What reports are available?

Six report tabs, all lenses on the same conversation data:

TabWhat it shows
ProductsWhich products generate the most support demand
TopicsRecurring themes: shipping, returns, compatibility
SentimentEmotional tone trends, before they show up in public reviews
PagesWhich storefront pages shoppers were on when they started a conversation
Back in stockWaitlist sign-ups by product
RevenueTracked chat interactions connected to orders, when the required Shopify reporting data is available

Reports live in Simple Chat in Shopify Admin and support the same common windows as Analytics, such as 7 to 90 days. The division of labor: Analytics answers "how much" and "who resolved it"; Reports answers "what are customers asking about" and "where on the store did it start."

Products and Topics are usually the first stop for operations. Sentiment and Pages tend to serve marketing and UX teams; Pages in particular helps with fixing confusing product pages or checkout friction at the source.

A review loop

  1. Pick a time range.
  2. Start with Topics or Products to find what drove the most conversations.
  3. Open Sentiment if you suspect frustration is climbing on a specific theme.
  4. Use Pages to tie issues to storefront locations, then fix content or policy clarity where the problem starts.
  5. Check Revenue when you want to know whether high-touch conversations correlate with orders, especially for campaigns where chat assists conversion.

Drill into the conversation counts behind any report when you need real examples for training or for filing a bug with your theme or fulfillment partner.

Caveats

Revenue depends on Shopify order and attribution data being available for tracked chat interactions; missing data means incomplete revenue ties, not zero support value. Back-in-stock metrics reflect the waitlist flows Simple Chat tracks, not every marketing list in your stack. Thematic reports are aggregates, so read sample threads before changing product copy or refund policy over a single spike. And when a report looks surprising, cross-check the same period in Analytics: a topic can look worse simply because more customers reached chat.

Changelog releases

This topic appears in the following release notes: