Most Google Ads accounts are bleeding budget in places that are completely invisible without a structured audit. Broad match keywords with no negative lists. Conversion tracking firing on page views instead of purchases. Smart campaigns running on autopilot with zero audience exclusions. We see it constantly — across accounts spending £2,000 a month and accounts spending £200,000 a month.
This is the exact Google Ads account audit checklist we run at Workflow AI Advisors before making a single change to a new client's account. It covers the fifteen areas where wasted spend, attribution errors, and structural mistakes most commonly hide. Work through it in order — the early points inform everything that comes after.
Why a Structured Audit Beats Random Optimisation
The temptation when you inherit a struggling Google Ads account is to jump straight to the obvious problems — high CPCs, low Quality Scores, a Search Impression Share that's fallen off a cliff. But isolated fixes without a full picture almost always make things worse. You pause a keyword that looks expensive, not realising it was the one driving your best-converting traffic. You lower bids to control spend, not realising the real problem is conversion tracking duplication inflating your reported conversions.
A systematic audit prevents that. It gives you a baseline, surfaces the actual root causes, and creates an evidence base for every change you make. At Workflow AI Advisors, a comprehensive audit is non-negotiable for new paid media clients — it's where the real leverage lives.
The 15-Point Google Ads Account Audit Checklist
1. Conversion Tracking Verification
Start here. Always. If your conversion data is wrong, every decision downstream is wrong. Check that conversion actions are firing correctly using Google Tag Assistant or the Tag Diagnostics panel inside Google Ads. Look for duplicate conversions (the same action tracked via both a Google Ads tag and an imported GA4 goal), conversions counting page views instead of true actions, and any "No recent conversions" warnings. Also confirm that conversion values are being passed dynamically for e-commerce accounts — flat values are a Smart Bidding killer.
2. Campaign Goals and Bidding Strategy Alignment
Each campaign's bidding strategy should directly serve its stated objective. A brand awareness campaign running Target ROAS makes no sense. A lead generation campaign on Manual CPC when it has 80+ conversions a month is leaving Smart Bidding efficiency on the table. Map every campaign to its goal and confirm the bidding strategy is appropriate. Then check that Target CPA or Target ROAS values are set realistically — targets set too aggressively throttle impression share without the account manager realising why.
3. Account and Campaign Structure
Look at how campaigns are segmented. Are brand and non-brand terms separated? Are high-intent and low-intent keywords in the same ad groups competing for the same budget? Is there a logical separation between Search, Shopping, Display, and Performance Max? Accounts where everything is lumped into three or four broad campaigns are almost impossible to optimise, because you can't apply different budgets, bids, or audience signals without everything bleeding into each other.
4. Keyword Match Type Distribution
Pull the keyword report and look at the ratio of broad, phrase, and exact match terms. Since Google expanded broad match behaviour, accounts that relied heavily on phrase match have drifted further into irrelevant territory than their managers realise. Check that broad match keywords have strong Smart Bidding support AND a robust negative keyword list. If you're seeing broad match keywords with no negative coverage, that's a significant waste driver. Exact match terms should still anchor your highest-intent, highest-value traffic.
5. Search Term Report Analysis
Download the search term report for the last 90 days. Look at spend by search term, not just by keyword. You're hunting for three things: irrelevant queries consuming budget, competitor brand terms you're bidding on unintentionally, and high-performing search terms that aren't yet captured as exact or phrase match keywords. Sort by cost descending. The top 20 search terms by spend tell you most of what you need to know about whether the account is matching to the right intent.
6. Negative Keyword Coverage
Check the account-level, campaign-level, and ad group-level negative keyword lists. Are they populated at all? Many accounts have no account-level negatives whatsoever. Common gaps include competitor brand terms the client doesn't want to appear for, informational modifiers ("free", "how to", "DIY"), and geographic terms for locations the business doesn't serve. Negative keyword lists in a well-maintained account should be added to weekly, not monthly — and certainly not never.
7. Quality Score Diagnostics
Quality Score isn't a perfect metric, but low scores (4 and below) are a reliable signal of something structurally wrong — poor ad relevance, weak landing page experience, or low expected CTR. Export keyword-level Quality Score data and segment by component scores. Often, low landing page experience scores point to a disconnect between keyword intent and where traffic is being sent. That's a conversion rate problem and a cost problem simultaneously.
8. Ad Copy and Asset Coverage
Check that every active ad group has at least one Responsive Search Ad with an "Excellent" ad strength rating. Then review asset coverage — are all headline and description slots being used? Is ad personalisation enabled where appropriate? Look at asset performance labels within RSAs: headlines rated "Low" should be replaced. Also audit ad extensions (now called Assets): callouts, sitelinks, structured snippets, call assets, and price assets should all be configured and relevant, not copied from a template and forgotten.
9. Landing Page Relevance and Speed
Click through your ads manually — or use a tool like Screaming Frog and Google's PageSpeed Insights — to audit where traffic actually lands. Are product-specific campaigns sending users to category pages? Are mobile users hitting a landing page that loads in 8 seconds? Landing page issues are one of the most common sources of poor conversion rates in accounts where the ads themselves look fine. This is where our web design and CRO work at Workflow AI Advisors intersects directly with paid media performance.
