Jun 21, 2022
In Fashion Forum
Just starting to do private domain, how to choose appropriate data analysis indicators, and how to analyze it? This article is shared with you today. In the process of business operation, whether we want to achieve online GMV growth or increase offline sales Whatsapp Database of tens of millions, data analysis is the basis for testing the operation effect and driving the iterative upgrade of operations. The importance of data analysis is self-evident, but Whatsapp Database at the same time high-quality data analysis is a more tedious thing. When we dealt with some customer cases in the past, we found that in the early stage of the Project, it often took a lot of time to grind Whatsapp Database data and optimize operation methods. For example, in just one "adding fans" link, it is necessary to pull out more than a dozen sets of data for comparison, in order to finally select the best adding fans. Why do it Whatsapp Database so finely? Because of the data analysis methods of private domain operation and regular operation, there are certain differences in the underlying logic. Conventional operational data analysis is "transformation logic", and all analysis indicators must be converted into single services for the final. For example, e-commerce operation attaches great importance to the delivery of ROI, sales, conversion rate and other result data. If the ROI can run Whatsapp Database correctly, it can start a large number of delivery. Here, the role of data analytics is to make conversions "the sooner the better." The underlying logic of private domain operation is user-centered "refined Whatsapp Database operation logic". Refinement is reflected in the finer granularity of data analysis. Of course, the ultimate purpose of making a private domain is to convert, but it includes the operation of the user's entire life cycle.