referral-program

Name: referral-program
Author: kostja94

753stars109forks

How to install referral-program?

kostja94/marketing-skills/referral-program

$npx -y skills add kostja94/marketing-skills --skill referral-program

Installs into the current project.

Summary

When the user wants to plan, implement, or optimize referral program strategy. Also use when the user mentions "referral program," "referral marketing," "user referral," "refer-a-friend," "word-of-mouth growth," "referral rewards," "referral tracking," "referral code," "referral

Files · 1

View on GitHub

SKILL.md

1	# Channels: Referral
2
3	Guides referral program strategy for AI/SaaS products. Leverage existing users to drive growth; 3%-5% conversion vs 1%-2% for ads; CAC 50%-70% lower; referred users LTV 30%-50% higher, retention 20%-30% higher. Referral is necessity in overseas markets, not alternative.
4
5	When invoking: On first use, if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
6
7	## Initial Assessment
8
9	Check for project context first: If `.claude/project-context.md` or `.cursor/project-context.md` exists, read it for product, audience, and value proposition.
10
11	Identify:
12	1. Product type: SaaS, AI tool, subscription
13	2. User base: Size, engagement, retention
14	3. Goal: Signups, purchases, or both
15
16	## Referral vs. Affiliate vs. Influencer
17
18	\| Dimension \| Referral \| Affiliate \| Influencer \|
19	\|-----------\|----------\|-----------\|------------\|
20	\| Who \| Existing users \| Professional promoters \| KOLs \|
21	\| Incentive \| Discounts, credits \| Commission \| Fees, product \|
22	\| Barrier \| Low (all users) \| Medium \| High \|
23	\| Conversion \| 3%-5% \| Varies \| Varies \|
24
25	Referral vs affiliate: Referral needs no landing page or application; integrated in dashboard. Affiliate requires landing page and approval.
26
27	## Reward Models
28
29	\| Model \| Use \|
30	\|-------\|-----\|
31	\| Two-way \| Both referrer and referee get rewards; highest participation \|
32	\| One-way \| Only referrer rewarded; cost control \|
33	\| Tiered \| Rewards increase with referral count (e.g. $10 for 1-5, $15 for 6-10, $20 for 11+); incentivizes volume \|
34
35	Benchmark: Rewards typically 10%-30% of product price; ~11% off or ~$21 value; weak incentives = low participation. Triggers: signup, purchase, activation, or sustained use.
36
37	## Mechanism Types
38
39	\| Type \| Use \|
40	\|------\|-----\|
41	\| Link-based \| Unique referral link; easy to implement; accurate tracking; share via email, social, SMS; works for web and app \|
42	\| Code-based \| Referral code (e.g. FRIEND20); memorable; offline events; mobile-friendly input \|
43	\| Social referral \| Share buttons (Facebook, X, LinkedIn); viral spread; friend trust; young users \|
44
45	## Tracking & Attribution
46
47	\| Method \| Use \|
48	\|-------\|-----\|
49	\| Cookie \| Web apps; 30-90 day window \|
50	\| URL params \| All platforms; persistent in link \|
51	\| Referral code \| Mobile, offline; manual entry \|
52	\| Account association \| Long-term tracking; subscription products \|
53
54	Attribution window: 30-90 days typical; 180 days for subscription. First-touch attribution to avoid double-counting.
55
56	## Fraud Prevention
57
58	\| Risk \| Action \|
59	\|------\|--------\|
60	\| Self-referral \| Detect same device, payment, IP \|
61	\| Fake accounts \| Validate email, payment; monitor patterns \|
62	\| Bulk/automation \| Rate limits; anomaly detection \|
63	\| Per-user cap \| e.g. Max 10 referrals per user \|
64
65	Use tool anti-fraud features; audit referrals regularly.
66
67	## Design Framework
68
69	1. Reward structure: Type (cash, discount, credits, free service); amount (10%-30% of price); trigger; cap
70	2. Tracking: Choose method; set attribution window; first-touch rule
71	3. UX: One-click share; clear rules; dashboard with referral data; notify on success
72	4. Fraud prevention: See above
73	5. Monitor & optimize: Referral rate, conversion, CAC, LTV; A/B test rewards and flow
74
75	## Best Practices
76
77	- Run multiple programs: Target different audiences, stages, goals
78	- Tiered rewards: Motivate top performers; progressive incentives
79	- Friction-free sharing: Mobile-friendly; one-click share
80	- Time-boxed incentives: "Refer this week for $15 off" creates urgency
81	- Placement: Web, email, app, in-product touchpoints; dashboard integration primary
82
83	## Implementation
84
85	\| Approach \| Use \|
86	\|----------\|-----\|
87	\| Self-build \| Full control; low cost; URL params or cookie + reward logic + fraud checks; open-source (e.g. RefRef) for faster start \|
88	\| Third-party \| Fast launch; Cello, Viral Loops, ReferralCandy (e-commerce), Impact (enterprise); monthly fee \|
89
90	Placement: Most programs integrate in product dashboard; no landing page or application needed. Optional landing page for value prop, rewards, and case studies.
91
92	Startup cost: Typically hundreds for tools + dev.
93
94	## Tools
95
96	\| Tool \| Use \|
97	\|------\|-----\|
98	\| Cello \| SaaS; AI-driven automation \|
99	\| Viral Loops \| Referral + waitlist + contests \|
100	\| ReferralCandy \| Shopify, e-commerce \|
101	\| Impact \| Enterprise; unified

