Google Ads Audit Checklist for Fashion E-commerce

Use this Google Ads audit checklist for fashion e-commerce to verify the path from catalog and collection data to an eligible, available variant, a functioning checkout, a single purchase event, and a value definition that accounts for discounts, returns, refunds, and margin. A useful checklist records evidence, owners, and unknowns instead of reducing a complex catalog to one score.

Set the period, regions, currencies, brands, collections, channels, campaigns, conversion definition, and financial basis before opening reports. Preserve account settings, change history, feed and catalog versions, landing-page state, and store totals. Check current Google Ads Help and Shopping policies when evaluating platform settings or product claims.

Run the checks in evidence order

Check consent and purchase tracking, feed eligibility, inventory, price and promotion, and landing-page function before drawing conclusions from campaign performance. Then review query and collection intent, structure, budget, economics, returns, and creative. Mark each item pass, issue, or unknown with its source.

The best Google Ads audit tools page is a related tooling reference. Tool output is evidence to inspect, not proof of profitability, policy approval, or a correct catalog.

Scope and financial definitions checklist

[ ] Is the audit period written down with time zone and collection, launch, sale, and replenishment dates?
[ ] Are regions, currencies, languages, brands, collections, channels, campaigns, and devices in scope?
[ ] Is the source of truth for orders, net sales, refunds, cancellations, returns, exchanges, and margin identified?
[ ] Are purchase, new-customer, repeat-order, contribution-margin, and value definitions documented?
[ ] Are discounts, shipping subsidy, fulfillment, payment costs, refunds, and returns handled consistently?
[ ] Are account settings, change history, catalog and feed versions, page state, and store totals preserved?

Mark missing information unknown. Do not turn a platform total or a missing finance field into a pass.

Consent and purchase-tracking checklist

[ ] Does the purchase event fire on the completed confirmation path?
[ ] Does it fire once per transaction with a stable, approved identifier?
[ ] Are value and currency aligned with the audit’s approved basis?
[ ] Do confirmation reloads, retries, back-button paths, and duplicate submits avoid a second purchase?
[ ] Are view, cart, checkout, purchase, refund, cancellation, exchange, and return stages distinct?
[ ] Are primary, secondary, imported, offline, or enhanced conversions documented?
[ ] Are attribution windows, time zones, currencies, consent states, and cross-domain behavior understood?
[ ] Have consent granted, denied, changed, and withdrawn states been tested?
[ ] Are names, addresses, payment details, and order contents kept out of unnecessary advertising payloads?
[ ] Are platform conversions reconciled with store orders for the same period and definition?

Investigate gaps before changing bids. Duplicate events, blocked consent, redirect failures, marketplace orders, canceled purchases, refunds, and attribution differences can imitate campaign problems.

Catalog, feed, and variant checklist

[ ] Are diagnostics, disapprovals, warnings, item exclusions, freshness, supplemental sources, and automatic updates reviewed?
[ ] Are product IDs stable across catalog, feed, store, page, checkout, and purchase event?
[ ] Do title, description, brand, category, color, size, material, pattern, image, and variant grouping match the product?
[ ] Do price, sale price, availability, shipping, link, market, and currency match the live page?
[ ] Are new arrivals, evergreen, clearance, preorder, low-stock, backorder, and unavailable states current?
[ ] Were products sampled across collections, sizes, colors, regions, currencies, and promotions?
[ ] Can the advertised size, color, and other variant choices actually be purchased?
[ ] Are regional, language, partner, marketplace, and catalog-to-feed delays understood?
[ ] Are product images and claims consistent with current Shopping policies?

Record the item or group, source and version, page result, expected result, impact, and owner. A stale item or empty collection is a finding even if the blended account metric looks healthy.

Campaign, collection, and budget checklist

[ ] Are campaigns mapped by channel, region, currency, brand, collection, product group, audience, and objective?
[ ] Are budgets and targets appropriate for launch, evergreen, clearance, stock, return rate, and conversion lag?
[ ] Are location, language, device, network, audience, and exclusion settings documented?
[ ] Are product groups with materially different economics or availability separated enough to review?
[ ] Are budget changes compared with launches, drops, sale dates, replenishment, stock, and fulfillment capacity?
[ ] Is change history checked for feed, campaign, asset, budget, target, conversion, and exclusion edits?
[ ] Are automatic recommendations distinguished from measured outcomes?
[ ] Are direct-store, marketplace, retail-partner, branded, generic, and returning-visitor paths understood?

