CN115757909A - Method, device and terminal for constructing fused portrait of client, product and service - Google Patents
Method, device and terminal for constructing fused portrait of client, product and service Download PDFInfo
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- CN115757909A CN115757909A CN202211494746.3A CN202211494746A CN115757909A CN 115757909 A CN115757909 A CN 115757909A CN 202211494746 A CN202211494746 A CN 202211494746A CN 115757909 A CN115757909 A CN 115757909A
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Abstract
The invention relates to the field of constructing a customer portrait, in particular to a method, a device and a terminal for constructing a fused portrait of a customer, a product and a service, wherein the method for constructing the fused portrait of the customer, the product and the service comprises the following steps: forming a first customer label based on customer company base data; forming a second client label based on product data and service data of the cooperation of the client and the enterprise; classifying and analyzing the customers based on product data and service data of enterprises and in combination with the first customer label and the second customer label to form attribute labels with different dimensions, and constructing a fused portrait through a plurality of attribute labels, wherein the fused portrait comprises a customer portrait formed by fusing multi-dimensional attribute labels. The method and the system analyze from a plurality of data sources to form the fusion portrait which can embody the multi-dimensional client label, and are favorable for enterprises to perform personalized service on the client.
Description
Technical Field
The invention relates to the field of client portrait construction, in particular to a method, a device and a terminal for constructing a fused portrait of a client, a product and a service.
Background
The client portrait refers to the fact that client information is labeled, the client portrait is a virtual representation of a real client, and the establishment of the client portrait can help an enterprise to know the client, locate client characteristics and mine potential business so as to carry out marketing, thereby perfecting product operation and improving user experience.
The existing related enterprise information query platform can tag the client by using the client image. According to the real data of the client, such as the industry, annual output value, enterprise scale and the like of the client, a mined labeled client model is used for depicting the complete view of the attribute information of the client as the basis of the application of the enterprise big data, and simultaneously, the client information query service is provided, and the client model is used as a product through the charging classification of the query service authority.
However, the client portrait is created only through the real data of the client, the data source is single, the formed label dimension of the client is small, and based on the reasons, the single data source analysis of the client is not beneficial to performing personalized service on the client.
Disclosure of Invention
In order to conveniently perform personalized service on a client, the application provides a method, a device and a terminal for constructing a fusion portrait of the client, a product and the service.
In a first aspect, the method for constructing a fusion portrait of a client, a product and a service provided by the application adopts the following technical scheme:
the method, the device and the terminal for constructing the fusion portrait of the client, the product and the service comprise the following steps: forming a first customer label based on customer company base data; forming a second client label based on product data and service data of the cooperation of the client and the enterprise; classifying and analyzing the customers based on product data and service data of enterprises and in combination with the first customer label and the second customer label to form attribute labels with different dimensions, and constructing a fused portrait through a plurality of attribute labels, wherein the fused portrait comprises a customer portrait formed by fusing multi-dimensional attribute labels.
By adopting the technical scheme, the client is classified and analyzed to form attribute labels with multiple dimensions by combining a first client label formed by client basic data and a second client label formed by combining client and enterprise cooperative product data and service data, then a fusion portrait based on client construction, product and service construction is constructed, the fusion portrait is a client portrait formed by fusing the multi-dimensional attribute labels, the client portrait constructed by the client labels with multiple dimensions is visually and conveniently displayed by the fusion portrait, and the client portrait formed by comparing the client portrait with a single data source is analyzed from multiple data sources, so that the enterprise can perform personalized service on the client, and the enterprise can perform personalized service on the client.
Preferably, the step of forming a first customer label based on the customer company basic data includes: based on the main business in the basic data of the client company, the client industry information is obtained and the industry division processing is carried out on the client according to the client industry information.
By adopting the technical scheme, the industry division processing is carried out on the client company through the main operation business of the client company so as to facilitate the comparison between the client company and a company in the same industry, and the enterprise is favorable for carrying out personalized service on the client.
Preferably, the step of forming a first customer label based on the customer company basic data includes: and comparing the mean value levels of the core products and the technical information of the same industry based on the obtained core products and the technical data of the customers, judging the technical innovation degree of the customers, scoring the innovation degree, and creating the score of the innovation degree in the first customer label.
By adopting the technical scheme, the core products and the technology of the client company are compared with the core products and the technology mean value of the same industry, the innovation degree of the client is graded, subsequent enterprises can push products and services related to the improvement of the innovation degree to the user, and the enterprise can further perform personalized service to the client.
