Solutions · Smart retention

Retention that acts on the prediction.

Player value tells you who is worth saving. This is the other half: deciding the timing, the offer and the channel per player - so the save actually lands.

  • ML timing and dynamic waits
  • Recommended, A/B-tested bonus per player
  • Cheapest-first channel cascade
  • Live queue, human approval, holdout for real uplift
The problem

You know who is valuable - but retention still runs on fixed waits, manager-guess bonuses and one default channel.

Why it costs

Right player, wrong moment or offer - the save misses, and good budget goes to sends that never convert.

What Sellrise does

The read, and the move.

Keep the chains your team already builds. Sellrise decides the timing, the offer and the channel per player, and a live queue surfaces each save for a human to approve.

Management action

Let ML set the moment, offer and channel per player - keep human approval on the send.

app.sellrise.ai/engage/queue
Live retention queue
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A human approves before any send.Demo data
What it answers
Who to save right now, and how?
The decision it drives
Timing, offer and channel - per player
Metric it moves
Saved sessions / uplift
Who it's for

CRM and retention teams.

How we prove it

Measured against a holdout group, so you see real uplift - not just activity.

Retention that acts on the prediction.

Player value tells you who is worth saving. This is the other half: deciding the timing, the offer and the channel per player - so the save actually lands.