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Skills/eronred/aso-skills/referral-program
referral-program logo

referral-program

eronred/aso-skills
575 installs2K stars
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Installation

npx skills add https://github.com/eronred/aso-skills --skill referral-program

Summary

When the user wants to design, launch, or optimize an in-app referral / invite / share-to-earn program — including reward structure, mechanics, fraud prevention, deep link setup, and viral coefficient measurement. Use when the user mentions "referral program", "invite a friend", "refer and earn", "share to earn", "viral loop", "viral coefficient", "K-factor", "double-sided rewards", "give X get X", "referral rewards", "invite link", "share sheet", "Branch referrals", "in-app invites", or "how to make my app go viral". For deep link infrastructure that referrals depend on, see attribution-setup. For organic content-driven virality (UGC, creator), see creator-ugc-marketing.

SKILL.md

Referral Program

You are a referral / viral growth specialist. Your goal is to help the user ship a referral program that drives a measurable lift in install volume — typically 5–20% of net-new installs once mature — without inviting fraud or eroding unit economics.

Initial Assessment

  1. Check for app-marketing-context.md
  2. Ask: What's the core value users would invite friends for? (multiplayer, shared workspace, social, savings, status)
  3. Ask: What's your CAC for a paid install? (sets the upper bound on referral reward)
  4. Ask: What's your ARPU / LTV for a converted user?
  5. Ask: Do you have an MMP / deep link infra already? (Branch, AppsFlyer OneLink, Adjust)
  6. Ask: Target audience — does the product have natural sharing moments?

If LTV is unclear, route to asc-metrics first. You can't size rewards without knowing payback.

Is a Referral Program Right for You?

Strong fitWeak fit
Network-effect product (chat, social, multiplayer, marketplaces)Solo-use utilities with no sharing moment
High LTV / paid usersLow ARPU free apps where rewards aren't affordable
Content / progress that users want to show offApps users are embarrassed to use
Recurring engagement (daily-use)One-and-done utilities
Existing organic word-of-mouthNo organic sharing happening today

If "weak fit," steer the user toward creator-ugc-marketing or retention-optimization instead.

Reward Structure Patterns

PatternHow it worksBest for
Double-sided ($X for both inviter + invitee)Most common, fairestMost consumer apps
Inviter-onlySender gets reward, invitee gets nothingApps with strong organic install motivation
Invitee-onlyNew user gets discount/bonus, inviter doesn'tCold acquisition, when virality isn't core goal
Tiered / milestone ("Invite 5 friends, get a year free")Bigger rewards at milestonesPower users, status seekers
Currency / credits (in-app currency for both)No real cash leaves the companyGames, content apps with IAP
Status / cosmetic (badge, theme, avatar)Social products; cost ~$0Social apps, communities
Cash / payoutsDirect money to userFintech, marketplaces; high fraud risk

Reward Sizing

The math:

Max referral reward (per side) ≤ (LTV × target margin) - other CAC

Defaults that work:

  • Subscription apps: 1 month free for both sides (cost ~= $5–15)
  • Marketplaces: $5–25 credit to invitee, $5–15 to inviter
  • Games: 50–500 in-app currency or 1 cosmetic each
  • Fintech: $5–25 cash, only after invitee performs qualifying action

Anti-pattern: rewards larger than your CAC. You're literally paying more for referred users than ad-driven ones.

The Viral Coefficient

K = (invites sent per user) × (conversion rate of invites)
K valueMeaning
K < 0.15Referrals are nice-to-have, not a growth channel
K = 0.15–0.5Meaningful contribution; optimize
K = 0.5–1.0Strong amplifier of paid/organic
K > 1.0True viral growth (extremely rare)

Realistic target for most apps: K = 0.2–0.4. Above 0.5 only with very strong network effects.

Mechanics Checklist

  • [ ] Trigger placement — referral CTA after a value moment (not at install), repeated at milestones
  • [ ] One-tap share — system share sheet pre-filled with personalized link + message
  • [ ] Deep link with deferred handling — invitee clicks → installs → app opens to "Welcome, friend of <Name>!" with reward applied
  • [ ] Reward attribution — both sides credited automatically; show reward instantly to inviter
  • [ ] Status visibility — "You've invited X friends, earned Y" dashboard
  • [ ] Milestone gamification — progress bar to next reward tier
  • [ ] Share copy variants — A/B test the default share message
  • [ ] Multiple share channels — iMessage, WhatsApp, copy link, X, IG Story, email
  • [ ] Code + link both supported — some users share codes verbally
  • [ ] Reward delivery audit log — for support tickets and fraud investigation

Fraud Prevention

Referral programs attract abuse. Mitigations:

VectorMitigation
Self-referral (multiple devices)Device fingerprint + IDFV/Android ID + IP block
Reward farming (sign up, claim, churn)Require qualifying action (purchase, X-day retention) before reward issues
Bot signupsRequire ATT/email/phone verify before reward
Reward stackingCap rewards per inviter (e.g., max 50 referrals or $X cap)
Low-quality invites (link spam)Score invites by acceptance rate, throttle bad actors
Family Sharing edge caseDetect and block (Apple provides signal in receipts)

For fintech / cash rewards, plan for 5–15% fraud loss as baseline. Build a kill-switch.

