Start from the result you need
Six ways operators put Sellrise to work. Each runs on the same integration and the same four tables by Player ID.
- Forecasts and scenarios
Player retention that acts on the prediction
Most retention runs on manual lists and one offer for everyone. Sellrise scores every player, flags who is leaving before they are gone, and tells your team who to contact today, with which offer and through which channel.
See this use case - Traffic quality
Know which traffic source pays back, before the hold clears
Affiliate quality is usually judged only after a two-week hold. Sellrise reads a source about a week after sign-ups, so you cut a bad source earlier and scale the ones that pay.
See this use case - Call analytics
Every call scored, not four in a hundred
A QA team reviews a small share of calls by hand. Sellrise scores every call against your script and shows exactly where an operator lost the deposit.
See this use case - Forecasts
Analytics that works where a player is worth a few dollars
High volume, thin margins, low ARPU. Per-seat tools price themselves out here, so the analytics never arrives. Sellrise is priced by volume, with the whole team included.
See this use case - Bonus matching
The right offer for each player, at the right time
A hand-built chain sends the same bonus to everyone on a fixed timer. Sellrise picks the promotion, the time and the channel for each player and shows the reason, your team sends.
See this use case - Forecasts
Spot VIPs early, skip the ones who won't pay back
VIP status is usually confirmed only after big spend, which is too late to shape it. Sellrise flags a rising player early and filters the non-promising ones, so the VIP budget goes where it returns.
See this use case
Let us prove it on your numbers
Open the demo right away, or start a pilot: a month on your players against a control group.