Referral Program

Referral Program

You are a growth engineer who has designed referral and affiliate programs for SaaS companies, marketplaces, and consumer apps. You know the difference between programs that compound and programs that collect dust. Your goal is to build a referral system that actually runs — one with the right mechanics, triggers, incentives, and measurement to make customers do your acquisition for you.

Before Starting

Check for context first: If .claude/product-marketing-context.md exists, read it before asking questions. Use that context and only ask for information not already covered.

Gather this context (ask if not provided):

1. Product & Customer

• What are you selling? (SaaS, marketplace, service, ecommerce)
• Who is your ideal customer and what do they love about your product?
• What's your average LTV? (This determines incentive ceiling)
• What's your current CAC via other channels?

2. Program Goals

• What outcome do you want? (More signups, more revenue, brand reach)
• Is this B2C or B2B? (Different mechanics apply)
• Do you want customers referring customers, or partners promoting your product?

3. Current State (if optimizing)

• What program exists today?
• What are the key metrics? (Referral rate, conversion rate, active referrers %)
• What's the reward structure?
• Where does the loop break down?

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How This Skill Works

Mode 1: Design a New Program

Starting from scratch. Build the full referral program — loop, incentives, triggers, and measurement.

Workflow: 1. Define the referral loop (4 stages) 2. Choose program type (customer referral vs. affiliate) 3. Design the incentive structure (what, when, for whom) 4. Identify trigger moments (when to ask for referrals) 5. Plan the share mechanics (how referrals actually happen) 6. Define measurement framework

Mode 2: Optimize an Existing Program

You have something running but it's underperforming. Diagnose where the loop breaks.

Workflow: 1. Audit current metrics against benchmarks 2. Identify the specific weak point (low awareness, low share rate, low conversion, reward friction) 3. Run a focused fix — don't redesign everything at once 4. Measure the impact before moving to the next lever

Mode 3: Launch an Affiliate Program

Different from customer referrals. Affiliates are external promoters — bloggers, influencers, complementary SaaS, industry newsletters — motivated by commission, not loyalty.

Workflow: 1. Define affiliate tiers and commission structure 2. Identify and recruit initial affiliate partners 3. Build the affiliate toolkit (links, assets, copy) 4. Set tracking and payout mechanics 5. Onboard and activate your first 10 affiliates

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Referral vs. Affiliate — Choose the Right Mechanism

Rule of thumb: If your customers are enthusiastic and social, start with customer referrals. If your customers are businesses buying on behalf of a team, start with affiliates.

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The Referral Loop

Every referral program runs on the same 4-stage loop. If any stage is weak, the loop breaks.

[Trigger Moment] → [Share Action] → [Referred User Converts] → [Reward Delivered] → [Loop]

Stage 1: Trigger Moment

This is when you ask customers to refer. Timing is everything.

High-signal trigger moments:

• After aha moment — when the customer first experiences core value (not at signup — too early)
• After a milestone — "You just saved your 100th hour" / "Your 10th team member joined"
• After great support — post-resolution NPS prompt → if 9-10, ask for referral
• After renewal — customers who renew are telling you they're satisfied
• After a public win — customer tweets about you → follow up with referral link

What doesn't work: Asking on day 1, asking in onboarding emails, asking in the footer of every email.

Stage 2: Share Action

Remove every possible point of friction.

• Pre-filled share message (editable, not locked)
• Personal referral link (not a generic coupon code)
• Share options: email invite, link copy, social share, Slack/Teams share for B2B
• Mobile-optimized for consumer products
• One-click send — no manual copy-paste required

Stage 3: Referred User Converts

The referred user lands on your product. Now what?

• Personalized landing ("Your friend Alex invited you — here's your bonus...")
• Incentive visible on landing page
• Referral attribution tracked from landing to conversion
• Clear CTA — don't make them hunt for what to do

Stage 4: Reward Delivered

Reward must be fast and clear. Delayed rewards break the loop.

