Google Keeps Stealing Credit For Customers Your Upper Funnel Created

He’s planning to make roughly 50% of his social media content UGC by 2027...

And he already knows his own attribution system is going to make that investment look worse than it really is.

“It’s going to be severely undercredited because it’s not clicky in nature.”

People see the content.

They don’t click.

Later, they search for the product...

“Google takes the credit.”    

Meanwhile, the DPAs look great.

They’re “inherently more clicky in nature”...

So they win inside the attribution model.    

Now he has to decide where the next dollar goes.

The Sale Started Before The Search

Google PLA is high intent.

Someone searches, clicks and converts.

Easy to see.

But in his words, that can be “funneled traffic” from someone who discovered the brand earlier on Meta, Pinterest or TikTok.    

The UGC did its job.

Google did its job.

The attribution just tells a very different story about who deserves the credit.

And that story matters when it’s time to allocate another million dollars.

Because the numbers say:

More Google.

While the customer journey may be saying:

Without the UGC, there was nothing for Google to capture.

This Gets More Dangerous As Video Wins

His media strategy is moving toward the exact type of advertising his MTA has the hardest time seeing.

More creator-led content.

More video.

More UGC across Instagram, Facebook and TikTok.

He expects roughly 50% of the media content across those platforms to be UGC by 2027.    

Not because it produces better-looking attribution.

Because people care about storytelling and connecting with the brand.

So what happens when that strategy works?

Someone watches.

Remembers.

Searches later.

Buys.

And Google takes the credit.

Do that across thousands of customers...

And the channel creating demand can look weaker than the channel waiting to collect it.

This Is Exactly Why We Built Purchase Influence

Traditional attribution asks:

Who gets credit for the sale?

Blueprint asks another question alongside it:

What influenced the sale before that happened?

Blueprint starts with direct attribution for the interactions that can be connected to the purchase.

Then Purchase Influence shows which channels, campaigns and ads appeared in the purchase path...

Even when another channel ultimately received the conversion credit.

That means Meta doesn’t need to steal Google’s conversion to prove it mattered.

UGC doesn’t need the last click.

And Google doesn’t need to be treated as though it created every customer who eventually searched and bought.

You can see both.

Who deserves the conversion credit...

And who helped create the path to the conversion.

For one Blueprint client, the difference was impossible to miss.

Google Reported 81 Purchases...

But once we uncovered more of what happened before those purchases...

Only 22 were directly attributable to Google.

Meta, YouTube and other top-of-funnel advertising had appeared earlier in the buying journey.

Google was often the final stop.

It wasn’t necessarily where the journey started.    

Now imagine making your budget decision with only the first number.

Google looks incredible.

The advertising upstream looks weak.

The obvious move is to keep feeding Google.

But once you can see what influenced those customers before they searched...

The media mix can tell a very different story.

That’s the distinction Purchase Influence is designed to expose.

A channel can receive relatively little direct conversion credit...

While appearing in a much larger share of the purchase paths that ultimately create revenue.

The attribution tells you how much credit it deserves.

The influence tells you why you’re still spending there.    

Your UGC Doesn’t Need The Last Click To Prove It Worked

Maybe the creator video introduced the product.

Meta reinforced it.

Then Google captured the customer when intent was highest.

Blueprint doesn't need to give all three channels the sale.

It can separate the roles they played.

What was directly attributable?

What influenced the purchase?

And for harder-to-track advertising where there isn't a customer-level path to follow...

What impact did it have downstream?

Blueprint's Impact measurement looks at changes in advertising activity alongside changes in purchases and other business outcomes.

That gives harder-to-attribute media another way to demonstrate what it's contributing without pretending someone clicked an ad they couldn't click.    

Direct attribution when the connection can be established.

Purchase Influence when advertising appears in the buying path.

Impact when the effect has to be understood through what happens downstream.

Now different parts of the funnel don't have to win the same attribution contest.

But Seeing It Is Only Half The Solution

This ecommerce leader wasn't asking for another interesting report.

He wanted to know what to do with it.

As UGC and video become a larger part of his media mix...

How should he scale them across the funnel?

How should he optimize toward customer acquisition cost?

CPA?

ROAS?

