If you’ve been looking at your Google Ads reports lately, you might have noticed something strange. Instead of seeing whole numbers for your conversions, you may see decimals like 0.33, 0.50, or 0.85.
It may look like a glitch. After all, you can’t have a third of a form submission or half a phone call. And someone can’t ‘halfway’ buy a product.
So how can it be a fraction?
Well, it’s not an error, it’s just Data-Driven Attribution. And it’s the most accurate way to measure how your ad spend is working. With data-driven attribution, Google has stopped guessing and started measuring what is really happening with your ads. Understanding these decimals helps you see the full customer journey and is key to improving your conversion rate optimisation (CRO).
Of course, this high-level measurement only works if your foundation is solid; if you haven't transitioned yet, a proper Google Analytics GA4 setup is the first step to seeing this data correctly.
The Death of the "Last Click"
Traditionally, conversions were measured on a "Last Click" basis. This meant the last touchpoint before someone converted got 100% of the credit.
Imagine this scenario:
- A customer clicks your Google Search Ad on Monday.
- On Wednesday, they click a Google Display Ad.
- Finally, on Friday, they visited your website directly by typing your URL (Direct) and bought something.
Under the ‘Last Click’ model, “Direct” would get all the credit.
Your earlier ads would appear as if they didn’t contribute, even though they clearly played a role in getting that person there.
Without seeing the full journey, it’s easy to assume your ads aren’t working and you may decide to switch them off.
But if you did, that Friday conversion may never have happened.
How does Google decide who gets what?
It isn’t a random split. Google’s AI compares thousands of similar customer journeys. It asks:
"If we removed the Search Ad from this path, would the customer still have converted?"
If the answer is ‘NO’ that Search Ad gets a higher percentage of the credit. It’s a dynamic calculation based on real-world probability.
Why Google does this
Because the last-click model was misleading. As the previous scenario showed, giving the final interaction the full credit often leads to decisions like:
- Turning off campaigns that are driving demand
- Overvaluing brand or direct traffic
- And misreading what’s really working
Is the Cost Per Conversion (CPA) still accurate?
The answer is a resounding YES. In fact, it is more accurate.
When you see a CPA based on fractional credit, Google is mathematically matching the spend of that specific ad against the "portion" of the sale it earned. It ensures that every pound of your budget is being judged by its actual contribution to the final sale, whether it started the journey or finished it. However, the math only works if your tracking is capturing every touchpoint without gaps. You can learn more about how to make Google Ads conversion tracking reliable in GA4 to ensure your data is based on the best possible inputs.
Why it’s important to credit every touchpoint
When you start seeing credit split across different touchpoints, a few things usually become clear:
- People don’t convert straight away - They’re comparing, researching, and coming back.
- Earlier-stage campaigns matter - Campaigns that introduce your business are no longer invisible.
- Your account works as a system - Search, remarketing, and brand all play different roles.
But seeing the system is only half the battle; the real value lies in how that data is used to drive growth.