Preferably, the step of forming a first customer label based on the customer company basic data includes: and based on the income of the client company, comparing the income of the company in the same industry, ranking the clients, and creating the client ranking in the first client label.
By adopting the technical scheme, the positions of the customers in the company in the same industry are judged according to the operating income of the customer company, and the customer ranking is established in the first customer label, so that the dimension of the enterprise for customer analysis is increased, and the enterprise is favorable for performing personalized service on the customers.
Preferably, the step of forming a first customer label based on the customer company basic data includes: and determining the influence of the client company in the same industry based on the client participation industry key project data and standard formulation data, grading the influence, and establishing the influence grade in the first client label.
By adopting the technical scheme, influence scoring is carried out on the client company based on the industry key projects participated by the client and the standard customized data, the dimensionality of the enterprise for client analysis is increased, and the enterprise can carry out personalized service on the client.
Preferably, the step of classifying and analyzing the customers based on the product data and the service data of the enterprise in combination with the first customer tag and the second customer tag to form a plurality of attribute tags with different dimensions, and constructing the fused portrait through the plurality of attribute tags includes: and matching enterprise products and services related to the innovation based on the innovation degree score to form an attribute label of the technical innovation.
By adopting the technical scheme, the enterprise grade improvement height of the customer after purchasing the enterprise products and services associated with the innovation is predicted by matching the enterprise products and services associated with the innovation, the dimensionality of the customer analysis of the enterprise is increased, the pushing precision of the enterprise products and services associated with the innovation is improved, and the enterprise can perform personalized service on the customer.
Preferably, the step of classifying and analyzing the customers based on the product data and the service data of the enterprise in combination with the first customer tag and the second customer tag to form a plurality of attribute tags with different dimensions, and constructing the fused portrait through the plurality of attribute tags includes: and matching enterprise products and services associated with financing based on the client ranking to form attribute labels of the market.
By adopting the technical scheme, enterprise products and services related to financing are matched according to the ranking of the client company, the ranking of the client in the same industry is favorably improved after the client purchases the enterprise products related to matching and innovation, the dimensionality of the client for analysis, the product and service pushing dimensionality of the enterprise are increased, and the personalized service of the client by the enterprise is favorably realized.
In a second aspect, the present application discloses an apparatus for constructing a merged image of a customer, a product and a service, using the method for constructing a merged image of a customer, a product and a service, comprising: a first customer tag module for forming a first customer tag based on customer company base data; the second client label module is used for forming a second client label based on product data and service data of cooperation of clients and enterprises; and the fusion portrait construction module is used for classifying and analyzing the customers based on product data and service data of enterprises and combining the first customer label and the second customer label to form attribute labels with different dimensions, and constructing the fusion portrait through a plurality of attribute labels.
By adopting the technical scheme, a first client label is formed through a first client label module based on the client basic data, and a second client label is formed through a second label module based on the client and enterprise cooperative product data and service data; through the fused portrait construction module, classification analysis is carried out on the clients to form attribute labels of multiple dimensions, then fused portraits based on construction of the clients, products and services are constructed, analysis is carried out from multiple data sources to form customer labels of multiple dimensions, and personalized services are favorably carried out on the clients by enterprises.
In a third aspect, the present application discloses a terminal device, which includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and when the processor loads and executes the computer program, the method for constructing a merged representation of a client, a product, and a service is adopted.
By adopting the technical scheme, the computer program is generated by the method for constructing the fusion portrait of the client, the product and the service, and is stored in the memory to be loaded and executed by the processor, so that the terminal equipment is manufactured according to the memory and the processor, and the use by a user is facilitated.
In a fourth aspect, the present application discloses a computer-readable storage medium, which adopts the following technical solutions: a computer-readable storage medium, in which a computer program is stored, which, when loaded and executed by a processor, employs the above-described method of constructing a merged representation of a client, a product and a service.
By adopting the technical scheme, the computer program is generated by the method for constructing the fusion portrait of the client, the product and the service and is stored in the computer readable storage medium so as to be loaded and executed by the processor, and the computer program can be conveniently read and stored by the computer readable storage medium.
Drawings
FIG. 1 is a flowchart of a method of steps S1-S3 of a method for building a merged representation of a customer, product and service according to an embodiment of the present application.
FIG. 2 is a flowchart illustrating a method of steps S10-S13 of a method for building a merged representation of a customer, product and service in an embodiment of the application.
FIG. 3 is a flowchart of a method of steps S30-S31 in a method of constructing a merged representation of a customer, product and service according to an embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to figures 1-3.
