Free Google Ads Audit for Supplement Brands

A free Google Ads audit for a supplement brand should connect the advertised formula and claim to the actual label, market, landing page, purchase, renewal, refund, and margin. Start with a defined sample and a saved evidence trail. Then review feed integrity, dosage and ingredient wording, health-related claims, query intent, consent, and customer economics.

This is a self-service educational checklist, not an automated audit result from adz.so. Gather exports from Google Ads and Merchant Center, product and label captures, approval records, store orders, subscription events, refunds, returns, and change history. Use Google Ads Help and current Google Ads policies as primary references when the review reaches a policy question.

Define the free-audit question

Write the period, markets, currencies, formulas, product types, campaigns, conversion actions, and business decision in scope. The decision might be whether a product can scale, why items are disapproved, whether traffic matches intended demand, whether subscriptions are measured, or whether reported revenue covers costs. Do not let “free audit” become permission to make a medical or profitability conclusion without evidence.

Preserve account settings, change history, feed versions, inventory, page state, order totals, subscription terms, consent behavior, and refund records. Record source and date beside every finding. If a source is unavailable, state what is unknown and what would close the gap.

Check formulas, labels, and catalog data

Sample capsules, powders, gummies, liquids, packs, bundles, starter kits, samples, gifts, subscriptions, low-stock items, and discontinued products. Compare product ID, title, brand, form, flavor, count, serving size, active ingredients, allergen information, images, price, sale price, inventory, shipping, and destination between catalog, page, cart, and order.

Use this quick review:

[ ] The product ID and selected variant remain stable through checkout.
[ ] Ingredient, count, serving, flavor, and dosage wording match the label and page.
[ ] Bundle contents and price match the ad and the fulfilled order.
[ ] Stock, region, shipping, tax, and subscription availability are current.
[ ] Merchant Center diagnostics, exclusions, warnings, disapprovals, and source freshness are recorded.

One correct sample does not prove a feed rule. Note the rule or source that produced each issue, the number or type of affected items, and the retest required after correction.

Review claims and approval evidence

Read ads, assets, product pages, advertorials, quiz flows, reviews, and checkout language together. Mark diagnosis, treatment, cure, prevention, detox, guaranteed result, guaranteed weight loss, performance guarantee, or personal-outcome language for review. Also check “clinically proven,” “doctor recommended,” “safe,” “natural,” “clean,” “third-party tested,” and certification wording for product, market, evidence, and date.

Keep a claim table with exact wording, product, page, market, evidence source, approval owner, review date, and safe alternative. Do not infer a person’s condition, medication, pregnancy, age, or health status from a search or audience interaction. A free audit can identify a claim that needs review; it cannot replace the responsible regulatory, legal, medical, or policy decision.

Review campaigns and query paths

Map spend, clicks, conversions, and value by formula, product, ingredient theme, market, campaign, audience, query, and landing page. Record budgets, bid strategy, locations, languages, devices, networks, product groups, exclusions, and edits. Note label changes, promotions, price changes, stockouts, subscription changes, and fulfillment limitations that may explain movement.

Classify queries as brand, product, ingredient, dosage, use case, review, comparison, sale, subscription, education, symptom, medication, support, shipping, refund, wholesale, or irrelevant. Separate research from purchase intent and support from new-customer acquisition. Check that the destination answers the query with factual product information without implying a personal diagnosis or recommendation.

For returning visitors, separate product viewers, cart visitors, purchasers, subscribers, canceled subscribers, and support visitors. Review audience windows, exclusions, consent, message fit, and frequency controls where applicable. The Google Ads remarketing best practices page covers a related returning-user review.

Verify the landing page and shopping path

Open the page from the actual ad on mobile and desktop. Check product, formula, variant, count, serving size, price, offer, inventory, shipping, returns, subscription renewal, cancellation, support, warnings, directions, and claim context. Look for a page that selects a different item, a free trial that becomes an undisclosed renewal, an advertorial that adds a diagnosis, or a checkout that changes the value.

Use current Shopping policies before concluding that a listing is eligible or in violation. Save the URL, market, capture date, product ID, observed state, expected state, owner, and proof condition. Do not store customer names, addresses, payment details, medication information, or health notes in the finding log.

Test events, consent, and lifecycle value

Follow view, selection, cart, checkout, purchase, subscription start, renewal, pause, cancellation, refund, return, exchange, and support. Confirm events fire once, carry the correct item and order ID, use the right value and currency, and do not duplicate on reloads or payment redirects. Compare browser and platform data with store orders and approved offline records.

Separate first order from renewal, trial from paid start, new customer from repeat, and gross from net value. Test consent granted, denied, changed, and withdrawn. Review attribution windows, time zones, imported stages, cross-domain handoffs, refunds, and returns. If the data cannot prove renewal or margin, do not present a modeled number as observed profit.

Compare reported revenue with costs

Record sample cost, shipping, discounts, payment fees, fulfillment, support, replacement, refund, return, chargeback, and subscription churn. Compare platform value with net sales and contribution margin by formula, bundle, first order, repeat order, subscription, market, and channel where reliable data exists. Flag products with high order volume but high refund or support cost.

If product cost, churn, return, or support data is missing, write “profitability unknown” and name the missing source. A useful free audit gives the owner a data request rather than pretending that return on ad spend answers a margin question.

Build the finding worksheet

Use one row per material issue and capture:

account, campaign, product, formula, ingredient, market, query, page, and period;
feed item, event, claim, approval, subscription, refund, return, support, or change-history evidence;
observed and expected behavior;
impact on eligibility, spend, conversion quality, consent, policy, customer experience, or margin;
owner, priority, correction or controlled test, and proof condition; and
retest result and remaining limitation.

Prioritize tracking and consent defects, claim and policy concerns, product or price mismatches, stock and subscription errors, refund and margin gaps, misrouted intent, then campaign and creative tests. A finding is closed only after the affected path has been retested.

Finish with an honest handoff

Summarize what is proven, what should be corrected before scaling, what can be tested, and what remains unknown. This free audit can make an account review repeatable, but it does not claim that adz.so implements every supplement advertising setting. For the longer method, see how to audit Google Ads for supplement brands and keep the final decision tied to the brand’s actual labels, approvals, customers, fulfillment, and financial records.