Sports gamingImproving User Quality for Thrillzz Through AI Powered Acquisition Optimization
Thrillzz had installs. What it wanted was better users behind them — people who stayed and played once the app was open.
- Objective
- Better quality acquired users
- Approach
- AI-powered acquisition optimisation
- Funnel focus
- Post-install quality, not installs alone
The brief
Better users, not just more of them.
Thrillzz came to us with a quality problem rather than a volume problem. Users were arriving; too few of them were the kind that stick around.
The approach
Teach the system what a good user looks like.
We used AI-powered acquisition optimisation, feeding the campaign signals from what users did after they installed. It learned to look for the people who went on to engage, and to spend less on the ones who didn't.
Where the work focused
Life after the install.
Post-install quality was the measure, not the install count. That shift changes which placements look good: some cheap sources turn out expensive once you see what their users do next.
What it delivered
Smarter acquisition, better users.
The outcome was improved user quality through smarter acquisition optimisation — the same budget pointed at people more likely to become real players.
Cheap installs are the most expensive thing you can buy.
