referral-program

A double-sided referral program rewards both the referrer and the referee, such as offering one month free to both parties. This structure balances acquisition costs against LTV and gross margin, driving higher conversion rates than single-sided models by motivating both sides of the transaction.

An affiliate program typically rewards external partners or influencers for driving leads, while a customer referral program incentivizes existing users to invite peers. The Skill helps define either or hybrid models, tailoring incentive structures and share mechanics to fit B2B or B2C acquisition strategies.

Measure referral program success by tracking key metrics like referral rate, viral coefficient, and program ROI. Optimization involves running A/B tests on incentive structures and share mechanics, analyzing conversion funnels, and implementing fraud prevention strategies to maintain data integrity.

A referral program launch checklist should include ready-to-run email sequences, affiliate enablement assets, attribution tracking setup, and platform integration recommendations. It ensures all share mechanics and measurement frameworks are operational before scaling the acquisition channel.

Yes, the Skill estimates incentive sizing by analyzing your LTV, gross margin, and target CAC. For example, with a $1,200 LTV and 70% gross margin, it calculates viable reward thresholds that maintain profitable acquisition costs for double-sided or tiered referral structures.

You should avoid referral programs when your customer LTV is too low to sustain incentive payouts, or when fraud mitigation costs exceed acquisition savings. If gross margins cannot absorb reward structures without skewing CAC, alternative viral marketing or direct acquisition channels may be more suitable.