referral-tracking

Attribution tracking identifies which referrals drove customer acquisition by assigning credit to referrers. Implement first-touch, last-touch, or multi-touch models depending on your sales cycle, then define your attribution window—the timeframe within which a referred customer's actions count toward the referrer's reward.

Fraud prevention for referrals includes domain verification to block suspicious email domains, IP verification to flag multiple accounts from the same location, and account verification to prevent self-referrals or duplicate signups. These controls protect your program economics and prevent artificial inflation of referral metrics.

Phased launch starts with a soft launch to test mechanics with a limited user group, expands to broader audiences once you validate conversion and fraud patterns, then optimizes based on performance data. This approach reduces risk and lets you refine incentive structures before full rollout.

Yes. Referral tracking applies across SaaS, e-commerce, marketplaces, and service businesses. The attribution and fraud models scale to different customer acquisition costs and lifetime value ratios, making the approach adaptable to your business model and incentive economics.

Model customer acquisition cost (CAC) and lifetime value (LTV) to ensure referral incentives remain profitable. Balance the reward amount against the lifetime revenue each referred customer generates, accounting for your attribution window and fraud prevention costs.

First-touch attribution credits the initial referrer and suits long sales cycles where early awareness matters. Last-touch credits the most recent referrer and works for shorter cycles. Multi-touch spreads credit across multiple touchpoints for complex customer journeys—choose based on your sales timeline and attribution window.