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Post by blame their on Oct 25, 2023 5:07:21 GMT 1
Therefore, when planning your strategy, you must determine how recommendations will be tailored to individual audience segments and the context in which they find themselves. First, define your segments. Separate groups of users for whom you will prepare tailored types of recommendations. Example segments may look like this: new users, returning without without purchases, loyal users with a basket value significantly above average. Coming from a specific source. Here are some strategies you can use against them: New users Since we don't have any information about them, it would be best to show them the best selling or top rated phone number list ones on the home page in further interaction. Returning, but without purchases In this case, we can display - for example - recently viewed products on the home page. Once you have some information about such users. You can use it to display recommendations based on collaborative-filtering algorithms. Loyal with high average cart value These are our most valuable users who spend the most. It is worth serving them personalized recommendations, but using, for example, a price filter, presenting products from the upper price range. Users from CPC campaigns This is a specific type of user that is characterized by a high bounce rate. They land on a category or product page.
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