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The retail operating system

One engine for every retail decision.

Most retailers run four or five separate tools.

Search in one tool, pricing in another, ads bolted on top — nobody owns the order shoppers see, and margin leaks between them. The Unified Decision Engine governs relevance, inventory, margin and sponsored demand in one pass, on every surface, including the AI assistants now doing the shopping.

Start with one surface. Leave the rest of your stack untouched.

Need one thing first? Start with our AI product recommendation engine or AI site search.

Face the Future — Relevance vs Bid retail media case study | Particular Audience

When Face the Future swapped relevance for bid-led auction logic, ad scale rose 9× but CTR collapsed -87.3% and sitewide conversion fell. The relevance-first proof point.

Relevance-first retail media on a beauty retailer

Average 2.2% CTR on promoted-item campaigns. Switching from Relevance to Bid collapsed CTR to 0.28%.

  • 2.2% Avg CTR with Relevance
  • -87.3% CTR when Bid replaced Relevance
  • -82.5% Overall desktop CTR drop

Face the Future enjoyed an average 2.2% CTR on promoted item campaigns (merchandise boost + retail media).

To chase scale they tested Bid strategy instead of Relevance. Ad scale jumped 9× — but retail-media CTR plummeted -87.3%, spend doubled, ROAS volatility spiked, and overall sitewide CTR fell -82.5% on desktop and -59.9% on mobile.

The cautionary tale: bid-based scaling without relevance is a tax on the entire site, not just the ad slots.

Turning off Relevance in favor of Bid increased ad scale 9× but collapsed CTR by -87.3%. — PA RMN Growth ReadME