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In this guide, you’ll learn how to use the Analytics section in the Commert Admin to understand performance across sales, orders, products, and customers. This guide explains what each chart or table means and how to adjust the filters. Everything here is written for non-technical users. Analytics Dashboard

Filters available on every analytics page

  • Date range: Pick a start and end date. Defaults to the last 7 days (including today).
  • Compare to previous period: Toggle on/off. When on (default), charts and tables show the same-length period right before your selected dates (for example, last week vs. the week before).
  • Order status: Choose which orders are counted. Defaults to Completed and Pending. You can also include Archived, Canceled, or Requires action.
  • Currency: Sales and refunds use your store currency. If you have multiple regions, the first region’s currency is used automatically.
  • Bars/lines show the current range and (when enabled) the previous range side by side.
  • Tables list the current period, and some also include the previous period for quick deltas.
  • If there is no data for a period, the card explains why instead of leaving it blank.

Overview dashboard

Analytics → Overview
  • Orders: Total orders in the selected date range plus change vs. the previous range. Respects the order status filter.
  • Sales: Total sales amount in your store currency with a trend chart for the period (and comparison if enabled).
  • New customers: Count of customers who placed their first order in the selected range, with a day-by-day trend.
  • Cumulative customers: Running total of all customers over time so you can see growth.
  • Top selling variants: Variants with the most units sold in the range. Click a row to open the product.
  • Sales by channel: Which sales channels drove the most orders.
  • Orders by region: Regions ranked by order volume.
  • Total products sold: Total units sold in the selected range (status filter applies).

Sales analytics

Analytics → Sales
  • Total sales: Sales amount over time in your store currency, with comparison to the previous period.
  • Sales by channel: Orders grouped by sales channel (for example, online store vs. marketplace) with current and previous counts.
  • Orders by region: Regions sorted by order volume so you can spot where demand is strongest.
  • Total refunds: Amount refunded in the date range with change vs. the previous period.
  • Top discounts: Discount codes used most often, showing how many times each was applied.

Orders analytics

Analytics → Orders
  • Orders: Total orders for the range with change vs. the previous period (status filter applies).
  • Payment provider share: Pie chart showing what share of orders used each payment provider, with an optional comparison to the previous period.

Products analytics

Analytics → Products
  • Top selling variants: Variants with the highest unit sales in the chosen range (status filter applies). Rows link to the product detail page.
  • Out-of-stock variants: Up to five variants that are currently out of stock, with pagination to see more if needed.
  • Top returned variants: Variants with the most returns in the selected range, helping you spot quality or fit issues.
  • Total products sold: Total units sold in the date range with change vs. the previous period.

Customers analytics

Analytics → Customers
  • New customers: Customers who placed their first order in the selected range, plus the change vs. the previous period.
  • Cumulative customers: Running total of customers so you can see overall growth over time.
  • Repeat customer rate: Share of orders from repeat customers vs. one-time customers, shown as a pie chart.
  • Retention rate: Percentage of customers who came back and ordered again in the selected range.
  • Totals and percentages always match the date range and statuses you picked.
  • When comparison is on, green upward arrows mean growth vs. the previous period; downward arrows mean decline.
  • If a card says there is no data, try widening the date range or removing extra statuses.