KR20150056989A - CRM apparatus and CRM system for supporting user's design of marketing strategy and method thereof - Google Patents
CRM apparatus and CRM system for supporting user's design of marketing strategy and method thereof Download PDFInfo
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- KR20150056989A KR20150056989A KR1020130139726A KR20130139726A KR20150056989A KR 20150056989 A KR20150056989 A KR 20150056989A KR 1020130139726 A KR1020130139726 A KR 1020130139726A KR 20130139726 A KR20130139726 A KR 20130139726A KR 20150056989 A KR20150056989 A KR 20150056989A
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- log
- processing logic
- policy
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2282—Tablespace storage structures; Management thereof
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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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
- H04L41/5061—Network service management, e.g. ensuring proper service fulfilment according to agreements characterised by the interaction between service providers and their network customers, e.g. customer relationship management
- H04L41/5064—Customer relationship management
Abstract
Description
The present invention relates to a customer relationship management technology, and relates to a customer relationship management apparatus, a customer relationship management system, and a customer relationship management system that provide a design of a marketing policy to which data classification and extraction conditions are dynamically applied by a user to data of customer relationship management Management method.
The company collects the log data and the personal information of the customer who responded to the service provided to the customer and stores it as CRM data. Target data is extracted when various processing logic based on marketing policy is applied to CRM data.
The marketing policy defines how to obtain the objective data from the CRM data. The processing logic corresponds to information including an object of data, classification criteria, and conditions. The target data is the final product of a customer, a product or the like to be extracted by a marketing policy, and is targeted for marketing. Obviously, the more effectively marketing policies are established, the more effective the objective data is extracted from the CRM data, which can maximize the company's profit and customer satisfaction.
Therefore, the manager tries various marketing policies against collected CRM data. The process of marketing policy involves a process of changing and applying the processing logic. This is to dynamically design a marketing policy that enables managers to apply effective processing data to CRM data while extracting effective objective data.
As prior art, the following patents disclose CRM technology. The prior art uses a fixed marketing policy. That is, the system repeatedly collects customer information, analyzes trends, selects target customers, and provides customized products / services based on already proven marketing policies. Here, the manager can not change the processing logic such as data object, classification criterion, condition by changing the marketing policy. If a marketing policy is changed, the processing logic based on the new marketing policy must be newly developed by the developer and reflected in the system. In addition, the target of the target selection can be only the customer, and it is impossible to target the product.
The present invention has been made in view of the above-described prior art, and it is an object of the present invention to provide a customer relationship management apparatus, a customer relationship management apparatus, and a customer relationship management apparatus capable of designing a marketing policy for dynamically changing processing logic and conditions against CRM data, System and customer relationship management.
According to an aspect of the present invention, there is provided a customer relationship management apparatus comprising: a CRM information collecting unit for collecting personal information and log information of a customer as customer relationship management (CRM) information; A policy function application unit for applying a function of the marketing policy to the CRM information according to a design of an administrator's marketing policy to determine table processing logic; A policy condition applying unit for determining an item and a condition of a field process for the determined table processing logic; And a marketing policy processing unit for extracting target data matched with the execution of the table processing logic of the marketing policy including the table information and the field information from the CRM information so that the marketing policy, Is designed.
In the present invention, the CRM information collection unit collects the personal information from a service DB stored in a service server that provides an online service to a customer, and stores the collected information in a log server for analyzing a customer's behavior generated in the course of the online service And collects the log information from the log DB.
Here, the customer relationship management apparatus is constructed independently of the service server and the log server that are independently constructed.
Preferably, the CRM information collecting unit stores the personal information as static information in the customer CRM DB, and stores the log information in the log CRM DB as dynamic information.
Here, the customer CRM DB and the service DB of the service server are synchronized with respect to the personal information, and the log DB of the log CRM DB and the log DB of the log server are synchronized with the log information.
Further, the unique function of the marketing policy corresponds to the processing logic, and the processing logic includes table information to be processed, field information of the table information, and value information of the field information.
Here, the processing logic is created with a query statement including a corresponding table, field, and value as the marketing policy is designed by the manager.
Also, the marketing policy is generated and stored according to the design of the manager, and is loaded at the request of the manager.
According to an aspect of the present invention, a customer relationship management system includes: a service server that stores personal information of a customer and provides online services to online customers; A log server for collecting the online behavior of the customer and storing the collected information as log information; And collecting the personal information and the log information as CRM information, determining table processing logic, field processing items and conditions according to a marketing policy designed by an administrator for the stored CRM information, and executing the processing logic, And a customer relationship management server for extracting the object data from the CRM information.
