UK’s FastGrowing Supermarket Drives 46% Revenue Lift
The Results
- Using personalized content targeted to shoppers interested in specific categories, such as Fishing and Pets, resulted in up to 6X higher click-through rates for these categories.
- Algonomy DeepRecs NLP resulted in 2X higher engagement and 25X higher RPMI (revenue per 1000 impressions) for the special weekly event.
- The client witnessed a 10% higher average order value and a 46% lift in revenue per visitor.
Client Overview
A UK-based supermarket chain launched its online store and wanted to improve customer experience and increase sales through website personalization. The online shop ran two weekly events where products would sell out quickly. Therefore, there was a need to monitor inventory levels, recommend substitutes for out-of-stock items, and alert shoppers when a product was back in stock.
The Challenge
The client needed a strategic partner to guide their personalization plans and provide the technology that meets the client’s unique business model. An essential requirement was strategic advisory services to help the business teams better understand personalization’s role across the customer journey, identify specific opportunities, and roll out the plan systematically.
1 Algonomy DeepRecs Natural Language Processing (NLP) generated recommendations markedly differently from the traditional collaborative filtering recommendation techniques that rely on historical events.
2 Algonomy DeepRecs Natural Language Processing (NLP) generated recommendations markedly differently from the traditional collaborative filtering recommendation techniques that rely on historical events.
3 Algonomy Discover™ helped to achieve their vision of delivering a cohesive experience to shoppers no matter how they interact with the site.
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