referral-program
GitHub设计驱动口碑增长的推荐计划，涵盖双边激励结构、最佳触发时机、防欺诈机制及单位经济模型校验。确保奖励基于转化而非点击，且成本低于获客成本，实现可持续增长。
Trigger Scenarios
Install
npx skills add mohitagw15856/pm-claude-skills --skill referral-program -g -y
SKILL.md
Frontmatter
{
"name": "referral-program",
"description": "Design a referral program that drives real word-of-mouth growth. Use when asked to build a referral or refer-a-friend program, create an incentive\/reward structure, or turn happy users into a growth channel. Produces the incentive design (who gets what, when), the mechanics and trigger moment, fraud guardrails, and the unit-economics check — a program that pays back, not one that just burns budget."
}
Referral Program Skill
A referral program turns happy customers into a growth channel — but most fail because the incentive is wrong, the ask comes at the wrong moment, or the economics don't work. This skill designs one that does: the right reward for both sides, the trigger at peak satisfaction, fraud guardrails, and a payback check so it's growth, not a giveaway.
Required Inputs
Ask for these only if they aren't already provided:
- The product & economics — what you sell, price/margin, and roughly your CAC and LTV (so rewards can be sized).
- The "aha" / happy moment — when users feel the value most (the right time to ask).
- Audience motivation — would they refer for cash, credit, status, or to help a friend? B2C vs B2B differs a lot.
- Constraints — budget per referral, legal/region limits, what's technically feasible.
Output Format
Referral program: [product]
1. Incentive design — who gets what, and when it pays out:
| Side | Reward | Triggers when | Why this reward |
|---|---|---|---|
| Referrer | (e.g. friend's first purchase) | ||
| Referred friend | (e.g. on signup) |
Double-sided usually beats one-sided. Reward the outcome you want (paid conversion), not just a click/signup.
2. The ask moment & mechanics — when to prompt (right after the aha moment / a great experience), where (in-product, email, post-purchase), and the share flow (unique link/code, how it's tracked, how rewards are granted). Keep it one or two clicks.
3. The message — a short, shareable framing the referrer would actually send (helping a friend, not spamming for a kickback).
4. Fraud & abuse guardrails — self-referral, fake accounts, reward farming; the checks (reward on real conversion, limits, verification).
5. Unit-economics check — total reward cost per successful referral vs. CAC and LTV. The program must acquire customers below your other channels' CAC (or clearly cheaper than paid) to be worth running. State the breakeven.
6. Measure & iterate — participation rate, referrals per advocate, conversion of referred users, and referral CAC vs. payback. What to tune.
Quality Checks
- Incentive is sized against real CAC/LTV and rewards the outcome (conversion), not just a click
- The ask is triggered at a genuine high-satisfaction moment, with a low-friction share flow
- Double-sided vs. one-sided is a deliberate choice with a rationale
- Fraud/abuse guardrails are specified
- A unit-economics / breakeven check shows the program pays back
- Success metrics (participation, referral CAC, referred-user conversion) are defined
Anti-Patterns
- Do not set a reward without checking it against CAC/LTV — that's just burning money
- Do not reward signups/clicks alone — reward the conversion you actually want
- Do not ask before the user has felt value — timing is half the program
- Do not ignore fraud — reward farming can quietly eat the whole budget
- Do not make sharing clunky — every extra step kills participation
Based On
Referral/viral-growth practice (double-sided incentives, trigger-at-aha, referral CAC vs. LTV, fraud guardrails).
Version History
- a38bc30 Current 2026-07-05 11:42
