# Referral Program

> Designs viral referral programs with incentive structures, sharing mechanics, and tracking. Covers one-sided, two-sided, tiered, and milestone models with viral coefficient calculations. Use when someone wants word-of-mouth growth, viral loops, invite programs, or says 'referral', 'viral loop', 'word of mouth', 'invite program', 'refer a friend', 'growth loop', 'referral incentive', 'affiliate program', 'ambassador program', 'get users to invite friends', or 'organic growth'. Even casual mentions like 'how do I get my users to spread the word' or 'can users invite others' should trigger this. Includes anti-fraud measures and copy templates for both referrer and referee. Use this whenever user-driven acquisition or viral mechanics are discussed.

- Skill: `moizibnyousaf/referral-program` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add moizibnyousaf/referral-program`
- Raw SKILL.md: https://api.skillmd.com/api/skills/moizibnyousaf/referral-program/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Marketing & Growth
- Author: moizibnyousaf (https://skillmd.com/u/moizibnyousaf)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/moizibnyousaf/referral-program

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# Referral Program Design

## Purpose

Design a referral program that turns existing users into an acquisition channel. Define the incentive model, sharing mechanics, copy, and launch plan. Focus on programs that actually get used — not "refer a friend" links that collect dust.

## Reads

- `brand/audience.md` — Personas, what they value, their networks
- `brand/positioning.md` — Value props, pricing context for incentive sizing
- `brand/voice-profile.md` — Brand voice for all referral copy

## Brand Integration

- **audience.md** — Incentive type depends on audience. B2B audiences prefer account credits. B2C audiences prefer discounts or free months. Developer audiences prefer swag or extended trials.
- **positioning.md** — Referral messaging reinforces the brand's positioning angle, not generic 'share with a friend' copy. If positioning is around simplicity, the referral CTA is 'Know someone drowning in complexity?'
- **voice-profile.md** — All referral copy (dashboard prompts, share text, emails) should match the brand voice. A casual brand writes "Your friend's gonna love this" while a professional brand writes "Share a professional recommendation."

## Workflow

### Step 1: Choose Referral Model

Evaluate and recommend the right model:

**One-Sided (Referrer only gets reward)**
- Best for: High-value products, enterprise, low-frequency purchases
- Pros: Simple, lower cost per referral
- Cons: Less motivation for referee to convert
- Example: "Give your friend our link, you get $50 credit"

**Two-Sided (Both get reward)**
- Best for: SaaS, marketplaces, subscription products
- Pros: Higher conversion (referee has incentive), feels fair
- Cons: Higher cost per referral
- Example: "Give $20, get $20"

**Tiered (Rewards increase with referral count)**
- Best for: Products with power users, community-driven products
- Pros: Creates referral champions, gamification
- Cons: Complex to communicate, top-heavy rewards
- Example: "1 referral = 1 month free. 5 = premium forever."

**Milestone (Unlock rewards at specific counts)**
- Best for: Products wanting viral moments
- Pros: Creates sharing bursts, clear goals
- Cons: Can feel like a grind
- Example: "3 friends = swag. 10 friends = lifetime access."

Selection criteria:
- Product price point and margins
- Customer lifetime value (can you afford the incentive?)
- Network effects (does the product get better with more users?)
- Purchase frequency (one-time vs recurring)

### Step 2: Define the Incentive

#### Incentive Types

| Type | Best When | Example |
|------|-----------|---------|
| Account credit | Recurring subscription | "$20 off next month" |
| Extended trial | Freemium model | "+7 days of Pro" |
| Feature unlock | Gated features exist | "Unlock advanced analytics" |
| Cash/gift card | High LTV, B2B | "$50 Amazon card" |
| Discount | E-commerce, one-time | "25% off next purchase" |
| Donation | Mission-driven brand | "$10 to charity of choice" |
| Exclusive access | Waitlist/beta | "Skip the waitlist" |
| Physical swag | Community brand | "Free branded merch" |