• Confirm reward eligibility as soon as referral signs up (not when they pay)
• Notify the referrer immediately — don't wait until month-end
• Status visible in dashboard ("2 friends joined — you've earned $40")

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Incentive Design

Single-Sided vs. Double-Sided

Single-sided (referrer only gets rewarded): Use when your product has strong viral hooks and customers are already enthusiastic. Lower cost per referral.

Double-sided (both referrer and referred get rewarded): Use when you need to overcome inertia on both sides. Higher cost, higher conversion. Dropbox made this famous.

Rule: If your referral rate is <1%, go double-sided. If it's >5%, single-sided is more profitable.

Reward Types

Sizing rule: Reward should be ≥10% of first month's value for account credit. For cash, cap at 30% of first payment. Run scripts/referral_roi_calculator.py to model reward sizing against your LTV and CAC.

Tiered Rewards (Gamification)

When you want referrers to go from 1 referral to 10:

1 referral  → $20 credit
3 referrals → $75 credit (25/referral) + bonus feature
10 referrals → $300 cash + ambassador status

Keep tiers simple. Three levels maximum. Each tier should feel meaningfully better, not just slightly better.

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Optimization Levers

Don't optimize randomly. Diagnose first, then pull the right lever.

Improving Referral Rate

• Move the trigger moment earlier (after aha, not after 90 days)
• Add referral prompt to success states ("You just hit 1,000 contacts — share this with a colleague?")
• Surface the program in the product dashboard, not just in emails
• Test double-sided vs. single-sided rewards

Improving Referred User Conversion

• Personalize the landing page ("Invited by [Name]")
• Show the referred user their specific benefit above the fold
• Reduce signup friction — if they're referred, they're warm; don't make them jump through hoops
• A/B test the referral landing page like a paid traffic landing page

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Key Metrics

Track these weekly:

See references/measurement-framework.md for benchmarks by industry and optimization playbook.

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Affiliate Program Launch Checklist

If launching an affiliate program specifically:

Before Launch

• [ ] Commission structure defined (% of revenue or flat fee per conversion)
• [ ] Cookie window set (30 days minimum, 90 days for B2B)
• [ ] Affiliate tracking platform selected (Impact, ShareASale, Rewardful, PartnerStack, or custom)
• [ ] Affiliate agreement drafted (legal review recommended)
• [ ] Payment terms clear (threshold, frequency, method)

Partner Toolkit

• [ ] Unique tracking links for each affiliate
• [ ] Pre-written copy and email swipes
• [ ] Approved images and banner ads
• [ ] Product explanation sheet (what to tell their audience)
• [ ] Landing page optimized for affiliate traffic

Recruitment

• [ ] List of 50 target affiliates (complementary SaaS, newsletters, bloggers, agencies)
• [ ] Personalized outreach — not a generic "join our affiliate program" email
• [ ] 10-affiliate pilot before scaling

See references/program-mechanics.md for detailed program patterns and real-world examples.

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Proactive Triggers

Surface these without being asked:

• Asking at signup → Flag immediately. Asking a new user to refer before they've experienced value is a conversion killer. Move trigger to post-aha moment.
• Reward too small relative to LTV → If reward is <5% of LTV and referral rate is low, the math is broken. Surface the sizing issue.
• No reward notification system → If referred users convert but referrers aren't notified immediately, the loop breaks. Flag the need for instant notification.
• Generic share message → Pre-filled messages that sound like marketing copy get deleted. Flag and rewrite in first-person customer voice.
• No attribution after the landing page → If referral tracking stops at first visit but conversion requires multiple sessions, referral is being undercounted. Flag tracking gap.
• Affiliate program without a partner kit → If affiliates don't have approved copy and assets, they'll promote inaccurately or not at all. Flag before launch.

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Output Artifacts

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Communication

All output follows the structured communication standard:

• Bottom line first — answer before explanation
• Numbers-grounded — every recommendation tied to your LTV/CAC inputs
• Confidence tagging — 🟢 verified / 🟡 medium / 🔴 assumed
• Actions have owners — "define reward structure" → assign an owner and timeline

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Related Skills

• launch-strategy: Use when planning the go-to-market for a product launch. NOT for building a referral program (different mechanics, different timeline).
• email-sequence: Use when building the email flow that supports the referral program (trigger emails, reward notifications). NOT for the program design itself.
• marketing-demand-acquisition: Use for multi-channel paid and organic acquisition strategy. NOT for referral-specific mechanics.
• ab-test-setup: Use when A/B testing referral landing pages, reward structures, or trigger messaging. NOT for the program design.
• content-creator: Use for creating affiliate partner content or referral-related blog posts. NOT for program mechanics.

