KR102415084B1 - Insurance agent matching server and matching method using persona model - Google Patents

Abstract

The present application relates to a planner matching server and a planner matching method using a persona model for matching insurance planners based on customer propensity data. The planner matching server according to an embodiment of the present application receives target customer information from the insurance company management server, configures a customer persona table based on the target customer information, and provides designer information for each of a plurality of planners from the insurance company management server a collection unit configured to receive and build a plurality of designer persona tables based on designer information for each of the plurality of designers; By matching the customer persona table with a plurality of preset customer persona models to create a customized customer persona, and matching the plurality of designer persona tables with a plurality of preset designer persona models to a plurality of customized designer persona Persona generating unit for generating; a persona selection unit for selecting at least one customized designer persona from among the plurality of customized design person persona based on a matching result between the customized customer persona and the plurality of customized blood designer persona; and a consultation management unit that performs an intermediary operation between a customer terminal corresponding to the customized customer persona and the at least one customized designer persona selected by the persona selection unit. The designer matching server and designer matching method using a persona model according to an embodiment of the present application provides a persona model based on the customer's propensity data, so that the designer most suitable for the customer can be matched.

Description

Designer matching server and designer matching method using persona model {INSURANCE AGENT MATCHING SERVER AND MATCHING METHOD USING PERSONA MODEL}

The present invention relates to a planner matching server and a planner matching method using a persona model for matching insurance planners based on customer propensity data.

In general, in the case of various products related to the insurance industry, it has the characteristic that a suitable agent can be matched to the customer only when the customer's propensity, including the customer's investment interest area, investment type, and preferred designer type, is accurately identified.

Therefore, it is important to accurately understand customer propensity data for sales related to the insurance industry.

In this regard, by classifying customers into types or patterns necessary for use in marketing or sales activities, research on methods that can be utilized for sales or marketing activities are being conducted.

An object of the present invention is to provide a designer matching server and a designer matching method using a persona model to match a designer most suitable for a customer by providing a persona model based on the customer's propensity data.

The planner matching server according to an embodiment of the present application receives target customer information from the insurance company management server, configures a customer persona table based on the target customer information, and provides designer information for each of a plurality of planners from the insurance company management server a collection unit configured to receive and build a plurality of designer persona tables based on designer information for each of the plurality of designers; By matching the customer persona table with a plurality of preset customer persona models to create a customized customer persona, and matching the plurality of designer persona tables with a plurality of preset designer persona models to a plurality of customized designer persona Persona generating unit for generating; a persona selection unit for selecting at least one customized designer persona from among the plurality of customized design person persona based on a matching result between the customized customer persona and the plurality of customized blood designer persona; and a consultation management unit that performs an intermediary operation between a customer terminal corresponding to the customized customer persona and the at least one customized designer persona selected by the persona selection unit.

In an embodiment, the collection unit includes: a customer information collection module for receiving information on the target customer from the insurance company management server; a planner information collection module for receiving planner information for each of the plurality of planners from the insurance company management server; and a storage database for storing and managing information on the target customer and designer information on each of the plurality of designers.

In an embodiment, the persona generating unit may include: a customer persona generation module configured to generate the customized customer persona based on the information on the target customer; a designer persona generation module for generating the plurality of customized designer personas based on designer information for each of the plurality of designers; and a designer page opening module for opening a designer page corresponding to each of the plurality of customized designer personas.

In an embodiment, the designer persona generation module matches the designer keyword extracted from the designer information for each of the plurality of designers with the keyword extracted from the plurality of preset designer persona models, and the plurality of established designers A model having the highest matching rate among the persona models is generated as the customized designer persona.

In an embodiment, the persona selector selects at least two customized designer personas from among the plurality of customized designer personas based on a matching result between the customized customer persona and the plurality of customized blood designer personas a first designer persona selection module to select; and a second designer persona selection module for secondarily selecting at least one customized designer persona from among the firstly selected at least two customized designer personas based on the feedback result of the question and answer received from the customer terminal do.

In an embodiment, the consultation management unit includes: a designer information transmission module for transmitting designer information corresponding to the at least one customized designer persona selected secondarily to the customer terminal; a consultation request module for receiving a consultation request signal from the customer terminal and providing the consultation request signal and customer information corresponding to the consultation request signal to the designer terminal; a consultation mediation module for receiving a consultation acceptance signal from the designer terminal and transmitting the consultation acceptance signal to the customer terminal; and a content management module for storing consultation content set by the designer's terminal.

In an embodiment, the consultation mediation module transmits the consultation content to the customer terminal together with the consultation acceptance signal.

