Most Google Ads accounts are leaking money in places nobody’s looked at in months. Not because the person running them is careless, but because day-to-day account management rarely leaves room for a full step-back review. Budgets get approved, campaigns keep running, and small inefficiencies quietly compound – a broken conversion tag here, an outdated negative keyword list there.
This checklist is built the way an agency or in-house PPC manager would actually audit an account: structure first, then targeting, then creative, then tracking, then spend efficiency. Forty checks, organized into seven sections, with notes on what “good” and “bad” actually look like at each step.
What This Audit Actually Checks
A proper Google Ads audit isn’t just glancing at the dashboard and confirming campaigns are “active.” It’s a structured review across seven areas:
- Account structure and settings
- Campaign configuration
- Keywords and search terms
- Ad copy and creative
- Landing pages and conversion tracking
- Bidding and budget allocation
- Audiences and targeting
Skipping any one of these tends to leave blind spots. An account can have flawless keyword targeting and still waste 30% of spend because conversion tracking is double-counting purchases, or because the landing page loads in six seconds on mobile.
Why Bother Auditing at All
Google Ads accounts drift. Automated bidding shifts targeting over time, new competitors bid up your terms, seasonal search behavior changes, and features Google adds (broad match expansions, new audience signals, automatically created assets) get turned on by default and rarely get reviewed.
A client we’ve seen in agency work had a Performance Max campaign running alongside three legacy Search campaigns targeting overlapping keywords. Google’s system was essentially bidding against itself. Nobody noticed for four months because both campaigns were technically “performing.” The fix took twenty minutes; the overlap had cost roughly ₹40,000 (about $480) in wasted impression share over that period.
That’s the value of an audit – it’s not glamorous work, but it catches exactly this kind of thing.
How to Use This Checklist
Set aside 60-90 minutes for a mid-sized account (5-15 campaigns), longer for larger ones. Work through the sections in order rather than jumping around; structure and settings issues often explain problems you’d otherwise misdiagnose as keyword or bid issues.
Pull up these reports before starting:
- Change history (last 90 days)
- Search terms report (last 30-90 days)
- Auction insights for top campaigns
- Conversion tracking status page
Have a spreadsheet or the marketing KPI dashboard open to log findings as you go. Auditing without documenting is a good way to forget half of what you found by the time you sit down to fix it.
The 40-Point Google Ads Audit Checklist
Section 1: Account Structure and Settings (Points 1-6)
1. Account access and user permissions are current Remove access for former employees or agencies. This sounds basic, but it’s the single most overlooked security item in accounts we’ve reviewed.
2. Billing setup is correct and payment method is valid Confirm there’s no card expiring soon and that billing threshold settings match spend expectations.
3. Linked accounts are correctly connected Google Analytics, Google Merchant Center, and YouTube channels should all show as linked with the correct property, not an old GA3 property that no longer collects data.
4. Conversion goals are set at the account level correctly Check which conversion actions are marked “primary” vs “secondary” – this directly affects Smart Bidding.
5. Campaign naming convention is consistent and readable Inconsistent naming (some campaigns dated, some not, some with client codes, some without) makes reporting unreliable and slows down every future audit.
6. Unused or paused campaigns are archived, not left cluttering the account Old paused campaigns rarely cause active harm, but they make the account harder to navigate and easy to accidentally reactivate.
Section 2: Campaign Settings (Points 7-13)
7. Campaign type matches the actual goal A lead-gen business running Performance Max with no clear conversion signal is a common mismatch. Performance Max works best with strong first-party data and clean conversion tracking already in place – not as a replacement for that groundwork.
8. Location targeting is set correctly Check “Presence” vs “Presence or Interest” targeting. Many accounts default to targeting people merely interested in a location, which for a local service business means paying for clicks from people who don’t live there.
9. Language targeting matches the audience Overly broad language settings (all languages) can pull in irrelevant traffic in multilingual markets.
10. Ad scheduling reflects actual business hours or performance data If leads only convert during business hours, but ads run 24/7 at full bid, budget is going toward hours that historically underperform.
11. Device bid adjustments are based on data, not assumption Pull performance by device before assuming mobile underperforms. In several ecommerce accounts we’ve reviewed, mobile actually converts better once page speed is fixed – the bid adjustment was working against the account’s own data.
12. Campaign-level budgets match actual priority Compare budget allocation against which campaigns drive profitable conversions. It’s common to find the highest-budget campaign isn’t the highest-ROAS one.
13. Network settings exclude Display and Search Partners where appropriate Search campaigns often have “Search Partners” checked by default, pulling in lower-quality traffic outside Google’s own results page.
