KR102590517B1 - Method and system for selling service products based on content server and crm server - Google Patents

Abstract

The present invention relates to a method and system for selling service products based on a content server and CRM server.
According to one embodiment of the present invention, when a customer is watching various content and wants to purchase a service product included in the content, he or she can receive recommendations and guidance for a suitable service product, so that the transaction between the customer and the service provider is rational. It has the effect of making it happen.

Description

Method and system for selling service products based on content server and CRM server {METHOD AND SYSTEM FOR SELLING SERVICE PRODUCTS BASED ON CONTENT SERVER AND CRM SERVER}

The present invention relates to a method and system for selling service products based on a content server and CRM server.

CRM is an abbreviation for Customer Relationship Management, and in Korean it is called ‘Customer Relationship Management’.

This is the process by which a company analyzes and integrates internal and external data related to customers to maximize customer-centered resources and, based on this, plans, supports, and evaluates marketing activities according to customer characteristics.

CRM emerged based on elements that evolved from database marketing, one-to-one marketing, and relationship marketing.

Meanwhile, as video content platforms (for example, YouTube) have recently become active, the number of users obtaining various information through video content provided by the platform is rapidly increasing.

Accordingly, marketing techniques that combine video content platforms and CRM to suggest services or products of high interest to users and thereby induce users to purchase are attracting attention, and the development of a system that can implement this is required. This is the situation.

Meanwhile, as a related conventional technology, Korean Patent Publication No. 10-2005-0089524 describes 'Sales promotion method using CRM coupons', and Korean Patent No. 10-0762829 describes 'Consumer's purchase preference 'Product search service system and method' is described.

Accordingly, the present invention was conceived in the above-described background. When a customer is watching various content and wants to purchase a service product included in the content, it recommends and guides which service product is suitable, thereby creating a connection between the customer and the service provider. The purpose is to provide a service product sales method and system based on a content server and CRM server that allows transactions to be carried out rationally.

The object of the present invention is not limited here, and other objects not mentioned will be clearly understood by those skilled in the art from the description below.

In order to achieve this purpose, one embodiment of the present invention includes the steps of (a) the customer terminal 101 authorizing content request information (i1) to the content server 103; (b) the content server 103 approving recommended content group information (i3) corresponding to the content request information (i1) to the customer terminal (101); (c) the customer terminal 101 approving content selection information (i5) selected from the recommended content group information (i3) to the content server 103; (d) the content server 103 applying recommended service information (i7) corresponding to the content selection information (i5) to the customer terminal (101); (e) the customer terminal 101 approving service selection information (i9) selected from the recommended service information (i7) to the content server 103; (f) The content server 103 applies a personal information request signal (IS) to the customer terminal 101, and the customer terminal 101 transmits personal information (i11) corresponding to the personal information request signal (IS). ) to the content server 103; (g) the content server 103 authorizing the service selection information (i9) and the personal information (i11) to the CRM server 105; (h) The CRM server 105 approves the proposed service information (i13) generated based on the service selection information (i9) and the personal information (i11) to the content server 103, and the content server 103 A method for selling service products based on a content server and a CRM server is provided, including a step of the server 103 approving the approved proposed service information (i13) to the customer terminal 101.