10. Audience Segments and Exclusions
Check what audiences are applied to Search campaigns in observation mode. Are remarketing lists (RLSA) being used to apply bid adjustments for high-intent returning visitors? Are customer match lists uploaded and active? Equally important: what exclusions are in place? For B2B accounts, are you excluding consumer audiences? For e-commerce, are recent purchasers excluded from prospecting campaigns to avoid wasted retargeting spend? Most accounts do very little on the exclusion side.
11. Geographic and Device Performance Segmentation
Break down performance by geographic region and device type. In almost every account, there are locations consuming 15–20% of budget with a conversion rate half the account average — and no bid adjustments applied. Same with devices: mobile traffic often converts at a significantly lower rate for B2B and considered-purchase categories, but bids are identical across desktop and mobile. These adjustments alone can reduce wasted spend materially without touching a single keyword.
12. Budget Pacing and Impression Share Analysis
Pull Impression Share, Impression Share Lost to Budget, and Impression Share Lost to Rank for each campaign. A high "Lost to Budget" figure on a high-performing campaign means you're artificially capping your best-performing traffic. A high "Lost to Rank" figure means you're underbidding or your Quality Score is dragging down your ad rank. These two metrics together tell you whether to fix structure/quality or simply reallocate budget — and which campaigns deserve more investment.
13. Performance Max Campaign Audit
If the account runs Performance Max campaigns, they deserve a dedicated sub-audit. Check asset group organisation — are asset groups segmented by product category or audience theme, or is everything in one generic group? Review the Insights tab for the search themes PMax is targeting. Check that brand exclusions are applied (critical — PMax will cannibalise branded search traffic if unchecked). Verify that audience signals are populated with high-quality first-party data or Customer Match lists rather than generic interest categories.
14. Attribution Model Review
Check the attribution model applied to each conversion action. Many accounts still default to last-click, which systematically undervalues upper-funnel keywords and audiences. Data-driven attribution is generally preferable for accounts with sufficient conversion volume. Review the Model Comparison report to understand how much credit shifts between touchpoints under different models — this directly affects which campaigns Smart Bidding prioritises and which it deprioritises.
15. Account-Level Automation and Script Audit
Finally, check what automation is running in the background. Are there active scripts? Any automated rules? Third-party bid management tools with conflicting logic? We've seen accounts where three different bid automation systems were fighting each other, each making adjustments that the others then reversed. Also check the Recommendations tab history — has the account been auto-applying recommendations without human review? Auto-applied broad match expansions without corresponding negative keyword additions are a particularly common source of invisible budget waste.
What to Do With Your Audit Findings
Once you've worked through all fifteen points, prioritise your findings by impact, not ease. Fixing conversion tracking errors and structural issues always comes before optimising ad copy or testing new extensions. A clean foundation makes every subsequent optimisation more effective and more measurable.
At Workflow AI Advisors, accounts that go through this full audit process before active management typically see CPA reductions of 20–35% within the first 60 days — not because we do anything exotic, but because eliminating structural waste is the highest-leverage work in paid media. Our clients across the UK, US, Australia, and Singapore consistently tell us the audit phase produces insights their previous agencies never surfaced.
If you want to go deeper on the strategic layer of paid media — audience architecture, offer testing, and cross-channel attribution — explore our paid media services and SEO and GEO optimisation work, which we run alongside paid channels for compounding visibility across both paid and organic.
A Note on Frequency
A full 15-point audit should happen at account onboarding, after any major platform change (like a Google Ads interface update or the deprecation of a campaign type), and at minimum quarterly. Monthly spot-checks on conversion tracking, search term reports, and budget pacing are standard practice. The accounts that compound results year over year are the ones that treat auditing as an ongoing discipline, not a one-time event.
Frequently Asked Questions About Google Ads Account Audits
A thorough 15-point audit typically takes 4–8 hours for a single account, depending on complexity and the volume of historical data. Larger accounts with multiple campaigns across Search, Shopping, Display, and Performance Max can take up to 12 hours for a comprehensive review. Rushing an audit to save time usually means missing the structural issues that cost the most money.
Conversion tracking errors are the most common and the most damaging problem we find. This includes duplicate conversion counting, conversions firing on page views rather than purchases or form submissions, and missing dynamic conversion values in e-commerce accounts. When conversion data is inaccurate, Smart Bidding optimises toward the wrong signals — which compounds wasted spend across every campaign in the account.
Yes, always. Making changes to an account without a full audit is like adjusting dials on a machine you don't fully understand — you're as likely to make things worse as better. A structured audit establishes a performance baseline, identifies root causes rather than symptoms, and creates a prioritised action plan. It's the difference between systematic improvement and random intervention.
Performance Max requires focused attention on four areas: asset group structure and quality, audience signal strength, brand keyword exclusions, and the Insights tab data showing what search themes PMax is targeting. Because PMax has limited transparency by design, the audit should also compare PMax performance against legacy Search and Shopping campaigns to assess cannibalisation. Brand exclusion lists are particularly critical — without them, PMax will absorb branded search traffic and inflate its own reported conversion metrics.
A full structural audit should be conducted at onboarding, after any significant platform change, and at least once per quarter. Monthly spot-checks on conversion tracking integrity, search term reports, and budget pacing are standard for actively managed accounts. The accounts that perform best over 12–24 months treat auditing as a regular discipline rather than a reactive measure taken when performance drops.
Workflow AI Advisors engineers AI automation, paid media, SEO/GEO, and web infrastructure for global businesses. Based in London and New Delhi, we serve clients across the US, UK, Australia, Singapore, UAE, and Canada.
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