Product operators are inseparable from the email list support of data, and need to find their own shortcomings in operations through data investigation and analysis, so as to operate better in the future. With the development of the Internet, the operation of enterprise products is gradually refined, which means that we have higher requirements for data operation. The author starts from the three aspects of the basic process of data operation, user data and competitor data, and summarizes how to do a good job in data operation.
With the development and changes of the Internet, media, users, and the market, the operation of enterprise products has gradually changed from extensive to email list refined, so as to maximize the efficiency of advertising. The advantage of data analysis is that it can track the characteristics of target user groups or individuals, analyze the characteristics and habits of users in a certain period of time, and provide users with exclusive services. Data operation is not a slogan, but an actual process, which is mainly divided into the following four steps. 1.
Data collection Data collection is the first step in product data analysis and the basis of the entire data operation. Data collection accompanies the whole process of product operation, whether it is the primary stage or the intermediate stage, whether it is testing or evaluation, data collection must be used. Product operation is user-centric, and the focus of data collection is to collect user demand data. The data collection methods mainly include the same-volume survey, user interviews, questionnaires, and data tools.