In an embodiment, the consultation intermediary module includes: a contact information transmission module for transmitting the designer's contact information and SNS link information corresponding to the designer's terminal to the customer terminal; a chat space providing module supporting a real-time chat function between the customer terminal and the designer terminal; a schedule management module for managing a meeting schedule agreed between the customer terminal and the designer terminal; and a customer management module for managing customer information corresponding to the customer terminal that has transmitted the consultation request signal.

A designer matching method according to an embodiment of the present application includes: receiving, by a collection unit of a designer matching server, customer tendency data; generating, by the persona generation unit of the designer matching server, a customized customer persona based on the customer tendency data; selecting, by the persona selector of the designer matching server, at least one customized designer persona matching the customized customer persona from among a plurality of preset designer personas; and transmitting, by the designer matching server, designer information corresponding to the at least one customized designer persona to the customer terminal.

In an embodiment, the selecting of the at least one customized designer persona includes the plurality of preset designer personas based on the number of common keywords between the plurality of preset designer personas and the customized customer persona, the plurality of preset designer personas first selecting at least two customized designer personas from among; and secondarily selecting at least one customized designer persona from among the at least two customized designer personas based on the result of the Q&A feedback received from the customer terminal.

The designer matching server and designer matching method using a persona model according to an embodiment of the present invention provides a persona model based on the customer's propensity data, so that the designer most suitable for the customer can be matched.

1 is a block diagram showing a designer matching system 1000 according to an embodiment of the present invention.
FIG. 2 is a view showing the collecting unit 110 of FIG. 1 in more detail.
FIG. 3 is a block diagram showing the persona generator 120 of FIG. 1 in more detail.
4 is a block diagram showing the persona selector 130 of FIG. 1 in more detail.
FIG. 5 is a block diagram showing the counseling management unit 140 of FIG. 1 in more detail.
6 to 11 are diagrams for explaining the operation of the designer matching server 10 of FIG. 1 .
12 illustrates a method of deriving a customer analysis model through prior research according to another embodiment of the present invention.
13 illustrates a method of generating a customer persona based on a customer analysis model according to another embodiment of the present invention.
14 illustrates a method of generating a designer persona according to another embodiment of the present invention.
15 is a diagram illustrating a method of matching a customer and a designer using a designer matching server according to another embodiment of the present invention.

Hereinafter, in adding reference numerals to the components of each drawing, it should be noted that the same components are given the same reference numerals as much as possible even though they are indicated on different drawings. In addition, 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 thereof will be omitted.

Hereinafter, the present invention will be described in detail by describing preferred embodiments of the present invention with reference to the accompanying drawings.

1 is a block diagram showing a designer matching system 1000 according to an embodiment of the present invention.

Referring to FIG. 1 , the designer matching system 1000 includes a designer matching server 10 , a customer terminal 300 , a designer terminal 400 , an insurance company management server 500 , and a network 70 .

First, the network 70 is a TCP/IP protocol and various services existing in its upper layer, that is, HTTP (Hyper Text Transfer Protocol), Telnet, FTP (File Transfer Protocol), DNS (Domain Name System), SMTP (Simple Mail). Transfer Protocol), SNMP (Simple Network Management Protocol), NFS (Network File Service), NIS (Network Information Service), etc. It refers to a worldwide open computer network structure, which will be described later in the customer terminal 300, the designer terminal ( 400 ) and the insurance company management server 500 may provide an environment that allows access to the designer matching server 10 .

Meanwhile, the network 70 may be a wired or wireless Internet, or may be a core network integrated with a wired public network, a wireless mobile communication network, or the portable Internet.

The insurance company management server 500 is connected to the designer matching server 10 through the network 70 , and provides customer information and planner information to the designer matching server 10 .

The customer terminal 300 and the designer terminal 400 are terminals owned by the customer and the designer, and are connected to the designer matching server 10 through the network 70 to enable data transmission/reception, such as a computer, a portable terminal, or a television. can be implemented as The customer terminal 300 and the designer terminal 400 may be provided in plurality, but is not limited to the drawings.

The designer matching server 10 according to an embodiment of the present invention creates a customized customer persona corresponding to customer information, selects a customized designer persona corresponding to the customized customer persona, and a designer corresponding to the designer persona It performs a function of providing consultation information to the customer terminal 300 .

The designer matching server 10 may include a collection unit 110 , a persona generator 120 , a persona selector 130 , and a consultation management unit 140 .

First, the collection unit 110 collects customer information and planner information from the insurance company management server 500 .

