You don't need a machine learning team to fix the churn you can already see. You need the night shift answered, the stuck withdrawals worked, and the signals your chat is already generating to reach the CRM you already pay for.
Read this page instead of the module pages if most of the following are true:
None of that disqualifies you. It changes the order of what you do.
Most AI retention vendors — including our own Retention Engine — need something you may not have: a history of players who already churned, and campaigns that already ran. A model that predicts churn learns from churn that happened. No history, nothing to learn from.
So when a vendor sells you a predictive model on day one, one of two things is true. Either they're going to spend your money building something that can't work for months. Or the model is thin, and the results are a story.
We'd rather say it plainly: if you don't have the data yet, a model is the wrong first purchase.
That isn't a reason to wait. It's a reason to start with the part that pays immediately.
Before any model, three things leak revenue at almost every operator this size. None of them need machine learning. All of them need something running 24/7 that doesn't get tired.
Players deposit and play at night and on weekends — exactly when a small support team is thinnest. A player waiting forty minutes on a payment question at 2 a.m. isn't a support problem. It's a churn event with a timestamp.
A withdrawal sitting too long is the single most reliable predictor that a player is about to leave — and it's visible in your payment data before the player says a word. Most operators find out when the complaint arrives. By then the decision is made.
A player who contacted support twice in 48 hours about a withdrawal is a churn signal. In most stacks that signal dies inside the ticketing tool. Your CRM never learns it, so nothing happens.
These are rules, not models. If a withdrawal is older than N hours, act. If a deposit fails, offer another method before the player gives up. If KYC stalls, intervene. Deterministic, explainable, live in weeks — and they work on day one because they don't need to learn anything first.
Short list, on purpose:
Not required: a data warehouse, a data team, twelve months of campaign history, or a CRM migration.
If you have a CRM, we work on top of it. If you don't have one yet, the rules run without it.
Start writing an event log from day one: every deposit, every withdrawal and how long it actually took, sessions, support contacts and how they resolved, bonuses and whether they were used, KYC steps and where they stalled. One player id, one timestamp, one event type.
This is a few days of engineering. It's also the only thing on this page you can't buy later.
Data you didn't record doesn't exist. Operators who decide to "do AI next year" discover they have dashboards and aggregates, and no event history to train on — so they wait another year. Writing the log now is what makes the next step cheap instead of impossible.
Once the log has a real history behind it — players who stayed, players who left, campaigns that ran — the model-based work becomes worth buying. That's when Retention Engine earns its place: uplift scoring that tells your CRM which player actually changes behaviour because of a bonus, and which one was coming back anyway.
Not instead of what's on this page. After it.
Some churn doesn't respond to any of this.
If players leave because withdrawals take seven days, faster apologies won't keep them. If the game library is thin, no intervention fixes that. If your bonus terms are the complaint, the answer is the terms.
The first thing we do in a review is work out how much of your churn is actually addressable by intervention. Sometimes the honest answer is: fix payouts first, call us after. We'd rather tell you that in thirty minutes than after a contract.
Put in your contact volume and what a contact costs you. It'll show what the routine share is worth and how that compares to hiring the capability in-house.
We look at your support volume, your night coverage and your withdrawal times, and tell you honestly whether there's enough here to be worth doing.
Or write: hello@arctura.eu