He is looking for certain products and with a high probability he will put them in the basket. Additional motivation to buy can and should be used: offer other products that may be of interest to him. Therefore, both on the desktop and in the mobile version of the site, on the search page for each client, a selection of personal recommendations is formed – products selected taking into account the interests and preferences of the client. Search page We make interesting offers if the search does not return results And even if the client did not find the product he was looking for, he can make a relevant offer. For example, a customer looking for a particular brand of coffee beans might be interested in other brands of coffee from an online retailer’s catalog.
The average check of visitors using recommendation
Empty search We recommend discounted products The Eldorado store promotions page attracts like a magnet. There are so many special offers that every buyer will surely find something suitable for himself. Both in the desktop and mobile versions of the site, the same algorithm Mexico Mobile Number List works here – customers are offered bestsellers (the most popular products) with discounts. Promotions page Don’t Forget the Recommendations on the 404 Page When it comes to product recommendations, the 404 error page is unfairly overlooked. But after all, even if the buyer got to a non-existent page, he can make a relevant offer, which, perhaps, will serve as a reason to move to the next stage of the Customer Journey.
Higher than the average on the site Project comments
IN the usual desktop version of the Eldorado website, new visitors are offered collections of bestsellers that have interested other visitors to the store. And already familiar customers Mailing Data Pro are shown product recommendations based on their behavior and preferences. In the mobile version, the algorithm is different – here the client sees only personal offers, taking into account the information available about him. Page 404 results Through the use of different online merchandising strategies on different devices, we were able to achieve the following results: The conversion of visitors using recommendation blocks is 13% higher than the average.
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