u003Cstrong>Databox\u003C/strong>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Mid-sized marketing teams that want AI-assisted analysis, goal tracking, and benchmarking\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Free plan available; from $79/mo agency / $159/mo business (billed annually)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">\u003Cstrong>TapClicks\u003C/strong>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Large agencies needing a full marketing operations platform beyond just reporting\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Custom, from ~$599/mo\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>Let’s dive into each of these tools.\u003C/p>\u003Ch2>What to look for in an AgencyAnalytics alternative\u003C/h2>\u003Cp>Before you evaluate tools, it helps to know what actually matters at agency scale. Here are the five criteria that separate good reporting platforms from great ones.\u003C/p>\u003Ch3>1. Connector stability \u003C/h3>\u003Cp>A reporting tool is only as reliable as its integrations. If your data sources, Google Ads, Meta, LinkedIn, TikTok, HubSpot, and CRM platforms, disconnect without warning, you're spending time debugging instead of reporting. Look for fully managed connectors with high uptime and a team that fixes integration issues directly, not through a third-party data pipeline like Supermetrics.\u003C/p>\u003Ch3>2. Data organization capabilities\u003C/h3>\u003Cp>Cross-channel reporting means nothing if you can't blend data sources, create custom metrics, and define what your KPIs actually mean. The ability to build custom dimensions, aggregations, and formulas separates platforms built for real marketing data from platforms built for simple dashboards.\u003C/p>\u003Ch3>3. AI-powered reporting\u003C/h3>\u003Cp>\u003Ca href=\"https://www.surveymonkey.com/learn/marketing/ai-marketing-statistics/\" target=\"_blank\" rel=\"noopener noreferrer\">SurveyMonkey reports\u003C/a> that 88% of marketers use AI in their daily operations as of 2025. The best alternatives now offer AI features that go beyond chatbots: automated report generation from prompts, performance summaries that write themselves, anomaly detection, and workflows that connect your reporting tool to Claude or ChatGPT via MCP.\u003C/p>\u003Ch3>4. Scalable client reporting\u003C/h3>\u003Cp>For agencies managing dozens of clients, linked templates are non-negotiable. Edit one master report and changes cascade across every client report instantly. Without that, every design update means opening 50 dashboards individually.\u003C/p>\u003Ch3>5. White-label and sharing options\u003C/h3>\u003Cp>Clients should see your brand, not the tool's. Custom domain, branded report URLs, client-facing filters, scheduled PDF and email delivery, and live link sharing are table stakes. Data warehouse exports to BigQuery or Snowflake are increasingly important for agencies with data-mature clients.\u003C/p>\u003Cp>Here are 11 tools that fit these criteria. \u003C/p>\u003Ch2>1. Whatagraph\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Mid-size marketing agencies and multi-location operators running dozens of locations who need marketing teams to self-serve data without a data team\u003C/p>\u003Cfigure class=\"media\">\u003Cdiv data-oembed-url=\"https://youtu.be/HedKBWSQTqI?si=6z-Bz4z_jGyrrYak\">\u003Cdiv style=\"position: relative; padding-bottom: 100%; height: 0; padding-bottom: 56.2493%;\">\u003Ciframe src=\"https://www.youtube.com/embed/HedKBWSQTqI\" style=\"position: absolute; width: 100%; height: 100%; top: 0; left: 0;\" frameborder=\"0\" allow=\"autoplay; encrypted-media\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen=\"\">\u003C/iframe>\u003C/div>\u003C/div>\u003C/figure>\u003Cp> \u003C/p>\u003Cp>If you’re switching from AgencyAnalytics because sources kept disconnecting, reports felt rigid, or pricing jumped without warning, Whatagraph is built for exactly that problem.\u003C/p>\u003Cp>\u003Ca href=\"https://whatagraph.com\">Whatagraph\u003C/a> is a marketing intelligence platform built for agencies reporting at scale. Everything runs on one governed data foundation: you define each metric once, and the same numbers power your client reports, dashboards, and AI tools.\u003C/p>\u003Cp>Here's how it works:\u003C/p>\u003Cp>\u003Cstrong>1. Connect:\u003C/strong> Plug into 60+ marketing platforms via fully managed native connectors. \u003C/p>\u003Cfigure class=\"image\">\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Connect_data_sources_8e2e01d976.png\" alt=\"Connect data sources - Interface showing icons for various data source integrations.\">\u003C/figure>\u003Cp> \u003C/p>\u003Cp>Unlike AgencyAnalytics, where users report sources disconnecting due to bandwidth issues and platforms like TikTok and X causing data discrepancies, Whatagraph's integrations are maintained by our Product engineers, so bugs get resolved without a third-party company involved. \u003C/p>\u003Cp>Whatagraph has averaged 99.95% uptime over the past six months, and even reports with heavy widgets and multiple tabs load in under 10 seconds.\u003C/p>\u003Cp>Tanja Keglić, Performance Marketing Manager at \u003Ca href=\"https://www.achtzehngrad.at/en\" target=\"_blank\" rel=\"noopener noreferrer\">Achtzehn Grad\u003C/a> agency says:\u003C/p>\u003Cp>[quote color-variant=\"1\"]\u003Cbr>We don’t have any connection issues on Whatagraph at all. We just connected the platforms once, and that was it. Whatagraph is very, very quick when loading the data.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>\u003Cstrong>2. Organize and normalize your data:\u003C/strong> Build custom blends, metrics, and dimensions, or let \u003Ca href=\"https://whatagraph.com/features/whatagraph-iq\">Whatagraph IQ\u003C/a> generate them from a single prompt. Define your metrics, blends, custom dimensions, and aggregation rules once, and they propagate to every report, dashboard, and downstream system automatically.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/IQ_dimensions_ea7aca60c3.png\" alt=\"IQ Dimensions - An interface asks users to describe how to group data from Facebook Ads.\">\u003C/figure>\u003Cp>Whatagraph’s \u003Ca href=\"https://help.whatagraph.com/en/articles/6389747-how-to-create-a-source-filter-and-a-source-variant\">Source Filter\u003C/a> is worth calling out specifically: instead of applying the same filter to 20 individual widgets, you apply it once at the source level and it cascades to every widget instantly.\u003C/p>\u003Cp>\u003Cstrong>3. Analyze your data with Claude or ChatGPT through Whatagraph MCP: \u003C/strong>Whatagraph MCP connects Claude or ChatGPT directly to your governed data layer. Your custom metrics, blends, dimensions, and cross-channel definitions are already built in.\u003C/p>\u003Cp>Ask \"what's blended ROAS across all clients this month?\" and the answer matches what's in your client reports, because it comes from the same place. The number your AI assistant gives you on Monday means the same thing it means on Friday. \u003Ca href=\"https://help.whatagraph.com/en/articles/14643388-connect-whatagraph-to-your-ai-assistant-with-mcp\">See how to connect here.\u003C/a>\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Whatagraph_MCP_1e34080fac.gif\" alt=\"Whatagraph MCP.gif\">\u003C/p>\u003Cp>\u003Cstrong>4. Report with AI:\u003C/strong> Fire off a text prompt and Whatagraph IQ builds a complete, branded report in seconds. Or use 80+ pre-made report templates if you prefer more control. Try it out here:\u003C/p>\u003Cp><div style=\"position: relative; padding-bottom:calc(52.361111111111114% + 47px); height: 0;\"><iframe id=\"xrg314gc1k\" src=\"https://app.guideflow.com/embed/xrg314gc1k\" width=\"100%\" height=\"100%\" style=\"overflow:hidden;position:absolute;border:none\" scrolling=\"no\" allow=\"clipboard-read; clipboard-write\" webkitallowfullscreen mozallowfullscreen allowfullscreen allowtransparency=\"true\"></iframe><script src=\"https://app.guideflow.com/assets/opt.js\" data-iframe-id=\"xrg314gc1k\"></script></div>\u003C/p>\u003Cp>IQ also writes performance summaries directly inside your reports: choose from Summary, Wins, Recommendations, Issues, or a custom prompt, and IQ reads your marketing data and writes the insights. You can still edit everything with your own business context.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/AI_that_writes_the_insights_for_you_0fdc7e0495.png\" alt=\"AI That Writes The Insights For You - Edit widget showing options to generate with AI.\">\u003C/figure>\u003Cp>\u003Cstrong>5. Customize instantly:\u003C/strong> Upload a client's logo or brand screenshot and IQ pulls the color palette automatically. Reports live on your own custom domain. Clients never see Whatagraph branding.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/White_label_reporting_dashboards_built_in_seconds_e6f1ec96f3.png\" alt=\"White Label Reporting Dashboards - A dashboard showing revenue, conversions, and campaign performance.\">\u003C/figure>\u003Cp>\u003Cstrong>6. Automate reporting:\u003C/strong> Set scheduled reports on autopilot. Send live links, PDFs, or scheduled emails. Export to Google Sheets, Excel, and CSV. Or sync data directly to BigQuery and Looker Studio. Every report can be automated to arrive in a client's inbox without anyone touching it.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Automated_reporting_that_runs_itself_cea670f58b.png\" alt=\"Automated Reporting That Runs Itself - A configuration panel with drop-down menus for scheduling a monthly performance report.