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Case Study

Denmark’s Leading Retailer Drives AOV with Personalization

The Results

  • Intelligent cross-sells at checkout led to a significant increase in average order value and items per order (over 17%).
  • Mobile, in particular, experienced a remarkable lift of over 70% in sales per view.
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increase in Average Order Value
0 %
Sales Per View on intelligent cross-sell
0 %
Click-Through Rate
0 %
Sales Per View on mobile

Client 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.

Results
Client background
Challenge
Solution
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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
Move from Segmentation to 1:1 Personalization at Every Customer Touchpoint

1 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.

2 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.

3 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.

4 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.

The Results
Client Overview
The Challenge
The Solution

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0 %
Improved lead completion rate
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