Post by blame their on Oct 24, 2023 22:07:08 GMT -6
How to automate marketing – strategies for using product recommendations Correct use of the recommendation potential depends on several key factors. When preparing an appropriate strategy, you should take into account the following elements: type of recommendations presented, user type, taking into account the data you have collected about him, the context in which the user is located.
Type of recommendation The most popular types of recommendations that you can use in your strategy: Similar products; Bought together; Most popular products/bestsellers; The most popular phone number list products in a given category; Last watched; Recently added to cart; Users who viewed this product also viewed; Users who bought this product also bought. AI recommendation strategies in terms of user segments.
There is no single strategy that is optimal for all users. There are those who visit your website several times a week and have a rich purchase history, others visit your website sporadically and have never bought anything. Yet another segment are new users about whom we know nothing. The most advanced tools offering recommendations should be able to assess the level of information they have about a given user and, based on this, provide him with the appropriate type of recommendation.
Type of recommendation The most popular types of recommendations that you can use in your strategy: Similar products; Bought together; Most popular products/bestsellers; The most popular phone number list products in a given category; Last watched; Recently added to cart; Users who viewed this product also viewed; Users who bought this product also bought. AI recommendation strategies in terms of user segments.
There is no single strategy that is optimal for all users. There are those who visit your website several times a week and have a rich purchase history, others visit your website sporadically and have never bought anything. Yet another segment are new users about whom we know nothing. The most advanced tools offering recommendations should be able to assess the level of information they have about a given user and, based on this, provide him with the appropriate type of recommendation.