GOOGLE ADS AUDIT REPORT TEMPLATE: WHAT I CHECK FIRST, THE RED FLAGS, AND HOW I TURN IT INTO A PLAN

Before I take over any account, I run the same google ads audit report template end to end. Not because it looks professional on a call, though it does, but because inheriting an account blind is how you burn the first month firefighting problems you could have mapped in an afternoon. In my experience the audit is the single highest-leverage thing you do in a handover: it's the only moment you get to look at the whole account cold, before you've formed opinions and before anyone's expecting results.

The angle I want to give you here isn't a 60-point list you tick off. Plenty of those exist and most of them read the same. What I actually use is a template built around three questions: what do I check first, what red flags keep showing up, and how do I turn what I find into a plan someone can act on. That last part is where most audits fall down. They produce an impressive document full of problems and then die on a shelf, because a list of issues isn't a plan, and a client staring at 40 red rows doesn't know what to fix on Monday.

So I treat the template as a process with an output, not a form. It sits inside my broader Google Ads audit approach and feeds directly into the first two weeks of management. Everything below is how I run it on real accounts, in the order I run it, with the inferences I draw at each step rather than just the boxes I tick.

One framing I set before I open anything: the audit is a diagnostic, not the treatment. I document, I don't fix. The temptation to start flipping settings the moment you spot something broken is strong and it ruins the audit, because half-changed accounts give you a muddy read on everything downstream. I get in, map the account, and get out with a plan. The fixing comes after, in sequence, on purpose.

What actually goes in my google ads audit report

My google ads audit report is a scored sheet, not prose. Each row is a check; each check gets a status, an impact rating, an effort rating, and a note with the evidence. That structure is deliberate: it forces every finding to carry the two pieces of information I need to prioritise later, so the report half-writes the action plan as I go instead of leaving me to sort 40 loose observations at the end.

The sheet is grouped into the areas I audit in order: account settings and hygiene, conversion tracking and measurement, account structure, keywords and search terms, bidding and budget, ads and assets, audiences, and finally the automated layer, scripts, rules, and Performance Max signals. I keep the groups fixed from account to account precisely so a genuine problem stands out against a familiar shape rather than getting lost in a bespoke layout I rebuilt from scratch.

Two columns do the heavy lifting. Impact ranks how much a fix will move results, high, medium, or low. Effort ranks how hard it is to do, simple, neutral, or complex. Read together they tell me what to do first: high impact and simple effort is where I start every single time, because those are the wins that build trust before I ask a client to fund anything harder. This is the same skeleton as my audit checklist, just turned into a reporting layer with scoring on top.

Evidence, not assertions

Every red row needs a screenshot or a number next to it. I learned this the expensive way: "conversion tracking looks off" is an opinion a client can argue with, but a screenshot of a purchase action counting three times per order is a fact they can't. The evidence column is what turns the audit from my judgement into something the client can verify, and it's what makes the eventual recommendations land instead of feeling like a new agency trashing the old one.

What I check first, and why it's not the campaigns

Everyone wants to dive into campaigns and keywords because that's where the money visibly moves. I don't start there. The first thing I check is whether the account can even be trusted to tell me the truth, which means measurement comes before performance every time. If conversion tracking is wrong, every downstream number is fiction, and auditing campaign performance on top of broken tracking is auditing a lie in high resolution.

So the opening sequence is always the same. Account settings and hygiene first: time zone, currency, and the change history, which tells me what the previous manager actually did and when performance shifted. Then conversion tracking, in depth, because it's the foundation the entire modern account stands on. I check what's being counted, whether it's counting once per real outcome, whether primary and secondary actions are set sensibly, and whether the numbers in the platform reconcile with anything the business can confirm from its own side.

Only once I trust the measurement do I move to structure and performance. That order matters more than any individual check. I've audited accounts that looked like they were crushing it on a 6x return, until the tracking review showed every conversion firing on a thank-you page that also loaded on repeat visits, inflating the count by double. The campaigns weren't the story; the measurement was. Had I started with campaigns I'd have spent an hour praising numbers that weren't real.

