See what shoppers asked, clicked and bought.
Use country and date filters across sales, conversations, support and product activity. Attributed orders stay separate from assisted orders, so correlation is not presented as proof.
Start with the store result, then open the conversation.
Each view uses the same daily analytics data. Ticket counts are the exception because the support view reads their current state.
Check the main store signals
Review attributed revenue, assisted revenue, orders, average order value, conversations and recommendation activity.
Open orders linked to chat
See the attributed revenue trend and recent orders with their attribution confidence.
Find common outcomes
Review message volume, sentiment, topics, search success and the conversations connected to orders.
Track requests and tickets
Check open and closed tickets, resolution time, escalation rate and support volume.
See what shoppers opened
Review impressions, clicks, add-to-cart activity, products and country-level revenue.
Group conversations after the live chat ends.
A scheduled job assigns one sentiment and any matching product, cart, delivery, discount or support topics to conversations that have not yet been classified.
Classification runs outside the shopper response path, so it does not add time to the live reply.
The export includes every conversation that matches the filters, not only the current page.
Read the conversations behind a number.
Filter by message text, country, topic, sentiment and date. Open a transcript to inspect product cards, cited sources, cart actions, human involvement and timing.
Keep high-confidence orders separate from assisted ones.
Orders carrying a conversation or cart marker count as attributed. A timing match is reported as assisted and remains a correlation. Revenue uses Shopify shop money so totals stay comparable across markets.
Use the transcript before you change the store.
Check the questions, product results and support moments behind each market metric during the seven-day trial.