According to another aspect of the present invention, there is provided a method for managing a customer relationship in an electronic device, the method comprising the steps of: (a) ) CRM information collection step for collecting information as information; (b) a policy function applying step of determining a table processing logic by applying a function of the marketing policy to the CRM information according to a design of an administrator's marketing policy; (c) applying a condition for determining an item and condition of field processing for the determined table processing logic; And (d) a marketing policy processing step of extracting target data matching the table processing logic of the marketing policy including the table information and the field information from the CRM information, wherein functions and conditions unique to the manager are defined by the manager Marketing policy is designed.
According to an aspect of the present invention, there is provided a method for designing a marketing policy according to a request of an administrator for a marketing policy capable of extracting object data from a CRM DB to an administrator, Design services of marketing policy are provided.
According to another aspect of the present invention, a marketing policy designed by an administrator can accommodate the structure of a CRM DB, and can be automatically generated and executed by a manager's design without a developer's programming.
1 is a schematic block diagram of a customer relationship management system according to an embodiment of the present invention.
FIG. 2 is an exemplary diagram illustrating a CRM server collecting CRM information according to an exemplary embodiment of the present invention. Referring to FIG.
FIG. 3 and FIG. 4 are views illustrating an example in which a CRM server extracts object data according to an administrator's marketing policy design according to an embodiment of the present invention.
5 is a schematic internal structure diagram of a CRM server according to an embodiment of the present invention.
6 is a schematic flowchart of a method of managing a customer relationship according to an embodiment of the present invention.
The foregoing and other objects, features and advantages of the present invention will become more apparent from the following detailed description of the present invention when taken in conjunction with the accompanying drawings, in which: There will be. In the following description, well-known functions or constructions are not described in detail since they would obscure the invention in unnecessary detail. Hereinafter, a preferred embodiment of the present invention will be described in detail with reference to the accompanying drawings.
1 is a schematic block diagram of a customer
The customer
The
Here, table information and field information of the
The
The
Here, it is preferable that the
The
FIG. 2 is an exemplary diagram of CRM information collected by the
To provide a marketing or promotional policy to your customers, you need to know your customers and their behavior patterns in advance. When extracting customers for a specific policy, static information such as customer's personal information (eg, gender, age, date of birth, address, etc.) is extracted. In addition, dynamic information such as the behavior pattern information of the customer (e.g., visit information, purchase information, customers using a lot of specific menus, customers using a lot of specific contents, number of times customers are recommended, etc.) are extracted.
Here, the personal information of the
FIG. 3 and FIG. 4 are views illustrating an example in which a CRM server extracts object data according to an administrator's marketing policy design according to an embodiment of the present invention.
Referring to FIG. 3, the marketing policy has processing logic corresponding to the CRM service function. First, the function is defined by the design of the manager, and the function-specific processing logic is generated. Here, the function and logic are 1: 1 mapped. The processing logic is execution information for extracting object data from the
For example, assuming that the service function of the marketing policy is " extraction of a user whose age is twenty ", the processing logic may include table information on 'extraction of the user's age range' and processing information of a field & . Here, the information required for the processing logic is the personal information of the customer CRM DB.
As another example, assuming that the service function of the marketing policy is 'extraction of users who are connected at the age of twenties, yesterday', the processing logic may include table information and conditions regarding 'user age range extraction' 20 " and " connection time is yesterday ". Here, the information required for the processing logic is the personal information of the customer CRM DB and the log information of the log CRM DB.
Referring to FIG. 4, when the service function of the marketing policy is applied, the
5 is a schematic internal structure diagram of a
The
The CRM
The policy
The policy condition application unit 23 determines items and conditions of field processing for the determined table processing logic. Then, field information of table information, value information of field information, condition information, and the like are added to the processing logic. Once the design is complete, the processing logic includes query statements containing tables, fields and values according to the functionality of the marketing policy. Once the completed marketing policy is saved, the stored marketing policy can be executed via the manager's retrieval function.
Each time the table and field information is created, changed or deleted in the
The marketing policy processing unit 25 executes the table processing logic of the marketing policy including the table information and the field information, and extracts matching target data from the stored CRM information.
6 is a schematic flowchart of a method of managing a customer relationship according to an embodiment of the present invention.
The
When the design of the marketing policy is started, the
When the processing logic is determined, the
Then, field information of table information, value information of field information, condition information, and the like are added to the processing logic. Once the design is complete, the processing logic includes query statements containing tables, fields and values according to the functionality of the marketing policy. Once the completed marketing policy is saved, the previously stored marketing policy can be executed as it is through the manager's retrieval function.
Thereafter, the
In the above, the
While the specification contains many features, such features should not be construed as limiting the scope of the invention or the scope of the claims. In addition, the features described in the individual embodiments herein may be combined and implemented in a single embodiment. Conversely, various features described herein in a single embodiment may be implemented in various embodiments individually or in a suitable subcombination.