Customer information includes personal information such as the customer's gender, occupation, income, marital status, family composition, and existence of children, customer propensity information through tests such as Enneagram, DISC, MBTI, interests, hobbies, pursuit values, It may include lifestyle information including consumption patterns and savings information. In addition, the customer information may include customer insurance information such as the subject of subscription, the purpose of the subscription (to raise money, prepare for a disease, prepare for an accident, prepare for old age), existing insurance subscription history, insurance knowledge level, investment propensity, and the like.

Designer information includes personal information such as gender, income, marital status, family composition, having children, sales style, customer touch method, speech method, DISC information, etc., and lifestyle information such as background, pursuit value, interests, and hobbies may include In addition, the designer information may include professional information such as specialized fields (raising money, preparing for diseases, preparing for accidents, preparing for old age), career, qualifications, excellent certification, MDRT membership, and the like.

The customer information and designer information may be collected offline or online. When customer information and planner information are collected online, they may be provided from the insurance company management server 500 , or may be directly received from the customer terminal 300 or the planner terminal 400 . The customer information and designer information received in this way may be provided to be stored in the storage DB of the collection unit.

Next, the persona generation unit 120 matches the customer information collected through the collection unit 110 with a preset customer persona model stored in the storage DB, and customized corresponding to customer information among a plurality of customer persona models Create a customer persona. In addition, the persona generating unit 120 generates a customized designer persona corresponding to the designer information by matching the designer information collected through the collection unit 110 with preset designer persona models.

In this case, the storage DB may generate, classify, store and manage a plurality of personas classified by the administrator in advance, and generate, store, classify and manage keywords related to each of the plurality of personas in advance, respectively. can do.

As described above, the designer matching system 1000 according to the embodiment of the present application may generate a customized customer persona according to the customer tendency, and may generate a customized designer persona according to the designer tendency. Also, the designer matching system 1000 may select a designer persona that matches the customized customer persona from among a plurality of preset customized designer personas, and recommend the designer persona to the customer. Accordingly, the designer matching system 1000 can match the most suitable designer that meets the customer preference, thereby enhancing customer satisfaction.

FIG. 2 is a view showing the collecting unit 110 of FIG. 1 in more detail.

Referring to FIG. 2 , the collection unit 110 includes a customer information collection module 111 , a designer information collection module 112 , and a storage DB 113 .

The customer information collection module 111 receives information about the customer from the insurance company management server 500 . For example, the customer information collection module 111 may receive information on customer disposition information, interests, hobbies, and the like, from the insurance company management server 500 .

The planner information collection module 112 receives information about the planner from the insurance company management server 500 . For example, the designer information collection module 112 may receive from the insurance company management server 500 information on the designer's propensity for sales style, speech, and the like, as well as information on professional fields, qualifications, and the like.

The storage DB 113 may store, classify, and manage customer information as a database for each customer. The storage DB 113 may store, classify, and manage designer information as a database for each designer.

For example, the storage DB 113 is a relational database management system (RDBMS) such as Oracle, Informix, Sybase, DB2, Gemston, Orion, O2 It can be implemented for the purpose of the present invention using an object-oriented database management system (OODBMS), such as, and has appropriate fields to achieve its function.

The storage DB 113 may also generate, classify, store, and manage a plurality of personas classified by an administrator in advance, and generate, store, and It can be classified and managed.

FIG. 3 is a block diagram showing the persona generator 120 of FIG. 1 in more detail.

Referring to FIG. 3 , the persona generation unit 120 includes a customer persona generation module 121 , a designer persona generation module 122 , and a designer page opening module 123 .

The customer persona generation module 121 generates a customized customer persona based on the collected customer information. For example, the customer persona generation module 121 compares and matches the collected customer information with a plurality of preset customer personas stored in the storage DB 113 (see FIG. 2 ) to generate a customized customer persona. can

In more detail, for example, factors that determine a customer persona model include a life stage that reflects a customer's personal information, a disposition and sub-stage that reflects customer disposition information and customer insurance information, customer interests, hobbies, It can be divided into three elements of a lifestyle that reflects the pursuit value, consumption pattern, and savings information.

The customer persona model may be preset to be classified into the following detailed persona models according to each customer persona model determining factor.

Life stage customer persona models can include models such as life design starter, I.M single, Just Merid, New Daddy & New Mom, Plan B Beginner, and Active Senior. Personality and sub-stage customer persona models are umbrella man, family career, new office worker, gigs single, global nomad, my house superman, my child manager, little star supporter, gorgeous couple (Dink), prospective mom, working mom, diamond It can include models such as working moms, late parents, away daddies, Mr. & Mrs Gold, and grandchildren. The lifestyle customer persona model may include models such as the god of finance, rational consumer, style maker, leisure professional, and happy pet family.

