Predictable increase in conversion for the average check - for and revenue - for the Mobile version To determine the most effective configuration of recommendations in the product card in the mobile version of the Gipfel online store site visitors were randomly divided into segments. The first segment was shown two widgets. related and similar products bottom The second segment was shown similar products from above and related .bottom .Third segment which was the control group recommendations were not shown. As a result of testing, the following results were obtained How CJM optimization with the help of personal recommendations allows you to increase revenue and average check.
Gipfel case According to the results of testing, the mechanics “Related and similar products from below showed the best results. It ensures the predicted growth of the average check per . and revenue growth – on revenue results is provided with the participation of recommendations on the site orders are made using recommendations Customer conversion interacting with the recommendations on the site times higher than the average for the site Average customer check. interacting with recommendations. higher than Czech Republic Mobile Number List the site average. Feedback on How CJM optimization with the help of personal recommendations allows you to increase revenue and average check.
Gipfel case Reminding the buyer about related products on the site. as well as recommending alternative options. We do more than just take care of the customer but also simplify it CJM. This increases loyalty and the number of purchases. and also increases the amount of the average check. And it directly positively affects the income of our business. Chugunov Alexey director of ecommerce at Gipfel. How CJM optimization with the help of personal recommendations allows you to increase revenue and average check. Gipfel case .The larger the store and the larger its product matrix. the more difficult it is Personalization.
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