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CN117852750A - Operation method and equipment for large-scale users based on multiple enterprise WeChat bodies - Google Patents

Operation method and equipment for large-scale users based on multiple enterprise WeChat bodies Download PDF

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Publication number
CN117852750A
CN117852750A CN202311815801.9A CN202311815801A CN117852750A CN 117852750 A CN117852750 A CN 117852750A CN 202311815801 A CN202311815801 A CN 202311815801A CN 117852750 A CN117852750 A CN 117852750A
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message
sent
clients
information
behavior data
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梁彩云
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Jiangsu Mengjia Holding Group Co ltd
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Jiangsu Mengjia Holding Group Co ltd
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/10—Text processing
    • G06F40/166—Editing, e.g. inserting or deleting
    • G06F40/186—Templates
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06Q10/00—Administration; Management
    • G06Q10/20—Administration of product repair or maintenance
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/01—Social networking

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Abstract

The invention discloses an operation method and equipment for large-scale users based on a plurality of enterprise WeChat main bodies, comprising the following steps: collecting and storing basic information and behavior data of clients; classifying the clients according to the basic information and behavior data of the clients, and giving corresponding labels; according to different scene demands, designing a plurality of message templates with different categories; when operation is needed, screening a target client of the message to be sent, and selecting a corresponding message template according to specific scene requirements and basic information of the target client to form the message to be sent; the message to be sent is automatically sent through enterprise WeChat; and collecting feedback data of the clients for analysis, storing new behavior data of the clients, and dynamically optimizing an operation method. The invention classifies the clients and marks the corresponding labels, is convenient for the targeted transmission of the subsequent messages, can push the messages to the large-scale clients at regular time, and improves the operation efficiency.

