These content cannot bring high-value users who have requirements for content depth and are willing to pay for good content. At present, major manufacturers have begun to pay executive email list attention to their own portrait systems, and have derived more complex growth models from this, and the effect is also very significant. A well-known news APP selects channels with high concentration of high-value users through model algorithms, and selects executive email list in-depth report content or exclusive news to acquire target users.
According to statistics, the contribution of this growth strategy to the overall DAU of the app has increased by more than 10%, achieving the goal of acquiring more effective executive email list users with the same money. Second, the transformation stage: do a good job of user cold start to retain new users The user's preference for using APP has a "prime effect", just like people ordering take-out, which restaurant has good taste, packaging executive email list and service when they first order it, then the probability of ordering take-out in this restaurant will be higher. high. Therefore, how to leave a good impression on new users.
When they first come to the APP and make them like your product is the main battlefield of PK between APP operations. First of all, to understand each new user entering the executive email list APP, this requires the APP to understand the new user portrait as accurately as possible. In the first step, the APP guides the new user to fill in or select basic information, hobbies and other characteristics through the opening screen. However, this information does not represent users. First, it is not objective and accurate, and second, it is far from enough information to generate executive email list user portraits. In the second step, the APP can quickly fill in new user portraits with the help of the capabilities of third-party data companies.