In an embodiment, the customer persona generation module 121 matches a plurality of customer keywords extracted from customer information with related keywords stored in each of a plurality of personas stored in the storage DB 113 to have the highest matching rate A persona model can be created as a custom customer persona.

For example, if the number of common keywords for the pre-mom persona model is the largest among the plurality of personas pre-stored in the storage DB 113, the customer persona generation module 121 customizes the pre-mom persona model to a customized customer It can be created as a persona.

The designer persona generation module 122 generates a customized designer persona based on the collected designer information. For example, the designer persona generation module 122 may generate a customized designer persona by comparing and matching the collected designer information with a plurality of preset designer personas stored in the storage DB 113 .

In more detail, the factors that determine the designer persona model are the life stage reflecting the designer's personal information, the designer's competency reflecting the designer's professional information, the tendency and attitude reflecting the designer's tendency information, the designer's background, It can be divided into three elements of a lifestyle that reflects the values pursued, interests, and hobbies.

The designer persona model may be preset to be classified into the following detailed persona models according to each designer persona model determining factor.

For example, the designer persona model of the life stage may include models such as young/new, age/experience, etc., and may be set to display personal information such as gender, marital status, and child existence of the designer. The architect persona model of the architect competency includes models of trustworthy, knowledgeable, experienced, certified, experienced (skilled), up-to-date, sought-after, diligent, etc. can do. Designer persona models of dispositions and attitudes may include models such as enterprising and active, sociable and fun, calm and listening, discreet and analytical, and so on. Lifestyle designer persona models are Family-Friendly, Happy Life with lover, My way, Challenging Life, Comfortable Life,Planned life, Trendy Life, Good Life with pet, Smart life with Technology, Active Life, Sociable Life, Generous Life , may include models such as Work Life.

In an embodiment, the designer persona generation module 122 matches a plurality of designer keywords extracted from the designer information with related keywords stored in each of a plurality of personas stored in the storage DB 113 to have the highest matching rate A persona model can be created with a custom designer persona.

For example, when the number of common keywords for the Family-Friendly persona model is the largest among the plurality of personas stored in the storage DB 113 , the designer persona generation module 122 customizes the Family Friendly persona model It can be created with a designer persona.

When the creation of the customized designer persona is completed, the designer page opening module 123 may open the designer page based on the generated customized designer persona.

For example, the designer page may include the designer's profile, persona information, professional field, consultation content information, consultation tendency information, and the like.

By creating the designer page as described above, the customer requesting consultation can directly understand the designer's professional field, consultation tendency, and the customer's own preference for the designer, thereby further enhancing customer satisfaction with designer matching. there is

4 is a block diagram showing the persona selector 130 of FIG. 1 in more detail.

Referring to FIG. 4 , the persona selection unit 130 includes a first designer persona selection module 131 and a second designer persona selection module 132 .

The first designer persona selection module 131 first selects a customized designer persona matching the customized customer persona generated by the persona generator 120 .

At this time, there may be at least one designer persona matching each customer persona, and may be preset by an administrator and stored in the storage DB 200 . The first designer persona selection module 131 may perform a selection operation only through matching between the customized customer persona and the customized designer persona, and the customized designer persona selected through the first designer persona selection module 131 The sonar may be multiple.

The second designer persona selection module 132 second selects a persona more suitable for the customer from among a plurality of customized designer personas selected through the first designer persona selection module 131 .

For example, the second designer persona selection module 132 may provide a question and answer to the customer terminal, and based on the feedback result for the question and answer, a persona more suitable for the customer from among a plurality of customized designer persona can be selected in two ways. In this case, the secondarily selected customized designer persona may be selected based on the fitness score of each designer persona calculated for the customer's answer.

There may also be a plurality of second-selected customized designer personas, and in this case, the customer directly selects a designer and requests a consultation on the customer terminal 300 , so that the consultation application may proceed.

FIG. 5 is a block diagram showing the counseling management unit 140 of FIG. 1 in more detail.

Referring to FIG. 5 , the consultation management unit 140 includes a designer information transmission module 141 , a consultation request module 142 , a consultation mediation module 143 , and a content management module 144 .

The designer information transmission module 141 corresponds to the second-selected customized designer persona

The designer information to be transmitted is transmitted to the customer terminal (300).

For example, the designer information may include information such as the designer's profile, professional field, interests, and needs content, and may be provided in the form of a homepage. The designer information transmitted to the customer terminal 300 may be for a plurality of customized designer personas or may be for one customized designer persona.

