Based on his own work needs, the author of this article makes a simple comparative analysis of the membership systems of Fan Deng Reading Club and Chaos University, and shares them with you. 1. Purpose of Analysis To launch the membership function, understand what the mainstream paid knowledge membership system is and how to promote it. 2. Product introduction 3. Comparison of member rights and interests 4. Open membership process It can be seen that the entrance of Fan Deng Reading Club and Chaos University's membership is similar, and the entrance is divided into three categories: advertising, friend recommendation, and behavior interruption. Regarding the behavioral interruption category, it must be when the user has experienced the value of the product and has the urge to continue,
to guide the user to purchase a membership, so that the conversion rate will be high. In terms of the process from understanding membership to successfully applying for membership, Chaos University has one more introduction page than Fan Deng Reading phone number list Club. Open page comparison: V. Comparison of promotion methods From the above table, it can be seen that Fan Deng Reading Club's operation and promotion model is relatively heavy. Chaos University's online promotion is more based on word-of-mouth promotion. Fan Deng's target users are all those who want to read. The user base is extensive. Offline agents can quickly expand channels and occupy the market.
They can also reach users in fourth-, fifth-, and sixth-tier cities by recruiting agents. Users in first- and second-tier cities can choose from many types of knowledge learning products, and generally do not accept agency recommendations, while fourth- and fifth-tier cities are still blue oceans in the field of knowledge payment, and they pay more attention to friend recommendations, so they can quickly knock on the door through the agency model. The target users of Chaos are professionals or entrepreneurs who want to improve their innovation capabilities. Most of them are in first- and second-tier cities, and they are more vertical, which is not suitable for the agency model. By the way,