User flow drainage method based on private domain space login data

Abstract

The invention relates to the technical field of electronic commerce. The invention aims to provide a user flow drainage method based on private domain space login data. The method comprises the following steps: S1, constructing a database; s2, user authorization; s3, log-in trace analysis is carried out; s4, blind box camouflage; and S5, importing the private domain. Based on the WeChat platform, through WeChat applet login trace analysis and prediction of applet use preferences of the users, in combination with a blind box mode loved by current young consumer groups, accurate drainage of user streams is realized, and the method is a brand new commercial drainage method.

Description

Technical Field

[0001] The present invention relates to the technical field of e-commerce, and particularly relates to a user flow drainage method based on private domain space login data. Background Art

[0002] In recent years, affected by the overall economic environment, consumer behavior has shown new changes, and online transactions have become an important part of daily life. More and more enterprises have gradually realized that building their own private domain traffic has become an extremely important marketing method. The WeChat platform, as a national-level application software and a continuously developing and mature WeChat ecosystem, provides a good foundation for private domain traffic and rich and diverse user touchpoints and conversion channels for ecosystem participants.

[0003] As one of the many ecological forms of the WeChat platform, the WeChat mini-program is developed by third-party merchants and connected to the WeChat interface to achieve quick login of WeChat users on the third-party platform. It is an excellent traffic transfer method with the WeChat platform as an intermediate carrier and has been extremely widely used on the WeChat platform. Among the user login actions of many third-party mini-programs, there are not only direct information such as consumers' login preferences, but also potential login information such as login time periods and login frequencies. However, at present, there is no user flow drainage method for WeChat mini-program user login data, making this high-quality user flow resource unable to be truly developed and utilized. Summary of the Invention

[0004] The purpose of the present invention is to provide a user flow drainage method based on private domain space login data, which can obtain consumers' preference information by analyzing and processing WeChat mini-program login data of consumers, and achieve precise docking and drainage recommendation with merchants.

[0005] To achieve the above-mentioned invention purpose, the technical solution adopted by the present invention is: a user flow drainage method based on private domain space login data, including the following steps:

[0006] S1. Database construction: Construct a drainage target feature library with mini-program information of customer acquisition merchants receiving drainage, and a comparison target feature library with existing mini-program information;

[0007] S2. User authorization: Establish contact with users through the "program blind box", guide users to add the "program blind box" to the WeChat mini-program list, and sign a third-party information sharing authorization agreement on the WeChat platform to ensure that the "program blind box" can obtain the mini-program login traces of this user on the WeChat platform;

[0008] S3. Login Trace Analysis: Process and analyze the user's mini-program login traces in combination with the comparison target feature library to obtain a user portrait; match the user portrait in the drainage target feature library to find the mini-programs of customer acquisition merchants from the drainage target feature library.

[0009] S4. Blind Box Disguise: Connect the mini-program entrance of the customer acquisition merchant to the "Program Blind Box".

[0010] S5. Private Domain Import: When the user opens the "Program Blind Box", they directly enter the mini-program of the customer acquisition merchant through the entrance; it is transformed into the private domain user flow of the customer acquisition merchant.

[0011] Preferably, in step S1, the drainage target feature library is deployed locally, and the comparison target feature library is deployed in the cloud.

[0012] Preferably, in step S3, the user's mini-program login traces are transmitted back to the cloud server through the "Program Blind Box", and the cloud server performs data processing and analysis to obtain a user portrait; the cloud server transmits the user portrait back to the "Program Blind Box", and the "Program Blind Box" searches for the mini-programs of customer acquisition merchants in the drainage target feature library for matching.

[0013] Preferably, in step S1, the drainage target feature library and the comparison target feature library at least include: merchant name, program name, program classification, and user satisfaction.

[0014] Preferably, in step S2, the obtained user login traces at least include merchant name, program name, program classification, login time, and login duration.

[0015] Preferably, in step S1, when establishing contact with the user, it is achieved through one or more of WeChat official accounts, third-party web page advertisements, and third-party mini-program advertisements.

[0016] The beneficial effects of the present invention are concentrated in: Based on the WeChat platform, analyze and predict the user's mini-program usage preferences through WeChat mini-program login traces, and combine the "blind box mode" loved by the current young consumer group to achieve precise drainage of the user flow, which is a brand-new commercial drainage method. Obtain an accurate user portrait through the user's own login traces, ensuring a high matching degree with the merchant mini-programs recommended by the blind box. The "Program Blind Box" mode greatly satisfies the curiosity of young people, ensures the satisfaction of all parties involved, ensures the effectiveness of private domain traffic conversion, and is a brand-new way of private domain traffic drainage in the online economy. Brief Description of the Drawings

[0017] Figure 1 It is a schematic diagram of the method steps of the present invention. Detailed Embodiments

[0018] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments. It should be noted here that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation to the present invention. The specific structural and functional details disclosed herein are only used to describe the exemplary embodiments of the present invention. However, the present invention can be embodied in many alternative forms and should not be construed as limited to the embodiments described herein.

[0019] Specific details are provided in the following description to facilitate a complete understanding of the exemplary embodiments. However, those of ordinary skill in the art should understand that the exemplary embodiments can be implemented without these specific details. For example, a system can be shown in a block diagram to avoid obscuring the example with unnecessary details. In other embodiments, well-known processes, structures, and technologies can be shown without unnecessary details to avoid obscuring the exemplary embodiments.

