Nine models. Each one answers a question your team already asks.
Every model is trained on your own players. Three come in every package, the rest are add-ons. Pick a model to see what it reads, what it returns, and a real screen of it.
The nine models
For the marketing teamSee the Marketing Intelligence solution
Player ChurnIn every package
Who is likely to leave in the next seven days?
Reads behavior, not just transactions, and lists the players about to lapse while a campaign can still reach them.
Player Lifetime ValueIn every package
What is each player worth over a lifetime?
Puts every player in a value band at any stage, so retention and bonus spend go to the players who return it.
Early VIP PredictionIn every package
Which of this week's signups are on a VIP path?
Reads the first days after a first deposit and flags likely VIPs before their spend would show it.
Player FrequencyAdd-on
How often will each player come back this week?
Predicts each player's active days, 0, 1 to 4 or 5 to 7, so promotions land on a schedule instead of a guess.
Game RecommendationAdd-on
Which game should each player be shown next?
A recommended-for-you row per player, 20 to 50 titles deep, across new, popular and top-rated games.
Hold PercentageOn request
What share of each player's wagers do we keep?
Forecasts revenue per player over a chosen period, instead of one number for the whole platform.
For the risk teamSee the Risk Intelligence solution
Bonus Abuse PreventionAdd-on
Which accounts are likely to work the promotion?
Flags likely bonus abusers before the offer goes out, so the budget reaches players who will play.
For the compliance teamSee the Compliance Intelligence solution
Responsible GamingAdd-on
Who needs a look before the regulator asks?
Flags patterns associated with harm early. GAMWIT supports the process; your team makes the decision.
Anti-Money LaunderingAdd-on
Which activity should the compliance team see first?
Flags transaction and behavior patterns worth a review, so the MLRO works from earlier, clearer signals.
Where the predictions show up
Three tools on the same data, for every team.
What is happening, at each level of the business?
Sixteen dashboards, with a different screen for executives, managers and operations teams.
Which KPI just crossed the line you set?
Email, app or SMS the moment a KPI leaves the range you set, with escalation if nobody acts.
The question the dashboard did not answer.
Your team builds the view with drag and drop on predefined KPIs, without a ticket to the data team.
What is in the package
One platform, one connection to your data, one bill. Add models as you need them.
In every package
Three models every GAMWIT package includes.
- Player Churn
- Player Lifetime Value
- Early VIP Prediction
Add-ons
Licensed one at a time, on the same platform and the same data.
- Player Frequency
- Game Recommendation
- Bonus Abuse Prevention
- Responsible Gaming
- Anti-Money Laundering
On request
Built and in the platform, packaged when you ask.
- Hold Percentage
Pricing depends on players and models. Ask sales for a quote.
From your data to a scored list, in five steps.
The same flow for every model, as it runs in GAMWIT. No data scientist needed on your side.
- 01CreatePick the model and the brand or segment it scores.
- 02TrainOn your own history. GAMWIT reports the players and the period it learned from.
- 03Results, EDA, driftHow often it was right on players it had never seen, the behavior behind the score, and whether that behavior has drifted since.
- 04PredictScore the live base. Every run is listed with its time, owner and player count.
- 05DownloadTake the scored list into your CRM or your team's dashboards.
Steps as they appear in the GAMWIT platform
Run any of them on your own players.
The models are already built. The work is connecting your data, and that takes 2 to 4 weeks.