Player intelligence · iGaming
See what every player is worth - before the market does.
Sellrise is a machine-learning layer on top of your CRM. It scores value, churn and traffic quality per player, and hands your team a clear next move - so you scale winning sources before the 14-day hold is even over.
- Classical ML - gradient boosting, not LLM guesswork
- A layer on your CRM, not a replacement
Illustrative. Lead time depends on volume and data quality.
3-arm test on your own players. Illustrative - no published accuracy figure.
The problem
Retention still runs on yesterday's averages.
Traffic judged blind
You wait out a 14-day hold before you know if a source paid - so you scale blind or freeze good budget.
Budget spread flat
Retention spends the same on everyone, with no read on who is actually worth it.
Priced out of Tier-3
Per-user Tier-1 tools never close the maths at $5 ARPU, so the tooling never arrives.
The product
Three things your team opens every morning.
Every screen answers one question and drives one decision - no dashboards full of numbers with nothing to do about them.
Predict · Player intelligence
In productionKnow who's worth what.
Open any player and see predicted value, how likely they are to churn or deposit again, and the single best next move - no guessing from a spreadsheet.
- Predicted LTV, as a range
- Churn and second-deposit probability
- A recommended action from your own catalogue
The decision it drives
Who to reactivate now, and with which offer.
Acquire · Traffic intelligence
In pilotCall the source before the hold ends.
Affiliate quality is normally judged only after a two-week hold. Sellrise forecasts each source's value by around day 6 - so you scale winners a week early and cut the rest.
- Scale / Hold / Cut per source
- Fraud and abuse flagged on the funnel
- Forecast calibrated on your data
The decision it drives
Which traffic to scale today, and which to freeze.
| Source | Players | Day-6 forecast | Call |
|---|---|---|---|
| #A7 · aff_kb | 1,204 | $512 PLTV | SCALE |
| #B2 · smrt_x | 860 | $188 PLTV | HOLD |
| #C5 · push_lt | 2,015 | $61 PLTV | CUT |
| #D9 · rev_09 | 540 | abuse pattern | FRAUD |
Engage · Smart retention
In productionYour chains, made intelligent.
Keep the drag-and-drop chains your team already builds. Sellrise decides the timing, the offer and the channel per player - and a live queue surfaces offers for a human to approve before they send.
- ML timing and dynamic waits
- Recommended, A/B-tested bonuses
- Cheapest-first channel cascade
The decision it drives
The right offer, moment and channel - per player.
The edge
In pilotRead a source before the 14-day hold clears.
The whole market waits out the same two-week hold before judging affiliate traffic. Acquire's goal is to call a source's quality earlier - so you scale winners and cut dead sources a week before anyone else moves.
In pilot on your live traffic - a goal, measured on your data, not a guarantee.
Predict and Engage run in production today; Traffic quality is in pilot.
Built for
The markets you actually run.
Africa, India, LatAm - high volume, thin margins, players worth a few dollars. Tier-1 CRM pricing never closes there, so the tooling never arrives. Sellrise is built to stay affordable where per-user pricing breaks.
See pricingAffordable by design - an intent on pricing, not a promised return.
Priced to work where margins are thin.
The maths that breaks Tier-1 CRM.
Sits on the CRM you already run.
Run many brands from one place.
One place
The whole operation, at a glance.
Read value, traffic and retention across brands - then drill into a single player.
Under the hood
One honest pipeline.
We ask for raw data - not pre-built aggregates - to avoid the target leakage that flatters a model in demos and fails in production.
How it worksFour casino tables via API - users, transactions, game sessions, game events.
One vector per player, from cohort and activation speed to payments and play.
Separate gradient-boosting models, consolidated into a single decision.
A live queue surfaces an offer in about 6 seconds - a human approves before it sends.
Manual vs Sellrise
Same team, same tool - sharper calls.
Sellrise makes the timing, the offer and the traffic call smarter, without a migration.
Measured, not claimed
We never publish an accuracy number.
Every deployment runs a 3-arm test on your own players, so the uplift you see is measured - not a figure we invented.
No messages - a clean control group.
Your team's current playbook, unchanged.
Sellrise picks the timing, offer and channel.
The number you get is the number measured on your data.
FAQ
Straight answers.
Is this an LLM or generative AI?+
No. Sellrise runs on classical ML - gradient boosting and reinforcement learning. There's no generative model in the money decisions.
Do you hold our players' personal data?+
No PII leaves your side - phone and email stay with you. Inside Sellrise a player is just an ID, and data streams via API into ClickHouse on your own infrastructure.
Do we have to replace our CRM?+
No. Sellrise is a prediction layer on top of the CRM you already run - keep your team and tool, no migration.
How fast do we see a result?+
In a pilot, initial training runs in about 30 minutes; traffic-quality forecasts target around day 6. These are pilot goals, measured on your data and confirmed on your environment - not guarantees.
Is it affordable for Tier-3 ($5-ARPU) markets?+
It's priced to stay workable where per-user Tier-1 pricing breaks - a setup fee plus a subscription that scales with volume, not a percentage of your GGR.
How do you prove it works?+
On your own data: a 3-arm A/B (control vs ML vs manual) for player value, and the market's actual 14-day numbers for traffic. We say what's proven and what isn't.
Bring one traffic source. We'll show you the call.
A 30-minute walkthrough on your stack and your numbers - how Sellrise scores value, forecasts traffic and slots into your retention flow.