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    "sections": [
      {
        "title": "Customer Journey Mapping",
        "body": "Map every touchpoint from first click to loyal advocate. Identify drop-off points, emotional peaks, and automation opportunities across your entire customer lifecycle."
      },
      {
        "title": "What This Does",
        "body": "Generates a complete customer journey map with:\n\nStage-by-stage breakdown: Awareness → Consideration → Purchase → Onboarding → Adoption → Expansion → Advocacy\nTouchpoint inventory: Every interaction across channels (web, email, chat, phone, social, in-app)\nEmotion mapping: Customer sentiment at each stage (frustrated, neutral, delighted)\nDrop-off analysis: Where you're losing people and why\nAutomation opportunities: Which touchpoints can be handled by AI agents\nMetrics per stage: Conversion rates, time-in-stage, cost-to-serve"
      },
      {
        "title": "Usage",
        "body": "Tell your agent:\n\n\"Map our customer journey from first touch to renewal\"\n\"Identify the biggest drop-off points in our funnel\"\n\"Show me where AI agents can replace manual touchpoints\"\n\"Build a journey map for our [industry] product\""
      },
      {
        "title": "Stage 1: Awareness",
        "body": "Channels: SEO, paid ads, social, referrals, events, content\nKey metric: Cost per qualified visitor\nCommon drop-off: Irrelevant landing page, slow load, unclear value prop\nAutomation opportunity: AI-powered content personalization, chatbot qualification"
      },
      {
        "title": "Stage 2: Consideration",
        "body": "Channels: Website, comparison pages, reviews, demos, free trials\nKey metric: Lead-to-MQL conversion rate (benchmark: 5-15%)\nCommon drop-off: No social proof, pricing hidden, too many form fields\nAutomation opportunity: AI chat for instant Q&A, automated demo scheduling"
      },
      {
        "title": "Stage 3: Purchase",
        "body": "Channels: Sales calls, checkout, contracts, procurement\nKey metric: MQL-to-customer rate (benchmark: 2-5%)\nCommon drop-off: Complex pricing, slow contract turnaround, no urgency\nAutomation opportunity: AI proposal generation, contract review, payment reminders"
      },
      {
        "title": "Stage 4: Onboarding",
        "body": "Channels: Welcome emails, setup wizards, training, kickoff calls\nKey metric: Time-to-first-value (benchmark: <7 days for SaaS)\nCommon drop-off: No clear next step, feature overload, missing integration support\nAutomation opportunity: AI onboarding sequences, automated check-ins, smart tooltips"
      },
      {
        "title": "Stage 5: Adoption",
        "body": "Channels: In-app guidance, support tickets, knowledge base, CSM touchpoints\nKey metric: Feature adoption rate, DAU/MAU ratio\nCommon drop-off: Users stuck on basic features, support response too slow\nAutomation opportunity: AI usage nudges, proactive support, automated training paths"
      },
      {
        "title": "Stage 6: Expansion",
        "body": "Channels: QBRs, upgrade prompts, cross-sell campaigns, account reviews\nKey metric: Net Revenue Retention (benchmark: >110% for B2B SaaS)\nCommon drop-off: No clear upgrade path, ROI not demonstrated, timing wrong\nAutomation opportunity: AI health scoring, automated QBR prep, expansion triggers"
      },
      {
        "title": "Stage 7: Advocacy",
        "body": "Channels: NPS surveys, referral programs, case studies, reviews, community\nKey metric: NPS score (benchmark: >50), referral rate\nCommon drop-off: Never asked, no incentive, bad recent experience\nAutomation opportunity: AI-triggered review requests, referral tracking, testimonial collection"
      },
      {
        "title": "Touchpoint Scoring Matrix",
        "body": "Rate each touchpoint on:\n\nDimensionScore 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)\n\nPriority formula: (Impact × Frequency × Automation Potential) / Effort\n\nHigh score = automate first. Low satisfaction + high impact = fix immediately."