\">\u003C/figure>\u003Cp>\u003Cstrong>7. Scale without adding headcount: \u003C/strong>Manage dozens of clients with Spaces, Overviews, and client-facing filters. With Custom Tags, label sources by region, account manager, or industry and pull up \"all Tier 1 accounts\" or \"accounts managed by John\" in one view. \u003C/p>\u003Cfigure class=\"image\">\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Overview_1d2317f09d.png\" alt=\"Overview - Table with campaign data showing clients, costs, impressions, and spend.\">\u003C/figure>\u003Cp>With linked templates, edit one master report and changes cascade across every client report at once. That's the functionality agencies growing past 20 clients need most.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Scales_with_your_agency_5d47fa5ec7.png\" alt=\"Linked - An interface for an ad campaign management platform.\">\u003Cbr>Thanks to these powerful AI features and an easy-to-use interface, agencies like Maatwerk Online are \u003Ca href=\"https://whatagraph.com/case-studies/maatwerk-online\">saving 100 hours a month on reporting\u003C/a>. Here’s what Lars Maat, Co-Founder, says:\u003C/p>\u003Cp>[quote color-variant=\"2\"]\u003Cbr>Whatagraph’s AI saves time and energy for our marketing specialists. And the hours we’re saving is just pure profit. We now have the time to focus on more strategic things that help both our agency and our clients grow.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>\u003Cstrong>Pro tip: \u003C/strong>If you're frustrated with StackAdapt connector issues on AgencyAnalytics, Whatagraph’s direct StackAdapt integration is designed to be \"\u003Ca href=\"https://wg.canny.io/changelog/auto-fix-self-healing-widgets-powered-by-whatagraph-iq\">self-healing\u003C/a>,\" meaning they automatically adjust to platform updates without breaking your reports. \u003C/p>\u003Cp>\u003Ca href=\"https://live.whatagraph.com/auth/register\" target=\"_blank\" rel=\"noopener noreferrer\">Start a 14-day free with Whatagraph today.\u003C/a>\u003C/p>\u003Cp>\u003Cstrong>Whatagraph Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>“To me, Whatagraph is like the Tesla or Mercedes of digital analytics tools, their clean and simple way to present complex marketing data. I highly recommend it to anyone working with marketing analytics who values efficiency and clarity in their reporting.”\u003Ci> (\u003C/i>\u003Ca href=\"https://www.g2.com/products/whatagraph/reviews/whatagraph-review-9795186\">\u003Ci>Source\u003C/i>\u003C/a>\u003Ci>)\u003C/i>\u003C/p>\u003Cp>“Whatagraph has a simple user interface that is easy to navigate even for those who don't have analytical skills.” \u003Ci>(\u003C/i>\u003Ca href=\"https://www.g2.com/products/whatagraph/reviews/whatagraph-review-8605558\">\u003Ci>Source\u003C/i>\u003C/a>\u003Ci>)\u003C/i>\u003C/p>\u003Cp>“What I like best about Whatagraph is having the ability to create reports fast and easy. No more spreadsheets to do reports, they have a great variety of templates.”\u003Ci> (\u003C/i>\u003Ca href=\"https://www.g2.com/products/whatagraph/reviews/whatagraph-review-8142673\">\u003Ci>Source\u003C/i>\u003C/a>\u003Ci>)\u003C/i>\u003C/p>\u003Cp>\u003Cstrong>Whatagraph pricing 2026\u003C/strong>\u003C/p>\u003Cp>Whatagraph's pricing scales with your agency. Check out \u003Ca href=\"https://whatagraph.com/pricing\">our pricing page\u003C/a> for the most updated information.\u003C/p>\u003Ch2>2. Geckoboard\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Small to large businesses in customer service, sales, and operations that need live KPI visibility on office TVs or shared links.\u003C/p>\u003Cfigure class=\"media\">\u003Cdiv data-oembed-url=\"https://www.youtube.com/watch?v=_dW8vkjvzaI\">\u003Cdiv style=\"position: relative; padding-bottom: 100%; height: 0; padding-bottom: 56.2493%;\">\u003Ciframe src=\"https://www.youtube.com/embed/_dW8vkjvzaI\" style=\"position: absolute; width: 100%; height: 100%; top: 0; left: 0;\" frameborder=\"0\" allow=\"autoplay; encrypted-media\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen=\"\">\u003C/iframe>\u003C/div>\u003C/div>\u003C/figure>\u003Cp> \u003C/p>\u003Cp>Geckoboard is built around one core use case: getting live data onto a screen your whole team can see. It connects to 90+ data sources, lets you build dashboards with a drag-and-drop interface, and pairs directly with a Smart TV or PC stick for wall display. For remote or hybrid marketing teams, dashboards share via links, email snapshots, or automatic Slack and Microsoft Teams updates.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Geckoboard_inventory_dashboard_f0da892c2d.png\" alt=\"Geckoboard inventory dashboard - Whatagraph\">\u003C/figure>\u003Cp>The platform targets operations and customer service teams more than marketing agencies. In April 2026, Geckoboard shipped stacked column charts, the first new visualization type in several years, which lets you show total values and their breakdown in a single widget without building two separate charts.\u003C/p>\u003Cp>KPI notifications are a standout feature: when a metric crosses a threshold, Geckoboard pushes an alert via Slack. For office teams that live on TV dashboards, this is genuinely useful. Dashboards refresh as frequently as every minute on higher plans.\u003C/p>\u003Cp>I tried out the free Trial and it was pretty easy to get started. All you needed to do was connect your data sources and choose the widgets you’d like to visualize. \u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Geckoboard_free_trial_24862f85be.png\" alt=\"Geckoboard dashboard interface - Whatagraph\">But one downside is that you can’t drag-and-drop widgets onto your dashboards. You’ll need to:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e4d95c6640a8b97d7484802c7ef02fc27\">Click on “Add widget” \u003C/li>\u003Cli data-list-item-id=\"e24f3a462d8457e86103c15783f9322dd\">Choose the metric you want to visualize\u003C/li>\u003Cli data-list-item-id=\"e1829284659b910a3d563ed2ce91e30b0\">Customize that widget\u003C/li>\u003C/ul>\u003Cp>Then, repeat this process again for every metric you want to create. This creates unnecessary back and forth between the dashboard and the widget builder, and can be time-consuming. \u003C/p>\u003Cp>A cool feature I like about Geckoboard is its “KPI notifications” which sends notifications when KPIs trend up or down via Slack.\u003C/p>\u003Cp>Compared to AgencyAnalytics, Geckoboard has more data sources (90+) and is more reliable and stable.\u003C/p>\u003Cp>However, unlike Whatagraph, you won’t be able to create custom data blends, metrics, and dimensions on Geckoboard. This can be a deal breaker if you’re a large company and you need to organize your scattered data to create easy to read and impactful reports. \u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong> \u003C/p>\u003Cul>\u003Cli data-list-item-id=\"efccff20ed450523e4236861e069a7f42\">90+ integrations including Google Analytics, HubSpot, Salesforce, and Zendesk\u003C/li>\u003Cli data-list-item-id=\"e8762aa412db56a5688ef8415b4e9e029\">Drag-and-drop dashboard builder\u003C/li>\u003Cli data-list-item-id=\"ebb76977097dea5e83420fc0a9dd391c4\">KPI notifications via Slack when a metric crosses a threshold\u003C/li>\u003Cli data-list-item-id=\"ec2d297dafd27847f06ff298b27bb2a18\">TV dashboards with automated rotation\u003C/li>\u003Cli data-list-item-id=\"e9d0b9a07f6fc0dedc79de03d58723648\">Email and Slack snapshots\u003C/li>\u003Cli data-list-item-id=\"ef967511194a27fdf7b1ea3f34a7a2cae\">Stacked column charts (new April 2026)\u003C/li>\u003Cli data-list-item-id=\"eb9f30991b22c56eeb07923a987c672ff\">Mobile dashboards\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Geckoboard Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>“I love how simple it is to use. That you can connect data from so many different sources in an easy way.” \u003Ci>(\u003C/i>\u003Ca href=\"https://www.capterra.com/p/153066/Geckoboard/reviews/Capterra___6199914/\">\u003Ci>Source\u003C/i>\u003C/a>\u003Ci>)\u003C/i>\u003C/p>\u003Cp>“Connecting the dashboard with the Tv works like a charm.”\u003Ci> (\u003C/i>\u003Ca href=\"https://www.capterra.com/p/153066/Geckoboard/reviews/Capterra___6487252/\">\u003Ci>Source\u003C/i>\u003C/a>\u003Ci>)\u003C/i>\u003C/p>\u003Cp>“Geckoboard could use more features and options for customization. Compared to other tools like Power BI or Tableau, Geckoboard didn't have as many advanced tools for analyzing data or changing how things looked. I wished I could make more complicated charts and do special calculations.” \u003Ci>(\u003C/i>\u003Ca href=\"https://www.capterra.com/p/153066/Geckoboard/reviews/Capterra___6275638/\">\u003Ci>Source\u003C/i>\u003C/a>\u003Ci>)\u003C/i>\u003C/p>\u003Cp>\u003Cstrong>Geckoboard pricing 2026\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e7047cdfcb2c1b8519b68883a4f59a8cb\">\u003Cstrong>Essentials:\u003C/strong> $119/month: 3+ dashboards, 1+ editors, unlimited viewers, all 90+ integrations, real-time data, Slack/Teams/email snapshots, TV screens, dashboard loops, mobile access. Add-ons: extra dashboards $24/each, editors $20/each, screens $20/each, custom themes $40 extra.\u003C/li>\u003Cli data-list-item-id=\"e3a96e9f35529ae9644013c6128cd5583\">\u003Cstrong>Performance:\u003C/strong> $399/month: 25 dashboards, 3 editors, 5 screens, unlimited viewers, everything in Essentials plus custom templates, real-time metric alerts, drilldowns, view source data, custom metrics from custom fields, folders, dashboard ownership and verification, custom themes, onboarding assistance, under 1-hour support response.\u003C/li>\u003Cli data-list-item-id=\"ebb6be93531d6d401ef26295733ef072e\">\u003Cstrong>Enterprise:\u003C/strong> Custom pricing: everything in Performance plus SSO, user management API, audit logs, Power BI and Looker Studio connectors (coming soon), dedicated support manager, full onboarding and training, dashboard consultancy.