Shulou(Shulou.com)06/03 Report--

Number of geeks released the 10th largest user behavior data analysis model-interval analysis

What is interval analysis?

When we analyze user conversion behavior, in addition to using the six conversion rate analysis and promotion models of geeks, we will also pay attention to the time required for users to complete conversion. The geek interval analysis model can grasp the efficiency of user conversion and analyze whether there are problems in user experience through the analysis of the time interval between any two behaviors.

II. Application scenarios of interval analysis?

For example:

The time between the first visit and registration can help us understand the distribution of the time required for the user to register and convert.

Distribution of the time required for users of Internet financial platform to register to complete the first investment behavior.

The distribution of time between the first purchase and the second purchase of e-commerce platform users.

By mastering the above behavior interval time data, we can help us analyze the key behavior interval time of users, further analyze the problems existing in user experience in combination with the six conversion rate improvement models unique to geeks, and shorten the interval time through the optimization of products and marketing strategies, so as to improve the conversion efficiency of users.

How to use interval analysis?

1. Log in to the geek analysis platform: https://a.shujike.com, enter the event analysis-interval analysis function:

interval analysis model

2. Select initial and end events

a. Both the initial and final events can be web browsing, custom events, or visual buried point events.

b. Initial and end events can be filtered.

For example, if you submit an order event, you can select an event with an order amount>100.

c. Initial and end events can be filtered by user attributes.

For example, if you submit an order event, you can select the user level as VIP user.

3. Select View Dimensions

The geek interval analysis model also supports arbitrary dimensional data segmentation.

For example, we can look at the interval between first browsing and registration of users in different channels, so as to analyze whether there is a problem with the interval between customers in different channels, so as to optimize our channel promotion strategy.

4. Analyze interval duration data

a. Time range, number of geek interval analysis models support the selection of arbitrary time ranges.

b. Time granularity, number of geek interval analysis model supports viewing interval data by minute, hour, day, week and month.

c. Subdivision analysis: The geek interval analysis model supports viewing the subdivision interval data according to any dimension. For example, you can view the interval time data of users using iPhone in Beijing.

d. Interval analysis model values: maximum, minimum, per capita, median, through the interpretation of these four types of values can understand the time distribution required for a certain type of user to complete the conversion, and combined with the geek 6 conversion rate promotion model, analyze the user experience problems encountered in the user conversion process, thus shortening the user conversion cycle.

Top 10 data analysis models for geeks:

1. Event analysis

2. active analysis

3. retention analysis

4. funnel analysis

5. user flow

6. intelligent path

7. form analysis

8. heatmap analysis

9. error analysis

10. interval analysis

Welcome to register and experience geek counting.

About Geek Count

Digital Geek is a new generation of big data user behavior analysis and data intelligent platform in China: Digital Geek (www.shujike.com) is the first to support four mixed data acquisition methods: no-buried point, front-end buried point, back-end buried point and API import. It integrates and analyzes user behavior data and business data, and can automatically monitor the promotion effect analysis of websites, APP, Mini programs and other channels. It is an Internet data analysis software necessary for growth **.

It supports ten data analysis methods such as real-time multidimensional analysis, funnel analysis, retention analysis and path analysis, as well as application scenarios such as APP data analysis, website statistics, website analysis, Mini programs data statistics and user portraits. It is the first data analysis product in the field of user behavior analysis to apply quantitative analysis and qualitative analysis methods. The big data analysis system based on user behavior provides two intelligent data application products of member marketing and AB testing at the same time, so that enterprises can quickly improve user conversion rate, Retention rate and operation automation, and realize data-driven growth.

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