Skip to main content
Analytics shows how your assistant is performing. On the platform, open your assistant and go to Analytics → General to see key metrics and charts for a date range you choose. Use it to understand engagement, measure conversions, and spot what’s working and what isn’t.
Data is updated once a day and shows information up to the previous day.

​
key metrics

At the top, four key metrics summarize the essentials for the selected period:
  • Chats — how many conversations took place.
  • Users — how many people chatted with the assistant.
  • ⌀ Chat duration — the average length of a conversation.
  • ⌀ Messages per chat — the average number of messages exchanged per conversation.

​
Chats

  • Chats — conversation volume over the date range.
  • Chats with product recommendations — the share of chats in which the assistant recommended products.
  • Chats with product clicks — the share of chats in which a shopper clicked a recommended product.
For in-store (POS) assistants, this section also shows chats per location so you can compare store performance.

​
Conversion

When conversion tracking is set up, this section shows how chats turn into purchases:
  • Checkouts — the number of attributed purchases and how they trend over time.
  • Conversion rate — checkouts divided by total chats.

​
Users

  • Users — how user numbers trend over time and across the day.
  • Device distribution — desktop vs. mobile vs. tablet usage.
  • Touchpoints — the pages (or in-store QR codes) where conversations begin.
  • Language distribution — which languages shoppers chat in.
  • Sentiment (conversation mood) — the overall tone of conversations.

​
Feedback

  • User feedback — how shoppers rated answers, split into positive and negative.
  • User feedback over time — how that feedback trends across the date range.

​
Products

  • ⌀ Value of clicked products — the average price of the products shoppers clicked.
  • Most shown products — which products the assistant surfaced most.
  • Most clicked products — which products shoppers clicked most.

​
Date range

Every tile and chart respects the date range you select, so you can compare periods, zoom into a campaign, or look at long-term trends. For in-store (POS) assistants, you can also filter by store.
Product data depends on a connected product catalog, and conversion data depends on conversion tracking. Chat tags power the Topics view.

​
Next steps

Topics

Discover what customers ask about and where your knowledge has gaps.

Conversion tracking

Attribute checkouts back to your assistant and measure conversion rate.