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Referral Program

作者 Mario Karras · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install abm-referral-program
功能描述
When the user wants to create, optimize, or analyze a referral program, affiliate program, or word-of-mouth strategy. Also use when the user mentions 'referr...
使用说明 (SKILL.md)

Referral & Affiliate Programs

You are an expert in viral growth and referral marketing. Your goal is to help design and optimize programs that turn customers into growth engines.

Before Starting

Check for product marketing context first: If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Gather this context (ask if not provided):

1. Program Type

  • Customer referral program, affiliate program, or both?
  • B2B or B2C?
  • What's the average customer LTV?
  • What's your current CAC from other channels?

2. Current State

  • Existing referral/affiliate program?
  • Current referral rate (% who refer)?
  • What incentives have you tried?

3. Product Fit

  • Is your product shareable?
  • Does it have network effects?
  • Do customers naturally talk about it?

4. Resources

  • Tools/platforms you use or consider?
  • Budget for referral incentives?

Referral vs. Affiliate

Customer Referral Programs

Best for:

  • Existing customers recommending to their network
  • Products with natural word-of-mouth
  • Lower-ticket or self-serve products

Characteristics:

  • Referrer is an existing customer
  • One-time or limited rewards
  • Higher trust, lower volume

Affiliate Programs

Best for:

  • Reaching audiences you don't have access to
  • Content creators, influencers, bloggers
  • Higher-ticket products that justify commissions

Characteristics:

  • Affiliates may not be customers
  • Ongoing commission relationship
  • Higher volume, variable trust

Referral Program Design

The Referral Loop

Trigger Moment → Share Action → Convert Referred → Reward → (Loop)

Step 1: Identify Trigger Moments

High-intent moments:

  • Right after first "aha" moment
  • After achieving a milestone
  • After exceptional support
  • After renewing or upgrading

Step 2: Design Share Mechanism

Ranked by effectiveness:

  1. In-product sharing (highest conversion)
  2. Personalized link
  3. Email invitation
  4. Social sharing
  5. Referral code (works offline)

Step 3: Choose Incentive Structure

Single-sided rewards (referrer only): Simpler, works for high-value products

Double-sided rewards (both parties): Higher conversion, win-win framing

Tiered rewards: Gamifies referral process, increases engagement

For examples and incentive sizing: See references/program-examples.md


Program Optimization

Improving Referral Rate

If few customers are referring:

  • Ask at better moments
  • Simplify sharing process
  • Test different incentive types
  • Make referral prominent in product

If referrals aren't converting:

  • Improve landing experience for referred users
  • Strengthen incentive for new users
  • Ensure referrer's endorsement is visible

A/B Tests to Run

Incentive tests: Amount, type, single vs. double-sided, timing

Messaging tests: Program description, CTA copy, landing page copy

Placement tests: Where and when the referral prompt appears

Common Problems & Fixes

Problem Fix
Low awareness Add prominent in-app prompts
Low share rate Simplify to one click
Low conversion Optimize referred user experience
Fraud/abuse Add verification, limits
One-time referrers Add tiered/gamified rewards

Measuring Success

Key Metrics

Program health:

  • Active referrers (referred someone in last 30 days)
  • Referral conversion rate
  • Rewards earned/paid

Business impact:

  • % of new customers from referrals
  • CAC via referral vs. other channels
  • LTV of referred customers
  • Referral program ROI

Typical Findings

  • Referred customers have 16-25% higher LTV
  • Referred customers have 18-37% lower churn
  • Referred customers refer others at 2-3x rate

Launch Checklist

Before Launch

  • Define program goals and success metrics
  • Design incentive structure
  • Build or configure referral tool
  • Create referral landing page
  • Set up tracking and attribution
  • Define fraud prevention rules
  • Create terms and conditions
  • Test complete referral flow

Launch

  • Announce to existing customers
  • Add in-app referral prompts
  • Update website with program details
  • Brief support team

Post-Launch (First 30 Days)

  • Review conversion funnel
  • Identify top referrers
  • Gather feedback
  • Fix friction points
  • Send reminder emails to non-referrers

Email Sequences

Referral Program Launch

Subject: You can now earn [reward] for sharing [Product]

We just launched our referral program!

Share [Product] with friends and earn [reward] for each signup.
They get [their reward] too.

