Google Ads Audit Checklist for Clothing Brands

Use a Google Ads audit checklist for a clothing brand to verify the full path from query or product impression to an available variant, a working checkout, a single purchase event, and a business result that accounts for discounts, returns, fulfillment, and margin. The checklist should produce evidence and owners, not a score that hides a broken feed or an unknown financial basis.

Set the period, markets, campaigns, collections, product groups, conversion definition, and margin assumptions before reviewing reports. Preserve the account settings, change history, feed version, landing-page state, and store totals. Check current Google Ads Help and Shopping policies when the audit touches a platform setting, feed requirement, or product-ad claim.

Use the checklist in evidence order

Start with defects that can invalidate later conclusions: consent and tracking, feed eligibility, product availability, price and promotion accuracy, and landing-page functionality. Then review intent, structure, budget, economics, and creative. Mark each item pass, issue, or unknown and attach the evidence source.

The best Google Ads audit tools page can help with tooling choices, but the result still depends on the account, feed, store, and finance evidence. Do not use a tool output as proof that the account is profitable or policy-compliant.

Scope and definitions checklist

[ ] Is the audit period written down, including time zone and any collection or sale dates?
[ ] Are the markets, languages, currencies, brands, categories, campaigns, and devices in scope?
[ ] Is the source of truth for orders, refunds, cancellations, returns, and net revenue identified?
[ ] Is the purchase, new-customer, repeat-customer, and contribution-margin definition documented?
[ ] Are gross sales, discounts, shipping, fulfillment, payment costs, returns, and refunds handled consistently?
[ ] Are account settings, change history, feed version, landing-page state, and store totals preserved?

If an item cannot be answered, mark it unknown and record what access or evidence is needed. Do not turn an undefined metric into a pass because the platform report contains a number.

Consent and tracking checklist

[ ] Does the purchase event fire on the completed confirmation path?
[ ] Does it fire once per transaction and use a stable, approved transaction identifier?
[ ] Are value and currency correct for the audit’s revenue definition?
[ ] Does a confirmation reload, back-button path, retry, or duplicate submit avoid a second purchase?
[ ] Are cart, checkout, purchase, refund, cancellation, and return stages distinct?
[ ] Are primary, secondary, imported, offline, or enhanced conversion actions documented?
[ ] Are attribution windows, time zones, cross-domain checkout, and currency conversion 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 a material gap before changing bids. Duplicate tags, blocked consent, checkout redirects, missing events, canceled orders, refunds, and attribution differences can look like campaign performance problems.

Product-feed and eligibility checklist

[ ] Are feed diagnostics, disapprovals, warnings, item exclusions, and feed freshness reviewed?
[ ] Are product IDs stable across feed, store, tracking, and landing pages?
[ ] Do title, description, brand, category, color, size, material, pattern, image, and variant fields describe the product?
[ ] Do price, sale price, availability, shipping, and link match the current page?
[ ] Are new collection, evergreen, clearance, preorder, backorder, low-stock, and unavailable states represented correctly?
[ ] Were representative products sampled across categories, sizes, colors, markets, and promotions?
[ ] Do the selected variants exist and remain purchasable after the ad click?
[ ] Are regional, language, supplemental, and automatic-update sources understood?
[ ] Are product claims and images consistent with current Shopping policies?

Record the item or product group, feed source and version, page result, expected result, impact, and owner. A disapproved or stale item is a finding even if the campaign’s blended ROAS looks good.

Campaign and budget checklist

[ ] Are campaigns mapped by channel, market, brand, collection, category, product group, audience, and objective?
[ ] Are budgets and targets appropriate for the products’ margins, stock, return rates, and conversion lag?
[ ] Are location, language, device, network, audience, and exclusion settings documented?
[ ] Are products with materially different economics combined in a way that hides performance?
[ ] Are budget changes compared with the collection calendar, sale dates, stock, and fulfillment capacity?
[ ] Is change history checked for campaigns, budgets, targets, assets, feeds, conversions, and exclusions?
[ ] Are automatic recommendations or changes identified without treating them as proven improvements?
[ ] Are branded, generic, competitor, Shopping, and remarketing roles understood?

Separate a confirmed configuration problem from a test opportunity. A campaign that spent after a collection sold out may require an operational correction; a campaign that might benefit from a different target needs an experiment and a proof condition.

Query and intent checklist

[ ] Were search terms or query themes grouped into brand, product, category, style, use, competitor, discount, location, support, wholesale, and irrelevant intent?
[ ] Does each major query theme reach a relevant product or collection page?
[ ] Were free, replica, counterfeit, pattern, tutorial, second-hand, job, model, influencer, and partnership themes reviewed?
[ ] Were order-status, returns, shipping, size-help, and other support queries separated from acquisition?
[ ] Were negative keywords or exclusions tied to evidence rather than assumptions?
[ ] Were cost, clicks, conversion evidence, page, decision, and reason recorded for material query themes?

A query can be irrelevant to one campaign but valuable in another approved path. Preserve that distinction before excluding it globally.

Ad and landing-page checklist

[ ] Do ad headlines, descriptions, images, prices, promotions, and collection references match the destination?
[ ] Are sale codes, “new,” “limited,” sustainability, delivery, and seasonal claims current and supported?
[ ] Does the page show the advertised product, color, size, fit, price, and stock state?
[ ] Can the visitor select the advertised variant and complete checkout on mobile and desktop?
[ ] Are shipping, returns, size guidance, payment, and support information visible?
[ ] Does a collection filter contain purchasable products?
[ ] Are local, market, language, currency, and delivery promises scoped correctly?
[ ] Does a completed or canceled purchase avoid an inappropriate acquisition message?

Review the page after a feed or promotion update, not only at the time an ad was written. A current product page is part of the ad’s evidence.

Economics, stock, and returns checklist

[ ] Are sales, discounts, shipping subsidy, fulfillment, payment costs, returns, exchanges, refunds, and margin considered?
[ ] Are products segmented by new collection, evergreen, clearance, full-price, promotional, and bundle status?
[ ] Are high-return sizes, fits, products, markets, and promotions visible in the analysis where the brand can measure them?
[ ] Are low-stock, preorder, backorder, and unavailable products prevented from receiving unsuitable spend?
[ ] Are campaign or product results compared using the same revenue and attribution definition?
[ ] Is a high order rate checked against return and refund behavior?
[ ] Are collection dates, replenishment, fulfillment capacity, and sale end dates reflected in decisions?

If margin or return information is unavailable, mark profitability unknown. ROAS alone does not prove that the account is contributing profit.

Findings and handoff checklist

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

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

Clothing-brand audit worksheet

Use one row per material finding with these fields:

area and account scope;
campaign, product group, market, query, event, page, or feed item;
observed and expected behavior;
revenue, margin, stock, return, policy, consent, or measurement impact;
recommended correction or controlled test;
owner, priority, and proof condition; and
remaining limitation or assumption.

For returning-visitor logic, the best Google Ads remarketing for clothing brands page is a related reference. Keep the final audit anchored to the account, products, variants, stock, economics, and purchase path actually reviewed.