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referral-program

753stars109forks

View on GitHub

How to install referral-program?

kostja94/marketing-skills/referral-program

$npx -y skills add kostja94/marketing-skills --skill referral-program

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Channels: Referral
2
3	Guides referral program strategy for AI/SaaS products. Leverage existing users to drive growth; 3%-5% conversion vs 1%-2% for ads; CAC 50%-70% lower; referred users LTV 30%-50% higher, retention 20%-30% higher. Referral is necessity in overseas markets, not alternative.
4
5	When invoking: On first use, if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
6
7	## Initial Assessment
8
9	Check for project context first: If `.claude/project-context.md` or `.cursor/project-context.md` exists, read it for product, audience, and value proposition.
10
11	Identify:
12	1. Product type: SaaS, AI tool, subscription
13	2. User base: Size, engagement, retention
14	3. Goal: Signups, purchases, or both
15
16	## Referral vs. Affiliate vs. Influencer
17
18	\| Dimension \| Referral \| Affiliate \| Influencer \|
19	\|-----------\|----------\|-----------\|------------\|
20	\| Who \| Existing users \| Professional promoters \| KOLs \|
21	\| Incentive \| Discounts, credits \| Commission \| Fees, product \|
22	\| Barrier \| Low (all users) \| Medium \| High \|
23	\| Conversion \| 3%-5% \| Varies \| Varies \|
24
25	Referral vs affiliate: Referral needs no landing page or application; integrated in dashboard. Affiliate requires landing page and approval.
26
27	## Reward Models
28
29	\| Model \| Use \|
30	\|-------\|-----\|
31	\| Two-way \| Both referrer and referee get rewards; highest participation \|
32	\| One-way \| Only referrer rewarded; cost control \|
33	\| Tiered \| Rewards increase with referral count (e.g. $10 for 1-5, $15 for 6-10, $20 for 11+); incentivizes volume \|
34
35	Benchmark: Rewards typically 10%-30% of product price; ~11% off or ~$21 value; weak incentives = low participation. Triggers: signup, purchase, activation, or sustained use.
36
37	## Mechanism Types
38
39	\| Type \| Use \|
40	\|------\|-----\|
41	\| Link-based \| Unique referral link; easy to implement; accurate tracking; share via email, social, SMS; works for web and app \|
42	\| Code-based \| Referral code (e.g. FRIEND20); memorable; offline events; mobile-friendly input \|
43	\| Social referral \| Share buttons (Facebook, X, LinkedIn); viral spread; friend trust; young users \|
44
45	## Tracking & Attribution
46
47	\| Method \| Use \|
48	\|-------\|-----\|
49	\| Cookie \| Web apps; 30-90 day window \|
50	\| URL params \| All platforms; persistent in link \|
51	\| Referral code \| Mobile, offline; manual entry \|
52	\| Account association \| Long-term tracking; subscription products \|
53
54	Attribution window: 30-90 days typical; 180 days for subscription. First-touch attribution to avoid double-counting.
55
56	## Fraud Prevention
57
58	\| Risk \| Action \|
59	\|------\|--------\|
60	\| Self-referral \| Detect same device, payment, IP \|
61	\| Fake accounts \| Validate email, payment; monitor patterns \|
62	\| Bulk/automation \| Rate limits; anomaly detection \|
63	\| Per-user cap \| e.g. Max 10 referrals per user \|
64
65	Use tool anti-fraud features; audit referrals regularly.
66
67	## Design Framework
68
69	1. Reward structure: Type (cash, discount, credits, free service); amount (10%-30% of price); trigger; cap
70	2. Tracking: Choose method; set attribution window; first-touch rule
71	3. UX: One-click share; clear rules; dashboard with referral data; notify on success
72	4. Fraud prevention: See above
73	5. Monitor & optimize: Referral rate, conversion, CAC, LTV; A/B test rewards and flow
74
75	## Best Practices
76
77	- Run multiple programs: Target different audiences, stages, goals
78	- Tiered rewards: Motivate top performers; progressive incentives
79	- Friction-free sharing: Mobile-friendly; one-click share
80	- Time-boxed incentives: "Refer this week for $15 off" creates urgency
81	- Placement: Web, email, app, in-product touchpoints; dashboard integration primary
82
83	## Implementation
84
85	\| Approach \| Use \|
86	\|----------\|-----\|
87	\| Self-build \| Full control; low cost; URL params or cookie + reward logic + fraud checks; open-source (e.g. RefRef) for faster start \|
88	\| Third-party \| Fast launch; Cello, Viral Loops, ReferralCandy (e-commerce), Impact (enterprise); monthly fee \|
89
90	Placement: Most programs integrate in product dashboard; no landing page or application needed. Optional landing page for value prop, rewards, and case studies.
91
92	Startup cost: Typically hundreds for tools + dev.
93
94	## Tools
95
96	\| Tool \| Use \|
97	\|------\|-----\|
98	\| Cello \| SaaS; AI-driven automation \|
99	\| Viral Loops \| Referral + waitlist + contests \|
100	\| ReferralCandy \| Shopify, e-commerce \|
101	\| Impact \| Enterprise; unified

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