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This is a means of binding users to repurchase in the long term. Of course, the core of this strategy is still user stratification. Different first conversion and repurchase binding strategies are adopted for different users to enhance the value of users. The repurchase discount strategy is an operation strategy closely related to the model. Simply put, for users who have made purchases in the past, different strategies are adopted to stimulate the increase of users' final consumption amount according to the purchase frequency of the cumulative consumption amount and the time of the last purchase. The same thinking can also be used to segment user behavior and adopt different coupons and old customer exclusive prices for different users to maximize the value of the overall user.


Demand prediction strategy The demand prediction strategy here portugal whatsapp resource is similar to the big data recommendation model. It is a strategy to recommend to users based on user portraits and user behavior characteristics. The common Taobao guess you like these are a way to promote the final conversion of users based on user needs and scenarios using big data recommendation. But sometimes we can't be obsessed with big data recommendations. If we don't have a lot of user behavior and all-round data as support like Alibaba, in fact, to a certain extent, personalized recommendations may not be what users really want. In terms of demand prediction, on the one hand, similar recommendations mean that users consume similar things and have the same preferences.


On the other hand, category extension is combined with user needs and scenarios. Get first enter the duration in the form of boutique courses, and then launch different categories such as audiobooks and e-books to meet the diverse needs of users. Recall and activation strategy The above mentioned are for users who have not lost. When they have needs again, we can use operation strategies to push users to make users who don't want to consume again and make users who want to consume more. But if users have already lost, then we need to recall the users and reactivate them to make them buy again.