[0020] Combined with Figure 1 As shown, the present invention is a user flow drainage method based on private domain space login data, which is designed based on the WeChat platform and realizes precise drainage of the user flow based on the user's WeChat mini-program login traces.

[0021] Specifically, the present invention includes the following steps:

[0022] S1. Database construction: Construct a drainage target feature library with the mini-program information of the customer acquisition merchants receiving drainage, and a comparison target feature library with the existing mini-program information; the drainage target feature library and the comparison target feature library at least include: merchant name, which is the full industrial and commercial name of all enterprises corresponding to the mini-program; program name; program classification, such as: tourism, shopping, ordering food, etc. By subdividing the features of the program classification, the accurate labeling of the program attributes can be ensured; user satisfaction, which is usually obtained by analyzing the comprehensive score of the user after using the corresponding mini-program, or can directly capture the score of the program in the application store for invocation. The drainage target feature library is preferably deployed locally to enable quick response and matching, and the comparison target feature library is deployed in the cloud to more accurately realize the real-time update of the comparison target feature library.

[0023] S2. User authorization: The "program blind box" described in the present invention is also a WeChat mini-program. Establish contact with the user through the "program blind box", for example: promote the program blind box through one or a combination of methods such as WeChat official accounts, third-party web page advertisements, third-party mini-program advertisements, etc., and guide the user to add the "program blind box" to the WeChat mini-program list; and before use, sign a third-party information sharing authorization agreement on the WeChat platform to ensure that the "program blind box" can obtain the user's mini-program login traces on the WeChat platform; and ensure the legality of the acquired data.

[0024] S3. Login Trace Analysis: Process and analyze the user's mini-program login traces in combination with the comparison target feature library. The obtained user login traces at least include merchant name, program name, program category, login time, login duration, etc. The login time directly reflects the specific time when the user uses the mini-program, and the login duration directly reflects the duration when the user uses the mini-program. In addition, login frequency, etc. can be added as important indicators. Based on this, a user portrait is obtained. The user's mini-program login traces are transmitted back to the cloud server through the "program blind box", and the cloud server performs data processing and analysis to obtain the user portrait, and the cloud server transmits the user portrait back to the "program blind box"; the "program blind box" matches the user portrait in the drainage target feature library to find the mini-programs of customer-acquiring merchants from the drainage target feature library.

[0025] S4. Blind Box Disguise: Connect the mini-program entrance of the customer-acquiring merchant to the "program blind box";

[0026] S5. Private Domain Import: When the user opens the "program blind box", they directly enter the mini-program of the customer-acquiring merchant through the entrance; and are converted into the private domain user flow of the customer-acquiring merchant.

[0027] Based on the WeChat platform, the present invention analyzes and predicts the user's mini-program usage preferences through WeChat mini-program login traces, and combines the "blind box mode" favored by the current young consumer group to achieve precise drainage of the user flow, which is a brand-new commercial drainage method. By obtaining an accurate user portrait through the user's own login traces, it ensures a high matching degree with the merchant mini-program recommended by the blind box. The "program blind box" mode greatly satisfies the curiosity of young people, ensures the satisfaction of all parties involved, ensures the effectiveness of private domain traffic conversion, and is a brand-new way of private domain traffic drainage in the online economy.

Claims

1. A user flow drainage method based on private domain space login data, characterized in that, It includes the following steps: S1. Database construction: Construct a drainage target feature library with the mini-program information of customer-acquiring merchants that receive drainage, and a comparison target feature library with existing mini-program information; S2. User authorization: Establish contact with the user through the "program blind box", guide the user to add the "program blind box" to the WeChat mini-program list, and sign a third-party information sharing authorization agreement on the WeChat platform to ensure that the "program blind box" can obtain the user's mini-program login traces on the WeChat platform; S3. Login trace analysis: Process and analyze the user's mini-program login traces in combination with the comparison target feature library to obtain a user portrait; Match the user portrait in the drainage target feature library and search for the mini-programs of customer-acquiring merchants in the drainage target feature library; S4. Blind box disguise: Connect the mini-program entrance of the customer-acquiring merchant to the "program blind box"; S5. Private domain import: When the user opens the "program blind box", directly enter the mini-program of the customer-acquiring merchant through the entrance; convert it into the private domain user flow of the customer-acquiring merchant.

2. The user flow drainage method based on private domain space login data according to claim 1, characterized in that: In step S1, the drainage target feature library is deployed locally, and the comparison target feature library is deployed in the cloud.

3. The user flow drainage method based on the private domain space login data according to claim 2, wherein: In step S3, the user's mini-program login traces are transmitted back to the cloud server through the "program blind box", and the cloud server performs data processing and analysis to obtain a user portrait; the cloud server transmits the user portrait back to the "program blind box", and the "program blind box" searches for and matches the mini-programs of customer-acquiring merchants in the drainage target feature library.

4. The user flow drainage method based on private domain space login data according to claim 3, wherein: In step S1, the drainage target feature library and the comparison target feature library at least include: merchant name, program name, program classification, user satisfaction.

5. The user flow drainage method based on the private domain space login data according to claim 4, characterized in that: In step S2, the obtained user login traces at least include merchant name, program name, program classification, login time, and login duration.

6. The user flow drainage method based on private domain space login data according to claim 5, characterized in that: In step S1, when establishing contact with the user, it is implemented through one or more of WeChat official accounts, third-party web page advertisements, and third-party mini-program advertisements.

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