Google Ads guide

How to Audit Google Ads for Supplement Brands

Audit Google Ads for a supplement brand by connecting product and ingredient evidence to the exact claim, dosage, audience, market, landing page, order, subscription, refund, and margin that the account is optimizing toward. Check ordinary measurement and feed defects first, then examine health-related wording, age or audience boundaries, product suitability, and the approvals that support the advertising language.

Define the audit period, markets, formulas, product types, campaign objectives, conversion actions, and value definitions before opening blended reports. Preserve feed versions, product-page captures, account change history, order and refund data, subscription terms, and consent tests. Use current Google Ads Help and Google Ads policies when a platform or claim question needs authoritative confirmation.

Define the product and claim boundary

An audit can ask whether products are eligible, whether traffic matches intended product demand, whether a claim is supported in a market, whether tracking is reliable, or whether first-order and recurring economics work. Write one primary question and list adjacent questions so a conversion rate does not become an unsupported conclusion about safety, efficacy, or customer health.

Separate a factual product description from a disease, diagnosis, treatment, cure, prevention, or personal-outcome claim. Record the source, market, approval owner, evidence date, and exact wording for every material claim. If the available evidence does not support a conclusion, label the claim or profitability as unknown.

Audit formulas, labels, and feed integrity

Sample capsules, powders, gummies, liquids, sachets, bundles, starter packs, sample sizes, subscriptions, gifts, and discontinued or low-stock items. Compare product IDs, titles, brand, category, flavor, form, count, serving size, active ingredients, allergen statements, images, price, sale price, inventory, shipping, and destination between the feed and the page. Confirm a selected variant remains the one sent to the cart and order.

Compare the public label, ingredient panel, directions, warnings, storage information, expiration or batch information where published, and product page. Look for an ingredient or amount that differs between a feed title and the label, a bundle that omits one component, a serving statement that changes at checkout, or a product that is advertised after its stock or market availability changes. Review Merchant Center diagnostics, disapprovals, warnings, item exclusions, regional feeds, automatic updates, and data freshness.

Keep an evidence row for every mismatch: item ID, source, field, observed value, expected value, market, date, owner, and retest condition. An accurate sample does not prove an entire catalog rule is correct.

Review health, performance, and audience claims

Read ad copy, assets, product pages, advertorials, quiz flows, reviews, and checkout language as one claim system. Flag language that promises to diagnose, treat, cure, prevent, reverse, detox, guarantee weight loss, guarantee performance, or deliver a personal result. Also review “doctor recommended,” “clinically proven,” “all natural,” “safe,” “clean,” “third-party tested,” “vegan,” “non-GMO,” and certification language for scope, proof, market, and product match.

Do not infer a person’s illness, diagnosis, medication, pregnancy, age-sensitive condition, or health status from a query or audience interaction. A search for a symptom does not authorize an audience claim. Route legal, regulatory, medical, and platform-policy questions to the responsible owner, and link to the relevant policy rather than presenting this audit as legal advice.

Use a claim matrix with columns for exact wording, product, landing page, evidence, market, expiration or review date, approval status, and permitted alternative. A factual statement such as flavor, count, or ingredient presence still needs to match the item shown in the ad.

Map campaign and query intent

Group spend and value by product family, formula, ingredient theme, goal, market, campaign type, audience, query, and landing page. Record budgets, bid strategy, location settings, languages, devices, networks, product groups, exclusions, and change history. Note launches, promotions, stockouts, regulatory wording updates, label changes, price changes, and fulfillment constraints.

Classify search terms as brand, product, ingredient, dosage, use case, review, price, sale, subscription, comparison, education, symptom, medication, support, shipping, refund, employment, wholesale, or irrelevant. Separate research and education from purchase intent, and separate customer-service traffic from a new-customer conversion. Check that the destination answers the query without escalating a health-related inference.

