CN112200615A - Digital marketing service system based on big data - Google Patents
Digital marketing service system based on big data Download PDFInfo
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- CN112200615A CN112200615A CN202011121091.6A CN202011121091A CN112200615A CN 112200615 A CN112200615 A CN 112200615A CN 202011121091 A CN202011121091 A CN 202011121091A CN 112200615 A CN112200615 A CN 112200615A
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Abstract
The invention discloses a big data-based digital marketing service system, which comprises a user side, a marketing service side, a line lower end and a database, wherein the user side comprises the following components: the user side is used for obtaining customer data and establishing an online experience channel, the marketing service side is composed of a marketing platform and a service platform, the marketing platform is used for making a product marketing plan which accords with customers, the service platform is used for carrying out reasonable management service on the customers, the online lower end is used for establishing an offline comprehensive marketing service channel for the customers, the cognition degree of the customers on product brands is enlarged, and the database is used for obtaining and analyzing the consumption habits of the customers. According to the invention, the marketing service system can formulate a plan meeting marketing and service of the client according to the personalized requirements of the client, and realize intercommunication and interconnection between products and the client by combining diversified modes of online browsing and offline experience, thereby improving the acceptance of the client to product brands, and further realizing better and more perfect marketing service effect for the client.
Description
Technical Field
The invention relates to the technical field of marketing service, in particular to a digital marketing service system based on big data.
Background
The digital marketing is a marketing mode for realizing a marketing target by means of an internet, a computer communication technology and a digital interactive medium, the digital marketing utilizes an advanced computer network technology as much as possible, and consummates development of a new market and mining of a new consumer most effectively and cheapest, under the prospect that current network big data is gradually developed, more and more industries begin to adopt digital marketing to popularize and market products per se, diversified selections are given to customers, consumption requirements of the customers are met, and accordingly good balance between marketing services and the customers is achieved.
When the existing marketing service system realizes the intercommunication between products and clients, a targeted channel cannot be established with product brands according to the personalized requirements of different clients, so that the product brands cannot give the best experience to the clients comprehensively and accurately, the recognition degree of the clients to the product brands cannot be improved, the consumption desire of the clients cannot be stimulated, and the marketing service of the products is not facilitated.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a digital marketing service system based on big data, which can perform personalized marketing service aiming at different customers, improve the recognition degree of the customers to brands and increase the consumption desire of the customers.
In order to achieve the purpose, the invention adopts the following technical scheme: a big data-based digital marketing service method comprises the following steps:
s1: the user side acquires and records consumption and service demand data of the client and provides the client with a smooth experience channel;
s2: the marketing service side analyzes the demand data of the customer, establishes the relation with the database, and formulates a marketing service strategy according with the rules of the marketing service under the data support of big data;
s3: aiming at different requirements of different customers, the method provides visual and accurate product experience for the customers and provides comprehensive and individual consumption service for the customers;
s4: the offline end provides an offline channel of the marketing service strategy for potential customers, and direct communication between marketing service personnel and the customers is realized.
As a further description of the above technical solution:
in the step S2, the rules for the marketing service policy include the following two aspects:
(A) the method comprises the following steps Mining the psychological needs of the customers, acquiring and analyzing the consumption habits of the customers, and making a marketing service plan which accords with the customers;
(B) the method comprises the following steps The method mainly highlights the correlation between the core value of the product and the client, improves the recognition degree of the client to the product brand, and creates the mutual integration between the product and the client.
A digital marketing service system based on big data comprises a user side, a marketing service side, a line end and a database:
the user side is used for acquiring and recording relevant data information of a client and establishing a primary experience channel between the user and a product;
the marketing service end consists of a marketing platform and a service platform, the marketing platform is used for making a product marketing plan which meets the customers aiming at different requirements of different customers, and the service platform is used for carrying out reasonable management service on the customers and meeting the service requirements of the customers;
the lower end of the line is used for establishing an offline comprehensive marketing service channel for the client, so that the cognition degree of the client on the product brand is expanded, and the consumption of the client is improved;
the database is used for connecting the Internet, and acquiring and analyzing the consumption habits of customers on the basis of big data, so that the improvement of the marketing service system is promoted.
As a further description of the above technical solution:
the user side comprises an information input module, an online preview module and a personalized record module;
the information input module is used for inputting relevant member information, consumption information and service information of a client and acquiring all relevant basic data of the client;
the online preview module is used for providing a channel for a customer to experience a product primarily, and helping the customer to know the core value of a product brand quickly and efficiently;
the personalized record module is used for recording personalized data of different customers and providing necessary data support for subsequent personalized marketing service strategies.
