Diagnostic answer
What should an AI Meta ad audit check?
A useful audit establishes scope and signal quality before diagnosing structure, creative, audience, budget and profitability. Each finding should carry evidence, uncertainty, estimated impact and a practical next step; a large check count alone does not prove coverage.
Published by the Bach.ai team · Editorial standards
What to check, in order
- Confirm account, date window, timezone, currency, permissions and freshness.
- Check tracking and delivery health so missing data is not misdiagnosed as poor performance.
- Inspect structure, creative, audience exposure, allocation and economics using comparable evidence.
- Rank supported findings without double-counting estimated waste. Leave unsupported findings inconclusive rather than inventing a number.
A worked example
Illustrative example, not a customer result. Two findings that refer to the same spend cannot simply be added into a larger recoverable total.
What this answer cannot establish
This guide cannot diagnose an account without its evidence, establish causal lift or guarantee savings. A valid zero is different from missing data. When inputs are incomplete, check permissions, collection status and the observation window before changing the account.
Your next step
Use the audit checklist. To see the product’s presentation with synthetic data, open the sample demo.
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