\u003C/li>\u003C/ul>\u003Ch2>3. Klipfolio\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Data teams at agencies and companies that need formula-level control, centralized metric governance, and highly customizable dashboards.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Klipfolio_report_7a7296329f.png\" alt=\"Klipfolio report - Whatagraph\">\u003Cbr>\u003Ca href=\"https://whatagraph.com/blog/articles/klipfolio-alternatives-and-competitors\" target=\"_blank\" rel=\"noopener noreferrer\">Klipfolio\u003C/a> is a data analytics and a business intelligence tool in one. It offers two key products:\u003C/p>\u003Col>\u003Cli data-list-item-id=\"e356b9683c804ef6733b5f3d646bdb8b0\">\u003Cstrong>PowerMetrics: \u003C/strong>This is their \"Metric Warehouse\" solution that allows data teams to centralize and standardize metrics (like LTV or CAC) so that every department uses the same definition. In 2026, it now features AI Insights that automatically flag trend anomalies.\u003C/li>\u003Cli data-list-item-id=\"edb205fb0633e8b34e220c5a66319fd3d\">\u003Cstrong>Klips:\u003C/strong> These are traditional, highly customizable dashboards. Klips now supports over 130 native integrations, plus a solid REST/URL connector for proprietary data.\u003C/li>\u003C/ol>\u003Cp>Klipfolio’s primary edge over AgencyAnalytics is its governance and Metric Catalog. Rather than just pulling data into a chart, you can:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"eaba40dbe42f2e6d2fb17dfba5319a3ba\">Create a curated list of metrics that are \"certified\" by your data team.\u003C/li>\u003Cli data-list-item-id=\"e54c11af52446e5c17be3830519a23227\">Enable non-technical users to build their own reports using only these certified metrics, preventing data silos.\u003C/li>\u003Cli data-list-item-id=\"e71df1c4b3cdd593eb8806e09539b6748\">Store data in Klipfolio's own warehouse or connect directly to your Snowflake or BigQuery semantic layer.\u003C/li>\u003C/ul>\u003Cp>All this is designed to speed up decision-making and reduce ad hoc requests to data teams - if you have a dedicated data team in the first place.\u003C/p>\u003Cp>Again, as we mentioned earlier, AgencyAnalytics doesn’t come with this kind of granular data organization features. \u003C/p>\u003Cp>Getting started with Klipfolio was easy. I created a Trial account and got access to my first dashboard. \u003C/p>\u003Cfigure class=\"image\">\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Klipfolio_dashboard_interface_e537b87ac7.png\" alt=\"Klipfolio dashboard interface - Whatagraph\">\u003C/figure>\u003Cp>But this is where things got complicated. To visualize your data, you’ll first need to create a “Klip”, which is in a different tab from the dashboard. \u003C/p>\u003Cp>There are some pre-made Klips like the below screenshot, but for the most part, you’ll need to build a custom one. \u003Cbr>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Klips_interface_5fbf70bfaa.png\" alt=\"Klips interface - Whatagraph\">And while they’ve improved the interface in 2026 with \"Instant Klips,\" advanced customization still requires a back-and-forth workflow that can take 5 to 30 minutes per widget.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Custom_Klip_structure_e61bbe19f6.png\" alt=\"Custom Klip builder on Klipfolio - Whatagraph\">\u003Cbr>Once you’re done, then you can add this custom Klip onto your dashboard. \u003C/p>\u003Cp>On Whatagraph, you can create custom widgets natively within your dashboard in seconds. You don’t need to go back and forth from one tab to another—you can simply drag and drop the widgets onto your dashboard.\u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong> \u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e1a6b9949069e302c054379fc1fe6d32d\">130+ integrations including SQL databases, data warehouses, Google Ads, HubSpot, Salesforce CRM, and Google Sheets\u003C/li>\u003Cli data-list-item-id=\"efc313439d225e5351fc95e6f83d4199b\">Data blending and aggregations\u003C/li>\u003Cli data-list-item-id=\"ee510f8382b948761c30a4bfd5e08e835\">Custom metrics and dimensions\u003C/li>\u003Cli data-list-item-id=\"ef323251f3a010b44e3962f57dcdf643e\">AI Insights with anomaly detection, goal tracking, and forecasting\u003C/li>\u003Cli data-list-item-id=\"e4fc2b5b6fbb1c79fa8cca04eb7ff53c8\">Scheduled reports with PDF and CSV exports\u003C/li>\u003Cli data-list-item-id=\"eeb8275d360b6e7994005e53356bc67ae\">Google Sheets connectivity\u003C/li>\u003Cli data-list-item-id=\"e40f2f5acb8f1b5a044e53004cd0a2cd7\">Unlimited users on all plans\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Klipfolio reviews from real users\u003C/strong>\u003C/p>\u003Cp>“What I really like about Klipfolio is that it’s super easy to pick up, connects smoothly with lots of data sources, the dashboards get used all the time.” (\u003Ca href=\"https://www.g2.com/products/klipfolio/reviews/klipfolio-review-11750230\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>)\u003C/p>\u003Cp>“Their customer service is terrible. I was told they were working on a solution more than 6 months ago and have not received a single update. Every time I contact support I get the impression that I am bothering them. I will not be renewing this platform because I do not feel valued as a customer.” (\u003Ca href=\"https://www.g2.com/products/klipfolio/reviews/klipfolio-review-10028175\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>)\u003C/p>\u003Cp>“It doens't have as many chart options like Power bi or Data Studio. It's good only for light data analysis.” (\u003Ca href=\"https://www.g2.com/products/klipfolio/reviews/klipfolio-review-10028175\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>)\u003C/p>\u003Cp>\u003Cstrong>Klipfolio pricing 2026\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ea28d82e18ef5170a72f0c2f52be9a199\">\u003Cstrong>Base:\u003C/strong> $120/month: 3 dashboards, 130+ integrations, 4-hour data refresh\u003C/li>\u003Cli data-list-item-id=\"e2c367eaa88ad5153d8f42dee7f059556\">\u003Cstrong>Grow:\u003C/strong> $190/month: 10 dashboards, 1-hour refresh\u003C/li>\u003Cli data-list-item-id=\"e1c277637f942931352a7b3d7bdac84c0\">\u003Cstrong>Team:\u003C/strong> $310/month: 20 dashboards, 15-minute refresh, SSO\u003C/li>\u003Cli data-list-item-id=\"e6dda633412f7fdde1771d72e96c1d3e4\">\u003Cstrong>Team+:\u003C/strong> $600/month: 40 dashboards, up-to-the-minute refresh, priority support, custom onboarding\u003C/li>\u003C/ul>\u003Cp>Add-ons worth knowing: extra dashboards at $8/month each; near-real-time refresh queue and performance tuning available as separate paid add-ons.\u003C/p>\u003Ch2>3. Tableau\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Enterprise data teams with complex, multi-source analytics needs and dedicated BI headcount.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Tableau_27dd37a104.png\" alt=\"Tableau marketing dashboard - Whatagraph\">\u003C/p>\u003Cp>If you’re looking for an enterprise-level business intelligence solution, Tableau is a great choice. It’s a data analysis and a visualization tool in one. \u003C/p>\u003Cp>In 2026, they have three key improvements:\u003C/p>\u003Col>\u003Cli data-list-item-id=\"e862eafe9023d400c0e4f08ee62835d2b\">\u003Cstrong>Tableau Pulse:\u003C/strong> This is the biggest shift in recent years—instead of users having to dig through dashboards, Pulse proactively sends personalized KPI \"digests\" to Slack, Teams, or email. It uses AI to explain \u003Ci>why\u003C/i> a metric moved (e.g., \"Your CPC increased because of a surge in weekend traffic\").\u003C/li>\u003Cli data-list-item-id=\"ef3b316fe06896cd4476ccfb3aa29f995\">\u003Cstrong>Tableau Agent (formerly Einstein Copilot):\u003C/strong> Salesforce has rebranded Einstein's capabilities into Tableau Agent. This is a conversational assistant that lets you build complex calculations, pivot tables, and even entire visualizations using natural language prompts.\u003C/li>\u003Cli data-list-item-id=\"ec6de4b19ab559b3ac1463abc946d6eb0\">\u003Cstrong>Tableau+ Tier:\u003C/strong> Launched for the highest-level enterprise needs, this tier includes advanced AI capabilities which automatically generates semantic models from raw data.\u003C/li>\u003C/ol>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Tableau_agent_36f2b61bfe.png\" alt=\"\">\u003C/p>\u003Cp>\u003Ca href=\"https://www.tableau.com/blog/einstein-copilot-tableau-data-analysis-with-ai\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>For a powerful data analysis tool, Tableau is still easy to use with a drag-and-drop interface and visual query builder. You can generate insights quickly and share them with stakeholders through reports.\u003C/p>\u003Cp>You can perform complex data analysis, uncover trends, and identify opportunities for optimization using features such as trend lines, forecasting, and clustering. These are granular things that you can’t do on AgencyAnalytics.\u003C/p>\u003Cp>If you need help, you can go to Tableau community forums and ask your questions. A current Tableau user or a moderator will answer you. You can also purchase “Success Plans” that come with personalized training and support.\u003C/p>\u003Cp>Unlike Whatagraph or AgencyAnalytics, Tableau has a steep learning curve. While basic drag-and-drop is intuitive, mastering \"Level of Detail\" (LOD) expressions or complex data blending requires dedicated training.