How Popsa used Amazon Nova to inspire customers with personalised title suggestions
5.5M personalised titles. That's what Popsa generated in 2025 using Amazon Nova—cutting costs and boosting purchase rates.
Why it matters
Popsa's production deployment of Amazon Nova via Bedrock demonstrates real-world ROI from newer model families: cost reduction, faster response times, and measurable engagement/conversion lift. This is a use-case validation story for enterprises evaluating Nova as a Claude/GPT alternative.
The key facts
8 to know5.5M personalised titles generated in 2025
Amazon Nova Lite and Pro models deployed via Bedrock
Multi-modal: metadata + computer vision + RAG pipeline
12-language support
Measurable uplifts in engagement and purchase rates
Response times cut (specific numbers not disclosed)
Cost reduction achieved vs. prior approach
Uses Claude 3 Haiku + Amazon Nova for hybrid inference
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: In this post, we share how we applied Amazon Bedrock and the Amazon Nova family of models to reimagine our Title Suggestion feature. By combining metadata, computer vision, and retrieval-augmented generative AI, we now automatically generate creative, brand-aligned titles and subtitles across 12…