What is Offramp?

Offramp is a crypto neobank built for crypto natives. Through a self-custodial Visa debit card, Offramp lets users spend stablecoins and crypto at over 150 million merchants worldwide without giving up custody of their assets. With no maintenance fees and free crypto deposits, the product removes the friction between onchain balances and real-world spending.

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The Challenge

Offramp had built a globally accessible neobank. The next problem was distribution. The team identified their own users as a natural growth channel: people already using the product were best positioned to introduce it to others in their network. But turning users into a structured referral channel surfaced three specific frictions.

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They needed to:

• Avoid self-referrals: Without controls, users could refer to themselves to collect rewards, draining the program without generating real growth.

• Track attribution at scale: Linking each new user to the specific referrer who brought them in, across a global product with multiple onboarding paths, required a tracking and attribution stack.

• Tie rewards to actual revenue: A fixed sign-up bounty would pay out regardless of whether the referred user ever transacted. Offramp needed a reward model where referrer earnings were directly connected to the revenue generated by their referred users, so every payout reflected real value created.

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The Solution

After mapping out what building all of this in-house would require, the team concluded it would take months before the first referral could be tracked. Offramp chose Fuul instead: a purpose-built solution that covered every requirement and allowed them to launch the program in days.

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With Fuul, Offramp:

• Resolved attribution end to end: Fuul's attribution engine linked each new user to the specific referrer who brought them in and traced every qualifying operation back to the originating referral, giving the team full visibility into referral-driven activity without building any tracking infrastructure.

• Automated USDC reward distribution: Fuul calculated referrer rewards as a variable amount based on the revenue generated by each referred user's transactions and distributed USDC to referrer wallets automatically. 

• Implemented Sybil Resistance Guards: Fuul's sybil-resistant controls ensured rewards only flowed to real conversions. Self-referrals were filtered out before any payout was triggered, so every USDC distributed corresponded to a genuine user and a real transaction.

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Results

In the weeks following launch, Offramp saw notable results: the referral program had turned its existing user base  into a distribution channel, with 135 referrers organically bringing up to 300 new users to the platform.

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Conclusion

The Offramp case illustrates a simple principle: a referral program that ties reward payments to actual revenue, and blocks fraud before any payout is triggered, effectively pays for itself. Every USDC distributed to a referrer corresponded to revenue that had already been generated. The program never ran at a loss.

Sybil resistance was the other half of the equation. Without it, self-referrals would have inflated user numbers while diluting the reward pool. With both guardrails in place, Offramp could scale the program confidently, knowing that every dollar spent on rewards reflected a real user and a real transaction.

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