With the vigorous development of Internet e-commerce in recent years, the bulk sms service requirements for operation have increased accordingly. When interviewing for operation positions, questions related to data operation analysis are often asked, but the answers are often disappointing. less than the core indicators. This kind of scenario also occurs bulk sms service frequently in product and operation work. Imagine that when a leader asks "what is the reason for the recent decline in sales", "why is the conversion rate down?" How would you respond? It can be seen that the importance of data analysis thinking, in the future operations with product thinking and data analysis capabilities, can gain more space and create higher value.
Many friends around me are worried about bulk sms service how to improve their data analysis ability. To be honest, EXCEL data processing skills, visual charts, these tools are easy to learn and use, but the difficulty is to raise a problem, how to find a solution to this problem through data , the key lies in data analysis thinking. There are many ways of thinking. After years of accumulation of operational work, I personally think that three types of thinking are the bulk sms service most commonly used: subdivision thinking, comparative thinking, and related thinking . Many other thinking models are mostly derived from the comprehensive application of these three types of thinking. of. In the operation work,
The application of the cross-division of the bulk sms service two dimensions, such as the study of the difference in the demand of new and old customers for categories, is the cross analysis of the new and old customers of dimension 1 and each category of dimension 2 3. Cross-segmentation of multiple dimensions Multi-dimensional cross-segmentation is bulk sms service relatively complex. The main application scenarios are more user operations and user research and analysis, such as RFM model, through the three most recent consumption (Recency), consumption frequency (Frequency), consumption amount (Monetary) Dimension, each dimension is divided into two, and the user group is divided into eight small groups for targeted operations.