The high cost of “cheap” leads.
Lessons from the M3DS global transformation.
The growth advantage was already there
M3DS had spent years building something many brands are still trying to develop: first-party data.
Students. Applicants. Leads. Interests. Behaviours. Signals of intent.
The problem was that almost none of it was shaping how the next potential student was acquired.
Marketing was still operating largely as a separate layer - broad audiences, broad campaigns and essentially the same journey for everyone.
We saw the opportunity differently.
The data was not a reporting asset. It was the foundation of the growth system.
From audiences to signals
Instead of starting with media channels, we started with what M3DS already knew.
We used first-party data to understand what its strongest prospects had in common, what they were interested in, where they were in the decision process and which behaviours signalled real intent.
That intelligence became the targeting layer.
Broad audiences became more precise.
Generic acquisition became data-native acquisition.
And media stopped being simply a way to buy attention. It became a system for continuously identifying, testing and learning which prospects were most likely to move forward.
The data was already there. The advantage came from turning it into a system that knew who to target, what to say and what to do next.
One funnel doesn’t fit everyone
Precision targeting was only one part of the system.
Someone discovering M3DS for the first time should not receive the same message as someone who has already explored a programme, interacted with the academy or shown clear intent.
So instead of building one campaign and one funnel, we designed personalized flows around different levels of intent.
Different audiences.
Different messages.
Different stages.
Different next actions.
Each interaction created another signal that could make the next one more relevant.
The system became smarter as people moved through it.
The result was not better advertising
It was a better acquisition engine.
One built around M3DS’ own customer intelligence rather than continuously renting generic audiences from advertising platforms.
That distinction matters.
Channels change. Algorithms change. Media costs change.
First-party knowledge compounds.
The more the system learns about who converts, why they convert and what moves them forward, the more precise the next acquisition cycle becomes.
That is how we think about performance at GRF.
Not as campaigns to optimize.
But as systems designed to learn.
Because the businesses that learn faster can scale smarter.