The numbers that drive your store, each in its own page with an interactive chart, a data table, comparisons against prior period and last year, and a one-click CSV export.
| Date | Total Revenue |
|---|---|
| Apr 2026 | $482,318 |
| Mar 2026 | $461,902 |
| Feb 2026 | $438,712 |
| Jan 2026 | $412,481 |
Revenue, profit, orders, quantities, and averages.
Total sales over time, with period-over-period and year-over-year comparisons.
Revenue minus cost of goods, refunds, and discounts, tracked the same way as revenue.
Order volume over time, at your chosen granularity.
Line-item throughput across your catalog.
AOV over time, computed as total revenue divided by total order count per bucket.
A stacked view of the average order: refunds, taxes, shipping, cost of goods, and gross profit.
Average gross profit earned per order.
Average number of line items per order.
Average number of units shipped per order.
How customers behave over time.
Average CLV over time, with weekly, monthly, and yearly breakdowns.
Cumulative spend by acquisition cohort. Growing and plateauing cohorts stand out.
How much customers spend in the months after they first bought.
Spend behaviour across a customer's 1st, 2nd, 3rd and later orders.
New vs repeat customer orders, plus your repeat customer rate.
Overall TBP and the gaps between 1st to 2nd, 2nd to 3rd, and 3rd to 4th orders.
Consistent. Comparable. Exportable.
Daily, weekly, monthly, or yearly buckets, auto-selected from the period.
The same numbers, row by row, below the chart.
KPIs compared against the prior period and last year automatically.
Every report exports to CSV with one click.
Every report is available at the store level and at the organization level, rolled up across every store you run. Switch between the two without leaving the page.
Customer analytics →| Store | Orders | Revenue |
|---|---|---|
Main store 5,824 orders | 5,824 | $2.41M |
EU store 3,124 orders | 3,124 | $1.68M |
Wholesale 290 orders | 290 | $720K |
Connect your store and see your sales and customer KPIs without a data team or a spreadsheet.
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