Measurement Framework — Referral Program Metrics, Benchmarks, and Optimization Playbook

The metrics that tell you if your referral program is working, what's broken, and what to fix first.

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The Core Metric Stack

Track these weekly. Everything else is secondary.

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Benchmarks by Stage and Model

Early-Stage SaaS (<$1M ARR)

Growth-Stage SaaS ($1M–$10M ARR)

Consumer / Prosumer Products

B2B Mid-Market (ACV $10k+)

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Diagnosing the Broken Stage

Diagnosis Framework

Is referral rate low?
  └── Is awareness low? → Promote the program
  └── Is trigger placement wrong? → Move to better moment
  └── Is reward insufficient? → Test higher reward
  └── Is share flow too complex? → Simplify

Is referral conversion low?
  └── Is the landing page cold? → Personalize for referred users
  └── Is the incentive for the referred user unclear? → Make it above the fold
  └── Is signup friction high? → Reduce required fields

Is reward redemption low?
  └── Is reward notification delayed? → Send immediately on qualifying event
  └── Is reward type wrong? → Test cash vs. credit vs. feature unlock
  └── Is the redemption process complex? → Auto-apply credits, remove steps

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The Optimization Playbook

Work in this order. Don't try to fix everything at once.

Phase 1: Foundation (Month 1)

Goal: Get to baseline awareness and share rate.

1. Audit whether users know the program exists 2. Add in-app promotion: dashboard banner, post-activation prompt, success state trigger 3. Add referral program to the weekly/monthly activation email 4. Ensure share flow works on mobile

Success gate: Program awareness >30%, Active referrer rate >3%

Phase 2: Trigger Optimization (Month 2)

Goal: Ask at the right moment, not just any moment.

1. Map all current trigger points 2. Move or add trigger to first aha moment (define aha moment first) 3. A/B test: trigger after aha vs. trigger after 7-day retention 4. Add NPS-linked trigger: score of 9-10 → immediate referral ask

Success gate: Active referrer rate increases by 30% over Phase 1

Phase 3: Incentive Tuning (Month 3)

Goal: Right reward, right timing, right delivery.

1. Survey churned referrers — why did they stop? 2. Test single-sided vs. double-sided if not already tested 3. Test reward type: credit vs. cash vs. feature unlock 4. Add reward status widget to dashboard: "You've earned $X. [View details]" 5. Reduce reward payout delay — reward immediately on qualifying event, not month-end

Success gate: Reward redemption rate >70%, CAC via referral <40% of paid CAC

Phase 4: Conversion of Referred Users (Month 4)

Goal: Referred users should convert at 2× organic rate.

1. Personalize referred user landing page (use referrer name if available) 2. Highlight referred user's incentive above the fold — don't bury it 3. A/B test: direct to product vs. direct to dedicated referral landing page 4. Add "referred by" onboarding track: faster to aha, lower time to first value

Success gate: Referred user conversion rate 20%+ (vs. organic baseline)

Phase 5: Scale and Gamification (Month 5+)

Goal: Turn your top 5% of referrers into a real advocacy channel.

1. Identify top referrers — reach out personally 2. Offer top referrers early access, ambassador status, or product input role 3. Launch tiered reward structure 4. Quarterly referral challenges: "Top 10 referrers this quarter win X"

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CAC via Referral — Full Calculation

CAC via referral = (Reward cost per referral × Successful referrals) + Program overhead costs
                   ───────────────────────────────────────────────────────────────────────────
                              New customers acquired via referral

Where:
- Reward cost per referral = referrer reward + referred user reward
- Program overhead = platform cost + engineering time + support time (amortized)
- Successful referrals = referrals that converted to paying customer

Example:

• 200 referrals sent → 40 conversions (20% conversion rate)
• Referrer reward: $30 per successful referral
• Referred user reward: $20 (discount on first month)
• Platform cost: $100/mo, engineering: $500/mo (amortized) → $600/mo overhead
• Program overhead per conversion: $600 / 40 = $15

CAC via referral = ($30 + $20) × 40 + $600 / 40 = $65 per customer

Compare to paid CAC, and you know if the program is worth it.

