CN112214710A - Operation method for WeChat small program online and offline activities - Google Patents
Operation method for WeChat small program online and offline activities Download PDFInfo
- Publication number
- CN112214710A CN112214710A CN202011151269.1A CN202011151269A CN112214710A CN 112214710 A CN112214710 A CN 112214710A CN 202011151269 A CN202011151269 A CN 202011151269A CN 112214710 A CN112214710 A CN 112214710A
- Authority
- CN
- China
- Prior art keywords
- vermicelli
- user
- small program
- wechat small
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0203—Market surveys; Market polls
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Development Economics (AREA)
- Finance (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Entrepreneurship & Innovation (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- Game Theory and Decision Science (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Economics (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an operation method for the online and offline activities of WeChat small programs, which comprises the following steps: calling a user management interface through the WeChat applet platform account to obtain a vermicelli ID list of the WeChat applet; acquiring behavior data of a user of the WeChat small program platform by using the vermicelli ID list; setting a time axis in a system default setting mode or a user-defined monitoring period selection mode, and analyzing the vermicelli data trend and the page flow trend of the WeChat small program platform in a set time period; visualizing the user data analysis result by taking the time as an abscissa and the research dimension value as an ordinate; and judging the operation quality of the WeChat small program and adjusting the corresponding operation scheme. The invention can continuously track the use state and behavior of the appointed user group, can know the increment of the vermicelli and the change trend of the page flow in real time, and can monitor the activity of the user of the WeChat small program platform more accurately, thereby improving the operation quality, improving the operation efficiency and increasing the viscosity and loyalty of the vermicelli.
Description
Technical Field
The invention relates to the field of operation monitoring, in particular to an operation method for on-line and off-line activities of WeChat small programs.
Background
The internet is changing people's lives, and social software such as WeChat is continuously going deep into the aspects of people's lives. WeChat is a social communication free application facing smart phones and launched in 2011 by Tencent corporation, provides voice, video, picture and text communication functions, and simultaneously provides functions of a public platform, a friend circle, small program message pushing and the like.
The user operation platform is mainly used for checking the change condition of the number of people in the fans, such as the number of people who pay attention newly, the number of people who pay attention net increased, the number of people who pay attention cancelled, the number of people who pay attention accumulated and the like. The platform monitors global users as research objects, cannot track changes of activity of specific user groups in a targeted manner, and lacks finer-grained user management. Because the specific user group cannot be identified, the using state and the behavior of the specific user group cannot be continuously tracked, the vermicelli increment and the page flow change trend cannot be known, the activity of the user of the WeChat small program platform can be accurately monitored, the operation efficiency of the WeChat small program operation platform cannot be guided, the operation quality is improved, and therefore higher value is created for enterprises.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide an operation method for online and offline activities of a wechat applet, which can realize user attribute customization and specific user group identification, continuously track the use state and behavior of a designated user group, know the fan increment and the page flow change trend in real time, and monitor the activity of the user of the wechat applet platform more accurately, aiming at the above defects of the prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows: an operation method for the online and offline activities of the WeChat small program is constructed, and the operation method comprises the following steps:
A) calling a user management interface through the WeChat account to obtain a vermicelli ID list of the WeChat applet;
B) acquiring behavior data of a user on the WeChat small program platform by using the vermicelli ID list; the behavior data of the user comprises user attention time, user subscription state, access page, access frequency and flow expenditure;
C) setting a time axis in a system default setting mode or a user-defined monitoring period selection mode, and analyzing the vermicelli data trend and the page flow trend of the WeChat small program platform in a set time period;
D) taking time as an abscissa and a research dimension value as an ordinate, and visually presenting a user data analysis result; the research dimension values comprise bean vermicelli increment, bean vermicelli decrement, accumulated attention number, bean vermicelli day feedback information number, bean vermicelli feedback information content, bean vermicelli mobile phone number increment, page flow and visit amount;
E) according to the data statistics of the online and offline activities of the presented WeChat small programs, the operation quality of the WeChat small programs is judged every quarter;
F) and adjusting the operation mode of the online and offline activities of the WeChat small program through judging the online and offline activity operation quality of the WeChat small program every quarter.
Preferably, daily activity of the WeChat small programs is collected, the fans are graded, the fans of the WeChat small programs are screened according to the grading, and a batch of specified user groups are screened out to analyze the fan data trend.
