Case Study EMP

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Goals

EMP’s aim is to acquire sales and new customers via affiliate marketing. The KI-based bounce management solution from Bounce Commerce enables EMP to reduce the number of store abandonments and generate more sales, new customers and higher AOV.

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“We have been working with Bounce Commerce for a long time and have been able to increase our conversion rate and boost our new customer business thanks to the KI technology. Thanks to the individual product recommendations based on our customers’ search behavior, we can encourage 22% of store abandoners to buy again.

At 25%, the proportion of new customers is above average. The success speaks for itself and for long-term cooperation.

Gina-Lisa Hißmann, Online Marketing Manager at E.M.P. Merchandising Handelsgesellschaft mbH

Über EMP

EMP was founded in 1986 by fans for fans and has been Europe’s number 1 e-commerce company in rock entertainment merchandising ever since. The range consists of textiles, accessories, jewelry, visual and audio media and much more. EMP has always stood for a lifestyle characterized by individuality and wants to encourage everyone to live it out – an attitude to life that millions of fans worldwide share with the brand. With a diverse product range of over 30,000 items, including licensed products from internationally renowned bands such as Metallica, AC/DC and Iron Maiden as well as movie and series merchandise from Star Wars, Harry Potter, The Walking Dead and many more, EMP supplies millions of fans in almost every country in Europe.

The challenge

EMP has a diverse product range of over 30,000 items. With Bounce Commerce’s technology, EMP wants to address visitors who come to EMP’s online store via the Google Ads marketing channel and leave because they have not found the right product.

Bounce Commerce developed a customized strategy to avoid abandoned purchases and addresses customers with individual product recommendations to increase the conversion rate.

Avoid purchase abandonment

Bounce Commerce uses its technology for KI-based bounce management to address purchase abandoners. In order to provide customers with the best possible advice, the KI-based recommendation technology presents products according to their search behavior and product preferences. This means that if the customer is primarily looking for fashion products such as AC/DC T-shirts, alternative AC/DC products that they might also like are recommended to them when they leave the online store.

The KI acts on the basis of CF-based recommendations, matrix factorization, nearest neighbor methods and association rules. The KI uses machine learning to continuously learn to understand users better and better and recommends suitable products based on user behavior and neural networks.

Increase the conversion rate

By addressing users with personalized product recommendations, Bounce Commerce also enables an increase in the conversion rate and sales of the EMP online store. At the same time, customers can be kept in the store through product recommendations and migration to the competition can be avoided.

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