The embodiment of the application discloses a method for constructing a fused portrait of a client, a product and a service, and with reference to fig. 1 and 2, the method for constructing the fused portrait of the client, the product and the service comprises the following steps:
s1, forming a first customer label based on basic data of a customer company;
specifically, the customer base data includes: the business of the client company, the industry of the client company, the company production value, the personnel size, the address, the registered capital, the establishment date, the legal representative name, the contact information and the like.
S10, acquiring customer industry information based on the main business of a customer company and carrying out industry division processing on customers according to the customer industry information;
specifically, according to the national economic industry classification, the industry of a client company is divided into multiple levels, all industries are divided, such as agriculture, forestry, animal husbandry, fishery, industry, construction industry, wholesale industry, retail industry, transportation industry, warehousing industry and the like, and on the basis of the division of the industries, the industries are further refined, such as mining industry, manufacturing industry, electric power, heating power, gas and water production and supply industry and the like; the transportation industry comprises the road transportation industry, the water transportation industry, the air transportation industry, the pipeline transportation industry, the multi-mode intermodal transportation and transportation agency industry, loading and unloading transportation and the like.
And matching the industry matched with the main operation of the client company according to the main operation of the client company to serve as the industry information of the client company.
S11, comparing the average value levels of core products and technical information of the same industry based on the obtained client core products and technical data, judging the technical innovation degree of the client, scoring the innovation degree, and creating the score of the innovation degree in a first client label;
the core product and technical data comprise the number of the core products with patents of the client company and the percentage of the annual profit of the core products with patents to the annual profit of the client company, and the average level of the core products and technical information in the same industry comprises the following steps: in the same industry, the mean value of the number of patented core products and the mean value of the annual profit of the patented core products as a percentage of the annual profit of the company,
and if the number of the patented core products is larger than the mean number of the patented core products, and the annual profit of the patented core products accounts for a larger percentage of the annual profit of the company than the mean annual profit of the patented core products, judging that the innovation degree of the client company is high.
And if the number of the core products with the patents is smaller than the average number of the core products with the patents in the same industry, and the percentage of the annual profit of the core products with the patents to the annual profit of the company is smaller than the average percentage of the annual profit of the core products with the patents to the annual profit of the company, judging that the innovation degree of the client company is low.
If the number of the core products with the patents is larger than the average number of the core products with the patents in the same industry, and the percentage of the annual profit of the core products with the patents to the annual profit of the company is smaller than the average percentage of the annual profit of the core products with the patents to the annual profit of the company;
or if the number of the core products with the patents is less than the average number of the core products with the patents in the same industry, and the percentage of the annual profit of the core products with the patents to the annual profit of the company is more than the average of the annual profit of the core products with the patents to the annual profit of the company, judging that the innovation degree of the client company is medium.
S12, based on the income of the client company, comparing the income of companies in the same industry, ranking the clients, and creating the client ranking in a first client label;
specifically, the division of large, medium and small micro-enterprises is performed on client companies according to business income, and the division standard is according to a statistical large, medium and small micro-enterprise division method (2017) issued by the State statistics Bureau.
S13, determining the influence of the client company in the same industry and scoring the influence based on the client participation industry key project data and standard formulation data, and creating the influence score in a first client label;
wherein the industry key project data is the number of related projects of province, city and national level of enterprise participation, the standard specified data can be the number of enterprises participating in national standard, industry standard, group standard, local standard and the like, the sum of the industry key project number and the enterprise standard specified data is compared with the average value of the sum of the industry key project number and the enterprise standard specified data of the same industry company,
if the sum of the customer participating industry key project data and the standard making data is larger than the average value of the sum of the industry key project quantity of the company in the same industry and the enterprise standard designated data, judging that the industry influence of the customer company is high; if the sum of the customer participating industry key project data and the standard making data is smaller than the average value of the sum of the industry key project quantity of the company in the same industry and the enterprise standard designated data, judging that the industry influence of the customer company is low; and if the sum of the important project data and the standard making data of the client participating in the industry is equal to the average value of the sum of the important project quantity of the industry of the company with the same industry and the specified data of the enterprise standard, judging that the industry influence of the client company is moderate.
S2, forming a second client label based on product data and service data of cooperation of the client and the enterprise;
associating data between the client company and products and services purchased by the client company in the enterprise collaboration records collaboration and product data and service data in the second client tag to reduce the push of the collaborative products and services to the client company.