In addition, it includes a customer terminal 101, a content server 103, a CRM server 105, and a store terminal 107, and the customer terminal 101 authorizes the content request information (i1) to the content server 103. Then, the content server 103 applies recommended content group information (i3) corresponding to the content request information (i1) to the customer terminal 101, and the customer terminal 101 selects the recommended content group. The content selection information (i5) selected in the information (i3) is applied to the content server 103, and the content server 103 sends recommended service information (i7) corresponding to the content selection information (i5). Authorized to the customer terminal 101, the customer terminal 101 authorizes the service selection information (i9) selected within the recommended service information (i7) to the content server 103, and the content server 103 Applies a personal information request signal (IS) to the customer terminal 101, and the customer terminal 101 sends personal information (i11) corresponding to the personal information request signal (IS) to the content server 103. Authorizing, the content server 103 authorizes the service selection information (i9) and the personal information (i11) to the CRM server 105, and the CRM server 105 authorizes the service selection information (i9). and authorizing the proposed service information (i13) generated based on the personal information (i11) to the content server 103, and the content server 103 transmits the approved proposed service information (i13) to the content server 103. Authorized to the customer terminal 101, the CRM server 105 receives proposed service selection information (i15) corresponding to the proposed service information (i13) from the customer terminal 101, and the CRM server (105) generates final service recommendation information (i17) based on the proposed service selection information (i15), applies the final service recommendation information (i17) to the store terminal 107, and the store terminal ( 107) generates final service information (i19) based on the final service recommendation information (i17) and authorizes it to the CRM server 105, and the CRM server 105 sends the final service information (i19) to the customer. It provides a service product sales system based on a content server and CRM server, which is characterized by authorization through the terminal 101.

According to one embodiment of the present invention, when a customer is watching various content and wants to purchase a service product included in the content, he or she can receive recommendations and guidance for a suitable service product, so that the transaction between the customer and the service provider is rational. It has the effect of making it happen.

Figure 1 is a diagram showing the information flow of a service product sales method and system based on a content server and a CRM server according to an embodiment of the present invention.
Figure 2 is a diagram showing an example of recommended content group information (i3).
Figure 3 is a diagram showing an example of personal information (i11).
Figure 4 is a diagram showing the correspondence between customer ratings and customer information volume.

Hereinafter, some embodiments of the present invention will be described in detail through illustrative drawings. When adding reference numerals to components in each drawing, it should be noted that identical components are given the same reference numerals as much as possible even if they are shown in different drawings. Additionally, in describing the present invention, if it is determined that a detailed description of a related known configuration or function may obscure the gist of the present invention, the detailed description will be omitted.

Additionally, when describing the components of the present invention, terms such as first, second, A, B, (a), and (b) may be used. These terms are only used to distinguish the component from other components, and the nature, sequence, or order of the component is not limited by the term. When a component is described as being “connected,” “coupled,” or “connected” to another component, that component may be directly connected or connected to that other component, but there is another component between each component. It will be understood that elements may be “connected,” “combined,” or “connected.”

Figure 1 is a diagram showing the information flow of a service product sales method and system based on a content server and a CRM server according to an embodiment of the present invention. Figure 2 is a diagram showing an example of recommended content group information (i3). Figure 3 is a diagram showing an example of personal information (i11). Figure 4 is a diagram showing the correspondence between customer ratings and customer information volume.

As shown in these drawings, the method of selling service products based on a content server and a CRM server according to an embodiment of the present invention is (a) the customer terminal 101 sends content request information to the content server 103 ( Authorizing i1); (b) the content server 103 approving recommended content group information (i3) corresponding to content request information (i1) to the customer terminal (101); (c) the customer terminal 101 approving the content selection information (i5) selected within the recommended content group information (i3) to the content server 103; (d) the content server 103 approving recommended service information (i7) corresponding to content selection information (i5) to the customer terminal 101; (e) the customer terminal 101 approving the service selection information (i9) selected within the recommended service information (i7) to the content server 103; (f) The content server 103 approves the personal information request signal (IS) to the customer terminal 101, and the customer terminal 101 sends the personal information (i11) corresponding to the personal information request signal (IS) to the content server. Authorizing step (103); (g) the content server 103 authorizing service selection information (i9) and personal information (i11) to the CRM server 105; (h) The CRM server 105 authorizes the proposed service information (i13) generated based on the service selection information (i9) and personal information (i11) to the content server 103, and the content server 103 , a step of approving the approved proposed service information (i13) to the customer terminal (101).

Hereinafter, each step will be described in detail.

First, step (a) is a step in which the customer terminal 101 authorizes content request information (i1) to the content server 103.

Here, the content provided by the content server 103 includes, for example, video content (beauty content) related to hair, nails, or procedures.