Description

Operation method and equipment for large-scale users based on multiple enterprise WeChat bodies
Technical Field
The invention particularly relates to an operation method and equipment for large-scale users based on a plurality of enterprise WeChat bodies.
Background
Operation and maintenance are the tie for enhancing the connection compactness between enterprises and clients, and with the rise of the Internet age, the operation and maintenance are gradually transferred from off-line to on-line. With popularization and wide application of enterprise WeChat, more and more enterprises begin to use the WeChat as a main channel for communication and exchange with clients. The existing operation and maintenance is that operators manually process the message transmission of a plurality of enterprise WeChat users, and the time consumption is long and the efficiency is low. The problem is more pronounced especially when dealing with large-scale users.
Disclosure of Invention
In order to solve the technical problems, the invention provides an operation method and equipment for large-scale users based on a plurality of enterprise WeChat bodies.
In order to achieve the above purpose, the technical scheme of the invention is as follows:
on one hand, the invention discloses an operation method of large-scale users based on a plurality of enterprise WeChat bodies, which comprises the following steps:
step S1: collecting and storing basic information and behavior data of clients;
step S2: classifying the clients according to the basic information and behavior data of the clients, and giving corresponding labels;
step S3: according to different scene demands, designing a plurality of message templates with different categories;
step S4: when operation is needed, screening a target client of the message to be sent, and selecting a corresponding message template according to specific scene requirements and basic information of the target client to form the message to be sent;
step S5: the message to be sent is automatically sent through enterprise WeChat;
step S6: and collecting feedback data of the clients for analysis, storing new behavior data of the clients, and dynamically optimizing an operation method.
On the basis of the technical scheme, the following improvement can be made:
as a preferred embodiment, step S3 includes:
step S3.1: designing a plurality of primary message templates with different categories according to different scene requirements;
step S3.2: and carrying out detail optimization on the primary message templates of each category based on the tag information, and optimizing out a secondary message template corresponding to the tags one by one.
As a preferred embodiment, step S4 includes:
step S4.1: screening target clients of the message to be sent;
step S4.2: selecting a primary message template according to specific scene requirements;
step S4.3: according to the basic information of the target client, finding out the corresponding label and selecting a secondary message template;
step S4.4: automatically inputting target client information on a secondary message template to form a message to be sent;
step S4.5: the message to be sent is optimized based on the latest behavior data of the target client.
As a preferred embodiment, step S5 includes:
processing and checking each message to be sent;
if the verification is qualified, the verification is sent to a message sending end of the enterprise WeChat, and the message sending end sorts all the messages to be sent according to the time to be sent;
if the verification is not qualified, the information to be sent is identified, and the step S4 is executed again to generate new information to be sent, and if the verification is still not qualified for a plurality of times, alarm information is sent.
Preferably, the message template comprises: text, pictures, video, applets, web pages.
On the other hand, the invention also discloses an operation device based on a plurality of enterprise WeChat main bodies large-scale users, which comprises:
the acquisition and storage module is used for acquiring and storing basic information and behavior data of clients;
the classification module is used for classifying the basic information and the behavior data of the clients according to the basic information and the behavior data of the clients and giving corresponding labels;
the message template design module is used for designing message templates of various different categories according to different scene requirements;
the message forming module is used for screening target clients of the message to be sent when operation is needed, and selecting corresponding message templates according to specific scene requirements and basic information of the target clients to form the message to be sent;
the automatic sending module is used for automatically sending the message to be sent through the enterprise WeChat;
and the feedback analysis module is used for collecting feedback data of the clients for analysis, storing new behavior data of the clients and dynamically optimizing the operation method.
As a preferred solution, the message template design module includes:
the primary design unit is used for designing primary message templates of various different categories according to different scene requirements;
and the secondary design unit is used for optimizing the details of the primary message templates of each category based on the label information to optimize the secondary message templates corresponding to the labels one by one.
Preferably, the message forming module includes:
the target client screening unit is used for screening the target clients of the message to be sent;
the first processing unit is used for selecting a primary message template according to specific scene requirements;
the second processing unit is used for finding out the corresponding label according to the basic information of the target client and selecting a second-level message template;
the third processing unit is used for automatically inputting target client information on the second-level message template to form a message to be sent;
and the optimizing processing unit is used for optimizing the message to be sent based on the latest behavior data of the target client.
As a preferred solution, the automatic transmission module includes the following methods:
processing and checking each message to be sent;
if the verification is qualified, the verification is sent to a message sending end of the enterprise WeChat, and the message sending end sorts all the messages to be sent according to the time to be sent;
if the verification is not qualified, the information to be sent is identified, the method of the information forming module is executed again, new information to be sent is generated, and if the verification is still not qualified for a plurality of times, alarm information is sent.
Preferably, the message template comprises: text, pictures, video, applets, web pages.
The operation method and the device for the large-scale users based on the WeChat main bodies of the enterprises have the following beneficial effects:
firstly, the invention classifies clients and marks corresponding labels, thereby facilitating the targeted transmission of subsequent messages.
Secondly, the invention can push the information to the large-scale clients at regular time, thereby improving the operation efficiency.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of an operation method provided in an embodiment of the present invention.
FIG. 2 is an exemplary diagram of providing a primary message template and a secondary message template in accordance with an embodiment of the present invention.
Detailed Description
Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The use of ordinal terms "first," "second," "third," etc., to describe a generic object merely denotes different instances of like objects, and is not intended to imply that the objects so described must have a given order, either temporally, spatially, in ranking, or in any other manner.
In addition, the expression "comprising" an element is an "open" expression which merely means that there is a corresponding component or step and should not be interpreted as excluding the existence of additional components or steps.
In order to achieve the object of the present invention, in some embodiments of an operation method based on a large-scale user of a plurality of enterprise WeChat bodies, before the present invention is executed, operators introduce clients into enterprise WeChat through various channels, and record client characteristics according to the client entering mode after adding the client into the enterprise WeChat, such as: men and women, customer service addition, time addition, channel names and the like, and is convenient for subsequent management.
As shown in fig. 1, the operation method of the present invention includes:
step S1: collecting and storing basic information (such as names, contact modes and the like) of clients on an enterprise WeChat platform;
step S2: classifying the clients according to the basic information and behavior data of the clients, and giving corresponding labels to form m labels;
step S3: according to different scene demands, designing a plurality of message templates with different categories;
step S4: when operation is needed, a target client of the message to be sent is screened through a label, and a corresponding message template is selected according to specific scene requirements and basic information of the target client to form the message to be sent;
