CN109543095A - Insurance products data push method, device and relevant device based on big data - Google Patents
Insurance products data push method, device and relevant device based on big data Download PDFInfo
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- CN109543095A CN109543095A CN201811152498.8A CN201811152498A CN109543095A CN 109543095 A CN109543095 A CN 109543095A CN 201811152498 A CN201811152498 A CN 201811152498A CN 109543095 A CN109543095 A CN 109543095A
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- 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
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Abstract
A kind of insurance products data push method based on big data, comprising: judge the customer type of client to be analyzed for frequent customer or new client；When being determined as frequent customer, frequent customer's list is shown, include multiple frequent customer's images and corresponding name in frequent customer's list；When the signal that the frequent customer's image detected in frequent customer's list is touched, the corresponding frequent customer of frequent customer's image touched is determined as target customer；When being determined as new client, register interface is shown；After the registration information for receiving new client, new client is determined as target customer；It is that target customer recommends corresponding insurance products according to default Generalization bounds.The present invention also provides a kind of insurance products data-pushing device, electronic equipment and storage medium based on big data.The present invention can be analyzed based on big data, it carries out ensureing notch measuring and calculating according to the existing guarantee of frequent customer and declaration form, new client can also be calculated, and ensure that notch measuring and calculating is the basis based on big data, data are true and reliable, and the guarantee notch accuracy calculated is high.
Description
Technical field
The present invention relates to class product realm of sale is ensured, insurance products data-pushing is more particularly to a kind of based on big data
Insurance products data push method, device, electronic equipment and storage medium.
Background technique
With the development of economy and society, the insurance awareness of people is more and more stronger, and more and more users start purchase and protect
Danger service.However, the type with insurance products is more and more, user picks out the guarantor for being suitble to itself in numerous insurance products
Danger becomes more and more difficult.
Traditional recommends the method for insurance to be usually business personnel to user's progress telephone reference or visit to recommend to user, this
Kind method can expend business personnel's a large amount of time, and the efficiency recommended is not also high.Another method is that user actively accesses phase
The website of safe-on company, actively understands relevant insurance products, and user obtains the insurance for being suitble to oneself in this way
Product is also required to spend a large amount of query time.
However, the information that recommendation of websites is generally difficult to be provided according to client on business personnel or line either under line is to visitor
The demand at family is accurately classified, for example, the communication way that client likes, the product type etc. of client's most demand, Ke Huyi
Some guarantee amounts and notch etc..Only in the contact with client is linked up, the true of client further could be accurately understood
Demand.Therefore, if guarantee notch can be calculated according to the existing guarantee of client, insurance products data-pushing is carried out to client, then
The experience effect of client, the business efficiency excavated potential intention client, improve business personnel can be improved.
Summary of the invention
In view of the foregoing, it is necessary to propose a kind of insurance products data push method, device, electronics based on big data
Equipment and storage medium can carry out measuring and calculating according to the existing guarantee of frequent customer and ensure notch, can also protect to new client
Barrier measuring and calculating, and carrying out measuring and calculating to the guarantee notch of target customer is the basis based on big data, data are true and reliable, calculate
Ensure that notch accuracy is high.
The first aspect of the present invention provides a kind of insurance products data push method based on big data, the method packet
It includes:
When the insurance products data-pushing for receiving client to be analyzed is requested, the customer class of the client to be analyzed is judged
Type is frequent customer or new client；
When determining the client to be analyzed is frequent customer, frequent customer's list is shown, include more in frequent customer's list
A frequent customer's image and corresponding name；When detect frequent customer's image in frequent customer's list it is chosen when, will be chosen
The fixed corresponding frequent customer of frequent customer's image is determined as target customer；
When determining the client to be analyzed is new client, register interface is shown；When the registration information for receiving new client
Afterwards, the new client is determined as target customer；
Corresponding insurance products data are pushed to the target customer according to default Generalization bounds.
According to a preferred embodiment of the present invention, it is corresponding to target customer push to preset Generalization bounds for the basis
Insurance products data include:
Obtain the personal annual income of the target customer；
Determine that the target customer is due complete according to the corresponding relationship between the personal annual income and comprehensive guarantee
Orientation guarantee；
According to the due comprehensive guarantee of the target customer and existing guarantee, the guarantee for calculating the target customer is lacked
Mouthful.
According to a preferred embodiment of the present invention, according to the corresponding pass between the personal annual income and comprehensive guarantee
System determines that the due comprehensive guarantee of target customer includes:
It is die guarantee, weight disease guarantee, medical security and deformity according to the personal annual income and unexpected guarantee of dieing, disease
Corresponding relationship between guarantee determines that the due accident of the target customer die guarantee, weight disease of guarantee, disease of dieing is protected respectively
Barrier, medical security and disabled guarantee.
According to a preferred embodiment of the present invention, it is corresponding to target customer push to preset Generalization bounds for the basis
Insurance products data include:
Obtain the personal annual income of the target customer；
The personal annual income of the target customer is ensured that the personal annual income in source database matches with default,
The corresponding secure conduct target customer of personal annual income in the default guarantee source database matched should be had
Guarantee；
According to the due guarantee of the target customer and existing guarantee, the guarantee notch of the target customer is calculated.
According to a preferred embodiment of the present invention, the customer type for judging client to be analyzed is frequent customer or new
Client includes:
When detecting the signal that the first pre-set button is touched, determine that the client to be analyzed is frequent customer；
When detecting the signal that the second pre-set button is touched, determine that the client to be analyzed is new client.
According to a preferred embodiment of the present invention, chosen when detecting frequent customer's image in frequent customer's list
Signal when, the method also includes:
By preset entry Layering manifestation described in the existing personal protection of target customer protection amount, weight disease guarantee protection amount,
The protection amount of protection amount and medical security that deformity ensures；
After receiving the content that the target customer inputs in the default entry, it is corresponding to update the default entry
Information.
According to a preferred embodiment of the present invention, when determining the client to be analyzed is new client, the method is also
Include:
It provides and recommends interface, the register interface is recommended by third party application by the recommendation interface.
