What analytics does Simple Chat provide?

Analytics tracks three things: conversation volume, whether threads finished AI-resolved or staff-resolved, and billing-related summaries that map usage-based billing to resolved conversation volume. Open it from the Simple Chat navigation in Shopify Admin.

The billing summaries exist so finance and support leads look at the same numbers before an invoice lands. The resolution split is the operational signal: is automation carrying more of the load while customer issues stay under control?

Ranges and granularity

Analytics supports common rolling windows such as 7, 14, 30, and 90 days, with daily or weekly granularity depending on the view. Daily granularity is how you spot day-of-week patterns, weekend surges, or BFCM spikes without mistaking noise for a trend. When comparing periods, hold seasonality constant: put a 30-day window against the prior 30 days, not a quiet week against your busiest sale.

A review cadence that stays lightweight

1. Weekly, open a 30-day view. Note total volume and the AI-resolved versus staff-resolved split.
2. If AI resolution drops suddenly, look for policy gaps or product issues to fix in content, not just more staff.
3. Check the billing summaries against your expectations before month-end invoices surprise finance.
4. After a product drop or policy change, switch to a 7-day window to see whether the trend moved immediately.

Read the metrics together rather than in isolation. Rising AI resolution only matters if customer issues stay under control, and a staff-resolution spike may be intentional during a launch week. A one-page summary for leadership works well: volume trend, automation share, one sentence on where humans still matter.

Analytics answers "how much" and "who resolved it." For what customers are talking about (products, topics, sentiment), use the Reports page.