Bonusing & Rewards, within Player Value Insights, is the model layer that decides which bonus each player gets, how much, and when – driven by their predicted churn risk and lifetime value – so bonus budget lands on players whose behavior it changes, not those who'd have deposited anyway. A blanket deposit match over-rewards loyal players, underwhelms recreational ones, and leaks to abusers; sized offers do none of those. It runs on your ticket data through Insight Tech, Sportradar's AI models hub – the family of models that run on your ticket data and power capabilities across trading, player value, and player protection.
These models set the mechanism – free bet, deposit reload, wagering cashback, loyalty points, free spins – the exact amount, calibrated to a player's own turnover, and the moment to send it, all from their predicted churn and lifetime value, so each offer is sized to the player receiving it.
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The model predicts the probability and likely size of a player's next deposit from their deposit cadence, wallet balance, and upcoming catalysts – so you reserve deposit incentives for players whose organic likelihood is dropping and stop subsidizing the ones already reaching for their wallet.
Discover more The model reads non-recreational patterns – covering both sides of a two-way market, hunting void-heavy lines, clustering with linked accounts – and automatically holds bonus visibility and redemption back from flagged accounts, so your budget reaches genuine players.
Discover more Where you want execution as well as intelligence, the Reward Engine delivers calibrated bonuses and the Event Processing Engine triggers them on live events – a settled bet, a zero balance, a session milestone – so the offer arrives when it's relevant, not on a fixed calendar.
Discover more A bonus you can't measure is a bonus you can't improve. Every offer is tracked back to what it returned, by segment and by mechanism, so you can see which bonuses earn their budget and shift spend toward the ones that do.
Discover more Scores, offer recommendations, and triggers feed the bonus engine and player-account platform you already run through lightweight APIs, or you run execution on the Reward Engine – and view it all in the Insight Tech Console.
How does it decide which bonus to give a player?
It combines each player’s predicted churn risk, lifetime value, and typical turnover to select the mechanism (free bet, deposit reload, wagering cashback, loyalty points, free spins), calibrate the amount, and time the trigger – rather than applying one blanket offer to everyone.
Yes. The deposit-propensity model predicts the likelihood and size of a player’s next deposit, so you can reserve deposit matches for players whose organic likelihood is falling and avoid subsidizing deposits that were already coming.
It identifies non-recreational patterns – arbitrage, matched betting, linked-account clustering – and automatically withholds bonus visibility and redemption from flagged accounts, protecting your bonus budget without manual review. This is a bonus-efficiency control, not a player-protection tool.
No. The intelligence feeds the bonus engine and player-account platform you already operate through APIs. Where you want execution too, the Reward Engine and Event Processing Engine are there – but they’re an option, not a requirement.
No. Bonusing models run on the same ticket-data integration as trading and player protection, but each runs independently – bonus-efficiency scoring never feeds player-protection decisions.
