Google Analytics 4 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
Both sides assessedGoogle Analytics 4 compared with Supermetrics
These are complements, not competitors: Supermetrics pulls GA4 alongside Google Ads, Meta, LinkedIn, and dozens of other sources into Sheets, Looker Studio, or a warehouse from €49 a month. If your problem is that GA4's interface is unreadable rather than that GA4 is wrong, Supermetrics is the fix, and you keep the free property underneath.
Supermetrics compared with Google Analytics 4
These are complements rather than alternatives. GA4 is free, irreplaceable for Google Ads conversion import, and unpleasant to read, and Supermetrics pulls its data into a spreadsheet or Looker Studio alongside every other channel. If your complaint about GA4 is the interface rather than the data, Supermetrics is a cheaper fix than replacing your analytics platform.
Choose Google Analytics 4 if
Any business that runs Google Ads and needs conversion import, audience remarketing, and data-driven attribution inside Google's own ecosystem, plus larger sites that want a free raw event export into BigQuery and have someone able to write the SQL.
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 | Google Analytics 4 | Supermetrics |
|---|---|---|
| Category | Analytics | Analytics |
| Starting price | $0 (free plan available) | €49 per month (Starter), or €39 per month billed yearly (free plan available) |
| Pricing model | Free at any traffic volume for the standard product, with usage limits rather than price tiers; the enterprise tier (Analytics 360) is quote-only and sold through Google Cloud sales. | 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 | The full standard product with no pageview or event volume charge, subject to 500 distinct event names per property, 50 custom dimensions, 50 custom metrics, 14-month maximum event-level retention, reporting sampling, and cardinality limits. | None; the trial is the evaluation path. |
| Free trial | Not applicable; the standard product is permanently free | 14 days, no credit card required |
| Best for | Any business that runs Google Ads and needs conversion import, audience remarketing, and data-driven attribution inside Google's own ecosystem, plus larger sites that want a free raw event export into BigQuery and have someone able to write the SQL. | 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 | Fifteen minutes for the base tag and enhanced measurement; days to weeks for a configuration you can trust, because key events, ecommerce parameters, custom dimensions, cross-domain settings, and consent mode all need deliberate work. | 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 | The steepest in this category by a wide margin. Standard reports are learnable in a session; Explore, attribution settings, and the event and parameter model genuinely take weeks, which is why a GA4 consulting industry exists. | 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 app, iOS and Android SDKs via Firebase, Google Tag Manager, Measurement Protocol (server-side), Looker Studio connector | Google Sheets add-on, Looker Studio connectors, Excel and Power BI connectors, Cloud data warehouse destinations, Web hub at hub.supermetrics.com |
| Compliance | GDPR (with consent required), CCPA, Google Consent Mode v2, Data Processing Terms and EU Standard Contractual Clauses | GDPR, SOC 2, ISO 27001, EU-based company and processing |
| Founded | 2005 | 2013 |
| Headquarters | Mountain View, California, United States | Helsinki, Finland |
| Ownership | Public company (Alphabet Inc., NASDAQ: GOOGL) | Venture-backed; privately held and profitable |
Strengths and limitations
Google Analytics 4
Strengths
- Free at unlimited traffic volume, which no privacy-first competitor can match once a site passes a few hundred thousand pageviews a month.
- The only analytics tool that can import conversions into Google Ads for bidding and export behavioural audiences for remarketing, which is decisive if paid search is a real channel.
- Data-driven attribution across Google and non-Google channels, plus behavioural and conversion modelling that partially recovers consent-declined traffic.
- Free raw event export to BigQuery gives genuinely unlimited retention and unsampled analysis for teams with SQL skills.
Limitations
- The interface is genuinely hostile to non-specialists; simple questions require Explore, and Explore requires understanding scope, cardinality, and dimension compatibility.
- Requires a cookie consent banner in the EU and UK, and the traffic that declines disappears into modelled estimates rather than being measured.
- Standard properties delete event-level data after 14 months, so year-over-year analysis in Explore breaks unless you run a BigQuery pipeline.
- Sampling, thresholding, and the (other) row on high-cardinality dimensions mean numbers are directional; GA4 will not reconcile line by line with your order database.
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
Google Analytics 4
Free at any traffic volume for the standard product, with usage limits rather than price tiers; the enterprise tier (Analytics 360) is quote-only and sold through Google Cloud sales.
- Google Analytics 4 (standard)$0
- Google Analytics 360Custom
Free is an unbeatable price for what GA4 does at the ad-integration layer, and no competitor at any price can import conversions into Google Ads or run Google's data-driven attribution. Judged purely as a dashboard, though, GA4 is expensive in the currency that actually constrains a small business, which is attention: the interface, the consent banner, the 14-month retention ceiling, and the sampling all cost hours or accuracy that a $19 tool would have given back. The rational allocation for most small businesses is to keep GA4 installed for the Google Ads link and pay a small amount for something readable to look at daily.
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
Google Analytics 4
GA4 is not a good product and it is still the right default for most small businesses, which is an uncomfortable thing to write. It is free at any volume, it is the only tool that can push conversions and audiences into Google Ads, and its data-driven attribution has no free equivalent. Against that: a hostile interface, a mandatory consent banner in Europe, a 14-month retention ceiling, sampling, and an attribution model list that got shorter rather than longer. Keep it if you spend money on Google Ads, because nothing else closes that loop. If you do not, install Plausible, Fathom, Simple Analytics, Pirsch, or Umami instead and enjoy getting your afternoons back.
Read the full Google Analytics 4 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 profileGoogle Analytics 4 profile last reviewed 2026-08-22; Supermetrics last reviewed 2026-08-22. Pricing is compiled from public sources and can change without notice. See our methodology.