CN114119068A - Intelligent analysis method and management platform for pharmacy enterprise WeChat customer group - Google Patents
Intelligent analysis method and management platform for pharmacy enterprise WeChat customer group Download PDFInfo
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Abstract
The invention provides an intelligent analysis method and a management platform for a pharmacy enterprise WeChat customer group, wherein the method comprises the following steps: capturing basic information of each client and historical order information of each client in a pharmacy enterprise WeChat client group; based on the basic information of each client and the historical order information of each client, counting data of each client group with different dimensions through big data, wherein the data of different dimensions comprise group member data, group consumption amount, group consumption number, group consumption times and group purchase conversion rate; and setting different time periods, comparing data of different dimensions of the customer group in different time periods, and analyzing the operation result and the conversion result of the pharmacy. According to the invention, through collecting the order information of the WeChat customer group, the consumption related data of each customer in the pharmacy is counted, and each customer is intelligently analyzed, so that the pharmacy is clear at a glance, and accurate marketing can be carried out for the customers with different attributes.
Description
Technical Field
The invention relates to the field of data analysis, in particular to an intelligent analysis method and a management platform for a pharmacy enterprise wechat client group.
Background
The bottleneck period of physical operation is that online pharmacies are facing explosive growth. When the online operation is needed, a private domain flow pool is needed, and the operation of the private domain flow is needed. The flow is grasped by others, and if a pharmacy wants to have sales performance, provide price preference or make service, the service is difficult to implement on a third-party platform because the user is difficult to reach, and therefore, the pharmacy can only fight against price. The private domain is a necessary channel and a future mastery channel of an enterprise, and the private domain flow is performed by utilizing enterprise WeChat, so that a more convenient drainage mode and a better community function are realized. Today, the era of high conversion achieved by simply increasing users has not existed. Private domain flow is required to be made, fine operation of a community is not performed by utilizing enterprise WeChat, and a new situation can be opened only on the basis of utilizing the advantages of the enterprise WeChat.
The existing pharmacy has no effective mode to guide customers to an enterprise traffic pool, cannot manage the customers in a labeling mode, is not layered, has long conversion period and high cost, does not know the attributes of the customers, cannot distinguish the customers in a refined mode, is difficult to output valuable contents for the customers, and is difficult to store and lose.
Disclosure of Invention
Aiming at the technical problems in the prior art, the invention provides an intelligent analysis method and a management platform for a pharmacy enterprise wechat client group, which can realize intelligent analysis of data of the enterprise wechat client group and can realize layering of different clients.
According to a first aspect of the invention, an intelligent analysis method for a pharmacy enterprise WeChat customer group is provided, which comprises the following steps: capturing basic information of each client and historical order information of each client in a pharmacy enterprise WeChat client group; based on the basic information of each client and the historical order information of each client, counting data of each client group with different dimensions through big data, wherein the data of different dimensions comprise group member data, group consumption amount, group consumption number, group consumption times and group purchase conversion rate; and setting different time periods, comparing data of different dimensions of the customer group in different time periods, and analyzing the operation result and the conversion result of the pharmacy.
On the basis of the technical scheme, the invention can be improved as follows.
Optionally, the statistics of data of different dimensions of each customer group through big data based on the basic information of each customer and the historical order information of each customer includes: based on the basic information of each user of the enterprise customer group and the historical order information of each customer, according to big data modeling, the group data is divided into the following dimensions: the method comprises the following steps of group member customer number, newly added customer number, lost customer number, total consumption amount of recent half year, consumption times, consumption number, purchase conversion rate, data of different dimensions of each customer group through big data statistics, group member data, group consumption amount, group consumption number, group consumption times and group purchase conversion rate.
Optionally, the capturing basic information of each customer and historical order information of each customer in the pharmacy enterprise WeChat customer group further includes: analyzing the attribute of each client according to the data of different dimensions of each client, and attaching an attribute label to each client according to the attribute of each client, wherein the attribute label at least comprises whether the client is a member, whether the client is a newly added client, whether the client is a large-amount consumption client and whether the client is a potential client.
