Analysis method based on Internet user behaviors

An analysis method and Internet technology, applied in the field of analysis based on Internet user behavior, can solve problems such as the unsatisfactory actual effect of precise marketing, and achieve the effects of fine and precise product planning and marketing, good growth, and improved user experience

Pending Publication Date: 2020-12-29
天元大数据信用管理有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In fact, in the stages of product planning, R&D, promotion, and operation, even though many companies have practiced digital transformation for a long time, the demand for data analysis is becoming more and more refined, but the actual effect of precision marketing is always unsatisfactory.

Method used

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  • Analysis method based on Internet user behaviors

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Embodiment 1

[0041] combined with figure 1 , the present embodiment proposes an analysis method based on Internet user behavior, and its implementation process includes:

[0042] Step 1. Obtain user behavior data sets of Internet products.

[0043] In this step, the user behavior data set involved includes three parts of data sources. The first part of data is user behavior data, which is the trace data in the process of user operation and use of Internet products. The second part is server log data, and the third part is Transaction Transaction data, which is stored in an offline database.

[0044] From a business point of view, the data contained in the user behavior dataset is divided into five dimensions: Who, When, Where, What, and How. Among them, Who refers to the attributes of the person behind the behavior; When refers to when the behavior is triggered; Where Refers to urban area browsers or even GPS; What refers to the content; How refers to how it is done. Based on this, it c...

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Abstract

The invention discloses an analysis method based on Internet user behaviors, and relates to the technical field of data processing, and the implementation process of the method comprises the steps: 1,obtaining a user behavior data set of an Internet product; 2, cleaning data contained in the user behavior data set; 3, constructing an AARRR model, extracting cleaned data features according to service requirements to train the AARRR model, enabling the AARRR model to perform prediction according to training data, and outputting a visual report; and 4, integrating and optimizing a promotion strategy predicted by the AARRR model according to different business requirements of the same product, and completing promotion marketing of the product. According to the invention, possible problems inmarketing, product and business promotion can be found, the application product interaction design is modified, the user experience is improved, finer and more accurate product planning and marketingare realized, and the product is better increased.

Description

technical field [0001] The invention relates to the technical field of data analysis, in particular to an analysis method based on Internet user behavior. Background technique [0002] With the commercialization and widespread deployment of the Internet, in order to provide users with comprehensive and high-quality personalized services, it is necessary to analyze user behavior in the field of Internet applications. User behavior analysis refers to the process of statistics and analysis of relevant data under the condition of obtaining the basic data of website visits. Through the analysis of user behavior, we can discover the laws of users visiting websites, and combine these laws with network marketing strategies, so as to discover the possible problems in the current network marketing activities, and provide a basis for further modification or re-establishment of network marketing strategies. [0003] With the rapid development of Internet technology, mobile phone applic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q30/06G06F16/215G06F16/28G06F16/9535
CPCG06Q30/0202G06Q30/0203G06Q30/0207G06Q30/0214G06Q30/0631G06F16/215G06F16/287G06F16/9535
Inventor 冯亚伟
Owner 天元大数据信用管理有限公司
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