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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.

The Blue Space — Discovery for a high-consideration bathroom retailer | Particular Audience

Custom-filtered AI bundles delivered +27.5% post-click AOV and +17.6% units per transaction versus sitewide.

Discovery for a high-consideration bathroom retailer

Custom-filtered AI bundles delivered +27.5% post-click AOV and +17.6% units per transaction versus sitewide.

  • +27.5% Post-click AOV vs sitewide
  • +17.6% Post-click units per transaction vs sitewide
  • 11.2% Click through rate
  • 21.2% Click conversion rate

The Blue Space used customizable filters to keep every generated bundle aligned with its core product offer and margin targets while the model learned from live purchase behavior.

The source deck reports post-click results versus the sitewide benchmark. They describe the performance of shoppers who engaged with the module, not a randomized holdout uplift.

PA replaced our previous personalization stack outright. — Joshua Mammoliti, Founder & CTO, The Blue Space