#### Incentive Sizing Rules

- Referrer reward should be 10-25% of first-year LTV
- Referee reward should lower the barrier to first purchase
- Two-sided: referee reward can be smaller than referrer reward
- Always test: the "right" incentive is discovered, not guessed
- Stack with existing promotions cautiously — don't train discount hunters

### Step 3: Design Sharing Mechanics

#### Sharing Methods (Offer All, Optimize for Top 2)

**Unique referral link** (required, baseline)
- Personal URL: `product.com/ref/[username]` or `product.com/r/[code]`
- One-click copy button
- Auto-populated share text

**Referral code** (supplement to link)
- Short, memorable: 4-6 characters
- Personalizable: user's name or custom code
- Easy to share verbally

**Email invite** (high-intent channel)
- Import contacts option (Google, Outlook)
- Or manual email entry
- Pre-written message, editable by user

**Social sharing** (volume channel)
- Twitter/X: Pre-populated tweet with link
- LinkedIn: Professional framing for B2B
- WhatsApp/SMS: Direct message with link
- Platform-native share sheet on mobile

**In-product prompts** (highest conversion trigger)
- Post-success moment: "You just [achievement]! Share with a friend?"
- Milestone celebration: "You've been using [Product] for 30 days!"
- Team detection: "Looks like [colleague] could use this too"

#### Friction Reduction Checklist

- [ ] One-click sharing (no extra steps)
- [ ] Pre-written share text (editable)
- [ ] Referral link visible in dashboard at all times
- [ ] Mobile-optimized sharing flow
- [ ] No login required for referee to see the offer
- [ ] Referee landing page explains the incentive immediately

### Step 4: Write Referral Copy

#### Referrer-Facing Copy

**Dashboard prompt:**
```
Give [incentive], Get [incentive]

Share [Product] with friends and you both get rewarded.
You've earned [X] so far from [Y] referrals.

[Copy Your Link]  [Invite by Email]
```

**Post-achievement trigger:**
```
Nice — you just [achievement]!

Know someone who'd love this too?
Share your link and you both get [incentive].

[Share Now]  [Maybe Later]
```

**Email nudge:**
```
Subject: You have $[X] in referral rewards waiting

You've been using [Product] for [X] weeks and
[specific achievement]. Know someone who'd benefit?

Share your personal link and you both get [incentive]:
[referral link]

[Share via Email]  [Copy Link]
```

#### Referee-Facing Copy

**Referral landing page:**
```
[Referrer name] invited you to [Product]

[Referrer] thinks you'd love [Product] — and they're
giving you [incentive] to try it.

[What Product Does — one sentence]

[Claim Your [Incentive]]

[Social proof: X users, rating, testimonial]
```

**Referee welcome email:**
```
Subject: [Referrer] gifted you [incentive] for [Product]

Welcome! [Referrer name] shared [Product] with you
and you've got [incentive] waiting.

Here's how to get started:
1. [Quick start step]
2. [Quick start step]
3. [Quick start step]

[Get Started with [Incentive]]
```

### Step 5: Plan Launch Strategy

#### Pre-Launch (1 week before)

- Seed with top 10% most active users first
- Personal email from founder: "You're getting early access to our referral program"
- Goal: Get first 50 referrals to validate mechanics

#### Launch (Week 1)

- In-app announcement banner for all users
- Email blast to full user base
- Social media announcement
- Add referral link to user dashboard permanently

#### Sustained Growth (Ongoing)

- Trigger-based prompts (post-achievement, milestone, NPS 9-10)
- Monthly referral leaderboard (optional, for tiered/milestone)
- Seasonal boost: "Double rewards this month"
- New user onboarding: mention referral program during setup

