For consumer mobile growth leads, UA managers, and founders running apps where the product itself doesn't naturally make users want to share.
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On the call you'll receive:
4.1k visits. 3.1k tries. 607 on a quiz.
Those are the numbers from one UGC campaign we ran for a client. CPA landed at their paid baseline. No paid amplification on the creator videos. The traffic came in cold from creator audiences and from people the creators' audiences shared the output with.
The client runs an apparel try-on app. Apparel has a share problem — people keep what they try to themselves. Try-on is private. Showing your friends the dress you almost bought is a weird flex. So the natural share-coefficient of the core product is close to zero. You can buy installs all day; you can't get the app to travel on its own.
They added pet try-on. Same ML pipeline, different object. Dress the dog. The pipeline didn't change — the object did. And the object change flipped the share equation. Now the output of the feature is something you want to send to a friend. Now the screenshot has social currency. Now the app travels.
We built the UGC campaign around that secondary feature. Creators talked about dressing the dog. They didn't sell the apparel try-on. They didn't pitch the quiz. They opened on the magnet, did a personal reaction, threw to the product in one line, and got out.
The funnel:
Here's the thing nobody talks about. The campaign didn't work because the creators were great. It didn't work because the videos hit a production bar. It worked because the concept had a share-coefficient before we shot a single frame.
That's the operator gap. Most teams running UGC inside non-viral products optimize the wrong layer. They iterate on creator selection. They iterate on hook structure. They iterate on edit pace and B-roll. All of that is real work. None of it fixes a concept that doesn't travel.
If the concept doesn't have a share-magnet built into it, the campaign caps at your paid baseline minus production cost. You're paying for creator distribution, plus production, plus management overhead — and you get the same CAC you'd get from running paid ads. There's no organic multiplier, because nothing about the output makes a viewer want to send it to a friend.
This playbook is the upstream layer. How to spot a share-magnet concept inside a product that doesn't naturally travel. How to brief creators around it without diluting the primary product story. How to track from the share event back to monetizable action. And how to recognize when the magnet isn't working and you should kill the campaign before you burn more weeks.
It's four sections. Each section is operator-grade — what we do, in what order, with what filters. No frameworks for the sake of frameworks. If you run UGC at a consumer mobile product and you keep hitting paid-baseline CAC with no organic lift, the answer is almost always upstream of where you're looking.