step S5: the message to be sent is automatically sent through enterprise WeChat;
step S6: and collecting feedback data of the clients for analysis, storing new behavior data of the clients, and dynamically optimizing an operation method.
The invention automatically classifies the clients according to the gender, the interests, the popularization channels and other modes, realizes accurate operation through the tags, and can better understand and analyze the requirements of different types of clients by different tags. The types of message templates described above may be, but are not limited to, welcome messages, event promotional messages, congratulatory messages, sorry messages, and the like. The message template comprises the following components: text, pictures, video, applets, web pages, and the like. Similarly, the material is stored in a material library.
When certain conditions (such as various holidays, promotional event celebration, etc.) are met, step S4 is automatically triggered, corresponding messages are generated, and the corresponding target clients are sent.
In the invention, step S6 further optimizes the operation strategy and provides decision support by carrying out statistics and analysis on the client feedback data after the message is sent. Further, based on the feedback data (such as browsing amount, click rate, reply of the message and the like) of the client, the quality of the material is analyzed, the material library is updated in real time, the high-quality material is reserved, and the bad material is removed.
Specifically, step S3 includes:
step S3.1: according to different scene demands, n primary message templates of various different categories are designed;
step S3.2: and carrying out detail optimization on the primary message templates of each category based on the label information, and optimizing out secondary message templates corresponding to the labels one by one, wherein n times m secondary templates are in total.
Such as: there are 3 primary message templates, specifically: primary template one, primary template two, primary template three. The 3 labels are specifically: tag one, tag two, tag three, there are 9 total two-level message templates, as shown in fig. 2.
Further, step S4 includes:
step S4.1: screening target clients of the message to be sent;
step S4.2: selecting a primary message template according to specific scene requirements;
step S4.3: according to the basic information of the target client, finding out the corresponding label and selecting a secondary message template;
step S4.4: automatically inputting target client information on a secondary message template to form a message to be sent;
step S4.5: the message to be sent is optimized based on the latest behavior data of the target client.
Further, step S5 includes:
processing and checking each message to be sent;
if the verification is qualified, the verification is sent to a message sending end of the enterprise WeChat, and the message sending end sorts all the messages to be sent according to the time to be sent;
if the verification is not qualified, the information to be sent is identified, and the step S4 is executed again to generate new information to be sent, and if the verification is still not qualified for a plurality of times, alarm information is sent.
The operation of processing and checking can be processed through a server side. The invention can also check the online condition of the enterprise WeChat and the task execution condition of the message sending end, and monitor the processing condition of the task received by the message sending end. The interactive communication task scheduling service is used for arranging the messaging tasks of the serial service end and the messaging end, so that unnecessary time consumption in the process is reduced.
The invention can select the timing time to make a message sending plan schedule, support one-time multi-day planning, and automatically push messages to target clients every day according to planning configuration. Meanwhile, according to the time configured by operators, the information is pushed to the enterprise WeChat interface at regular time, the information notification is generated to the information sending end, the information sending end automatically clicks a sending confirmation button, and the information sending end sequentially sends the information to corresponding clients according to the task sequence.
In other of these embodiments of an operating device based on a plurality of enterprise WeChat principals large-scale users, the operating device comprises:
the acquisition and storage module is used for acquiring and storing basic information and behavior data of clients;
the classification module is used for classifying the basic information and the behavior data of the clients according to the basic information and the behavior data of the clients and giving corresponding labels;
the message template design module is used for designing message templates of various different categories according to different scene requirements;
the message forming module is used for screening target clients of the message to be sent when operation is needed, and selecting corresponding message templates according to specific scene requirements and basic information of the target clients to form the message to be sent;
the automatic sending module is used for automatically sending the message to be sent through the enterprise WeChat;
and the feedback analysis module is used for collecting feedback data of the clients for analysis, storing new behavior data of the clients and dynamically optimizing the operation method.
Further, the message template design module includes:
the primary design unit is used for designing primary message templates of various different categories according to different scene requirements;
and the secondary design unit is used for optimizing the details of the primary message templates of each category based on the label information to optimize the secondary message templates corresponding to the labels one by one.
Further, the message forming module includes:
the target client screening unit is used for screening the target clients of the message to be sent;
the first processing unit is used for selecting a primary message template according to specific scene requirements;
the second processing unit is used for finding out the corresponding label according to the basic information of the target client and selecting a second-level message template;
the third processing unit is used for automatically inputting target client information on the second-level message template to form a message to be sent;
and the optimizing processing unit is used for optimizing the message to be sent based on the latest behavior data of the target client.
Further, the automatic transmission module comprises the following steps:
processing and checking each message to be sent;
if the verification is qualified, the verification is sent to a message sending end of the enterprise WeChat, and the message sending end sorts all the messages to be sent according to the time to be sent;
if the verification is not qualified, the information to be sent is identified, the method of the information forming module is executed again, new information to be sent is generated, and if the verification is still not qualified for a plurality of times, alarm information is sent.
Further, the message template includes: text, pictures, video, applets, web pages.
In this embodiment, the specific content of the operation device based on the large-scale users of the plurality of enterprise WeChat bodies is similar to the content of the operation method based on the large-scale users of the plurality of enterprise WeChat bodies disclosed in the above embodiment, and will not be described herein.
The operation method and the device for the large-scale users based on the WeChat main bodies of the enterprises have the following beneficial effects:
firstly, the invention classifies clients and marks corresponding labels, thereby facilitating the targeted transmission of subsequent messages.
Secondly, the invention can push the information to the large-scale clients at regular time, thereby improving the operation efficiency.
It should be understood that the various techniques described herein may be implemented in connection with hardware or software or, alternatively, with a combination of both. Thus, the methods and apparatus of the present invention, or certain aspects or portions of the methods and apparatus of the present invention, may take the form of program code (i.e., instructions) embodied in tangible media, such as floppy diskettes, CD-ROMs, hard drives, or any other machine-readable storage medium, wherein, when the program is loaded into and executed by a machine, such as a computer, the machine becomes an apparatus for practicing the invention.
While the basic principles and main features of the present invention and advantages of the present invention have been shown and described, it will be understood by those skilled in the art that the present invention is not limited by the foregoing embodiments, which are described in the foregoing specification merely illustrate the principles of the present invention, and various changes and modifications may be made therein without departing from the spirit and scope of the invention, which is defined in the appended claims and their equivalents.

