With so much data, how to get key indicators?
When more and more data are collected, it is easy to "get lost in data". When faced with a large number of PV, UV and other visual values, it is possible to find no key indicators that can promote business growth. Although the indicators of each company and department are different, the following two methods can still be used to extract key indicators.
Set user behavior
Set (Home→Column A→Participate→Download) similar user behaviors as conversion paths, and count the number of users who have achieved conversions within the period. Not only analyze traffic, but also analyze users in depth.
Set up key indicator portfolio
A good data indicator must be easy to understand, and it is a ratio or even a combination.
In addition to data, you also b2b data need to understand the funnel principle
From the above funnel flow (pyramid) graph, analyze the churn rate of each layer of the funnel to quickly find the problem. For example, if the activity is low, it may be a problem with the channel. By analogy, finding the superior of the data can quickly solve the problem.
Flow is bottom-up, and validation is top-down.
Data validation analysis? How to get started
Metric: Refers to a quantified value. Usually have a name, such as the number of page views, page views, and so on. Generally, we will call it "metrics", but you need to know that there are still some differences between metrics and metrics. For example, in some cases, they will use metrics to refer to some calculated metrics, such as metric A (the total number of website visits) , divided by metric B (the total number of website visitors) to get a new indicator (the number of website visits per capita) to measure website stickiness. But in fact the two can be used in general.
Dimension: Refers to the angle from which we see things. For example, the number of website visits (PV), we can look at it from the perspective of date, or from the source of traffic (from direct access, from Weibo, from search, etc.), or from the group of new and old users. . More scenes are seen in a combination of both dimensions at the same time.
How to distinguish them?
A dimension must have member values, and the member values can be enumerated - no matter how many there are, it must be enumerable and will maintain a certain stability.
For example, in the dimension of date, the number of months and numbers must be limited, and there are 365 days in a year. If it is the dimension of year, the same is true. The dimension of the city is better understood.
be more specific
Metrics: In addition to the slightly different common name of indicators, the term derivative indicator is sometimes encountered. For example, the indicator C obtained by the operation of indicator A and indicator B is called a derivative indicator. In addition, pay attention to accumulative and non-accumulative metrics, such as website UV (number of unique visitors). This indicator is a typical non-accumulative metric: a website has UV=100 on January 1, and UV on January 2. = 200, but the UVs of these two days are not equal to 300, because the number of independent users on January 2 may include users on January 1, so if you want to get the UVs for 2 days, you need to recalculate instead of directly add up.