For returning visitors, distinguish product viewers, cart visitors, purchasers, subscribers, canceled subscribers, and support visitors. Review audience windows, exclusions, frequency controls where applicable, consent basis, and the message shown to each state. The Google Ads remarketing best practices article can support this part of the review.

Check landing pages and shopping eligibility

Open representative pages on mobile and desktop from the actual ad, product result, and alternate market. Confirm product, variant, count, serving size, price, promotion, inventory, shipping, returns, subscription terms, cancellation, support, label information, warnings, and directions are visible and consistent. Check whether pop-ups, quizzes, redirects, or age gates change the offer or prevent the expected conversion path.

Common findings include:

  • an ad promises one flavor, formula, count, or serving amount while the page selects another;
  • a “free” sample, trial, or shipping offer hides a subscription or renewal term;
  • a product claim is visible in an ad but not supported or scoped on the landing page;
  • a product is eligible in the catalog but unavailable at checkout in the advertised market; and
  • an advertorial or quiz implies a diagnosis or personal recommendation that the product page does not establish.

Check current Shopping policies and advertising policies before labeling an item disapproved or compliant. Document the exact page and market state; policies and product information can change.

Verify purchase, renewal, and consent measurement

Trace product view, selection, add to cart, checkout, payment, purchase, subscription start, renewal, pause, cancellation, refund, return, exchange, and support. Check that events fire once, carry the correct item and order identifiers, use the right value and currency, and do not repeat on confirmation reload, payment-provider redirects, or subscription-management pages.

Reconcile platform data with store orders, subscription records, refunds, returns, customer service, and approved offline stages. Check first order versus renewal, trial versus paid start, new customer versus repeat customer, and gross versus net value. Review attribution windows, time zones, imported conversions, consent states, cross-domain flows, and currency conversion. If the join is incomplete, report the limitation instead of multiplying or discarding records without evidence.

Keep customer names, addresses, payment details, medication information, health-related notes, and other sensitive data out of ordinary audit notes. Test consent granted, denied, changed, and withdrawn and document only the behavior needed to prove the measurement path.

Compare revenue with refund and margin evidence

Supplement economics can be changed by samples, shipping, discounts, subscriptions, cancellations, refunds, returns, replacement orders, customer support, chargebacks, and fulfillment. Compare reported value with net revenue and contribution margin by formula, bundle, first order, repeat order, subscription, market, and channel where the business has reliable cost data.

Look for high reported return from products with high refund or support rates, trials that do not renew, subscriptions canceled after the first shipment, and bundles that have a different cost or fulfillment profile from individual items. Do not call a product profitable because platform revenue exceeds ad spend; include the relevant product and customer costs or mark the conclusion unknown.

Prioritize corrections and tests

Write each finding as evidence, not a hunch. Prioritize:

  1. missing, duplicate, consent-invalid, or incorrectly valued events;
  2. product, label, ingredient, dosage, price, inventory, landing-page, claim, and policy mismatches;
  3. refund, return, subscription, support, and margin reconciliation gaps;
  4. irrelevant, misrouted, or health-sensitive query and audience traffic;
  5. campaign, budget, bid, product-group, and exclusion decisions; and
  6. controlled offer, creative, landing-page, or merchandising experiments.

Assign an owner and proof condition to every correction. Retest the specific item, claim, page, event, audience, or campaign after the change. A new headline or bid target is a test unless the audit proves the prior configuration was defective.

Supplement-brand audit worksheet

Capture account, campaign, product, formula, ingredient, serving, claim, market, query, page, feed item, event, subscription, refund, return, support, cost, margin, consent, policy reference, and period in each material finding. Add observed behavior, expected behavior, evidence link, priority, owner, action, proof condition, retest date, and unresolved limitation.

Finish with four statements: what the account proves, what must be corrected before scaling, what can be tested safely, and what data is still missing. Use the best Google Ads audit tools page for evidence-collection ideas, but keep the final audit grounded in the supplement brand’s own product, approval, fulfillment, customer, and financial records.