Updated September 2026 · Written and maintained by the Progression Agency strategy team
A free Google Ads audit that needs no account access. Paste your Search Terms report and see non-converting spend, negative keyword candidates ranked by cost, and your brand versus non-brand split — calculated in your browser.
On this page · 9 sections
- What a Google Ads audit should actually find
- Why this does not ask for access to your account
- Non-converting spend is the number to start with
- Brand and non-brand must be judged separately
- What the search terms report cannot tell you
- Match types, and why waste is usually a structural problem
- Budget: how much should you actually be spending?
- A sensible order of work after the audit
- What your conversion action is actually counting
The short answerMost free Google Ads audits are a lead form attached to a surface scan. The money in a search account leaks mainly in one place: queries you paid for that were never going to buy, and that is visible in a single export. Paste the Search Terms report and this tool reports how much went to terms that never converted, ranks the negative keyword candidates by cost, and separates brand from non-brand so the headline figure is not flattered by people searching your own name. What it cannot see is anything after the click, which is where the biggest misjudgements happen.
A search terms report ends at the click. It cannot show landing page relevance, lead quality or close rate, and those decide profitability. Treat the output as where to look, not as a verdict. Search volumes and cost-per-click figures quoted are Ubersuggest, United States, September 2026.
What a Google Ads audit should actually find
Most free Google Ads audits are a lead form. You enter your details, something scans the surface of the account, and a PDF arrives listing structural observations you could have made yourself.
The money in a search account leaks in one place above all others: queries you paid for that were never going to buy. That is visible in one export, and the arithmetic is simple. This tool does that part, from data you already have, without touching your account.
Google Ads search terms auditor
Paste the Search Terms report and see where the money actually went: non-converting spend, negative keyword candidates ranked by cost, and your brand versus non-brand split.
Results appear here.
Runs entirely in your browser. Nothing you paste is uploaded, logged or stored — which is also why it takes pasted text rather than a URL: a browser cannot read another site’s files without that site’s permission.
Why this does not ask for access to your account
Every audit tool that connects by OAuth is asking for standing read access to your advertising data, usually indefinitely.
It is not necessary for this. The Search Terms report is one export and it contains what matters. Nothing is uploaded, nothing is stored, and there is no connection to revoke afterwards.
How to get the export
- Open your Google Ads account and choose a date range of at least 90 days.
- Go to Campaigns, then Insights and reports, then Search terms.
- Add the Conversions column if it is not showing; without it the waste figure is guesswork.
- Select all rows, copy, and paste straight into the box above.
- Or download as CSV and paste the file contents.
Use ninety days, not thirty
A thirty-day window on a low-volume account produces a table where almost everything has one click and no conversions, which tells you nothing. Ninety days gives the tail enough time to show which terms genuinely never convert.
Non-converting spend is the number to start with
The first figure the tool reports is how much you spent on search terms that produced no conversion at all, excluding single-click noise.
In most accounts that is between a quarter and a half of total spend. It is not all recoverable, because some of those terms are relevant and simply have not converted yet, but it is where the recoverable money lives.
Why the click threshold matters
A term with one click and no conversion tells you nothing; at a 5% conversion rate you would expect twenty clicks before one converts. Setting the threshold at three or more clicks filters the noise. On a high-volume account, raise it.
Read every term before you exclude it
- A relevant term that has not converted yet is not waste; it is insufficient data.
- A term that is clearly the wrong intent is waste regardless of how few clicks it has.
- Research queries and job seekers are almost always safe to exclude.
- Competitor names are a deliberate strategy decision, not an automatic exclusion.
- Anything mentioning free, cheap or grants is usually a budget mismatch rather than a bad keyword.
Adding negatives is not the only fix
If a broad-matched keyword is producing dozens of irrelevant queries, adding forty negatives treats the symptom. Tightening the match type treats the cause and takes one change instead of forty.
| Pattern in the query | What the searcher wants | Usual action |
|---|---|---|
| how, what, why, guide, ideas | Information, not a supplier | Exclude, or serve with content instead of ads |
| jobs, salary, hiring, careers | Employment | Exclude |
| diy, yourself, how to build | To do it themselves | Exclude |
| free, cheap, grants, discount | A budget you cannot serve | Usually exclude |
| a competitor’s name | A specific rival | Deliberate decision, not automatic |
| a city you do not serve | A supplier elsewhere | Fix location targeting, not just negatives |
| your own brand name | You, specifically | Separate campaign; never blend with non-brand |
Brand and non-brand must be judged separately
If someone searches your business name and clicks your ad, you paid for a visit you would very often have received anyway.
