Why your marketing budget delivers more than you think, and how to find the proof

The standard tools most people use to measure marketing are full of blind spots.

The consequence is predictable: budgets shift from channels that actually work to channels that look good in a report. Volumes drop. And the people who made the decision don't see why.

This article is mainly about attribution in marketing costs and returns. What it is, why it's so difficult to measure correctly, and what concretely happens when you get it wrong.

The problem with last-click

The following scenario is extremely common.

A potential customer sees an ad on Meta or LinkedIn at some point. They don't click. Two weeks later they see a display ad via your Google Performance Max campaign, click through and briefly visit the website. Later they search for your brand, come in organically and sign up for the newsletter. From the newsletter that follows a month later they finally decide to click through and buy.

Which channel gets the credit for that purchase?

In last-click attribution, the default model in GA4, Google Ads and Meta Ads, your newsletter gets 100% of the credit. Meta gets nothing. Your Google Ads get nothing. Your organic traffic gets nothing, apart from a newsletter conversion if you measure that properly. But I do look at acquisition source, you might be thinking. Fair enough — then Google Ads gets 100% of the credit for both the sale and the newsletter sign-up. All other important sources are ignored.

"Last-click attribution is like rewarding the winner of a relay race and ignoring the rest of the team."

For cheap products with a short decision time, last-click is a reasonable approximation. Impulse purchases, low-barrier services: the time between first contact and purchase is short and the touchpoints are limited. But the more expensive the product, the more planning a purchase requires, the longer the window between first encounter and conversion — and the further from reality last-click actually sits.

The blind spot nobody talks about

In the example above I already illustrated what happens when someone sees your ad but doesn't click: they don't get counted in the results. For GA4 only a session on your website counts.

If someone decides after seeing 5 ads on social media to finally search for your brand and click through via the organic result, organic gets the credit for the acquisition.

This explains a pattern I've been seeing for years: businesses that see 60 to 70 percent of their conversions coming in via organic or direct, conclude that paid channels are too expensive and cut their advertising budget. After which organic and direct volumes also start to fall and nobody understands why.

"That search for your brand name? It didn't come out of nowhere. Someone saw an ad three weeks ago that set it in motion."

What concretely happens when you turn off the tap

I've experienced two situations where businesses decided, based on last-click data, to reduce or fully stop their awareness campaigns.

In both cases total volume dropped noticeably afterwards. Not immediately, because there was still some residual effect from earlier campaigns, but within one to two seasons the effect was clearly visible in booking and revenue figures. The paradoxical result was that the ROAS on the remaining campaigns rose. Because when you only run conversion-focused campaigns targeting people who are almost ready to buy, the measured return is indeed higher. But total volume shrinks.

"When your ROAS rises but your volumes fall, your dashboard is telling you a story you want to hear, not the story you need."

What the data actually shows

To make this concrete: for a client with a strongly seasonal product I compared the same time window in two attribution models. Last-click versus a UMM model (Unified Marketing Measurement) with an unlimited attribution window via Billy Grace.

In last-click, organic was at the top as the best-performing channel. Meta Ads was virtually invisible. Google Ads showed a ROAS that was respectable but not impressive. Switch to the UMM model and the entire picture shifts. Nearly 40 percent of the conversion value attributed to organic turned out to have actually been driven by paid channels. Meta Ads suddenly showed an actual ROAS of more than 600 percent. Google Ads rose from a measured ROAS of around 200 percent to more than 340 percent when indirect conversions and a broader time window were included.

Same campaigns. Same period. Completely different story.

To close

Over time I've learned that the classic way of looking at data doesn't actually tell the full story. Which is why relying solely on what GA4 tells you, even based on their data-driven reports, is actually wrong.

A consultancy once told me I was looking at too much data. That might be one of the most dangerous things you can tell a business. More data means more context. More context means better decisions, as long as you know which questions to ask. I understand their point to some extent — it can feel like you have to pass through too many checkpoints before making a decision. And sometimes timing is crucial. But in the bigger picture, I don't think you can ever have too much insight.

"Nobody has ever made a bad decision because they had too much context. Only because they asked too few questions about the context they had."

Attribution is an important part of every marketing report, and it's really not that technical. It's simply important that you look at your marketing campaigns through the right lens.