We want to create a financial and wealth management diversion platform. The general products are divided into bank wealth management, fund wealth management, insurance and other products. There are some information, communities, points games, etc. in it to promote life.
User behavior analysis is the basis for an app’s operation, promotion, precision marketing, etc. At present, almost all Internet companies’ data sources obtain basic business data through tracking.
User behavior is a series of behaviors performed by users when using a product, including the channel from which the user enters the product, the previous page before each page, the next page after leaving the page, the length of stay on the page, the page Clicks on each button, searches, and the page on which to leave the product, etc.
User behavior can often reflect the user's true thoughts on the product. By monitoring and analyzing user behaviors, we can learn more about users' behaviors and habits, find out the products and content that users like and dislike, make functions closer to users' preferences and habits, and increase users' willingness to use products.
Therefore, our operation needs to put forward the requirements of the buried points we want, and submit them to PM for evaluation and technical realization.
Our core goal is to collect statistics on the source channels of users, usage paths of users, and access conditions of users, so as to facilitate refined operation and promotion.
The source channels of users help us rationally select the optimal promotion channels.
The usage path of users helps us reduce user churn.
The user's visit helps us to understand the user's behavior, optimize products and customize better operation strategies.
Second, the ability to understand data buried points
What is a burial point? Simply put, it is to add some statistical codes to your website/app for data collection (the buried point can be understood as a surveillance camera, recording the prescribed things), all the behaviors of the user in the product will have relevant codes to run, and follow-up Further optimize operations based on data.
Commonly include the number of visits, the number of visits, the number of page views, the bounce rate, and so on. Such information collection can be roughly divided into two types: page statistics and statistical operation behaviors.
There are two mainstream ways of burying points now:
The first one: Inject code statistics into the product developed by your own company, and set up the corresponding background query.
The second: third-party statistical tools, such as
In the initial stage of the project, it is recommended to use third-party tools to reduce the development work. Through statistical codes, we can country email list accurately record the relevant information of users’ corresponding behaviors 4W1H [who (which users), when (time-related), where (page and scene), what ( specific behavior), how (how to do it)], and then think about the Why behind the user's behavior.
1. who: which user
Who is the user participating in the event, that is, the user identity, which is usually identified from the perspective of the person (user ID) and the device (device ID), that is, which user, on which device, participated in the event. event. (Sensitive information such as the user's name, mobile phone number, ID card, etc. is not recommended to be collected directly. If you want to collect it, please take the method of desensitization).