And S3, classifying and analyzing the customers based on the product data and the service data of the enterprise by combining the first customer label and the second customer label to form attribute labels with different dimensions, and constructing a fused portrait by the attribute labels, wherein the fused portrait comprises a customer portrait formed by fusing multi-dimensional attribute labels.
S30, matching enterprise products and services related to innovation based on the innovation degree score to form an attribute label of the technical innovation;
the enterprise products and services related to innovation comprise intellectual property businesses related to patent business, software copyright business and the like, and according to the grade of the innovation degree of the customer, the grade improvement degree of the customer after purchasing the enterprise products and services related to the innovation is predicted by matching the enterprise products and services related to the innovation.
S31, matching enterprise products and services related to financing based on the client ranking to form an attribute label of the market;
the enterprise products and services related to financing comprise client company valuation assistance, business plan writing assistance, investment agreement signing related legal business assistance and the like, the enterprise products and services related to financing are matched according to the client company ranking, and the client is favorable for improving the ranking of the client in the same industry after purchasing the enterprise products related to matching and innovation.
The implementation principle of the method for constructing the fusion portrait of the client, the product and the service is as follows: the method comprises the steps of classifying and analyzing clients to form attribute tags with multiple dimensions through a first client tag formed by combining client basic data and a second client tag formed by combining client and enterprise cooperative product data and service data, further constructing a fusion portrait based on construction of the clients, the products and the services, visually and conveniently displaying the client portrait constructed by the client tags with the multiple dimensions, analyzing the client portrait formed by comparing the client portrait with a client portrait formed by a single data source from the multiple data sources, and facilitating the enterprise to perform personalized service on the clients.
The embodiment of the application also discloses a device for constructing the fused portrait of the client, the product and the service, and the method for constructing the fused portrait of the client, the product and the service comprises a first client label module, a second client label module and a third client label module, wherein the first client label module is used for forming a first client label based on the basic data of a client company; the second client label module is used for forming a second client label based on product data and service data of cooperation of clients and enterprises; and the fusion portrait construction module is used for classifying and analyzing the clients based on product data and service data of enterprises and by combining the first client tag and the second client tag to form attribute tags with different dimensions, and constructing the fusion portrait through a plurality of attribute tags.
The implementation principle of the device for constructing the fused portrait of the client, the product and the service is as follows: forming a first client label through a first client label module based on the client basic data, and forming a second client label through a second label module based on the client and enterprise cooperative product data and service data; through the fusion portrait construction module, classification analysis is carried out on the client to form attribute labels of multiple dimensions, then a fusion portrait based on construction of the client, the product and the service is constructed, the fusion portrait is a client portrait formed by fusion of the multi-dimension attribute labels, the fusion portrait visually and conveniently shows the client portrait constructed by the client labels of the multiple dimensions, the client portrait formed by the client labels of the multiple dimensions is compared with the client portrait formed by a single data source, analysis is carried out from the multiple data sources, and the enterprise is facilitated to carry out personalized service on the client.
The embodiment of the application further discloses a terminal device, which comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the method for constructing the fused representation of the client, the product and the service of the embodiment is adopted when the processor executes the computer program.
The terminal device may adopt a computer device such as a desktop computer, a notebook computer, or a cloud server, and the terminal device includes but is not limited to a processor and a memory, for example, the terminal device may further include an input/output device, a network access device, a bus, and the like.
The processor may be a Central Processing Unit (CPU), and of course, according to an actual use situation, other general processors, digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), ready-made programmable gate arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like may also be used, and the general processor may be a microprocessor or any conventional processor, and the application does not limit the present invention.
The memory may be an internal storage unit of the terminal device, for example, a hard disk or a memory of the terminal device, or an external storage device of the terminal device, for example, a plug-in hard disk, a Smart Memory Card (SMC), a secure digital card (SD) or a flash memory card (FC) equipped on the terminal device, and the memory may also be a combination of the internal storage unit of the terminal device and the external storage device, and the memory is used for storing a computer program and other programs and data required by the terminal device, and the memory may also be used for temporarily storing data that has been output or will be output, which is not limited in this application.
The method for constructing the fused representation of the client, the product and the service is stored in the memory of the terminal equipment through the terminal equipment, and is loaded and executed on the processor of the terminal equipment, so that the terminal equipment is convenient for a user to use.
The embodiment of the application also discloses a computer readable storage medium, and the computer readable storage medium stores a computer program, wherein when the computer program is executed by a processor, the method for constructing the fusion portrait of the client, the product and the service is adopted.
