Analytics Integration Testing Checklist

Analytics data drives business decisions, so incorrect tracking is worse than no tracking at all. AI-generated analytics code often fires duplicate events, misses page views on client-side navigation, and sends incorrect properties. This checklist ensures your analytics data is accurate and complete.

Last updated: 2026-03-14

Page View Tracking

Page views fire on every page

Navigate to each page and verify that a page view event is recorded with the correct page path and title.

Client-side navigation triggers page views

Navigate between pages without full page reloads and verify page views are tracked for each navigation.

No duplicate page views on load

Load a page and verify only one page view event fires, not multiple due to component re-renders.

Virtual pages are tracked correctly

If your app has modals or multi-step flows that should count as page views, verify they are tracked appropriately.

Event Tracking

Key user actions trigger events

Perform important actions like sign-up, purchase, and feature usage and verify corresponding events are recorded.

Event properties contain correct data

Check that each event includes the right properties like amounts, item names, and category labels with accurate values.

Events fire at the right time

Verify events fire when actions complete successfully, not when the user initiates them before success is confirmed.

No events fire for bot or automated traffic

Verify that your analytics filters or code excludes known bot traffic from event tracking.

Event naming is consistent

Check that event names follow a consistent naming convention like snake_case or camelCase throughout the app.

User Identification

Logged-in users are identified correctly

Anonymous to identified user transition works

Browse anonymously, then log in, and verify previous anonymous events are linked to the identified user.

User properties are set correctly

Verify that user attributes like plan type, account age, and role are sent as user properties.

Logout clears user identification

Log out and verify subsequent events are not attributed to the previously logged-in user.

Data Quality

Analytics data matches actual app behavior

Compare event counts in analytics with actual actions in the app database to verify they align.

Development and production data are separated

Verify that test and development events do not pollute the production analytics data.

Ad blockers do not break the app

Enable an ad blocker and verify the app works normally even if analytics tracking is blocked.

Consent management works correctly

If your app requires analytics consent, verify tracking only begins after the user opts in.

Frequently Asked Questions

How do I verify analytics events are firing correctly?

Use your analytics platform's real-time or debug view. Google Analytics has DebugView, Mixpanel has live view, and most platforms offer similar tools. Also check the browser Network tab for outgoing analytics requests.

Should I track everything or just key events?

Track key events that inform business decisions: sign-ups, core feature usage, conversions, and errors. Over-tracking creates noise, increases costs, and may violate privacy regulations.

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