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ML player retention platform for iGaming

We analyze every player.We suggest the best action.We show results in the first month.

With Retivo your team knows who is about to leave and who is ready for the next deposit. The model reads it from player behavior and hands your team a ready list every day: who to grow, who to win back, who isn't worth the budget. Sits on top of your stack - live in days, not months.

Runs on your dataClassic ML, not an LLMA decision per player in ~6 seconds
player_decision_queue
illustrative
Next best action · today
player_8842 · high value, coolingWin back
player_2201 · second deposit likelyGrow
player_5619 · stable, low headroomHold
player_7730 · negative expected valueDrop
DecisionGrow, hold, win back or drop each player.
Deposits & GGR vs baselineillustrative
Baselinebaseline
Manual CRMmeasured
Retivomeasured
Fits into your stack

A layer on top of what you already run.

Any PAM via API
Your CRM
Push · email · SMS · messengers
Call center & telephony
What holds retention back

Dashboards tell you what happened. They don’t tell you what to do.

01

A dashboard, not a decision

You see churn rising and revenue slipping, but nothing tells you which player to touch, with what, and when.

02

Segments instead of players

Segments and rules treat thousands of players as one. The money is in the individual player your team never gets to.

03

Priced for Tier-1

The tools that can do this are built for the giants and priced accordingly. Tier-3 operators and affiliates are left with Excel.

Five products, one platform

Five products around one question: what to do with each player.

Each product solves its own task; together they give the full picture - how much money a player will bring and what to do with them next. Start with the base modules or take everything at once.

01Base

Retention Automation

The core. Timing, offer and channel for every player in your flows - plus a workspace for the retention team and call center: roles, telephony, notes, calendar.

02Base

VIP Radar

Spot cooling VIPs before they are gone and recognize valuable players in their first week of play.

03Recommended

Traffic & Affiliates

Early quality scores for sources and affiliates - days before the 14-day hold shows it.

04Recommended

Bonus Economics

See how much money each bonus really brought - and which ones are wasted on players who would have stayed anyway.

05Recommended

Risk & Fraud

Withdrawals without deposits, abnormal win rates on a single provider, bonus abuse - flagged for review before payout.

Included

Analytics & API

The shared foundation under all products: 36 slices, funnels, cohorts, a 360° player card and a two-way API. Not sold separately.

Inside Retention Automation

A ready workspace for your retention team.

A prediction alone doesn't bring a player back - people do. Retivo turns predictions into a daily list of players: the manager assigns it across the team, every operator sees who to call or message and what to offer, and the outcome is logged in the system - who picked up and who came back.

Telephony in the player card - one click to call, and the outcome is logged right away: reached, no answer, interested.

Notes with conversation history - the whole team sees what was discussed with the player before, so nobody asks the same question twice.

Call calendar - the next contact is scheduled for the hours the player is usually online, not when it suits the operator.

Transparent results - who was called, who picked up, who came back. No more "we called them, trust us" from Excel.

Bonus Economics

What bonuses really bring back - the honest number.

In a plain report every bonus looks profitable, because you give bonuses to your most active players - and they stay longer with or without one. Retivo compares similar players with and without the bonus and shows what the bonus itself added. The goal is not one bonus for everyone, but an individual offer from your set - given only to players who actually need it.

What a plain report shows+33%

"Players with a bonus retain 33% better." But that's not the bonus - that's the players: you gave it to your most active ones.

What the bonus actually added+1.4%

The same bonus in a fair comparison of similar players. The gap between the two numbers is budget spent for nothing.

The numbers illustrate the method - yours are measured on your data. Services that earn on send volume have no reason to show you the right-hand number. We do: we earn when you save.

Traffic & Affiliates
Recommended

Analyze traffic quality in days, not a 14-day hold.

The market standard is a 14-day hold before you know which source brought real players. Our model scores traffic quality within the first days: you scale the sources that work right away and cut the losing ones without waiting out the hold. And you stop spending budget on traffic that will never pay back.

How you'll see the result

We start on part of your base - and show the difference in GGR.

No need to take our word for it, and no need to break what already works. Retivo starts with part of your players while the rest carry on as before - a month later you compare both parts and see exactly what Retivo added.

01

Start on part of the players

Retivo starts working with part of the base. The rest of your players stay on your current campaigns and bonuses.

02

One month, same conditions

Both parts go through the same month: same season, same promos. The difference can't be written off as luck.

03

Compare the result

We count deposits and GGR per player on both sides. The difference is Retivo's contribution - in hard numbers, not promises.

We don't publish pretty percentages from other people's case studies - your number is measured on your players.

The evolution of retention

From manual campaigns to decisions made by a model.

1.0

Manual

The team builds campaigns by hand and picks segments on experience and gut feeling.

2.0

Rules & triggers

Campaigns send themselves, but the rules are the same for everyone: the system can't see what each player is worth.

3.0 · Retivo todayhere / today

The model decides

The model scores every player, suggests an action, and its contribution shows up in deposits and GGR within the first month.

4.0 · next stepnext

Acquisition + retention

One model follows the player from first click to VIP: traffic quality and retention together.

How it works

Three steps from connection to ready decisions.

Connection

We connect to your data through your API - days of your team's work, not a quarter-long project. Personal data never leaves your servers.

Prediction

Six models score every player: churn probability, next-deposit probability, future value.

Decision

Scores collapse into one action per player: which offer, which channel, and when. The team works from a ready list.

Data & access

Your data stays with you.

The model doesn't need players' names or documents - it works with anonymized IDs and behavior. Everything tied to a player's identity stays inside your infrastructure.

No personal data stored

We work with player_id and behavior. Names, emails and documents stay with you.

Access control & audit

Team roles, an action log, and a security review before launch.

Certifications and licence numbers are added here after the security audit.

Comparison

How Retivo differs from Tier-1 CRMs.

Proof of results
Retivo
Start on part of the base - your number in GGR
Tier-1 CRM
Case studies and broad claims
Implementation
Retivo
On top of your CRM, nothing gets broken
Tier-1 CRM
System replacement and migration
Team workspace
Retivo
Roles, telephony, notes, calendar
Tier-1 CRM
Usually none - you need a separate tool
Bonus economics
Retivo
See which bonuses work and which are wasted
Tier-1 CRM
Not shown
Low-ARPU markets
Retivo
The economics work even at $5 ARPU
Tier-1 CRM
Priced for Tier-1
Model type
Retivo
Classic ML, not an LLM - explainable decisions
Tier-1 CRM
Rules or a black box
Bonus crediting speed
Retivo
~5 seconds
Tier-1 CRM
up to ~180 seconds

Results in your first month.

We connect Retivo to part of your players, and a retention consultant helps set up the first campaigns. By the end of the pilot you see the difference in deposits and GGR - then you decide based on numbers, not a pitch deck.

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