How to Audit Amazon Ads Invalid Traffic

Start with a bounded question such as why one campaign's invalid click rate changed over a complete week, whether gross and valid measures reconcile, or whether a third-party ad server uses the same definition and time grain. Record the advertiser, marketplace, campaign type, campaign IDs, time zone, dates, report template, columns, filters, and download time. Do not begin by searching for fraud. The report is a platform accounting and transparency surface, and its rows must be interpreted within the definitions Amazon publishes.

Amazon defines invalid traffic broadly to include potentially fraudulent, involuntary, non-human, duplicate, or otherwise illegitimate activity. Its gross and invalid traffic report exposes gross impressions, invalid impressions, invalid impression rate, gross clicks, invalid clicks, and invalid click rate at campaign level with daily detail. Keep those fields distinct. Gross traffic is not billed valid traffic, an invalid rate is not a conversion rate, and a filtered event is not proof of a named person's intent.

Download the smallest report that answers the question and keep the original file unchanged. Store its hash, account, marketplace, report ID where available, date range, time zone, campaign filters, selected metrics, generation time, and investigator. Create a working copy for calculations. Normalize campaign IDs and dates before joining other data, and retain zero and blank values as distinct states. A missing row can reflect permissions, applicability, range limits, or a report defect; it should not be silently converted to zero.

Calculate rates only from the documented numerator and denominator and retain Amazon's published rate when it is present. Check whether a day is partial, whether the campaign was active, and whether the report includes the intended ad product. Amazon's current report documentation lists availability across Sponsored Products, Sponsored Brands, and Display users. Do not assume a sponsored-ads report and an Amazon DSP report share every column, filtration timing, or billing rule. Label the product and template on every derived table.

Amazon describes always-on traffic-quality systems that can filter activity before serving and invalidate residual activity afterward. That means a very recent interval can change. Set the audit's readiness rule from the report documentation for the campaign type and record when the window became eligible for review. If a metric is still inside its documented adjustment period, mark it provisional. Do not freeze a screenshot from the first hour and later compare it with finalized billing as if both represented the same processing state.

Compare complete days with consistent report generation timing. Separate ordinary variation from sustained anomalies by looking at the underlying gross and invalid counts, not only percentages. A small denominator can create a large rate movement with few events. Also check campaign status, supply mix, placements, budgets, creative changes, launches, and reporting migrations as separate contextual facts. None proves a cause, but each can explain why two intervals are not comparable and why the audit needs a narrower cohort.

Amazon says identified invalid traffic is excluded from applicable reports and invoices under its protection approach. Reconcile invoice charges to the platform's valid traffic basis using supported billing exports rather than multiplying invalid clicks by an average cost. Average cost is not proof of the price of filtered events, and a filtered event is not necessarily a billed event later refunded. If billing does not reconcile, preserve the exact campaign, day, currency, invoice, report, and formula before opening a support case.

Third-party verification can use different event times, identifiers, sampling, filtration rules, and scopes. Build a field map before comparing totals. Match advertiser, campaign, creative or placement where supported, date, time zone, event definition, and processing state. Record unmatched rows instead of forcing a join. A discrepancy is evidence for investigation, not evidence that either system is dishonest. Share only the minimum required data with approved vendors and avoid exposing account credentials, user-level data, or proprietary publisher lists.

Escalate when complete, like-for-like report evidence shows a persistent unexplained discrepancy or the required fields are unavailable. Include account and campaign identifiers, marketplace, dates, report template, generation time, original export hash, relevant rows, invoice references, comparison logic, screenshots stripped of unrelated data, and the specific question. Retain the support case ID and every platform response. Do not ask for a generalized fraud finding when the evidence supports only a reconciliation question.

Close the audit as reconciled, provisional pending filtration, definition mismatch, permissions or reporting gap, support case open, or confirmed platform correction. Track repeated issues by report version and campaign type without inventing monetary impact. If a deterministic configuration or export defect is found in an internal pipeline, repair it, rerun the same bounded window, and preserve both results. The useful control is a repeatable ledger that explains what was observed, which source defined it, and what remains unknown.