CN114445134A - Big data marketing method, device and medium - Google Patents
Big data marketing method, device and medium Download PDFInfo
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- CN114445134A CN114445134A CN202210070154.2A CN202210070154A CN114445134A CN 114445134 A CN114445134 A CN 114445134A CN 202210070154 A CN202210070154 A CN 202210070154A CN 114445134 A CN114445134 A CN 114445134A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0202—Market predictions or forecasting for commercial activities
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/02—Banking, e.g. interest calculation or account maintenance
Abstract
The invention relates to the technical field of electronics and information, and particularly provides a big data marketing method.A marketing system is connected with a data platform of an existing bank client system, collects enterprise information data, and simultaneously gathers internet collected data, public data and enterprise self-reported data to form a marketing system database; and performing portrayal for the enterprise users based on the enterprise information data in the database. Compared with the prior art, the method and the system have the advantages that the marketing data of the bank outlets are analyzed, the intelligent decision of the bank marketing strategy is realized, and the comprehensive competitiveness of the bank is comprehensively improved.
Description
Technical Field
The invention relates to the technical field of electronics and information, and particularly provides a big data marketing method, a big data marketing device and a big data marketing medium.
Background
With the rapid development of the internet, the deep integration of the numbers and the work and life of people is realized, and the data volume of the users is increased explosively.
The big data marketing is based on user data, and enterprise images and market dynamic monitoring and prediction are carried out through technologies such as big data acquisition, treatment, analysis and artificial intelligence, so that the digital office, intelligent service, active marketing and other digital transformation of a bank are realized.
The traditional marketing system of the bank at present has the following shortcomings:
(1) the system lacks full enterprise data, cannot meet the requirements of marketing activities on the large, full, fine and time enterprise data, cannot cover more target client groups, and cannot grasp incremental client changes in time.
(2) The systematic label data is not formed, so that the client has inaccurate insights and cannot accurately screen target client groups, and once the user label cannot correspond to or deviate from a specific requirement in the business practice of digital marketing, the execution effect is inevitably reduced greatly.
(3) The digital marketing is weak, the system can not obtain enterprise images, marketing activities are not accurate enough, sales volume is improved only by means of man-sea tactics, sales cost and labor cost are increased, item feeding conversion rate is low, and achievement growth is slow.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a big data marketing method with strong practicability.
The invention further aims to provide a big data marketing device which is reasonable in design, safe and applicable.
It is a further technical task of the present invention to provide a computer readable medium.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a big data marketing method, the marketing system links with customer's systematic data platform of existing bank, gather the enterprise information data, gather Internet and gather data, open data and enterprise's self-reported data and form the marketing system database at the same time; and performing portrayal for enterprise users based on enterprise information data in the database.
Further, the method comprises the following steps:
s1, marketing map;
s2, customer screening;
s3, business opportunity management;
and S4, operation management.
Further, in step S1, by accessing the number of bank clients, the internet collected data, the public data, and the enterprise self-reported data, the data information of the business enterprises and the individual industrial and commercial businesses in the service area of the bank outlets is obtained, the marketing map is used, the business outlets, the business circles, or the specific places are selected, the search radius is pulled, the total number of the enterprises is inquired and obtained, and the potential clients are expanded based on the total number of label systems and the effective contact information.
Further, in step S2, based on the enterprise information data, a detailed user tag system is constructed for the marketer to locate and depict the customer group.
Further, in step S3, the customer manager learns the customer financing requirements through contact information, creates business opportunities through the system, updates the marketing records in real time, marks the marketing records by one key, stores and analyzes the relevant data, and implements closed-loop iteration.
Further, in step S4, the marketing data is counted, and the change trend of the monthly progress quantity, the change trend of the monthly business opportunity quantity, and the business industry of the business is analyzed to dynamically reflect the business opportunity.
A big data marketing apparatus, comprising: at least one memory and at least one processor;
the at least one memory to store a machine readable program;
the at least one processor is used for calling the machine readable program and executing a big data marketing method.
A computer readable medium having stored thereon computer instructions which, when executed by a processor, cause the processor to perform a big data marketing method.
Compared with the prior art, the big data marketing method, the big data marketing device and the big data marketing medium have the following outstanding beneficial effects:
the system has the advantages of intelligently acquiring customers and keeping customers, acquiring regional customer information through internet big data, accurately screening target customers through building enterprise user tags, providing humanized and differentiated services, strengthening active marketing of banks, reducing customer acquisition cost and improving service efficiency and quality of the banks. By analyzing the marketing data of the bank outlets, the intelligent decision of the bank marketing strategy is realized, and the comprehensive competitiveness of the bank is comprehensively improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a logic diagram of a big data marketing method;
FIG. 2 is an architectural diagram of a big data marketing method.
Detailed Description
The present invention will be described in further detail with reference to specific embodiments in order to better understand the technical solutions of the present invention. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
A preferred embodiment is given below:
as shown in fig. 1-2, in the big data marketing method in this embodiment, a marketing system is connected to a data platform of an existing bank client system, collects enterprise information data, and simultaneously aggregates internet collected data, public data and enterprise self-reported data to form a marketing system database; and performing portrayal for enterprise users based on enterprise information data in the database.