\u003Cbr>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Tableau_Einstein_08499a3f31.png\" alt=\"Tableau Einstein dashboard - Whatagraph\">However, Tableau is (a lot) more expensive than AgencyAnalytics as it’s mainly for enterprises. \u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong> \u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e077b2c134eed6b9f9f1a931d13534462\">90+ connectors including Google Analytics, Salesforce CRM, and data warehouses\u003C/li>\u003Cli data-list-item-id=\"e88e299f1be7d9ce4421ccd85d162c8ad\">Tableau Agent - natural language analytics, now generally available\u003C/li>\u003Cli data-list-item-id=\"ee3a4f8958de117cb253e73926bc683d1\">Tableau Pulse - proactive KPI digests to Slack, Teams, and email\u003C/li>\u003Cli data-list-item-id=\"e86e68e7f6775040e3beffb6d6a7ab9a1\">Auto-generated semantic models\u003C/li>\u003Cli data-list-item-id=\"eefca4910b6ea0fb3ad3d87fadf89a4fc\">AI-powered color palettes\u003C/li>\u003Cli data-list-item-id=\"e76605df50630f0dd0f0e3e61b77e1e46\">Radial charts and advanced visualizations\u003C/li>\u003Cli data-list-item-id=\"e6f7431bf6e0554c1bf96f7806a614b0a\">Trend lines and forecasting\u003C/li>\u003Cli data-list-item-id=\"e9a1e6c8e2a5429b61d9a75a41c21c255\">Snowflake and BigQuery connectivity\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Tableau reviews from real users:\u003C/strong>\u003C/p>\u003Cp>“Tableau creates beautiful, professional-looking graphs, maps, and dashboards that are easy to understand and present.” (\u003Ca href=\"https://www.g2.com/products/tableau/reviews/tableau-review-12110891\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>)\u003C/p>\u003Cp>“Software is very complex and sophisticated.” (\u003Ca href=\"https://www.g2.com/products/tableau/reviews/tableau-review-6884166\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>)\u003C/p>\u003Cp>“The licensing cost adds up quickly as more users need access, and it requires a good amount of system resources, so performance slows with large datasets.” (\u003Ca href=\"https://www.g2.com/products/tableau/reviews/tableau-review-12343955\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>)\u003C/p>\u003Cp>\u003Cstrong>Tableau pricing 2026\u003C/strong>\u003C/p>\u003Cp>\u003Ci>Billed annually per user:\u003C/i>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ead88b98199b4ba4642de74dff924e4b3\">\u003Cstrong>Tableau:\u003C/strong> $15/user/month: browser-based web authoring, Tableau Desktop and Prep Builder, Tableau Pulse\u003C/li>\u003Cli data-list-item-id=\"e53c421d07e3c5a4880301a319dbe736d\">\u003Cstrong>Tableau Enterprise:\u003C/strong> from $35/user/month: everything in Tableau, plus advanced management and data management\u003C/li>\u003Cli data-list-item-id=\"ea4b429f54688b4b6396f48f2622f57f3\">\u003Cstrong>Tableau Cloud+:\u003C/strong> contact sales: everything in Tableau Enterprise, plus Tableau Agent in Tableau Cloud and Pulse, Premier Success, 50 sites, and Release Preview access\u003C/li>\u003Cli data-list-item-id=\"ef96e516b3cf4c549ac9ec9e3edc7678e\">\u003Cstrong>Tableau+ Bundle:\u003C/strong> contact sales: everything in Tableau Cloud+, plus Tableau Next (agentic analytics)\u003C/li>\u003C/ul>\u003Ch2>4. Looker Studio (a.k.a. Google Data Studio)\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Freelancers, boutique agencies, and Google-centric marketing teams working with modest budgets.\u003C/p>\u003Cfigure class=\"media\">\u003Cdiv data-oembed-url=\"https://www.youtube.com/watch?v=ZBoFvaWr-Dk&t=1s\">\u003Cdiv style=\"position: relative; padding-bottom: 100%; height: 0; padding-bottom: 56.2493%;\">\u003Ciframe src=\"https://www.youtube.com/embed/ZBoFvaWr-Dk?start=1\" style=\"position: absolute; width: 100%; height: 100%; top: 0; left: 0;\" frameborder=\"0\" allow=\"autoplay; encrypted-media\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen=\"\">\u003C/iframe>\u003C/div>\u003C/div>\u003C/figure>\u003Cp> \u003C/p>\u003Cp>Google’s free reporting tool, \u003Ca href=\"https://whatagraph.com/blog/articles/google-data-studio-alternatives\">Looker Studio\u003C/a>, is a popular choice among marketers. \u003C/p>\u003Cp>Looker Studio comes with 21 native integrations with Google-based platforms like Google Ads, DV 360, Google Sheets, and Google Analytics. You can also connect to BigQuery, MySQL, and Microsoft SQL servers on Looker. \u003C/p>\u003Cp>\u003Cstrong>In 2026, Looker Studio has three major upgrades:\u003C/strong>\u003C/p>\u003Col>\u003Cli data-list-item-id=\"e2829ceb5e09ff7e1f8e4253bb14caea8\">The biggest update this year is the integration of Gemini. Pro users can now use conversational analytics to ask questions; Gemini can interpret natural-language prompts to help build calculated field formulas, reducing the manual effort required to write complex expressions.\u003C/li>\u003Cli data-list-item-id=\"e6029a51e1119d3197c51b71fc800b4cf\">There is now a dedicated Looker mobile app (for iOS and Android). While free users can view reports in a mobile browser, the app provides a much smoother, native experience for Pro users to access their dashboards on the go.\u003C/li>\u003Cli data-list-item-id=\"edd445d76a8a929cb328cc0fd6b2e7035\">A new Pro feature allows you to export your live dashboard widgets directly into a Google Slides presentation with a single click.\u003C/li>\u003C/ol>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Looker_Studio_dashboard_d9479b2e38.png\" alt=\"Looker Studio Dashboard - Three phone screens displaying analytics data with charts and graphs.\">Compared to AgencyAnalytics, you can create very detailed and customized dashboards on Looker Studio, depending on how well you know the platform. But \u003Ca href=\"https://whatagraph.com/blog/articles/looker-studio-slow\">Looker Studio can be slow\u003C/a>, clunky, and doesn’t come with customer support (unless you buy the Pro plan).\u003C/p>\u003Cp>Plus, while Looker Studio supports data blending, it’s report-specific. Unlike Whatagraph, which allows you to create a master metric once and use it everywhere, Looker Studio requires you to rebuild complex blends for every new report.\u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong> \u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e21c7d54eae54b69e61f10fab9aa5c401\">21 native Google connectors (free) and 1,000+ partner connectors (paid)\u003C/li>\u003Cli data-list-item-id=\"ed1360678b1b5794c0619b536050d5fc9\">Drag-and-drop report builder\u003C/li>\u003Cli data-list-item-id=\"ebbbc3daf9457f3f13724c7decf87f3d5\">Gemini conversational analytics (Pro)\u003C/li>\u003Cli data-list-item-id=\"e9e0415a9f0541e7b8c8eb5d95fbcb763\">Code Interpreter for advanced Python analysis (Pro)\u003C/li>\u003Cli data-list-item-id=\"e148478b94b66d46c937cd4f27b394af5\">Google Slides export (Pro)\u003C/li>\u003Cli data-list-item-id=\"ecb5d4cdc4389acec32ad54009ae01139\">Google Sheets and Excel import\u003C/li>\u003Cli data-list-item-id=\"edcd027cde04733346f882ab8d725e344\">Cross data source filtering\u003C/li>\u003Cli data-list-item-id=\"efc7a38fa21a82f23242efd8faf3b4cfb\">Mobile app (Pro)\u003C/li>\u003Cli data-list-item-id=\"e40ace253c3b74a472106c120f9aaf272\">Deeply embedded in the Google Cloud and BigQuery ecosystem\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Looker Studio reviews from real users\u003C/strong>\u003C/p>\u003Cp>“What I like best about Looker Studio is how flexible it is for turning data into visuals.” (\u003Ca href=\"https://www.g2.com/products/looker-studio/reviews/looker-studio-review-12382941\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>)\u003C/p>\u003Cp>“Sometimes it gets really slow and lags when multiple data sources are connected.” (\u003Ca href=\"https://www.g2.com/products/looker-studio/reviews/looker-studio-review-10065525\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>)\u003C/p>\u003Cp>“Looker Studio is weak when it comes to integrating data from third-party tools outside the Google ecosystem, such as Bing or Yandex.” (\u003Ca href=\"https://www.g2.com/products/looker-studio/reviews/looker-studio-review-12370958\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>)\u003C/p>\u003Cp>\u003Cstrong>Looker Studio pricing 2026\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e365ac698d85244168e83abe047414c3a\">\u003Cstrong>Free:\u003C/strong> Core reporting and dashboard builder, all native Google connectors, unlimited users\u003C/li>\u003Cli data-list-item-id=\"e03e831d025df195f601de1d0c7c081ee\">\u003Cstrong>Looker Studio Pro:\u003C/strong> $9/user/project/month: up to 200 scheduled PDF reports, mobile app, Gemini AI, organizational ownership and governance\u003C/li>\u003C/ul>\u003Cp>But even if you use the free version, you’ll likely encounter these two costs:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"eb32425c192cab13d43580c9ce27a771d\">\u003Cstrong>Partner Connectors: \u003C/strong>If you need to pull data from Meta Ads, TikTok, or LinkedIn, you’ll need a third-party connector (e.g., Supermetrics or Power My Analytics). In 2026, these range from $25 to $400+/mo depending on your data volume.\u003C/li>\u003Cli data-list-item-id=\"e301a2eead081c87158b18e91b629f09b\">\u003Cstrong>BigQuery Usage:\u003C/strong> If you store your data in BigQuery to speed up slow reports, you pay for data storage and \"query costs\" (usually a few dollars a month for small-to-mid agencies).\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Read more:\u003C/strong> \u003Ca href=\"https://whatagraph.com/blog/articles/looker-studio-connectors\">Your Guide to Looker Studio Connectors: Types, How-to & Issues\u003C/a> \u003C/p>\u003Ch2>6. DashThis\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Small agencies, freelancers, and in-house marketing teams who need fast, template-based client reporting without a heavy setup.