Optionally, the method further includes: and classifying each client in the enterprise WeChat client group according to the attribute label, and classifying the clients with the same attribute label into one class.
According to a second aspect of the present invention, there is provided an enterprise wechat client group management platform for intelligent analysis of a pharmacy enterprise wechat client group, comprising: the system comprises a grasping module, a storage module and a processing module, wherein the grasping module is used for grasping basic information of each client and historical order information of each client in a pharmacy enterprise WeChat client group; the statistical analysis module is used for counting data of different dimensions of each client group through big data based on the basic information of each client and the historical order information of each client, wherein the data of different dimensions comprise group member data, group consumption amount, group consumption number, group consumption times and group purchase conversion rate; and the comparison and analysis module is used for setting different time periods, comparing the data of different dimensions of the customer group in different time periods, and analyzing the operation result and the conversion result of the pharmacy.
Optionally, the statistical analysis module is configured to perform statistics on data of different dimensions of each customer group through big data based on the basic information of each customer and the historical order information of each customer, and the statistics includes: based on the basic information of each user of the enterprise customer group and the historical order information of each customer, according to big data modeling, the group data is divided into the following dimensions: the method comprises the following steps of group member customer number, newly added customer number, lost customer number, total consumption amount of recent half year, consumption times, consumption number, purchase conversion rate, data of different dimensions of each customer group through big data statistics, group member data, group consumption amount, group consumption number, group consumption times and group purchase conversion rate.
Optionally, the statistical analysis module is further configured to: analyzing the attribute of each client according to the data of different dimensions of each client, and attaching an attribute label to each client according to the attribute of each client, wherein the attribute label at least comprises whether the client is a member, whether the client is a newly added client, whether the client is a large-amount consumption client and whether the client is a potential client.
Optionally, the enterprise WeChat client system further comprises a classification module, configured to classify each client in the enterprise WeChat client group according to the attribute tag, and classify clients with the same attribute tag into a class.
According to a third aspect of the present invention, there is provided an electronic device comprising a memory, a processor for implementing the steps of the intelligent analysis method of a group of pharmacy enterprise WeChat customers when executing a computer management-like program stored in the memory.
According to a fourth aspect of the present invention, there is provided a computer-readable storage medium having stored thereon a computer management-like program, which when executed by a processor, performs the steps of the intelligent analysis method for a pharmacy enterprise WeChat customer base.
According to the intelligent analysis method and the management platform for the pharmacy enterprise WeChat customer group, provided by the invention, the order information of the WeChat customer group is collected, the consumption related data of each customer in a pharmacy is counted, each customer is intelligently analyzed, the pharmacy is clear at a glance, and accurate marketing can be carried out for the customers with different attributes.
Drawings
FIG. 1 is a flow chart of an intelligent analysis method for a pharmacy enterprise WeChat customer base provided by the invention;
FIG. 2 is a schematic structural diagram of an enterprise WeChat client group management platform;
FIG. 3 is a schematic diagram of a hardware structure of a possible electronic device provided in the present invention;
fig. 4 is a schematic diagram of a hardware structure of a possible computer-readable storage medium according to the present invention.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
Example one
An intelligent analysis method for a pharmacy enterprise WeChat customer group, referring to FIG. 1, comprises the following steps: capturing basic information of each client and historical order information of each client in a pharmacy enterprise WeChat client group; based on the basic information of each client and the historical order information of each client, counting data of each client group with different dimensions through big data, wherein the data of different dimensions comprise group member data, group consumption amount, group consumption number, group consumption times and group purchase conversion rate; and setting different time periods, comparing data of different dimensions of the customer group in different time periods, and analyzing the operation result and the conversion result of the pharmacy.
