Draft: hidden from Google until Dan signs it off.

Deep diveProve it worked · 4 min read · 27 October 2026

Your Google Ads
look better than they are.

Google Ads puts every conversion it can connect to an ad into one column: people who searched your name and would have found you anyway, people who only saw an ad, and conversions it estimates rather than observes. None of that is hidden, but it adds up to a flattering number. Separate those out, then test with a holdout to see what the ads really caused.

One column
adds it all up.

The 'Conversions' column looks like a count. It's partly an estimate. When privacy settings or browsers stop Google seeing a conversion, it models one, and Google says plainly that the column reports both modelled and observed conversions. Modelled conversions can take up to five days to settle, so last week's numbers can still move.

Modelling isn't a scam. It exists so automated bidding isn't learning from half the picture. But it does mean the number you're judging the account on is Google's estimate of Google's own performance.

People who were
coming anyway.

The biggest flattery is usually brand search. Someone types your business name, clicks your ad instead of the organic link right under it, and buys. The ad gets the credit. Would they have bought without it? Often, yes.

This has been tested properly. eBay ran large field experiments, switching ads off for some areas and comparing, and found brand-keyword ads had no measurable short-term benefit. Across its paid search, true returns were a fraction of what the usual reports suggested.

To be fair, you are not eBay. If competitors bid on your name, a brand campaign can be protecting real sales. The point isn't to switch brand off. It's to stop letting brand results stand in for how the rest of the account is doing.

Watch Performance Max here. It can pick up brand searches unless you tell it not to, which is why Google offers brand exclusions for Performance Max and Search.

Seen,
not clicked.

Some conversions are credited to people who never clicked. Google's default windows are 30 days after a click, 3 days after an engaged view of a video ad, and 1 day after an ad is simply seen. A person who scrolled past a YouTube ad and bought from you the next day can count.

Sometimes that's real influence. Sometimes it's coincidence with good timing. You can't tell from the report, which is the problem.

Sometimes that's real influence. Sometimes it's coincidence with good timing.

The same lead,
counted twice.

Google's own advice is to count leads as one conversion per click, because a second form from the same person isn't a second customer. But 'every' is the default for website conversions. Someone who sends the form twice is two leads in the report and one in your inbox.

The other usual culprit: actions set as main conversions that aren't sales or enquiries at all. Page views, button clicks and time on site make the number bigger and the bidding worse.

Strip it back
with your own numbers.

Pull these from your account for the same date range, then put them in below. It's simple subtraction, and it stays in your browser. If you don't know a number, leave it blank and the calculator skips that step.

Conversions you can lean on

-

Start with the number in your Conversions column.

Still not proof of cause. It's the number to test from, not the end of the story.

The only real answer
is a test.

Subtraction gets you closer. A test gets you the answer. The idea is simple: show ads to one group, hold them back from a similar group, and compare. Google offers this as Conversion Lift, though it isn't available for every account.

For smaller accounts, a region holdout does the job: pause a campaign in a few comparable areas for a few weeks and watch total enquiries, not just the ones the platform reports. That's the approach behind Cause Testing.

And sometimes the test says the ads are doing more than Google claims, especially when people see an ad, then ring you instead of filling in a form. Testing isn't about proving ads don't work. It's about knowing which ones do.

Testing isn't about proving ads don't work. It's about knowing which ones do.

Your turn

Someone fills in your enquiry form twice from the same ad click. With the default counting for website conversions, how many conversions does Google Ads report?

In my experience

The pattern I see most often: an account looks healthy until you take brand searches out. Then the cost per lead on everything else is a very different number, and that's the number the budget decisions should be made on.

What to do
this week.

  1. Split brand out

    Report brand and non-brand separately. Judge each on its own cost per lead or return.

  2. Check counting

    In Goals, then Conversions: leads set to 'One', sales to 'Every'. Only real sales and enquiries as primary actions.

  3. Look at the windows

    Note how many conversions come from views rather than clicks, and decide whether you believe them.

  4. Match to the inbox

    Compare last month's reported leads with real enquiries in your CRM or inbox. The gap is your first finding.

  5. Run one test

    Pick one campaign and hold it back in a few regions for a few weeks. Compare total enquiries, not reported ones.

Questions
people ask.

Are modelled conversions real?

They're estimates of conversions Google couldn't observe directly. Usually close enough to guide bidding. Not something to quote as fact without checking against your own sales.

Should I turn off my brand campaign?

Not without testing it. If competitors bid on your name, brand ads can protect real sales. eBay's experiment found no short-term benefit for its brand ads, but eBay's situation isn't yours. Test it in a few regions first.

What is a view-through conversion?

A conversion from someone who saw an ad but didn't click it. Google's default window is 1 day after the view, and 3 days after an engaged view of a video ad.

Should leads be counted as Every or One?

Google suggests One for leads and Every for sales. Changing it only affects future conversions.

How do I know what my ads really caused?

Run a holdout test: ads for one group, none for a matching group, compare the results. Google's Conversion Lift does this where it's available. A region holdout works for smaller accounts.

What changed

  • First published. Every source checked on the day.

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