Our Bonus Abuse prevention model identifies players who are likely to
abuse bonuses, allowing you to cut back on offers proactively. This ensures you're
targeting the right audience and protecting your platform from misuse.
AI MODEL
BONUS ABUSE
Our Bonus Abuse prevention model identifies players who are likely to
abuse bonuses, allowing you to cut back on offers proactively. This ensures you're
targeting the right audience and protecting your platform from misuse.
MISUSE OF BONUSES
50% of all frauds in the iGaming, Online
Casinos and Sports Betting businesses involve Bonus
Abuse.
Bonus abuse disrupts the intended benefits of your promotions and
impacts your bottom line.
Unfair advantages: Bonus abuse leads to a distorted playing field, affecting game
integrity and diminishing the overall player experience.
Risk of financial and reputational damage: Abused bonuses leave you exposed to financial
loss and harm to your brand's reputation.
BONUS ABUSERS ARE SHREWD
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.
A major issue for iGaming operators, bonus abuse typically costs around 15% of annual gross
revenues.
Identifying bonus abusers requires a concerted effort across multiple teams, including Marketing,
Promotions, Customer Service, Risk & Compliance, Legal, and Business Intelligence.
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:
Coordination Delays
Knowledge Silos
Resource Allocation Issues
Collaboration Complexity
Inconsistent Data Handling
Accountability Gaps
Higher Risk of Errors
Importance of Not Flagging Genuine Players as Bonus Abusers
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.
GAMWIT’s Approach to Solve These Complex Challenges
Behavior Based - Not Rule Based
Rather than relying on rigid, rule-based systems, GAMWIT uses
advanced AI and ML algorithms to detect the behavioral patterns that indicate bonus
abuse.
Multiple Iterations For Accuracy
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.
Behavior Based - Not Rule Based
Rather than relying on rigid, rule-based systems, GAMWIT uses
advanced AI and ML algorithms to detect the behavioral patterns that indicate bonus
abuse.
Multiple Iterations For Accuracy
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.
Instant Analysis of Large Volumes of Data
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.
Specific and Targeted Predictions Without the Need for
PII
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.
Player Behaviors are
Dynamic
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 Adapts Dynamically
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.
Business Benefits
No more free rides for bonus abusers!
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.
Plug and
Play
Solution - No Technical Expertise Necessary!
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.
Works with
all Data Formats
Our expert team ensures seamless integration of your gaming data with
GAMWIT, no matter how or in what format it’s collected or stored.
Runs
Automatically, so you can Focus on Growth!
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.