That was his actual question.    

And this is where Blueprint goes beyond measurement.

Blueprint Can Turn That Measurement Into A Budget Decision

Blueprint's Optimizer looks across campaigns and ad sets to identify where budget is working, where it's being wasted and where reallocating that money could improve the outcome you're actually optimizing toward.

That could be acquisitions.

CPA.

ROAS.

LTV.

Or another outcome that matters to the business.

The system can identify weaker areas...

Recommend where money can be pulled...

And identify where that budget may have a better opportunity to produce the desired result.    

And because Blueprint operates cross-channel, you aren't asking Meta where Meta thinks you should spend more money.

Or Google where Google thinks you should spend more money.

You're looking across the media mix.

Blueprint provides an independent cross-channel view of what's working, what's not, where there is room to scale and where there is room to optimize.    

Now the decision isn't:

Google got more conversions. Give Google more money.

It's:

Where can the next dollar work harder?

You Can Even Optimize Different Parts Of The Funnel For Different Jobs

This becomes especially useful when UGC isn't supposed to do the same job as your bottom-of-funnel ads.

Blueprint allows campaigns to be grouped around different objectives.

A group of top-of-funnel campaigns could be optimized around acquiring new customers or subscribers...

While another group could be optimized toward ROAS.

The goal isn't to pretend those campaigns have identical jobs.

It's to evaluate and optimize them around the outcome they're actually supposed to create.    

That matters when your media mix starts shifting toward creator-led video.

Because if the job of the UGC is to introduce someone to your product...

Judging it entirely by whether that person immediately clicked and purchased misses most of what you're trying to accomplish.

Blueprint lets you see further into what happened next.

Then use that information when deciding what deserves more budget.

Google Isn’t The Problem

Google may be doing exactly what you're paying it to do.

Capturing high-intent customers when they're ready to buy.

If Google created the sale, it should get the appropriate credit.

But if UGC introduced the customer...

Meta kept you in the consideration set...

And Google eventually captured that demand...

You should be able to see that too.

Because the ad that creates your next customer may never get clicked.

And as ecommerce moves further toward UGC, creators and video...

That distinction becomes a budget decision.

Not an attribution debate.

See What Happened Before The Search...

If Google keeps getting the sale while your UGC, Meta, TikTok, Pinterest or YouTube campaigns struggle to prove what they're contributing...

Blueprint can help you see more of what happened before the customer searched.

What deserves direct credit...

What influenced the purchase...

What created an impact downstream...

And where your next dollar has a better opportunity to work.

FAQ

Why does Google get credit for customers created by UGC or social media?

A customer can discover a product through UGC, Meta, TikTok or Pinterest without clicking. If they later search on Google, click a search or Shopping ad and purchase, click-based attribution can give Google the conversion even though another channel helped create the demand. The ecommerce leader described this directly: “People view the content and go and search for it in Google... Google takes the credit.”    

Why does traditional attribution undercredit UGC and video?

UGC and video often influence customers without generating an immediate click. The ecommerce leader said his internal MTA would “severely undercredit” this media because it isn't click-heavy, even as his company plans to substantially increase UGC across social.  

What is Blueprint Purchase Influence?

Purchase Influence separates conversion credit from participation in the buying journey. A channel may receive limited direct attribution while still appearing in many successful purchase paths. This helps marketers understand what influenced customers before the final conversion.    

How does Blueprint measure upper-funnel advertising that can't be directly attributed?

Blueprint can use Impact measurement for advertising where a direct customer-level path isn't available. It examines relationships between changes in advertising activity and changes in downstream business outcomes to estimate the impact harder-to-attribute channels are having.    

Can Blueprint help decide where to move ad budget?

Yes. Blueprint's optimization capabilities can evaluate campaigns and ad sets across platforms, identify weaker areas and recommend budget reallocations based on objectives such as acquisitions, ROAS or LTV.    

Can top-of-funnel and bottom-of-funnel campaigns be optimized differently?

Yes. Blueprint can group campaigns around different objectives. For example, you can group top-of-funnel campaigns around new subscriber cost while optimizing other campaigns toward ROAS, allowing different parts of the funnel to be evaluated according to different goals.