\u003C/p>\u003Cfigure class=\"media\">\u003Cdiv data-oembed-url=\"https://youtu.be/fa9Gc_2QiF4?si=ccLJBd66Al5WVYcc\">\u003Cdiv style=\"position: relative; padding-bottom: 100%; height: 0; padding-bottom: 56.2493%;\">\u003Ciframe src=\"https://www.youtube.com/embed/fa9Gc_2QiF4\" style=\"position: absolute; width: 100%; height: 100%; top: 0; left: 0;\" frameborder=\"0\" allow=\"autoplay; encrypted-media\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen=\"\">\u003C/iframe>\u003C/div>\u003C/div>\u003C/figure>\u003Cp> \u003C/p>\u003Cp>\u003Ca href=\"https://whatagraph.com/blog/articles/dashthis-alternatives-and-competitors\" target=\"_blank\" rel=\"noopener noreferrer\">DashThis\u003C/a> is a simple marketing reporting tool that connects to 34+ marketing platforms and visualizes KPIs on dashboards.\u003C/p>\u003Cp>If you don’t see a built-in integration you need, you can also upload your own data using a nifty CSV file or a Google sheet. \u003C/p>\u003Cp>Once your data is connected, you can visualize it using three key dashboards:\u003C/p>\u003Col>\u003Cli data-list-item-id=\"e68170d99fd41753cb600a817bde0c6e7\">\u003Cstrong>Periodic dashboards\u003C/strong>: These are dashboards based on specific time periods and cadence, like daily, weekly, monthly, semi-annually, and annually.\u003C/li>\u003Cli data-list-item-id=\"e6533a6849d5f87e797bfdf4c722c5fa7\">\u003Cstrong>Campaign dashboards\u003C/strong>: These dashboards are used to isolate and highlight a specific campaign for a custom date range. \u003C/li>\u003Cli data-list-item-id=\"ecc1cf102ebcd934ceca17541fabeb5de\">\u003Cstrong>Rolling dashboards\u003C/strong>: These dashboards show trends of metrics for three different date ranges.\u003C/li>\u003C/ol>\u003Cp>These dashboards are also pre-made, meaning you can quickly get started. \u003C/p>\u003Cp>On the more pricier plans, you’ll get a dedicated product specialist assigned to you who will help you set up your dashboards. \u003C/p>\u003Cp>However, DashThis is more suitable as a reporting tool rather than a data analytics platform. There are very few options to customize or organize your data on DashThis. \u003C/p>\u003Cp>You can only “merge” widgets together in DashThis; you can’t blend data sources to the full extent or create advanced metrics and dimensions. On Whatagraph, you can easily organize your data any way you’d like using simple workflows. \u003C/p>\u003Cp>The platform now includes AI Insights: automatic plain-language analysis of your marketing performance that updates as new data comes in, surfacing trends, anomalies, and key takeaways inside your reports. \u003C/p>\u003Cp>You can also chat with your dashboards to ask questions about specific metrics. Reddit Ads and Pinterest Ads integrations were added in 2026, broadening the PPC and social media channel coverage.\u003C/p>\u003Cp>In March 2026, DashThis made a significant pricing change: plans now include both a dashboard limit and a data source limit, not just dashboards. Each distinct connected account counts as one source, so an agency with 10 clients each using Google Ads, Meta, and GA4 is connecting 30 sources before adding any other channels. Factor that into your cost projections before signing up.\u003C/p>\u003Cp>White-label reporting is available on the Professional plan and above: custom domain, branded colors, and your own email address for scheduled report delivery.\u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong> \u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e7f01650386e7c840fdb2c87c0a2e84b1\">30+ native integrations including Google Analytics, Google Ads, Meta, LinkedIn, TikTok, YouTube, HubSpot, and Ahrefs\u003C/li>\u003Cli data-list-item-id=\"e64082a3033a5a75d5a7819bdf595eac7\">AI Insights with chat functionality (new 2026)\u003C/li>\u003Cli data-list-item-id=\"e9e07f39dfc14e9ef0bf0c7259d5f1917\">50+ preset report templates and 1,000+ widget templates\u003C/li>\u003Cli data-list-item-id=\"e3d968d352e8334f75c78de4a0bfe1175\">White-label reporting on Professional plans and above\u003C/li>\u003Cli data-list-item-id=\"e9403e9982f881e225b711821e201d616\">Custom domain and branded email delivery\u003C/li>\u003Cli data-list-item-id=\"e527fca4819cc1d1099405a0c66fcf794\">Automated email, PDF, and live link sharing\u003C/li>\u003Cli data-list-item-id=\"eb3f6341d95e11e54a48d585e5f197408\">CSV custom data import\u003C/li>\u003Cli data-list-item-id=\"e450fd028be5cf351667f5d70a79f9dd9\">Unlimited users on all plans\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>DashThis reviews from real users\u003C/strong>\u003C/p>\u003Cp>“Very easy to use and visually appealing dashboard.” (\u003Ca href=\"https://www.g2.com/products/dashthis/reviews/dashthis-review-12160088\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>)\u003C/p>\u003Cp>“One downside is the pricing; it can be a bit steep for smaller teams. Also, some of the advanced features are a little tricky to set up without some prior knowledge.” (\u003Ca href=\"https://www.g2.com/products/dashthis/reviews/dashthis-review-10295576\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>)\u003C/p>\u003Cp>“The weakness of DashThis is that it requires knowledge of the other programs it's pulling information from. If someone on our team is unfamiliar with one of the programs that DashThis is presenting, it can lead to some reporting issues. So, it's more of a knowledge failing rather than a performance.” (\u003Ca href=\"https://www.g2.com/products/dashthis/reviews/dashthis-review-11718662\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>)\u003C/p>\u003Cp>\u003Cstrong>DashThis pricing 2026\u003C/strong>\u003C/p>\u003Cp>\u003Ci>Billed annually, unlimited users and integrations on all plans:\u003C/i>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e637594ce5b97894b8a76b3fcd33f504f\">\u003Cstrong>Individual:\u003C/strong> $44/month ($54/month billed monthly): 3 dashboards, 15 sources, AI Insights, preset templates, custom logo, drag-and-drop editor, automated email dispatch, link sharing, PDF export\u003C/li>\u003Cli data-list-item-id=\"efd8d432322c3f4a44e0d6396e990a412\">\u003Cstrong>Professional:\u003C/strong> $139/month ($164/month billed monthly): 10 dashboards, 40 sources, everything in Individual plus custom colour themes, custom domain, custom email, white-labeled dashboards\u003C/li>\u003Cli data-list-item-id=\"e4b96c2cf3c4480357d3e2dd5078cff7b\">\u003Cstrong>Business:\u003C/strong> $279/month ($324/month billed monthly): 25 dashboards, 100 sources, everything in Professional plus customer success specialist, personalized onboarding, priority support, 1-on-1 screen-sharing sessions\u003C/li>\u003Cli data-list-item-id=\"ef162a43fba71dff523b9a242e6ca3f90\">\u003Cstrong>Standard:\u003C/strong> $429/month ($499/month billed monthly): 50 dashboards, 200 sources, everything in Business\u003C/li>\u003C/ul>\u003Cp>Add-on: AI Insights Pro at $15/month (billed annually) or $19/month - adds Chat Mode (ask questions about your data) and Dashboard Context (insights tailored to your goals and reporting style).\u003C/p>\u003Ch2>7. Grow\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Data analysts and operations managers at medium to large enterprises who need a centralized single source of truth.\u003C/p>\u003Cfigure class=\"media\">\u003Cdiv data-oembed-url=\"https://www.youtube.com/watch?v=lr9YOHIFVEE\">\u003Cdiv style=\"position: relative; padding-bottom: 100%; height: 0; padding-bottom: 56.2493%;\">\u003Ciframe src=\"https://www.youtube.com/embed/lr9YOHIFVEE\" style=\"position: absolute; width: 100%; height: 100%; top: 0; left: 0;\" frameborder=\"0\" allow=\"autoplay; encrypted-media\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen=\"\">\u003C/iframe>\u003C/div>\u003C/div>\u003C/figure>\u003Cp> \u003C/p>\u003Cp>Grow is a no-code, full-stack business intelligence (BI) platform. Unlike simple reporting tools, Grow combines ETL (Extract, Transform, Load), data warehousing, and visualization into one unified environment.\u003C/p>\u003Cp>You can now structure dashboards with flexible horizontal and vertical tabs, and set \"Show/Hide\" rules for specific panels based on the user viewing the report (e.g., a regional manager only sees their region’s data).\u003C/p>\u003Cp>Launched in late 2025, the Smart Builder now uses \"Smart Assumptions\" to automatically identify keys and values in your data, significantly speeding up the initial charting process for 100+ native integrations.\u003C/p>\u003Cp>Grow has also integrated natural language interaction, allowing users to ask questions in plain language and receive a narrative explanation based on the underlying transformed data.\u003C/p>\u003Cp>Plus, Grow stores your data automatically on its platform so you don’t need to ship it to a third-party data warehouse.\u003C/p>\u003Cp>You can create three types of dashboards on Grow:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ecb3ebb5b533010c56abaa643f654d5d8\">\u003Cstrong>Dynamic dashboards\u003C/strong> which display data based on who is logged into the account.\u003C/li>\u003Cli data-list-item-id=\"ed88a276866eba90dda4f53c8890d7f8e\">\u003Cstrong>Dashboard Blueprints \u003C/strong>which are pre-built, single data source dashboards\u003C/li>\u003Cli data-list-item-id=\"e74f23167d88a1cc5e0ec0aea073b2b99\">\u003Cstrong>Custom & Sandbox dashboards \u003C/strong>which shows blended data sources and metrics\u003C/li>\u003C/ul>\u003Cp>These dashboards also come with powerful filtering options based on date, number, or categorical logic. \u003C/p>\u003Cp>You can then share them through emails, shareable URLs, Slack, TV-mode, or tables of raw and transformed data. \u003C/p>\u003Cp>The key advantage of Grow over AgencyAnalytics is its reliability. The platform uses APIs to import data seamlessly from data sources, and it continually refreshes the data so your metrics are up-to-date and reliable. \u003C/p>\u003Cp>However, Grow is more suitable for internal data storage and monitoring rather than for external reports. Their dashboards are very nitty-gritty which can overwhelm clients or the C-Suite.