Preferably, the analysis of the fan data trend is to calculate fan increment and fan mobile phone number increment through the behavior state that the user pays attention to and cancels the attention of the WeChat small program platform in the set time period; and analyzing the page flow trend, namely presenting the page flow and the access amount by using the access index of the user in the set time period.
The implementation of the operation method for the online and offline activities of the WeChat small program has the following beneficial effects: the user management interface is called through the WeChat applet platform account number to obtain a vermicelli ID list of the WeChat applet; acquiring behavior data of a user on the WeChat applet platform by using the vermicelli ID list; analyzing the vermicelli data trend and the page flow trend of the WeChat small program platform in a set time period by setting a time axis; finally, taking the time as an abscissa and the research dimension value as an ordinate, and visually presenting the user data analysis result; compared with the conventional platform, the method can continuously track the use state and the behavior of the designated user group, can know the fan increment and the page flow change trend in real time, and can monitor the activity of the user of the WeChat small program platform more accurately. Through assessing the online and offline activities of the WeChat small program, the operation quality is improved, the operation efficiency is improved, and the viscosity and loyalty of the vermicelli are increased.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the embodiment of the operation method for the online and offline activities of the wechat applet, the operation method for the online and offline activities of the wechat applet comprises the following steps:
step S01, calling a user management interface through the WeChat applet platform account to obtain a WeChat applet vermicelli ID list: in the step, a user management interface is called through the WeChat applet platform account to obtain a vermicelli ID list of the WeChat applet.
Step S02, acquiring the behavior data of the user on the WeChat applet platform by using the vermicelli ID list: in the step, behavior data of the user on the WeChat small program platform is obtained by using the vermicelli ID list, and the behavior data of the user comprises user attention time, user subscription state, access page, access frequency, flow expenditure and the like.
Step S03, setting a time axis by a default setting mode of the system or a mode of selecting a custom monitoring period, and analyzing the bean vermicelli data trend and the page flow trend of the WeChat small program platform in a set time period: the method mainly comprises the steps of analyzing user behavior data, specifically, in the step, setting a time axis in a system default setting mode or a mode of selecting a custom monitoring period, and analyzing a vermicelli data trend and a page flow trend of the wechat applet platform in a set time period (in a set time period). The monitoring period set by the default setting mode of the system is about 30 days or last 30 days, and in practical application, the monitoring period set by the default setting mode of the system can be correspondingly adjusted according to specific needs.
In the method, daily activity of the WeChat small program is collected, the vermicelli is graded, vermicelli of the WeChat small program is screened according to grading, a group of specified user groups are screened out to analyze the vermicelli data trend, and the vermicelli data trend is analyzed by calculating the increment of the vermicelli, the decrement of the vermicelli, the accumulated attention number, the daily feedback information number of the vermicelli, the feedback information content of the vermicelli and the number increment of a vermicelli mobile phone number through the behavior states that the user pays attention to and cancels the attention of the WeChat small program platform in the set time period; and analyzing the page flow trend, namely presenting the page flow and the access amount by using the access index of the user in the set time period.
Step S04, taking time as an abscissa and a research dimension value as an ordinate, and presenting an analysis result of user data through a coordinate structure in a visualized manner; the research dimension values comprise bean vermicelli increment, bean vermicelli decrement, accumulated attention number, bean vermicelli day feedback information number, bean vermicelli feedback information content, bean vermicelli mobile phone number increment, page flow and access.
Step S05 determines the operating quality of the wechat applet every quarter for the presented data statistics of the online and offline activities of the wechat applet.
Step S06 is to adjust the operating mode of the online/offline activity of the wechat applet in a targeted manner by judging the operating quality of the online/offline activity of the wechat applet every quarter.
Compared with the conventional platform, the method disclosed by the invention can continuously track the use state and the behavior of the designated user group, can know the increment of the vermicelli and the change trend of the page flow in real time, and can monitor the activity of the user of the WeChat small program platform more accurately, thereby improving the operation quality, improving the operation efficiency and increasing the viscosity and loyalty of the vermicelli.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (3)
1. An operation method for the online and offline activities of WeChat applets is characterized by comprising the following steps:
A) calling a user management interface through the WeChat account to obtain a vermicelli ID list of the WeChat applet;
B) acquiring behavior data of a user on the WeChat small program platform by using the vermicelli ID list; the behavior data of the user comprises user attention time, user subscription state, access page, access frequency and flow expenditure;
C) setting a time axis in a system default setting mode or a user-defined monitoring period selection mode, and analyzing the vermicelli data trend and the page flow trend of the WeChat small program platform in a set time period;
D) taking time as an abscissa and a research dimension value as an ordinate, and visually presenting a user data analysis result; the research dimension values comprise vermicelli increment, vermicelli decrement, accumulated attention number vermicelli, vermicelli day feedback information, vermicelli feedback information content, vermicelli mobile phone number increment, page flow and visit amount;
E) according to the data statistics of the online and offline activities of the presented WeChat small programs, the operation quality of the WeChat small programs is judged every quarter;
F) and adjusting the operation mode of the online and offline activities of the WeChat small program through judging the online and offline activity operation quality of the WeChat small program every quarter.
