Feedbooster: Applying Gemini to Product-Feed Optimisation
A proprietary platform from Relevance Digital for managing product feeds and generating product content at scale.
Feedbooster is Relevance Digital’s Gemini-powered platform for product-feed optimisation. It brings together product-data imports, catalogue management and AI-generated content to support the preparation of feeds for advertising campaigns.
The platform brings together our expertise in performance marketing and software development around a specific operational need: maintaining product feeds across large catalogues.
The challenge
Product-feed optimisation requires ongoing attention
Product feeds need to reflect changes in a retailer’s catalogue while meeting the information requirements of advertising campaigns. Across large catalogues, updating product fields and maintaining consistent content can involve repeated manual work.
The objective
Improve product feeds and reduce manual effort
Feedbooster aims to make product information easier to enrich and maintain across a catalogue. The objective is to reduce repetitive editing and help teams manage the feed content used in advertising campaigns.
What we built
A proprietary platform powered by Gemini
We developed Feedbooster to bring feed imports, product management and AI content generation into one application. Gemini supports the generation of content for configurable product fields.
Bringing catalogue data together
Feedbooster supports imports from Google Merchant Center, online feeds and uploaded XML or CSV files. Teams can bring different catalogue sources into the same platform, with synchronisation supporting updates as source data changes.
Generating product content at scale
Teams can configure content generation for selected product fields and apply it across multiple products. Batch processing supports content preparation across large catalogues.
Evaluating the impact
Advertising outcomes and operational efficiency
Feedbooster’s initial results cover its first nine customers. The reported measures address changes in campaign performance, ad disapprovals and manual effort.
Each measure answers a different question. Campaign performance assesses the advertising outcome. Ad disapprovals indicate issues affecting product advertising eligibility. Manual work saved assesses the operational benefit of using the platform.
The underlying measurement definitions, comparison periods and calculation methods are being confirmed before detailed results are published.
What this demonstrates
AI applied to a specific marketing workflow
Feedbooster shows how our performance marketing experience shapes the AI products we build. It addresses the recurring need to prepare and maintain product information for advertising.
The platform brings catalogue management and AI content generation into one application, giving campaign teams a dedicated tool for managing feeds at scale.
