Company Research Report: Particular Audience
Company Overview
- Name: Particular Audience
- Mission of the Company: Democratizing access to cutting-edge AI for consumers and online retailers.
- When was the Company Founded: No information is available.
- Founders: No information is available.
- Key People in the Company: James Taylor (CEO and Founder)
- Headquarters: London, Sydney, and Vancouver
- Number of Employees: No information is available.
- Revenue of the Company: No information is available.
- What is the Company Known For: Known for AI-powered retail media, search, personalization, and recommendation solutions.
Products
Adaptive Transformer Search
- Description: Eliminate zero search results by leveraging the power of Large Language Models (LLMs) and advanced AI.
- Key Features:
- Utilizes vector embeddings.
- Reduces zero-search results.
- Adapts to user queries with contextual understanding.
Automated Product Bundles
- Description: Grow baskets through automated product bundles.
- Key Features:
- Automated cross-selling.
- Control over bundle components.
- Real-time adaptability based on user behavior.
Visual Search & See Similar
- Description: Visual discovery, filtering, and search powered by computer vision.
- Key Features:
- Enables similar item discovery mid-scroll.
- Solves stockout conversion issues.
Retail Media
- Description: Hyper-personalized supplier-funded sponsored product ads.
- Key Features:
- Self-service interface.
- Real-time personalization.
- Measures engagement, conversion, ad-fill rate, and ad revenue lifts.
Hyper-Personalization
- Description: Provides real-time, contextually relevant recommendations and content.
- Key Features:
- Personalizes every product list for each customer.
- Utilizes behavioral data and natural language processing.
Automated Price Beat
- Description: Real-time price policy automation to increase conversion rates.
- Key Features:
- Displays and beats the best market prices.
- Seamlessly integrates with eCommerce platforms.
Recent Developments
- Recent Developments in the Company:
- Included in The Lead’s “The Leading 100” list for their innovation in retail technology.
- New Products Launched:
- Adaptive Transformer Search (AI-powered to reduce zero-search results).
- New Features Added to Existing Products:
- Enhanced visual search and see similar functions to handle stockout scenarios.
- Improved hyper-personalization algorithms for dynamic product listings.
- New Partnerships:
- Worked with brands like DigiDirect and Groceries from DACH region to implement adaptive search and product bundling.
Case Studies
Fashion & Apparel
- Retail Media:
- Partnered with a cultural icon in streetwear to enhance contextual personalization.
- Results: +23.3% lift in visitor conversion rate, +14.5% increase in average revenue per visitor.
Health & Beauty
- Boost Merchandising:
- Integrated for Face the Future to control inventory and increase organic placements.
- Results: 79% sales attribution for boosted products.
Furniture & Homeware
- Multi-Modal Recommendations:
- Cotswold Co tested between Particular Audience and Algolia, showing +36.6% revenue increase using PA.
Electronics, Appliances & Toys
- Price Beat:
- Partnered with a music equipment retailer to engage in real-time price matching.
- Results: +209.5% uplift in conversion rate, +72.1% increase in average order value.
Grocery & Pets
- Bundles:
- Implemented automated bundles for Whittard of Chelsea, resulting in substantial revenue enhancements.
- Results: +57.5% lift in units per transaction, +12.1% increase in average order value.
Tools & DIY
- Price Affirmation:
- Collaborated with a multi-brand tools retailer to price match Makita products.
- Results: +61.3% uplift in session conversion rate, +292% increase in PDP conversion rate.
Marketplaces & Multi-Brand
- Personalizing Hype:
- Worked with streetwear and hype brands for dynamic personalization.
- Results: +14.5% lift in average revenue per visitor, +23.3% increase in visitor conversion rate.
Conclusion
Particular Audience excels in providing AI-driven solutions for product discovery, highly personalized customer experiences, and retail media monetization. Their adaptive search and product bundling technologies have significantly improved conversion rates and average order values for various clients across industries like fashion, health, beauty, and electronics. They continue to innovate with new product features and effective partnerships.