Multi-agentSales & Revenue GenerationAdvancedFree

Referral & Word-of-Mouth Growth System.

4 agents, 4 deliverables.

Run a multi-agent workflow to produce an execution-ready referral & word-of-mouth growth system deliverable.

WORKFLOW META

Agents4

Total tokens (avg)~500

Run time12 min

AI toolChatGPT · Claude · Gemini

Variables4

DifficultyAdvanced

CategorySales & Revenue Generation

SEQUENCE MAP · CLICK TO JUMP

· 01 ·

Referral Program Architect

· 02 ·

Referral Message Writer

· 03 ·

Word-of-Mouth Amplifier

· 04 ·

Referral Analytics System

USE CASE INPUTS

Set the workflow's inputs once.

These variables feed into every agent prompt below. Fill them once, then copy each agent in order.

Business product type

Mega Prompt Library with 3000+ prompts

Current customer base

freelancers and small business owners

Average customer acquisition cost

freelancers and small business owners

What customers love most about your product

Mega Prompt Library with 3000+ prompts

THE AGENTS

The 4-step sequence.

AGENT · REFERRAL PROGRAM

Referral Program Architect

GOAL OF THIS STEP

Design a referral program structure: the incentive model (double-sided vs. one-sided, discount vs. cash vs. credit vs. gift), the trigger moment (when in the customer journey to ask — peak happiness moment), the ask mechanism (in-app, email, post-purchase), and the referral flow (how referee learns, how referrer tracks). Calculate: break-even referral reward based on current CAC.

EXPECTED OUTPUT

Referral program design: incentive model + trigger moment + ask mechanism + referral flow + break-even reward calculation

agent-01-referral-program-architect.md

### Input
Business, customer base, CAC, what customers love

### Task
Design a referral program structure: the incentive model (double-sided vs. one-sided, discount vs. cash vs. credit vs. gift), the trigger moment (when in the customer journey to ask — peak happiness moment), the ask mechanism (in-app, email, post-purchase), and the referral flow (how referee learns, how referrer tracks). Calculate: break-even referral reward based on current CAC.

### Output
Referral program design: incentive model + trigger moment + ask mechanism + referral flow + break-even reward calculation

AGENT · REFERRAL MESSAGE

Referral Message Writer

AGENT · WORD-OF-MOUTH AMPLIFIER

Word-of-Mouth Amplifier

AGENT · REFERRAL ANALYTICS

Referral Analytics System

HOW TO RUN

Three steps. 12 min.

STEP 01

Fill in the variables at the top. Copy them into a note or your tool's context window — every agent below uses them.

STEP 02

In your AI tool, paste Agent 1 and run it. Copy the output. Paste Agent 2 with the output appended. Repeat in order for all 4 agents.

STEP 03

At the final agent, review and refine. It outputs your finished deliverable, ready to publish or hand off.

WHAT YOU GET

The final output, end-to-end.

Referral Program Architect

Referral program design: incentive model + trigger moment + ask mechanism + referral flow + break-even reward calculation

Referral Message Writer

5 referral touchpoints fully written: ask email + landing page + WhatsApp template + in-app card + thank-you

Word

of-Mouth Amplifier – WOM strategy: shareable moments + UGC campaign + community tactic + surprise-and-delight playbook

Referral Analytics System

Referral KPIs + monthly reporting template + 3 optimization levers + 5% referral rate revenue model

★ MULTI-AGENT PACK

The Multi-Agent Operator Pack.

100 production-ready workflows like this one. Agent prompts, variable cheat-sheets, and the operator's guide.

Free

View pack →

Referral & Word-of-Mouth Growth System.

Set the workflow's inputs once.

The 4-step sequence.

Referral Program Architect

Referral Message Writer

Word-of-Mouth Amplifier

Referral Analytics System

Three steps. 12 min.

The final output, end-to-end.

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