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App
Interactive page
Ecommerce
Product

User Journeys

How shoppers move through a session, from session start to purchase or exit, with filters and two flow charts.

Filters for loyalty tier and date, the KPI row, purchase rate by tier, and the step-by-step flow.

Filters for loyalty tier and date, the KPI row, purchase rate by tier, and the step-by-step flow.

Data it reads
GA4 events as session steps and transitions (the ga4_event_steps and ga4_event_transitions semantic models).
Workspace
user_journeys (5 queries)
Filters
Loyalty tier and date range, in the header
Charts
KPI row, bar, two Sankey diagrams, table
Exports
PDF, Markdown, Excel

Rebuild prompt

Prompt
Build a User Journeys app from our GA4 events showing how shoppers move through a session from start to purchase or exit. Put loyalty-tier and date-range filters in the header and a KPI row with journey sessions, users, purchase rate and steps per session, next to a bar of purchase rate by loyalty tier. Below that: a step-by-step Sankey coloured by stage (Entry, Browse, Store, Cart, Checkout, Post-purchase, Exit) with completion rate on hover; a second Sankey of every move between events with users and average seconds to the next event; and a table of the most common complete session paths with sessions, completion rate and step count.

Variations to try

  • “Add a device filter and compare mobile with desktop.”
  • “Show where gold-tier shoppers leave checkout compared with members.”