Specifically, basic information (for example, identity information of the customers and member information of the customers) of each customer of the respective pharmacy enterprise WeChat customer groups and historical order information of each customer are collected. According to the collected customer data information, analyzing different dimensionalities of data related to pharmacy consumption of each customer group, analyzing the variation trend of the data of different dimensionalities of each customer group in different time periods, and further analyzing the operation result and the conversion result of the pharmacy.
According to the invention, through collecting the order information of the WeChat customer group, the consumption related data of each customer in the pharmacy is counted, and each customer is intelligently analyzed, so that the pharmacy is clear at a glance, accurate marketing can be carried out for the customers with different attributes, and the operation effect and the conversion effect of the pharmacy can be fully known.
Example two
An intelligent analysis method for a pharmacy enterprise WeChat customer group mainly comprises the following steps:
and S1, capturing basic information of each client in the pharmacy enterprise WeChat client group and historical order information of each client.
Specifically, for the enterprise wechat client group of each pharmacy, the basic information of each client in each enterprise wechat client group and the historical order information of each client are collected, wherein the basic information of each client comprises, for example, the identity information of the client and the member information of the client, and the historical order information of the client refers to the historical order information consumed by the client at the pharmacy.
And S2, counting data of different dimensions of each client group through big data based on the basic information of each client and the historical order information of each client, wherein the data of different dimensions comprise group member data, group consumption amount, group consumption number, group consumption times and group purchase conversion rate.
Specifically, step S1 captures basic information of each client and historical order information of each client in the enterprise wechat client group, and this step divides the group data into the following dimensions according to big data modeling: the method comprises the following steps of group member customer number, newly added customer number, lost customer number, total consumption amount of recent half year, consumption times, consumption number, purchase conversion rate, data of different dimensions of each customer group through big data statistics, group member data, group consumption amount, group consumption number, group consumption times and group purchase conversion rate. When the data of different dimensions of each client group are counted, the statistics can be performed according to different time periods, that is, the data of different dimensions of each client group in different time periods are counted.
In addition, for each client, the attribute of each client is analyzed according to the basic information and the historical order information of each client, and an attribute label is attached to each client according to the attribute of each client, wherein the attribute label at least comprises whether the client is a member, whether the client is a newly added client, whether the client is a large-amount consumption client and whether the client is a potential client.
Specifically, attribute tags can be printed on enterprise wechat groups and clients in the groups in batches, and the attribute tags can be automatically synchronized into enterprise wechat client information. And classifying each client in the enterprise WeChat client group according to the attribute label, and classifying the clients with the same attribute label into one class.
And S3, setting different time periods, comparing the data of the client group in different dimensions in different time periods, and analyzing the operation result and the conversion result of the pharmacy.
Specifically, for the data with different dimensions of each enterprise customer group in different time periods obtained by statistics in step S2, the data with different dimensions of the customer groups in different time periods are compared and analyzed, and the group data in different time periods can be checked through daily comparison, monthly comparison and custom time period comparison, so as to analyze the operation effect and the conversion.
EXAMPLE III
An enterprise WeChat client group management platform, referring to FIG. 2, the management platform comprises a crawling module 201, a statistical analysis module 202 and a comparison analysis module 203, wherein:
the grasping module 201 is used for grasping basic information of each client and historical order information of each client in the pharmacy enterprise WeChat client group; the statistical analysis module 202 is used for counting data of different dimensions of each customer group through big data based on the basic information of each customer and the historical order information of each customer, wherein the data of different dimensions comprise group member data, group consumption amount, group consumption number, group consumption times and group purchase conversion rate; and the comparison and analysis module 203 is used for setting different time periods, comparing data of different dimensions of the customer group in different time periods, and analyzing the operation result and the conversion result of the pharmacy.
