Google Ads Audit Checklist for Supplement Brands

Use this Google Ads audit checklist for a supplement brand from top to bottom: define the business question, verify the formula and label data, review health and performance claims, inspect query and audience intent, test the landing and shopping path, reconcile conversion and subscription events, then compare net revenue with refunds and margin. Each checkbox should point to evidence, an owner, and a retest.

This is a self-service educational checklist, not a claim that adz.so automatically audits a supplement account. Preserve exports, feed diagnostics, product and label captures, approval records, order and subscription data, refund reports, consent tests, and change history. Refer to Google Ads Help and current Google Ads policies for platform-specific questions.

1. Establish scope and evidence

[ ] Record the audit dates, markets, currencies, brands, formulas, product types, and campaigns.
[ ] State whether the decision concerns eligibility, delivery, acquisition cost, first order, renewal, or contribution margin.
[ ] List conversion actions, product sources, audiences, landing pages, stores, and offline systems in scope.
[ ] Export settings, change history, feed versions, inventory, order totals, subscription terms, refunds, and returns.
[ ] Assign a source, owner, priority, and proof condition to each material finding.

Keep purchase, sample, subscription start, renewal, cancellation, refund, return, exchange, and support actions separate. A platform conversion count is not automatically a count of customers, paid starts, or profitable orders.

2. Validate formulas, labels, and feeds

[ ] Sample capsules, powders, gummies, liquids, sachets, bundles, starter kits, samples, gifts, subscriptions, low-stock items, and discontinued products.
[ ] Match product ID, title, brand, form, flavor, count, serving size, active ingredients, allergens, images, price, sale price, inventory, shipping, and destination.
[ ] Confirm ingredient, dosage, directions, warnings, storage, expiration or batch information where published, and bundle contents match the label and page.
[ ] Test variant selection, cart, checkout, payment, and order identifiers.
[ ] Record diagnostics, disapprovals, warnings, item exclusions, automatic updates, regional sources, and data freshness.

Write the affected field and source beside every mismatch. A catalog item can be correct while a supplemental source or regional feed overwrites it later. Check current Shopping policies before marking an item eligible, restricted, or disapproved.

3. Inspect claims and audience boundaries

[ ] Read ads, assets, product pages, advertorials, quiz flows, reviews, and checkout terms together.
[ ] Flag diagnosis, treatment, cure, prevention, detox, guaranteed-result, guaranteed-weight-loss, and personal-outcome language.
[ ] Check “clinically proven,” “doctor recommended,” “safe,” “natural,” “clean,” “third-party tested,” and certification statements for evidence and scope.
[ ] Record the product, market, approval owner, proof source, date, exact wording, and permitted alternative for each material claim.
[ ] Confirm no audience or query rule infers a person’s disease, medication, pregnancy, age-sensitive condition, or health status.

The checklist can identify a claim needing review; it cannot replace a legal, medical, regulatory, or platform-policy decision. Keep personal data and health-related notes out of the ordinary audit worksheet.

4. Review campaign structure and query intent

[ ] Segment spend, clicks, conversions, and value by formula, product, ingredient theme, market, campaign, audience, query, and page.
[ ] Record budgets, bidding, locations, languages, devices, networks, product groups, exclusions, and change history.
[ ] Note label updates, promotions, stockouts, price changes, subscription changes, and fulfillment constraints.
[ ] Classify queries as brand, product, ingredient, dosage, use case, review, comparison, sale, subscription, education, symptom, medication, support, shipping, refund, wholesale, or irrelevant.
[ ] Check that each destination answers the query with factual product information and appropriate claim context.

Separate research from purchase intent and support from new-customer acquisition. A high-converting symptom query can still be the wrong path if the page, claim, or audience assumption is not appropriate.

5. Check returning-user and landing-page paths

[ ] Distinguish product viewers, cart visitors, purchasers, subscribers, canceled subscribers, and support visitors.
[ ] Review audience windows, exclusions, consent, message fit, and frequency controls where applicable.
[ ] Confirm the ad’s product, formula, variant, count, serving, price, offer, inventory, shipping, returns, and subscription terms match the page.
[ ] Test mobile and desktop rendering, pop-ups, quizzes, redirects, age gates, payment handoffs, and cancellation links.
[ ] Check that warnings, directions, support, and claim context are visible before conversion.

Use the Google Ads remarketing best practices page for related returning-visitor questions. Save the exact URL, market, item ID, capture date, observed state, expected state, and proof condition.

6. Test conversion, renewal, refund, and consent events

[ ] Test product view, selection, add to cart, checkout, purchase, subscription start, renewal, pause, cancellation, refund, return, exchange, and support.
[ ] Confirm each event fires once, with correct item, order ID, value, currency, and timestamp.
[ ] Check confirmation reloads, payment-provider redirects, cross-domain transitions, and subscription-management pages for duplicates.
[ ] Reconcile platform results with store orders, subscription records, refunds, returns, and approved offline stages.
[ ] Test consent granted, denied, changed, and withdrawn, including attribution windows, time zones, and imported conversions.

Keep first order, renewal, trial, paid start, new customer, repeat customer, gross value, and net value distinct. If records do not join reliably, preserve the gap as a finding rather than inventing a match or a value.

7. Review refunds and margin

[ ] Capture sample cost, shipping, discounts, payment fees, fulfillment, support, replacement, refund, return, chargeback, and subscription churn.
[ ] Compare reported value with net revenue and contribution margin by formula, bundle, first order, repeat order, subscription, market, and channel.
[ ] Look for high-volume products with high refund, return, support, replacement, or cancellation rates.
[ ] Check that renewal, cancellation, delivery, return, and support terms are visible before a subscription conversion.
[ ] Mark profitability unknown when required product cost, churn, return, or support data is missing.

Return on ad spend does not answer a margin question by itself. State which costs are included and which are absent.

8. Close findings with proof

For every failed item, capture account, campaign, formula, product, market, period, feed source, query, page, event, claim, subscription, refund, return, or change-history evidence. Add observed and expected behavior, impact, owner, priority, correction or test, proof condition, retest result, and remaining limitation.

Prioritize tracking and consent failures, claim and policy concerns, product or price mismatches, inventory and subscription errors, refund and margin gaps, misrouted intent, then campaign and creative tests. A checkbox passes only after the affected path has been retested.

Supplement audit handoff

End with a decision summary: what is proven, what must be corrected before scaling, what can be tested, and what is still unknown. This checklist is a repeatable review aid, not an automated adz.so audit or a promise that every setting described is implemented by the product. For deeper context, see how to audit Google Ads for supplement brands and retain the brand’s own labels, approvals, customer, fulfillment, and financial evidence.