Supermetrics alternative with a blended ROAS dashboard built in

How much does Supermetrics cost?

Supermetrics publishes two priced tiers in US dollars plus a quoted Enterprise tier. Starter is $55 a month billed monthly or $44 billed yearly and includes one core destination, 3 data sources, 1 user, 3 accounts per source, weekly data refreshes, and 50,000 API and MCP rows a month. Growth is $222 or $177 yearly for 6 data sources, 2 users, daily refreshes, one custom data import config, and 250,000 rows. Pro is Supermetrics has retired the Pro tier that used to sit above Growth, so Growth is the last plan with a published price. Enterprise is quoted and adds all data sources, on-demand refreshes, transformations, warehousing, storage, and multiple teams.

The trial is 14 days with no credit card and there is no free plan. Two limits catch teams out: the data source count is per plan rather than unlimited, and the refresh frequency is tiered, so daily numbers mean Growth at minimum and anything faster is an Enterprise conversation.

What changed in Supermetrics for 2026?

The destination list did. Alongside Google Sheets, Looker Studio, Microsoft Excel, Power BI and Supermetrics Studio, Supermetrics now treats AI assistants as first-class core destinations: ChatGPT, Claude and Microsoft Copilot. You can point a data transfer at an assistant and query last week's spend in plain language instead of opening a spreadsheet.

Because those destinations are metered separately, every tier now carries a monthly AI credit allowance: 4,000 on Starter, 12,000 on Growth, and a custom allowance at Enterprise. Most published comparisons of Supermetrics predate this and still describe it purely as a spreadsheet connector, so check the date on anything you read about it.

The one-destination rule survived the change, and it is still the line that decides most bills. Every paid tier includes exactly one core destination, so adding an AI assistant next to your existing Looker Studio reporting is an extra or an upgrade rather than something included. Our full Supermetrics pricing breakdown works through both published tiers, the Data API and MCP row caps, and the paid extras.

Is Supermetrics worth it, or should you just buy a dashboard?

Supermetrics is worth it when the destination matters. If your reporting already lives in Google Sheets, Looker Studio, BigQuery, or a warehouse feeding Power BI, Supermetrics is one of the most reliable ways to get marketing data there, and the connector library is deep. You are buying delivery, not analysis.

The catch is that the metric you actually want, blended ROAS or blended CAC across every channel reconciled to real revenue, does not arrive with the data. Someone has to build it, and then maintain it every time a schema or a channel changes. If that build is the only reason you were buying a pipeline, a finished dashboard is cheaper in both money and hours. The full category picture is in our marketing reporting software pricing comparison.

What are the main Supermetrics alternatives?

For the same job, moving marketing data into a destination, the closest rivals are Funnel.io (from EUR 280 a month, far more connectors) and Improvado at the enterprise end. If your destination was going to be Looker Studio anyway, the Looker Studio route plus paid connectors is the cheap DIY path.

On price the sharpest alternative is Coupler.io, and the reason is structural. Supermetrics meters four things at once (destinations, data sources, accounts per source and user seats) while Coupler.io meters connected accounts only and puts all 437 of its sources on every plan. Two lines decide most comparisons: Supermetrics Growth at $177 a month includes two user seats, where Coupler.io gives unlimited users from $99, and Supermetrics places warehouse destinations such as BigQuery, Snowflake and Redshift on the Enterprise tier while Coupler.io treats them as ordinary destinations on a paid plan. Our dedicated Coupler.io vs Supermetrics page works both ladders through a real team, and we price all five connectors on Coupler.io vs Funnel.io vs Windsor.ai vs Supermetrics. Windsor.ai is the other cheap pipe worth pricing: it meters data sources only, $19 a month on annual billing for three of them with unlimited users, and our Windsor.ai vs Supermetrics comparison runs a three-person team through both.

The other comparison worth running is against a closed reporting platform rather than another pipe, because that is a genuinely different architecture: Supermetrics vs Whatagraph lays out every tier and add-on price side by side, including the point where the Supermetrics accounts-per-source ceiling stops being published and turns into an Enterprise conversation.

For the different job, getting the answer without building anything, MixedMetrics connects the same channels read-only and computes blended ROAS, blended CAC, MER, and LTV from $79 a month. If you want to see how the two categories compare head to head, our breakdown of Supermetrics versus Funnel.io works through the pricing and the fit.