We automatically run a set of tests on your data once a day. If something is wrong (events, e-commerce, export to BigQuery, consent, UTM…), you will receive an email notification. You know that the measurements are correct — and your Google Ads / P-Max are not running blindly.
A minor change in the code, a missing event, or an export failure is enough to cause data to go missing. GA4 diverges from reality, e-commerce sales in reports plummet, P-Max loses conversion signals and starts “hunting” blindly.
Solution: Automatic data testing—every morning, we check key parts of the measurement, and if we find an error or anomaly, you will receive a clear email. Before it starts to hurt your budget.
Where do measurement errors come from?
- Human errors (developer/analyst)
renamed/duplicate events, missing parameters, incorrect currency, changes in GTM/GA4 without QA, incorrectly set conversions/events
- Technical errors and script conflicts
asynchronous loading and race conditions, library collisions, shadow DOM, blocking/incompatibility with cookie bar, CSP/CORS, deployment errors
- Changes in measurement technologies
new privacy policies, Consent Mode adjustments, changes in browsers (ITP/ETP), SDK/library versions, schema/limit changes (GA4/BigQuery)
- External influences
bots and scraping, measurement attacks (spam/ghost hits), in-app browsers, adblockers, non-standard proxy/VPN traffic
What exactly do we monitor (selection)
- GA4 events & e-commerce: presence of key events (page_view, view_item, add_to_cart, purchase), correct parameters, currency/price consistency.
- BigQuery export: table freshness, number of events compared to yesterday/7-day average, missing partition.
- Consent Mode & opt-in rate: sharp drops/steps, unexpected differences between consent dialog views vs. allow all.
- UTM & traffic sources: increase (not set), self-referrals, campaign breakdown, unexpected channels.
- Conversions for GAds/P-Max: changes in number/conversion value, shifts in attribution window, noticeable anomalies.
- Technical signals: anomalous jumps in bot traffic, unusually short sessions, atypical device/OS resolution.
And much more.
How it works (3 steps)
- Connect GA4 + BigQuery (read-only).
- Daily tests run automatically every morning.
- Email with results: overview of errors/anomalies found + recommendations for next steps.
Email example
I want to be at the release
Who already uses the tests?