As a further description of the above technical solution:
the marketing platform comprises a one-key matching module, a personalized configuration module and a virtual experience module;
the one-key matching module is used for automatically generating a marketing service strategy meeting the customer requirements according to the past consumption requirements of customers and the core value of the product;
the personalized configuration module is used for aiming at the personalized consumption requirements of customers and combining the core value of the product to automatically generate a marketing service strategy meeting the requirements of the customers;
the virtual experience module is used for providing visual and accurate on-line virtual body jar channels of product brands for the customers, perfecting the cognition of the customers on the product brands and improving the consumption desire of the customers.
As a further description of the above technical solution:
the service platform comprises an appointment management module, a feedback recording module and a brand promotion module;
the reservation management module is used for screening clients reserved on line, distinguishing member clients and non-member clients and realizing corresponding management of the clients;
the feedback recording module is used for recording the requirement information of the client and receiving the marketing service strategy of the marketing service end to realize the intercommunication between the client and the brand merchant;
the brand promotion module is used for promoting the core value of products and brands and improving the recognition degree of the product brands in the client psychology.
As a further description of the above technical solution:
the lower end of the line comprises a client docking module, a scheme making module and a recording and tracking module;
the client docking module is used for offline docking communication between the store and the client, so that the client can directly perform marketing service personnel and products to meet the requirements of the client;
the scheme making module is used for making a final marketing service scheme meeting the requirements of customers by the shop at front according to a marketing service strategy and by combining comprehensive consideration of the shop at home and the actual customers;
the record tracking module is used for recording each influence service data left and generated by the store customer and providing necessary data reference for the marketing service in the later period.
As a further description of the above technical solution:
the database comprises a storage record module and an updating and supplementing module;
the storage recording module is used for storing all data generated by the user side, the lower line end and the influence server side during intercommunication, recording the data in the database and intercommunicating and interconnecting the data based on the big data of the Internet;
the updating and supplementing module is used for updating the original data in the database in real time and supplementing the incomplete data in the database through the marketing service process of the client, so that the comprehensive integrity of the data in the database is ensured.
The invention provides a digital marketing service system based on big data. The method has the following beneficial effects:
the marketing service system can formulate a plan meeting marketing and service of a client according to the personalized requirements of the client, and combines diversified modes of online browsing and offline experience to realize intercommunication interconnection between product brands and the client, improve the recognition degree of the client to the product brands, increase the consumption desire of the client, and further realize better and more perfect marketing service effect to the client.
Drawings
Fig. 1 is a schematic structural diagram of a big data-based digital marketing service system according to the present invention;
fig. 2 is a schematic diagram of a user terminal according to the present invention;
FIG. 3 is a schematic diagram of a marketing platform of the present invention;
FIG. 4 is a schematic diagram of a service platform of the present invention;
FIG. 5 is a schematic view of the lower end of the present invention;
FIG. 6 is a diagram of a database according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
A big data-based digital marketing service method comprises the following steps:
s1: the user side acquires and records consumption and service demand data of the client and provides the client with a smooth experience channel;
s2: the marketing service side analyzes the demand data of the customer, establishes the relation with the database, and formulates a marketing service strategy according with the rules of the marketing service under the data support of big data;
s3: aiming at different requirements of different customers, the method provides visual and accurate product experience for the customers and provides comprehensive and individual consumption service for the customers;
s4: the offline end provides an offline channel of the marketing service strategy for potential customers, and direct communication between marketing service personnel and the customers is realized.
In step S2, the rules for the marketing service policy include the following two aspects:
(A) the method comprises the following steps Mining the psychological needs of the customers, acquiring and analyzing the consumption habits of the customers, and making a marketing service plan which accords with the customers;
(B) the method comprises the following steps The method mainly highlights the correlation between the core value of the product and the client, improves the recognition degree of the client to the product brand, and creates the mutual integration between the product and the client.
