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marketingskills/skills/referrals/references/program-examples.md
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Corey Haines 30f9b9a729 feat: v2.0 skill renames and CRO consolidation (#291)
* feat: v2.0 skill renames and CRO consolidation

BREAKING CHANGE: Users must reinstall skills after this update.

## Skill Renames (16)
- ab-test-setup → ab-testing
- analytics-tracking → analytics
- aso-audit → aso
- competitor-alternatives → competitors
- email-sequence → emails
- free-tool-strategy → free-tools
- launch-strategy → launch
- onboarding-cro → onboarding
- paywall-upgrade-cro → paywalls
- popup-cro → popups
- pricing-strategy → pricing
- product-marketing-context → product-marketing
- referral-program → referrals
- schema-markup → schema
- signup-flow-cro → signup
- social-content → social

## Consolidations (1)
- page-cro + form-cro → cro (form content in references/form.md)

## Why 2.0?
- Shorter, cleaner skill names
- Consistent naming (no -strategy, -setup, -cro suffixes)
- All cross-references updated across 100+ files

Total skills: 40

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

* fix(v2.0): update evals for renamed skills, fix validate script, clear warnings

- Update 32 evals.json files to reference new skill names (page-cro → cro,
  product-marketing-context → product-marketing, etc.) — these were missed
  in the initial v2.0 rename pass since only SKILL.md and marketplace.json
  were updated.
- Fix validate-skills.sh: replace GNU-only `head -n -1` with portable awk
  so frontmatter extraction works on macOS.
- Move Copy Editing Checklist (56 lines) to references/checklist.md to
  bring copy-editing SKILL.md under the 500-line limit (508 → 457).
- Add "see X" pointers to marketing-psychology description for skill
  discovery (cro, pricing, copywriting).
- Update skill-request.yml issue template placeholder (page-cro → cro).

All 40 skills now pass validation with zero warnings.

* fix(v2.0): add evals for 8 missing skills, strip stale frontmatter from cro/form.md

Adds 48 new eval cases (6 per skill) for skills that previously had no evals:
aso, co-marketing, community-marketing, competitor-profiling, directory-submissions,
image, lead-magnets, video. All 40 skills now have eval coverage (251 total cases).

Strips leftover frontmatter from skills/cro/references/form.md — it was inherited
from the old form-cro SKILL.md before consolidation. Reference files don't need
frontmatter.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* fix(v2.0): rename paid-ads → ads

One more v2.0 simplification — drops the redundant 'paid-' qualifier. Updates
the skill directory, SKILL.md frontmatter, evals.json, README skill table, the
v2.0 rename table in VERSIONS.md (now 17 renames), and all cross-references in
related skills (ad-creative, aso, competitor-profiling, customer-research,
lead-magnets, marketing-ideas) plus the tools/integrations guides.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* fix(v2.0): bump SKILL.md frontmatter version to 2.0.0 for all 40 skills

VERSIONS.md was already updated to 2.0.0 but the metadata.version field inside
each SKILL.md was still on 1.x. That mismatch would have caused the update-check
flow to perpetually report 'update available' since it compares VERSIONS.md
against local SKILL.md metadata versions.

Caught by codex review (P1).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* fix(v2.0): add legacy product-marketing-context.md filename fallback

Before this fix, users upgrading from v1.x who had a `product-marketing-context.md`
file would lose automatic context loading — every skill only checked the new
`product-marketing.md` filename. Now all 40 skills also accept the legacy
filename (in either `.agents/` or `.claude/`), and the README migration command
covers both legacy and current filenames.

