Retail Media

What Retail Media does

Particular Audience is an AI-native retail technology company headquartered in Surry Hills, Sydney, Australia, with operating presence in London, Kyiv, and Ho Chi Minh City and a 46-person team across five locations. The company operates the DiscoveryOS platform, which unifies AI-powered semantic search, personalization, recommendations, sponsored ads, display media, audience building, and unified reporting into 13 composable modules that share a single product graph, customer graph, and measurement layer. Retail Media is one module within this platform, offering managed and self-service retail media products designed to help retailers operate on-site sponsored listings, category sponsorships, and brand showcases, framed in the company's own positioning as the answer to Amazon's roughly $10 billion in sponsored products ad sales for the rest of online retail. Underlying technology is a multi-modal AI stack combining vector search, natural language processing, computer vision, and behavioral data signals, with an item-based vector AI that operates without cookies or personal data and is GDPR and CCPA compliant.

The company sells primarily into enterprise retailers and retail media networks (RMNs) as well as brand manufacturers and suppliers, across verticals including fashion and apparel, health and beauty, furniture and homeware, electronics, grocery, and DIY. GTM is dual-motion: a direct enterprise field sales motion with BDRs in Sydney and London backed by white-glove managed services, and an API-first product motion with a public OpenAPI 3.1 specification, a Model Context Protocol (MCP) server, and integrations into ChatGPT, Claude, Cursor, LangChain, and Zapier. Revenue is generated through subscription-based platform licensing of individual or bundled modules plus managed services for integrations, creative development, and optimization; pricing is quote-based and not publicly disclosed. Reported customer outcomes include 4-5x revenue lift over legacy platforms, 30-60% basket size growth, 70%+ revenue per visitor uplift, and 99% reduction in manual merchandising work, with named enterprise customers including Target, Coles, The Fresh Grocer, and Shoe Palace. The company is privately held under Particular Audience Pty Ltd, with no disclosed funding rounds, parent company, or management roster in the available data.

Name

Retail Media

Legal name

Particular Audience Pty Ltd

Website

https://particularaudience.com

Company type

Private

Founded year

2019

Operating status

Operating

Headcount range

51–100 employees

Short description

Particular Audience provides an AI-native retail technology platform, DiscoveryOS, unifying retail media, search, personalization, and merchandising into 13 composable modules for enterprise retailers and retail media networks globally. Its Retail Media offering enables on-site sponsored listings and brand sponsorships as an alternative to Amazon's sponsored products.

Ownership category

akta.pro rank

Product category

Retail Media Technology

NAICS

Web Search Portals and All Other Information Services (519290)

akta.pro primary industry

Recommendation & Discovery Engines (content/product) (BPAMAAAG)

akta.pro secondary industries

Enterprise Search, Indexing & Content Discovery (HDAEAGAH), Omnichannel Commerce & Click-and-Collect Platforms (BPAMAGAL)

Keywords

• Retail media platform
• AI personalization
• Product discovery
• Sponsored advertising
• Recommendation engine

Headquarters

HQ city

Darlinghurst

HQ country

Australia

HQ region

Oceania

Offices5 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations

Revenue model

1. Retail Media Platform Licensing: Managed and self-service Retail Media modules for retailers to supplement or replace existing tools. Revenue generated through platform licensing and module adoption.
2. DiscoveryOS Modular Subscription: 13 composable modules that retailers can adopt independently or together. Each module shared on single product graph, customer graph, and measurement layer.
3. Managed Services: White glove managed services including integrations, onsite creative development, reporting and optimization. Full-service implementation model.

Pricing tiers

Go-to-market motion2 records

Distribution channels2 records

Marketing channels5 records

Core offering

Particular Audience operates DiscoveryOS, an AI-native retail technology platform that unifies retail media, AI-powered search, and personalization into 13 composable modules. The company provides managed and self-service Retail Media modules that enable brands and retailers to monetize on-site traffic through sponsored products, display media, brand showcases, category sponsorships, and guaranteed tenancy ad products. Its proprietary multi-modal AI combines vector search, natural language processing, computer vision, and behavioral data to deliver personalized retail experiences without relying on cookies or personal data.

Product overview

Particular Audience is an AI-native retail technology platform offering a unified system combining retail media, search, and personalization. The core DiscoveryOS platform provides 13 composable modules that can be adopted independently or together: Search Module (AI semantic search), Product Page Module (alternatives, cross-sell, bundles), Personalization Module (1:1 personalized experiences), Merchandising Module (rules, pinning, boosting), Basket Builder Module (cart cross-sell, bundles), Replenishment Module (predictive reorder), Agentic Module (MCP server, assistant-commerce), Display Media Module (onsite display, sponsored brand), Category Sponsor Module (category takeovers), Brand Showcase Module (brand stores, hero placements), Guaranteed Tenancy Module (fixed-tenancy ad products), Audiences Module (first-party audience building), and Reporting Module (unified measurement). Key product lines include Retail Media (managed and self-service sponsored products), Hyper-Personalization (recommendation engines), Automated Product Bundles, Adaptive Transformer Search (LLM-powered search), Visual Search (Computer Vision AI), Automated Price Beat, Pricing Intelligence, Boost Merchandising, and Merchandise Analytics.