As shown in fig. 1, a digital marketing service system based on big data includes a user side, a marketing service side, a line side and a database:
the user side is used for acquiring and recording relevant data information of a client and establishing a primary experience channel between the user and a product;
the marketing service end consists of a marketing platform and a service platform, the marketing platform is used for making a product marketing plan which meets the customers aiming at different requirements of different customers, and the service platform is used for carrying out reasonable management service on the customers and meeting the service requirements of the customers;
the online lower end is used for establishing an offline comprehensive marketing service channel for the client, so that the cognition degree of the client on the product brand is expanded, and the consumption of the client is improved;
the database is used for connecting the Internet, and acquiring and analyzing the consumption habits of customers on the basis of the big data, so that the improvement of the marketing service system is promoted.
The marketing service system can formulate and meet marketing and service plans of clients according to personalized demands of the clients, and combines diversified modes of online browsing and offline experience to realize intercommunication and interconnection between product brands and the clients, improve the recognition degree of the clients to the product brands, increase consumption desire of the clients, and realize better and more perfect marketing service effect to the clients.
As shown in fig. 2, the user side includes an information entry module, an online preview module, and a personality recording module;
the information input module is used for inputting the relevant member information, consumption information and service information of the client and acquiring all relevant basic data of the client;
the online preview module is used for providing a channel for a customer to experience a product primarily, and helping the customer to know the core value of a product brand quickly and efficiently;
the personalized record module is used for recording personalized data of different customers and providing necessary data support for subsequent personalized marketing service strategies.
As shown in fig. 3, the marketing platform includes a one-key matching module, a personalized configuration module, and a virtual experience module;
the one-key matching module is used for automatically generating a marketing service strategy meeting the customer requirements according to the past consumption requirements of customers and the core value of the product;
the personalized configuration module is used for aiming at the personalized consumption requirements of the customers and combining the core value of the product to automatically generate a marketing service strategy meeting the requirements of the customers;
the virtual experience module is used for providing visual and accurate on-line virtual body jar channels of product brands for customers, perfecting the cognition of the customers on the product brands and improving the consumption desire of the customers.
As shown in fig. 4, the service platform includes a reservation management module, a feedback recording module, and a branding module;
the reservation management module is used for screening clients reserved on line, distinguishing member clients and non-member clients and realizing corresponding management of the clients;
the feedback recording module is used for recording the requirement information of the client and receiving the marketing service strategy of the marketing service end to realize the intercommunication between the client and the brand merchant;
the brand promotion module is used for promoting the core value of products and brands and improving the recognition degree of the product brands in the client psychology.
As shown in fig. 5, the offline end includes a customer docking module, a scenario making module, and a record tracking module;
the client docking module is used for offline docking communication between the store and the client, so that the client can directly perform marketing service personnel and products to meet the requirements of the client;
the scheme making module is used for making a final marketing service scheme according with the customer requirements by the shop according to the marketing service strategy and by combining the comprehensive consideration of the shop and the actual customer;
the record tracking module is used for recording each influence service data left and generated by the store client, and providing necessary data reference for the marketing service in the later period.
As shown in fig. 6, the database includes a storage record module and an update supplement module;
the storage recording module is used for storing all data generated by the user side, the lower line end and the influence service side during intercommunication, recording the data in the database and intercommunicating and interconnecting the data based on the big data of the Internet;
the updating and supplementing module is used for updating the original data in the database in real time and supplementing the incomplete data in the database through the marketing service process of the client, so that the comprehensive integrity of the data in the database is ensured.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (8)
1. A digital marketing service method based on big data is characterized by comprising the following steps:
s1: the user side acquires and records consumption and service demand data of the client and provides the client with a smooth experience channel;
s2: the marketing service side analyzes the demand data of the customer, establishes the relation with the database, and formulates a marketing service strategy according with the rules of the marketing service under the data support of big data;
s3: aiming at different requirements of different customers, the method provides visual and accurate product experience for the customers and provides comprehensive and individual consumption service for the customers;
s4: the offline end provides an offline channel of the marketing service strategy for potential customers, and direct communication between marketing service personnel and the customers is realized.
2. The big data-based digital marketing service method according to claim 1, wherein: in the step S2, the rules for the marketing service policy include the following two aspects:
(A) the method comprises the following steps Mining the psychological needs of the customers, acquiring and analyzing the consumption habits of the customers, and making a marketing service plan which accords with the customers;
(B) the method comprises the following steps The method mainly highlights the correlation between the core value of the product and the client, improves the recognition degree of the client to the product brand, and creates the mutual integration between the product and the client.
