Further, through the mark of session (Session), we business email list can connect multiple buried points and track multiple consecutive pages, so as to know the user's page access path and behavior characteristics, and conduct funnel analysis of various dimensions to support product improvement and optimization. .
The data collected by the buried point is often used to analyze the usage of the product, user behavior preferences, etc., the user's decision-making path, and the user's attention distribution, so data products such as user portraits and user recommendation systems are extended.
Generally speaking, after the product manager has sorted out the data requirements, after development and test review, the buried requirements are handed over to R&D for realization, and the follow-up product manager can complete the acceptance.
3. Data analysis
The purpose of data analysis is to dig out the information behind some seemingly disorganized data and extract the internal laws of the target object. For enterprises, the essence of data analysis is to create business value and drive business growth.
Four methods are mainly introduced here: AARRR model, funnel analysis, retention analysis, and channel analysis.
The AARRR model is the pirate model and a classic model for user analysis. It reflects growth throughout the various stages of the user life cycle, namely Acquisition, Activation, Retention, Revenue, and Referral.
Operators promote through various channels, acquire target users by various means, evaluate the effects of various marketing channels, and constantly adjust operational strategies to continuously reduce customer acquisition costs. For example, Baidu's SEO, app's aso, etc.