The consultation request module 142 receives a consultation request signal from the customer terminal 300 and provides it to the designer terminal 400 . For example, when a consultation request button displayed on the screen of the customer terminal 300 is clicked, a consultation request signal may be transmitted from the customer terminal 300 to the consultation management unit 140 .

In addition, the consultation request module 142 may transmit customer information together with the consultation request signal received from the customer terminal 300 to the designer terminal 400 to be displayed on the designer terminal 400 .

The consultation mediation module 143 receives a consultation acceptance signal for the consultation request signal from the designer terminal 400 . The consultation brokerage module 143 may transmit the received consultation acceptance signal back to the customer terminal 300 , and may mediate the customer terminal 300 and the designer terminal 400 . In this case, the consultation mediation module 143 may transmit preset consultation content or a coupon related thereto at the request of the designer to the customer terminal 300 together with the consultation acceptance signal.

The consultation mediation module 143 may include, for example, a contact information transmission module 143_1 , a chat space providing module 143_2 , a schedule management module 143_3 , and a customer management module 143_4 .

The contact information transmission module 143_1 may transmit the designer's contact information and SNS link information to the customer terminal 300 to enable discussion of the consultation progress schedule through direct contact between the customer terminal 300 and the designer's terminal 400 . . In this case, non-face-to-face or face-to-face consultation between the customer and the designer may be conducted.

The chat team space providing module 143_2 may provide a chatting space to enable real-time conversation between the customer terminal 300 and the designer terminal 400 . The consultation form between the customer and the designer may be provided in various forms, and is not limited to the above-described embodiment.

The schedule management module 143_3 may manage a schedule for a face-to-face or non-face-to-face meeting between the customer terminal 300 and the designer's terminal 400 . For example, when a meeting schedule between the customer terminal 300 and the designer terminal 400 is determined, the schedule management module 143_3 may transmit the meeting schedule to the customer terminal 300 and the designer terminal 400 . As another example, the schedule management module 143_3 may notify the customer terminal 300 and the designer terminal 400 of the corresponding meeting schedule through the chat space providing module 143_2 before the corresponding meeting schedule.

The customer management module 143_4 may manage a list of customers who have requested counseling. For example, the customer management module 143_4 may provide information such as a list of customers who have requested a consultation, contact information of each customer, and a customized persona for each customer to the designer terminal 400 .

The content management module 144 may store counseling content preset by the designer terminal 400 or a coupon related thereto. When there is a request from the designer's terminal 400 , the content management module 143 may transmit preset consultation content or a coupon related thereto to the customer terminal 300 .

1 to 5, the persona matching system 1000 according to an embodiment of the present application can match the most suitable designer to the customer according to the customer preference, thereby improving customer satisfaction have. In particular, if the persona matching system 1000 is used, the advantage of continuously managing orphaned customers is

have.

In this specification, an orphan customer means an insurance company due to the departure of the exclusive agent from the insurance company.

It is used as a meaning to refer to an insurance contract customer who has suffered damage.

For orphan customers' contract satisfaction, it can be seen that the designer's responsibility, reliability, and settlement rate act as the biggest indicators of contract satisfaction. In order to increase the satisfaction of these orphan customers, it is essential to match a designer suitable for the needs of orphan customers. In order to increase the contract retention rate, continuous and systematic customer management is required after the conclusion of the contract.

In order to solve this problem, using the agent matching system 1000 of the present invention, a verified meeting that can satisfy the needs of both customers and planners by evaluating and classifying not only customer tendencies but also the sales qualities and expertise of insurance planners can make it possible

In addition, the consultation management unit 140 of the designer matching server 10 of the present invention performs a mediating function so that face-to-face or non-face-to-face consultation between the customer and the designer is smoothly performed in the contract process and customer management after the contract is concluded. , continuous and systematic management of orphan customers is possible.

In this way, it is possible to change the negative perception of the insurance industry and restore credibility by improving the productivity and settlement rate of planners as well as satisfaction of orphan customers.

6 and 7 are diagrams for explaining the operation of the designer matching server 10 of FIG. 1 . Specifically, in FIG. 6 , an example of the customer persona generation and designer matching operation of the designer matching server 10 is shown, and in FIG. 7 , the order of the customer persona generation and the designer matching operation of the designer matching server 10 is shown. has been

6 and 7 , in step S110 , the collection unit 110 of the designer matching server 10 may collect customer tendency data and configure a customer persona table.

In step S120 , the persona generation unit 120 of the designer matching server 10 may generate a customized customer persona based on the collected customer tendency data. For example, the persona generator 120 may determine the persona of the corresponding customer as a “pre-mom” through a diagnosis result of the collected customer propensity data.

