The prediction layer that measures its own uplift.
Retivo scores every player, turns the scores into one decision, and proves the lift with a control group. It runs on your stack and uses classical machine learning - not an LLM.
Designed to plug into your stack
Dashboards tell you what happened. They don’t tell you what to do.
Dashboards without a decision
You see churn rising and revenue slipping, but nothing tells you which player to touch, with what, and when.
Broad strokes, not per-player
Segments and rules treat thousands of players as one. The value hides in the individual you’re not acting on.
Priced for Tier-1
The tools that do this are built and priced for the giants. Tier-3 and affiliate teams get left with spreadsheets.
Predict, decide, and act - on the players you already have.
Each product carries its own model set and its own accent. They share one player object and one decision engine.
Read traffic quality in days, not a 14-day hold.
The market standard is a 14-day hold before a source proves out. Acquire's goal is to call quality far earlier, so you scale winners while everyone else is still waiting. In pilot, measured on your own data.
See the traffic-quality playPriced to work where per-user tools break.
FastTrack, Optimove and Smartico charge per user. At Tier-3 ARPU (India, Africa, a player worth about $5) that math does not close. Retivo is built to stay affordable where per-user pricing breaks. Affordable by design, not a guaranteed payback.
We prove the lift with a three-arm test - not a slide.
Every deployment runs a control group, your current manual CRM, and Retivo side by side on the same players. You see the difference between all three.
We publish no invented accuracy figure. The number you get is measured on your players.
From manual campaigns to a measured, predictive layer.
Manual
Hand-built campaigns and gut-feel segments.
Automated
Rules and triggers - faster, but still blind to per-player value.
Measured & predictive
Per-player scoring, one decision, uplift proven with a control group.
Acquisition-aware
Retention and traffic quality on one model. In pilot.
Three moves from raw data to a live decision.
Connect
We read your four core tables through your API. No PII leaves your servers.
Predict
Six models score each player across 36 slices. Training takes about 30 minutes.
Decide
A resolver turns scores into one action per player, served back in about six seconds.
Security is the first conversation, not the last.
The model works over anonymised identifiers. Your raw player data stays where it already lives.
No PII held
We operate on player_id and behavioural features. Names, emails and documents stay on your side.
API-only, your ClickHouse
Data is read through your API into a ClickHouse instance on your servers.
Audited before scale
Pen-test during the pilot, roles and access controls, audit before any rollout.
Same job, honest about the difference.
See it on your own numbers
We run a control group against your current CRM and show the difference. No invented figures - your number.
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