Detect tracking gaps after a website release
Separate real performance changes from broken instrumentation.
The scenario
A checkout redesign is followed by a 40% analytics drop, while the payment ledger is steady.
The timing and stable ledger point to missing events rather than lower sales. Browser conditions can explain why only some purchases disappeared.
Apply it to your own work
Test successful and failed checkouts, consent states, and devices. Reconcile events to the ledger and note the affected dates in the scorecard.
What to watch for
Avoid backfilling analytics with personal data just to close a gap. Use documented aggregate estimates when appropriate.
Start with a known transaction
Use a permitted test order with a stable transaction ID. Record browser, device, consent choice, and checkout path. Verify whether the order reaches the ledger, whether the event appears once, and whether retries behave predictably.
If a particular payment path is missing, repair and validate it before changing campaigns. Mark the reporting window affected by the release. Use the ledger for known revenue and preserve the uncertainty in channel attribution.
Try a related tool
Find the share of eligible visits that completed a defined action. Count at most one conversion per visit for this calculation.