The second aspect of the present invention provides a kind of insurance products data-pushing device based on big data, described device packet
It includes:
Judgment module, for when the insurance products data-pushing for receiving client to be analyzed is requested, judgement to be described wait divide
The customer type for analysing client is frequent customer or new client；
First display module, for showing old visitor when the judgment module determines that the client to be analyzed is frequent customer
Family list includes multiple frequent customer's images and corresponding name in frequent customer's list；
First determining module, for when detecting the chosen signal of frequent customer's image in frequent customer's list,
The chosen corresponding frequent customer of frequent customer's image is determined as target customer；
Second display module, for when the judgment module determines that the client to be analyzed is new client, display to be registered
Interface；
The new client after the registration information for receiving new client, is determined as target customer by the second determining module；
Recommending module, for pushing corresponding insurance products data to the target customer according to default Generalization bounds.
The third aspect of the present invention provides a kind of electronic equipment, and the electronic equipment includes processor and memory, described
It is realized as described in any one of claim 1 to 7 when processor is for executing the computer program stored in the memory
The insurance products data push method based on big data.
The fourth aspect of the present invention provides a kind of computer readable storage medium, deposits on the computer readable storage medium
Computer program is contained, is realized when the computer program is executed by processor as claimed in any of claims 1 to 7 in one of claims
Insurance products data push method based on big data.
It insurance products data push method provided in an embodiment of the present invention based on big data, device, electronic equipment and deposits
Storage media first determines whether the customer class of client to be analyzed in the insurance products data-pushing request for receiving client to be analyzed
Type is frequent customer or new client；When determining the client to be analyzed is frequent customer, frequent customer's list, the frequent customer are shown
It include multiple frequent customer's images and corresponding name in list；It is selected when detecting frequent customer's image in frequent customer's list
Periodically, the chosen corresponding frequent customer of frequent customer's image is determined as target customer；When determining that the client to be analyzed is new
When client, register interface is shown；After the registration information for receiving new client, the new client is determined as target customer；According to
Default Generalization bounds push corresponding insurance products data to the target customer.The present invention can not only be existing according to frequent customer
Guarantee and declaration form carry out ensureing notch measuring and calculating, new client can also be calculated, and provided for different customer type
Different question-and-answer problems reduces the typing of client oneself, simplifies operation.And carrying out measuring and calculating to the guarantee notch of target customer is to be based on
The basis of big data, data are true and reliable, and the guarantee notch accuracy calculated is high.It improves the experience effect of client, be conducive to
The business efficiency further excavated potential intention client, improve business personnel.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 is the flow chart for the insurance products data push method based on big data that the embodiment of the present invention one provides.
Fig. 2 is the functional module of the insurance products data-pushing device provided by Embodiment 2 of the present invention based on big data
Figure.
Fig. 3 is the schematic diagram for the electronic equipment that the embodiment of the present invention three provides.
The present invention that the following detailed description will be further explained with reference to the above drawings.
Specific embodiment
To better understand the objects, features and advantages of the present invention, with reference to the accompanying drawing and specific real
Applying example, the present invention will be described in detail.It should be noted that in the absence of conflict, the embodiment of the present invention and embodiment
In feature can be combined with each other.
In the following description, numerous specific details are set forth in order to facilitate a full understanding of the present invention, described embodiment is only
It is only a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill
Personnel's every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
Unless otherwise defined, all technical and scientific terms used herein and belong to technical field of the invention
The normally understood meaning of technical staff is identical.Term as used herein in the specification of the present invention is intended merely to description tool
The purpose of the embodiment of body, it is not intended that in the limitation present invention.
The insurance products data push method application based on big data of the embodiment of the present invention in the electronic device, can also be with
It applies in electronic equipment and the hardware environment being made up of the server that network and the electronic equipment are attached, by taking
Business device and electronic equipment execute jointly.Network includes but is not limited to: wide area network, Metropolitan Area Network (MAN) or local area network.
The electronic equipment can be desktop PC, notebook, palm PC and cloud server etc. and calculate electronics
Equipment.
The electronic equipment that needs are carried out with the insurance products data push method based on big data, can directly exist
The insurance products data-pushing function based on big data provided by method of the invention is integrated on electronic equipment, or installation is used
In the client for realizing method of the invention.For another example, method provided by the present invention can also be with Software Development Kit
The form of (Software Development Kit, SDK) operates on the electronic equipments such as server, is provided in the form of SDK
The interface that the interface of insurance products data-pushing function based on big data, server or other electronic equipments pass through offer
Realize the insurance products data-pushing function based on big data.
Embodiment one
Fig. 1 is the flow chart for the insurance products data push method based on big data that the embodiment of the present invention one provides.Root
According to different demands, the execution sequence in the flow chart be can change, and certain steps can be omitted.
S11: when the insurance products data-pushing for receiving client to be analyzed is requested, judge the visitor of the client to be analyzed
Family type is frequent customer or new client.
In the present embodiment, when client has insurance products data requirements, insurance products data can be sent to electronic equipment and pushed away
After sending request, electronic equipment to receive the request of insurance products data-pushing, client is set to client to be analyzed.The visitor to be analyzed
The customer type at family may include: frequent customer and new client.The frequent customer and the new client are in contrast frequent customers
Refer to and had bought insurance products and in the address list of insurance agent.The new client refer to do not bought insurance products or
Person is not in the address list of insurance agent.
It is analysed to client and is divided into frequent customer and new client, insurance agent can be facilitated to be taken according to customer type different
Approach obtains the relevant information of client to be analyzed and takes different approaches to carry out insurance products data-pushing according to customer type.Institute
Stating relevant information can be the essential information of client to be analyzed, for example, personal annual income and insurance preference etc..
In the present embodiment, it can determine that the client to be analyzed is frequent customer or new client by insurance agent.
When insurance agent determines that the client to be analyzed is frequent customer, the first pre-set button can be touched, for example, column
Table button.When terminal detects the signal that the first pre-set button is touched, determine that the client to be analyzed is frequent customer.
