Funnel vs Supermetrics
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
The short answer
Editorial assessmentFunnel compared with Supermetrics
The most common head-to-head in this category. Supermetrics is the pragmatic choice for pulling ad data into Sheets, Looker Studio, or a warehouse, with per-connector pricing that is easier to predict and a lower entry point. Funnel's advantage is everything that happens between extraction and reporting: the shared schema, custom dimensions from naming rules, currency conversion, and definitions that propagate downstream. Teams that only need the rows moved should buy Supermetrics; teams that need the rows reconciled should look at Funnel.
Choose Funnel if
Larger agencies, in-house performance teams, and multi-market advertisers with many data sources and more than one downstream consumer of the numbers: the buyer who needs one governed definition of spend and revenue feeding a warehouse, a BI tool, and a client dashboard at the same time.
Choose Supermetrics if
Marketing agencies producing recurring client reports, in-house teams who live in Google Sheets or Looker Studio, and any business that wants marketing data in a warehouse without building and maintaining API connectors themselves.
Side by side
13 attributes| Attribute | Funnel | Supermetrics |
|---|---|---|
| Category | Reporting | Analytics |
| Starting price | About $300 per month on Starter, billed annually (14 days trial) | €49 per month (Starter), or €39 per month billed yearly (free plan available) |
| Pricing model | Two components: a plan fee that determines which connectors, destinations, and features you can use, plus Flexpoints, a usage meter consumed by the data sources you connect, the volume you pull, and the transformations you apply. Plans are quoted billed annually. Funnel Measure is a separate add-on requiring Business or Enterprise. | Subscription tiered by the number of connected data sources, accounts per source, user seats, and refresh frequency, with one core destination per self-serve plan and explicitly no data volume fees. |
| Free plan | No | None; the trial is the evaluation path. |
| Free trial | 14 days on the Starter plan, with unlimited Flexpoints during the trial | 14 days, no credit card required |
| Best for | Larger agencies, in-house performance teams, and multi-market advertisers with many data sources and more than one downstream consumer of the numbers: the buyer who needs one governed definition of spend and revenue feeding a warehouse, a BI tool, and a client dashboard at the same time. | Marketing agencies producing recurring client reports, in-house teams who live in Google Sheets or Looker Studio, and any business that wants marketing data in a warehouse without building and maintaining API connectors themselves. |
| Setup time | Connecting the first sources takes an afternoon, and historical data lands automatically. Building the semantic layer, the part that produces the actual value, typically takes two to six weeks depending on how many markets, currencies, and inconsistent naming conventions you are reconciling. | An hour for a first working report: authorise the sources, install the destination connector, define a query, and schedule the refresh. A full agency reporting template across a dozen clients is a week of design work, most of it in the destination rather than in Supermetrics. |
| Learning curve | Steep for anyone who has not worked with a data model before. The connector setup is easy; the rules engine, custom dimensions, and metric definitions reward someone who thinks in schemas, and reviewers frequently note that in-product guidance is thinner than the complexity warrants. | Low if you can already build a spreadsheet or a Looker Studio report, since the Supermetrics part is choosing metrics, dimensions, and date ranges. The real skill required is knowing which metric from which platform means what, and that is a marketing analytics skill rather than a product one. |
| Platforms | Web application, Cloud data warehouse destinations, BI tool connectors, Model Context Protocol server | Google Sheets add-on, Looker Studio connectors, Excel and Power BI connectors, Cloud data warehouse destinations, Web hub at hub.supermetrics.com |
| Compliance | GDPR, SOC 2 Type II, ISO 27001 | GDPR, SOC 2, ISO 27001, EU-based company and processing |
| Founded | 2014 | 2013 |
| Headquarters | Stockholm, Sweden | Helsinki, Finland |
| Ownership | Independent, venture-backed | Venture-backed; privately held and profitable |
Strengths and limitations
Funnel
Strengths
- The strongest data modeling layer in marketing reporting: business definitions, derived metrics, and dimension parsing live in one place and propagate to every destination.
- Connector breadth and maintenance quality, including historical backfill and re-fetching of restated platform figures rather than freezing whatever was true on pull day.
- Multi-currency handling that is a first-class feature rather than a spreadsheet workaround, which is decisive for multi-market advertisers.
- Vendor-neutral about presentation: the same modeled data feeds Sheets, Looker Studio, Power BI, Tableau, and a warehouse, so you are not locked into the vendor's charting.
Limitations
- The Flexpoints meter makes bills genuinely hard to forecast; users consistently report costs climbing well beyond the plan fee as sources and destinations accumulate.
- No free plan since early 2026, and only a 14-day trial with unlimited Flexpoints, which tests features but not what your real usage will cost.
- Entry pricing of roughly $300 per month billed annually puts it out of reach for small agencies that a cheaper client-reporting tool serves adequately.
