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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.

Hotel Chocolat — UX-led personalization at Hotel Chocolat | Particular Audience

+57.5% lift in units per transaction and +12.1% lift in average order value from tested bundle placements.

UX-led personalization at Hotel Chocolat

+57.5% lift in units per transaction and +12.1% lift in average order value from tested bundle placements.

  • +57.5% Units per transaction
  • +12.1% Average order value
  • 6.1% Click through rate
  • 17.5% Click conversion rate

Bundle experience measured through a comprehensive A/B test described in the source case-study book.

Hotel Chocolat used automated bundle placements to increase basket depth while reducing the merchandising effort required to keep gift and chocolate combinations current.

Particular Audience handled design, implementation, reporting and A/B testing. The source reports +57.5% units per transaction, +12.1% average order value, 6.1% CTR and 17.5% click conversion.

PA is a core part of our CRO toolkit. — Giovanna Rita, UX and CRO Manager, Hotel Chocolat