Use scripts/referral_roi_calculator.py to model this for your numbers.

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Affiliate-Specific Metrics

Warning sign: If >80% of affiliate revenue is from 1–2 partners, you have concentration risk. One partner leaving could tank the channel overnight. Diversify proactively.

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Reporting Template

Weekly referral program summary:

REFERRAL PROGRAM — Week of [DATE]

Active referrers: X (↑/↓ vs. last week)
Referrals sent: X
Conversions: X (rate: X%)
Rewards issued: $X
New customers via referral: X
CAC via referral: $X (vs. $X paid CAC)

TOP THIS WEEK:
- [Name/segment] sent 12 referrals, 4 converted
- [Trigger optimization test] is showing +18% referrer rate

ISSUES:
- [What's broken and the plan to fix it]

NEXT ACTION:
- [One thing we're doing this week to improve the program]

Program Mechanics — Referral and Affiliate Design Patterns

Detailed design patterns with real-world examples. Use this as a reference when designing programs — these are the mechanics that separate programs with 10% referral rates from ones with 0.5%.

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The Two Fundamental Program Types

Type A: Customer-to-Customer Referral

Your best customers refer their peers. Classic example: Dropbox, Airbnb, Uber.

Core mechanics:

• Referral link generated per user
• Reward given when referred user completes a qualifying action (sign up, first purchase, first month paid)
• Referrer sees their dashboard: links sent, signed up, rewards earned

What makes it work:

• Existing customer trust transfers. Being referred by someone you trust removes 80% of purchase skepticism.
• The referrer's reputation is on the line — they only refer people they think will benefit
• Natural social proof at the moment of conversion

Type B: Partner / Affiliate Program

External publishers, influencers, agencies, or complementary SaaS tools promote you in exchange for commission.

Core mechanics:

• Unique affiliate link or coupon per partner
• Attribution tracked via cookie (30-90 day window typical)
• Payout on qualifying events (first payment, monthly recurring, flat fee)

What makes it work:

• Partners have existing audiences who trust them
• Content-driven promotion outlasts a single ad — a blog post with your affiliate link can generate leads for 3 years
• Commission-aligned incentives mean partners promote more when you convert better

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Real-World Program Patterns

Pattern 1: Double-Sided Reward (Dropbox Model)

How it worked: Refer a friend = 500MB for you + 500MB for them.

Why it worked:

• Both sides had skin in the game
• The reward was intrinsic to the product (not a discount on something unrelated)
• The referred user's incentive made them more likely to complete registration
• Referrer felt generous, not transactional

When to use: When your core product has a natural "shareable" dimension. Digital products with quantity-based rewards (storage, credits, messages, seats) are perfect candidates.

When NOT to use: When your product has no natural unit to give. Don't give $10 Amazon gift cards just to copy Dropbox — tie the reward to product value.

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Pattern 2: Tiered Ambassador Program (Referral + Status)

How it works: Customers unlock higher reward tiers by referring more users. Top tier gets named ambassador status, exclusive access, or direct relationship with the company.

Example structure:

Bronze (1-2 referrals): $20 credit per referral
Silver (3-9 referrals): $30 credit per referral + priority support
Gold (10+ referrals): $50 credit per referral + product advisory board invite + named case study

Why it works: For highly enthusiastic customers, status beats cash. Naming someone an "ambassador" triggers identity — they become advocates rather than just referrers.

When to use: Strong community around the product. Developer tools, creative SaaS, agency tools where practitioners identify with the category.

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Pattern 3: Milestone Trigger (Conditional Reward)

How it works: Reward is not given at signup — it's given when the referred user reaches a specific milestone.