In step S130 , the persona selection unit 130 of the designer matching server 10 selects a design book persona that best matches the customized customer persona from among a plurality of preset designer personas.

For example, in step S131 , the persona selector 130 may first select a persona corresponding to a customized customer persona from among a plurality of preset designer personas. The primary selection may be performed, for example, based on the number of common keywords between the customized customer persona and the plurality of designer personas.

In step S132 , the persona selector 130 may secondarily select a customized designer persona that more closely matches the customized customer persona from among the customized designer personas first selected based on the customer's question and answer. For example, the customized designer persona may be selected based on the suitability score of each designer persona calculated for the customer's answer.

In step S140 , the designer matching server 10 may transmit designer information corresponding to the finally selected customized designer persona to the customer terminal 300 .

8 and 9 are diagrams for explaining the operation of the designer matching server 10 of FIG. 1 . Specifically, in FIG. 8 , an example of designer persona generation and designer page opening of the designer matching server 10 is shown, and in FIG. 9 , the sequence of the designer persona generation and designer page opening operations of the designer matching server 10 is shown is shown.

8 and 9 , in step S210 , the collection unit 110 of the designer matching server 10 collects designer propensity data and configures a designer persona table.

In step S220 , the persona generator 120 of the designer matching server 10 generates a customized designer persona based on the collected designer propensity data.

In step S230 , the persona generating unit 120 of the designer matching server 10 opens a designer page corresponding to the generated customized persona. For example, the designer page may include the designer's profile, persona information, professional field, consultation content information, consultation tendency information, and the like, and accordingly, the customer can directly select a designer according to his or her preference.

In step S240 , the consultation management unit 140 of the designer matching server 10 transmits information such as a list of performers requested for consultation to the designer terminal 400 .

10 and 11 are diagrams for explaining the operation of the designer matching server 10 of FIG. 1 . Specifically, FIG. 10 shows an example of the operation of the consultation management unit 140 of the designer matching server 10 , and FIG. 11 shows an operation sequence of the consultation management unit 140 of the designer matching server 10 .

In step S310 , a consultation request signal is transmitted from the customer terminal 300 to the consultation management unit 140 of the designer matching server 10 .

In step S320 , the consultation management unit 140 of the designer matching server 10 transmits information confirming whether to agree to the marketing to the customer terminal 300 .

In step S330 , the consultation management unit 140 of the designer matching server 10 checks whether the customer terminal 300 agrees to the marketing.

In step S340 , when the customer terminal 300 agrees to the marketing, the consultation management unit 140 of the designer matching server 10 transmits customer information along with the consultation request signal received from the customer terminal 300 to the corresponding designer terminal 400 . ) to be displayed on the designer terminal 400 .

In step S350 , the consultation management unit 140 of the designer matching server 10 checks whether the designer terminal 400 has accepted the customer consultation request.

In step S360 , when the designer terminal 400 accepts the customer consultation request, the consultation management unit 140 of the designer matching server 10 receives the consultation acceptance signal for the consultation request signal from the designer terminal 400 and receives the customer consultation request again. By transmitting to the terminal 300 , the customer terminal 300 and the designer terminal 400 are intermediary.

In step S370, the consultation management unit 140 of the designer matching server 10 enables discussion of the consultation progress schedule through direct contact between the customer terminal 300 and the designer terminal 400, consultation contents, coupons, consultation schedule, At least one of the designer's contact information and the SNS link is transmitted to the customer terminal 300 .

Hereinafter, a method for creating a customized customer persona and matching a customized designer using the designer matching server according to another embodiment of the present invention will be described.

12 illustrates a method of deriving a customer analysis model through prior research according to another embodiment of the present invention.

Referring to FIG. 12 , first, prior research is performed to analyze customer characteristics from multiple angles.

Prior research consists of a total of four studies related to customer personality, customer needs and preference characteristics, customer type classification, and customer consumption behavior characteristics.

Each prior study may include a plurality of customer analysis models corresponding to the study results.

For example, research related to customer personality may include MBTI model, SSI model, Green model, Holland model, Oscar Ichazo's Anneagram model, DISK model, Merrill & Reid model, and the like.

Studies related to customer needs and preference characteristics are Maslow's Need Stage Model, Alderfer's ERG Model, McClelland's Achievement Motivation Model, Herzberg's Two-Factor Model, Glasser's Five Desire Model, Miller's Model, Macrov's Model, Veit-Wilson's Model, It can include Kahle's LOV model, Rokeach's RVS model, etc.

