There are multiple dimensions to the division of user groups. The most common is the division method of user life cycle stages. Let us take this example as an example to discuss how to divide user groups and what to do with the Whatsapp Database conclusions of these divisions. The life cycle stems from the fact that with the transformation of users and platforms, users' cognition and behavior will change greatly, and their needs will also change at different life Whatsapp Database cycle stages. If there can only be two types of users, how should we divide the user group? Some friends may say: should be "new users" and "old users".
In fact, for most products, the most important thing we need to judge should be "potential users" and "real users". There is a transformational Whatsapp Database relationship between them: First, we need to identify who are real users. It's pretty simple, they're all Whatsapp Database using the product, and all registered product users can be called real users; it's the easiest way, but when you get to the bottom of it, it varies a lot from product to product; for example,
For many social products Whatsapp Database Said that registration often only represents the first step, when users wander between "potential users" and "real users"; until they complete some operations, it means that they really stay on the platform, and after regular Whatsapp Database behaviors appear, to be considered real users. This is called "Aha monment" in Silicon Valley. For example, Facebook thinks that if a user has 7 friends, he has passed this hurdle and is likely to become a real user. For Facebook, the real use is a user with 7 friends.