Do Your Platforms Claim More Than You Sold?
Add up what each ad platform reports, compare it against the orders in your store admin, and see the ratio. Nothing here is estimated from an industry average: it is your two figures divided.
Size your attribution gap
Your two numbers, divided. No industry averages involved.
Pick last month. Add up the conversions each platform reports for that period, across every platform you run.
The same dates, from your store admin. Use the same definition on both sides, usually a completed purchase.
Add this to see what an order actually cost you, against what the platform figures imply.
Every ad platform counts the same customer.
Meta claims the sale. So does Google. Add up what each platform reports and the total comfortably exceeds the orders in your store admin. No single platform is lying: each one genuinely touched that customer. The problem is that nobody deduplicates across them.
Enter both numbers to see your own ratio. Nothing here is estimated from an industry average.
Why the gap exists
- Google Ads Help, understand your conversion tracking data(opens in a new tab)Google Ads credits a conversion to the time of the ad click, and states that differences from other systems remain because platforms use different attribution models and lookback windows.
- Adobe Commerce, diagnosing revenue discrepancies(opens in a new tab)Platform-reported and store-recorded revenue routinely disagree, and Adobe publishes a guide to diagnosing the discrepancy.
Both figures are yours: this divides them and adds no benchmark and no assumption. It sizes the problem, not the payoff. The return comes from what you do next, moving budget toward the channels that genuinely convert, and that is a decision better information lets you make rather than one we can forecast for you.
Why The Numbers Disagree
Nobody is lying to you. Each platform is correctly reporting that it touched the customer. The gap opens because no one deduplicates across them.
By design
Each platform counts its own way
Google Ads credits a conversion to the time of the ad click, and says differences from other systems persist because platforms use different attribution models and lookback windows.
Routinely
Platform and store figures disagree
Common enough that Adobe publishes a guide to diagnosing the discrepancy between the two.
How We Calculate
No black boxes, no benchmarks and no modelling. Four steps, and two of them are yours.
You supply both numbers
The conversions your ad platforms claimed last month, summed across every platform you run, and the orders your store actually recorded over the same dates. Use the same conversion definition on both sides, usually a completed purchase rather than an add to cart.
We divide them
That is the whole calculation. Claimed divided by actual is your over-report ratio, and claimed minus actual is the number of conversions nobody can match to something you shipped. There is no industry average anywhere in the arithmetic, no assumption about your channel mix, and nothing modelled on your behalf.
Add your spend to see the real cost per order
Optional, and it changes nothing else. Your spend divided by claimed conversions is the cost per order your platforms imply and optimise towards. Your spend divided by real orders is what an order actually cost. The distance between those two is where budget decisions go wrong.
Then you decide what to do about it
This is a measurement, not a forecast. What it gives you is the basis for moving budget toward the channels that genuinely convert, and for giving your ad platforms cleaner input to optimise against. That is where the return comes from, and it is your decision to make: we will not put a percentage on it, because any number we invented before seeing your data would be worth exactly nothing.
Sourced explanation
The causes are linked and checkable, the figures are yours
Measured, not estimated
Your two figures divided, with no benchmark applied
Checkable tonight
Verify it against your own store admin
Attribution Gap Questions
What this tool measures, what it refuses to, and how to check it yourself.
What exactly does this calculator work out?
Where do I find the two numbers?
Is this an estimate?
My platforms claim fewer conversions than my store recorded. What does that mean?
Why does the gap exist at all?
Does a big gap mean I am wasting that money?
Will better attribution actually improve my returns?
Ready to see which channel actually earned it?
Seven models over one knowledge graph, so you can see where they agree, where they disagree, and decide with the disagreement in front of you.
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