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The retail decisioning layer

One system decides what each shopper sees. Most retailers run four or five separate tools.

Search in one tool, recommendations in another, pricing in a third, ads bolted on top — nobody owns the order products appear in, and the margin leaks between them. Particular Audience replaces that patchwork with a single decision: a Unified Decision Engine that scores relevance, inventory, margin and sponsored demand in one pass, on every surface, including the AI assistants now doing the shopping.

Fashion retailer (anonymized) — See Similar turns a dead end into the next click | Particular Audience

Shopper-led similarity buttons on listing, search and recommendation carousels — including a next-best-item route out of out-of-stock size variants.

See Similar turns a dead end into the next click

Shopper-led similarity buttons on listing, search and recommendation carousels — including a next-best-item route out of out-of-stock size variants.

  • 60.1% Click through rate
  • 2.5% Click conversion rate

See Similar buttons were added to listing pages, search results and product recommendation carousels, letting shoppers pivot to visually similar items in the moment rather than backing out to a category page.

The largest single gain came from out-of-stock size variants. Where a shopper hit an unavailable size, the button filtered to the next best available item, converting sessions that would otherwise have ended at the stockout.