Section 3: Keywords and Search Terms (Points 14-19)
14. Match types align with campaign strategy An account running entirely on broad match without Smart Bidding maturity or strong negative lists tends to bleed spend on irrelevant queries.
15. Search terms report reviewed for irrelevant queries This is where most obvious waste hides. Go through the last 30-90 days and flag anything unrelated to your offer.
16. Negative keyword lists are applied and up to date Shared negative lists should be attached to every relevant campaign, not just the one where they were originally created.
17. Keyword overlap between campaigns is minimized When two campaigns target overlapping keywords, they compete against each other in the same auction. Use Auction Insights and the search terms report to spot this.
18. Keyword quality scores are reviewed for large or declining accounts Quality Score below 5 on high-volume keywords usually points to ad relevance or landing page experience issues, not just bid problems.
19. Search volume trends are checked against seasonality A keyword that performed well six months ago may have shifted in demand. Compare against Google Trends or your own historical data before assuming a keyword “stopped working.”
Section 4: Ads and Ad Copy (Points 20-25)
20. Each ad group has at least 2-3 active responsive search ads Single-ad ad groups give Google’s system nothing to test against.
21. Ad strength is checked, though not blindly optimized for “Excellent” ad strength doesn’t guarantee performance – it’s a content-completeness score, not a performance prediction. Still worth reviewing for obvious gaps.
22. Ad copy reflects current offers, pricing, and promotions Outdated pricing or expired promotions in live ads is a fast way to damage trust and increase bounce rate.
23. Headlines and descriptions include the keyword theme naturally Relevance between search query, ad copy, and landing page content directly affects Quality Score.
24. Ad extensions (assets) are fully utilized Sitelinks, callouts, structured snippets, and call assets all increase ad real estate and CTR. Missing assets is a quick, low-effort win in most accounts. If CTR looks lower than expected even with assets in place, this piece on why CTR might be low walks through the more common causes.
25. A/B testing is active, not abandoned Check if there’s a live experiment running or if testing stalled after the last “winning” ad was picked, months ago.
Section 5: Landing Pages and Conversion Tracking (Points 26-31)
26. Landing page matches ad promise exactly If the ad promotes “20% off,” the landing page should show that offer immediately, not require digging.
27. Page load speed is under 3 seconds on mobile Slower load times correlate directly with higher bounce rates on paid traffic, which is typically less patient than organic visitors.
28. Conversion tracking fires correctly and only once per action Use Tag Assistant or GA4 DebugView to confirm the tag fires on the actual thank-you page or confirmation event, not on every page load.
29. Primary conversion actions are set appropriately for bidding Too many conversion actions marked as “primary” (including micro-conversions like newsletter signups) can confuse Smart Bidding algorithms and dilute optimization toward the wrong goal.
30. Enhanced conversions or offline conversion imports are configured where relevant For businesses with a sales cycle beyond the initial form fill, offline conversion imports close the loop between ad spend and actual revenue.
31. UTM parameters are consistent across all campaigns Inconsistent UTM tagging makes it nearly impossible to reconcile Google Ads data with Google Analytics or a CRM. The UTM builder is useful here for standardizing naming before it becomes a bigger cleanup job later.
Section 6: Bidding and Budget (Points 32-36)
32. Bid strategy matches account maturity and conversion volume Smart Bidding strategies like Target ROAS typically need at least 15-30 conversions in the last 30 days to have enough data to optimize properly. Accounts below that threshold often see erratic performance under automated bidding.
33. Target CPA or Target ROAS values are realistic based on historical data Setting a Target ROAS higher than the account has ever achieved usually results in reduced impression volume, not improved efficiency. The ROAS calculator and break-even ROAS calculator are worth running side by side to check whether the target is grounded in actual margin, not just ambition.
34. Budget isn’t consistently capped (“limited by budget”) If high-performing campaigns show “Limited by budget” status, that’s often the fastest lever to pull for more conversions, assuming margins support it.
35. Wasted spend on non-converting search terms is quantified Add up spend on the last 90 days of search terms with zero conversions. This number is often larger than account owners expect, and it’s a useful figure for justifying budget reallocation.
36. CPA and CAC are checked against actual customer value, not just campaign goals A campaign can hit its Target CPA and still be unprofitable if the CAC exceeds customer lifetime value. This is easy to miss when everyone’s looking at Google Ads’ own dashboard in isolation.
