Retention AI reports that iGaming platforms frequently lose revenue by distributing promotional bonuses to player segments where such incentives prove detrimental. The company identifies three distinct user profiles that experience negative outcomes from standard bonus campaigns.
Long-term players maintaining consistent weekly spending of €200 often disrupt their regular gaming habits when offered percentage-based promotions, resulting in increased short-term losses and extended absence periods. Users registered across multiple platforms typically engage solely to claim promotional value before departing, generating traffic without converting to long-term revenue.
Additionally, players exhibiting rising bet sizes and prolonged session lengths may experience accelerated dependency when exposed to additional financial incentives, raising regulatory compliance concerns.
Algorithmic Bonus Allocation
Retention AI engineers utilize uplift modeling equipped with negative uplift detection to determine which users should be excluded from promotional campaigns. The system evaluates individual gaming patterns to prevent incentives from interfering with regular behavior or triggering compliance flags. Viktor Andriychuk, iGaming AI Engineer at Retention AI, states that withholding bonuses from specific segments functions as a revenue preservation measure.
The analysis was published through R2B.News.