The computer program may be stored in a computer readable medium, the computer program includes computer program code, the computer program code may be in a source code form, an object code form, an executable file or some intermediate form, and the like, the computer readable medium includes any entity or device capable of carrying the computer program code, a recording medium, a usb disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a Read Only Memory (ROM), a Random Access Memory (RAM), an electrical carrier signal, a telecommunication signal, a software distribution medium, and the like, and the computer readable medium includes but is not limited to the above components.
The method for constructing the fused representation of the customer, the product and the service of the embodiment is stored in the computer-readable storage medium through the computer-readable storage medium, and is loaded and executed on the processor, so that the storage and the application of the method for constructing the fused representation of the customer, the product and the service are facilitated.
The foregoing is a preferred embodiment of the present application and is not intended to limit the scope of the application in any way, and any features disclosed in this specification (including the abstract and drawings) may be replaced by alternative features serving equivalent or similar purposes, unless expressly stated otherwise. That is, unless expressly stated otherwise, each feature is only an example of a generic series of equivalent or similar features.
Claims (10)
1. The method for constructing the fusion portrait of the client, the product and the service is characterized by comprising the following steps of:
forming a first customer label based on customer company base data;
forming a second client label based on product data and service data of the cooperation of the client and the enterprise;
based on product data and service data of enterprises, the first customer label and the second customer label are combined to classify and analyze customers to form attribute labels with different dimensions, and a fused portrait is constructed through the attribute labels, wherein the fused portrait comprises a customer portrait formed by fusing multi-dimensional attribute labels.
2. A method of constructing a merged representation of a customer, product and service as recited in claim 1, wherein: the step of forming a first customer label based on the customer company basic data comprises the following steps:
based on the main business in the basic data of the client company, the client industry information is obtained and the industry division processing is carried out on the client according to the client industry information.
3. A method for building a merged representation of a customer, product and service as recited in claim 2, wherein: the step of forming a first customer label based on the customer company basic data comprises the following steps:
and comparing the average value levels of the core products and the technical information of the same industry based on the obtained client core products and the technical data, judging the technical innovation degree of the client, scoring the innovation degree, and creating the score of the innovation degree in the first client label.
4. The method of constructing a merged representation of a customer, product and service of claim 2, wherein: the step of forming a first customer label based on the customer company basic data comprises the following steps:
and based on the income of the client company, comparing the income of the company in the same industry, ranking the clients, and creating the client ranking in the first client label.
5. A method for building a merged representation of a customer, product and service as recited in claim 2, wherein: the step of forming a first customer label based on the customer company basic data comprises the following steps:
and determining the influence of the client company in the same industry based on the client participation industry key project data and the standard formulation data, grading the influence, and creating the influence grade in the first client label.
6. A method of constructing a merged representation of a customer, product and service as recited in claim 3, wherein: the step of classifying and analyzing the customers based on the product data and the service data of the enterprise by combining the first customer label and the second customer label to form a plurality of attribute labels with different dimensions, and constructing the fused portrait through the plurality of attribute labels comprises the following steps:
and matching enterprise products and services related to innovation based on the innovation degree score to form an attribute label of the technical innovation.
7. The method of constructing a merged representation of a customer, product and service of claim 4, wherein: the step is based on product data and service data of enterprises, and combines the first customer label and the second customer label to classify and analyze customers, so as to form a plurality of attribute labels with different dimensions, and a fusion portrait is constructed through the attribute labels, and the method comprises the following steps:
and matching enterprise products and services associated with financing based on the client ranking to form attribute labels of the market.
8. An apparatus for constructing a merged representation of a customer, product and service, using the method of constructing a merged representation of a customer, product and service of any one of claims 1-7, comprising:
a first customer tag module for forming a first customer tag based on customer company base data;
the second client label module is used for forming a second client label based on product data and service data of cooperation of clients and enterprises;
and the fusion portrait construction module is used for classifying and analyzing the customers based on the product data and the service data of the enterprises and combining the first customer label and the second customer label to form attribute labels with different dimensions, and constructing the fusion portrait through a plurality of attribute labels.
9. Terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor, when loading and executing the computer program, is adapted to use the method of constructing a merged representation of a client, a product and a service as claimed in any one of the claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored, which, when loaded and executed by a processor, carries out the method of constructing a merged representation of a customer, product and service according to any one of claims 1 to 7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117408531A (en) * | 2023-10-26 | 2024-01-16 | 北京赛博数智科技有限公司 | Customer information management method and system for intelligent big data matching |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117408531A (en) * | 2023-10-26 | 2024-01-16 | 北京赛博数智科技有限公司 | Customer information management method and system for intelligent big data matching |
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