Wall Art GmbH

Approach & implementation

K&L Wall Art GmbH found Optimizely Personalization to be an easy-to-implement and reliable solution. By using the Web Product Recommendations and Email Product Recommendations modules (personalized email & trigger campaigns), the company now reaches its customers across various communication channels.

Web Product Recommendations was integrated at 13 points in the online stores. All visitors now see individual product recommendations during each session. The components were planned together with K&L Wall Art GmbH. The implementation was carried out by Optimizely's configuration team. Thanks to the optimal integration of Web Product Recommendations, K&L Wall Art GmbH was able to achieve a 7% increase in total sales and a 26% increase in average purchase value. The increase in sales was also actively supported by a simultaneous increase in conversion of 8.3%. Every fifth order placed by K&L Wall Art GmbH included product recommendations from Optimizely.

The successes achieved with Optimizely Personalization have convinced us without exception. In addition to the solution itself, we particularly appreciate the competent and personal support. Optimizely delivers what it promises.

Nico Schneider-Lohrentz

CEO K&L, Wall Art

Personalized recommendations by email

At the same time, Email Product Recommendations was successfully integrated into the email marketing activities. Since then, every weekly newsletter has been enriched with personalized recommendations. The product selection is based both on visitor-oriented algorithms, which are based on individual surfing and purchasing behaviour, as well as merchandising rules requested by K&L Wall Art GmbH. This means that the most relevant products for each recipient are displayed in each newsletter and sales are actively stimulated. Email Product Recommendations contributes to 34% more onsite traffic and 18% more interaction.

The parallel use of Web Product Recommendations and Email Product Recommendations also optimizes the presence of products in the store. This is because the importance and relevance of the recommended products are based on visitor behavior. The product catalog, which has been growing for over 10 years, is automatically and optimally presented to the visitor through the dynamic display of similar articles and the mixing of old and new products. Manual maintenance is no longer necessary.