What problem was Gains trying to solve? 

Social casinos face a unique mix of fraud vectors. Gains was fighting abuse across three core areas at once

1. Promotion abuse: Gains offers compelling incentives, including a 150% welcome bonus and a 100k token referral bonus. These promotions attracted bad actors creating multiple accounts to farm rewards.
2. Chargeback payments: Fraudsters attempted to fund accounts using stolen or disposable credit cards, then initiated chargebacks after extracting value.‍
3. Redemption Abuse: Paying out fake users and multi-accounters would have cost Gains hundreds of thousands of dollars in redemption losses.

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What was Gains using before Verisoul? 

Gains relied on a fraud product bundled with its payment provider. While it technically covered chargeback risk, it wasn't tuned for social casino traffic and introduced major tradeoffs:

• High Decline Rate and False Positive Rate: 24% of transactions were declined, indicating the tool was blocking a massive amount of potential revenue.
• High Cost: The solution cost ~$0.75 per transaction.‍
• Trust Issues: Legitimate users were frequently blocked, suppressing revenue and hurting player trust.

Why did Gains choose Verisoul? 

Gains needed a solution that could address multiple risk vectors without stitching together multiple point solutions. Verisoul stood out because it addressed account integrity, promotion abuse, payment risk, and redemption fraud in a single system.

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How does Verisoul’s account-level signals outperform payment fraud models?

Most payment fraud systems are built around single-session payment risk. They evaluate a transaction in isolation (Credit Card + IP + User Agent) and decide whether to block it. That approach misses the broader picture of who the user actually is.

Verisoul evaluates account-level risk, using longitudinal signals that compound in accuracy:

• Identity Signals: Email age, reputation, and reuse across accounts.
• Behavioral Signals: Registration velocity, signup patterns, and in-game behavior consistency.
• Longitudinal Data: Risk scoring that improves over time instead of resetting every session.

This gives Gains a durable understanding of whether an account is a real player or a professional fraudster.

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How exactly does Gains use Verisoul in production?

Because Gains controls its full infrastructure stack, the team integrated Verisoul natively alongside KYC and payments.

Their workflow looks like this:

1. Signup: (prevented >$100K of bonus abuse)
   
   • Verisoul evaluates every account and assigns risk signals in real time
   • Users that Verisoul detects as linked to previous signups do not get sign-up bonuses
2. Payments: (chargeback rate down to 0.11%)
   
   • High-risk users are restricted to instant-settlement crypto payments, eliminating chargeback exposure
   • Low-risk users retain access to traditional payment methods like Credit Card
   • Completely removed reliance on other 3rd party fraud system
3. Withdrawals & Redemptions (increased company margins by 7%)
   
   • The fraud team uses Verisoul daily to monitor traffic and manually review edge cases
   • Users connected to other accounts (multi-accounting) or known abusers are blocked from withdrawals and redemptions.

Crucially, Gains turned off the payment provider’s fraud system entirely and shifted decision-making upstream to the account level.

How did Verisoul Improve Gains?

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