Help CRM teams make smarter bonus decisions based on churn risk and player preferences.
Personalized Retention Flows help CRM teams identify players at risk, understand what they are likely to play, and select a more relevant bonus to bring them back. ZingBrain AI combines churn prediction, game preference prediction, and bonus selection into one daily retention flow.
Instead of sending the same reactivation offer to a broad segment, ZingBrain AI decides who is at risk, what games they are most likely to play, which approved bonus is the best fit, and what output to send to the CRM or bonus system. The goal is to make retention offers more relevant, targeted, and easier to automate.
Generic bonuses, over-incentivization, and wasted CRM budget are common when teams rely on static inactivity rules. Valuable players can start drifting before standard reports show the risk. Personalized Retention Flows help teams act earlier and make bonus decisions based on churn risk, player value, and game preference.
ZingBrain AI combines churn prediction, preferences, and bonus selection in one daily flow.
ZingBrain AI identifies players who are more likely to stop playing or become inactive based on recent behavior.
The system estimates which games, categories, providers, or mechanics are most relevant for each player.
ZingBrain AI helps choose the bonus with the best expected fit for that player from the available approved options.
The system creates a daily output with the player, bonus, and recommended game context for CRM or bonus issuing.
Built to support daily CRM operations, not replace them.
CRM teams can focus on the players who actually need attention, avoid generic mass bonuses, and connect each retention action to the player's predicted preferences.
The flow can support existing bonus processes instead of replacing them: operators keep control over available bonuses, business rules, cooldowns, and final execution.
Five ways CRM teams use Retention Flows
From churn prevention to CRM automation, the most common ways operators apply Personalized Retention Flows in daily CRM operations.
Target players before they become inactive and give them a more relevant reason to return.
Bring players back with offers linked to games they are more likely to enjoy, rather than generic campaigns.
Avoid unnecessary bonuses for players who do not need intervention or who recently received an offer.
Use bonuses more efficiently by matching them to player churn risk, predicted value, and game preferences.
Generate a structured daily player-bonus output that can be used directly by CRM systems and bonus tools.
From generic bonuses to personalized player retention
Smarter retention, lower bonus spend
Personalized Retention Flows help operators move beyond one-size-fits-all reactivation campaigns.
Smarter bonuses. More relevant retention. ZingBrain AI connects churn risk, player preferences, and bonus selection into a practical daily flow — helping CRM teams act earlier, spend bonus budget more carefully, and bring players back with more relevant offers.
