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Over the years, the fashion house MADELEINE has mastered the step from catalogue mail order to multi-channel retailer with its own online shop and international reach.

By playing Picalike’s automated, image recognition based technology, MADELEINE hoped for a lower bounce rate, an increased willingness to buy and a resulting higher conversion rate.

An A/B test was carried out on selected areas where the Picalike recommendation technology could be used. The integration in the online shop of MADELEINE as well as the results of the test are presented in this case study.

With the Visualytics-Tool Picalike offers the possibility to generate personalized and automated outfits. With our outfit guide we present 10 outfit types including tips and tricks, which can be styled and scaled in no time at all with Picalike’s Visualytics Suite.

With a few clicks, scalable outfits can be created in the Picalike backend. These looks or outfits can be easily integrated via widget or API on the item detail page. But why not use these outfits in customer mailings? In this guide we illustrate our Complete the Look mailing solution with practical case studies, show possible fallback solutions and the integration of Inspirational and Top Performer Looks.

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