Ad attribution reconciliation audit checklist and change log

Last updated: 2026-07-31

Written and reviewed by Seller Profit Guard Editorial Team.

A complete audit entry records platform, shop, report scope, model, click and view windows, timezone, maturity date, seller query version, mutually exclusive bucket counts, classification gap, retained and ambiguous results, seller-side exceptions, tolerance, declared conflicts, owner, reviewer, correction trigger, release evidence, and rollback identifier.

attribution audit record from platform rows through retained, excluded, ambiguous, and gap outcomes — This original diagram explains a reviewable reconciliation history with synthetic counts.

Record scope

Store platform, shop alias, campaign, product, market, currency, dates, and report basis. In the attribution audit record, record the count, unit, source version, rule version, evidence date, maturity state, reviewer, and declared uncertainty. Recompute from aggregate synthetic or authorized private evidence before formatting a count, rate, or decision.

Exclude personal identifiers. Topic 1 documents a supported packet, broken packet, correction path, and why the conclusion belongs to a reviewable reconciliation history rather than a cross-platform or causal performance claim.

Record rules

Store model, windows, precedence, timezone, source logic, duplicate logic, and effective dates. In the attribution audit record, record the count, unit, source version, rule version, evidence date, maturity state, reviewer, and declared uncertainty. Recompute from aggregate synthetic or authorized private evidence before formatting a count, rate, or decision.

Link official sources. Topic 2 documents a supported packet, broken packet, correction path, and why the conclusion belongs to a reviewable reconciliation history rather than a cross-platform or causal performance claim.

Record buckets

Store all seven mutually exclusive platform counts. In the attribution audit record, record the count, unit, source version, rule version, evidence date, maturity state, reviewer, and declared uncertainty. Recompute from aggregate synthetic or authorized private evidence before formatting a count, rate, or decision.

Verify their sum. Topic 3 documents a supported packet, broken packet, correction path, and why the conclusion belongs to a reviewable reconciliation history rather than a cross-platform or causal performance claim.

Record seller exceptions

Store unmatched seller count and private evidence pointer. In the attribution audit record, record the count, unit, source version, rule version, evidence date, maturity state, reviewer, and declared uncertainty. Recompute from aggregate synthetic or authorized private evidence before formatting a count, rate, or decision.

Do not publish order rows. Topic 4 documents a supported packet, broken packet, correction path, and why the conclusion belongs to a reviewable reconciliation history rather than a cross-platform or causal performance claim.

attribution audit record: record seller exceptions — This original diagram makes a reviewable reconciliation history reviewable.

Record outputs

Store gap, retained, excluded, ambiguous, match rate, and click/view mix. In the attribution audit record, record the count, unit, source version, rule version, evidence date, maturity state, reviewer, and declared uncertainty. Recompute from aggregate synthetic or authorized private evidence before formatting a count, rate, or decision.

Keep full precision. Topic 5 documents a supported packet, broken packet, correction path, and why the conclusion belongs to a reviewable reconciliation history rather than a cross-platform or causal performance claim.

Record verification and decision

List formula, content, similarity, SEO, browser, privacy, restore, and Block/Review/Ready evidence. In the attribution audit record, record the count, unit, source version, rule version, evidence date, maturity state, reviewer, and declared uncertainty. Recompute from aggregate synthetic or authorized private evidence before formatting a count, rate, or decision.

Name reviewers. Topic 6 documents a supported packet, broken packet, correction path, and why the conclusion belongs to a reviewable reconciliation history rather than a cross-platform or causal performance claim.

Record change and rollback

Preserve prior value, new value, reason, owner, observation window, correction threshold, and restore identifier. In the attribution audit record, record the count, unit, source version, rule version, evidence date, maturity state, reviewer, and declared uncertainty. Recompute from aggregate synthetic or authorized private evidence before formatting a count, rate, or decision.

Never delete prior defects. Topic 7 documents a supported packet, broken packet, correction path, and why the conclusion belongs to a reviewable reconciliation history rather than a cross-platform or causal performance claim.

Delayed measurement: ad attribution reconciliation audit template

Record indexability, impressions, clicks, engagement, tool states, and qualified intent at Day 0/7/14/28. Control 1 names the owner, review frequency, exception code, threshold, expiry trigger, correction condition, and prior restorable packet.

Do not call temporal movement causal proof. Apply it specifically to a reviewable reconciliation history; separate official platform rules, account settings, seller evidence, matching logic, and editable tolerance by authority.

Privacy and access: ad attribution reconciliation audit template

Use aggregate counts, synthetic fixtures, redacted pointers, access controls, and retention rules. Control 2 names the owner, review frequency, exception code, threshold, expiry trigger, correction condition, and prior restorable packet.

