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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.

Life Pharmacy — Personalized recommendations across Life Pharmacy | Particular Audience

+23.2% lift in visitor conversion rate; +14.5% revenue per visitor.

Personalized recommendations across Life Pharmacy

+23.2% lift in visitor conversion rate; +14.5% revenue per visitor.

  • +23.2% Visitor conversion lift
  • +14.5% Revenue per visitor

Life Pharmacy used personalized product recommendations to adapt discovery to each shopper rather than serving the same fixed cross-sell sequence to every visitor.

The measured implementation reported a 23.2% lift in visitor conversion rate and a 14.5% lift in revenue per visitor, turning recommendations into a visible revenue line for the retail team.

Recommendations are now a measurable revenue line for us. — Sarah Crawford, Digital Lead, Life Pharmacy