James Taylor
Founder & CEO
Particular Audience
Particular Audience offers a modular retail media platform that utilizes AI-driven hyper-personalization and machine learning to deliver targeted sponsored product ads and customized search results. This technology enhances customer engagement and conversion rates by adapting product listings to individual shopper intent, significantly increasing revenue compared to traditional keyword-based systems.
- Advertising Technology
- Artificial Intelligence
- Data & Analytics
- Commerce & Shopping
- Software Only
Updated 23 months ago
Funding
Raised to date
$10.6MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Traditional retail media platforms often rely on keyword-based systems, which can lead to irrelevant search results and ineffective sponsored product ads. This results in lower customer engagement, reduced conversion rates, and missed revenue opportunities for retailers and brands. Furthermore, many platforms struggle to adapt to individual shopper intent, leading to a generic and impersonal shopping experience.
Solution
Particular Audience offers a modular retail media platform powered by AI and machine learning to deliver hyper-personalized search results and sponsored product ads. The platform adapts product listings to individual shopper intent, creating a unique website experience for each customer. By leveraging advanced AI technology, Particular Audience enhances customer engagement, increases conversion rates, and drives significant revenue growth compared to legacy systems. The platform enables retailers to seamlessly manage organic, trade, and retail media activities, while providing brands with the ability to target in-market shoppers and access detailed measurement and incrementality testing.
Target Audience
The primary customers are retailers looking to enhance their online shopping experience and increase revenue, as well as brands seeking to target in-market shoppers and improve the effectiveness of their advertising campaigns.
Features
- AI-powered hyper-personalization that adapts product listings and search results to individual shopper intent.
- Modular design allowing retailers to select and integrate specific features based on their needs.
- Adaptive Transformer Search that leverages large language models to eliminate zero search results.
- Automated product bundles to increase basket size.
- Automated price beat feature for real-time price policy automation.
- Visual search and "see similar" functionality powered by computer vision AI.
- Privacy-first design that operates without cookies or personal data.
- Integration with existing eCommerce stores.