Data quality score
A data quality score sums up how ready a catalogue’s product data is, from checks on completeness, consistency and sources, often with a grade per product.
- Product data quality score
What it means
A data quality score turns a set of checks into a number you can track. A useful one is built from three measures:
- Completeness: the values a shopper filters on.
- Consistency: same unit, same word, everywhere.
- Confidence: how much of the data is traced to a source.
There is no universal pass mark. A score is worth reading when it shows its working: which checks ran, what each found, and what could not be checked at all. A grade on every product, worst first, tells you where to start.
It should warn rather than block. Some gaps are acceptable at launch, such as an optional specification missing on a slow-selling line, if someone saw them and chose to accept them. A channel’s hard rules are the exception, because the channel rejects those products anyway.
Think of it like this
A surveyor’s report on a house does not stop the sale. It lists what is sound, what needs work and what could not be inspected, and leaves the decision to the buyer.
For example
Behind one catalogue’s score, every barcode passes its check digit, 35 fridge freezers have no capacity and 12 products have no source recorded. You fill the capacities, find the sources, and export with one optional detail still missing on a slow seller, by choice.
Why it matters
A single number with nothing behind it hides its weakest part. A score that lists what it could not check, product by product, lets you launch with known gaps rather than unknown ones. It also shows which products to fix first.
Not to be confused with
Do not confuse it with Quality Score in Google Ads, which Google describes as “a diagnostic tool” that compares your ad quality with that of other advertisers.1 That score rates ads and keywords, not product data.
Sources
- Google Ads Help. About Quality Score for search campaigns.