How to Audit Your Google Ads Account in 30 Minutes
A fast, structured checklist to audit any Google Ads account in 30 minutes. Cover conversion tracking, budget allocation, wasted spend, Quality Score, and ad copy in one session.
Whether you have inherited a new client account, are taking over from another manager, or just want to sanity-check your own campaigns, a structured audit is the fastest way to find money-losing issues. The problem is that most audit frameworks take hours and produce 50-page reports no one reads. This 30-minute version focuses on the six checks that catch 90% of the money left on the table.
Grab a timer, open the Google Ads account, and work through each section in order. By the end, you will have a prioritized list of fixes ranked by financial impact. No fluff, no theoretical frameworks — just the checks that matter.
Minute 0-5: Conversion Tracking Health Check
Nothing else matters if conversion tracking is broken. Start here. Go to Tools & Settings > Conversions and check three things: (1) Are conversion actions recording data in the last 7 days? (2) Is the primary conversion action set correctly — the one Smart Bidding optimizes toward? (3) Are there duplicate or redundant conversion actions inflating your reported conversion volume?
- Check the 'Status' column — anything showing 'No recent conversions' or 'Tag inactive' needs immediate investigation
- Verify the primary conversion action matches your actual business goal (purchase, lead, call) — not a micro-conversion like page view
- Look for duplicate conversion actions that count the same event twice (common when both Google Ads tag and GA4 import are active)
- Confirm the attribution model is Data-Driven Attribution, not Last Click, for accurate Smart Bidding performance
- Test: complete a conversion yourself and verify it records within 24 hours
Minute 5-10: Budget Allocation Review
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Audit my account freeDaniel BenítezFounder of AdPredictor
Daniel Benítez ran paid media and demand generation at Product School, Hispasec and Fivestars before building AdPredictor. He started it because of what he kept seeing in real accounts every week: plenty of data and no clear decision. He writes about what can be checked inside an account, not about theory.
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