Insurance marketing methods, systems, terminals, and media based on new media platforms

By generating and publishing insurance product-related text and video files, and combining Java microservice architecture and AI technology, the problem of low content publishing efficiency for insurance brokers on new media platforms has been solved, enabling precise customer acquisition and improved user profiling, thereby increasing marketing efficiency.

CN118691298BActive Publication Date: 2026-01-06SHENZHEN SMART INSURANCE TECH CO LTD
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Patent Information

Application Number
CN202410611386.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-05-16
Publication Date
2026-01-06
Estimated Expiration
2044-05-16

AI Technical Summary

Technical Problem

In existing technologies, insurance brokers need to make multiple adjustments and reviews when publishing content on new media platforms, and there is no way to intelligently track performance data, resulting in low efficiency.

Method used

By generating insurance product-related copy based on user input, creating video files and publishing them on new media platforms, and acquiring leads to improve the user profile of target customers, the system utilizes Java microservice architecture and AI technology to process user input, combined with an insurance industry material library and lead tracking mechanism to achieve precise customer acquisition.

Benefits of technology

It enables the automated generation and publication of content on new media platforms, accurately obtains lead information, improves user profiles, and enhances the efficiency and effectiveness of insurance marketing.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses an insurance marketing implementation method and system based on a new media platform, a terminal and a medium, and relates to the technical field of insurance marketing. The method comprises the following steps: generating copy information based on user input information, wherein the copy information reflects insurance product-related copy; generating a video file based on the copy information, and publishing the video file to a new media platform; obtaining lead information corresponding to the video file, wherein the lead information at least comprises user information of a target customer who is interested in an insurance product in the video file; and improving the user portrait of the target customer based on the lead information. The application can automatically generate copy information and generate a video file to publish to a new media platform according to user input information, so as to accurately obtain lead information and improve the user portrait, thereby realizing accurate customer acquisition.
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Description

Technical Field

[0001] This invention relates to the field of insurance marketing technology, and in particular to a method, system, terminal and medium for implementing insurance marketing based on a new media platform. Background Technology

[0002] With the development of new media platforms, insurance brokers are eager to acquire traffic and customer leads through operations and promotions on various platforms. However, due to the sensitive nature of the industry, the content edited and produced by brokers themselves cannot meet the platform's compliance requirements. Multiple adjustments and approvals are required before the content can be successfully published, and the effectiveness data of the content cannot be intelligently tracked.

[0003] Therefore, existing technologies still need to be improved and enhanced. Summary of the Invention

[0004] The technical problem to be solved by this invention is to provide a method, system, terminal, and medium for insurance marketing based on a new media platform, addressing the aforementioned deficiencies of the prior art. The technical solution adopted by this invention is as follows:

[0005] In a first aspect, the present invention provides a method for implementing insurance marketing based on a new media platform, wherein the method includes:

[0006] Based on user input information, text information is generated, wherein the text information reflects the text related to insurance products;

[0007] A video file is generated based on the text information, and the video file is published to a new media platform;

[0008] Obtain clue information corresponding to the video file, wherein the clue information includes at least user information of target customers who are interested in the insurance products in the video file;

[0009] Based on the aforementioned clues, refine the user profile of the target customer.

[0010] In one implementation, generating text information based on user input includes:

[0011] Obtain user input information and decompose the user input information to obtain keywords. The keywords are used to reflect at least one or more of the product functions, product introduction, and applicable customer groups of the insurance product.

[0012] The keywords are filled with text based on a pre-set text material library to obtain the text information.

[0013] In one implementation, generating a video file based on the text information includes:

[0014] AI speech recognition is performed on the text information to obtain the speech information corresponding to the text information;

[0015] Content materials are obtained from a preset video material library, and the audio information is fused with the content materials to obtain the video file, wherein the video file includes several video segments.

[0016] In one implementation, fusing the voice information with the content material to obtain the video file includes:

[0017] An open-source multimedia framework is used to fuse the audio information with the content material, and to determine the order and duration of each video segment in the video file.

[0018] In one implementation, obtaining the clue information corresponding to the video file includes:

[0019] Construct a lead pool, whose sources include individuals, teams, and companies.

[0020] Obtain clue information corresponding to the video file from the clue pool.

[0021] In one implementation, the method further includes:

[0022] Once the user profile is completed, points information is obtained, which is used to exchange for clue information from the clue pool.

[0023] In one implementation, the method further includes:

[0024] If the points information is insufficient, the obtained clues will be actively transferred in order to obtain the points information.

