customer-journey-mapper

Map the full customer journey from discovery to repeat purchase, identifying touchpoints, friction, and optimization opportunities.

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Install skill "customer-journey-mapper" with this command: npx skills add leooooooow/customer-journey-mapper

Customer Journey Mapper

Map the complete customer journey from initial brand discovery through first purchase and into repeat buying behavior. This skill helps ecommerce operators identify every meaningful touchpoint a customer encounters, diagnose friction points that cause drop-off, and surface high-impact optimization opportunities that increase conversion rates and customer lifetime value.

Use when

  • You need to visualize and document the end-to-end path customers take from first hearing about your brand to becoming loyal repeat buyers on your Shopify, Amazon, or TikTok Shop store
  • A stakeholder asks "where are we losing customers?" and you want a structured analysis of every stage in the funnel rather than guessing based on intuition alone
  • You are launching a new product line or entering a new marketplace and need to proactively design the ideal customer experience across all channels before going live
  • Your conversion rate has dropped and you want to systematically audit each journey stage — awareness, consideration, purchase, post-purchase, and advocacy — to find the root cause

What this skill does

This skill walks through each stage of the ecommerce customer journey — awareness, consideration, evaluation, purchase, onboarding, retention, and advocacy — and produces a structured map of touchpoints, channels, customer emotions, friction points, and recommended optimizations. It analyzes the data you provide (traffic sources, conversion funnels, support tickets, review patterns) to identify where customers are dropping off and why. The output connects each journey stage to specific, actionable improvements ranked by expected impact and implementation effort, so you can prioritize your roadmap effectively.

Inputs required

  • Product or store URL (required): The URL of your ecommerce store or primary product listing so the skill can understand your offering, branding, and current customer experience setup
  • Traffic and conversion data (required): A summary or export of your current traffic sources, conversion rates by channel, and any funnel analytics you have (e.g., Google Analytics, Shopify Analytics, or marketplace dashboards)
  • Customer feedback or support data (optional): Reviews, survey responses, or common support ticket themes that reveal pain points customers experience at different stages
  • Target customer segment (optional): A description of the primary customer persona you want to map the journey for, which helps tailor touchpoint analysis to that specific audience

Output format

The output is a structured journey map document organized into sequential stages. Each stage includes: the stage name and definition, a list of all customer touchpoints with the channel they occur on, the customer's likely emotional state and intent at that point, identified friction points with severity ratings (high, medium, low), and specific optimization recommendations with expected impact. The document concludes with a prioritized action plan that ranks all recommendations by an impact-versus-effort matrix, making it immediately actionable. A summary scorecard at the top provides an overall journey health rating and highlights the top three opportunities for improvement.

Scope

  • Designed for: ecommerce operators, DTC brand teams, growth marketers, and customer experience managers
  • Platform context: platform-agnostic — works for Shopify, Amazon, TikTok Shop, Shopee, Lazada, WooCommerce, and multi-channel setups
  • Language: English

Limitations

  • Does not pull real-time analytics data automatically; you need to provide your own traffic and conversion data for analysis
  • Cannot track individual user sessions or perform behavioral analytics — this is a strategic mapping tool, not a session-replay or heatmap tool
  • Recommendations are based on ecommerce best practices and the data you provide; results should be validated with A/B testing before full implementation

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