      },
      {
        "title": "Drop-Off Diagnostic",
        "body": "When you find a drop-off point, run this checklist:\n\nData: What does the funnel show? Exact % dropping at this stage?\nReason: Survey/interview data? Support tickets mentioning this?\nCompetitor: How do competitors handle this stage?\nQuick fix: Can you reduce friction in <1 week?\nAutomation: Can an AI agent eliminate this drop-off entirely?\nRevenue impact: If you fix this, what's the $ value? (drop-off % × pipeline value)"
      },
      {
        "title": "Industry Benchmarks",
        "body": "MetricB2B SaaSEcommerceProfessional ServicesVisitor → Lead2-5%1-3%3-8%Lead → 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"
      },
      {
        "title": "Output Format",
        "body": "Your journey map should include:\n\nVisual flow: Stage → Stage with conversion rates between each\nTouchpoint inventory: Every interaction, channel, owner, and automation status\nEmotion curve: Customer sentiment plotted across the journey\nGap analysis: Where current experience fails vs. ideal\nAutomation roadmap: Prioritized list of touchpoints to automate with ROI estimates\n90-day action plan: Quick wins (Week 1-2), medium fixes (Month 1-2), strategic improvements (Month 3)"
      },
      {
        "title": "ROI of Journey Mapping",
        "body": "Companies that actively manage customer journeys see:\n\n54% greater ROI on marketing (Aberdeen Group)\n18x faster revenue growth from improved customer experience (Forrester)\n$823M additional revenue over 3 years for a $1B company improving CX by 1 point (Temkin Group)\n\nThe 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.\n\nNeed industry-specific journey maps? Check out our AI Agent Context Packs — pre-built frameworks for SaaS, Ecommerce, Healthcare, Fintech, and 6 more verticals. $47 each, or grab the Pick 3 Bundle for $97.\n\nCalculate your automation ROI: AI Revenue Leak Calculator\n\nSet up your first AI agent: Agent Setup Wizard"
      }
    ],
    "body": "Customer Journey Mapping\n\nMap every touchpoint from first click to loyal advocate. Identify drop-off points, emotional peaks, and automation opportunities across your entire customer lifecycle.\n\nWhat This Does\n\nGenerates a complete customer journey map with:\n\nStage-by-stage breakdown: Awareness → Consideration → Purchase → Onboarding → Adoption → Expansion → Advocacy\nTouchpoint inventory: Every interaction across channels (web, email, chat, phone, social, in-app)\nEmotion mapping: Customer sentiment at each stage (frustrated, neutral, delighted)\nDrop-off analysis: Where you're losing people and why\nAutomation opportunities: Which touchpoints can be handled by AI agents\nMetrics per stage: Conversion rates, time-in-stage, cost-to-serve\nUsage\n\nTell your agent:\n\n\"Map our customer journey from first touch to renewal\"\n\"Identify the biggest drop-off points in our funnel\"\n\"Show me where AI agents can replace manual touchpoints\"\n\"Build a journey map for our [industry] product\"\nJourney Stage Framework\nStage 1: Awareness\nChannels: SEO, paid ads, social, referrals, events, content\nKey metric: Cost per qualified visitor\nCommon drop-off: Irrelevant landing page, slow load, unclear value prop\nAutomation opportunity: AI-powered content personalization, chatbot qualification\nStage 2: Consideration\nChannels: Website, comparison pages, reviews, demos, free trials\nKey metric: Lead-to-MQL conversion rate (benchmark: 5-15%)\nCommon drop-off: No social proof, pricing hidden, too many form fields\nAutomation opportunity: AI chat for instant Q&A, automated demo scheduling\nStage 3: Purchase\nChannels: Sales calls, checkout, contracts, procurement\nKey metric: MQL-to-customer rate (benchmark: 2-5%)\nCommon drop-off: Complex pricing, slow contract turnaround, no urgency\nAutomation opportunity: AI proposal generation, contract