Player GGR Prediction for iGaming — 30-day player revenue forecasting

Player GGR Prediction is a forecasting model that estimates the sportsbook gross gaming revenue an individual player is expected to generate over the next 30 days. It is aimed at iGaming operators who want to compare future revenue potential with recorded performance when reviewing players and planning retention or CRM activity.

Forecast parameters and outputs

The model produces a numerical player-level revenue estimate with a 30-day forecast period. Scoring runs daily for eligible players, so the estimate is refreshed on every daily cycle. The estimate is computed from player activity and context signals available at the scoring point. The output is available in Gamblitude Attributes, Segments and dashboards, where it can be used for filtering and reporting alongside other player data.

Use alongside recorded GGR

The forecast is intended to be read next to recorded GGR rather than in isolation. Comparing the predicted 30-day value with a player’s actual recent gross gaming revenue shows whether potential is rising or falling. This helps analysts identify players whose expected value diverges from their observed performance and investigate the cause.

Segmentation and CRM planning

Predicted revenue can be used to build segments and to prioritise CRM activity. Operators can separate players by future revenue potential and plan offers, reviews or retention actions for each group. The product is designed to support review, segmentation and CRM planning using future revenue potential compared with recent performance.

Sportsbook operators running daily CRM cycles can use a per-player 30-day revenue estimate to decide which accounts to review first and how to segment them.