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Insights/Reseller economics

the category-browse vs search-bar algorithm gap — same listing, two rankings, most sellers only optimise for one

My dress ranks #2 when someone searches 'midi dress size 12'. Same dress is page five in the dress category browse. Two different algorithms. I was only optimising for one.

AM
AgentM Studio15 May 2026 · 1 min read

Vinted runs two different ranking algorithms and almost no seller realises it. The search bar — when a buyer types specific keywords — rewards keyword matches first, so a well-written title and description carries you. The category browse — when a buyer taps into 'Women › Dresses › Midi' without typing anything — rewards recency, listing completeness, and seller-level signals like dispatch time and reply rate.

Two different lists, two different sets of weights, two different traffic patterns. Most sellers spend their time tightening the title because they assume search is where the buyers come from. In reality the category browse is the bigger share of traffic for mid-priced items, and listings that don't fill the structured fields (material, pattern, style, size, colour) drop down the browse rankings even when their title and photos are excellent.

The fix is to optimise both at upload time. The title and description carry the search half. The brand field, size field, three blank attribute fields, and a sub-category one level deeper than the obvious one carry the browse half.

The brand field, size field, three blank attribute fields, and a sub-category one level deeper than the obvious one carry the browse half.

Listings that show up in the top 30 of both views sell at roughly three times the rate of listings that show up in only one. VintSnap auto-populates the structured fields the browse algorithm cares about — the bit most sellers forget after they've finished writing the title.

M
AgentM Studio

Part of our Reseller economics series — field notes from building VintSnap.

Resale · AI · An AgentM app

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