The customer terminal 101 may include, for example, a smartphone, tablet, personal computer, etc.

The content request information (i1) that the customer terminal 101 grants to the content server 103 may include, for example, keyword search information for various contents provided by the content server 103.

Next, step (b) is a step in which the content server 103 authorizes recommended content group information (i3) corresponding to content request information (i1) to the customer terminal 101.

For example, the recommended content group information (i3) may include group information about beauty content, group information about investment content, group information about self-development content, etc.

Next, step (c) is a step in which the customer terminal 101 authorizes the content selection information (i5) selected within the recommended content group information (i3) to the content server 103.

For example, when the customer terminal 101 selects beauty content, the content selection information (i5) granted to the content server 103 is a video related to beauty content (hair, nails, or procedures (eyebrows, skin, wrinkles, etc.)). content).

Next, step (d) is a step in which the content server 103 applies recommended service information (i7) corresponding to content selection information (i5) to the customer terminal 101.

For example, as described above, when the content selection information (i5) is beauty content, the recommended service information (i7) authorized by the content server 103 to the customer terminal 101 includes hair service information, nail service information, and treatment information. Includes service information, etc.

Next, step (e) is a step in which the customer terminal 101 authorizes the service selection information (i9) selected within the recommended service information (i7) to the content server 103.

Here, when the customer terminal 101 selects the hair service, the service selection information (i9) applied to the content server 103 becomes information about the hair service.

Next, in step (f), the content server 103 applies a personal information request signal (IS) to the customer terminal 101, and the customer terminal 101 receives personal information corresponding to the personal information request signal (IS) ( This is the step of authorizing i11) as the content server 103.

Here, personal information (i11) corresponding to the personal information request signal (IS) is, for example, facial photo information of a customer using the customer terminal 101, and 3D face information of the customer generated through the customer terminal 101. , customer's gender information, customer's age information, customer's contact information (phone number, email, etc.), customer's residential address information, customer's company address information, customer's service preference information, customer's life event information (birthday, employment, etc.) (day, graduation date, wedding anniversary, etc.)

Next, step (g) is a step in which the content server 103 authorizes service selection information (i9) and personal information (i11) to the CRM server 105.

For example, when the service selection information (i9) is information about the hair service described above, the content server 103 uses the information about the hair service as the service selection information (i9) and uses the personal information (i11) described above. The service selection information (i9) is also authorized to the CRM server (105).

Here, the CRM server 105 may be a cloud-based server.

Next, in step (h), the CRM server 105 authorizes the proposed service information (i13) generated based on the service selection information (i9) and personal information (i11) to the content server 103, and This is the step where the server 103 authorizes the authorized proposed service information (i13) to the customer terminal 101.

Here, suggested service information (i13) generated based on service selection information (i9) and personal information (i11) is, for example, service price information (hair service price information), service schedule information (hair service at multiple stores), Includes service provision schedule information), service providing store location information (location information of multiple stores providing hair services), service providing store contact information (contact information of multiple stores providing hair services), etc. .

In addition, when the CRM server 105 generates suggested service information (i13) based on service selection information (i9) and personal information (i11), service satisfaction (repurchase rate) of groups with similar personal information (i11) ), services that reflect recent trends, services that have high levels of satisfaction from other customers, or services that match the service provider's portfolio can be used.

Meanwhile, the method for selling service products based on a content server and a CRM server according to an embodiment of the present invention is (i) the CRM server 105 makes a proposal corresponding to the proposed service information (i13) from the customer terminal 101. It further includes a step of authorizing type service selection information (i15).

For example, when the customer terminal 101 selects the hair service provided by a specific store among a plurality of stores (hair shops) as the suggested service selection information (i15), the customer terminal 101 selects the suggested service for the hair service. The selection information (i15) is authorized to the CRM server (105).

Meanwhile, the method for selling service products based on a content server and a CRM server according to an embodiment of the present invention is that (j) the CRM server 105 provides final service recommendation information (i17) based on proposed service selection information (i15). ) and authorizing the final service recommendation information (i17) to the store terminal (107).