When insurance agent determines that the client to be analyzed for new client, can touch the second pre-set button, for example, registration
Button.When terminal detects the signal that the second pre-set button is touched, determine that the client to be analyzed is new client.
When determining the client to be analyzed is frequent customer, step S12 is executed；When determining that the client to be analyzed is new visitor
When family, step S15 is executed.
S12: showing frequent customer's list, includes multiple frequent customer's images and corresponding name in frequent customer's list.
When terminal determines that client to be analyzed is frequent customer, frequent customer's list can be shown, it will be more in frequent customer's list
A frequent customer's image by the insured amount of personal protection or weight disease guarantee protection amount or it is disabled ensure it is insured amount from low to high or by height to
Low to be ranked up, default can be to sort from low to high.
The sortord from low to high or from high to low can switch between each other, for example, when detecting people
When the signal that the insured amount corresponding virtual icon of body is clicked, by multiple frequent customer's images in frequent customer's list according to corresponding people
Body protection amount is ranked up from low to high, will be old when detecting the signal that personal insured amount corresponding virtual icon is clicked again
Multiple frequent customer's images in customer list are ranked up from high to low according to the corresponding person is insured amount.
Further, it, weight disease insured amount according to the corresponding person can be protected with multiple frequent customer's images in frequent customer's list
Volume, disabled protection amount are shown by section, are defaulted as per-interval lower limit and are ranked up from high to low.If similar guarantee exists more
The identical client of a lower limit value, then be ranked up from high to low according to the upper limit in section.Illustratively, it is wrapped in frequent customer's list
Include: the protection amount of the corresponding personal protection of frequent customer A, frequent customer B, frequent customer C, frequent customer A is section [100000,150000],
The protection amount of the corresponding personal protection of frequent customer B is section [200000,280000], the protection amount of the corresponding personal protection of frequent customer C
For section [100000,250000].Then successively shown from top to bottom on the display interface of terminal frequent customer B, frequent customer C,
The insured amount section of frequent customer A and corresponding personal protection.
S13: when detect frequent customer's image in frequent customer's list it is chosen when, frequent customer's image that will be chosen
Corresponding frequent customer is determined as target customer.
In the present embodiment, insurance agent can be selected by the frequent customer's image touched in frequent customer's list will
Recommend the object of insurance products, terminal detect frequent customer's image it is chosen when, chosen frequent customer's image is corresponding old
Client is determined as target customer.
S14: the secure and existing declaration form of the target customer is shown.
In the present embodiment, be previously provided with database, in the database record have frequent customer name and it is corresponding
Secure and existing declaration form.After obtaining as the frequent customer of target customer, can obtain the corresponding target customer has guarantor
Barrier and existing declaration form.The secure and existing declaration form of the target customer can also be shown by default entry layering
Show.
Specifically, display the secure of target customer may include:
1) protection amount of the existing personal protection of target customer is shown；
2) protection amount of the existing heavy disease guarantee of target customer is shown；
3) the existing disabled protection amount ensured of the target customer is shown；
4) protection amount of the existing medical security of target customer is shown.
The secure and existing declaration form of target customer is shown, can check target customer in order to insurance agent
For the guarantee information of frequent customer, especially when insurance agent and frequent customer talk face to face, convenient for insurance agent according to
Shown secure and existing declaration form analyzes the guarantee information lacked by frequent customer, is conducive to facilitate frequent customer again
Secondary purchase.
I.e. in the present embodiment, the guarantor of the existing personal protection of target customer described in default entry Layering manifestation can be passed through
Volume, the protection amount of weight disease guarantee, the disabled protection amount ensured and the protection amount of medical security.
Further, the secure of the display target customer can also include: according to the default number of plies to described
Secure carry out Layering manifestation.
The default number of plies is pre-set number of levels, for example, 4 layers.By taking personal protection as an example, first layer can be shown
The protection amount of personal protection, the second layer can show multiple first types source of personal protection, and third layer can show each
Multiple second species sources under one type source, the 4th layer of details that can be shown under each second species source.
The secure Layering manifestation of target customer can be understood into the secure of target customer convenient for first in terms of big,
And can successively show the source of multiple and different types under each broad aspect, it is cheer and bright.
Preferably, the method may include: show the 4th layer of the guarantee source in the form of a popup window.
In the present embodiment, the guarantee source of first layer can be shown on the same display page, and can successively show
Two and third layer guarantee source, the 4th layer of guarantee source can suspend in the form of a popup window is shown in the display page
On.
Specifically, the existing declaration form of the display target customer may include:
Show the declaration form title of the target customer, the Effective Period of Insurance and declaration form state of the corresponding declaration form title.
The declaration form state refer to the declaration form of the target customer be in ensure in or the states such as failed.
In the present embodiment, the corresponding insurer's name of each declaration form, declaration form effective date, the side of paying dues can also be shown
Formula, phase hand over premium, remaining payment phase etc..The secure and existing declaration form of such more detailed displaying target client, is convenient for
The detailed guarantee situation for understanding target customer of insurance agent carries out insurance products data-pushing according to guarantee situation.
Further, after the secure and existing declaration form for showing the target customer, the method can also be wrapped
It includes:
It shows default entry, after receiving the content that the target customer inputs in the default entry, updates institute
State the corresponding information of default entry.
In the present embodiment, the default entry may include, but be not limited to: family composition is (for example, unmarried, married, married
Have baby), personal annual income, social security situation (for example, having social security, no social security), weight disease treatment class is (for example, 200,000,300,000,50
Ten thousand) and recommend to ensure amount.After showing default entry, frequent customer can fill in or update on corresponding default item option
Relevant information, for example, family composition is filled in, personal annual income situation of more old and new customers etc., thus further more old and new customers
Information recommend suitable insurance products according to status convenient for more fully understanding the status of frequent customer.
S15: display register interface.
When insurance agent determines that new client is prospect, terminal can show a register interface, and prospect can pass through
Shown register interface completes registration information, and the prospect refers to the client for having purchase insurance products intention.