The reports I open first

Practically, a handful of built-in views do most of the early work. The change history frames the timeline. The search terms report shows me what queries are actually being paid for versus what the keywords imply. And the account's predefined reports give me a fast, consistent read on structure and spend without building anything by hand. Google's own documentation on predefined reports describes these ready-made views, and I lean on them precisely because they're the same everywhere, which keeps my read consistent from one audit to the next.

I pull these into the same reporting workflow I use for live management, so the audit isn't a separate artifact I abandon afterwards. The moment the account is mine, the reporting is already set up the way I want it, and the audit becomes the baseline I measure the first quarter against.

The red flags I find in almost every account

After enough handovers you stop being surprised. The same problems recur across wildly different businesses, and knowing them lets me find in twenty minutes what a cold audit takes hours to surface. These are the ones I check for on sight, because they're common, costly, and usually invisible in the top-line numbers a client is watching.

Broken or double-counted conversion tracking is the one I find most, and it's the most damaging, because it corrupts every automated bidding decision the account makes. Right behind it: conversion actions set as primary that shouldn't be, page views or micro-events counting as if they were sales, feeding Smart Bidding a diet of the wrong signals. The algorithm optimises faithfully toward whatever you tell it matters, so mislabeled conversions don't just distort reporting, they actively steer spend at the wrong outcomes.

Then the structural ones. No negative keywords worth the name, so broad match is bleeding budget into irrelevant search terms nobody ever reviewed. Branded and non-branded traffic mixed in the same campaigns, which flatters the whole account with cheap branded conversions and hides how the real prospecting is doing. Budgets that don't match the goals, with money sitting on campaigns that stopped converting months ago because nobody rebalanced them.

The quieter ones that still cost real money

Some red flags don't shout. Automated rules and scripts left running from a previous manager, quietly doing things nobody remembers setting up, are a recurring one, and I always check the automated layer before I trust anything the account is doing on its own. A single stale rule pausing keywords on a threshold that made sense two years ago can be silently throttling the account.

Performance Max with no audience signals and no exclusions, letting the campaign wander wherever it likes, is nearly universal now. So is a thin ad setup, one responsive search ad per group with two headlines, giving the system almost nothing to optimise. And underneath it all, the click-to-outcome experience: if the landing pages are slow or the conversion path is broken, no amount of account tuning fixes conversions that were never going to happen. I flag the reason people aren't converting before I obsess over squeezing the ones who do.

None of these are exotic. That's the point. A good template isn't a hunt for clever insights, it's a disciplined sweep for the boring, expensive problems that hide in plain sight because the person running the account got used to them.

Turning the audit into an action plan, not a list of problems

This is the part that separates a useful audit from a depressing one. A list of 40 problems isn't a plan; it's a source of anxiety. The job of the template's final step is to turn findings into a sequence someone can actually execute, and that's entirely a function of the impact and effort scores I attached to every row as I went.

I sort the whole report by impact against effort. High impact, low effort rises to the top, that's week one, the quick wins that prove the audit was worth commissioning and build the trust I'll need for the harder asks. High impact, high effort comes next as scheduled projects with real timelines: rebuilding tracking, restructuring campaigns, splitting branded from non-branded. Low impact items get parked honestly, documented so nobody re-discovers them in three months, but not pretended to be urgent. The discipline is refusing to treat every red row as equally on fire.

Then each prioritised item gets three things a bare finding never has: an owner, a due date, and a definition of done. "Fix conversion tracking" is a wish. "Rebuild the purchase conversion action with a single fire per transaction, verify with a test order, done by Friday, owned by me" is a task. That translation, from observation to committed action, is the entire value of the exercise, and it's what I present to the client instead of the raw findings.

How I present it so it actually gets done

The audit doesn't work as a data dump. I lead with the three or four things that matter most and the money they're leaving on the table, then show the prioritised plan, then keep the full scored sheet as the appendix for anyone who wants to verify a finding. Nobody acts on 40 equally-weighted rows; everybody can act on "here are the three fixes for this week and here's what they're worth."

The concrete takeaway I'd give anyone building their own template: don't optimise it for thoroughness, optimise it for what happens after. A shorter audit that ends in five sequenced, owned, dated actions beats an exhaustive one that ends in a spreadsheet nobody opens again. The point of a google ads audit report template was never to catalogue everything wrong with an account. It was to know, on day one, exactly what to do first, and to have already agreed it with the person who has to live with the results.