Here, when the CRM server 105 generates the final service recommendation information (i17) based on the proposed service selection information (i15), the previously stored customer data (age, gender, address, service use cycle, service reservation history) , no-show frequency, etc.), a price differentiation recommendation algorithm can be used.

Examples of price differentiation include benefits for new customers (discounts/additional services, etc.), benefits for dates when demand is not high for regular customers (discounts/additional services, etc.), and anniversary benefits for regular customers (discounts/additional services, etc.). .

In addition, the CRM server 105 generates final service recommendation information (i17) by further including authorized personal information (i11), and pre-stored store visit count information (i21) for customers using the customer terminal 101. Based on the amount of customer information included in the customer rating information (i23) and personal information (i11), service price discount information (i25) can be generated and included in the final service recommendation information (i17).

For example, in the case of customer grade information (i23) including store visit count information (i21), it can be classified as follows.

① Potential customers: Customers who have visited the store 0 times, clicked on the store advertisement on SNS, or have previously inquired about visiting the store.

② New customer: Customer who visits the store once

③ Entry customer (a): Customer who has visited the store twice

④ Entry customer (b): Customer who visits the store 3 times

⑤ Entry customer (c): Customer who visits the store 4 times

⑥ Regular customers: Customers who visit the store more than 5 times

⑦ VIP customers: Can be divided into customers who visit the store more than 5 times and whose service purchase amount is in the top 10%.

Additionally, in the case of the amount of customer information, it can be divided into the following levels, for example, depending on the type of information included in each level.

① Level 1: There is one piece of information from Level 2

② Level 2: Contains name, phone number, email, and/or visited channel (SNS) ID information.

③ Level 3: Contains level 2 information and personal profile information (gender, age, address (residence, workplace), occupation, position, etc.)

④ Level 4: There is level 3 information and life event information (birthday, employment date, graduation date, etc.) and/or acquaintance relationship information (family, friends, etc.)

In addition, an example of customer grade information (i23) and service price discount information (i25) generated based on the amount of customer information included in personal information (i11) is as follows.

① New customer + Level 1: Basic coupon and welcome message provided to encourage store visits

② New customer + Level 2: 20% discount coupon for mid-priced procedures and procedure information to encourage store visits

③ New customer + Level 3: 30% discount coupon for mid-priced procedures and procedure information to encourage store visits

④ New customer + Level 4: 20% discount coupon for expensive procedures and procedure information to encourage store visits

Meanwhile, in the method of selling service products based on a content server and a CRM server according to an embodiment of the present invention, (k) the store terminal 107 generates final service information (i19) based on final service recommendation information (i17). It further includes the step of authorizing the final service information (i19) to the CRM server 105, and the CRM server 105 authorizing the final service information (i19) to the customer terminal 101.

Through this, when a customer wants to purchase a service product included in the content while watching various content (video content) provided by the content server, he or she can receive recommendations and guidance on the appropriate service product, thereby facilitating transaction between the customer and the service provider. It is done rationally.

Meanwhile, the service product sales system based on the content server and CRM server according to an embodiment of the present invention includes a customer terminal 101, a content server 103, a CRM server 105, and a store terminal 107, The customer terminal 101 authorizes content request information (i1) to the content server 103; The content server 103 authorizes recommended content group information (i3) corresponding to content request information (i1) to the customer terminal 101; The customer terminal 101 authorizes the content selection information (i5) selected within the recommended content group information (i3) to the content server 103; The content server 103 applies recommended service information (i7) corresponding to content selection information (i5) to the customer terminal 101; The customer terminal 101 authorizes the service selection information (i9) selected within the recommended service information (i7) to the content server 103; The content server 103 approves a personal information request signal (IS) to the customer terminal 101, and the customer terminal 101 transmits personal information (i11) corresponding to the personal information request signal (IS) to the content server 103. Authorized by; The content server 103 authorizes service selection information (i9) and personal information (i11) to the CRM server 105; The CRM server 105 authorizes the proposed service information (i13) generated based on the service selection information (i9) and personal information (i11) to the content server 103, and the content server 103 It is characterized by authorizing the proposed service information (i13) to the customer terminal (101).

