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}}
Business product type
Business product type
Mega Prompt Library with 3000+ prompts
{{current_customer_base}}
Current customer base
Current customer base
freelancers and small business owners
{{average_customer_acquisition_cost}}
Average customer acquisition cost
Average customer acquisition cost
freelancers and small business owners
{{what_customers_love_most_about_your_product}}
What customers love most about your product
What customers love most about your product
Mega Prompt Library with 3000+ prompts
THE AGENTS

The 4-step sequence.

01
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
02
AGENT · REFERRAL MESSAGE

Referral Message Writer

03
AGENT · WORD-OF-MOUTH AMPLIFIER

Word-of-Mouth Amplifier

04
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