Google Ads Audit Checklist: Find the First Leak

A Google Ads audit should establish whether the account buys relevant attention, records meaningful outcomes and gives bidding systems a trustworthy signal. It should not begin with isolated recommendations about ad strength or keyword counts.

This Google Ads audit checklist moves from business definition to measurement, traffic, message, landing page and automation. That order prevents downstream optimisation from masking an upstream problem.

Quick answer: Confirm what a qualified outcome means and whether it is tracked correctly. Then inspect search terms, campaign settings, account structure, ads, landing pages, lead quality, bidding and budget. Prioritise findings by wasted spend and missed qualified opportunities—not by how many platform recommendations are available.

1. Define the commercial goal and audit scope

Begin with the decision the account is supposed to support. “Generate leads” is too broad. Define the relevant product or service, acceptable audience, sales area, qualification rules, typical sales cycle and business outcome.

List the conversion stages available:

• enquiry submitted;
• valid contact;
• qualified lead;
• booked or attended conversation;
• opportunity;
• transaction or customer value.

Record the audit period and explain any seasonality, promotions, outages or major changes. Separate campaigns with different jobs—brand protection, non-brand acquisition, remarketing, ecommerce, demand creation or testing. Their results should not be interpreted against one blended expectation.

Finally, confirm access to Google Ads, analytics, tag management, landing pages and lead or sales data. An account-only audit can find media issues, but it cannot prove that a form reached the CRM or that sales accepted the lead.

2. Audit conversion tracking before performance

Test every primary conversion from the user action to the final system. Verify that the tag fires only after successful completion and that the action appears in Google Ads with the intended settings.

Review:

• conversion source and ownership;
• primary versus secondary status;
• counting method;
• value and currency;
• attribution model and window;
• duplicate native and imported actions;
• enhanced or offline conversion configuration where used;
• consent behaviour;
• transaction or lead identifiers;
• call-tracking rules;
• CRM receipt and outcome mapping.

Button clicks, form starts and page views can be useful diagnostics, but they rarely belong beside purchases or qualified leads as equal primary goals. If a thank-you page can be reloaded, use a reliable identifier or event design to reduce duplicate counting.

Do not call a tracking implementation accurate because a tag fired once in preview. Test success, failure, duplicate, mobile, consent and repeat-visit cases.

3. Review search terms, targeting and exclusions

Search campaigns should be audited at the query level. Export search terms with cost and outcomes, then classify them by meaning and commercial fit.

Use a PPC audit checklist for:

• relevant high-intent queries;
• early research queries;
• ambiguous terms;
• jobs, training, support or free-resource intent;
• existing-customer queries;
• unrelated meanings;
• brand and competitor themes;
• recurring negative-keyword patterns.

Inspect match types alongside search terms rather than assuming one match type is inherently safe or unsafe. Review negative lists for overblocking as well as gaps.

Then check location targeting, language, networks, audiences, schedules, devices and demographic exclusions where applicable. Settings should follow actual business eligibility. Avoid making exclusions from small samples when the audience could still be valuable.

4. Check campaign structure and message control

Account structure should make budget, intent, message and measurement controllable. It does not need to be fragmented into hundreds of small ad groups.

Look for:

• unrelated services sharing one campaign;
• brand and non-brand demand blended together;
• different countries, currencies or business constraints mixed without reason;
• ad groups containing incompatible intents;
• overlapping campaigns competing for the same traffic;
• asset groups or product groups too broad to interpret;
• labels and names that hide purpose;
• experiments with no documented hypothesis.

For each major theme, compare search intent, ad proposition and landing-page destination. Responsive assets should contain distinct, compatible messages rather than minor rewrites of the same line. Check final URLs, mobile URLs, tracking templates, sitelinks, callouts, images and other eligible assets for accuracy.

5. Audit landing pages and conversion paths

The landing page is part of the advertising system. Test its speed, mobile layout, message continuity, proof, form, confirmation and follow-up.

A lower form completion rate is not automatically worse if stronger qualification reduces wasted sales time. Evaluate accepted leads, not just completion volume.

6. Evaluate bidding, budgets and recommendations

Bidding strategy should match the conversion signal, available data and commercial goal. Review target settings, portfolio strategies, seasonality adjustments, conversion values and recent strategy changes.

Check whether campaigns are budget constrained and whether reallocations are justified by marginal qualified value. An average daily budget is a control input, not a guarantee of even daily spend. Forecasts and platform estimates are directional; use real account economics to set limits.

Review automated recommendations individually. Some may be useful; none should be applied solely because they raise an optimisation score. Ask:

1. What problem does this recommendation solve?
2. Does it preserve targeting and commercial constraints?
3. Which metric should change?
4. How will lead quality be checked?
5. Can the change be reversed or tested?

Avoid making several major bidding, targeting and creative changes at once unless the account is fundamentally broken and the trade-off is documented.

7. Connect spend to lead quality and prioritise fixes

Join campaign data with the deepest reliable sales stage. At minimum, compare spend, enquiries, valid contacts, qualified leads and opportunities by campaign. Where privacy, data volume and implementation allow, return eligible outcome data to the advertising platform.

Use this prioritisation model:

• Critical: false conversions, broken destinations, ineligible targeting, severe policy or billing risks.
• High: expensive irrelevant traffic, wrong primary goals, major message mismatch, missing lead feedback.
• Medium: structural changes that improve control, underused relevant assets, landing-page friction.
• Low: naming, minor housekeeping and recommendations without clear impact.

Every item in the Google Ads audit template should state the evidence, affected scope, expected mechanism, owner and verification method. “Optimise campaigns” is not an action.

If you want the audit to connect account mechanics with landing pages and lead quality, Growthjunction’s Google Ads audit and management service focuses on finding the first expensive leak rather than producing a generic recommendation list.