Most enterprise SaaS revenue shows up in brand search.
Google. Bing. Someone types your name. Converts.
If you just look at attribution, that's where it came from.
But that's not where it started.
We see this a lot
Campaigns running across LinkedIn, Meta, search, content.
Then the deal comes through branded search and everything else looks like it didn't matter.
So it gets cut, or deprioritised, or questioned.
But something put it there.
Someone saw something. Or heard something. Or got recommended something internally.
Maybe they saw an ad a week ago. Maybe a partner mentioned you. Maybe someone on their team filled in a form and forgot about it.
You don't really know.
That's the uncomfortable bit.
Search is getting weirder as well
More zero-click behaviour. More instant answers. Less need to browse.
So even when someone is "searching", they're not always engaging in a way that shows up cleanly.
They might not click anything until they're already close to a decision.
Then suddenly it looks like search did all the work.
Paid sits in an awkward place in all of this
On LinkedIn, you can get very close to the right people.
In one account, it drove around 60% of qualified leads while spend reduced over time.
That's real contribution.
As one client put it, "About 60% of all qualified leads we generate in ANZ come from LinkedIn." That's not just volume. That's a channel producing leads sales actually wanted.
But it still doesn't tell the full story.
Because a lot of the impact shows up somewhere else.
Same with paid social more broadly
We've seen pipeline more than double in accounts where costs were rising across the board.
That shouldn't really happen if you're just looking at platform metrics.
But it does.
Because what you're doing upstream is changing what happens downstream.
Even if attribution doesn't connect it cleanly.
SEO has the same issue
One account had plenty of traffic.
It just wasn't converting.
Broad queries. Low intent. Good-looking charts.
When that shifted toward higher-intent searches, revenue followed.
Less traffic. Better outcomes.
One client put it well: the work helped focus on "increasing revenues" rather than "likes or clicks which can look good on a chart, but may have no bottom line impact."
But even then, some of those conversions still come through brand.
So what gets the credit?
This is where most reporting falls apart
Not because the tools are broken, but because the model is.
Everything is trying to assign a clean source to something that isn't clean.
Buying journeys aren't linear.
They're stitched together from:
- things people saw
- things people heard
- conversations internally
- previous experience
- timing
You're only ever seeing part of it.
The only way we've found to get closer is to ask
Proper onboarding. Asking where people heard about you. Asking what triggered the search.
It's not perfect.
People forget. They guess. They simplify.
But it's still better than pretending the platform data is complete.
And the quality of that data matters. As one client said, "We rely on data to help us make informed decisions on where to spend our marketing budget."
That's the point.
Not perfect attribution. Better decisions.
And if you feed that back into how you run campaigns, it starts to line up.
Not perfectly. But enough to make better decisions.
Most SaaS marketing looks efficient until you follow it through to revenue
And the further you follow it, the fewer things actually matter.
Brand search gets the credit.
But it rarely does the work on its own.
That's the gap
And most teams are still optimising the wrong side of it.
