Referral Engine
by @leooooooow
Design a customer referral program with incentive structures, sharing mechanics, fraud prevention rules, and tracking setup that turns existing buyers into a...
clawhub install referral-engineπ About This Skill
name: referral-engine description: Design a customer referral program with incentive structures, sharing mechanics, fraud prevention rules, and tracking setup that turns existing buyers into a scalable acquisition channel.
Referral Engine
Design a complete customer referral program that transforms your existing buyer base into a reliable, low-cost acquisition channel. This skill walks you through building incentive structures, defining sharing mechanics across platforms, setting up fraud prevention guardrails, and establishing tracking infrastructure so every referral dollar is accountable and every new customer is attributed correctly.
Use when
What this skill does
This skill analyzes your product type, average order value, customer lifetime value, and existing marketing channels to design a referral program tailored to your business. It determines the optimal reward type and amount for both the referrer and the referred friend, maps out the sharing flow across email, SMS, social media, and unique referral links, defines fraud prevention rules such as self-referral blocks, IP deduplication, minimum purchase requirements, and velocity limits, and produces a tracking plan covering attribution windows, conversion events, and reporting dashboards. The output is a ready-to-implement blueprint that balances generosity with profitability.
Inputs required
Output format
The output is a structured referral program blueprint divided into six sections. First, a Program Summary with the reward model, referral flow diagram, and projected economics. Second, an Incentive Design section specifying exact reward types, amounts, and conditions for both referrer and referee, including tiered bonuses for power referrers. Third, a Sharing Mechanics section detailing channel-specific sharing flows for email, SMS, WhatsApp, Instagram, and unique referral links with sample copy for each. Fourth, a Fraud Prevention section listing specific rules β self-referral blocking, IP and device fingerprint checks, minimum purchase thresholds, velocity caps, and manual review triggers. Fifth, a Tracking and Attribution section covering UTM parameters, cookie windows, conversion pixels, and dashboard KPIs. Sixth, a Launch Checklist with phased rollout steps from soft launch to full promotion.