3. The utility model provides a digital marketing service system based on big data, includes user, marketing service end, line lower extreme and database, its characterized in that:
the user side is used for acquiring and recording relevant data information of a client and establishing a primary experience channel between the user and a product;
the marketing service end consists of a marketing platform and a service platform, the marketing platform is used for making a product marketing plan which meets the customers aiming at different requirements of different customers, and the service platform is used for carrying out reasonable management service on the customers and meeting the service requirements of the customers;
the lower end of the line is used for establishing an offline comprehensive marketing service channel for the client, so that the cognition degree of the client on the product brand is expanded, and the consumption of the client is improved;
the database is used for connecting the Internet, and acquiring and analyzing the consumption habits of customers on the basis of big data, so that the improvement of the marketing service system is promoted.
4. The big-data-based digital marketing service system according to claim 3, wherein: the user side comprises an information input module, an online preview module and a personalized record module;
the information input module is used for inputting relevant member information, consumption information and service information of a client and acquiring all relevant basic data of the client;
the online preview module is used for providing a channel for a customer to experience a product primarily, and helping the customer to know the core value of a product brand quickly and efficiently;
the personalized record module is used for recording personalized data of different customers and providing necessary data support for subsequent personalized marketing service strategies.
5. The big-data-based digital marketing service system according to claim 3, wherein: the marketing platform comprises a one-key matching module, a personalized configuration module and a virtual experience module;
the one-key matching module is used for automatically generating a marketing service strategy meeting the customer requirements according to the past consumption requirements of customers and the core value of the product;
the personalized configuration module is used for aiming at the personalized consumption requirements of customers and combining the core value of the product to automatically generate a marketing service strategy meeting the requirements of the customers;
the virtual experience module is used for providing visual and accurate on-line virtual body jar channels of product brands for customers, and perfecting the cognition of the customers on the product brands.
6. The big-data-based digital marketing service system according to claim 3, wherein: the service platform comprises an appointment management module, a feedback recording module and a brand promotion module;
the reservation management module is used for screening clients reserved on line and distinguishing member clients and non-member clients;
the feedback recording module is used for recording the demand information of the client of the user terminal and receiving the marketing service strategy of the marketing service terminal;
the brand promotion module is used for promoting the core value of products and brands.
7. The big-data-based digital marketing service system according to claim 3, wherein: the lower end of the line comprises a client docking module, a scheme making module and a recording and tracking module;
the customer docking module is used for offline docking communication between the store and the customer, so that the customer can directly perform marketing service personnel and products;
the scheme making module is used for making a final marketing service scheme meeting the requirements of customers by the shop at front according to a marketing service strategy and by combining comprehensive consideration of the shop at home and the actual customers;
the record tracking module is used for recording each influence service data left and generated by the store customer and providing necessary data reference for the marketing service in the later period.
8. The big-data-based digital marketing service system according to claim 3, wherein: the database comprises a storage record module and an updating and supplementing module;
the storage recording module is used for storing all data generated by the user side, the lower line end and the influence server side during intercommunication, recording the data in the database and intercommunicating and interconnecting the data based on the big data of the Internet;
and the updating and supplementing module is used for updating the original data in the database in real time and supplementing the incomplete data in the database through the marketing service process of the client.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011121091.6A CN112200615A (en) | 2020-10-20 | 2020-10-20 | Digital marketing service system based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011121091.6A CN112200615A (en) | 2020-10-20 | 2020-10-20 | Digital marketing service system based on big data |
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| CN112200615A true CN112200615A (en) | 2021-01-08 |
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| CN202011121091.6A Withdrawn CN112200615A (en) | 2020-10-20 | 2020-10-20 | Digital marketing service system based on big data |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114155030A (en) * | 2021-11-30 | 2022-03-08 | 惠州市鑫吉顺电子实业有限公司 | Multidimensional sharing service platform based on big data and marketing management system |
| CN114971732A (en) * | 2022-06-07 | 2022-08-30 | 北京天德科技有限公司 | NFR-based digital product and brand promotion method directly reaching consumers |
-
2020
- 2020-10-20 CN CN202011121091.6A patent/CN112200615A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114155030A (en) * | 2021-11-30 | 2022-03-08 | 惠州市鑫吉顺电子实业有限公司 | Multidimensional sharing service platform based on big data and marketing management system |
| CN114971732A (en) * | 2022-06-07 | 2022-08-30 | 北京天德科技有限公司 | NFR-based digital product and brand promotion method directly reaching consumers |
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Application publication date: 20210108 |
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