[Unique referral link]

1. Share your link
2. Friend signs up
3. You both get [reward]

Referral Nurture Sequence

  • Day 7: Remind about referral program
  • Day 30: "Know anyone who'd benefit?"
  • Day 60: Success story + referral prompt
  • After milestone: "You achieved [X]—know others who'd want this?"

Affiliate Programs

For detailed affiliate program design, commission structures, recruitment, and tools: See references/affiliate-programs.md


Task-Specific Questions

  1. What type of program (referral, affiliate, or both)?
  2. What's your customer LTV and current CAC?
  3. Existing program or starting from scratch?
  4. What tools/platforms are you considering?
  5. What's your budget for rewards/commissions?
  6. Is your product naturally shareable?

Tool Integrations

For implementation, see the tools registry. Key tools for referral programs:

Tool Best For Guide
Rewardful Stripe-native affiliate programs rewardful.md
Tolt SaaS affiliate programs tolt.md
Mention Me Enterprise referral programs mention-me.md
Dub.co Link tracking and attribution dub-co.md
Stripe Payment processing (for commission tracking) stripe.md

Related Skills

  • launch-strategy: For launching referral program effectively
  • email-sequence: For referral nurture campaigns
  • marketing-psychology: For understanding referral motivation
  • analytics-tracking: For tracking referral attribution
安全使用建议
This skill appears to do exactly what it says: provide referral and affiliate program advice and templates. Before installing, consider: 1) The skill will look for and read product-marketing-context.md files in the agent workspace if present — remove or inspect any sensitive data in those files first. 2) It requests no credentials and has no install step, so it won't write binaries or ask for secrets. 3) If you prefer to review suggestions before they run automatically, disable autonomous invocation in your agent settings. Otherwise this skill is low-risk and proportionate to its purpose.
功能分析
Type: OpenClaw Skill Name: abm-referral-program Version: 1.0.0 The referral-program skill bundle is a legitimate marketing tool designed to help users create and optimize referral and affiliate strategies. It contains instructional markdown (SKILL.md), evaluation cases (evals.json), and reference documentation (references/affiliate-programs.md, references/program-examples.md) that are entirely consistent with its stated purpose. There is no evidence of malicious code, data exfiltration, or harmful prompt injection.
能力评估
Purpose & Capability
The name/description match the SKILL.md content: guidance on referral vs affiliate programs, incentives, metrics, launch checklist, templates and examples. It doesn't request unrelated binaries, cloud credentials, or external services beyond recommending common referral/affiliate tools.
Instruction Scope
Instructions tell the agent to read a local product context file if present (.agents/product-marketing-context.md or .claude/product-marketing-context.md). This is reasonable for tailoring recommendations, but it means the skill will look for and consume workspace files when available. Nothing in the instructions directs reading unrelated system files, environment variables, or exfiltrating data to unknown endpoints.
Install Mechanism
No install spec and no code files — the skill is instruction-only, so nothing is written to disk or downloaded during install.
Credentials
The skill declares no required env vars, credentials, or config paths. The guidance mentions third-party tools and integration ideas but does not request API keys or secrets itself.
Persistence & Privilege
always:false (default) and the skill can be invoked autonomously (disable-model-invocation:false), which is the platform default. Autonomous invocation combined with the skill's low access footprint is not a concern here, but users who prefer manual control should disable autonomous invocation in agent settings if available.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install abm-referral-program
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /abm-referral-program 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
- Initial public release of the referral-program skill. - Provides expert guidance on creating, optimizing, and analyzing referral, affiliate, and word-of-mouth programs. - Includes frameworks for program design, incentive structures, optimization tactics, and success measurement. - Features launch checklists, sample email sequences, and tool/platform recommendations. - Covers both customer referral and affiliate program strategies, including when to use each.
元数据
Slug abm-referral-program
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Referral Program 是什么?

When the user wants to create, optimize, or analyze a referral program, affiliate program, or word-of-mouth strategy. Also use when the user mentions 'referr... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 193 次。

如何安装 Referral Program?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install abm-referral-program」即可一键安装,无需额外配置。

Referral Program 是免费的吗?

是的,Referral Program 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Referral Program 支持哪些平台?

Referral Program 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Referral Program?

由 Mario Karras(@mariokarras)开发并维护,当前版本 v1.0.0。

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