\u003C/p>\u003Cp>\u003Cstrong>Key Features\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"eec59624773e5241320250520dd8384bc\">150+ native connectors including CRM platforms and Google Analytics\u003C/li>\u003Cli data-list-item-id=\"eeb334c833a7cb65ddc95c36125cfa1c1\">Built-in data storage and warehousing\u003C/li>\u003Cli data-list-item-id=\"ee7e29b114ed0785cb535f176d9a31a74\">No-code data transformation and pipelines\u003C/li>\u003Cli data-list-item-id=\"ebedd3b36f535c93cc0bf8b3f01692f77\">Natural language data interaction (new 2026)\u003C/li>\u003Cli data-list-item-id=\"e87cab19e4dcd675771d6a6e78bb9bab9\">Smart Builder with Smart Assumptions (new 2026)\u003C/li>\u003Cli data-list-item-id=\"ee793d792901724d1d67f5e06e7f303d4\">Customizable dashboards with show/hide rules by viewer role\u003C/li>\u003Cli data-list-item-id=\"ee04a90815a45f954d39b528a164a3871\">Real-time data updates\u003C/li>\u003Cli data-list-item-id=\"efbeaf68d3d2faae9d0d2568c148f6211\">Slack notifications, TV mode, and shareable URLs\u003C/li>\u003Cli data-list-item-id=\"e52569ff914dfd0e2bcbbbc50c5b90d7d\">Snowflake and data warehouse connectivity\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Grow Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>“Ease of use, Its like power of data which can be used at various levels of our organisation and has best value in analytics.” (\u003Ca href=\"https://www.g2.com/products/grow-com/reviews/grow-com-review-11805201\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>)\u003C/p>\u003Cp>“The platform is great overall, but connecting and syncing data sources can sometimes take longer than expected. Handling large datasets or complex dashboards may slightly affect performance.” (\u003Ca href=\"https://www.g2.com/products/grow-com/reviews/grow-com-review-11828962\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>)\u003C/p>\u003Cp>“Large dataset makes the software have performance challenges, leading to timeouts.” (\u003Ca href=\"https://www.g2.com/products/grow-com/reviews/grow-com-review-11716681\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>)\u003C/p>\u003Cp>\u003Cstrong>Grow Pricing\u003C/strong>\u003C/p>\u003Cp>Grow (now an Epicor company) continues to hide its exact pricing behind a \"Request a Quote\" wall. They do not list flat-rate monthly plans for self-service sign-up.\u003C/p>\u003Ch2>8. NinjaCat\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Large marketing agencies, media companies, and enterprise brands with dedicated data science teams that need agentic AI on top of a managed data platform.\u003C/p>\u003Cfigure class=\"media\">\u003Cdiv data-oembed-url=\"https://youtu.be/-TzZ5GvndIw?si=2SrcLAyRMX487S02\">\u003Cdiv style=\"position: relative; padding-bottom: 100%; height: 0; padding-bottom: 56.2493%;\">\u003Ciframe src=\"https://www.youtube.com/embed/-TzZ5GvndIw\" style=\"position: absolute; width: 100%; height: 100%; top: 0; left: 0;\" frameborder=\"0\" allow=\"autoplay; encrypted-media\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen=\"\">\u003C/iframe>\u003C/div>\u003C/div>\u003C/figure>\u003Cp> \u003C/p>\u003Cp>NinjaCat has made a significant shift in 2026. It's positioning itself less as a reporting tool and more as an AI agent platform built on top of a managed marketing data cloud. \u003C/p>\u003Cp>The headline update is the expansion of its AI Agents library: autonomous agents that don't just surface insights but chain together to execute workflows. \u003C/p>\u003Cp>A typical chain looks like this: an anomaly detection agent spots a 40% CPC spike overnight, sends a structured Slack alert to the paid media team with affected accounts and severity, a second agent diagnoses the root cause (a competitor entered your top PPC keywords), and a third generates three response options. Detection, alert, diagnose, recommend.\u003C/p>\u003Cp>The platform connects to 150+ pre-built connectors and stores your marketing data in a fully managed data warehouse. You can run no-code data transformations, create custom calculations, and export to Snowflake, BigQuery, Amazon S3, Tableau, or Looker Studio. The 2026 Report Studio has a new UI with a Sankey chart type, improved column filtering, and better navigation.\u003C/p>\u003Cp>NinjaCat also handles SEO reporting, rank tracking, and backlink monitoring via its built-in SEO tools, making it one of the more complete platforms for agencies managing both PPC and organic search workflows.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/ninjacat_3816cd9981.png\" alt=\"Ninjacat report template\">\u003C/p>\u003Cp>Graphic designers will be familiar with this layout as it looks a lot like a popular design tool—Figma. However, if you’re a marketer without a design background, this can be quite confusing and overwhelming.\u003C/p>\u003Cp>\u003Cstrong>Key Features\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e59b605375c9d6add8af99da56b207e12\">150+ pre-built connectors\u003C/li>\u003Cli data-list-item-id=\"e78f880dd0eb38355646dd375b490a8f7\">Fully managed Data Cloud with built-in warehousing\u003C/li>\u003Cli data-list-item-id=\"e49deac33477b1c2463fa4d36e23bf470\">AI Agents for PPC hygiene, creative audits, anomaly detection, spend monitoring, and client communications\u003C/li>\u003Cli data-list-item-id=\"eaea669a732b698890455ab4e856c212d\">ETL and semantic data modeling\u003C/li>\u003Cli data-list-item-id=\"e08179407eb4796051403db260f4bb7ee\">SEO tools with rank tracking and backlink monitoring\u003C/li>\u003Cli data-list-item-id=\"ea91feb0efb2a73e07dd798039e2e3a69\">White-label reporting\u003C/li>\u003Cli data-list-item-id=\"e1e25bcf3d63bf794dfd192513ee8854b\">Data export to Snowflake, BigQuery, and Amazon S3\u003C/li>\u003Cli data-list-item-id=\"ec05468a1d9dd13abf5f0c8c790ec09ca\">Report templates and interactive dashboards with new 2026 UI\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>NinjaCat Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>“Sometimes Ninjacat can be a bit overwhelming with all of the features and solutions it has, but that is not really a bad thing.” (\u003Ca href=\"https://www.g2.com/products/ninjacat/reviews/ninjacat-review-12180387\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>)\u003C/p>\u003Cp>“The technology is sophisticated and can do a lot. Because of that, things can break down from time to time.” (\u003Ca href=\"https://www.g2.com/products/ninjacat/reviews/ninjacat-review-11877431\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>)\u003C/p>\u003Cp>“Making it easier to connect with various apps and configure the AI agent would help increase adoption.” (\u003Ca href=\"https://www.g2.com/products/ninjacat/reviews/ninjacat-review-11775284\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>)\u003C/p>\u003Cp>\u003Cstrong>NinjaCat pricing 2026\u003C/strong>\u003C/p>\u003Cp>NinjaCat operates on a custom contract model and does not offer a self-serve small business plan.\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e1691a2fa9c113251a7004305d1301255\">\u003Cstrong>Starting price:\u003C/strong> Market data indicates enterprise contracts typically start at \u003Ca href=\"https://www.capterra.com/p/132630/NinjaCat/#pricing\" target=\"_blank\" rel=\"noopener noreferrer\">$1,500 per month\u003C/a>.\u003C/li>\u003C/ul>\u003Cp>Pricing is \"flat-rate\" (no metered usage or token anxiety) and is typically based on the number of data sources, reporting volume, and AI Agent seats.\u003C/p>\u003Ch2>9. Cyfe\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Boutique agencies and small business owners who need an affordable monitoring hub for office TVs.\u003C/p>\u003Cfigure class=\"media\">\u003Cdiv data-oembed-url=\"https://www.youtube.com/watch?v=J-oNiUJPS0Y&t=7s\">\u003Cdiv style=\"position: relative; padding-bottom: 100%; height: 0; padding-bottom: 56.2493%;\">\u003Ciframe src=\"https://www.youtube.com/embed/J-oNiUJPS0Y?start=7\" style=\"position: absolute; width: 100%; height: 100%; top: 0; left: 0;\" frameborder=\"0\" allow=\"autoplay; encrypted-media\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen=\"\">\u003C/iframe>\u003C/div>\u003C/div>\u003C/figure>\u003Cp> \u003C/p>\u003Cp>Cyfe is a business dashboard app and reporting platform that helps you easily monitor your business data from one place and make better decisions.\u003C/p>\u003Cp>A major focus for Cyfe in 2026 is its optimized TV Mode, which includes automated dashboard rotation and high-contrast themes specifically designed for wall-mounted monitors in agency offices.\u003C/p>\u003Cp>You can pull data from 100+ integrations including social media, email, SEO, and sales and finance tools. You can also bring in custom data via .CSV, Google Sheets, SQL, private URL, or push API.\u003C/p>\u003Cp>To build visualizations, you can start from their dashboard templates or pre-built widgets. The platform also comes with “Embedded Analytics” where you can take an entire dashboard or a widget and embed it to emails, webpages, or applications.\u003C/p>\u003Cp>For SEO managers, Cyfe offers a built-in keyword ranking tool which allows you to automatically monitor website rankings across Yahoo, Google, and Bing. This is similar to AgencyAnalytics’ Rank Tracker tool. \u003C/p>\u003Cp>Cyfe remains one of the few platforms with deep localization support, offering its interface in 15 languages including Turkish, French, and Japanese.