Rechercher

PythonReactSEOPDF
OpenClaw

Afrexai Customer Journey

Customer Journey Mapping

1kalin0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install 1kalin/afrexai-customer-journey

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

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...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/1kalin/afrexai-customer-journey
Version
—
Commit
4aa288d74ee19e3de6ec29dc6349470bfae9bab6
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

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

Contenu extrait

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

Skills associés

OpenClaw

bambu-studio-ai

heyixuan2

Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...

OpenClaw

geo-optimization

capt-marbles

Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discove...

OpenClaw

0protocol

0isone

Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.

OpenClaw

0x0-messenger

eijiac24

Send and receive P2P messages using disposable numbers and PINs. No servers, no accounts. Use for human notifications, approval flows, and agent-to-agent communication.