When terminal determines that client to be analyzed is new client, a register interface can be shown.It can be shown in the register interface
Show that name, gender, the age, family composition, annual household income, whether there is or not the heavy disease medical services (basic medical treatments that social security, expectation obtain
(treatment cost 200,000), middle-end medical treatment (treatment cost 300,000), advanced medical (treatment cost 500,000)) and with the matched total sum insured of the personal value
(person/disabled integral multiple ensured as annual income, weight disease guarantee are between treatment cost and+5 times for the treatment of cost personal annual incomes)
Option Box.The Option Box can be Text Entry, be also possible to radio box, can also be drop-down option frame etc..
S16: after the registration information for receiving new client, the new client is determined as target customer.
For new client after register interface completes registration, the new client for completing registration is determined as target customer by the terminal.
It should be understood that after completing registration information, can directly show that 5 major class ensure notch for new client
(notch of surprisingly dieing, disabled notch, medical notch, weight disease notch, disabled notch), without load should have, it is secure and
Declaration form, i.e., without showing secure and existing declaration form.
Further, when insurance agent determines that the client to be analyzed is new client, the method can also include:
It provides and recommends interface, the register interface is recommended by third party application by the recommendation interface.
The third party application may include: wechat, QQ etc..When the terminal of new client, for example, the wechat of new client
It, can be according to the recommended links, into the corresponding application of insurance products when termination receives procuratorial insurance products recommended links
Program.
S17: corresponding insurance products data are pushed to the target customer according to default Generalization bounds.
It is determined as target customer in the corresponding frequent customer of frequent customer's image that will be touched, or the completion is registered and is believed
It can be that the target customer recommends corresponding insurance to produce according to default Generalization bounds when the new client of breath is determined as target customer
Product.I.e. either insurance agent is analysed to client and is determined as frequent customer or new client, it is all determined as target customer,
And corresponding insurance products data are pushed to the target customer according to default Generalization bounds.
In one embodiment, the basis presets Generalization bounds and pushes corresponding insurance products number to the target customer
According to may include:
Obtain the personal annual income of the target customer；
Determine that the target customer is due complete according to the corresponding relationship between the personal annual income and comprehensive guarantee
Orientation guarantee；
According to the due comprehensive guarantee of the target customer and existing guarantee, the guarantee for calculating the target customer is lacked
Mouthful.
Terminal is previously provided with the corresponding relationship between personal annual income and comprehensive guarantee, as obtaining target customer
After man-year income, the due comprehensive guarantor of target customer is determined according to the corresponding relationship between personal annual income and comprehensive guarantee
Barrier, subtracts existing guarantee further according to the due comprehensive guarantee of the target customer, the guarantor of the target customer is calculated
Hinder notch.
Specifically, personal annual income can preset and unexpected guarantee of dieing, disease are die guarantee, weight disease guarantee, doctor
Treat the corresponding relationship ensured, between disabled guarantee.It, can be according to the personal annual income and meaning of target customer after determining target customer
Guarantee, the disease of dieing outside die guarantee, weight disease guarantee, medical security, it is disabled ensure between corresponding relationship, determine target respectively
The due accident of client die guarantee, disease die guarantee, weight disease guarantee, medical security, disabled ensure.Then by target customer
Existing guarantee and the due accident die guarantee, disease die guarantee, weight disease guarantee, medical security, deformity ensure into
Row compares one by one, so that it is determined that the accident of target customer is die, notch, disease are die notch, weight disease notch, medical notch, deformity
Notch.
It should be understood that the existing guarantee of new client can be denoted as 0 for new client.
Optionally, in another embodiment, it is corresponding to target customer push to preset Generalization bounds for the basis
Insurance products data may include:
Obtain the personal annual income of the target customer；
The personal annual income of the target customer is ensured that the personal annual income in source database matches with default,
The corresponding secure conduct target customer of personal annual income in the default guarantee source database matched should be had
Guarantee；
According to the due guarantee of the target customer and existing guarantee, the guarantee notch of the target customer is calculated.
Terminal presets secure source database, for example, insurance business data library, banking business data library and public
The network platform, terminal can from ensure source database in obtain client identification information, for example, identification card number, telephone number,
Register account number, personal annual income and existing guarantee etc..By the personal annual income of the target customer and default guarantee source number
It is matched according to the personal annual income of the client in library, has guarantor for the client of the default guarantee source database matched is corresponding
Barrier is used as the due guarantee of the target customer.Further according to the existing guarantee of target customer, the guarantee notch of target customer is determined.
In conclusion the insurance products data push method provided in an embodiment of the present invention based on big data, is receiving
When the insurance products data-pushing request of client to be analyzed, judge the customer type of client to be analyzed for frequent customer or new visitor
Family；When determining the client to be analyzed is frequent customer, frequent customer's list is shown, include multiple old visitors in frequent customer's list
Family image and corresponding name；When detect frequent customer's image in frequent customer's list it is chosen when, will be chosen old
The corresponding frequent customer of customer image is determined as target customer；When determining the client to be analyzed is new client, display registration circle
Face；After the registration information for receiving new client, the new client is determined as target customer；According to default Generalization bounds to described
Target customer pushes corresponding insurance products data.The present invention can not only carry out frequent customer's measuring and calculating, so that insurance agent's root
Calculate according to the existing guarantee of frequent customer, new client can also be calculated, and is provided not for different customer types
Same question-and-answer problem reduces the typing of client oneself, simplifies operation.And carrying out measuring and calculating to the guarantee notch of target customer is based on big
The basis of data, data are true and reliable, and the guarantee notch accuracy calculated is high.Improve client experience effect, be conducive into
The business efficiency that one step excavates potential intention client, improves business personnel.
The above is only a specific embodiment of the invention, but scope of protection of the present invention is not limited thereto, for
For those skilled in the art, without departing from the concept of the premise of the invention, improvement, but these can also be made
It all belongs to the scope of protection of the present invention.
Below with reference to the 2nd to 3 figure, respectively to the electronics for realizing the above-mentioned insurance products data push method based on big data
The functional module and hardware configuration of equipment are introduced.
Embodiment two
Fig. 2 is that the present invention is based on the functional block diagrams in the insurance products data-pushing device preferred embodiment of big data.