Brand terms convert at high rates and cost little, so blending them into the account average makes the whole thing look healthier than it is. The number that tells you whether advertising is working is the non-brand cost per conversion.
What a large brand share usually means
- Above roughly forty per cent of spend on brand, the blended figure is mostly measuring your existing reputation.
- It is not automatically wrong to bid on your own name, particularly if competitors do.
- It is wrong to report the blended number as the performance of the advertising.
- Separating them into different campaigns makes the distinction structural rather than something you have to remember.
The question to ask
If you paused brand entirely for two weeks, how much of that volume would arrive organically instead? Nobody knows precisely, but the honest answer is rarely zero, and that is the portion of brand spend that is buying something you already had.
What the search terms report cannot tell you
It shows what people typed and what it cost. It stops at the click.
Everything that decides whether the account made money happens after that: whether the landing page matched the query, whether the enquiry was qualified, and whether it closed. A term with a low cost per conversion and a five per cent close rate is worse than an expensive term that closes at forty.
The data you need alongside it
- Close rate by source, which almost nobody measures and which changes every conclusion.
- Average job value, because a cheap conversion on a small job is not a win.
- Gross margin, because that is what sets your break-even.
- Sales lag, because a service enquiry may close two months after the click.
Where to take those numbers next
Once you know your close rate and margin, the separate break-even calculator on this site converts them into the highest cost per click your account can actually sustain. That figure is what should set bids, rather than a blanket target.
Match types, and why waste is usually a structural problem
The Search Terms report is the symptom. Match type is normally the cause.
Broad match with smart bidding will find demand you did not think to target, which is genuinely useful, and it will also spend on queries no reasonable person would call relevant. Both are true at once, and the fence is negatives plus structure.
A workable structure for a small account
- A brand campaign, separated so it never contaminates the non-brand numbers.
- An exact match campaign on the terms you know convert.
- A phrase or broad campaign for discovery, with a smaller budget and a tight negative list.
- A shared negative keyword list applied across all of them.
- Location targeting set to presence, not presence-or-interest, unless you deliberately want the latter.
Why presence-or-interest catches people out
The default location setting includes people merely showing interest in your area, which for a local service business means paying for clicks from other cities. It is one of the most common single causes of geographic waste and it is one setting.
| Symptom in the report | Likely cause | Fix |
|---|---|---|
| Many irrelevant queries | Match type too loose | Tighten match type, then add negatives |
| Queries from other cities | Location set to presence-or-interest | Change to presence |
| Long tail of one-click terms | Broad match discovery running unchecked | Cap the discovery budget |
| High brand share | Brand and non-brand in one campaign | Separate them |
| Good cost per conversion, poor business result | Conversion action is too shallow | Count qualified leads, not form fills |
| Everything looks fine but revenue does not move | Close rate or margin, not the account | Measure close rate by source |
Want this done for your site?We build and maintain the search, content and paid programmes described on this page.
Budget: how much should you actually be spending?
The honest answer runs backwards from what a customer is worth, not forwards from a percentage of revenue.
Percentage-of-revenue rules of thumb are common and close to useless for a service business, because they ignore margin, close rate and capacity. The arithmetic that works starts with how many customers you need and what one is worth in gross profit.
The sequence
- Decide how many customers a month you need and can actually deliver.
- Divide by your close rate to get the leads required.
- Divide by conversion rate to get the clicks required.
- Multiply by cost per click to get the budget.
- Multiply customers by gross profit per customer.
- If step five is smaller than step four, the target is not fundable at these rates.
Capacity is the real ceiling
A campaign that produces more work than you can deliver destroys margin through rushed jobs and subcontracting. For most service businesses the ceiling on spend is operational rather than financial, and it is worth knowing before you scale.
A sensible order of work after the audit
The output usually produces a long list. Doing it in the wrong order wastes the effort.
Structural fixes first, because they stop the leak. Exclusions second, because they clean up what already leaked. Bid and budget changes last, because they are meaningless until the first two are done.
In order
- Fix location targeting if queries from outside your area appear at all.
- Separate brand from non-brand if they share a campaign.
- Tighten match types on any keyword generating obviously irrelevant queries.
- Add the negative keywords the report surfaced, reading each one first.
- Check the conversion action counts something that matters, not every form fill.
- Only then adjust bids and budgets, using break-even rather than a blanket target.
