In today's Internet platforms, traffic is king, and traffic and users are Number List everything. If users are just passing by, it is difficult to form a fixed user group in their own products, and it is difficult to form valuable data in user behavior statistics. Therefore, it is very necessary to establish a user system. How to build a dedicated user system?
The most basic thing is to obtain this user by registering and logging in. This module sounds very simple, but behind the functional design, there are still many places that need attention. This article will share with you the underlying logic of login and registration. It is convenient for everyone to refer to when designing products.
1. First of all, let's talk about why there is login and design
1. For users
Safe . Including the user's information security and fund security, when users use a financial product or payment product, we must guarantee the user's fund security, which makes it more secure to use. At the same time, for e-commerce products, it is necessary to ensure that the security of users' private information is not leaked.
permissions . It can be seen as the product's satisfaction of the user's needs. For some products, the permissions obtained by the user are the same. However, for products with a membership system or other user tiers, the functions that can be used are different.
2. For Product Managers
The most important thing is to control security risks. In order to prevent malicious number swiping or other risks, most products require mobile phone number binding. At the same time, ID verification and face verification for financial products are also part of the registration process.
Collecting information: Different products need to collect different information. The more core business, the more information needs to be collected. Usually, information such as address, zip code, etc. can only be collected after the user has logged in and registered.
Big data analysis: It mainly includes product user analysis and user portrait collection. Only after the user logs in can the user's behavioral preferences be obtained, and then the user preferences can be analyzed through big data.