Your AI users don’t churn. Or do they?
Wednesday 22 April · 16:00 CET · 30 min
Your product has new kinds of users. Some are AI agents running automations on behalf of your customers. Others are humans — but they’re using AI features inside your product in ways that look nothing like traditional adoption.
The result: your health metrics need a re-do or you are flying blind.
Login frequency, feature adoption, seat utilization — the metrics CS teams have relied on for years were built for a different world. In a mixed environment, they give you a false picture of customer health. And a false picture means missed churn signals.
In this session, Johan Nilsson — founder of Startdeliver and Jecta — shares a practical framework for measuring success in a world where humans, AI-assisted users, and autonomous agents all interact with your product differently.
You’ll leave with:
→ A clear model for thinking about the three types of users in your product today → What signals actually indicate health in a mixed environment — and how to weight them → A scoring approach you can start applying this week
Hands-on, 30 minutes, no fluff. Just a framework built for the reality CS teams are dealing with right now.
Free to attend. Seats are limited.
Register above to secure your spot.