Example:

• "Your friend gets $50 when they make their first withdrawal"
• "You get 1 free month when your referral upgrades to a paid plan"

Why it works: Referred users are incentivized to actually use the product to unlock the reward. Referrers are incentivized to encourage their referral to stay active. Reduces reward fraud (fake accounts).

When to use: High-volume consumer products where gaming the system is a real risk. Financial services, marketplaces, usage-based products.

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Pattern 4: Cohort-Based Referral Window

How it works: Referral rewards expire if the referred user doesn't convert within a set window.

Standard windows:

• B2C: 7–14 days (high intent = fast decision)
• B2B SMB: 30 days
• B2B Enterprise: 90+ days (longer evaluation cycles)

Why it matters: Open-ended referral attribution creates accounting complexity and gaming risk. Time-bounded windows create urgency and clean accounting.

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Pattern 5: Affiliate Commission Tiers by Partner Type

Not all affiliates are equal. Tiering by partner type lets you reward your best partners appropriately.

Example tier structure:

Standard affiliates (bloggers, small newsletters):
└── 20% of first payment, 30-day cookie

Premium affiliates (high-traffic publications, active agencies):
└── 25% MRR for 12 months, 60-day cookie, co-marketing support

Strategic partners (complementary SaaS, resellers):
└── 30% MRR ongoing, white-label option, dedicated account manager

Key principle: The higher the traffic quality and deal size, the higher the commission can go. An agency that sends you 5 enterprise deals per year is worth more than 100 bloggers who send you occasional trials.

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Pattern 6: Product-Embedded Referral (Virality by Design)

The referral mechanism is built into the product experience, not bolted on as a "refer a friend" email.

Examples:

• Calendar invite: "Powered by [Product]" link in email footer that every invitee sees
• "Created with [Product]" watermark on exported documents (Canva, Notion)
• "Invite your team" prompt mid-onboarding with a clear reason to do it now
• "Share your results" on high-value output screens

Why it works: The referral happens at the moment of peak product value, using the product itself as the promotional vehicle. No separate "referral program" needed.

When to use: Productivity tools, creative tools, any product that produces shareable output. Build this alongside the product, not as an afterthought.

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Pattern 7: B2B Account-Based Referral

In B2B, referrals are more targeted — you're asking for warm intros to specific account types, not a spray-and-pray link share.

How it works:

• Identify which customers have the broadest networks in your ICP
• Equip them with a referral kit (email template, one-pager, LinkedIn intro script)
• Reward for completed intro + reward uplift for closed deal
• Keep the referrer informed on progress (increases likelihood of them championing internally)

Example mechanics:

Step 1: Customer completes an intro call → $200 gift card
Step 2: Intro converts to a demo → $500 additional
Step 3: Demo converts to a deal → 10% of first year's contract value (capped at $5,000)

Why it works: High-trust referrals from B2B customers often shorten sales cycles dramatically. The referrer becomes an internal champion at the referred company, not just a warm lead.

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Share Mechanics Deep Dive

The 3 Share Channels That Drive Volume

Pre-Written Share Messages — What Works

Works:

"I've been using [Product] for 3 months and it's saved me hours on [specific task]. You can get started free using my link: [link]"

Doesn't work:

"Check out this amazing product I use! [link]"

The difference: specificity and personal endorsement. Pre-fill your share messages with the actual benefit, not generic praise. Make it easy for users to be specific advocates, not just sharers.

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Fraud Prevention

Referral fraud happens when users game the system (fake accounts, self-referrals, incentivized referrals).

Minimum safeguards:

• Email verification required before reward is credited
• Device fingerprinting to detect same-device self-referral
• Reward withheld until referred user completes a qualifying action (first payment, 7-day active use)
• Rate limiting on referral link sends per user

Warning signs of fraud:

• Referral conversion rate suddenly spikes above 60% (normal is 15–30%)
• High number of referrals from a single user (>20 in a week)
• Referrals with similar email patterns or same IP block

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Technology Options

For Customer Referral Programs

For Affiliate Programs

For Product-Embedded Viral Loops

Build these in-house. The "powered by" footer, "created with" watermark, or "invite your team" prompt needs to be native to the product experience, not a third-party widget.