Data-driven Operations (ii)

2, &http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; User Behavior Metrics

See figure below:

As shown in the figure: User behavior is divided into the access behavior and purchase behavior, and its corresponding indicators to see.

Here are a few points to note:

1 users can be divided into new and old users of the standard, according to their own characteristics of the site set, there is no uniform definition to strictly distinguish. But you can refer to several indicators, such as registration time, purchase time and purchase frequency.

2 User access behavior analysis is to find new and old users different characteristics of access behavior, to find the problem page or problem products, website information optimization.

3 User purchase Behavior analysis also needs to carefully analyze each step of the page information architecture is a problem and the user out of reach of the page is what, the overall purchase process and steps can be optimized again, thus improving the overall purchase conversion rate. Free statistical software, Google statistical analysis can achieve this statistical function.

4 in the chart does not give a deep analysis of user purchase behavior, for example, new and old users of the shopping characteristics (time, frequency, commodity category, amount, season, etc.), which requires the use of professional statistical software and the establishment of statistical analysis model, here is not discussed, later will be described.

(To be continued)

Previous review: Data-driven operations (i)