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Afrexai Customer Journey

Customer Journey Mapping

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安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 Afrexai Customer Journey 技能。 若已安装,则直接安装 Afrexai Customer Journey 技能。

Overview

Skill Key
1kalin/afrexai-customer-journey
Author
1kalin
Source Repo
openclaw/skills
Version
-
Source Path
skills/1kalin/afrexai-customer-journey
Latest Commit SHA
4aa288d74ee19e3de6ec29dc6349470bfae9bab6

Extracted Content

SKILL.md excerpt

# 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 excerpt

# 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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