Caught by codex review (P1 + P2).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* fix(v2.0): re-sort README skills table alphabetically, fix ads box width

The skills table had a few entries out of alphabetical order from the renames
(co-marketing was after cold-email, ads was at the renamed position).
Re-sorted alphabetically per sync-skills.js. Also padded the 'ads' cell in the
ASCII flow diagram to keep the box width consistent.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* fix(v2.0): document folder cleanup on upgrade, stop sync-skills from re-adding skills array

README upgrade guide now includes:
- A clear cleanup step for stale v1.x skill folders (renamed + consolidated) so
  users don't end up with both old and new folders side-by-side after upgrading
- The full v1 to v2 rename map for reference
- Existing product-marketing-context.md migration steps (preserved)

sync-skills.js no longer (re-)introduces a `skills` array on marketplace.json --
Claude Code's plugin schema discovers skills via the `skills/` directory, and the
explicit array was failing validation. The script now refreshes the description
count and strips the stale array if present.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
2026-05-13 22:05:15 -07:00

3.2 KiB
Raw Blame History

Referral Program Examples

Real-world examples of successful referral programs.

Contents

  • Dropbox (Classic)
  • Uber/Lyft
  • Morning Brew
  • Notion
  • Incentive Types Comparison
  • Incentive Sizing Framework
  • Viral Coefficient & Metrics (Key Metrics, Calculating Referral Program ROI)

Dropbox (Classic)

Program: Give 500MB storage, get 500MB storage

Why it worked:

  • Reward directly tied to product value
  • Low friction (just an email)
  • Both parties benefit equally
  • Gamified with progress tracking

Uber/Lyft

Program: Give $10 ride credit, get $10 when they ride

Why it worked:

  • Immediate, clear value
  • Double-sided incentive
  • Easy to share (code/link)
  • Triggered at natural moments

Morning Brew

Program: Tiered rewards for subscriber referrals

  • 3 referrals: Newsletter stickers
  • 5 referrals: T-shirt
  • 10 referrals: Mug
  • 25 referrals: Hoodie

Why it worked:

  • Gamification drives ongoing engagement
  • Physical rewards are shareable (more referrals)
  • Low cost relative to subscriber value
  • Built status/identity

Notion

Program: $10 credit per referral (education)

Why it worked:

  • Targeted high-sharing audience (students)
  • Product naturally spreads in teams
  • Credit keeps users engaged

Incentive Types Comparison

Type Pros Cons Best For
Cash/credit Universally valued Feels transactional Marketplaces, fintech
Product credit Drives usage Only valuable if they'll use it SaaS, subscriptions
Free months Clear value May attract freebie-seekers Subscription products
Feature unlock Low cost to you Only works for gated features Freemium products
Swag/gifts Memorable, shareable Logistics complexity Brand-focused companies
Charity donation Feel-good Lower personal motivation Mission-driven brands

Incentive Sizing Framework

Calculate your maximum incentive:

Max Referral Reward = (Customer LTV × Gross Margin) - Target CAC

Example:

  • LTV: $1,200
  • Gross margin: 70%
  • Target CAC: $200
  • Max reward: ($1,200 × 0.70) - $200 = $640

Typical referral rewards:

  • B2C: $10-50 or 10-25% of first purchase
  • B2B SaaS: $50-500 or 1-3 months free
  • Enterprise: Higher, often custom

Viral Coefficient & Metrics

Key Metrics

Viral coefficient (K-factor):

K = Invitations × Conversion Rate

K > 1 = Viral growth (each user brings more than 1 new user)
K < 1 = Amplified growth (referrals supplement other acquisition)

Example:

  • Average customer sends 3 invitations
  • 15% of invitations convert
  • K = 3 × 0.15 = 0.45

Referral rate:

Referral Rate = (Customers who refer) / (Total customers)

Benchmarks:

  • Good: 10-25% of customers refer
  • Great: 25-50%
  • Exceptional: 50%+

Referrals per referrer:

Benchmarks:

  • Average: 1-2 referrals per referrer
  • Good: 2-5
  • Exceptional: 5+

Calculating Referral Program ROI

Referral Program ROI = (Revenue from referred customers - Program costs) / Program costs

Program costs = Rewards paid + Tool costs + Management time

Track separately:

  • Cost per referred customer (CAC via referral)
  • LTV of referred customers (often higher than average)
  • Payback period for referral rewards