Brand
Compare manufacturers
See which brand creates the most revenue and how many units sit behind that amount.
Product analytics without theatre
A day with no sales stays a zero on the chart, it never disappears from it.
Obriym brings completed sales into one report: revenue, units, orders, average order value, trend and ranking by brand, category or SKU — and currencies never get mixed.
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Brand
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Category
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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.
Revenue = price × quantity after line discount for confirmed, processing, shipped and completed 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
- 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.
- 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
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
- Net profit: advertising, shipping and marketplace commission costs
- 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?
- The report shows both revenue and gross margin: the cost price is snapshotted onto the order line the moment stock is committed, and the report states separately what share of lines it actually has a known cost for. This is margin, not net profit — advertising, shipping and marketplace commission costs are not included.
- 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.