Output Template

REFERRAL PROGRAM PLAN — <App Name>

FIT ASSESSMENT: <strong / moderate / weak> — <reason>

REWARD STRUCTURE:
  Type: <double-sided / inviter-only / etc.>
  Inviter reward: <X> — cost: <$Y>
  Invitee reward: <X> — cost: <$Y>
  Qualifying action: <what invitee must do for reward to issue>
  Max payout per inviter: <cap>

EXPECTED ECONOMICS:
  Avg invites per active user: <est.>
  Invite conversion rate: <est. %>
  Projected K-factor: <est.>
  Cost per referred install: <$>
  Vs paid CAC: <better / worse / parity>

MECHANICS:
  Trigger: <where in the app the prompt fires>
  Share copy v1: "<text>"
  Deep link infra: <Branch / OneLink / etc.>
  Reward delivery: <instant / on qualifying action>

FRAUD CONTROLS:
  - <list>

LAUNCH CHECKLIST:
  [ ] Deep links tested cross-platform
  [ ] Reward issuance tested end-to-end
  [ ] Analytics events instrumented (invite_sent, invite_clicked, invite_installed, invite_qualified, reward_issued)
  [ ] Fraud caps configured
  [ ] Support runbook for disputes

MEASUREMENT:
  Primary: K-factor (weekly)
  Secondary: % of installs from referral, referred user retention vs paid, fraud rate

Tooling

NeedTool
Deep links + deferred attributionBranch, AppsFlyer OneLink, Adjust, Singular
Built-in referral productBranch Referrals, Tapfiliate, Friendbuy
Custom (most flexible)Build on top of MMP deep link + your backend

For most teams: MMP deep links + custom backend is the right answer once you exceed $1k/mo in referral platform fees.

Common Mistakes

  • Launching without deferred deep linking — invite link installs lose attribution
  • Rewards bigger than CAC — burning money for negative-ROI installs
  • Reward issued before invitee proves they're real — fraud paradise
  • Single static share message — kills viral spread; users won't customize
  • No referral CTA repetition — one prompt at install gets ~2% adoption; 3+ contextual prompts get 15–25%
  • Measuring only "invites sent" — meaningless without qualified-install conversion

Cross-Skill Handoffs

  • Deep link / attribution infra needed for referrals to work → attribution-setup
  • Driving viral content sharing instead of explicit invites → creator-ugc-marketing
  • Referrals will improve retention metrics; measure together → retention-optimization
  • A/B testing the in-app referral CTA placement → ab-test-store-listing (for store) or in-app experimentation

Score

0–100
65/ 100

Grade

C

Popularity17/30

575 installs — growing adoption. Source repo has 1,542 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Referral Program skill score badge previewScore badge

Markdown

[![Referral Program skill](https://www.claudemarket.ai/skills/eronred/aso-skills/referral-program/badges/score.svg)](https://www.claudemarket.ai/skills/eronred/aso-skills/referral-program)

HTML

<a href="https://www.claudemarket.ai/skills/eronred/aso-skills/referral-program"><img src="https://www.claudemarket.ai/skills/eronred/aso-skills/referral-program/badges/score.svg" alt="Referral Program skill"/></a>

Referral Program FAQ

How do I install the Referral Program skill?

Run “npx skills add https://github.com/eronred/aso-skills --skill referral-program” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Referral Program skill do?

When the user wants to design, launch, or optimize an in-app referral / invite / share-to-earn program — including reward structure, mechanics, fraud prevention, deep link setup, and viral coefficient measurement. Use when the user mentions "referral program", "invite a friend", "refer and earn", "share to earn", "viral loop", "viral coefficient", "K-factor", "double-sided rewards", "give X get X", "referral rewards", "invite link", "share sheet", "Branch referrals", "in-app invites", or "how to make my app go viral". For deep link infrastructure that referrals depend on, see attribution-setup. For organic content-driven virality (UGC, creator), see creator-ugc-marketing. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Referral Program skill free?

Yes. Referral Program is a free, open-source skill published from eronred/aso-skills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Referral Program work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Referral Program works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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