In addition, in the service product sales system based on the content server and CRM server according to an embodiment of the present invention, the CRM server 105 selects a proposed service corresponding to the proposed service information (i13) from the customer terminal 101. It is characterized by obtaining authorization for information (i15).

In addition, in the service product sales system based on the content server and CRM server according to an embodiment of the present invention, the CRM server 105 generates final service recommendation information (i17) based on proposed service selection information (i15). And, the final service recommendation information (i17) is authorized to the store terminal (107).

In addition, in the service product sales system based on the content server and CRM server according to an embodiment of the present invention, the store terminal 107 generates final service information (i19) based on final service recommendation information (i17) and sends it to the CRM server. (105), and the CRM server (105) authorizes the final service information (i19) to the customer terminal (101).

In addition, in the service product sales system based on the content server and CRM server according to an embodiment of the present invention, the CRM server 105 adds authorized personal information (i11) when generating final service recommendation information (i17). It generates final service recommendation information (i17) based on customer grade information including previously stored store visit count information for customers using the customer terminal 101 and the amount of customer information included in personal information (i11). It is characterized by generating service price discount information and including it in the final service recommendation information (i17).

The detailed configuration and functions of the customer terminal (101), content server (103), CRM server (105), and store terminal (107), which constitute the service product sales system based on the content server and CRM server, are the content server and CRM described above. Since it is the same as what was explained in the server-based service product sales method, detailed explanation will be omitted.

As described above, according to one embodiment of the present invention, when a customer is watching various content and wants to purchase a service product included in the content, a suitable service product can be recommended and guided, so that the customer and service It has the effect of allowing transactions between providers to be carried out rationally.

In the above, even though all the components constituting the embodiment of the present invention have been described as being combined or operated in combination, the present invention is not necessarily limited to this embodiment. That is, as long as it is within the scope of the purpose of the present invention, all of the components may be operated by selectively combining one or more of them.

The above description is merely an illustrative explanation of the technical idea of the present invention, and various modifications and variations will be possible to those skilled in the art without departing from the essential characteristics of the present invention. Accordingly, the embodiments disclosed in the present invention are not intended to limit the technical idea of the present invention, but are for illustrative purposes, and the scope of the technical idea of the present invention is not limited by these embodiments. The scope of protection of the present invention should be interpreted in accordance with the claims below, and all technical ideas within the equivalent scope should be construed as being included in the scope of rights of the present invention.

100: Service product sales method and system based on content server and CRM server
101: Customer terminal
103: Content server
105: CRM server
107: Store terminal
i1: Content request information
i3: Recommended content group information
i5: Content selection information
i7: Recommended service information
i9: Service selection information
i11: Personal information
i13: Proposed service information
i15: Proposed service selection information
i17: Final service recommendation information
i19: Final service information
i21: Store visit count information
i23: Customer rating information
i25: Service price discount information

Claims (6)

