Free Google Ads Audit for Footwear Brands

A free Google Ads audit for a footwear brand should verify the shoe type, activity, size system, size, width, color, material, fit guidance, price, stock, delivery, and exchange terms from the ad through the order. Because fit-related returns can erase apparent efficiency, compare reported value with exchanges, refunds, repeat purchases, and margin.

This is a self-service educational review, not an automated adz.so audit. Gather account exports, catalog diagnostics, product and size-guide captures, inventory, orders, exchanges, returns, shipping costs, consent tests, and change history. Consult Google Ads Help and current Shopping policies for platform questions.

Define the free-audit scope

Record dates, markets, currencies, footwear categories, size systems, seasons, campaigns, pages, fulfillment, and conversion actions. State whether the question is eligibility, size or fit mismatch, seasonal delivery, acquisition, exchange rate, repeat purchase, or contribution margin. Keep purchases, exchanges, refunds, returns, replacements, warranties, customization, subscriptions, and support distinct.

Preserve settings, feed versions, page and size-guide state, inventory, change history, order totals, return records, shipping, and product costs. Note source and capture date beside every finding. If a claim, return rate, or cost cannot be proved, mark it unknown.

Check size, width, and product data

Sample running, training, hiking, work, formal, casual, children’s, safety, specialty, and seasonal shoes, plus socks, insoles, care products, bundles, gifts, clearance, and low-stock variants. Compare product ID, title, brand, shoe type, activity, size system, size, width, color, materials, feature, fit guidance, image, price, sale price, stock, shipping, and destination across feed, page, cart, and order.

Use this quick check:

[ ] Size system and conversion are clear for the advertised market.
[ ] Size, half size, width, color, and variant remain stable through checkout.
[ ] Materials, features, fit guidance, price, promotion, inventory, and delivery agree.
[ ] Size chart and returns or exchanges apply to the selected product.
[ ] Diagnostics, warnings, exclusions, regional sources, and freshness are recorded.

Pay attention to children’s sizing, country conversions, width labels, unisex names, left or right orientation, preorders, and customized items. Record the affected field and retest condition instead of writing only “product data issue.”

Review fit, comfort, and material claims

Read ads, assets, pages, size guides, care instructions, reviews, warranty language, and checkout copy together. Flag “prevents injury,” “eliminates pain,” guaranteed comfort, guaranteed performance, “orthopedic,” “waterproof,” “sustainable,” “recycled,” or certification wording that lacks current evidence, scope, product match, or date.

Keep a claim log with exact phrase, product, page, market, evidence or certification source, owner, review date, and permitted alternative. A free audit can identify a claim for product, safety, legal, or policy review; it cannot replace that review. Do not infer foot condition, injury, ability, age, or body attribute from a query or audience interaction.

Review campaign and customer intent

Group spend, clicks, conversions, and value by shoe type, activity, audience, size or width theme, brand, market, season, campaign, query, and page. Record budgets, bids, locations, languages, devices, networks, product groups, exclusions, and change history. Note sports seasons, work cycles, weather, holidays, launches, promotions, supplier changes, and delivery deadlines.

Classify queries as brand, shoe type, activity, size, width, fit, material, feature, comparison, review, price, sale, gift, care, support, shipping, return, wholesale, custom, and irrelevant. Separate fit research from purchase intent and wholesale, repair, custom, or support from new-customer acquisition.

For returning visitors, distinguish product viewers, size-guide visitors, cart visitors, purchasers, exchange visitors, repeat customers, and support visitors. Review audience windows, exclusions, consent, frequency controls where applicable, and message fit. See Google Ads remarketing best practices for related questions.

Verify landing, checkout, and measurement

Open pages from actual ads on mobile and desktop. Confirm shoe type, activity, size system, size, width, color, material, feature, price, offer, stock, delivery, shipping, care, warranty, returns, exchanges, and support. Test size-guide links, country selectors, variant selection, preorders, pop-ups, marketplaces, and payment handoffs.

Trace product view, size-guide interaction, selection, cart, checkout, purchase, customization, exchange, return, refund, replacement, warranty, subscription, and support. Confirm events fire once, use correct item, size, color, order ID, value, and currency, and do not duplicate on reload or payment redirects.

Reconcile platform data with orders, exchanges, returns, refunds, replacements, warranties, support, and approved offline stages. Separate first order from exchange, repeat order from renewal, and gross from net value. Test consent granted, denied, changed, and withdrawn; review attribution windows, time zones, imports, cross-domain flow, and currency.

Compare value with fit and return cost

Record product cost, packaging, shipping, duties, discounts, fitting or customization, exchange shipping, return processing, restocking, damage, warranty, support, and markdowns. Compare platform value with net sales and contribution margin by shoe type, size, width, product, bundle, first order, repeat order, market, and channel where reliable data exists.

Flag high-return sizes and widths, costly cross-border exchanges, products with high fit support, seasonal items needing markdowns, and offers whose free returns consume margin. If return or cost data is missing, write “profitability unknown.”

Build the action log

For each finding capture account, campaign, shoe type, activity, size, width, product, variant, market, query, page, feed item, event, exchange, return, warranty, claim, policy reference, cost, impact, owner, priority, correction or test, proof condition, retest date, and limitation.

Prioritize tracking and consent defects; size, width, material, price, stock, claim, and page mismatches; exchange, return, delivery, warranty, support, and margin gaps; misrouted fit research, custom, wholesale, or repair intent; then campaign and creative tests. Finish with what is proven, what should be corrected or paused, what can be tested, and what remains unknown.

For the longer method, see how to audit Google Ads for footwear brands. Keep the conclusion tied to the footwear brand’s real catalog, fit data, fulfillment, customer behavior, and economics.