We knew which students got hired. We'd never told students what those students did differently.
The data was unambiguous: past roughly fifteen applications, a student's odds of actually landing an internship rose sharply. Below it, the odds stayed flat no matter how good the profile.
Most users were nowhere near fifteen. They applied to three or four, heard nothing, and drifted away — concluding the platform didn't work for them, when what had actually happened was that they'd stopped before the point where it starts working.
The number existed in our analytics. It had never left the building.
Activation and retention — the lifecycle system, the trigger logic, and the messaging that ran through it.
Most engagement work starts from what you want users to do more of. This started from what actually predicted success and worked backwards.
Once fifteen was the target, everything else got simpler. We weren't guessing at what made a good lifecycle programme — we had one number to move people toward, and a clear way to know whether it was working.
The journey started the moment someone made their first application — not on day three, not on a weekly send. First application in, sequence begins.
That mattered because the first application is the moment of highest intent. It's the only point where "here's what happens next" is something a user actively wants to hear.
Telling someone once that fifteen applications improves their chances doesn't change behaviour. It's a fact, and facts don't create momentum.
So the journey moved with them. At five applications: you're ten away from meaningfully better odds. Then again, and again, with the gap narrowing each time. Email and push, both keyed to where the user actually was.
The difference between a nag and a system is that a system knows where you are.