Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Other
Customer Journey Mapping
Create detailed customer journey maps analyzing touchpoints, emotions, drop-offs, metrics, and automation opportunities to optimize the entire customer lifec...
skill openclawclawhub Free
Create detailed customer journey maps analyzing touchpoints, emotions, drop-offs, metrics, and automation opportunities to optimize the entire customer lifec...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- 1kalin
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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 โ Consideration โ Purchase โ Onboarding โ Adoption โ Expansion โ 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"
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
Stage 4: Onboarding
Channels: Welcome emails, setup wizards, training, kickoff calls Key metric: Time-to-first-value (benchmark: <7 days for SaaS) Common drop-off: No clear next step, feature overload, missing integration support Automation opportunity: AI onboarding sequences, automated check-ins, smart tooltips
Stage 5: Adoption
Channels: In-app guidance, support tickets, knowledge base, CSM touchpoints Key metric: Feature adoption rate, DAU/MAU ratio Common drop-off: Users stuck on basic features, support response too slow Automation opportunity: AI usage nudges, proactive support, automated training paths
Stage 6: Expansion
Channels: QBRs, upgrade prompts, cross-sell campaigns, account reviews Key metric: Net Revenue Retention (benchmark: >110% for B2B SaaS) Common drop-off: No clear upgrade path, ROI not demonstrated, timing wrong Automation opportunity: AI health scoring, automated QBR prep, expansion triggers
Stage 7: Advocacy
Channels: NPS surveys, referral programs, case studies, reviews, community Key metric: NPS score (benchmark: >50), referral rate Common drop-off: Never asked, no incentive, bad recent experience Automation opportunity: AI-triggered review requests, referral tracking, testimonial collection
Touchpoint Scoring Matrix
Rate each touchpoint on: DimensionScore 1-5DescriptionFrequencyHow often customers hit this touchpointImpactHow much it affects purchase/retention decisionsEffortHow much work it takes your team (high = bad)SatisfactionCurrent customer satisfaction at this pointAutomation PotentialCan an AI agent handle this? (5 = fully automatable) Priority formula: (Impact ร Frequency ร Automation Potential) / Effort High score = automate first. Low satisfaction + high impact = fix immediately.
Drop-Off Diagnostic
When you find a drop-off point, run this checklist: Data: What does the funnel show? Exact % dropping at this stage? Reason: Survey/interview data? Support tickets mentioning this? Competitor: How do competitors handle this stage? Quick fix: Can you reduce friction in <1 week? Automation: Can an AI agent eliminate this drop-off entirely? Revenue impact: If you fix this, what's the $ value? (drop-off % ร pipeline value)
Industry Benchmarks
MetricB2B SaaSEcommerceProfessional ServicesVisitor โ Lead2-5%1-3%3-8%Lead โ Customer2-5%1-4%10-25%Time to First Value3-14 daysImmediate30-90 daysOnboarding Completion40-60%N/A70-85%12-month Retention85-95%20-40%70-85%NRR100-130%N/A90-110%CAC Payback12-18 months1-3 months6-12 months
Output Format
Your journey map should include: Visual flow: Stage โ Stage with conversion rates between each Touchpoint inventory: Every interaction, channel, owner, and automation status Emotion curve: Customer sentiment plotted across the journey Gap analysis: Where current experience fails vs. ideal Automation roadmap: Prioritized list of touchpoints to automate with ROI estimates 90-day action plan: Quick wins (Week 1-2), medium fixes (Month 1-2), strategic improvements (Month 3)
ROI of Journey Mapping
Companies that actively manage customer journeys see: 54% greater ROI on marketing (Aberdeen Group) 18x faster revenue growth from improved customer experience (Forrester) $823M additional revenue over 3 years for a $1B company improving CX by 1 point (Temkin Group) The math: If your funnel converts 2% end-to-end and journey optimization lifts that to 3%, you just grew revenue 50% without spending more on acquisition. Need industry-specific journey maps? Check out our AI Agent Context Packs โ pre-built frameworks for SaaS, Ecommerce, Healthcare, Fintech, and 6 more verticals. $47 each, or grab the Pick 3 Bundle for $97. Calculate your automation ROI: AI Revenue Leak Calculator Set up your first AI agent: Agent Setup Wizard
Category context
Long-tail utilities that do not fit the current primary taxonomy cleanly.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs
- SKILL.md
- README.md