Free Google Ads Audit for Online Stores

A free Google Ads audit for an online store should trace product and variant data through the source catalog, feed, ad, page, cart, checkout, payment or marketplace handoff, order, fulfillment, refund, return, and support. It should reconcile channel definitions, discounts, currency, consent, and full commerce costs before calling a campaign efficient.

This is a self-service educational review, not an automated adz.so audit. Gather account exports, catalog diagnostics, product and checkout captures, channel and connector changes, inventory, direct and marketplace orders, subscriptions, refunds, returns, consent tests, and cost data. Consult Google Ads Help and current Shopping policies.

Define the free-audit scope

Record dates, markets, currencies, catalog, commerce platform, channels, fulfillment, campaigns, pages, and conversion actions. State whether the question is product eligibility, catalog accuracy, channel mismatch, checkout loss, acquisition, repeat purchase, subscriptions, or margin. Keep product view, cart, checkout, purchase, renewal, refund, return, exchange, marketplace order, and support distinct.

Preserve settings, source and feed versions, page state, inventory, channel changes, order totals, discounts, shipping, returns, subscriptions, and costs. Put source and capture date beside every finding. Mark a missing integration or profitability input unknown.

Check catalog and variant data

Sample core products, variants, bundles, gift cards, subscriptions, preorders, clearance, low-stock, discontinued, and recently changed items. Compare catalog and variant IDs, title, brand, category, options, SKU, barcode, image, description, price, sale price, inventory, shipping, tax, market, and destination across source, feed, page, cart, and order.

Use this quick review:

[ ] Stable product and variant IDs reach every important channel and order.
[ ] Titles, options, images, prices, inventory, market, shipping, and tax agree.
[ ] Deleted, draft, unavailable, and recently changed items are handled correctly.
[ ] Bundles, discounts, subscriptions, preorders, and channel prices match.
[ ] Diagnostics, warnings, exclusions, regional sources, and freshness are recorded.

Record source, timestamp, item ID, field, observed value, expected value, owner, and retest condition. A storefront page can be right while a feed or marketplace copy remains stale.

Review channels and customer intent

List commerce platform, feed connectors, marketplaces, social or shopping channels, payment providers, review and bundle systems, subscription tools, discount engines, shipping tools, consent tools, analytics tags, and checkout extensions. Map changes to product, cart, checkout, payment, order, refund, return, and support.

Group spend, clicks, conversions, and value by product, variant, collection, channel, market, currency, campaign, audience, query, discount, and subscription. Classify queries as brand, product, category, comparison, review, price, sale, discount, gift, subscription, support, order status, return, cancellation, wholesale, local, marketplace, or irrelevant. Separate support and status from acquisition.

For returning visitors, distinguish product viewers, cart visitors, checkout starters, purchasers, subscribers, canceled subscribers, marketplace customers, and support visitors. Check windows, exclusions, consent, message fit, and frequency controls where applicable. Use Google Ads remarketing best practices for related checks.

Verify pages, checkout, and events

Open pages from actual ads on mobile and desktop. Confirm product, variant, option, price, discount, currency, inventory, shipping, tax, delivery, subscription, renewal, cancellation, returns, warranty, support, and checkout terms. Test category and collection links, quick add, bundles, upsells, coupons, accelerated checkout, payment providers, marketplace handoffs, and customer accounts.

Trace product view, selection, cart, checkout, payment, purchase, subscription start, renewal, pause, cancellation, refund, return, exchange, marketplace order, and support. Confirm events fire once, use correct item and order IDs, value, currency, discount treatment, and timestamp, and do not duplicate across browser, server, app, marketplace, or payment paths.

Reconcile platform data with direct and marketplace orders, fulfillment, refunds, returns, subscriptions, discounts, cancellations, support, and approved offline stages. Test consent granted, denied, changed, and withdrawn. Record a measured explanation for count differences instead of silently changing definitions.

Compare reported value with commerce cost

Record product cost, shipping, fulfillment, payment fees, platform and marketplace fees, channel commissions, discounts, samples, duties, returns, refunds, replacements, support, subscriptions, chargebacks, and currency effects. Compare platform value with net sales and contribution margin by product, variant, collection, channel, market, first order, repeat order, subscription, discount, and marketplace where reliable data exists.

Flag high-value low-margin orders after fees, high-return products, subscriptions canceled after the first shipment, and markets where currency or shipping makes comparisons false. If product, fee, return, churn, or support data is missing, write “profitability unknown.”

Build the free-audit action log

For each finding capture account, campaign, product, variant, SKU, category, channel, market, currency, platform, query, page, feed item, event, order, subscription, discount, fulfillment, return, refund, marketplace, support, cost, fee, margin, consent, claim, policy reference, impact, owner, priority, correction or test, proof condition, retest date, and limitation.

Prioritize tracking and consent defects; product, variant, price, inventory, market, shipping, checkout, policy, and page mismatches; connector, discount, subscription, refund, return, support, and margin gaps; misrouted status, marketplace, wholesale, local, or irrelevant 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 online stores and keep the conclusion grounded in the store’s actual catalog, channels, checkout, customers, fulfillment, and economics.