\u003C/p>\u003Cp>However, Cyfe does not come with any advanced data calculations or organization features, nor can you transfer data to warehouses or other destinations. \u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong> \u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ecbcdc5f746d1b88c71e274b13ea41aea\">100+ integrations including social media, SEO tools, Google Analytics, Google Ads, and CRM platforms\u003C/li>\u003Cli data-list-item-id=\"eb5a9aa2ff7abfacf4bf413477a47fb00\">Custom and pre-built widgets\u003C/li>\u003Cli data-list-item-id=\"efb72b5c0400ae60fd364627c7ed5dd62\">TV Mode with automated dashboard rotation\u003C/li>\u003Cli data-list-item-id=\"e23859f22dddeb6cda8147814e9735737\">Built-in rank tracking and backlink monitoring\u003C/li>\u003Cli data-list-item-id=\"e6b93e53333069181ea2ef7de6995164e\">Embedded analytics (Premier plan)\u003C/li>\u003Cli data-list-item-id=\"e75c79cf191ed643298e3729bc9e755d6\">White-label reporting (Agency plan)\u003C/li>\u003Cli data-list-item-id=\"ee6e683b03acc3365e89f3747d5db5077\">Custom domain\u003C/li>\u003Cli data-list-item-id=\"e9728621bacce475aa229428b159638bf\">15-language interface\u003C/li>\u003Cli data-list-item-id=\"ee5f5cf5090db8a679e9d27fc4c8359bb\">Custom data import via CSV, Google Sheets, SQL, and push API\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Cyfe Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>“Nice look and feel…Very basic data sources work okay.” (\u003Ca href=\"https://www.g2.com/products/cyfe/reviews/cyfe-review-8525639\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>)\u003C/p>\u003Cp>“no Customer Service- Email in and pray for answer (prayers left unanswered).” (\u003Ca href=\"https://www.g2.com/products/cyfe/reviews/cyfe-review-8212492\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>)\u003C/p>\u003Cp>“Support really sucks. This never used to be the case BTW.” \u003Ci>(\u003C/i>\u003Ca href=\"https://www.capterra.com/p/225437/Cyfe/reviews/GetApp___4272740/\">\u003Ci>Source\u003C/i>\u003C/a>\u003Ci>)\u003C/i>\u003C/p>\u003Cp>\u003Cstrong>Cyfe pricing 2026\u003C/strong>\u003C/p>\u003Cp>\u003Ci>Monthly billing; 14-day free trial on all plans. All plans include unlimited history, TV Mode, public URLs, custom logo, custom themes, custom SSL domain, unlimited data exports, and embedded analytics:\u003C/i>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e1e54810017681b2ba6857a3c589ae097\">\u003Cstrong>Starter:\u003C/strong> $29/month: 2 dashboards, 1 user\u003C/li>\u003Cli data-list-item-id=\"ebd614ae1cd3db09c0dc22107951d06d1\">\u003Cstrong>Standard:\u003C/strong> $39/month: 5 dashboards, 2 users\u003C/li>\u003Cli data-list-item-id=\"eebc44f05b64e73e55c5547a121ca80cc\">\u003Cstrong>Pro:\u003C/strong> $65/month: 10 dashboards, 5 users\u003C/li>\u003Cli data-list-item-id=\"e2fe9bb897e659bc26f92f1e2f5da408c\">\u003Cstrong>Premier:\u003C/strong> $119/month: 20 dashboards, unlimited users, +$5 per additional dashboard\u003C/li>\u003Cli data-list-item-id=\"e36908bdba103c474cfbec70d7eb0b4f9\">\u003Cstrong>Agency:\u003C/strong> $190+/month: 100 dashboards, 15 users, 10 clients (+$19 per additional client), 100% white-label, branded widgets, custom CSS, client management, sub-user invites, white-label reports\u003C/li>\u003C/ul>\u003Ch2>10. Databox\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Mid-sized marketing teams and agencies that want AI-assisted analysis, goal tracking, benchmarking, and KPI dashboards.\u003C/p>\u003Cfigure class=\"media\">\u003Cdiv data-oembed-url=\"https://youtu.be/9oDXcn1vinI?si=q0ghdtFCotR8fgnS\">\u003Cdiv style=\"position: relative; padding-bottom: 100%; height: 0; padding-bottom: 56.2493%;\">\u003Ciframe src=\"https://www.youtube.com/embed/9oDXcn1vinI\" style=\"position: absolute; width: 100%; height: 100%; top: 0; left: 0;\" frameborder=\"0\" allow=\"autoplay; encrypted-media\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen=\"\">\u003C/iframe>\u003C/div>\u003C/div>\u003C/figure>\u003Cp> \u003C/p>\u003Cp>\u003Ca href=\"https://whatagraph.com/blog/articles/databox-alternatives-and-competitors\">Databox\u003C/a> has moved upmarket in 2026. \u003C/p>\u003Cp>The headline product news is Genie, Databox's conversational AI analyst: ask a plain-language business question, get a clear answer with visual context and explanation in seconds. No SQL required, no dashboard-building needed first. \u003C/p>\u003Cp>Genie launched on Product Hunt in March 2026 and is available on the Growth plan and above. Custom Integrations also launched in May 2026, letting you connect any data source directly rather than waiting for a native connector to be built.\u003C/p>\u003Cp>Databox also has MCP support. \u003C/p>\u003Cp>You can connect it to Claude or ChatGPT to query your Databox marketing data from an AI assistant. As noted in the Whatagraph section, MCP is now table stakes across serious reporting tools. \u003C/p>\u003Cp>The differentiation is what the MCP connects to: Databox's connects to Databox's internal data layer; Whatagraph's connects to a governed cross-channel foundation with custom blends and dimensions already built in.\u003C/p>\u003Cp>The benchmark groups remain a standout differentiator for performance marketers: browse industry benchmarks to see whether your Google Ads CTR or Facebook Ads ROAS is above or below the industry average. \u003C/p>\u003Cp>Forecast modeling, OKR tracking, and automated reporting with Slack and email notifications are also available on higher plans. A recent update addressed previous data blending limitations: you can now merge multiple datasets using formulas to create custom columns.\u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong> \u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e90de95ef4578a9cb9d3a6cce05fa8f04\">120+ integrations including Google Analytics, Google Ads, Meta, LinkedIn, HubSpot, Salesforce CRM, and Google Sheets\u003C/li>\u003Cli data-list-item-id=\"ebaa2a664378b5a8c6b27d1311b3a2527\">Genie AI analyst for conversational plain-language Q&A\u003C/li>\u003Cli data-list-item-id=\"edea8500be2578c5a77c55c2d7cac5e50\">MCP support for Claude and ChatGPT\u003C/li>\u003Cli data-list-item-id=\"e69a98651229e5ed3b0cfe647c695c9e3\">Forecast modeling and OKR/goal tracking\u003C/li>\u003Cli data-list-item-id=\"e4aea24bd6f92191f948901774d9d4b6a\">Industry benchmark groups\u003C/li>\u003Cli data-list-item-id=\"ee96dd9ea55c047093ab9d2d471f2cf0f\">Dataset merging with custom columns\u003C/li>\u003Cli data-list-item-id=\"e092988d7e7aa437e6e656456ea3c626d\">AI performance summaries\u003C/li>\u003Cli data-list-item-id=\"e22002924d02b1dd3647911599302dc55\">Slack and email notifications and scheduled reports\u003C/li>\u003Cli data-list-item-id=\"e9ab9d9257b4063ec3ba57a4106b2ffe4\">Excel and spreadsheet import\u003C/li>\u003Cli data-list-item-id=\"e1e93b48e64bea75f56df6572b2e1c7e4\">Unlimited users on all paid plans\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Databox Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>“Pretty easy to follow your nose without prior experience with data.” (\u003Ca href=\"https://www.g2.com/products/databox-databox/reviews/databox-review-11756015\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>)\u003C/p>\u003Cp>“After 2 years of trying, we were never able to fully launch Databox with our clients because there is always another issue with Databox.” (\u003Ca href=\"https://www.g2.com/products/databox-databox/reviews/databox-review-9826095\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>)\u003C/p>\u003Cp>\"the only thing that I would like Databox to improve is the speed.\" (\u003Ca href=\"https://www.g2.com/products/databox-databox/reviews/databox-review-11243751\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>)\u003C/p>\u003Cp>\u003Cstrong>Databox pricing 2026\u003C/strong>\u003C/p>\u003Cp>\u003Ci>Billed annually, unlimited users on all paid plans, 14-day free trial of Growth plan:\u003C/i>\u003C/p>\u003Cp>Databox has two pricing tracks: Plans for Businesses and Plans for Agencies.\u003C/p>\u003Cp>\u003Cstrong>Plans for Businesses:\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e1c16379a134423288b2c8b3ab666fa41\">\u003Cstrong>Free:\u003C/strong> 3 data sources, 1 dashboard, 3 users, 10 custom metrics, daily data sync, MCP\u003C/li>\u003Cli data-list-item-id=\"e719624c4b36582b0cbaa6dd134d6c257\">\u003Cstrong>Pro:\u003C/strong> $159/month: 3 data sources included ($5.60/mo per additional), unlimited dashboards, users, and custom metrics, hourly sync, AI Analyst, reports, goals, professional onboarding, Spreadsheets (Excel)\u003C/li>\u003Cli data-list-item-id=\"e9cd2c2f01f07212ced1389740f57ab83\">\u003Cstrong>Growth:\u003C/strong> $399/month: everything in Pro plus datasets, raw data export and drilldown, data prep (merge, filter, calculate), AI performance summaries, forecast modeling, anomaly detection, databases and data warehouse connections\u003C/li>\u003Cli data-list-item-id=\"e1612728afcf16f9d82e4ab74d87adc5a\">\u003Cstrong>Premium:\u003C/strong> $799/month: 50 data sources included, everything in Growth plus add-ons bundled (white-labeling, OKRs, advanced security, 15-min sync, fiscal calendar, reporting specialist, priority support)\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Plans for Agencies:\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ea29ecdca20316f6e6ba77f77ee972479\">\u003Cstrong>Agency Starter:\u003C/strong> $79/month: 3 data sources ($2.40/mo per additional), 10 dashboards, 5 client accounts, unlimited users, hourly sync, scheduling and sharing, bulk operations, client performance overview\u003C/li>\u003Cli data-list-item-id=\"e105c2efd59dac3a93bb84481e39908b0\">\u003Cstrong>Agency Pro:\u003C/strong> $159/month: 3 data sources ($2.40/mo per additional), unlimited dashboards and client accounts, AI Analyst, reports, goals, media creatives, remove branding from dashboards, professional onboarding, Spreadsheets (Excel)\u003C/li>\u003Cli data-list-item-id=\"e2eed650ba6d0df46782cf9033315b253\">\u003Cstrong>Agency Growth:\u003C/strong> $399/month: everything in Agency Pro plus AI performance summaries, anomaly detection, datasets, raw data export and drilldown, data prep, forecast modeling, databases and data warehouse connections\u003C/li>\u003Cli data-list-item-id=\"e1ebef58082ff04d32fa1a7fb02024995\">\u003Cstrong>Agency Premium:\u003C/strong> $799/month: 50 data sources, everything in Growth plus add-ons bundled\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Available add-ons\u003C/strong> (billed annually): white-labeling $200/month; 15-min sync per source $14/month; dedicated reporting specialist $160/month; OKRs $160/month; advanced security management $80/month; fiscal calendar $40/month.