## Viral Coefficient Calculation

```
Viral Coefficient (K) = i x c

i = invitations sent per user
c = conversion rate of invitations

K > 1 = viral growth (each user brings >1 new user)
K = 0.5 = healthy referral supplement
K < 0.2 = program needs work

Example:
- Average user sends 5 invites
- 15% of invites convert
- K = 5 x 0.15 = 0.75 (strong, not viral)

To improve K:
- Increase i: More sharing triggers, easier sharing mechanics
- Increase c: Better referee landing page, stronger incentive
```

## Referral Program Metrics

| Metric | Formula | Healthy Range |
|--------|---------|---------------|
| Participation rate | Users who shared / Total users | 10-25% |
| Shares per user | Total shares / Participating users | 3-8 |
| Invite conversion rate | Signups / Total shares | 10-25% |
| Referral revenue % | Referred revenue / Total revenue | 15-35% |
| Time to first referral | Avg days from signup to first share | <30 days |
| Viral coefficient | Invites x Conversion rate | >0.3 |
| Referral CAC | Program cost / Referred customers | <Paid CAC |

## Anti-Patterns

- Referral link buried in settings — if users can't find it, they won't share. It needs to be visible in the main dashboard, not hidden three clicks deep.
- Requiring both parties to be paid users before reward triggers — this kills conversion because the referee has no incentive to sign up, and the referrer waits forever for credit.
- Complex reward rules nobody understands — if the incentive takes more than one sentence to explain, participation drops. Simplicity drives sharing.
- Rewards that expire too quickly (<30 days) — referrers who discover the program after a few weeks feel cheated. Give at least 90 days.
- No tracking dashboard for referrers — without visibility into "how many people clicked, how many signed up," referrers lose motivation to keep sharing.
- Generic share text that sounds corporate — "Check out this tool" gets ignored. Pre-written text should sound like something a real person would say.
- Making the referee create an account before seeing the product — the referee should see the value (and their incentive) before being asked to commit.

## Edge Cases

- **B2B enterprise:** End-users often aren't the buyers. Referral must target decision-makers. Consider "recommend to your network" framing instead of "invite a friend." Reward the referrer's company, not just the individual.
- **Marketplaces (two-sided):** Design separate referral programs for each side (e.g., rider referral vs. driver referral). Each side needs different incentives and copy.
- **Pre-launch / no existing users:** Use waitlist-style referrals (Morning Brew model). "Refer friends to move up the waitlist" or "Unlock early access by inviting 3 friends."
- **Low-price products:** Cash incentives may exceed product value. Use product-based rewards (extra storage, extended trial, feature unlock) instead of money.

## Launch Measurement Milestones

- **Week 2:** Check participation rate (target: >5% of active users sharing) and shares per user (target: >2). If below, the prompt timing or incentive needs adjustment.
- **Month 1:** Evaluate invite conversion rate (target: >10%) and K-factor (target: >0.3). If conversion is low, the referee landing page or incentive needs work.
- **Month 3:** Full program review — referral CAC vs. paid CAC, referred customer LTV vs. average LTV, fraud rate. Decide whether to scale, adjust incentives, or restructure the model.

## Output

Each referral program design produces:
- Recommended model with justification
- Incentive structure (type, size, trigger conditions)
- Sharing mechanics spec (channels, copy, UX flow)
- Referrer and referee copy for all touchpoints
- Launch plan (pre-launch, launch, sustained)
- Metrics dashboard spec
- Viral coefficient projection

## Quality Checks

- [ ] Incentive is ROI-positive (reward < LTV margin)
- [ ] Sharing flow is 2 clicks or fewer
- [ ] Copy provided for both referrer and referee touchpoints
- [ ] Anti-fraud measures defined (at minimum: email verification, delayed payout)
- [ ] Referee landing page has clear incentive + product value + CTA
- [ ] Referral link is visible in user dashboard, not buried in settings
- [ ] Copy matches brand voice (if voice-profile.md exists)
- [ ] Launch plan includes measurement milestones with specific targets