E-commerce Customer Journey Map

The problem

DTC brands, Shopify operators, and consultants often need to explain where customers stall between ad click, landing page, cart, checkout, and repeat purchase. Evidence is scattered across ad copy, email, reviews, FAQs, and support logs. Waiting for analytics, CRM, or heatmap APIs can be too slow; many audits only need structured synthesis of existing materials.

How it works

ecommerce-customer-journey-mapper is a heuristic briefing skill. It starts by collecting business context, touchpoints, and the analysis goal, then normalizes reviews, FAQs, landing-page notes, ad copy, email copy, and support logs into journey stages, covering at least five stages from awareness to retention. It detects stage-specific friction, emotion patterns, and information gaps, then ranks opportunities by impact, effort, and stage sensitivity. The output is a Markdown report with an executive summary, journey stage map, friction report, opportunity matrix, and prioritized next steps.

Boundaries

It does not call real analytics, heatmap, or CRM APIs and does not scrape data. Its analysis is heuristic and advisory; output quality depends on the evidence provided. It is useful for quick audits, hypothesis ranking, and cross-team alignment, not for precise causal attribution or validated business outcomes.