A deep catalog accumulates from hundreds of manufacturers and product families, each with their own idea of what a complete record looks like. Definitions drift. The same attribute means one thing in one category and something else in another. Coverage that looks fine in aggregate hides categories that are nearly empty.
Auditing that by hand would take years and stall halfway. An independent score earns its keep here precisely because the gaps are too large and too scattered to see by eye, and because it ranks them, turning an impossible cleanup into a sequenced plan.
Consumer catalog tools grade on photos and prose. B2B does not work that way. Your buyers match on attributes, specifications, and documentation, so that is what we weight, tuned to your industry rather than a generic average. And in specialized fields where no public standard exists, you can define your own bar and we measure to it. The standard is yours. The score is independent.
The dimensions that decide whether a complex catalog can be found, filtered, and trusted, across both sub-indices.
ECLASS and ETIM lead here as the technical classification standards for industrial and distributor catalogs, with UNSPSC, GS1, Google, and Amazon. Public standards, published weights, so the number is auditable.
Yes, that is the core case it was built for. Catalogs with tens or hundreds of thousands of SKUs, multiple source systems, and inconsistent data are exactly where an independent quality score earns its keep, because the gaps are too large to see by eye.
A one-time audit is out of date the day after you receive it, because your catalog keeps changing. CatalogIQ is continuous: it tracks your score over time so the answer stays true as your catalog moves. The free score tells you where you stand today; the subscription is what keeps the answer true.
Yes. CatalogIQ scores the catalog data you designate as your trusted source, including data assembled from multiple systems. It measures what you point it at; it does not go discover or pull external data on its own.
Your PIM tells you what data you have. It cannot tell you whether that data is good enough compared to a recognized standard or to your peers, because it is grading its own work. An independent score, built on published standards, is the number you can put in front of leadership precisely because you did not generate it yourself.
You are benchmarked against a peer set for your category, scored on the identical methodology. That gives you a fair relative read without exposing or naming individual competitors.
Get an independent read on your catalog, ranked by impact, against the standards your buyers' tools actually use.