The pattern is familiar enough to be boring. Campaigns running across LinkedIn, Meta, search and content; the deal eventually arrives through branded search; and everything else in the mix looks like it didn't contribute. So it gets cut, deprioritised, or at least questioned at the next budget review.
Something put that brand search there, though. Someone saw an ad a week earlier, or a partner mentioned you, or a colleague filled in a form and forgot about it. You don't really know, and that's the uncomfortable bit.
Search behaviour is making this harder rather than easier. More zero-click results, more instant answers, less reason to browse - so even when someone is actively searching, they may not click anything until they're already close to deciding. Then it looks like search did all the work in a single afternoon.
Paid sits in an awkward place
On LinkedIn you can get very close to the right people. In one account it drove around 60% of qualified leads while total spend came down over time, which is real contribution by any reasonable measure. As the client put it: "About 60% of all qualified leads we generate in ANZ come from LinkedIn." That's a channel producing leads sales actually wanted, not just volume.
It still doesn't tell the full story, because a good share of the impact surfaces somewhere else entirely. We've seen pipeline more than double in accounts where costs were rising across the board, which shouldn't happen if you read platform metrics literally. What you do upstream changes what happens downstream, whether or not the attribution model connects the two.
SEO has the same problem from the other direction. One account had plenty of traffic that simply wasn't converting - broad queries and low intent, producing charts that looked healthy. Shifting toward higher-intent searches meant less traffic and more revenue. One client described the goal as "increasing revenues" rather than "likes or clicks which can look good on a chart, but may have no bottom line impact." Even then, a chunk of those conversions still arrive through brand.
Why the reporting falls apart
Not because the tools are broken. Because the model is: everything is trying to assign a single clean source to something that was never clean.
Buying journeys get stitched together from things people saw, things they heard, internal conversations, previous experience, and timing. You only ever see part of that, and the part you see is whichever fragment happened to carry a tracking parameter.
The only approach that gets closer
Ask people. Proper onboarding questions - where did you hear about us, what triggered the search.
It isn't perfect. People forget, guess, and simplify when you put them on the spot. It's still considerably better than pretending platform data is complete, and the quality of that input matters more than it looks: as one client said, "We rely on data to help us make informed decisions on where to spend our marketing budget."
Which is the whole aim - attribution good enough to make better decisions on, rather than attribution claiming a precision it doesn't have. Feed the answers back into how campaigns get run and things start to line up. Not perfectly, but enough.
Most SaaS marketing looks efficient until you follow it through to revenue, and the further you follow it the fewer things turn out to matter. Brand search collects the credit and rarely does the work on its own, and most teams are still optimising the side of that gap they can see.