review, payment reminders\nStage 4: Onboarding\nChannels: Welcome emails, setup wizards, training, kickoff calls\nKey metric: Time-to-first-value (benchmark: <7 days for SaaS)\nCommon drop-off: No clear next step, feature overload, missing integration support\nAutomation opportunity: AI onboarding sequences, automated check-ins, smart tooltips\nStage 5: Adoption\nChannels: In-app guidance, support tickets, knowledge base, CSM touchpoints\nKey metric: Feature adoption rate, DAU/MAU ratio\nCommon drop-off: Users stuck on basic features, support response too slow\nAutomation opportunity: AI usage nudges, proactive support, automated training paths\nStage 6: Expansion\nChannels: QBRs, upgrade prompts, cross-sell campaigns, account reviews\nKey metric: Net Revenue Retention (benchmark: >110% for B2B SaaS)\nCommon drop-off: No clear upgrade path, ROI not demonstrated, timing wrong\nAutomation opportunity: AI health scoring, automated QBR prep, expansion triggers\nStage 7: Advocacy\nChannels: NPS surveys, referral programs, case studies, reviews, community\nKey metric: NPS score (benchmark: >50), referral rate\nCommon drop-off: Never asked, no incentive, bad recent experience\nAutomation opportunity: AI-triggered review requests, referral tracking, testimonial collection\nTouchpoint Scoring Matrix\n\nRate each touchpoint on:\n\nDimension\tScore 1-5\tDescription\nFrequency\tHow often customers hit this touchpoint\t\nImpact\tHow much it affects purchase/retention decisions\t\nEffort\tHow much work it takes your team (high = bad)\t\nSatisfaction\tCurrent customer satisfaction at this point\t\nAutomation Potential\tCan an AI agent handle this? (5 = fully automatable)\t\n\nPriority formula: (Impact × Frequency × Automation Potential) / Effort\n\nHigh score = automate first. Low satisfaction + high impact = fix immediately.\n\nDrop-Off Diagnostic\n\nWhen you find a drop-off point, run this checklist:\n\nData: What does the funnel show? Exact % dropping at this stage?\nReason: Survey/interview data? Support tickets mentioning this?\nCompetitor: How do competitors handle this stage?\nQuick fix: Can you reduce friction in <1 week?\nAutomation: Can an AI agent eliminate this drop-off entirely?\nRevenue impact: If you fix this, what's the $ value? (drop-off % × pipeline value)\nIndustry Benchmarks\nMetric\tB2B SaaS\tEcommerce\tProfessional Services\nVisitor → Lead\t2-5%\t1-3%\t3-8%\nLead → Customer\t2-5%\t1-4%\t10-25%\nTime to First Value\t3-14 days\tImmediate\t30-90 days\nOnboarding Completion\t40-60%\tN/A\t70-85%\n12-month Retention\t85-95%\t20-40%\t70-85%\nNRR\t100-130%\tN/A\t90-110%\nCAC Payback\t12-18 months\t1-3 months\t6-12 months\nOutput Format\n\nYour journey map should include:\n\nVisual flow: Stage → Stage with conversion rates between each\nTouchpoint inventory: Every interaction, channel, owner, and automation status\nEmotion curve: Customer sentiment plotted across the journey\nGap analysis: Where current experience fails vs. ideal\nAutomation roadmap: Prioritized list of touchpoints to automate with ROI estimates\n90-day action plan: Quick wins (Week 1-2), medium fixes (Month 1-2), strategic improvements (Month 3)\nROI of Journey Mapping\n\nCompanies that actively manage customer journeys see:\n\n54% greater ROI on marketing (Aberdeen Group)\n18x faster revenue growth from improved customer experience (Forrester)\n$823M additional revenue over 3 years for a $1B company improving CX by 1 point (Temkin Group)\n\nThe 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.\n\nNeed industry-specific journey maps? Check out our AI Agent Context Packs — pre-built frameworks for SaaS, Ecommerce, Healthcare, Fintech, and 6 more verticals. $47 each, or grab the Pick 3 Bundle for $97.\n\nCalculate your automation ROI: AI Revenue Leak Calculator\n\nSet up your first AI agent: Agent Setup Wizard"
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