2. The method of claim 1, wherein daily activity of the WeChat applet is collected, fan-lets are ranked, fan-lets of the WeChat applet are screened according to the ranking, and a group of designated user groups are screened.
3. The operation method for the on-line and off-line activities of the WeChat applet according to claim 1, wherein the analysis of the trend of the vermicelli data is to calculate vermicelli increment and vermicelli mobile phone number increment through the behavior state that a user pays attention to and cancels the attention of the WeChat applet platform in the set time period; and analyzing the page flow trend, namely presenting the page flow and the access amount by using the access index of the user in the set time period.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011151269.1A CN112214710A (en) | 2020-10-25 | 2020-10-25 | Operation method for WeChat small program online and offline activities |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011151269.1A CN112214710A (en) | 2020-10-25 | 2020-10-25 | Operation method for WeChat small program online and offline activities |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112214710A true CN112214710A (en) | 2021-01-12 |
Family
ID=74055123
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011151269.1A Withdrawn CN112214710A (en) | 2020-10-25 | 2020-10-25 | Operation method for WeChat small program online and offline activities |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112214710A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115345659A (en) * | 2022-08-12 | 2022-11-15 | 武汉抖量文化传媒有限公司 | Private domain flow monitoring, analyzing and processing method, system and storage medium |
-
2020
- 2020-10-25 CN CN202011151269.1A patent/CN112214710A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115345659A (en) * | 2022-08-12 | 2022-11-15 | 武汉抖量文化传媒有限公司 | Private domain flow monitoring, analyzing and processing method, system and storage medium |
| CN115345659B (en) * | 2022-08-12 | 2024-03-01 | 武汉抖量文化传媒有限公司 | Private domain flow monitoring, analyzing and processing method, system and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113543178B (en) | Service optimization method, device, equipment and storage medium based on user perception | |
| US7551922B2 (en) | Rule based data collection and management in a wireless communications network | |
| US10909554B2 (en) | Analyzing big data to determine a data plan | |
| US20160224987A1 (en) | Customer activity score | |
| US8488772B2 (en) | Grouping of contact center agents | |
| US20060007870A1 (en) | Collection of data at target wireless devices using data collection profiles | |
| US20110106942A1 (en) | Data collection associated with components and services of a wireless communication network | |
| JP2018536956A (en) | Method, device and storage medium for preventing illegal acts related to advertisement | |
| US20110282943A1 (en) | Systems and methods for determining value of social media pages | |
| GB2512300A (en) | Electronic arrangement and related method for dynamic resource management | |
| CA2863781A1 (en) | Mobile application daily user engagement scores and user profiles | |
| EP1803230A2 (en) | Rule based data collection and management in a wireless communications network | |
| WO2007005030A2 (en) | Rule based data collection and management in a wireless communications network | |
| CN108960505A (en) | Quantitative estimation method, device, system and the storage medium of personal finance credit | |
| de Reuver et al. | Smartphone measurement: Do people use mobile applications as they say they do? | |
| US20110106579A1 (en) | System and Method of Management and Reduction of Subscriber Churn in Telecommunications Networks | |
| CN104935563A (en) | Method and device for managing a conference | |
| CN112214710A (en) | Operation method for WeChat small program online and offline activities | |
| CN105405026A (en) | Customized mobile phone determination method based on user behavior and apparatus thereof | |
| Modani et al. | Cdr analysis based telco churn prediction and customer behavior insights: A case study | |
| KR20210056989A (en) | Method and system of automating marketing | |
| CN110659979A (en) | Method and apparatus for predicting loss rate of default, storage medium, and electronic device | |
| Bao et al. | Commsense: Identify social relationship with phone contacts via mining communications | |
| CN112214711A (en) | Monitoring method of WeChat small program activity operation platform | |
| Dwarakanath et al. | Analyzing the influence of instant messaging on user relationship estimation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20210112 |