Case Study

Denmark’s Leading Consumer Goods Retailer Drives a 17% Increase in AOV with Personalization

Segment

Food/Grocery

Objective

Enhance conversion, engagement, and end-shopper experience

Outcomes

+17%

in Average Order Value

+15%

Sales Per View on intelligent cross-sells

15%

Click-Through Rate

+71%

Sales Per View on mobile

Overview

The client, a major player in Denmark’s shopping cooperative, initiated efforts to meet elevated customer expectations. With a vast network and over 1.7 million local members, their focus was on elevating the end-shopper experience and driving increased conversion.

The Challenge

To address the challenge of personalization throughout the customer lifecycle, the client extensively evaluated providers. They chose Algonomy for its robust merchandising, AI-driven recommendations, and a platform conducive to continuous innovation.

Personalization is something that customers in the Danish market simply expect when they visit an e-shop. To meet our customer needs, we started by first implementing the most important part of the Algonomy platform: Recommend™ for Personalized Product Offers. We did this throughout our website. Soon after, we looked into implementing Discover™ for personalized product pages and lastly, Engage™, for personalized content and placements. All three modules work great together.

– Digital Marketing Manager

The Result

Move from Segmentation to 1:1 Personalization at Every Customer Touchpoint

Complete, unified commerce personalization

Connect all digital path-to-purchase touchpoints — search, navigation, recommendations, and content — to deliver one personal experience that supports the complete customer journey.

Most comprehensive library of 150+ personalization strategies

Accelerate time to market with our strategy library that ranges from wisdom of the crowd and collaborative filtering approaches to deep learning visual discovery and NLP approaches.

Advanced merchandising

Cross-sell and upsell seamlessly by leveraging product attributes and compatibility data. Create automated recommendations and bundles that take the load off your merchandisers.

Algorithmic decisioning for every user with real-time context

Leverage AI to detect each shopper’s stage in the buying process, and combine it with their affinities to pick the best strategy that delivers the most relevant 1:1 experience while meeting your revenue or engagement goals.

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