A few days ago, a friend who started a business came to me. He now has hundreds of thousands of members, and he wants to produce content on self-media platforms. I was shocked when I heard the news. This is simply "begging with a golden bowl in hand". You know, if all these hundreds of thousands of members are "activated", the effect will be more powerful than doing self-media for ten years.
So I suggested that he build a membership system to analyze member behaviors. At this point, many people who do online marketing may say, I also have member statistics? In fact, most people still use tables to count members, but this form is just statistics and cannot generate income for members.
So how do we set up a membership system that can be quickly monetized?
The simplest way is to establish an enterprise service account in the name of the enterprise. The key point here is that the service account must be distinguished from the subscription account. If you want to build a mall, you cannot build a subscription account without authentication. Secondly, the service account can be displayed as a separate dialogue window in the chat list, while the subscription account can only be displayed in the subscription account list, which is easy to be overlooked by friends who do not check it often.
Data analysis
After setting up the service account, you need to start collecting member information. You can allow users to join as members and register their member information while selling. At this time, the role of the membership system can be reflected, mainly in
Increase user stickiness
Deepen brand impression
After building the membership system, you can analyze the data from the background to develop an online marketing strategy. When analyzing the data, you can follow the following focuses:
Repurchase cycle: This type of data can provide a basis for future event planning. By understanding the members' repurchase cycle, you will know when to launch marketing activities that will be effective.
Purchase preferences: This type of data can help you determine which products are more popular and which are not selling well, so that you can adjust your categories.
Purchase categories: This type of data can help you analyze customer behavior. After analysis, you can make appropriate sales combinations to improve performance.
Increase user stickiness
Members can be roughly divided into: loyal customers, active customers, silent customers, and abyss customers. You can update the content of the service account regularly. The service account can be connected to the mall to make it more convenient for loyal customers to consume. Every time you post a piece of content and get a click, you will add an active user.