Section 7: Audiences and Targeting (Points 37-40)
37. Remarketing audiences are active and appropriately sized An audience under 100 users typically won’t serve reliably due to Google’s minimum list size requirements.
38. Audience signals are set for Performance Max and broad match campaigns Without clear signals, these campaign types rely more heavily on Google’s own inference, which can drift from your actual customer profile over time.
39. Exclusion audiences are in place where relevant Existing customers, past converters, or current employees are commonly excluded from top-of-funnel campaigns to avoid wasting spend on people who’ve already converted.
40. Demographic and audience performance data is reviewed for exclusion opportunities Segments with consistently poor performance (certain age brackets, for example) are worth excluding or bidding down, if there’s enough data to be confident it’s not noise.
A Realistic Audit Scenario
Take a mid-sized ecommerce account spending ₹3,00,000 (~$3,600) a month across Search, Shopping, and Performance Max. On the surface, ROAS looks acceptable at 3.2x.
Running through this checklist turns up:
- Two Search campaigns targeting near-identical keyword sets (Section 2, point 12)
- 18% of the last 90 days’ spend went to search terms with zero conversions (Section 6, point 35)
- Enhanced conversions weren’t enabled, meaning iOS traffic was likely undercounted (Section 5, point 30)
- The Performance Max campaign had no audience signals set at all (Section 7, point 38)
None of these individually would tank the account. Together, they were likely suppressing true ROAS by close to a full point once conversion tracking gaps were factored in. Rerunning the numbers through the ROI calculator after fixing tracking showed the account was performing better than the dashboard had been reporting – the opposite problem of what the client assumed going in.
Common Mistakes Found During Audits
- Assuming Quality Score is the main lever. It matters, but chasing it in isolation while ignoring conversion tracking accuracy is backwards priority.
- Auditing keywords first. Structure and tracking issues distort keyword-level data, so fixing keywords before tracking often means redoing the work later.
- Treating Performance Max as a black box not worth reviewing. Audience signals, asset groups, and exclusion lists all still matter inside PMax campaigns.
- Confusing a high CTR with a healthy account. CTR and conversion rate answer different questions – a comparison of CTR vs CPC is a useful reminder that click volume alone doesn’t tell you about profitability.
- Never revisiting bid strategy after account maturity changes. A strategy that made sense with 10 conversions a month may be holding the account back once it’s generating 100.
How Often Should You Audit?
- Monthly: Search terms report, wasted spend check, budget pacing
- Quarterly: Full 40-point audit, bid strategy review, audience signal refresh
- After major changes: New website launch, pricing change, or a sudden performance drop – audit immediately rather than waiting for the next scheduled review
Agencies managing multiple accounts often build this cadence into a marketing budget planner so audit time gets allocated the same way ad spend does, rather than getting pushed aside when things get busy.
Tools That Speed Up the Audit Process
A handful of calculators make the numeric parts of this checklist faster to verify instead of doing the math manually:
- CTR Calculator – quickly verify whether click-through rates for flagged ad groups are actually below account average
- CPA Calculator – check cost per acquisition against targets set in Section 6
- ROAS Calculator – confirm campaign-level ROAS claims against actual spend and revenue
- UTM Builder – standardize tracking parameters flagged in point 31
None of these replace the manual review, but they cut down the time spent on side calculations while you’re working through the checklist.
Have a checklist item you think belongs on this list, or a tool suggestion that would help future audits? You can suggest a tool or browse the full tools directory for more calculators built for exactly this kind of account review.
Frequently Asked Questions
How long should a Google Ads audit take?
For a single account with 5-15 campaigns, 60-90 minutes is typical for someone experienced with the platform. Larger or messier accounts can take half a day.
Can I audit my own account, or do I need someone external?
You can audit your own account using this checklist. An external reviewer sometimes catches things faster simply because they’re not attached to past decisions, but that’s a nice-to-have, not a requirement.
How is a PPC audit different from a Google Ads audit?
They’re generally used interchangeably. “PPC audit checklist” sometimes implies a broader review across multiple platforms (Google, Microsoft Ads, social ads), while “Google Ads audit” or “AdWords audit” (the older name for the platform) refers specifically to the Google Ads account.
What’s a healthy wasted spend percentage to find in an audit?
Under 10% of spend going to zero-conversion search terms is fairly normal. Above 20% usually signals a match type or negative keyword gap worth fixing immediately.
Should I run this audit before or after switching to Smart Bidding?
Before. Smart Bidding performs best with clean conversion tracking and reasonable account structure already in place – switching bid strategies on top of unresolved tracking issues tends to just automate the existing problems faster.