(a) the customer terminal 101 authorizing content request information (i1) to the content server 103 that provides beauty content such as videos related to hair, nails, or procedures;
(b) the content server 103 applying recommended content group information (i3), which is group information for the beauty content corresponding to the content request information (i1), to the customer terminal (101);
(c) the customer terminal 101 approving content selection information (i5) selected from the recommended content group information (i3) to the content server 103;
(d) the content server 103 approving recommended service information (i7), which is hair service information, nail service information, or treatment service information, corresponding to the content selection information (i5) to the customer terminal (101). ;
(e) the customer terminal 101 approving service selection information (i9) selected from the recommended service information (i7) to the content server 103;
(f) The content server 103 applies a personal information request signal (IS) to the customer terminal 101, and the customer terminal 101 transmits personal information (i11) corresponding to the personal information request signal (IS). ) to the content server 103;
(g) the content server 103 authorizing the service selection information (i9) and the personal information (i11) to the CRM server 105;
(h) The CRM server 105 approves the proposed service information (i13) generated based on the service selection information (i9) and the personal information (i11) to the content server 103, and the content server 103 A step of the server 103 approving the proposed service information (i13) to the customer terminal 101;
(i) the CRM server 105 receiving authorization for proposed service selection information (i15) corresponding to the proposed service information (i13) from the customer terminal 101; and
(j) The CRM server 105 generates final service recommendation information (i17) based on the proposed service selection information (i15) and approves the final service recommendation information (i17) to the store terminal 107. It includes;
When the CRM server 105 generates the final service recommendation information (i17) in step (j), pre-stored customer data (including age, gender, address, service usage cycle, service reservation history, and no-show frequency) Using a price differentiation recommendation algorithm that provides benefits (discounts or additional services) to regular customers on days when demand is not high,
In step (j), the CRM server 105 generates the final service recommendation information (i17) by further including the authorized personal information (i11), and provides information about the customer using the customer terminal 101. Based on the number of store visits among the pre-stored customer grade information and the amount of customer information included in the personal information (i11), service price discount information is generated and included in the final service recommendation information (i17),
The service price discount information is a service product sales method based on a content server and a CRM server, characterized in that the service price discount information is generated based on customer grades classified according to the number of store visits and levels classified according to the quantity of customer information types included. . delete delete According to claim 1,
(k) The store terminal 107 generates final service information (i19) based on the final service recommendation information (i17) and authorizes it to the CRM server 105, and the CRM server 105 generates the final service information (i19). Approving information (i19) to the customer terminal (101);
A method of selling service products based on a content server and a CRM server, further comprising: delete Includes customer terminal (101), content server (103), CRM server (105), and store terminal (107),
The customer terminal 101 authorizes content request information (i1) to the content server 103, which provides beauty content such as videos related to hair, nails, or procedures,
The content server 103 applies recommended content group information (i3), which is group information for the beauty content corresponding to the content request information (i1), to the customer terminal 101,
The customer terminal 101 applies content selection information (i5) selected within the recommended content group information (i3) to the content server 103,
The content server 103 applies recommended service information (i7), which is hair service information, nail service information, or treatment service information, corresponding to the content selection information (i5) to the customer terminal 101,
The customer terminal 101 authorizes the service selection information (i9) selected within the recommended service information (i7) to the content server 103,
The content server 103 applies a personal information request signal (IS) to the customer terminal 101, and the customer terminal 101 retrieves personal information (i11) corresponding to the personal information request signal (IS). Authorized by the content server (103),
The content server 103 authorizes the service selection information (i9) and the personal information (i11) to the CRM server 105,
The CRM server 105 authorizes the proposed service information (i13) generated based on the service selection information (i9) and the personal information (i11) to the content server 103, and the content server 103 ) applies the authorized proposed service information (i13) to the customer terminal (101),
The customer terminal 101 applies proposed service selection information (i15) corresponding to the proposed service information (i13) to the CRM server 105,
The CRM server 105 generates final service recommendation information (i17) based on the proposed service selection information (i15) and authorizes the final service recommendation information (i17) to the store terminal 107,
When the CRM server 105 generates the final service recommendation information (i17), it uses pre-stored customer data (including age, gender, address, service usage cycle, service reservation history, and no-show frequency) to provide regular customers. We use a price differentiation recommendation algorithm that provides benefits (discounts or additional services) on days when demand is not high,
The CRM server 105 generates the final service recommendation information (i17) by further including the authorized personal information (i11), among pre-stored customer rating information for customers using the customer terminal 101. Based on the number of store visits and the amount of customer information included in the personal information (i11), service price discount information is generated and included in the final service recommendation information (i17),
The service price discount information is a service product sales system based on a content server and CRM server, which is characterized in that it is generated based on customer grades classified according to the number of store visits and levels classified according to the quantity of customer information types included. .

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