It is to be understood that, although the operations have been described in a particular order in the figures, it should be understood that such operations are performed in a particular order as shown, or that a series of sequential orders, or all described operations, . In some circumstances, multitasking and parallel processing may be advantageous. It should also be understood that the division of various system components in the above embodiments does not require such distinction in all embodiments. The above-described program components and systems can generally be implemented as a single software product or as a package in multiple software products.
It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or scope of the invention. The present invention is not limited to the drawings.
1: Customer relationship management system 2: CRM server
3: service server 4: log server
5: administrator terminal
Claims (17)
A policy function application unit for applying a function of the marketing policy to the CRM information according to a design of an administrator's marketing policy to determine table processing logic;
A policy condition applying unit for determining an item and a condition of a field process for the determined table processing logic; And
A marketing policy processor for extracting target data matching the table processing logic of the marketing policy including the table information and field information from the CRM information,
Wherein the marketing policy is defined such that a function and a condition unique to the manager are defined by the manager.
The CRM information collecting unit,
Collecting the personal information from the service DB stored in the service server providing the online service to the customer and collecting the log information from the log database stored in the log server analyzing the behavior of the customer generated in the process of the online service A customer relationship management device.
Wherein the service server and the log server are independently constructed with respect to the service server and the log server independently constructed.
The CRM information collecting unit,
Stores the personal information as static information in the customer CRM DB, and stores the log information as dynamic information in the log CRM DB, respectively.
Wherein the customer CRM DB and the service DB of the service server are synchronized with respect to the personal information, and the log DB of the log CRM DB and the log DB of the log server are synchronized with the log information.
Wherein the function inherent to the marketing policy corresponds to the processing logic, and the processing logic includes table information to be processed, field information of the table information, and value information of the field information. Device.
The processing logic,
And a query statement including a corresponding table, field and value as the marketing policy is designed by the manager.
The marketing policy includes:
And is created and stored according to the design of the manager, and is loaded at the request of the manager.
A log server for collecting the online behavior of the customer and storing the collected information as log information; And
Collects the personal information and the log information as CRM information, determines table processing logic, field processing items and conditions according to a marketing policy designed by the manager for the stored CRM information, and executes the processing logic, A customer relationship management server for extracting object data from CRM information
The customer relationship management system comprising:
(a) CRM information collection step of collecting customer's personal information and log information as CRM (Customer Relationship Management) information;
(b) a policy function applying step of determining a table processing logic by applying a function of the marketing policy to the CRM information according to a design of an administrator's marketing policy;
(c) applying a condition for determining an item and condition of field processing for the determined table processing logic; And
(d) a marketing policy processing step of extracting target data matching the table processing logic of the marketing policy including the table information and the field information from the CRM information
And a marketing policy in which a function and a condition unique to the manager are defined is designed.
The step (a)
The step of collecting the log information from a log database stored in a log server for collecting the personal information from a service DB stored in a service server providing an online service to the customer and analyzing a behavior of a customer generated in the course of the online service, The customer relationship management method comprising the steps of:
The step (a)
And collecting the personal information and the log information from each of the service servers and the log server accessed by the customer relationship management apparatus via a wired and wireless network.
The step (a)
Wherein the personal information is stored in the customer CRM DB as static information, and the log information is stored in the log CRM DB as dynamic information, respectively.
The step (a)
Wherein the customer CRM DB stores the personal information in synchronization with the service DB of the service server, and the log CRM DB stores the log information in synchronization with the log DB of the log server.
The step (c)
Wherein the unique function of the marketing policy corresponds to the processing logic and includes the table information of the processing object, the field information of the table information, and the value information of the field information in the processing logic. How to manage relationships.
The step (c)
Wherein the processing logic is created with a query statement including a corresponding table, field and value as the marketing policy is designed by the manager.
After the step (c)
Wherein the marketing policy created and stored by the administrator's design is loaded at the request of the manager.
Priority Applications (1)
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KR1020130139726A KR20150056989A (en) | 2013-11-18 | 2013-11-18 | CRM apparatus and CRM system for supporting user's design of marketing strategy and method thereof |
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KR1020130139726A KR20150056989A (en) | 2013-11-18 | 2013-11-18 | CRM apparatus and CRM system for supporting user's design of marketing strategy and method thereof |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR102256814B1 (en) * | 2020-09-10 | 2021-05-27 | 주식회사 아미크 | Method and system for selecting target data |
CN115829615A (en) * | 2023-01-05 | 2023-03-21 | 瓴创(北京)科技有限公司 | User grouping method, system and storage medium based on multiple databases |
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2013
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR102256814B1 (en) * | 2020-09-10 | 2021-05-27 | 주식회사 아미크 | Method and system for selecting target data |
US11372899B2 (en) | 2020-09-10 | 2022-06-28 | Armiq Co., Ltd. | Method and system for selecting target data |
CN115829615A (en) * | 2023-01-05 | 2023-03-21 | 瓴创(北京)科技有限公司 | User grouping method, system and storage medium based on multiple databases |
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