Referral Program

Referral Program

Design a referral program for "$ARGUMENTS". Create incentive structures, mechanics, and promotion strategies that turn customers into advocates.

Prerequisites

Read .metapowers/marketing/$ARGUMENTS/00-strategy.md. If this file does not exist, tell the user:

Phase 0 (Strategy) has not been completed for "$ARGUMENTS". Run /marketing:customer-research $ARGUMENTS first, or use --skip-checks to bypass.

If --skip-checks is present in $ARGUMENTS, skip this check and log to .metapowers/marketing/$ARGUMENTS/skip-log.md.

Process

1. Read context:

   • Read .metapowers/marketing/$ARGUMENTS/00-strategy.md for audience and product context
   • Read .metapowers/marketing/$ARGUMENTS/04-engage.md if it exists

2. Research referral models:

   • Use WebSearch to find successful referral programs in the category
   • Analyze: single-sided vs. double-sided rewards, monetary vs. product-based incentives
   • What motivates users to refer? (savings, status, genuine value sharing)

3. Design the program:

   • Incentive structure: what does the referrer get? What does the referred get?
   • Reward type: credits, discounts, cash, extended features, swag
   • Qualification: what counts as a successful referral? (signup, activation, payment)
   • Limits: per-user caps, time limits, anti-fraud measures

4. Mechanics and UX:

   • Sharing mechanism: unique link, email invite, social share, in-product invite
   • Tracking and attribution
   • Where to promote the program (in-app, email, website, social)
   • Referral dashboard for users

5. Write the artifact — append to .metapowers/marketing/$ARGUMENTS/04-engage.md under a ## Referral Program section:

   • Program Design — incentives, mechanics, qualification
   • UX Flow — how users discover, share, and track referrals
   • Promotion Plan — where and how to promote the program
   • Anti-Fraud Measures — abuse prevention
   • Success Metrics — referral rate, viral coefficient, CAC impact

Output

Referral program design written to .metapowers/marketing/$ARGUMENTS/04-engage.md. Present a summary highlighting:

• Recommended incentive structure
• Expected viral coefficient
• Launch plan