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Your #1 Analytics for Ecommerce — Centralize Ecommerce data and create custom reports + metrics without coding. Try it free.

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Checks every day that your website and Android app still track visitors correctly: which GA4 or dataLayer event stopped arriving after a release, at which step, and what tools send before cookie consent. Nothing to install.
Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | polaranalytics.com | analyticsproof.com |
| Pricing | ||
| Company | Startup from France | Startup from the Czech Republic · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Polar Analytics yet.
Website and Android app tracking usually breaks quietly: a release changes the checkout, the purchase event still fires, but value or currency no longer arrives. Teams find out weeks later from a ROAS drop or a finance mismatch. How it works - Record a key journey once, such as product → cart →...
What each product offers, as listed by its team.


Possible disadvantages
Walkthroughs and reviews on video.
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Polar Analytics and AnalyticsProof.
AnalyticsProof's answer:
User journey tests are recorded once in a browser that runs on our servers, then replayed every day. Each step shows what the page pushed to the dataLayer next to what was sent to GA4 (and other tools), plus a cookie-banner check of what tools send before consent and after rejection. An MCP server lets AI assistants read results and set up checks.
AnalyticsProof's answer:
It checks the journeys that make money, such as cart and checkout, step by step, and says exactly which event or parameter stopped arriving after a release. Nothing is installed on the site. The same check runs on Android and smart-TV apps, which most tag-audit tools don't cover. Pricing starts with a free plan instead of an enterprise contract.
AnalyticsProof's answer:
Analytics leads, Head of Digital and e-commerce managers at companies that release often, and analytics/PPC agencies that look after tracking on many client websites.
AnalyticsProof's answer:
Built by Václav Ráš, a web analytics consultant who kept finding the same problem with clients: a release quietly breaks tracking and nobody notices for weeks. AnalyticsProof automates the check he used to do by hand in DevTools after every release.
Share your experience with using Polar Analytics and AnalyticsProof. For example, how are they different and which one is better?
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