Audit intermediate Works with: Any AI

Google Analytics and Business Records Reconciliation Audit

Table output

Check whether analytics counts match orders and leads.

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Reconcile analytics with business records. Weekly conversions in analytics and orders or leads in the business system for the same weeks, with time zones and definitions noted: [COMPARISON_DATA].

Make a weekly table of analytics conversions, business records, difference and percentage difference, and compute the average gap: 46 against 52 is a gap of 6, or 11.5 percent of records. Explain the direction each cause pushes: consent loss and blockers reduce analytics counts, while test orders and duplicate events increase them; refunds, time zones and delayed processing also matter. Propose three tests, such as placing a test order and tracing it, and a tolerance to agree with the owner.

Do not force the numbers to match; document the gap and its causes. Add a monthly note recording the gap so trends can be compared fairly. Platform menus, plans and policies change, so mark anything unconfirmed [VERIFY]. Keep the table to one row per week and put the cause hypotheses in a separate list. If I supplied fewer than eight weeks, say the average gap is only indicative.

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