The embodiment of the invention provides a universal enterprise wechat client group management platform, which meets 90% of requirements of private domain flow operation of a pharmacy. Based on a health CRM member management system and combined with a big data algorithm, intelligent and accurate division is carried out on micro customer groups of the pharmacy enterprise, each customer is technically intelligently analyzed, automatic label classification is achieved, the pharmacy is clear at a glance, and accurate marketing can be carried out on the customers with different attributes.
The enterprise wechat client group management platform does not need to develop rules and configure contents independently for each set of scheme, the base logic and the algorithm rule are combined into one set, code redundancy is reduced, and reusability of the system is higher. And (4) after docking is carried out by using the health enterprise micro assistant, all client groups are automatically acquired, and intelligent analysis of the client groups is automatically carried out. Repeated development is not needed, manpower and material resources are saved, and code transformation is not needed.
It can be understood that the enterprise wechat client group management platform provided by the present invention corresponds to the intelligent analysis method for the pharmacy enterprise wechat client group provided by the foregoing embodiments, and the relevant technical features of the enterprise wechat client group management platform may refer to the relevant technical features of the intelligent analysis method for the pharmacy enterprise wechat client group, which are not described herein again.
Example four
Referring to fig. 3, fig. 4 is a schematic view of an embodiment of an electronic device according to an embodiment of the invention. As shown in fig. 3, an embodiment of the present invention provides an electronic device 300, which includes a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor 320, wherein the processor 320 executes the computer program 311 to implement the following steps: capturing basic information of each client and historical order information of each client in a pharmacy enterprise WeChat client group; based on the basic information of each client and the historical order information of each client, counting data of each client group with different dimensions through big data, wherein the data of different dimensions comprise group member data, group consumption amount, group consumption number, group consumption times and group purchase conversion rate; and setting different time periods, comparing data of different dimensions of the customer group in different time periods, and analyzing the operation result and the conversion result of the pharmacy.
EXAMPLE five
Referring to fig. 4, fig. 4 is a schematic diagram of an embodiment of a computer-readable storage medium according to the present invention. As shown in fig. 4, the present embodiment provides a computer-readable storage medium 400, on which a computer program 411 is stored, the computer program 411 implementing the following steps when executed by a processor: capturing basic information of each client and historical order information of each client in a pharmacy enterprise WeChat client group; based on the basic information of each client and the historical order information of each client, counting data of each client group with different dimensions through big data, wherein the data of different dimensions comprise group member data, group consumption amount, group consumption number, group consumption times and group purchase conversion rate; and setting different time periods, comparing data of different dimensions of the customer group in different time periods, and analyzing the operation result and the conversion result of the pharmacy.
Compared with the prior art, the intelligent analysis method and the management platform for the pharmacy enterprise WeChat customer group provided by the embodiment of the invention have the following advantages:
1. the method provides a high-accuracy big data algorithm for enterprises, intelligently and accurately divides enterprise and micro client groups, technically analyzes each client intelligently, achieves automatic label classification, enables a pharmacy to be clear at a glance, and improves the working efficiency of store personnel.
2. According to big data modeling, the group data are divided into a plurality of different dimensions, the comparison of user-defined time periods can be followed, and the group data are automatically analyzed.
It should be noted that, in the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to relevant descriptions of other embodiments for parts that are not described in detail in a certain embodiment.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. An intelligent analysis method for a pharmacy enterprise WeChat customer group is characterized by comprising the following steps:
capturing basic information of each client and historical order information of each client in a pharmacy enterprise WeChat client group;
based on the basic information of each client and the historical order information of each client, counting data of each client group with different dimensions through big data, wherein the data of different dimensions comprise group member data, group consumption amount, group consumption number, group consumption times and group purchase conversion rate;
and setting different time periods, comparing data of different dimensions of the customer group in different time periods, and analyzing the operation result and the conversion result of the pharmacy.
