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Afrexai Customer Journey

Customer Journey Mapping

1kalin0 source installs☆ 0 Repository stars

Installation

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Skill instructions

Customer Journey Mapping

Map every touchpoint from first click to loyal advocate. Identify drop-off points, emotional peaks, and automation opportunities across your entire customer lifecycle.

What This Does

Generates a complete customer journey map with:

  • Stage-by-stage breakdown: Awareness → Consideration → Purchase → Onboarding → Adoption → Expansion → Advocacy
  • Touchpoint inventory: Every interaction across channels (web, email, chat, phone, social, in-app)
  • Emotion mapping: Customer sentiment at each stage (frustrated, neutral, delighted)
  • Drop-off analysis: Where you're losing people and why
  • Automation opportunities: Which touchpoints can be handled by AI agents
  • Metrics per stage: Conversion rates, time-in-stage, cost-to-serve

Usage

Tell your agent:

  • "Map our customer journey from first touch to renewal"
  • "Identify the biggest drop-off points in our funnel"
  • "Show me where AI agents can replace manual touchpoints"
  • "Build a journey map for our [industry] product"

Journey Stage Framework

Stage 1: Awareness
  • Channels: SEO, paid ads, social, referrals, events, content
  • Key metric: Cost per qualified visitor
  • Common drop-off: Irrelevant landing page, slow load, unclear value prop
  • Automation opportunity: AI-powered content personalization, chatbot qualification
Stage 2: Consideration
  • Channels: Website, comparison pages, reviews, demos, free trials
  • Key metric: Lead-to-MQL conversion rate (benchmark: 5-15%)
  • Common drop-off: No social proof, pricing hidden, too many form fields
  • Automation opportunity: AI chat for instant Q&A, automated demo scheduling
Stage 3: Purchase
  • Channels: Sales calls, checkout, contracts, procurement
  • Key metric: MQL-to-customer rate (benchmark: 2-5%)
  • Common drop-off: Complex pricing, slow contract turnaround, no urgency
  • Automation opportunity: AI proposal generation, contract review, payment reminders
Sta...

Source information

Source
github
Repository
openclaw/skills
Path
skills/1kalin/afrexai-customer-journey
Version
—
Commit
4aa288d74ee19e3de6ec29dc6349470bfae9bab6
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

README

Customer Journey Mapping

Map every touchpoint from awareness to advocacy. Find where customers drop off, where they're delighted, and where AI agents can take over manual work.

What You Get

  • 7-stage journey framework (Awareness → Advocacy)
  • Touchpoint scoring matrix with automation priority formula
  • Drop-off diagnostic checklist
  • Industry benchmarks (B2B SaaS, Ecommerce, Professional Services)
  • ROI calculations for journey optimization
  • 90-day action plan template

Who This Is For

  • Growth teams mapping acquisition funnels
  • Customer success teams reducing churn
  • Product managers improving onboarding
  • Founders who want to know where their revenue leaks

Quick Start

Tell your agent: "Map our customer journey and identify the top 3 automation opportunities"

Part of the AfrexAI Toolkit

Extracted content

SKILL.md
# Customer Journey Mapping

Map every touchpoint from first click to loyal advocate. Identify drop-off points, emotional peaks, and automation opportunities across your entire customer lifecycle.

## What This Does

Generates a complete customer journey map with:
- **Stage-by-stage breakdown**: Awareness → Consideration → Purchase → Onboarding → Adoption → Expansion → Advocacy
- **Touchpoint inventory**: Every interaction across channels (web, email, chat, phone, social, in-app)
- **Emotion mapping**: Customer sentiment at each stage (frustrated, neutral, delighted)
- **Drop-off analysis**: Where you're losing people and why
- **Automation opportunities**: Which touchpoints can be handled by AI agents
- **Metrics per stage**: Conversion rates, time-in-stage, cost-to-serve

## Usage

Tell your agent:
- "Map our customer journey from first touch to renewal"
- "Identify the biggest drop-off points in our funnel"
- "Show me where AI agents can replace manual touchpoints"
- "Build a journey map for our [industry] product"

## Journey Stage Framework

### Stage 1: Awareness
- **Channels**: SEO, paid ads, social, referrals, events, content
- **Key metric**: Cost per qualified visitor
- **Common drop-off**: Irrelevant landing page, slow load, unclear value prop
- **Automation opportunity**: AI-powered content personalization, chatbot qualification

### Stage 2: Consideration
- **Channels**: Website, comparison pages, reviews, demos, free trials
- **Key metric**: Lead-to-MQL conversion rate (benchmark: 5-15%)
- **Common drop-off**: No social proof, pricing hidden, too many form fields
- **Automation opportunity**: AI chat for instant Q&A, automated demo scheduling

### Stage 3: Purchase
- **Channels**: Sales calls, checkout, contracts, procurement
- **Key metric**: MQL-to-customer rate (benchmark: 2-5%)
- **Common drop-off**: Complex pricing, slow contract turnaround, no urgency
- **Automation opportunity**: AI proposal generation, contract review, payment reminders

### Sta...
README
# Customer Journey Mapping

Map every touchpoint from awareness to advocacy. Find where customers drop off, where they're delighted, and where AI agents can take over manual work.

## What You Get

- 7-stage journey framework (Awareness → Advocacy)
- Touchpoint scoring matrix with automation priority formula
- Drop-off diagnostic checklist
- Industry benchmarks (B2B SaaS, Ecommerce, Professional Services)
- ROI calculations for journey optimization
- 90-day action plan template

## Who This Is For

- Growth teams mapping acquisition funnels
- Customer success teams reducing churn
- Product managers improving onboarding
- Founders who want to know where their revenue leaks

## Quick Start

Tell your agent: "Map our customer journey and identify the top 3 automation opportunities"

## Part of the AfrexAI Toolkit

- [AI Agent Context Packs](https://afrexai-cto.github.io/context-packs/) — $47 industry-specific agent frameworks
- [AI Revenue Leak Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) — Find where you're losing money
- [Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/) — Get your first AI agent running

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