Re-run it after a month
Negative keyword work is not a one-off. New queries appear constantly, particularly with broad match and smart bidding. Monthly is a reasonable cadence for most accounts and it takes minutes once the export is familiar.
What your conversion action is actually counting
Every figure in an audit rests on the conversion action, and in most small accounts that action counts something far shallower than a customer.
If a conversion is any form submission, any phone click, any chat opened, then cost per conversion is really cost per event. Two accounts with identical cost per conversion can be worlds apart in profit because one counts qualified enquiries and the other counts someone tapping a phone number and hanging up.
Common conversion actions, ranked by how much they mislead
- Page view of a thank-you page: counts bots and back-button traffic; the weakest.
- Phone number click: counts the tap, not the call, and not whether anyone answered.
- Any form submission: counts spam and job applications alongside real enquiries.
- Form submission filtered for spam: usable.
- Qualified enquiry marked in your own system: the first one that means anything.
- Closed sale imported back into the account: what everything should be judged against.
Counting several things at once is the quiet killer
If page views, phone clicks and form fills are all counted as conversions, a single visitor can register three. The account then optimises toward whatever is easiest to produce, which is almost never the thing that makes money.
The fix is boring and it works
Pick one primary conversion action that is as close to revenue as you can get, mark everything else as secondary so it is observed but not optimised toward, and re-judge the account on that. Expect the numbers to get worse and the business to get better.
| What you count | What it actually measures | Safe to optimise toward? |
|---|---|---|
| Thank-you page view | Traffic reaching a URL, bots included | No |
| Phone number click | A tap on a link | No |
| All form submissions | Enquiries plus spam plus job applications | Only with spam filtering |
| Filtered form submissions | Genuine enquiries | Yes, as a proxy |
| Qualified enquiry | Someone you would actually quote | Yes |
| Closed sale imported back | Revenue | Yes, and best |
| Account A | Account B | |
|---|---|---|
| Cost per conversion | $60 | $60 |
| What counts as a conversion | Any form fill | Qualified enquiry only |
| Proportion that are real enquiries | 40% | 100% |
| Real cost per enquiry | $150 | $60 |
| Close rate on those enquiries | 25% | 35% |
| Actual cost per customer | $600 | $171 |
- (‘h2’, ‘Everything else we have written on search, AI and getting found’)
- (‘h3’, ‘Getting found in search’)
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- (‘h3’, ‘AI, AEO and what is changing’)
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- (‘h3’, ‘Paid media and lead generation’)
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- (‘h3’, ‘Websites and design’)
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- (‘h3’, ‘Choosing and working with an agency’)
- (‘ul’, [‘Marketing agencies in NYC‘, ‘Digital marketing agency NYC‘, ‘Digital marketing in Atlanta‘, ‘Digital marketing in Connecticut‘, ‘Digital marketing in Oklahoma City‘, ‘Nonprofit marketing agency‘, ‘Pharmaceutical marketing agency‘, ‘MSP marketing agency‘, ‘App development agency‘, ‘Growth tools for startups‘, ‘How to choose a digital marketing agency‘, ‘What does a marketing agency do?‘, ‘What does a digital marketing agency do?‘, ‘Marketing agency pricing‘, ‘What does retention mean?‘, ‘How to calculate success rate‘, ‘What does backlog mean?‘, ‘Best marketing agency‘, ‘Branding services for small businesses‘, ‘Fashion consulting‘, ‘Triadic color schemes‘, ‘The 8 principles of design‘, ‘How to write a brochure‘, ‘TikTok Wrapped: what actually exists‘, ‘Full-service marketing agency‘, ‘Marketing agencies in Philadelphia‘, ‘Agencies in Portland, Oregon‘, ‘Boutique marketing agency‘, ‘Marketing agency for small business‘, ‘Digital marketing services‘, ‘Digital marketing agency in New Jersey‘, ‘Fractional CMO services‘, ‘What is a fractional CMO?‘, ‘About Progression Agency‘, ‘Startup marketing agency‘, ‘Marketing agency in Tampa‘, ‘Marketing agency in San Diego‘, ‘Digital marketing in Florida‘, ‘Marketing agency in Nashville‘, ‘Marketing agency in Portland‘, ‘Client testimonials‘, ‘Contact us‘, ‘Marketing agency near me‘, ‘Online reputation case studies‘, ‘Digital marketing agency, Dallas‘, ‘Orlando digital marketing agency‘, ‘Advertising agencies in Westchester‘, ‘Water damage restoration leads‘, ‘General contracting leads‘, ‘Home inspection leads‘, ‘Spray foam insulation leads‘, ‘Mold remediation leads‘, ‘Digital marketing agency in Toronto‘, ‘Digital marketing internships‘, ‘Marketing consulting firms‘, ‘Marketing agency in Austin‘, ‘Advertising agency, Columbus‘, ‘Advertising agency, Charlotte‘, ‘Digital transformation consulting‘, ‘Ethos in advertising‘, ‘Sales promotion examples‘, ‘Experiential marketing agency‘, ‘Marketing strategy‘, ‘Small business marketing‘, ‘Brand awareness for professional services‘, ‘Healthcare strategy consulting‘, ‘Digital healthcare marketing‘])
- (‘h3’, ‘Social, content and brand’)
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- (‘h3’, ‘By industry and by situation’)
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Want the audit done properly, with your sales data in it?
