This book starts from describing the methods of data analysis, explains in depth how to play data operations, and refines the methods of user growth, so that readers can not only systematically learn data analysis skills, but also master the use of common data operation tools, and understand the top-level strategic thinking of user growth.
This book has a total of 9 chapters, covering the main contents: data analysis methods, including data cleaning and preprocessing, descriptive statistics, change analysis, indicator system, correlation analysis, trend prediction, B-O value model, etc. The principles, scenarios and implementation; data operation gameplay, including scenario operation model, product life cycle model, user life cycle model , as well as the principles and strategies of operational tools such as startup screen, homepage and home page, search area, carousel area, King Kong area, floors and pits, version iteration, funnel analysis/path analysis, member/rights system, check-in/check-in, coupons and cross-marketing; user growth methods, including the principles and usage of the S-C-I model and 3A3R model.
The content of this book is easy to understand, rich in cases, and highly practical. It is especially suitable for readers who are engaged in Internet data analysis, data operations, and user growth. It is also suitable for readers who are engaged in product marketing and marketing in traditional industries. In addition, this book can also be used as a reference book to read at any time.
Reader comments
For example, I can apply the coupons and cross-marketing mentioned in the book to my daily shopping and save a lot of money. Moreover, the content of this book is easy to understand and has many cases. It is very suitable for people like us who have no foundation in data analysis to read. I feel that both people who are engaged in Internet-related work and housewives like me can benefit from it.
For example, I can apply the coupons and cross-marketing mentioned in the book to my daily shopping and save a lot of money. Moreover, the content of this book is easy to understand and has many cases. It is very suitable for people like us who have no foundation in data analysis to read. I feel that both people who are engaged in Internet-related work and housewives like me can benefit from it.