
Particular Audience
6.3/10AI decision engine for online retailers that combines product search, recommendations, personalization, merchandising, pricing and retail media monetization.
Data last updated November 2026 · Our methodology
Overview
Particular Audience is a Sydney-founded retail technology company. Its Unified Decision Engine uses AI to rank a store's search results, product recommendations, personalized merchandising, pricing and promotions, and sponsored retail media placements together. The product is grouped into four areas. Discovery covers AI search, visual search, recommendations and generated category pages. Retail Media covers sponsored products and listings, rich media, shoppable video and a promotion hub. Price and Promo covers price affirmation, price beat and trade media. A platform layer adds agentic commerce through MCP and developer tools. These sit under two operating systems, DiscoveryOS and RevenueOS. The platform is modular: a retailer can start with one component, such as search or basket building, test it against a holdout group, and add more later. It suits mid-size and large retailers and grocers that want to earn ad revenue from their own sites, and the named customers include Target, Hy-Vee, The Warehouse Group, Mitre 10, Petbarn and Hamleys. It can be deployed as a Shopify app, through a tag added to an existing site, headless through APIs, or connected to an existing ad stack. Components are licensed separately, and no prices are published, so buyers need to contact sales for a quote. The main drawbacks are this lack of transparency and the scarcity of independent user reviews. Buyers have little outside evidence to go on beyond the vendor's own case-study figures, which the vendor itself calls directional.
Our Rating
AI Software6.4/10
Marketing6.3/10
Who Particular Audience is best for
Best software for E-commerceGood fit
The product is built for online retailers' search, recommendations and retail media.
Customers include large retailers such as Target, Hy-Vee and Wesfarmers businesses.
Merchandising and retail media teams use it to manage sponsored placements and promotions.
Less suited
There is a Shopify app, but pricing is quote-only and the modules are aimed at large catalogs.
Pros & Cons
Pros
- One engine ranks search, recommendations and sponsored placements together, so ads and organic results do not compete in separate systems.
- Modular licensing lets retailers start with one component, such as search, and test it against a holdout before adding more.
- Several deployment options: Shopify app, a script tag, a headless API, and MCP access for AI agents.
- Large retail customers in production, including Target, Hy-Vee and The Warehouse Group.
Cons
- No public pricing, plan tiers or contract terms.
- The website gives no security certifications or details on data handling.
- Very few independent user reviews; most performance figures come from vendor case studies the vendor calls directional.
- Too complex for small stores that only need basic recommendations.
Key Features
Particular Audience Pricing
Custom (per component licensing)
- Quote via sales
- Components licensed individually
- Holdout testing before expanding
Frequently Asked Questions
Each component is licensed separately, and no prices are published. Buyers request a quote through the vendor's contact form.
Yes. It is offered as a Shopify app. It can also be added to other sites with a tag script or used headless through its APIs.
Yes. Its agentic commerce layer exposes the catalog and decisioning to AI assistants and agents through MCP.
Yes. Retailers can start with a single component, such as search, recommendations or basket builder, and validate it against a holdout group before expanding.
It was founded in Sydney in 2019, has offices in Sydney, London and Vancouver, and serves clients in the US, UK, Canada and Australia.
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