Research related to customer type classification may include Bass model, Szymansky&Churchill model, Bartos model, Rogers innovation acceptance model, Bechett, Hewer $ Howcroft model, Holt model, Yeonju Jang model, etc.

Studies related to consumer behavior characteristics can include Plummer's AIO model, Riche's VALS model, Reynold model, Mitchell model, Assael model, Gutman&Mill model, Moschins model, Shanan model, Kim Sook-eung model, Lee Eui-Hun & Shin Ju-Young model, etc. .

Based on the customer analysis models of each prior research derived in this way, a customized customer persona can be created according to the customer persona determining factors to be described later.

13 illustrates a method of generating a customer persona based on a customer analysis model according to another embodiment of the present invention.

Referring to FIG. 13 , the customer persona determining factors include a customer general element that reflects the customer's personality, gender, life stage, and occupation information, and an insurance specialization that reflects information on the purpose of the insurance contract, allowable risk level, and economic readiness level divided into elements.

Each of the aforementioned customer analysis models may be set to have a preset value for the customer persona determining factor.

That is, different values are displayed for the determining factors according to the combination of customer analysis models, and a corresponding customer persona model is derived as a customized customer persona.

The customer persona model may be preset to be classified into the following models according to the customer persona determining factor.

For example, the customer persona model may include a Living For Family model, a Married Life model, a Self-Actualizer model, a Well-Being Endeavorer model, a Worky Life model, a Life Planner model, a Children-Centered Life model, and the like.

Each customer persona model may be preset to include sub-models according to detailed requirements, and the number of sub-models may be set to be different from each other according to each customer persona model.

Next, a method for generating a designer persona model will be described.

14 illustrates a method of generating a designer persona according to another embodiment of the present invention.

Referring to FIG. 14 , the factors determining the designer persona model may be divided into general factors reflecting the designer's personality and work style, and life similarity factors reflecting life stages, specialties, hobbies, interests, and profits.

In this case, the designer general element may be set to include a plurality of detailed types respectively corresponding to the designer's personality information and work style information.

The detailed type of the designer general element is a factor for calculating the degree of harmony with the customer persona, and the life similarity factor is a factor for calculating the similarity with the customer characteristic.

The designer persona model may be determined based on the detailed type and life similarity factor of general elements of the designer, and may be preset to correspond to each customer persona model.

Next, a method of matching the customer persona model and the designer persona model will be described.

15 is a diagram illustrating a method of matching a customer and a designer using a designer matching server according to another embodiment of the present invention.

Referring to FIG. 15 , first, a customized customer persona is generated according to the above-described method for generating a persona of a customer and a designer, and a customized designer persona is also generated for each of the designers.

The degree of harmony and similarity are calculated for each of the plurality of designer personas corresponding to the customized customer persona, and the matching designer persona is selected as the customized designer persona.

For example, in the case of a customer persona whose purpose of insurance design is health insurance, it may be preset such that a similarity with a planner whose specialty is health insurance among the life similarity factors of the planner persona is calculated to be high.

In addition, in the case of a customer persona with a very low allowable risk level, in order to compensate for this, it may be preset so that the degree of harmony with the designer persona including a work style that prefers rather aggressive investment among the general elements of the designer is high. have.

In this case, different weights may be given when calculating the degree of harmony and similarity of designer personas matching the customized customer persona. The weight may be preset through the customer terminal, and the customized designer persona finally derived according to the set weight may vary.

As described above, if the designer matching server and the designer matching method using the persona model according to an embodiment of the present invention are utilized, the customer can immediately utilize various designer manpower when necessary, and the designer can quickly secure the customer. There is an effect that can be done.

In addition, it is possible to automatically match a designer of a preferred type that reflects the needs of the customer, and the designer can also discover a preferred type of customer without directly visiting the customer.

In addition, by providing the designer's information to the customer prior to the conclusion of the contract, the designer can select a designer with low professionalism or reliability, thereby further improving customer satisfaction. There are advantages to being selective.

Although the above has been described with reference to a preferred embodiment of the present invention, those skilled in the art or those having ordinary skill in the art will not depart from the spirit and scope of the present invention described in the claims to be described later. It will be understood that various modifications and variations of the present invention can be made without departing from the scope of the present invention.

Accordingly, the technical scope of the present invention should not be limited to the content described in the detailed description of the specification, but should be defined by the claims.

