February 28, 2012 
Site data analysis, time is one of the most common and indispensable dimension is used to limit the scope and granularity of the index statistics, in most cases, the time factor also caused some statistical rules and details of the indicators impact in some of the data analysis, we can easily ignore the factors of time, these effects may be misleading to the ultimate conclusion. Aware of this problem is a demand for data extraction, the site every day to release a lot of new content, new content recommendation, or will be buried, so many sites will have a "recommended" class module, This data needs is ...... »Read more: have to consider the time factor December 8, 2011
From the level of the site's users, according to the characteristics of the behavior of users to access the user is subdivided into various types, because different user behavior, the behavior of different statistical indicators, analysis of the different point of view, so if the user to do the subdivision, from many ways, various classifications according to various rules, and seen some of the data analysis of the various user segments, the analysis of a variety of user behavior, combined with a variety of other dimensions, looks absolutely rich enough but it is difficult to understand these results in the end is to explain what the problem, perhaps as an advisory report to reflect the current overall trend and the use of ... »Read more: comparative analysis based on user segments March 28, 2011 
The most recently asked some users of statistical indicators, whether it is the decision-making departments, so this article focuses on some of the content that the user index. Suppose you want to concise data about the users of a site or product, you will be asked which user data? In fact a clever question is never how much of the cumulative number of users of the Q site, even the site of UV will not ask how much, because these indicators are not from the real meaning up to reflect the value of the site and development. Give a simple example - network Qin, the cumulative number of users should be no less than 10 million, but the figure is really able to reflect ... »Read more: it is of concern to user indicators August 8, 2010 
Website user management goal is to discover new users, retain the old user. But only to attract new users, new users need to keep active, so that it can lasting and create value for the site; Once the user's active decline is likely the user will gradually away from the site, and thus the loss. Based on this, we can user another subdivision - active users and the loss of users. Active active user of the user and the loss of users, as opposed to a concept of the "lost users" are those "survival" user, the user will from time to time to visit the next site, as well as the site ... »Read more: the active users of the site and the loss of user July 25, 2010 
New and old users of the site has become a site analysis for a class of user segmentation methods, site analysis is an important component of the user analysis. Google Analytics on the naming of the new and old customers for the New Visitors and Returning Visitors, but also for many analysis indicators based on the breakdown of the old and new users. Simply put, new user is the user's first visit to the site or the first use of the website services; old users previously visited the web site or use the web service user. Both old and new users can bring value for the site, which also ... »Read more: website new and old customers April 21, 2010 
Recently updated article Avinash Kaushik's blog - the Calculate the Customer the Lifetime Value, which is very detailed exposition of what is the lifetime value of the site users (Lifetime Value, the LTV for short), and why you want to use this indicator in LTV. Elaborated in the SEM and website promotion process should not only focus on the first visit (Visit) conversion rate (the Conversion Rates) and CPA (Cost Per Acquisition) of these indicators to calculate the user in the entire cycle of the site to create The total value of more meaningful, user lifetime value for measuring the site ... »Read more: the value of the life cycle of Web site users April 11, 2010 
The previous two articles describes the analysis of customer loyalty based on click-stream data for all sites and used in e-commerce website user analysis, and intuitive radar chart can show the user in various indicators of performance, we can The area surrounded by the radar map graphics to simply evaluate the value of a user. We may have this question, when each index is weight (such as e-commerce sites may pay more attention to the number of users to complete orders or volume of transactions in the period of time), in this case how to evaluate integrated value of the user? If ...... »Read more: user value rating system March 31, 2010 
Before an article is mainly based on user click-stream data analysis, suitable for all sites, and for some special website can be extended or custom fit according to its characteristics of indicators based on the analysis of indicators of the data itself can be obtained, here introduces the user analysis method is suitable for e-commerce site. From potential customers purchasing behavior in e-commerce website has become a site-value customers. E-commerce sites usually stored in the user's transaction information, including the purchase of purchase of goods, purchase quantity, the amount paid since ... »Read more: e-commerce website users March 28, 2010 
Loyal customers can not only create lasting value for the site is also the site an important channel for brand reputation to promote, so the current site of loyal users pay more attention to. The user may be many sites or web analytics tool division of the "New User" and "returning visitors", but simply to distinguish between old and new users is not enough, we need a more comprehensive indicator to measure the loyalty of users of the Site. User loyalty (the Loyalty), refers to the user for the extent of repeat purchase of the business or brand preferences and recurrent. For the site, customer loyalty is the user function or preferences for the site and by ... »Read more: the user loyalty February 24, 2010 
According to the study of Arthur Hughes, the American Institute of database marketing, customer database, there are three magic elements of these three elements constitute the data analysis, the best indicator: last consumption (Recency) consumption frequency (Frequency) the amount of consumption (English Language Word or Term Chinese Language Word or Term) the RFM analysis originally used for traditional marketing, retailing and other fields, applicable to a variety of consumer goods or fast moving consumer goods industry, as long as the consumption of any data record can be used to analyze. Then for e-commerce site, detailed information about the transactions recorded in the site database, the same can be applied RFM Analysis mold ... »Read more: e-commerce website RFM Analysis 