2. The intelligent analysis method according to claim 1, wherein the statistics of data of different dimensions of each customer group through big data based on the basic information of each customer and the historical order information of each customer comprises:
based on the basic information of each user of the enterprise customer group and the historical order information of each customer, according to big data modeling, the group data is divided into the following dimensions: the method comprises the following steps of group member customer number, newly added customer number, lost customer number, total consumption amount of recent half year, consumption times, consumption number, purchase conversion rate, data of different dimensions of each customer group through big data statistics, group member data, group consumption amount, group consumption number, group consumption times and group purchase conversion rate.
3. The intelligent analysis method according to claim 1, wherein the capturing of the basic information of each customer and the historical order information of each customer in the pharmacy enterprise WeChat customer base further comprises:
analyzing the attribute of each client according to the data of different dimensions of each client, and attaching an attribute label to each client according to the attribute of each client, wherein the attribute label at least comprises whether the client is a member, whether the client is a newly added client, whether the client is a large-amount consumption client and whether the client is a potential client.
4. The intelligent analysis method of claim 3, further comprising:
and classifying each client in the enterprise WeChat client group according to the attribute label, and classifying the clients with the same attribute label into one class.
5. An enterprise wechat client group management platform for intelligent analysis of a drugstore enterprise wechat client group, comprising:
the system comprises a grasping module, a storage module and a processing module, wherein the grasping module is used for grasping basic information of each client and historical order information of each client in a pharmacy enterprise WeChat client group;
the statistical analysis module is used for counting data of different dimensions of each client group through big data based on the basic information of each client and the historical order information of each client, wherein the data of different dimensions comprise group member data, group consumption amount, group consumption number, group consumption times and group purchase conversion rate;
and the comparison and analysis module is used for setting different time periods, comparing the data of different dimensions of the customer group in different time periods, and analyzing the operation result and the conversion result of the pharmacy.
6. The platform of claim 5, wherein the statistical analysis module is configured to perform statistics on data of different dimensions of each customer group through big data based on basic information of each customer and historical order information of each customer, and the statistics includes:
based on the basic information of each user of the enterprise customer group and the historical order information of each customer, according to big data modeling, the group data is divided into the following dimensions: the method comprises the following steps of group member customer number, newly added customer number, lost customer number, total consumption amount of recent half year, consumption times, consumption number, purchase conversion rate, data of different dimensions of each customer group through big data statistics, group member data, group consumption amount, group consumption number, group consumption times and group purchase conversion rate.
7. The enterprise wechat client group management platform of claim 5 or 6, wherein the statistical analysis module is further configured to:
analyzing the attribute of each client according to the data of different dimensions of each client, and attaching an attribute label to each client according to the attribute of each client, wherein the attribute label at least comprises whether the client is a member, whether the client is a newly added client, whether the client is a large-amount consumption client and whether the client is a potential client.
8. The platform of claim 7, further comprising a classification module configured to classify each customer in the enterprise wechat customer base according to the attribute tag, and classify the customers with the same attribute tag into a class.
9. An electronic device comprising a memory, a processor for implementing the steps of the intelligent analysis method for a pharmacy enterprise trusted customer base as claimed in any one of claims 1 to 4 when executing a computer management like program stored in the memory.
10. A computer-readable storage medium, having stored thereon a computer management-like program which, when executed by a processor, performs the steps of the method for intelligent analysis of a pharmacy enterprise wechat client group as claimed in any one of claims 1 to 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114722253A (en) * | 2022-04-15 | 2022-07-08 | 杭州睿创科技有限公司 | Hotel private domain flow operation management method and device, storage medium and electronic equipment |
| CN115118693A (en) * | 2022-06-28 | 2022-09-27 | 平安银行股份有限公司 | Group member data processing method and device, electronic equipment and storage medium |
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2021
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114722253A (en) * | 2022-04-15 | 2022-07-08 | 杭州睿创科技有限公司 | Hotel private domain flow operation management method and device, storage medium and electronic equipment |
| CN115118693A (en) * | 2022-06-28 | 2022-09-27 | 平安银行股份有限公司 | Group member data processing method and device, electronic equipment and storage medium |
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