In some embodiments, the insurance products data-pushing device 20 based on big data is run in server.
The insurance products data-pushing device 20 based on big data may include multiple function moulds as composed by program code segments
Block.The program code of each program segment in the insurance products data-pushing device 20 based on big data can store in depositing
In reservoir, and as performed by least one processor, the insurance with execution (being detailed in Fig. 1 and its associated description) based on big data is produced
The method of product data-pushing.
In the present embodiment, the function of the insurance products data-pushing device 20 according to performed by it based on big data,
Multiple functional modules can be divided into.The functional module may include: judgment module 201, the first display module 202,
One determining module 203, update module 204, the second display module 205, the second determining module 206, setup module 207 and recommendation mould
Block 208.The so-called module of the present invention refers to that one kind performed by least one processor and can complete fixed function
Series of computation machine program segment, storage in memory.It in some embodiments, will be subsequent about the function of each module
Embodiment in be described in detail.
Judgment module 201, for when the insurance products data-pushing for receiving client to be analyzed is requested, judgement it is described to
The customer type for analyzing client is frequent customer or new client.
In the present embodiment, when client has insurance products data requirements, insurance products data can be sent to electronic equipment and pushed away
After sending request, electronic equipment to receive the request of insurance products data-pushing, client is set to client to be analyzed.The visitor to be analyzed
The customer type at family may include: frequent customer and new client.The frequent customer and the new client are in contrast frequent customers
Refer to and had bought insurance products and in the address list of insurance agent.The new client refer to do not bought insurance products or
Person is not in the address list of insurance agent.
It is analysed to client and is divided into frequent customer and new client, insurance agent can be facilitated to be taken according to customer type different
Approach obtains the relevant information of client to be analyzed and takes different approaches to carry out insurance products data-pushing according to customer type.Institute
Stating relevant information can be the essential information of client to be analyzed, for example, personal annual income and insurance preference etc..
In the present embodiment, it can determine that the client to be analyzed is frequent customer or new client by insurance agent.
When insurance agent determines that the client to be analyzed is frequent customer, the first pre-set button can be touched, for example, column
Table button.When the judgment module 201 detects the signal that the first pre-set button is touched, determine that the client to be analyzed is old
Client.
When insurance agent determines that the client to be analyzed for new client, can touch the second pre-set button, for example, registration
Button.When the judgment module 201 detects the signal that the second pre-set button is touched, determine that the client to be analyzed is new visitor
Family.
First display module 202, for showing when the judgment module 201 determines that the client to be analyzed is frequent customer
Show frequent customer's list, includes multiple frequent customer's images and corresponding name in frequent customer's list.
When the judgment module 201 determines that client to be analyzed is frequent customer, the first display module 202 can show old visitor
Family list, by multiple frequent customer's images in frequent customer's list by the protection amount or disabled guarantor of the insured amount of personal protection or weight disease guarantee
The protection amount of barrier is ranked up from low to high or from high to low, and default can be to sort from low to high.
The sortord from low to high or from high to low can switch between each other, for example, when detecting people
When the signal that the insured amount corresponding virtual icon of body is clicked, by multiple frequent customer's images in frequent customer's list according to corresponding people
Body protection amount is ranked up from low to high, will be old when detecting the signal that personal insured amount corresponding virtual icon is clicked again
Multiple frequent customer's images in customer list are ranked up from high to low according to the corresponding person is insured amount.
Further, it, weight disease insured amount according to the corresponding person can be protected with multiple frequent customer's images in frequent customer's list
Volume, disabled protection amount are shown by section, are defaulted as per-interval lower limit and are ranked up from high to low.If similar guarantee exists more
The identical client of a lower limit value, then be ranked up from high to low according to the upper limit in section.Illustratively, it is wrapped in frequent customer's list
Include: the protection amount of the corresponding personal protection of frequent customer A, frequent customer B, frequent customer C, frequent customer A is section [100000,150000],
The protection amount of the corresponding personal protection of frequent customer B is section [200000,280000], the protection amount of the corresponding personal protection of frequent customer C
For section [100000,250000].Then successively shown from top to bottom on the display interface of terminal frequent customer B, frequent customer C,
The insured amount section of frequent customer A and corresponding personal protection.
First determining module 203, for when detect frequent customer's image in frequent customer's list it is chosen when, will be by
The selected corresponding frequent customer of frequent customer's image is determined as target customer.
In the present embodiment, insurance agent can be selected by the frequent customer's image touched in frequent customer's list will
Recommend the object of insurance products, terminal detect frequent customer's image it is chosen when, chosen frequent customer's image is corresponding old
Client is determined as target customer.
First display module 202 is also used to show the secure and existing declaration form of the target customer.
In the present embodiment, be previously provided with database, in the database record have frequent customer name and it is corresponding
Secure and existing declaration form.After obtaining as the frequent customer of target customer, can obtain the corresponding target customer has guarantor
Barrier and existing declaration form.The secure and existing declaration form of the target customer can also be shown by default entry layering
Show.
Specifically, first display module 202 shows that the secure of the target customer may include:
1) protection amount of the existing personal protection of target customer is shown；
2) protection amount of the existing heavy disease guarantee of target customer is shown；
3) the existing disabled protection amount ensured of the target customer is shown；
4) protection amount of the existing medical security of target customer is shown.
The secure and existing declaration form of target customer is shown, can check target customer in order to insurance agent
For the guarantee information of frequent customer, especially when insurance agent and frequent customer talk face to face, convenient for insurance agent according to
Shown secure and existing declaration form analyzes the guarantee information lacked by frequent customer, is conducive to facilitate frequent customer again
Secondary purchase.
I.e. in the present embodiment, the guarantor of the existing personal protection of target customer described in default entry Layering manifestation can be passed through
Volume, the protection amount of weight disease guarantee, the disabled protection amount ensured and the protection amount of medical security.
Further, first display module 202 shows that the secure of the target customer can also include:
According to the default number of plies to the secure carry out Layering manifestation.
