United StatesRetail and e-commerce2024 – ongoingVistaPrint
Amazon Personalize product recommendations
VistaPrint increased conversion by 10% after adopting Amazon Personalize, AWS reported
Problem
VistaPrint's existing recommendation system could not scale automatically with demand. Changes required specialist work.
Approach
VistaPrint trained Amazon Personalize models on customer interactions and product data. It served recommendations on its website and in marketing emails through a shared placement system.
Results
Takeaway
VistaPrint reused its recommendation infrastructure across website placements and email campaigns. Marketers could select models through placement templates.
Categories
- Size
- Large enterprise
- Industry
- Retail and e-commerce
- Business function
- Marketing and sales
- Innovation type
- Process innovation
- AI technology
- Recommendation and personalization
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Vendor case study
Sources
Source summaries
AWS described VistaPrint's production recommendation system. It reported a 10% conversion increase and a 30% reduction in total cost of ownership.
Full details are in the original sources.