Comprises the following steps:
s1, marketing map:
the system acquires data information of enterprises in operation and individual industrial and commercial enterprises in a bank branch service area by accessing bank customer system number, internet collected data, government public data and enterprise self-reported data, inquires and acquires a whole number of enterprises by utilizing a marketing map and self-selecting business branches, business circles or specific places and pulling a search radius, and then accurately expands potential customers and reduces customer acquisition cost based on a whole number label system and effective contact information.
S2, customer screening:
the system is based on enterprise information data, and a comprehensive and detailed user label system is set up from five large faces of enterprise basic information, operation information, risk information, characteristic information and contact information, is used for marketers to locate and depict client groups, realizes accurate marketing and improves marketing efficiency.
S3, business opportunity management:
a customer manager knows the financing requirements of customers through contact information such as mobile phone numbers, fixed telephones, mailboxes, enterprise addresses and websites, creates business opportunities through the system, updates marketing records in real time, marks the marketing records by one key, realizes the conversion and feeding effects of various network points, various regions and different channels, stores and analyzes related data, realizes closed-loop iteration, and assists a bank to continuously optimize marketing services and accelerate business opportunity conversion.
S4, operation management:
the system statistically displays marketing data such as the number of input articles, the number of input articles ranking, the network conversion rate ranking and the market conversion rate ranking of cities and cities in cities and cities of banks, analyzes the monthly number of input articles variation trend, the monthly business opportunity number variation trend and the business industry of input articles, dynamically reflects recent business opportunities, input articles and conversion conditions, and assists in bank intelligent marketing decisions.
A big data marketing apparatus, comprising: at least one memory and at least one processor;
the at least one memory to store a machine readable program;
the at least one processor is used for calling the machine readable program and executing a big data marketing method.
A computer readable medium having stored thereon computer instructions which, when executed by a processor, cause the processor to perform a big data marketing method.
The above embodiments are only specific ones of the present invention, and the scope of the present invention includes but is not limited to the above embodiments, and any suitable changes or substitutions that are consistent with the claims of a big data marketing method, apparatus and medium of the present invention and are made by those skilled in the art should fall within the scope of the present invention.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. A big data marketing method is characterized in that a marketing system is connected with a data platform of an existing bank client system, enterprise information data are collected, and meanwhile, internet collected data, public data and enterprise self-reported data are gathered to form a marketing system database; and performing portrayal for enterprise users based on enterprise information data in the database.
2. The big data marketing method according to claim 1, characterized by comprising the following steps:
s1, marketing map;
s2, customer screening;
s3, business opportunity management;
and S4, operation management.
3. The big data marketing method according to claim 2, wherein in step S1, the data information of the business enterprises and the individual industrial businesses in the service area of the bank outlets is obtained by accessing the number of the bank client systems, the data collected by the internet, the public data and the enterprise self-reported data, the marketing map is used, the business outlets, the business circles or the specific places are selected by self, the search radius is pulled, the whole number of the business enterprises are inquired and obtained, and the potential clients are expanded based on the whole number of the label systems and the effective contact information.
4. The big data marketing method according to claim 3, wherein in step S2, a detailed user tag system is constructed based on the enterprise information data, and is used for marketers to locate and depict the customer groups.
5. The big data marketing method of claim 4, wherein in step S3, the customer manager learns the customer financing requirements through contact information, creates a business through the system, updates the marketing records in real time, marks the marketing records one-key, stores and analyzes the relevant data, and realizes closed loop iteration.
6. The big data marketing method according to claim 5, wherein in step S4, the marketing data is counted, and the change trend of the number of monthly entries, the change trend of the number of monthly business opportunities, and the business industry of entering the piece are analyzed to dynamically reflect the business opportunities.
7. A big data marketing apparatus, comprising: at least one memory and at least one processor;
the at least one memory to store a machine readable program;
the at least one processor, configured to invoke the machine readable program, to perform the method of any of claims 1 to 6.
8. A computer readable medium having stored thereon computer instructions which, when executed by a processor, cause the processor to perform the method of any of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202210070154.2A CN114445134A (en) | 2022-01-21 | 2022-01-21 | Big data marketing method, device and medium |
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| CN202210070154.2A CN114445134A (en) | 2022-01-21 | 2022-01-21 | Big data marketing method, device and medium |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116645119A (en) * | 2023-04-14 | 2023-08-25 | 江苏相实网络科技有限公司 | Marketing and passenger obtaining method based on big data |
| CN117333275A (en) * | 2023-10-12 | 2024-01-02 | 中国农业银行股份有限公司江苏省分行 | Marketing platform construction method based on big data |
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2022
- 2022-01-21 CN CN202210070154.2A patent/CN114445134A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116645119A (en) * | 2023-04-14 | 2023-08-25 | 江苏相实网络科技有限公司 | Marketing and passenger obtaining method based on big data |
| CN117333275A (en) * | 2023-10-12 | 2024-01-02 | 中国农业银行股份有限公司江苏省分行 | Marketing platform construction method based on big data |
| CN117333275B (en) * | 2023-10-12 | 2024-03-19 | 中国农业银行股份有限公司江苏省分行 | Marketing platform construction method based on big data |
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