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How to Audit a Google Ads Account in Under an Hour

By Ralph West  ·  August 14, 2026

This is for anyone who inherited a Google Ads account, took over from an agency, or hasn't looked under the hood in six months. The single most important decision is where you start: search terms first, not campaigns first. Everything else in this audit follows from that one call.

Decide this first

Start with the search terms report, not the campaign dashboard. Campaign-level numbers lie to you. A campaign can show a 3x ROAS while half its spend is going to garbage queries that a good negative keyword list would have killed months ago. I've seen a campaign look "profitable" at the top level while 40% of its budget went to terms with zero conversions over 90 days. You don't find that looking at campaign names and bid strategies. You find it in the actual words people typed.

Once you know how much waste is sitting in search terms, everything else in the audit tells you why it's there.

What to look for

Search terms with spend and no conversions

Pull the last 90 days. Sort by cost, descending. Any search term with more than one CPA's worth of spend and zero conversions is a candidate for a negative keyword. On a DTC brand I ran from $100K to $3M in revenue, we found $4,200 in a single quarter going to searches like "free [product category]" and "[competitor] jobs." Nobody had added negatives in over a year. That's real money, not a rounding error.

Do this math yourself: take total wasted spend on zero-conversion terms, divide by total account spend for the period. If that number is above 15%, you have a negative keyword problem, not a bidding problem. Fix the leak before you touch bids.

Match type distribution

Check what percentage of spend is on broad match versus phrase and exact. Broad match isn't automatically bad, Google's smart bidding has gotten better at using it well, but broad match with a low-data account and no strong negative list is a spend furnace. If broad match is over 60% of spend and conversion volume is under 50 conversions a month per campaign, the algorithm doesn't have enough signal to place broad match well. That combination is where I see the worst waste.

Conversion tracking accuracy

Before you judge any performance number, verify conversions are actually firing correctly. Cross-check Google Ads conversion counts against your CRM or backend order data for the same date range. I've seen accounts double-counting conversions because both a global site tag and a Google Ads tag were both firing on the same thank-you page. If Ads says 220 conversions for the month and your Shopify backend says 140, you're optimizing toward a number that isn't real. Everything downstream of a broken conversion count is noise.

Campaign and ad group structure age

Check the creation date on campaigns and ad groups. Structures older than 18 months without restructuring are almost always carrying dead weight: ad groups built around keywords nobody bids on anymore, product groups for discontinued SKUs, geo-targets set for a launch market you left two years ago. On the infrastructure project I marketed, a $10M media budget had line items still targeting a state we'd stopped operating in for eight months. Nobody had turned it off. It wasn't a huge dollar amount, but it was a symptom of nobody actually looking.

Device and placement performance

Break out performance by device. Mobile, desktop, tablet. It's common to find one device carrying the account's CPA while another is quietly bleeding. Also check if Display or Search Partners is switched on for a Search campaign by default, that's an easy 10-20% of spend going to inventory nobody asked for and nobody is monitoring.

Overlapping keywords across campaigns

If the same or similar keywords exist in multiple campaigns, you're making your own account compete against itself in the ad auction. This drives up your own CPCs. Use the keyword overlap report or just eyeball ad group names across campaigns for duplicates. This is more common than people think, especially in accounts built by multiple agencies over time, each adding their own campaign structure on top of the last one instead of consolidating.

What to ignore

Don't waste time on Quality Score as a standalone metric. It's a diagnostic signal, not a KPI, and chasing a "10" on every keyword doesn't move revenue. Focus on the CPC and CPA outcomes it influences, not the number itself.

Skip auction insights as a first-hour priority. It's interesting for competitive context but it won't tell you where your wasted dollars are today. Save it for a deeper strategic review, not the first pass.

Ignore ad strength ratings from Google ("Excellent," "Good," "Poor"). These are generic suggestions based on pattern-matching, not your actual audience response. I've seen "Poor" rated ads outperform "Excellent" rated ones on actual CTR and conversion rate. Don't let Google's UI tell you your creative is bad when your own data says otherwise.

Don't get pulled into recommendations tab busywork. Google's automated recommendations are written to increase your spend, not your efficiency. Applying all of them blindly is how accounts end up with bloated broad match and inflated budgets nobody approved.

Common mistakes

The most common mistake I see is people auditing by feeling instead of by data pull. They open the dashboard, scan the top-line ROAS number, decide it "looks fine," and move on. An hour-long audit only works if you actually pull the search terms report, the device breakdown, and the conversion cross-check. Skimming a dashboard is not an audit, it's a glance.

Second, people confuse a low CPA with an efficient account. A campaign can have a great CPA while still wasting 20% of its budget, because the winning keywords are subsidizing the losing ones and the blended average looks healthy. You have to look at spend distribution inside the campaign, not just the campaign-level output.

Third, and this is the one that costs the most money over time: nobody schedules the audit to repeat. A one-time cleanup gets undone in three months as new search terms accumulate, new products get added, and match types drift back toward broad. I put a recurring 45-minute audit on the calendar every month for every account I run. It's the same checklist, every time. That discipline is worth more than any one-time deep audit.

FAQ

How much wasted spend is normal in a Google Ads account?

In accounts that haven't been audited in six months or more, I typically find 10-25% of spend going to zero-conversion search terms, duplicate targeting, or misconfigured settings like Search Partners being on by default. Anything under 10% is a well-maintained account. Anything over 25% usually means nobody has looked at search terms in a long time, or the account was handed off between agencies without a proper cleanup.

How often should I audit a Google Ads account for wasted spend?

Monthly, at minimum, for accounts spending over $10K a month. Weekly for anything spending over $50K a month or running aggressive broad match. Waste compounds. A negative keyword list that's a month stale is a minor issue. One that's a year stale is thousands of dollars gone.

Do I need special tools to audit for wasted spend, or does the built-in reporting work?

The built-in reporting in Google Ads is enough for this hour-long audit. Search terms report, device segmentation, and the conversions column cover 90% of what you need. Third-party tools help with automation and alerts once you're managing multiple accounts, but they're not required to find the waste in the first place.

Practical takeaway: Pull the 90-day search terms report right now, sort by cost, and look at every term with spend and zero conversions. That single step, done honestly, will find more wasted money in the next 20 minutes than any dashboard review you've done all year.

RW

Ralph West

Marketing executive with 20+ years running growth for DTC, B2B, and enterprise. Managed a $10M budget on a $2.2B infrastructure build, scaled a DTC brand from $100K to $3M+, and now runs a daily AI agent stack for marketing operations. See the work.