Separate confirmed configuration defects from tests. Spending after an item sells out is a correction; a new target or creative needs a controlled decision.

Query and collection-intent checklist

[ ] Were queries grouped into brand, designer or label, collection, product, style, use, price, sale, competitor, location, support, wholesale, marketplace, inspiration, and irrelevant intent?
[ ] Does each major theme reach the right collection, product, or editorial page?
[ ] Are free, replica, counterfeit, pattern, tutorial, second-hand, order-status, returns, shipping, size-help, job, stylist, press, and partnership themes reviewed?
[ ] Are queries for unavailable products, sizes, markets, or dates identified?
[ ] Are exclusions tied to evidence and routed to another approved path where appropriate?
[ ] Are cost, clicks, conversion evidence, page, decision, owner, and reason recorded for material themes?

Do not exclude unfamiliar demand globally without checking whether another approved campaign or destination should handle it.

Ad, collection, and landing-page checklist

[ ] Do headlines, descriptions, images, prices, promotions, collection references, sitelinks, and pages agree?
[ ] Are “new,” “limited,” ethical, sustainable, performance, sale, delivery, and seasonal claims current and supported?
[ ] Does the page show the advertised product, variant, price, availability, shipping, returns, and size guidance?
[ ] Can a visitor select the advertised variant and complete checkout on mobile and desktop?
[ ] Does a collection filter contain purchasable items?
[ ] Are region, currency, language, delivery, and market promises correctly scoped?
[ ] Do pages remain current after feed, campaign, catalog, collection, or promotion changes?
[ ] Are canceled purchases and unavailable items excluded from inappropriate acquisition creative?

Review pages after catalog or promotion updates. A page that was correct when an ad was written may not be correct when it receives traffic.

Inventory, returns, and margin checklist

[ ] Are sales, discounts, shipping subsidy, fulfillment, payment costs, returns, exchanges, refunds, and margin considered?
[ ] Are products segmented by collection lifecycle, price status, promotion, and channel?
[ ] Are high-return sizes, fits, products, markets, and promotions visible where responsibly measurable?
[ ] Are low-stock, preorder, backorder, and unavailable variants protected from unsuitable spend?
[ ] Are reported values compared with the same net-sales and attribution definition?
[ ] Is high order volume checked against returns, refunds, exchanges, and support load?
[ ] Are launch dates, replenishment, fulfillment capacity, and sale end dates included in decisions?

If returns or margin are unavailable, mark profitability unknown. ROAS alone does not prove contribution.

Findings, tests, and handoff checklist

[ ] Does every finding say what was checked, what happened, what was expected, and where the evidence is?
[ ] Are defects separated from hypotheses and experiment ideas?
[ ] Are tracking, consent, feed, policy, stock, price, catalog, and destination defects prioritized first?
[ ] Does each correction have an owner and proof condition?
[ ] Does each test have a decision question, comparison, and success definition?
[ ] Are unresolved catalog, store, finance, privacy, marketplace, or platform questions listed as unknowns?
[ ] Was every claimed fix retested in the affected event, item, page, campaign, or report?

End with what is proven, what is broken, what is unknown, what should be corrected first, and what evidence will close the loop. Avoid a score that implies more certainty than the checks support.

Fashion e-commerce audit worksheet

Use one row per material finding with:

account, channel, campaign, collection, product group, region, and period;
catalog or feed item, query, page, event, or change-history source;
observed and expected behavior;
inventory, revenue, margin, return, policy, consent, or measurement impact;
correction or controlled test;
owner, priority, and proof condition; and
remaining limitation or assumption.

For returning-visitor logic, use the best Google Ads remarketing for fashion ecommerce page as a related reference. Keep the final audit anchored to the catalog, variants, collections, inventory, economics, and purchase path reviewed.