- Enterprise pricing is quote-only, and Snowflake, SSO, SCIM, and audit logs all sit behind that unpublished number.
Supermetrics
Strengths
- The largest and best-maintained marketing connector library in the category, with the vendor fixing connectors when platforms change their APIs rather than leaving your report broken.
- No data volume fees on any package, so cost is decoupled from how much you spend on ads or how much traffic you get.
- Destination-agnostic by design, so you keep Sheets, Looker Studio, Power BI, or your warehouse rather than being pushed into another vendor's dashboard.
- Warehouse destinations and transformation tooling turn it into a genuine marketing data pipeline rather than just a reporting connector.
Limitations
- It does no attribution whatsoever: the numbers it delivers are each platform's self-reported claims, so double-counting flows straight through into your report unchallenged.
- Accounts-per-source allowances are the real constraint for agencies, and they are hit far sooner than the data source counts suggest.
- Seat counts are low at one, two, and three users, with additional seats costing €37 to €124 a month each.
- One core destination per self-serve plan means teams wanting both a spreadsheet and a BI dashboard need to check whether that is an add-on.
Pricing compared
Funnel
Two components: a plan fee that determines which connectors, destinations, and features you can use, plus Flexpoints, a usage meter consumed by the data sources you connect, the volume you pull, and the transformations you apply. Plans are quoted billed annually. Funnel Measure is a separate add-on requiring Business or Enterprise.
- StarterAbout $300
- BusinessAbout $600
- EnterpriseCustom quote
Funnel is priced as infrastructure, and it is worth infrastructure money only when the data problem is real: many sources, several currencies or markets, and more than one downstream consumer that must agree on the numbers. In that situation the semantic layer is genuinely difficult to replicate and cheaper tools do not attempt it. Below that threshold the value is poor. An agency with five clients on three platforms is paying enterprise plumbing rates for a job a connector tool plus a reporting front end does for a fraction of the price, and the Flexpoint meter adds cost variance that small firms tend to price badly. The honest test is whether anyone in your organization currently spends days reconciling marketing numbers by hand; if not, Funnel is over-specified for you.
Supermetrics
Subscription tiered by the number of connected data sources, accounts per source, user seats, and refresh frequency, with one core destination per self-serve plan and explicitly no data volume fees.
- Starter€49
- Growth€199
- Pro€499
- EnterpriseCustom
Judged against the labour it replaces, Supermetrics is easy to justify: €199 a month is a fraction of the cost of the two or three days a month an agency currently spends assembling reports by hand, and the maintained connectors mean nobody has to fix a broken API integration on a Sunday. The absence of data volume fees is a real structural advantage over dashboard tools that meter usage. What makes the pricing feel expensive is the allowance structure: low seat counts, one core destination, and accounts-per-source ceilings that agencies hit quickly, all of which push a genuinely small team from €49 to €199 faster than the tier list suggests. Price your actual account count before comparing against Databox, and be clear that you are buying plumbing rather than answers.
Editorial verdict on each
Funnel
Funnel is the most serious data-modeling product in marketing reporting, and it is priced accordingly. The semantic layer, currency handling, campaign-name parsing, and restatement-aware collection solve problems that cheaper tools in this category do not attempt, and the vendor-neutral export story means you can keep your existing dashboards and warehouse. It is also the least small-business-friendly tool here: the free plan is gone, list pricing starts near $300 per month billed annually, Enterprise is quote-only, and the Flexpoints meter makes forecasting the real bill genuinely difficult, which is the complaint that appears most often in customer reviews. Buy it when marketing numbers are reconciled by hand across many sources and markets and the reconciliation itself has become the bottleneck. If the requirement is client dashboards for a handful of accounts, look further down the price list and revisit Funnel when the data problem is real.
Read the full Funnel profileSupermetrics
Supermetrics is infrastructure, and the right way to judge it is by the labour it removes rather than the features it lists. If your team currently loses days each month exporting from Meta, Google, LinkedIn, and GA4 into a template, €199 a month buys those days back and hands connector maintenance to someone else, with no data volume fees so your bill does not grow with your ad spend. The connector library is the deepest in the category and the company is the most established, which matters when a platform changes an API on a Friday. Two things to be clear about before buying: this does no attribution at all, so it faithfully reproduces the double-counted conversion numbers the ad platforms report, and the allowance structure around accounts per source and seats will push a small agency from €49 to €199 faster than the price list implies. Buy it as plumbing, pair it with an attribution tool if you need answers rather than numbers, and compare it directly against Databox if what you actually want is a dashboard.
Read the full Supermetrics profileFunnel profile last reviewed 2026-08-23; Supermetrics last reviewed 2026-08-22. Pricing is compiled from public sources and can change without notice. See our methodology.