Definition
Product performance data is the set of metrics used to evaluate how products perform — views, conversion rate, search rank, returns, and revenue — used to guide merchandising, enrichment, and assortment decisions.
Key points
- It measures outcomes — visibility, engagement, conversion, and returns.
- It connects catalog data quality to commercial results.
- It guides where to enrich, promote, or drop products.
- Patterns in it often reveal underlying data gaps.
How is product performance data used?
Teams review it to prioritize work: promoting winners, enriching underperformers, and retiring dead stock. It becomes especially powerful when paired with data-quality signals — low-converting products frequently share missing attributes or thin content that enrichment can address.
Common pitfalls
- Judging products on performance without checking data completeness first.
- Optimizing metrics in isolation from the catalog that drives them.
- Acting on noise instead of stable trends.
FAQ
What metrics count as product performance data?
Common metrics include impressions and views, click and conversion rates, search rank and share of search, add-to-cart rate, return rate, and revenue or margin per product.
How is product performance data used?
Teams use it to decide what to promote, enrich, or drop, and to connect data quality to outcomes — for example, spotting that low-converting products often share missing attributes that enrichment can fix.