\u003C/p>\u003Ch2>11. TapClicks\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Medium to large agencies, media companies, and brands with dedicated data teams who need an all-in-one marketing operations platform beyond just reporting.\u003C/p>\u003Cfigure class=\"media\">\u003Cdiv data-oembed-url=\"https://youtu.be/V_DwKgvpTgo?si=mdtTQHg7SVF-tUQK\">\u003Cdiv style=\"position: relative; padding-bottom: 100%; height: 0; padding-bottom: 56.2493%;\">\u003Ciframe src=\"https://www.youtube.com/embed/V_DwKgvpTgo\" style=\"position: absolute; width: 100%; height: 100%; top: 0; left: 0;\" frameborder=\"0\" allow=\"autoplay; encrypted-media\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen=\"\">\u003C/iframe>\u003C/div>\u003C/div>\u003C/figure>\u003Cp> \u003C/p>\u003Cp>\u003Ca href=\"https://whatagraph.com/blog/articles/tapclicks-alternatives-and-competitors\">TapClicks\u003C/a> describes itself as a Smart Marketing Cloud. \u003C/p>\u003Cp>Think of it less as a reporting tool and more as an enterprise marketing operations system: eight distinct products unified under one platform covering data management, dashboards, analytics, SEO tools, competitive intelligence, and workflow automation.\u003C/p>\u003Cp>In April 2026, TapClicks announced a major AI platform expansion: \u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e9240191c57694322674ec867dd37432b\">AI-powered widget creation that builds dashboard widgets from natural language prompts\u003C/li>\u003Cli data-list-item-id=\"e296bf56d6084ee29c6a65b50009c8622\">an AI Insights Agent that turns individual metric widgets into instant insights and recommendations\u003C/li>\u003Cli data-list-item-id=\"eddf722293057c62843c5d5dcd9b5285f\"> a Build-Your-Own Agent feature for custom analysis workflows\u003C/li>\u003C/ul>\u003Cp>SmartReports, launched in late 2025, now generates branded PowerPoint decks (SmartSlides) and AI-authored email summaries (SmartEmail) automatically on schedule. These replace the most manual parts of the client reporting workflow for digital marketing teams. A new Report Studio UI is rolling out across 2026, with a Sankey chart and improved navigation.\u003C/p>\u003Cp>TapClicks connects to 250+ data sources, stores marketing data in a managed data warehouse, exports to Snowflake, BigQuery, and Tableau, and includes TapSEO (rank tracking and SEO audits), TapSpy (competitive intelligence for PPC and social media), and TapWorkflow (task and approval management) in the bundle. \u003C/p>\u003Cp>For large agencies running complex multi-channel operations, that comprehensiveness has genuine value.\u003C/p>\u003Cp>The persistent pain points remain. User reviews note that connections break regularly, data inaccuracies surface in reports, and the platform is difficult to use even with extended CSM support and onboarding. \u003C/p>\u003Cp>The pricing model is complex: you budget for both a data plan and a reporting destination plan, and costs scale with client volume.\u003C/p>\u003Cp>\u003Cstrong>Key Features\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ee5f81bdb6c96df7a3d0eab330fbf44a5\">250+ integrations\u003C/li>\u003Cli data-list-item-id=\"ec169511dae8ea2562898c21eed649070\">TapData ETL and managed data warehouse\u003C/li>\u003Cli data-list-item-id=\"e0dc103b071bcb35d8548df772c0848a0\">SmartReports: AI-generated PowerPoint decks (SmartSlides) and email summaries (SmartEmail)\u003C/li>\u003Cli data-list-item-id=\"ed59c74cbb5ca3297b3530ffa4d0f3ea0\">AI Insights Agents and Build-Your-Own Agent\u003C/li>\u003Cli data-list-item-id=\"e4cc853831fe48d9a9b66a28dcf38e2d3\">SmartAnalytics dashboards with new 2026 Report Studio UI\u003C/li>\u003Cli data-list-item-id=\"e5ea0f112b79d7ff52aa3da6f5c4ea253\">TapInsights for benchmarking and goal pacing\u003C/li>\u003Cli data-list-item-id=\"e51f44ee0079630defb6d833fcef1e503\">TapSEO for rank tracking and SEO audits\u003C/li>\u003Cli data-list-item-id=\"e168d26bf5e1be29e53f2fe4b2bbd4457\">TapSpy for PPC and social media competitive intelligence\u003C/li>\u003Cli data-list-item-id=\"e28191f1f5171e3f17a8b8f245254d4e1\">TapWorkflow for task and approval management\u003C/li>\u003Cli data-list-item-id=\"ed12ea4f48a8071836fd4c7ce6186c950\">Data export to Snowflake, BigQuery, and Amazon S3\u003C/li>\u003Cli data-list-item-id=\"e35237b66af17a3244bc7d49bf26cdfd5\">White-label reporting and automated reporting workflows\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>TapClicks Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>“This is a very useful and good product. It's also so easy to use.” (\u003Ca href=\"https://www.g2.com/products/tapclicks/reviews/tapclicks-review-12113045\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>)\u003C/p>\u003Cp>“I dislike TapClicks because the initial setup can be a bit overwhelming, and sometimes the data syncing isn't as smooth as I'd like.” (\u003Ca href=\"https://www.g2.com/products/tapclicks/reviews/tapclicks-review-10390847\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>)\u003C/p>\u003Cp>“Some of the visualization options are limited.” (\u003Ca href=\"https://www.g2.com/products/tapclicks/reviews/tapclicks-review-11278545\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>)\u003C/p>\u003Cp>\u003Cstrong>TapClicks pricing\u003C/strong>\u003C/p>\u003Cp>As of March 2026, TapClicks does not publicly list fixed prices for its main enterprise/agency plans on its official pricing page. Instead, it uses a contact-sales or quote-based model, where pricing depends on your use case, data needs, and feature requirements.\u003C/p>","2024-10-31T13:42:39.649Z","2026-07-31T08:48:41.024Z","2026-07-31T08:48:41.222Z","2026-05-21","sgcrzs6uqk0fdtct924jdalb",{"id":1035,"name":1036,"alternativeText":1037,"caption":78,"width":561,"height":562,"formats":1038,"hash":1044,"ext":110,"mime":111,"size":1045,"url":1046,"previewUrl":78,"provider":95,"provider_metadata":78,"createdAt":1047,"updatedAt":1048,"documentId":1049,"publishedAt":98,"focalPoint":78},15595,"11 Best AgencyAnalytics Alternatives.png","Agency Analytics Alternatives - Five app icons on a blue background",{"thumbnail":1039},{"ext":110,"url":1040,"hash":1041,"mime":111,"name":1042,"path":78,"size":1043,"width":570,"height":571},"https://s3.us-east-2.amazonaws.com/whatagraph.com/thumbnail_11_Best_Agency_Analytics_Alternatives_f3bdaf58a6.png","thumbnail_11_Best_Agency_Analytics_Alternatives_f3bdaf58a6","thumbnail_11 Best AgencyAnalytics Alternatives.png",28.04,"11_Best_Agency_Analytics_Alternatives_f3bdaf58a6",1729.46,"https://s3.us-east-2.amazonaws.com/whatagraph.com/11_Best_Agency_Analytics_Alternatives_f3bdaf58a6.png","2025-10-06T13:23:49.502Z","2025-10-06T13:23:53.856Z","knhg5onpub3rvh4ii93jsvwq",{"id":986,"name":987,"about":988,"email":989,"createdAt":990,"updatedAt":991,"publishedAt":992,"slug":993,"linkedin_url":994,"documentId":995},{"id":1052,"metaTitle":1025,"metaDescription":1053,"addNoIndex":21,"canonicalURL":78},2947,"Looking for AgencyAnalytics alternatives? Compare features, read real reviews, and get pricing details for 11 tools. ",[],{"id":46,"title":698,"slug":699,"subheading":700,"createdAt":701,"updatedAt":702,"publishedAt":703,"documentId":704},{"id":942,"description":78,"title":1057},"AgencyAnalytics Alternatives FAQs",{"id":1059,"metaTitle":1060,"metaDescription":1061,"addNoIndex":78,"canonicalURL":78,"metaImage":1062},1719,"Get Better at Reporting & Marketing with our Blog","We help you get better at reporting, data transformation, analytics and marketing. Read our articles for detailed tutorials, case studies and product news. ",{"id":1063,"name":1064,"alternativeText":1065,"caption":78,"width":1066,"height":1067,"formats":1068,"hash":1075,"ext":110,"mime":111,"size":1076,"url":1077,"previewUrl":78,"provider":95,"provider_metadata":78,"createdAt":1078,"updatedAt":1079,"documentId":1080,"publishedAt":98,"focalPoint":78},13975,"Whatagraph Marketing Intelligence Platform.png","Whatagraph Marketing Intelligence Platform - Marketing analytics dashboard featuring KPIs, top performing ads and social media integrations.",2400,1256,{"thumbnail":1069},{"ext":110,"url":1070,"hash":1071,"mime":111,"name":1072,"path":78,"size":1073,"width":570,"height":1074},"https://s3.us-east-2.amazonaws.com/whatagraph.com/thumbnail_Whatagraph_Marketing_Intelligence_Platform_86776a3a18.png","thumbnail_Whatagraph_Marketing_Intelligence_Platform_86776a3a18","thumbnail_Whatagraph Marketing Intelligence Platform.png",27.05,128,"Whatagraph_Marketing_Intelligence_Platform_86776a3a18",1194.94,"https://s3.us-east-2.amazonaws.com/whatagraph.com/Whatagraph_Marketing_Intelligence_Platform_86776a3a18.png","2025-03-05T12:52:43.606Z","2025-03-05T12:52:50.251Z","elzyogdeqmz4dck9cjcu8ek0",1786726941633]