This report needs synced order data from at least one connected platform. Products with no orders in the selected period do not appear in the rankings.
Metrics you get
| Metric | What it means |
|---|---|
| Products sold | Distinct products with at least one sale in the period. |
| Total units | Total quantity sold across all products. |
| Total revenue | Combined revenue from all product sales. |
| Total orders | Orders that included at least one product. |
What good looks like
| Signal | Concerning | Average | Healthy |
|---|---|---|---|
| Products sold as % of catalog | Under 20% | 20–40% | 40%+ |
| Revenue concentration | Top 10 products over 70% of revenue | Top 10 products 40–70% | Revenue spread across 30+ products |
| Quality score on top earners | Under 60 | 60–80 | 80+ |
| At-risk product count | More than 15% of catalog | 5–15% | Under 5% |
| Revenue at risk | Over 20% of total revenue | 5–20% | Under 5% |
Quality scores are calculated by WISEPIM’s data-quality engine. A score of 80+ generally means a product has complete descriptions, images, and structured attributes. See Data Quality for how scores are derived and which fields carry the most weight.
Revenue at Risk
The Revenue at Risk card sits at the top of the report and quantifies how much revenue is threatened. It aggregates products where revenue is declining period-over-period and the data-quality score is below the threshold needed to sustain strong conversion. The card shows the total revenue at risk and a count of the products contributing to it, so you have a business-case number before you start fixing content.Product Movers
The Product Movers section shows the biggest positive and negative shifts in revenue compared to the previous period. Risers are products gaining momentum, worth examining to understand what is working. Fallers are products losing ground, a prompt to check for content issues, stock problems, or new competition.Priority Matrix
The Priority Matrix is a scatter plot with revenue on one axis and data-quality score on the other. It makes the highest-priority products obvious: anything in the high-revenue / low-quality quadrant is earning well today but is fragile, a quality improvement there has the clearest ROI. Products in the low-revenue / high-quality quadrant are well-described but not selling, which points to a visibility or pricing issue rather than a content one.Read the report
Best sellers
A horizontal bar chart ranking your top products by units sold. These are your volume leaders: the products customers buy most, whatever the price.Revenue by category
A donut chart showing how product revenue splits across your categories. Read it alongside the category bar chart on the Revenue & Sales page to compare volume against value.Top products table
The product table is segmented into four views you can switch between with the tabs above it:| Tab | What it shows |
|---|---|
| All | Every product with sales in the period. |
| At Risk | Products with declining revenue and a quality score below the warning threshold. |
| Rising | Products with the strongest positive revenue trend. |
| Falling | Products with the steepest revenue decline. |
- Revenue: your highest-value products.
- Units: your highest-volume products.
- Average price: your pricing outliers.
Act on what you find
The Priority Matrix shows products in the high-revenue / low-quality quadrant
The Priority Matrix shows products in the high-revenue / low-quality quadrant
These are your clearest wins. The demand is proven, the content is holding them back. Open the product drawer to see exactly which fields are incomplete, then use AI enrichment to fill the gaps. Work through the At Risk tab in the table to prioritise by revenue at stake. Outcome: recovering conversion on products that already have traffic, with no additional spend on acquisition.
A high-volume product has a low average selling price
A high-volume product has a low average selling price
High volume at low price can mean you have underpriced a strong product. Use Bulk Edit → Change price to test a 5–10% increase on your top-volume items. Monitor the At Risk tab the following week to check whether unit sales hold. Outcome: higher revenue per unit from demand that already exists, without needing more traffic.
Most revenue comes from fewer than 10 products
Most revenue comes from fewer than 10 products
A top-heavy catalog is fragile. A single supply issue or competitor move on one of those products can hit revenue hard. Open Category Insights to find the categories where mid-tier products are not keeping up, then run AI enrichment on the products sitting just below your top earners. Outcome: a wider revenue base that is resilient to individual product volatility.
The Fallers section shows a once-strong product declining
The Fallers section shows a once-strong product declining
Click the product row to open the detail drawer. Check whether the revenue trend has been declining for multiple periods (structural) or just the latest (possible stockout or one-off). If the quality score is low, enrich the product. If the score is high, the problem is likely external, check the Channels page to see if one channel has dropped off. Outcome: early diagnosis of decline before it becomes a revenue gap you cannot recover in the period.
High-quality products are sitting in the low-revenue quadrant
High-quality products are sitting in the low-revenue quadrant
Great content but poor sales points to a visibility or pricing problem, not a content one. Check the Search & Discovery report to see whether these products appear in internal search results. Check Channels to see if they are listed on the right platforms. If the average selling price looks high relative to the category, try a limited price test with Bulk Edit → Change price. Outcome: activating dormant inventory that is already well-prepared to convert.
Related
Revenue & Sales
See the big picture of your sales performance across all products and channels.
Cross-sell & Bundles
Find which products are frequently bought together and build bundle opportunities.
Category Insights
Zoom out from individual products to category-level performance patterns.