The default number of plies is pre-set number of levels, for example, 4 layers.By taking personal protection as an example, first layer can be shown
The protection amount of personal protection, the second layer can show multiple first types source of personal protection, and third layer can show each
Multiple second species sources under one type source, the 4th layer of details that can be shown under each second species source.
The secure Layering manifestation of target customer can be understood into the secure of target customer convenient for first in terms of big,
And can successively show the source of multiple and different types under each broad aspect, it is cheer and bright.
Preferably, first display module 202 can also include: to show the 4th layer of the guarantee in the form of a popup window
Source.
In the present embodiment, the guarantee source of first layer can be shown on the same display page, and can successively show
Two and third layer guarantee source, the 4th layer of guarantee source can suspend in the form of a popup window is shown in the display page
On.
Specifically, the existing declaration form of the display target customer may include:
Show the declaration form title of the target customer, the Effective Period of Insurance and declaration form state of the corresponding declaration form title.
The declaration form state refer to the declaration form of the target customer be in ensure in or the states such as failed.
In the present embodiment, the corresponding insurer's name of each declaration form, declaration form effective date, the side of paying dues can also be shown
Formula, phase hand over premium, remaining payment phase etc..The secure and existing declaration form of such more detailed displaying target client, is convenient for
The detailed guarantee situation for understanding target customer of insurance agent carries out insurance products data-pushing according to guarantee situation.
Further, after the first display module 202 shows the secure and existing declaration form of the target customer, institute
Stating the first display module 202 can be also used for:
It shows default entry, after receiving the content that the target customer inputs in the default entry, updates institute
State the corresponding information of default entry.
In the present embodiment, the default entry may include, but be not limited to: family composition is (for example, unmarried, married, married
Have baby), personal annual income, social security situation (for example, having social security, no social security), weight disease treatment class is (for example, 200,000,300,000,50
Ten thousand) and recommend to ensure amount.After showing default entry, frequent customer can fill in or update on corresponding default item option
Relevant information, for example, family composition is filled in, personal annual income situation of more old and new customers etc., thus further more old and new customers
Information recommend suitable insurance products according to status convenient for more fully understanding the status of frequent customer.
Second display module 205, for showing when the judgment module 201 determines that the client to be analyzed is new client
Show register interface.
When insurance agent determines that new client is prospect, the second display module 205 can show a registration by terminal
Interface, prospect can complete registration information by shown register interface, and the prospect, which refers to, purchase insurance products meaning
To client.
When the judgment module 201 determines that client to be analyzed is new client, a register interface can be shown.Registration circle
It can show that name, gender, age, family composition, annual household income, the heavy physician obtained whether there is or not social security, expectation treat clothes on face
Business (basic medical treatment (treatment cost 200,000), middle-end medical (treatment cost 300,000), advanced medical (treatment cost 500,000)) and with the personal value
(person/disabled integral multiple ensured as annual income, weight disease guarantee are between+5 times of individuals for the treatment of cost and treatment cost to the total sum insured matched
Annual income) Option Box.The Option Box can be Text Entry, be also possible to radio box, can also be drop-down option frame
Deng.
The new client after the registration information for receiving new client, is determined as target visitor by the second determining module 206
Family.
For new client after register interface completes registration, the new client for completing registration is determined as target customer by the terminal.
It should be understood that after completing registration information, can directly show that 5 major class ensure notch for new client
(notch of surprisingly dieing, disabled notch, medical notch, weight disease notch, disabled notch), without load should have, it is secure and
Declaration form, i.e., without showing secure and existing declaration form.
Further, when insurance agent determines that the client to be analyzed is new client, the guarantor based on big data
Dangerous product data driving means 20 can also include setup module 207, recommend interface for providing, will by the recommendation interface
The register interface recommends third party application.
The third party application may include: wechat, QQ etc..When the terminal of new client, for example, the wechat of new client
It, can be according to the recommended links, into the corresponding application of insurance products when termination receives procuratorial insurance products recommended links
Program.
Recommending module 208, for pushing corresponding insurance products data to the target customer according to default Generalization bounds.
The corresponding frequent customer of frequent customer's image touched is determined as target customer in the first determining module 203, or
When the new client for completing registration information is determined as target customer by the second determining module 206, the recommending module 208 can be with
It is that the target customer recommends corresponding insurance products according to default Generalization bounds.I.e. either insurance agent is analysed to visitor
Family is determined as frequent customer or new client, it is all determined as target customer, and objective to the target according to default Generalization bounds
Family pushes corresponding insurance products data.
In one embodiment, the recommending module 208 is pushed according to default Generalization bounds to the target customer corresponding
Insurance products data may include:
Obtain the personal annual income of the target customer；
Determine that the target customer is due complete according to the corresponding relationship between the personal annual income and comprehensive guarantee
Orientation guarantee；
According to the due comprehensive guarantee of the target customer and existing guarantee, the guarantee for calculating the target customer is lacked
Mouthful.
Terminal is previously provided with the corresponding relationship between personal annual income and comprehensive guarantee, as obtaining target customer
After man-year income, the due comprehensive guarantor of target customer is determined according to the corresponding relationship between personal annual income and comprehensive guarantee
Barrier, subtracts existing guarantee further according to the due comprehensive guarantee of the target customer, the guarantor of the target customer is calculated
Hinder notch.
Specifically, personal annual income can preset and unexpected guarantee of dieing, disease are die guarantee, weight disease guarantee, doctor
Treat the corresponding relationship ensured, between disabled guarantee.It, can be according to the personal annual income and meaning of target customer after determining target customer
Guarantee, the disease of dieing outside die guarantee, weight disease guarantee, medical security, it is disabled ensure between corresponding relationship, determine target respectively
The due accident of client die guarantee, disease die guarantee, weight disease guarantee, medical security, disabled ensure.Then by target customer
Existing guarantee and the due accident die guarantee, disease die guarantee, weight disease guarantee, medical security, deformity ensure into
Row compares one by one, so that it is determined that the accident of target customer is die, notch, disease are die notch, weight disease notch, medical notch, deformity
Notch.
It should be understood that the existing guarantee of new client can be denoted as 0 for new client.
