What sells the most?
The ranking sorts the top 12 by revenue and shows units alongside it. The toggle changes the dimension without changing the period.
Product analytics without theatre
See which products actually create revenue
Obriym brings completed sales into one report: revenue, units, orders, average order value, trend and ranking by brand, category or SKU. Zero periods stay visible and currencies never get mixed.
01
Brand
02
Category
03
SKU
The same report as the admin workspace
Not a mockup: real `/admin/reports` components with sample data
Switch between Brand, Category and SKU. The KPIs, area trend, horizontal ranking and top-five list below use the same components and layout as the working Obriym report.
Product sales
Actual sales revenue and units from orders in the selected period. Switch the breakdown to see the contribution of brands, categories, or individual SKUs.
Sales revenue
184 600 ₴
Units sold
224
Sales orders
143
Average product basket
1 291 ₴
Product revenue trend
Peaks and slowdowns with empty periods shown honestly
What drives sales
The top three account for 80% of product revenue
1Luna58 units68 400 ₴
2Mono76 units47 200 ₴
3Classic49 units31 800 ₴
4Atelier23 units22 100 ₴
5No brand18 units15 100 ₴
Revenue = price × quantity after line discount for confirmed, processing, shipped and delivered orders in the workspace currency; pending, cancelled and refunded orders are excluded. This is not profit: cost and partial returns are not deducted here. Brand/category use the product's current catalog assignment; 96% of order lines are linked to the catalog.
From chart to decision
The report answers concrete business questions
Does the business depend on three items?
Top-three concentration exposes how much revenue depends on a few brands, categories or SKUs.
Where were the gaps?
The trend fills days, weeks or months without sales with zero, so the line does not hide pauses between orders.
How well are sales classified?
The report shows the share of order lines linked to the catalog, explaining how much revenue can be attributed reliably to brand and category.
One revenue number, three useful views
Brand
Compare manufacturers
See which brand creates the most revenue and how many units sit behind that amount.
Category
Evaluate assortment structure
Find strong product groups and categories that occupy attention but produce few sales.
SKU
Reach the exact item
Name and SKU come from the sales snapshot, so the historical line survives later catalog edits.
How it is calculated
A clear data contract instead of attractive ambiguity
Included
- Orders that are confirmed, processing, shipped or delivered
- Revenue after each order-line discount
- Only the active workspace currency
- 30, 90 or 365-day periods
Never mixed or invented
- Pending, cancelled and fully refunded orders
- Amounts in another currency
- Margin or profit without historical cost snapshots
- Partial returns until exact line-level accounting exists
Need a deeper cut? Export CSV
One button exports all three dimensions — brand, category and SKU — with order count, units, revenue and currency, ready for further work in your spreadsheet.
Sales analytics questions
- Is this revenue or profit?
- It is revenue after order-line discounts. Obriym does not call it profit because the current purchase price is not a trustworthy historical cost snapshot for the moment of sale.
- Which orders appear in the report?
- Confirmed, processing, shipped and delivered orders. Pending, cancelled and fully refunded orders are excluded.
- What happens to a period with no sales?
- It stays on the chart with a zero value. The 30-day view uses days, the 90-day view uses weeks, and the 365-day view uses months.
- Where do brand and category come from?
- From the current product record when the order line is linked to the catalog. Name and SKU come from the sale snapshot. The report shows the linked-line percentage so the accuracy boundary remains visible.
Decisions grounded in facts
Stop guessing what drives sales
Connect your catalog to actual orders and get a useful report without manually reconciling brands, categories and SKUs.