Unfair advantages: Bonus abuse leads to a distorted playing field, affecting game integrity and diminishing the overall player experience.
Strain on resources: Managing and mitigating bonus abuse requires significant operational effort, with fraud management often (consuming up to one-tenth of an operator's revenue.)
Risk of financial and reputational damage: Abused bonuses leave you exposed to financial loss and harm to your brand's reputation.
Over 90% of bonus abusers have never been part of a data breach.
Most of bonus abusers
rely on
free
email
provider
They tend not to have any social media presence linked to their email address, making them harder to track.
However, relying on these teams can slow down the process of efficiently analyzing large data sets, making it harder to quickly and accurately spot bonus abusers. Some challenges that contribute to this include:
Incorrectly labeling legitimate players as bonus abusers can severely damage their experience and trust, ultimately hurting your business reputation and revenue.
It's essential to differentiate between genuine gaming activity and fraudulent exploitation of promotions. By making this distinction, you ensure that real players aren't harmed by overly strict anti-fraud measures.
With precise targeting of fraudulent behavior, iGaming, online casinos, and sports betting operators can protect their reputation and financial health while maintaining a positive player experience, building trust, and enhancing the effectiveness of marketing campaigns.
Incorrectly labeling legitimate players as bonus abusers can severely damage their experience and trust, ultimately hurting your business reputation and revenue.
It's essential to differentiate between genuine gaming activity and fraudulent exploitation of promotions. By making this distinction, you ensure that real players aren't harmed by overly strict anti-fraud measures.
With precise targeting of fraudulent behavior, iGaming, online casinos, and sports betting operators can protect their reputation and financial health while maintaining a positive player experience, building trust, and enhancing the effectiveness of marketing campaigns.
Rather than relying on rigid, rule-based systems, GAMWIT uses advanced AI and ML algorithms to detect the behavioral patterns that indicate bonus abuse.
Our Bonus Abuse prevention platform goes a step further by running multiple checks to ensure that only genuine cases of abuse are flagged, preventing you from mistakenly labeling legitimate players as abusers.
Rather than relying on rigid, rule-based systems, GAMWIT uses advanced AI and ML algorithms to detect the behavioral patterns that indicate bonus abuse.
Our Bonus Abuse prevention platform goes a step further by running multiple checks to ensure that only genuine cases of abuse are flagged, preventing you from mistakenly labeling legitimate players as abusers.
GAMWIT quickly analyzes large sets of player data, including variations in withdrawals, deposits, betting patterns, and activity levels. All this is powered by a set of proprietary features developed from decades of experience in the iGaming industry.
Thanks to its focus on player behavior and game-specific patterns, GAMWIT can accurately identify bonus abusers without requiring any Personally Identifiable Information (PII). This means you get precise predictions while protecting your players' privacy.
It varies across:
Game to
Game
Company to
Company
Demography to
Demography
Geography to
Geography
What signals a 'Bonus Abuser' on your platform might look
completely different on another platform.
Because GAMWIT’s model is trained on your unique data, it accurately detects behaviors
that are specific and relevant to your players.
GAMWIT’s AI is designed to quickly detect changes in bonus abuser
behavior over time.
As these shifts happen, the AI adjusts the model to improve prediction accuracy.
GAMWIT’s AI is designed to quickly detect changes in bonus abuser
behavior over time.
As these shifts happen, the AI adjusts the model to improve prediction accuracy.
This dynamic adaptability is something that would be nearly impossible for a human to replicate without bias.
Protect against bonus bagging, bonus hunting, bonus duping, multi-accounting, arbitrage betting, and chip dumping.
Cut down on unnecessary bonus spend.
Enjoy massive cost savings.
Achieve a higher ROI on your campaigns.
See a boost in NGR and hold percentage.
GAMWIT’s Bonus Abuse prevention model is a simple plug-and-play
solution, ready for use by your Marketing, Finance, Risk, and Compliance teams—no data
analytics or technical expertise needed.
This means you can quickly identify and categorize potential bonus abusers early in your
risk and mitigation process, saving valuable time and resources.
Our expert team ensures seamless integration of your gaming data with GAMWIT, no matter how or in what format it’s collected or stored.
Once integrated, GAMWIT runs automatically, delivering individual player predictions directly to your Risk, Marketing, and Customer Assistance teams—scientifically and consistently.
We can even help you integrate GAMWIT with your CRM systems, removing any guesswork and eliminating human bias. The result? Data-driven insights, tailored to your needs.