Differentiator

Problem solved

Functional benefit

Brands

• DiscoveryOS: Modular retail intelligence and retail media platform that unifies AI-powered semantic search, personalization, recommendations, sponsored ads, display media, audiences, and unified reporting into 13 composable modules.

Products and services

• DiscoveryOS Modular retail intelligence platform that unifies AI-powered semantic search, personalization, recommendations, sponsored ads, display media, audiences, and unified reporting into 13 composable modules. Adopted independently or together by enterprise retailers and retail media networks.
• Retail Media Managed and self-service Retail Media modules for retailers and brand manufacturers, providing sponsored product placements, display advertising, brand showcases, category sponsorships, guaranteed tenancy, and detailed measurement including incrementality testing. Designed for retail media networks, marketplace media leaders, and brand-side investment teams.
• Hyper-Personalization Context-aware dynamic product and content recommendation engines that adapt every product list, carousel, and search result for each unique customer. Reported to deliver 70%+ revenue per visitor increase through personalized experiences across all surfaces.
• Adaptive Transformer Search AI-powered semantic search built on Large Language Models and transformer architecture that eliminates zero search results and enables conversational product queries. Reduces zero search result rates to under 1%.
• Automated Product Bundles Cross-sell automation through AI-generated product bundles with built-in filtering and control. Reported to increase basket size by 30-60% by automatically identifying complementary products.
• Visual Search Visual product discovery powered by Computer Vision AI, enabling visual similarity matching and See Similar functionality. Allows shoppers to find visually similar products and convert stockouts into alternative product views.
• Automated Price Beat Dynamic Couponing, Price Beat, Price Match and Best Affirmation for real-time price policy automation. Can increase SKU conversion by as much as 300% through automated competitive pricing responses.
• Pricing Intelligence Pricing analysis and intelligence tool providing competitive pricing optimization for retail merchandise.
• Boost Merchandising Merchandising optimization tool to maximize margin and sales mix through automated rules, pinning, and boosting on product detail pages.
• Merchandise Analytics Analytics suite for merchandise performance tracking and optimization decisions across the product catalog.
• Yield Optimizer Retail media yield optimization tool for CTR, coverage, and inventory modeling to maximize retail media revenue.
• Demand Engine Demand-side discovery product covering product search, personalization, and recommendations to surface demand signals across the retailer site.
• Agentic Commerce Product preparing retailers for AI agents and ChatGPT-driven shopping with Model Context Protocol (MCP) and Adaptive Transformer Search vector indexing.
• Ad Set Builder Sponsored ad set configuration and targeting surface for retailers to build and manage retail media campaigns.
• Unified Ranking Joint organic and sponsored ranking engine with merchant objectives, unifying paid and non-paid product ranking decisions.
• Retail Media Revenue Calculator Interactive 5-year retail media revenue forecasting tool covering 30+ ad products across 14 verticals for retailer planning.

Quantifiable outcome

• 4-5x increase in revenue over legacy platforms
• +6 more outcomes

Named customers4 records

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration4 records

AI capability8 records

Feature9 records

Partnerships

Three partnerships are on record, tiered core.

• Supabase (MCP Server)coreTechnology or IntegrationPublic MCP server hosted on Supabase infrastructure at txvehnzkbzzrpqyxvmpy.supabase.co for agentic commerce capabilities.
• ChatGPT / OpenAIcoreTechnology or IntegrationMCP server integration with ChatGPT for agentic commerce. OpenAPI spec compatible with ChatGPT Actions. ChatGPT plugin manifest available.
• Claude / AnthropiccoreTechnology or IntegrationMCP server integration with Claude for agentic commerce capabilities.

Scale indicators10 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Dynamic Yield: Dynamic Yield (a Mastercard company) offers personalization, recommendation, and testing for digital commerce and retail media. Comparable to PA's personalization and merchandising modules.
• Bloomreach: Bloomreach offers a commerce experience platform combining search, merchandising, personalization, and content for retailers. Highly comparable to PA's DiscoveryOS stack across retail media, search, and personalization modules.
• Algolia: Algolia is a search and discovery API platform widely used by retailers for on-site search, recommendations, and merchandising. Competes directly with PA's search and product page modules.
• Nosto: Nosto provides personalization, product recommendations, and content for online retailers. Comparable to PA's Hyper-Personalization and Basket Builder modules.
• Constructor: Constructor delivers AI-first search and product discovery for enterprise retailers, with click-through learning and personalization. Closely comparable to PA's Adaptive Transformer Search and personalization modules.
• Syte: Syte specializes in visual AI for retail, including visual search and automated product tagging. Direct competitor to PA's Visual Search and Computer Vision capabilities.
• Klevu: Klevu provides AI-powered search, product recommendations, and merchandising for e-commerce retailers. Direct competitor in the search and discovery layer of the retail stack.

Broad incumbents

• Shopify (Shopify Search & Discovery): Shopify bundles Search & Discovery, recommendations, and retail media (Shopify Audiences) into its commerce platform. A large-scale incumbent that competes with PA for Shopify Plus retailers.
• Coveo: Coveo provides AI-powered enterprise search and relevance across commerce, service, and workplace. Overlaps with PA's Adaptive Transformer Search and recommendation features at the enterprise level.

Emerging players

• Recombee: Recombee provides AI-driven recommendation engines for digital commerce and media. Comparable to PA's recommendation and personalization layers as an API-first alternative.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks7 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/particularaudience

Compliance2 records

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Retail Media