Product Information Management
Marketplaces are search-driven engines - not online catalogues where your website structure automatically works.
Amazon, eBay, B&Q and others rely on structured product data to match buyers with products. When your data fits the marketplace's taxonomy and search logic, your visibility increases. When it doesn't, your listings drift out of sight.
Listabl aligns your catalogue to marketplace taxonomies and search models so your products appear where buyers are actually looking.
Every major marketplace organises products using a strict category hierarchy and attribute model. Search relevance starts here.
Amazon is explicit about this:
“Selecting the most accurate category and providing complete and accurate product information helps customers find your products and improves search relevance.”eBay makes the same point in plainer terms:
“Item specifics are critical to buyers finding your listings through search and filters.”If your product is:
Then it simply won't appear for many searches — especially filtered ones.
The result:
Your product exists, but buyers never see it.
On your website, free text and flexible navigation can compensate for weak structure.
Marketplaces don't work that way.
They rely on:
Amazon's search algorithm uses category placement and structured attributes to understand what a product is before deciding who should see it.
As Amazon puts it:
“Product titles, key attributes and category assignments help our systems determine relevance for customer searches.”Search starts with structure. Keywords come second.
Amazon uses a Product Type attribute and a deep category hierarchy (often called the Browse Tree) to determine:
If a product is placed incorrectly, Amazon's systems struggle to match it to buyer intent - even if the keywords are technically present.
Amazon Seller guidance is clear:
“Incorrect categorisation can result in reduced visibility or suppressed listings.”That's why sellers who fully populate category-specific attributes consistently outperform those relying on titles alone.
eBay's search engine, Cassini, uses item specifics as a primary relevance signal.
eBay states:
“Listings with complete item specifics are more likely to appear in search results and filtered searches.”Item specifics are tied directly to taxonomy. If a buyer filters by brand, size, compatibility or condition - and you haven't populated that field - your listing is excluded.
Even a perfect title can't compensate for missing structure.
The result:
Visibility drops silently, especially as buyers rely more on filters.
B&Q's marketplace is built around category-led discovery. Customers browse by:
As B&Q describes it:
“Product titles, key attributes and category assignments help our systems determine relevance for customer searches.”For sellers, this means taxonomy alignment isn't optional. Products that don't fit B&Q's category and attribute model are harder to surface - even if demand exists.
As marketplaces scale, structure becomes the competitive advantage.
When product data isn't marketplace-aligned:
Most sellers only notice when sales stall - not when visibility first declines.
A Marketplace-ready schema means:
This turns product data into a search asset, not an operational burden.
The outcome:
Products appear more often, in more relevant searches, with less manual effort.
Listabl is built around marketplace taxonomy - not internal convenience.
Listabl:
Instead of managing categories and attributes in spreadsheets per channel, you structure once and let automation handle the rest.
Typical result:
Better placement in search, fewer suppressed listings, and cleaner scaling across channels.
If marketplaces drive your revenue, taxonomy should drive your operations.
Price matters - but only after a product appears. Taxonomy and attributes decide whether your listing is shown at all.
Yes. Categories, attributes and accepted values evolve constantly. Marketplace-first systems adapt automatically.
Rarely without issues. Website taxonomies optimise navigation. Marketplace taxonomies optimise search and filtering.