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WISEPIM product performance analytics by sales and quality The Product Performance report breaks your catalog down to the individual product. Instead of totals, you see which products sell the most, earn the most, and where you have room to adjust pricing. The central insight this report enables is finding the overlap between revenue and quality: products that earn well but have weak content are your clearest short-term wins, because the demand is already proven. Products that are perfectly described but not selling point to a different kind of problem, pricing or visibility, that requires a different fix. Knowing which quadrant each product sits in tells you exactly where to spend your time.
Order data powers revenue and sales metrics. A connected Google Analytics 4 property adds item views and funnel metrics, and a connected Google Search Console property adds product-attributed search clicks, impressions, and positions. Products seen in GA4 can appear with zero synced sales, so high-traffic conversion gaps are not hidden.

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Metrics you get

Compare “Products sold” to your full catalog size. If only a small slice of your catalog sells, the rest may have visibility or pricing problems.

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GA4 product funnel

When GA4 is connected, WISEPIM combines commerce behavior with order and content-quality data. This exposes products that attract attention but fail to turn that attention into carts or purchases. The product funnel includes item views, additions to cart, checkouts, purchased items, item revenue, unit cart rate, and unit purchase rate. These are item-unit rates, not visitor-session conversion rates. WISEPIM GA4 product insight identifying a high-traffic product with conversion opportunity
Product attribution requires an exact, case-sensitive match between GA4 item_id and the WISEPIM SKU. See Google Analytics 4 for the tracking contract and troubleshooting steps.
The GA4 totals in the KPI cards are computed across all matched products in the date range, not just the rows currently visible in the table. Filtering or limiting the table does not change them.

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Google Search product performance

With Google Search Console connected, a Google Search product performance card appears below the KPI row. It shows the clicks, impressions, CTR, and average position attributed to your products in the selected period, along with how many products the metrics are attributed to. Two provenance details keep the card honest:
  • A freshness chip shows how far the data runs and its lag. Search Console data always trails by about 3 days; the card flags itself Stale when the lag grows beyond that.
  • A coverage line breaks the catalog down by mapping status: matched, not in sitemap, ambiguous, and unmatched. Products are attributed by matching their URLs against your sitemaps, so a product missing from the sitemap contributes nothing. The Sitemap gaps view lists every affected product.
Totals are computed across all attributed products. Per-product query rows are detailed top rows and may not be exhaustive, because Google anonymizes low-volume queries.

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What good looks like

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.

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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.

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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.

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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.

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Read the report

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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.

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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.

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Top products table

The product table is segmented into four views you can switch between with the tabs above it: Each row shows the product name and SKU, revenue, units sold, GA4 item views, unit purchase rate, period change, and quality. GA4 columns appear when product-level data is available, and Search Console adds GSC clicks, GSC impressions, and GSC position columns for attributed products. Sort any column to surface a different insight:
  • Revenue: your highest-value products.
  • Units: your highest-volume products.
  • GA4 views: products attracting the most measured attention.
  • Purchase / view: products that convert item views into purchased units.
  • GSC impressions: products Google shows most in search results.
  • GSC position: where each product ranks on average.
The CSV export includes every GA4 and Search Console column, plus each product’s sitemap mapping status. Clicking any row opens a detail drawer with a per-product revenue trend, quality and completion scores, peer ranking, category mix, and the exact-SKU GA4 product funnel when available. With Search Console connected it adds a Google Search performance block: the product’s clicks, impressions, CTR, and position, its top queries, search appearances, and Google’s indexed-version evidence (index verdict, canonical mismatches, and rich-result issues). High-impression queries with weak clicks are flagged as candidates for a clearer product title and search snippet. The screenshot below shows an example drawer. WISEPIM GA4 product insight drawer tying item conversion rates to product quality and revenue

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Act on what you find

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.
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.
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.
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.
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.

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.

Google Search Console

Connect GSC to add product-attributed search metrics to this report.