10: Designer Matching Server
110: collection unit
120: persona creation unit
130: persona selection unit
140: Counseling management department
300: customer terminal
400: designer terminal
500: insurance company management server

Claims (10)

Receive target customer information from the insurance company management server, configure a customer persona table based on the target customer information, receive designer information for each of a plurality of planners from the insurance company management server, and for each of the plurality of planners a collection unit that builds a plurality of designer persona tables based on the designer information;
By matching the customer persona table with a plurality of preset customer persona models to create a customized customer persona, and matching the plurality of designer persona tables with a plurality of preset designer persona models to a plurality of customized designer persona Persona generating unit for generating;
a persona selection unit that selects at least one customized designer persona from among the plurality of customized designer persona based on a matching result between the customized customer persona and the plurality of customized blood designer persona; and
A customer terminal corresponding to the customized customer persona and a consultation management unit for performing an intermediary operation between the at least one customized designer persona selected by the persona selection unit,
The persona selection unit matches a plurality of designer keywords extracted from the designer information with related keywords stored in each of the plurality of designer personas stored in the collection unit, and the customized designer persona having the largest number of common keywords to select,
The counseling management unit transmits preset counseling content and a coupon related to the counseling content at the request of the designer to the customer terminal along with a counseling acceptance signal,
The preset consultation content is set by the designer terminal, designer matching server. According to claim 1,
the collection unit
a customer information collection module configured to receive information on the target customer from the insurance company management server;
a planner information collection module for receiving planner information for each of the plurality of planners from the insurance company management server; and
and a storage database for storing and managing information about the target customer and designer information for each of the plurality of designers. According to claim 1,
The persona generating unit
a customer persona generation module for generating the customized customer persona based on the information on the target customer;
a designer persona generation module for generating the plurality of customized designer personas based on the designer information for each of the plurality of designers; and
and a designer page opening module for opening a designer page corresponding to each of the plurality of customized designer personas. 4. The method of claim 3,
The designer persona generation module matches the designer keyword extracted from the designer information for each of the plurality of designers with the keyword extracted from the plurality of preset designer persona models, and matches among the plurality of existing designer persona models A designer matching server that generates a model with the highest rate as the customized designer persona. According to claim 1,
The persona selection unit
a first designer persona selection module for firstly selecting at least two customized designer personas from among the plurality of customized designer personas based on a matching result between the customized customer persona and the plurality of customized blood designer personas; and
A second designer persona selection module for secondarily selecting at least one customized designer persona among the at least two customized designer personas selected firstly based on the feedback result of the question and answer received from the customer terminal , designer matching server. 6. The method of claim 5,
The consultation management department
a designer information transmission module for transmitting designer information corresponding to the at least one customized designer persona selected secondarily to the customer terminal;
a consultation request module for receiving a consultation request signal from the customer terminal and providing the consultation request signal and customer information corresponding to the consultation request signal to the designer terminal;
a consultation mediation module for receiving a consultation acceptance signal from the designer terminal and transmitting the consultation acceptance signal to the customer terminal; and
A designer matching server comprising a content management module for storing consultation content set by the designer terminal. delete 7. The method of claim 6,
The consultation mediation module is
a contact information transmission module for transmitting the designer's contact information and SNS link information corresponding to the designer's terminal to the customer terminal;
a chat space providing module supporting a real-time chat function between the customer terminal and the designer terminal;
a schedule management module for managing a meeting schedule agreed between the customer terminal and the designer terminal; and
Including a customer management module for managing customer information corresponding to the customer terminal that has transmitted the consultation request signal, designer matching server. receiving, by the collection unit of the designer matching server, customer tendency data;
generating, by the persona generation unit of the designer matching server, a customized customer persona based on the customer tendency data;
selecting, by the persona selector of the designer matching server, at least one customized designer persona matching the customized customer persona from among a plurality of preset designer personas;
transmitting, by the designer matching server, designer information corresponding to the at least one customized designer persona to a customer terminal,
The step of selecting, by the persona selection unit of the designer matching server, at least one customized designer persona matching the customized customer persona from among a plurality of preset designer personas, includes: a plurality of designers extracted from the designer information Matching keywords and related keywords stored in each of the plurality of designer personas stored in the collection unit, and selecting the customized designer persona with the largest number of common keywords,
The counseling management unit transmits preset counseling content and a coupon related to the counseling content at the request of the designer to the customer terminal along with a counseling acceptance signal,
The preset consultation content is set by the designer terminal, designer matching method. 10. The method of claim 9,
The step of selecting the at least one customized designer persona
based on the number of common keywords between the plurality of preset designer personas and the customized customer persona, first selecting at least two customized designer personas from among the plurality of preset designer personas;
and secondarily selecting at least one customized designer persona from among the at least two customized designer personas based on the result of the Q&A feedback received from the customer terminal.

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