Claims (10)

1. The operation method of the large-scale user based on the plurality of enterprise WeChat bodies is characterized by comprising the following steps:
step S1: collecting and storing basic information and behavior data of clients;
step S2: classifying the clients according to the basic information and behavior data of the clients, and giving corresponding labels;
step S3: according to different scene demands, designing a plurality of message templates with different categories;
step S4: when operation is needed, screening a target client of the message to be sent, and selecting a corresponding message template according to specific scene requirements and basic information of the target client to form the message to be sent;
step S5: the message to be sent is automatically sent through enterprise WeChat;
step S6: and collecting feedback data of the clients for analysis, storing new behavior data of the clients, and dynamically optimizing an operation method.
2. The operation method according to claim 1, wherein the step S3 comprises:
step S3.1: designing a plurality of primary message templates with different categories according to different scene requirements;
step S3.2: and carrying out detail optimization on the primary message templates of each category based on the tag information, and optimizing out a secondary message template corresponding to the tags one by one.
3. The operation method according to claim 2, wherein the step S4 comprises:
step S4.1: screening target clients of the message to be sent;
step S4.2: selecting a primary message template according to specific scene requirements;
step S4.3: according to the basic information of the target client, finding out the corresponding label and selecting a secondary message template;
step S4.4: automatically inputting target client information on a secondary message template to form a message to be sent;
step S4.5: the message to be sent is optimized based on the latest behavior data of the target client.
4. An operation method according to claim 3, characterized in that said step S5 comprises:
processing and checking each message to be sent;
if the verification is qualified, the verification is sent to a message sending end of the enterprise WeChat, and the message sending end sorts all the messages to be sent according to the time to be sent;
if the verification is not qualified, the information to be sent is identified, and the step S4 is executed again to generate new information to be sent, and if the verification is still not qualified for a plurality of times, alarm information is sent.
5. The method of any of claims 1-4, wherein the message template includes: text, pictures, video, applets, web pages.
6. An operation device based on a plurality of enterprise WeChat main bodies large-scale users, which is characterized by comprising:
the acquisition and storage module is used for acquiring and storing basic information and behavior data of clients;
the classification module is used for classifying the basic information and the behavior data of the clients according to the basic information and the behavior data of the clients and giving corresponding labels;
the message template design module is used for designing message templates of various different categories according to different scene requirements:
the message forming module is used for screening target clients of the message to be sent when operation is needed, and selecting corresponding message templates according to specific scene requirements and basic information of the target clients to form the message to be sent;
the automatic sending module is used for automatically sending the message to be sent through the enterprise WeChat;
and the feedback analysis module is used for collecting feedback data of the clients for analysis, storing new behavior data of the clients and dynamically optimizing the operation method.
7. The operation device according to claim 6, wherein the message template design module includes:
the primary design unit is used for designing primary message templates of various different categories according to different scene requirements;
and the secondary design unit is used for optimizing the details of the primary message templates of each category based on the label information to optimize the secondary message templates corresponding to the labels one by one.
8. The operation device according to claim 7, wherein the message forming module includes:
the target client screening unit is used for screening the target clients of the message to be sent;
the first processing unit is used for selecting a primary message template according to specific scene requirements;
the second processing unit is used for finding out the corresponding label according to the basic information of the target client and selecting a second-level message template;
the third processing unit is used for automatically inputting target client information on the second-level message template to form a message to be sent;
and the optimizing processing unit is used for optimizing the message to be sent based on the latest behavior data of the target client.
9. The operation device according to claim 8, wherein the automatic transmission module comprises the following method:
processing and checking each message to be sent;
if the verification is qualified, the verification is sent to a message sending end of the enterprise WeChat, and the message sending end sorts all the messages to be sent according to the time to be sent;
if the verification is not qualified, the information to be sent is identified, the method of the information forming module is executed again, new information to be sent is generated, and if the verification is still not qualified for a plurality of times, alarm information is sent.
10. The operation device according to any one of claims 6-9, wherein the message template comprises: text, pictures, video, applets, web pages.
CN202311815801.9A 2023-12-27 2023-12-27 Operation method and equipment for large-scale users based on multiple enterprise WeChat bodies Pending CN117852750A (en)

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CN202311815801.9A CN117852750A (en) 2023-12-27 2023-12-27 Operation method and equipment for large-scale users based on multiple enterprise WeChat bodies

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Application Number Priority Date Filing Date Title
CN202311815801.9A CN117852750A (en) 2023-12-27 2023-12-27 Operation method and equipment for large-scale users based on multiple enterprise WeChat bodies

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CN117852750A true CN117852750A (en) 2024-04-09

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