What "good" product data actually means

Ask ten people what good product data means and you'll hear "detailed descriptions," "great photos," "SEO keywords." All downstream effects. The underlying properties are more boring and more useful: good product data is complete, consistent, structured, and accurate.

The four properties

Complete means every product has the fields that matter for its category filled in. Every shirt has a material. Every shoe has a heel height. Completeness is measurable: if material matters for your catalog and 60% of products have it, your completeness on that attribute is 60%.

Consistent means the same fact is expressed the same way everywhere. Not "100% cotton," "Cotton," and "cotton (organic)" across three products that are all organic cotton. Inconsistency breaks filters, confuses feeds, and makes your catalog look careless to anyone comparing products.

Structured means facts live in fields, not buried in prose. "Fits true to size" inside a description paragraph is readable by a human who finds it. The same fact in a fit metafield is readable by your filters, your feed, your size recommendation app, and every search engine and AI assistant that parses your page.

Accurate means it's actually true. Obvious - but at scale, accuracy decays. Suppliers send wrong data, copy gets pasted from a similar product, a material changes between seasons and the page doesn't.

Why "good" pays everywhere at once

Here's the reframe worth internalizing: most product data issues don't look like product data issues. They look like a filter that returns odd results, a Shopping campaign with weak performance, a category page that won't rank, an AI assistant that describes your product wrong. Teams then tune the filter, the campaign, the page - when the shared root cause was the data underneath.

That's also why data work compounds. Fix the material attribute across your catalog once, and filters, feeds, search, and AI visibility all improve together.

Where to start

Pick your top product category and your five most important attributes for it. Check twenty products. You now have a rough completeness and consistency score - and almost certainly a to-do list. The rest of this phase turns that instinct into a system.