Cb Referral Loyalty Program Designer Publish

SKILL.md

---
name: International Referral and Loyalty Program Designer
description: Design referral, loyalty, membership, and ambassador programs for any overseas market in minutes. Get culturally adapted reward mechanics, fraud guardrails, launch plans, and lifecycle measurement frameworks — install and build your program in under 30 seconds.
---

# International Referral and Loyalty Program Designer

## Overview

A design framework for overseas referral, loyalty, membership, and ambassador programs that fit local motivation, trust, and incentive norms.

This is a pure descriptive OpenClaw skill for overseas expansion planning. It provides frameworks, templates, checklists, decision criteria, and risk reminders. It does **not** execute code, call APIs, access the network, scrape websites, submit forms, make purchases, send messages, or perform any external action.

## When to Use

Use this skill when the user needs structured help with international referral and loyalty program designer in a cross-border or international expansion context.

Typical trigger phrases include:
- overseas referral program
- international loyalty program
- global membership strategy
- ambassador program abroad
- foreign market retention

## Target Users

Growth marketers, ecommerce teams, subscription businesses, app operators, and lifecycle marketers.

## Inputs to Collect

Ask for or infer the following context before producing the final framework:

- Target market or list of candidate markets
- Product, service, category, or business model
- Current business stage and domestic traction, if any
- Target customer segment and purchase context
- Expansion goal, timeline, budget range, and constraints
- Existing assets such as brand story, content, team, channels, customer data, or partners
- Known risks, assumptions, compliance concerns, and decision deadlines

If important inputs are missing, state the assumptions clearly and provide a version that can be refined later.

## Workflow

1. Diagnose customer motivation, purchase frequency, margin, trust level, social sharing behavior, and market norms around incentives.
2. Choose the program model: referral, points, tiered membership, ambassador, subscription perk, community reward, or partner benefit.
3. Design reward mechanics that are understandable, economically sustainable, culturally appropriate, and resistant to abuse.
4. Plan launch communication, eligibility rules, tracking logic, customer support scripts, and fraud monitoring checkpoints.
5. Define success metrics across acquisition quality, repeat purchase, margin impact, abuse rate, customer satisfaction, and long-term retention.

## Output Modules

### Customer motivation diagnosis
- Purpose: turn the user's market context into a structured planning component.
- Include: assumptions, recommended actions, decision criteria, and questions that require local validation.
- Output style: concise tables, checklists, and bullet-point rationale rather than generic advice.
### Program model selection
- Purpose: turn the user's market context into a structured planning component.
- Include: assumptions, recommended actions, decision criteria, and questions that require local validation.
- Output style: concise tables, checklists, and bullet-point rationale rather than generic advice.
### Reward and incentive design
- Purpose: turn the user's market context into a structured planning component.
- Include: assumptions, recommended actions, decision criteria, and questions that require local validation.
- Output style: concise tables, checklists, and bullet-point rationale rather than generic advice.
### Fraud and abuse guardrails
- Purpose: turn the user's market context into a structured planning component.
- Include: assumptions, recommended actions, decision criteria, and questions that require local validation.
- Output style: concise tables, checklists, and bullet-point rationale rather than generic advice.
### Launch communication plan
- Purpose: turn the user's market context into a structured planning component.
- Include: assumptions, recommended actions, decision criteria, and questions that require local validation.
- Output style: concise tables, checklists, and bullet-point rationale rather than generic advice.
### Lifecycle measurement framework
- Purpose: turn the user's market context into a structured planning component.
- Include: assumptions, recommended actions, decision criteria, and questions that require local validation.
- Output style: concise tables, checklists, and bullet-point rationale rather than generic advice.

## Output Format

Return a structured response with these sections:

1. **Input Summary** — what the user provided and what assumptions are being made.
2. **Strategic Diagnosis** — key opportunity, constraint, and uncertainty analysis for the overseas context.
3. **Framework Output** — the main tables, matrices, checklists, templates, or playbooks generated by this skill.
4. **Market Adaptation Notes** — what should change by region, language, channel, customer expectation, or operating model.
5. **Risks and Validation Tasks** — assumptions to test, professional review needs, and red flags.
6. **Next Actions** — 5–10 practical steps the user can take manually.

## Example Prompts

Try these real-world scenarios to see what this skill can produce:

**Prompt 1: Japan Loyalty Program Design**
> "We are a DTC coffee brand expanding to Japan. What kind of loyalty program works best for Japanese consumers — points, tiers, or something else entirely?"
> → Output: Customer motivation diagnosis for JP market (trust and exclusivity drive loyalty more than transactional rewards), recommended program model (stamp-card digital + early-access tiered membership), reward mechanics (gift-with-purchase preferred over discount, limited editions for exclusive tiers), cultural adaptation notes (omotenashi service expectations, seasonal limited-time rewards), fraud guardrails adapted to JP gift culture.

**Prompt 2: Brazil Referral Program**
> "We are an edtech app launching in Brazil. We want a referral program that drives high-quality users. AOV is R$30, margin is 50%. What reward structure works?"
> → Output: Social sharing behavior analysis for BR (WhatsApp-driven, trust in personal recommendations, price sensitivity high), program model recommendation (double-sided referral: existing user gets R$10 credit, new user gets 50% off first purchase), fraud guardrails (limit to 5 referrals/account, require 7-day active status before reward redemption), launch communication plan (WhatsApp share + in-app prompt timing), acquisition quality metrics.

**Prompt 3: Europe Multi-Market Ambassador Program**
> "We want to create a brand ambassador program that works across Germany, France, and the UK for our outdoor gear brand. Help us design one that accounts for local differences."
> → Output: Cross-market motivation comparison (DE: community belonging + quality association, FR: exclusivity and style validation, UK: utility + fair compensation), tiered program model recommendation (bronze/silver/gold with varying perks), reward localization per market (DE: product co-creation input, FR: limited-edition access, UK: commission + gear), country-specific legal notes (DE: employment risk if over-managed, FR: French Labor Code considerations, UK: GDPR consent for ambassador content usage), launch sequencing recommendation.

## Getting Started

👋 **cb-referral-loyalty-program-designer installed!**

I help you design loyalty and referral programs that work in any market — not just copy-paste what works at home, but programs adapted to local motivation and trust norms.

Try this to get started:
> "I want to launch a [referral/loyalty/ambassador] program in [market] for [product]. My AOV is [$X] and margin is [Y%]."

Or just describe your retention challenge and target audience.

## Safety and Limitations

Incentives, sweepstakes, referral rewards, and privacy practices may be regulated and require local legal review.

Additional limitations:

- No professional legal, tax, financial, medical, employment, investment, or compliance advice.
- No guarantee of market success, conversion improvement, legal compliance, or platform acceptance.
- Verify local laws, platform policies, consumer expectations, and current market facts with qualified professionals and reliable sources.
- Avoid stereotyping cultures or users; treat all cultural observations as hypotheses requiring local validation.

## Acceptance Criteria

- Matches program mechanics to user motivation and market context
- Provides reward structure options
- Includes fraud and abuse prevention ideas
- Defines launch and communication steps
- Includes retention and profitability metrics
- Provides structured, market-aware outputs rather than generic overseas expansion advice.
- Includes explicit assumptions, evidence gaps, and validation steps.
- Stays pure descriptive with no code execution, API calls, browsing, network access, or external side effects.