Optionally, in another embodiment, the recommending module 208 is according to default Generalization bounds to the target customer
Pushing corresponding insurance products data may include:
Obtain the personal annual income of the target customer；
The personal annual income of the target customer is ensured that the personal annual income in source database matches with default,
The corresponding secure conduct target customer of personal annual income in the default guarantee source database matched should be had
Guarantee；
According to the due guarantee of the target customer and existing guarantee, the guarantee notch of the target customer is calculated.
Terminal presets secure source database, for example, insurance business data library, banking business data library and public
In the network platform, terminal can from ensure source database obtain client identification information, for example, identification card number, telephone number,
Register account number, personal annual income and existing guarantee etc..By the personal annual income of the target customer and default guarantee source number
It is matched according to the personal annual income of the client in library, has guarantor for the client of the default guarantee source database matched is corresponding
Barrier is used as the due guarantee of the target customer.Further according to the existing guarantee of target customer, the guarantee notch of target customer is determined.
In conclusion the insurance products data-pushing device based on big data that embodiment provides, to be analyzed receiving
When the insurance products data-pushing request of client, judge the customer type of client to be analyzed for frequent customer or new client；When true
When the fixed client to be analyzed is frequent customer, frequent customer's list is shown, include multiple frequent customer's images in frequent customer's list
And corresponding name；When detect frequent customer's image in frequent customer's list it is chosen when, frequent customer's figure that will be chosen
As corresponding frequent customer is determined as target customer；When determining the client to be analyzed is new client, register interface is shown；It receives
To after the registration information of new client, the new client is determined as target customer；It is objective to the target according to default Generalization bounds
Family pushes corresponding insurance products data.The present invention can not only carry out guarantee notch according to the existing guarantee of frequent customer and declaration form
Measuring and calculating, can also calculate new client, and provide different question-and-answer problems for different customer types, reduce client oneself
Typing, simplify operation.And carrying out measuring and calculating to the guarantee notch of target customer is the basis based on big data, data really may be used
It leans on, the guarantee notch accuracy calculated is high.It improves the experience effect of client, be conducive to further excavate potential intention visitor
Family, the business efficiency for improving business personnel.
The above-mentioned integrated unit realized in the form of software function module, can store and computer-readable deposit at one
In storage media.Above-mentioned software function module is stored in a storage medium, including some instructions are used so that a computer
Electronic equipment (can be personal computer, dual-screen electronic device or network electronic devices etc.) or processor (processor)
Execute the part of each embodiment the method for the present invention.
Embodiment three
Fig. 3 is the schematic diagram for the electronic equipment that the embodiment of the present invention three provides.
The electronic equipment 3 includes: memory 31, at least one processor 32, is stored in the memory 31 and can
The computer program 33 and at least one communication bus 34 run at least one described processor 32.
At least one described processor 32 realizes that the above-mentioned insurance based on big data produces when executing the computer program 33
Step in product data push method embodiment, such as step S11-S17.
Illustratively, the computer program 33 can be divided into one or more module/units, it is one or
Multiple module/units are stored in the memory 31, and are executed by least one described processor 32.It is one or more
A module/unit can be the series of computation machine program instruction section that can complete specific function, and the instruction segment is for describing institute
State implementation procedure of the computer program 33 in the electronic equipment 3.
The electronic equipment 3 can be desktop PC, notebook, palm PC and cloud server etc. and calculate electronics
Equipment.It will be understood by those skilled in the art that the schematic diagram 3 is only the example of electronic equipment 3, structure paired electrons is not set
Standby 3 restriction may include components more more or fewer than diagram, perhaps combine certain components or different components, such as
The electronic equipment 3 can also include input/output electronic equipment, network insertion electronic equipment, bus etc..
At least one described processor 32 can be central processing unit (Central Processing Unit, CPU),
It can also be other general processors, digital signal processor (Digital Signal Processor, DSP), dedicated integrated
Circuit (Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..The processor 32 can be microprocessor or the processor 32 is also possible to any conventional processor
Deng the processor 32 is the control centre of the electronic equipment 3, utilizes various interfaces and the entire electronic equipment 3 of connection
Various pieces.
The memory 31 can be used for storing the computer program 33 and/or module/unit, and the processor 32 passes through
Operation executes the computer program and/or module/unit being stored in the memory 31, such as judgment module 201, first
Display module 202, the first determining module 203, update module 204, the second display module 205, the second determining module 206, setting
Module 207 and recommending module 208, and the data being stored in memory 31 are called, realize the various function of the electronic equipment 3
Energy.The memory 31 can mainly include storing program area and storage data area, wherein storing program area can store operation system
Application program (such as sound-playing function, image player function etc.) needed for system, at least one function etc.；It storage data area can
Storage uses created data (such as audio data, phone directory etc.) etc. according to electronic equipment 3.In addition, memory 31 can
It can also include nonvolatile memory, such as hard disk, memory, plug-in type hard disk, intelligence to include high-speed random access memory
Energy storage card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card, flash card (Flash
Card), at least one disk memory, flush memory device or other volatile solid-state parts.
If the integrated module/unit of the electronic equipment 3 is realized in the form of SFU software functional unit and as independent
Product when selling or using, can store in a computer readable storage medium.Based on this understanding, the present invention is real
All or part of the process in existing above-described embodiment method, can also instruct relevant hardware come complete by computer program
At the computer program can be stored in a computer readable storage medium, which is being executed by processor
When, it can be achieved that the step of above-mentioned each embodiment of the method.Wherein, the computer program includes computer program code, described
Computer program code can be source code form, object identification code form, executable file or certain intermediate forms etc..The meter
Calculation machine readable medium may include: can carry the computer program code any entity or device, recording medium, USB flash disk,
Mobile hard disk, magnetic disk, CD, computer storage, read-only memory (ROM, Read-Only Memory), random access memory
Device (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It needs to illustrate
It is that the content that the computer-readable medium includes can be fitted according to the requirement made laws in jurisdiction with patent practice
When increase and decrease, such as in certain jurisdictions, according to legislation and patent practice, computer-readable medium does not include electric carrier wave letter
Number and telecommunication signal.