Exclude raw IDs, timestamps, exports, credentials, tokens, and OAuth. Apply it specifically to a reviewable reconciliation history; separate official platform rules, account settings, seller evidence, matching logic, and editable tolerance by authority.

Release and restoration: ad attribution reconciliation audit template

Require typecheck, unit, integration, build, content, similarity, SEO, images, browser, mobile, privacy, and rollback evidence. Control 3 names the owner, review frequency, exception code, threshold, expiry trigger, correction condition, and prior restorable packet.

Restore on formula, routing, privacy, accessibility, or health regression. Apply it specifically to a reviewable reconciliation history; separate official platform rules, account settings, seller evidence, matching logic, and editable tolerance by authority.

attribution audit record: release and restoration: ad attribution reconciliation audit template — This original diagram makes a reviewable reconciliation history reviewable.

Maturity and timing: ad attribution reconciliation audit template

Close platform reporting and seller adverse-outcome windows. Control 4 names the owner, review frequency, exception code, threshold, expiry trigger, correction condition, and prior restorable packet.

Keep provisional rows explicit. Apply it specifically to a reviewable reconciliation history; separate official platform rules, account settings, seller evidence, matching logic, and editable tolerance by authority.

Sensitivity and counterexample: ad attribution reconciliation audit template

Change one supported bucket while preserving the platform-row sum. Control 5 names the owner, review frequency, exception code, threshold, expiry trigger, correction condition, and prior restorable packet.

Retain failed and unfavorable fixtures. Apply it specifically to a reviewable reconciliation history; separate official platform rules, account settings, seller evidence, matching logic, and editable tolerance by authority.

Record scope: reconciliation drill

Recreate “Record scope” from a clean synthetic 100-row platform packet. Store platform, shop alias, campaign, product, market, currency, dates, and report basis. Change one mutually exclusive bucket, preserve the original packet, show the classification sum, and attach the expected Block, Review, or Ready state to the attribution audit record.

Exclude personal identifiers. Drill 1 includes click-led, view-led, above-tolerance, nonzero-gap, immature, and corrected cases. Explain which row class moved, which denominator stayed fixed, and what evidence permits the next action.

Record rules: reconciliation drill

Recreate “Record rules” from a clean synthetic 100-row platform packet. Store model, windows, precedence, timezone, source logic, duplicate logic, and effective dates. Change one mutually exclusive bucket, preserve the original packet, show the classification sum, and attach the expected Block, Review, or Ready state to the attribution audit record.

Link official sources. Drill 2 includes click-led, view-led, above-tolerance, nonzero-gap, immature, and corrected cases. Explain which row class moved, which denominator stayed fixed, and what evidence permits the next action.

Record buckets: reconciliation drill

Recreate “Record buckets” from a clean synthetic 100-row platform packet. Store all seven mutually exclusive platform counts. Change one mutually exclusive bucket, preserve the original packet, show the classification sum, and attach the expected Block, Review, or Ready state to the attribution audit record.

Verify their sum. Drill 3 includes click-led, view-led, above-tolerance, nonzero-gap, immature, and corrected cases. Explain which row class moved, which denominator stayed fixed, and what evidence permits the next action.

Record seller exceptions: reconciliation drill

Recreate “Record seller exceptions” from a clean synthetic 100-row platform packet. Store unmatched seller count and private evidence pointer. Change one mutually exclusive bucket, preserve the original packet, show the classification sum, and attach the expected Block, Review, or Ready state to the attribution audit record.

Do not publish order rows. Drill 4 includes click-led, view-led, above-tolerance, nonzero-gap, immature, and corrected cases. Explain which row class moved, which denominator stayed fixed, and what evidence permits the next action.

attribution audit record: record seller exceptions: reconciliation drill — This original diagram makes a reviewable reconciliation history reviewable.

Record outputs: reconciliation drill

Recreate “Record outputs” from a clean synthetic 100-row platform packet. Store gap, retained, excluded, ambiguous, match rate, and click/view mix. Change one mutually exclusive bucket, preserve the original packet, show the classification sum, and attach the expected Block, Review, or Ready state to the attribution audit record.

Keep full precision. Drill 5 includes click-led, view-led, above-tolerance, nonzero-gap, immature, and corrected cases. Explain which row class moved, which denominator stayed fixed, and what evidence permits the next action.