We run this against close rate, margin and capacity rather than stopping at the click, so the recommendations are about profit rather than cost per conversion.
Not sure which of these applies to you?Tell us the situation and we will say plainly what we would do first, and what we would not.
Getting found in search
AI, AEO and what is changing
- GEO vs SEO
- How AI will affect SEO
- AI automation agency
- AI automation cost
- AI customer service
- AI in digital advertising
- AI for email marketing
- AI for restaurant social media
- Generative engine optimization agency
- AI visibility best practices
- Answer engine optimization agency
- AEO vs GEO vs LLM SEO
- LLM SEO: the technical side
- How to rank in ChatGPT
- AI visibility tools compared
- AI visibility audit
- AI SEO agency
- AI search statistics, traced
- AI SEO in New York
- AEO vs SEO: what transfers
- AEO pricing: what it costs
- AEO agency: how to choose one
- What is AEO? Defined
- AEO services: what you receive
- AEO audit: the full checklist
- AI search optimization: two engines
- AEO tools: which class you need
- LLM visibility: what it measures
- Why AI recommends your competitor
- AEO search landscape: original dataset
- How AI search works: the pipeline
- How to get cited by AI: nine moves
- AEO myths: twelve claims assessed
- How long AEO takes
- Local AEO: why it differs
- Enterprise AEO: the real blockers
- AI visibility trackers vs rank tracking
- Why AI visibility dropped
- AEO content writing: six rules
- AEO for small business: where to start
- AI answers vs organic search
- AEO experts: the six skills
- AEO pros and cons
- AEO and paid search together
- URLs and AI citation
- AEO for dentists
- AEO for doctors
- AEO for plastic surgeons
- AEO for chiropractors
- AEO for therapists
- AEO for med spas
- AEO for fintech
- AEO for plumbers
- AEO for roofers
- AEO for HVAC
- AEO for landscapers
- AEO for hotels
- AEO for wineries
- AEO for ecommerce
- Free tool: AI crawler access checker
- Free tool: llms.txt generator
- Free tool: schema vs copy validator
- Free tool: extractable content checker
- Free tool: AI visibility prompt builder
- Free tool: schema markup generator
- Free tool: ROAS and break-even calculator
- Free tool: AI visibility checker
- Free tool: Google Business Profile and NAP audit
- AI SEO agency, Austin
- AI SEO agency, Los Angeles
- AI SEO agency, Miami
- AI SEO agency, Phoenix
- AI SEO agency, Philadelphia
- AI SEO agency, Boston
- AI SEO agency, Dallas
- AI SEO agency, Chicago
- AI SEO agency, Houston
- AI SEO agency, Denver
- AI SEO agency, Seattle
- AI SEO agency, Atlanta
Paid media and lead generation
Websites and design
Choosing and working with an agency
Social, content and brand
By industry and by situation
Frequently asked questions
What is a Google Ads audit?
Is this Google Ads audit really free?
Why does it not connect to my Google Ads account?
How do I get the Search Terms report?
What date range should I use?
What counts as wasted spend?
How much wasted spend is normal?
Should I add every non-converting term as a negative keyword?
Why separate brand from non-brand?
What brand share is too high?
Is adding negative keywords the right fix?
Why am I getting clicks from other cities?
What is a negative keyword tool?
What can a search terms report not tell me?
How much should I spend on Google Ads?
Is a percentage-of-revenue budget rule useful?
What should I fix first?
How often should I run this?
Does this work for Microsoft Advertising too?
Is anything I paste into this tool uploaded?
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