In several embodiments provided by the present invention, it should be understood that disclosed server and method can pass through
Other modes are realized.For example, server example described above is only schematical, for example, the unit is drawn
Point, only a kind of logical function partition, there may be another division manner in actual implementation.
It, can also be in addition, each functional unit in each embodiment of the present invention can integrate in same treatment unit
It is that each unit physically exists alone, can also be integrated in same unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of hardware adds software function module.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case where without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Benefit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent elements of the claims
Variation is included in the present invention.Any reference signs in the claims should not be construed as limiting the involved claims.This
Outside, it is clear that one word of " comprising " is not excluded for other units or, odd number is not excluded for plural number.The multiple units stated in system claims
Or device can also be implemented through software or hardware by a unit or device.The first, the second equal words are used to indicate name
Claim, and does not indicate any particular order.
Finally it should be noted that the above examples are only used to illustrate the technical scheme of the present invention and are not limiting, although reference
Preferred embodiment describes the invention in detail, those skilled in the art should understand that, it can be to of the invention
Technical solution is modified or equivalent replacement, without departing from the spirit of the technical scheme of the invention range.
Claims (10)
1. a kind of insurance products data push method based on big data, which is characterized in that the described method includes:
When the insurance products data-pushing for receiving client to be analyzed is requested, judge that the customer type of the client to be analyzed is
Frequent customer or new client；
When determining the client to be analyzed is frequent customer, frequent customer's list is shown, include multiple old in frequent customer's list
Customer image and corresponding name；When detect frequent customer's image in frequent customer's list it is chosen when, will be chosen
The corresponding frequent customer of frequent customer's image is determined as target customer；
When determining the client to be analyzed is new client, register interface is shown；It, will after receiving the registration information of new client
The new client is determined as target customer；
Corresponding insurance products data are pushed to the target customer according to default Generalization bounds.
2. the method as described in claim 1, which is characterized in that the basis is preset Generalization bounds and pushed to the target customer
Insurance products data include: accordingly
Obtain the personal annual income of the target customer；
Determine that the target customer is due comprehensive according to the corresponding relationship between the personal annual income and comprehensive guarantee
It ensures；
According to the due comprehensive guarantee of the target customer and existing guarantee, the guarantee notch of the target customer is calculated.
3. method according to claim 2, which is characterized in that according to pair between the personal annual income and comprehensive guarantee
It should be related to and determine that the due comprehensive guarantee of target customer includes:
It is die and guarantee, weight disease guarantee, medical security and disabled is ensured according to the personal annual income and unexpected guarantee of dieing, disease
Between corresponding relationship, determine respectively the due accident of the target customer die guarantee, disease die guarantee, weight disease guarantee,
Medical security and disabled guarantee.
4. the method as described in claim 1, which is characterized in that the basis is preset Generalization bounds and pushed to the target customer
Insurance products data include: accordingly
Obtain the personal annual income of the target customer；
The personal annual income of the target customer is ensured that the personal annual income in source database matches with default, general
The personal annual income in default guarantee source database allotted is corresponding secure as the due guarantor of the target customer
Barrier；
According to the due guarantee of the target customer and existing guarantee, the guarantee notch of the target customer is calculated.
5. the method as described in claim 1, which is characterized in that the customer type for judging client to be analyzed is gone back for frequent customer
It is that new client includes:
When detecting the signal that the first pre-set button is touched, determine that the client to be analyzed is frequent customer；
When detecting the signal that the second pre-set button is touched, determine that the client to be analyzed is new client.
6. the method as described in claim 1, which is characterized in that when detecting frequent customer's image quilt in frequent customer's list
When selected, the method also includes:
By presetting the protection amount of the existing personal protection of target customer described in entry Layering manifestation, the protection amount of weight disease guarantee, deformity
The protection amount of guarantee and the protection amount of medical security；
After receiving the content that the target customer inputs in the default entry, the corresponding letter of the default entry is updated
Breath.
7. the method as described in claim 1, which is characterized in that when determining the client to be analyzed is new client, the side
Method further include:
It provides and recommends interface, the register interface is recommended by third party application by the recommendation interface.
8. a kind of insurance products data-pushing device based on big data, which is characterized in that described device includes:
Judgment module, for judging the visitor to be analyzed when the insurance products data-pushing for receiving client to be analyzed is requested
The customer type at family is frequent customer or new client；
First display module, for when the judgment module determines that the client to be analyzed is frequent customer, display frequent customer to be arranged
Table includes multiple frequent customer's images and corresponding name in frequent customer's list；
First determining module, for when detect frequent customer's image in frequent customer's list it is chosen when, will be chosen
The corresponding frequent customer of frequent customer's image is determined as target customer；
Second display module, for showing register interface when the judgment module determines that the client to be analyzed is new client；
The new client after the registration information for receiving new client, is determined as target customer by the second determining module；
Recommending module, for pushing corresponding insurance products data to the target customer according to default Generalization bounds.
9. a kind of electronic equipment, which is characterized in that the electronic equipment includes processor and memory, and the processor is for holding
It is realized when the computer program stored in the row memory as claimed in any of claims 1 to 7 in one of claims based on big data
Insurance products data push method.
10. a kind of computer readable storage medium, computer program, feature are stored on the computer readable storage medium
It is, is realized when the computer program is executed by processor and be based on big data as claimed in any of claims 1 to 7 in one of claims
Insurance products data push method.
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| CN201811152498.8A CN109543095A (en) | 2018-09-29 | 2018-09-29 | Insurance products data push method, device and relevant device based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811152498.8A CN109543095A (en) | 2018-09-29 | 2018-09-29 | Insurance products data push method, device and relevant device based on big data |
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| CN109543095A true CN109543095A (en) | 2019-03-29 |
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ID=65843684
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| Application Number | Title | Priority Date | Filing Date |
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| CN201811152498.8A Pending CN109543095A (en) | 2018-09-29 | 2018-09-29 | Insurance products data push method, device and relevant device based on big data |
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| CN112287213A (en) * | 2020-10-21 | 2021-01-29 | 重庆电子工程职业学院 | Information analysis method based on big data |
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