Record verification and decision: reconciliation drill

Recreate “Record verification and decision” from a clean synthetic 100-row platform packet. List formula, content, similarity, SEO, browser, privacy, restore, and Block/Review/Ready evidence. Change one mutually exclusive bucket, preserve the original packet, show the classification sum, and attach the expected Block, Review, or Ready state to the attribution audit record.

Name reviewers. Drill 6 includes click-led, view-led, above-tolerance, nonzero-gap, immature, and corrected cases. Explain which row class moved, which denominator stayed fixed, and what evidence permits the next action.

Record change and rollback: reconciliation drill

Recreate “Record change and rollback” from a clean synthetic 100-row platform packet. Preserve prior value, new value, reason, owner, observation window, correction threshold, and restore identifier. Change one mutually exclusive bucket, preserve the original packet, show the classification sum, and attach the expected Block, Review, or Ready state to the attribution audit record.

Never delete prior defects. Drill 7 includes click-led, view-led, above-tolerance, nonzero-gap, immature, and corrected cases. Explain which row class moved, which denominator stayed fixed, and what evidence permits the next action.

What a reviewable reconciliation history can and cannot prove

It can prove that entered aggregate counts follow the declared platform rows, mutually exclusive classes, seller exception direction, tolerance, timing, and evidence version.

It cannot prove incremental sales, causal media impact, correct budget, customer identity, fraud, contract compliance, accounting profit, liquidity, tax treatment, or future performance.

Block, review, release, and restore attribution audit record

Block invalid counts, nonzero gaps, private exposure, missing scope, or declared conflicts. Review valid packets above tolerance or before maturity. Ready means structure is complete and exceptions fit the dated tolerance.

Release only a reversible public model with synthetic defaults, explicit sources, original diagrams, accessible labels, canonical, schema, links, strict 404, correction policy, and rollback evidence.

Sources and further reading

Seller Profit Guard methodology: Evidence versions, reconciliation, privacy, correction, release, and rollback.
Seller Profit Guard data privacy: Local-first boundaries for buyer, order, advertising, payment, refund, and raw-record data.
TikTok Business Help: TikTok Shop Ads attribution: Reviewed July 31, 2026: official TikTok Shop Ads attribution policy context for Shop ID scope, 7-day click and 1-day view windows, click precedence, and report-date treatment.
Shopify Help: Marketing reports: Reviewed July 31, 2026: official attribution models, channel credit, report scope, and conversion context.
Etsy Help: How Etsy's Offsite Ads Work: Reviewed July 31, 2026: official 30-day click window and attributed-order context.

Related Seller Profit Guard tools

Ad Attribution Reconciliation Checker: Classify aggregate platform-attributed rows and seller exceptions.
Break-Even ROAS Calculator: Apply economics after attribution evidence reconciles.
Paid CPA Limit Calculator: Keep cost capacity separate from attribution classification.
Creator Sample Payback Calculator: Use mature reconciled orders for campaign recovery.
Payment Reconciliation: Reconcile settlements separately.
Methodology: Review evidence, privacy, correction, release, and rollback.
Data Privacy: Protect buyer, order, advertising, payment, and credential data.
Ad Attribution Reconciliation Formula and Inputs: Classify platform-attributed order rows into retained, excluded, ambiguous, and gap outcomes with aggregate seller evidence.
Ad Attribution Click Reconciliation Example: Follow 100 synthetic platform rows through click matches, view matches, exclusions, ambiguity, tolerance, and decision state.
Ad Attribution View Reconciliation: Reconcile view-through attributed orders with shorter windows, precedence, source conflicts, and stronger interpretation limits.
Ad Attribution Reconciliation Mistakes: Correct denominator, overlapping-bucket, window, timezone, refund, duplicate, source, report-date, and causal-claim errors.
Ad Attribution Reconciliation Data Sources: Map platform reports, order status, timestamps, source fields, windows, refunds, duplicates, and corrections to authorized evidence.
Safe Ad Attribution Reconciliation Thresholds: Set classification-gap, ambiguity, retained-rate, excluded-rate, maturity, correction, stop, and restoration controls for attribution evidence.
Click vs View Attribution Reconciliation: Compare click and view attribution at the same report grain while preserving window, precedence, maturity, and ambiguity differences.
Weekly Ad Attribution Reconciliation Routine: Run a repeatable cycle from platform report closure through seller matching, classification, correction, release, and rollback.
Interpret Ad Attribution Reconciliation: Read retained, excluded, ambiguous, gap, click/view mix, and seller exceptions without false precision or causal claims.

Next step: Open Seller Profit Guard.

This is operational planning help, not tax, accounting, legal, financial, or platform-policy advice. Review the Terms and disclaimer, and verify current platform rules and fee assumptions before changing prices.