[0025] Secondly, embodiments of the present invention also provide an insurance marketing implementation system based on a new media platform, wherein the system adopts a Java microservice architecture, and the system includes:

[0026] The copywriting generation module is used to generate copywriting information based on user input information, wherein the copywriting information reflects copywriting related to insurance products;

[0027] A video generation module is used to generate a video file based on the text information and to publish the video file to a new media platform;

[0028] The clue acquisition module is used to acquire clue information corresponding to the video file, and the clue information includes at least user information of target customers who are interested in the insurance products in the video file;

[0029] The profile improvement module is used to improve the user profile of the target customer based on the clue information.

[0030] Thirdly, embodiments of the present invention also provide a terminal, wherein the terminal includes a memory, a processor, and an insurance marketing implementation program based on a new media platform stored in the memory and executable on the processor. When the processor executes the insurance marketing implementation program based on a new media platform, it implements the steps of the insurance marketing implementation method based on a new media platform of any of the above solutions.

[0031] Fourthly, embodiments of the present invention also provide a computer-readable storage medium, wherein the computer-readable storage medium stores an insurance marketing implementation program based on a new media platform, and when the insurance marketing implementation program based on the new media platform is executed by a processor, it implements the steps of the insurance marketing implementation method based on a new media platform as described in any of the above schemes.

[0032] Beneficial Effects: Compared with existing technologies, this invention provides an insurance marketing method based on a new media platform. First, based on user input, this invention generates copywriting information, which reflects copywriting related to insurance products. Then, based on the copywriting information, a video file is generated and published to the new media platform. Finally, lead information corresponding to the video file is obtained, including at least user information of target customers interested in the insurance products featured in the video file. Based on the lead information, the user profile of the target customers is improved. Therefore, this invention can automatically generate copywriting information and video files based on user input and publish them to new media platforms, enabling accurate acquisition of lead information, improvement of user profiles, and thus precise customer acquisition. In this invention, by providing capabilities such as an insurance industry material library, new media content synthesis, lead tracking, and a points system, it can conveniently synthesize and publish content for brokers, and through integration with various new media platforms, it facilitates the linking and management of content data and lead data. Attached Figure Description

[0033] Figure 1 A flowchart illustrating a preferred embodiment of the insurance marketing implementation method based on a new media platform provided by the present invention.

[0034] Figure 2 This is a schematic diagram of the service architecture used in the insurance marketing implementation method based on a new media platform provided in the embodiments of the present invention.

[0035] Figure 3 This diagram illustrates a practical application of the insurance marketing implementation method based on a new media platform, as provided in this embodiment of the invention.

[0036] Figure 4This is an example diagram of a rule engine used to maintain points rules in the insurance marketing implementation method based on a new media platform provided in an embodiment of the present invention.

[0037] Figure 5 This is a structural diagram of an insurance marketing system based on a new media platform, provided as an embodiment of the present invention.

[0038] Figure 6 A schematic diagram of a terminal provided in an embodiment of the present invention. Detailed Implementation

[0039] To make the objectives, technical solutions, and effects of this invention clearer and more explicit, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0040] Those skilled in the art will understand that, unless specifically stated otherwise, the singular forms “a,” “an,” “the,” and “the” used herein may also include the plural forms. It should be further understood that the term “comprising” as used in this specification means the presence of the stated features, integers, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof. It should be understood that when we say an element is “connected” or “coupled” to another element, it can be directly connected or coupled to the other element, or there may be intermediate elements. Furthermore, “connected” or “coupled” as used herein can include wireless connections or wireless coupling. The term “and / or” as used herein includes all or any units and all combinations of one or more associated listed items.

[0041] It will be understood by those skilled in the art that, unless otherwise defined, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. It should also be understood that terms such as those defined in general dictionaries should be understood to have the same meaning as in the context of the prior art, and should not be interpreted in an idealized or overly formal sense unless specifically defined as herein.

[0042] This embodiment provides an insurance marketing method based on a new media platform. This method allows brokers to more easily synthesize and publish content, and facilitates the linking and management of content data and lead data through integration with various new media platforms. In specific application, this embodiment generates text information based on user input, where the text information reflects copy related to insurance products. Then, a video file is generated based on the text information and published to the new media platform. Next, lead information corresponding to the video file is obtained, including at least user information of target customers interested in the insurance products featured in the video file. Finally, based on the lead information, the user profile of the target customers is refined.

[0043] This embodiment can be applied to terminals, such as computers or mobile terminals (e.g., mobile phones) and other intelligent products. Currently, existing multimedia platforms have a very wide user base and all have varying degrees of open capabilities for third-party application access. Therefore, this embodiment can achieve interface with major new media platforms through APIs, synchronously publishing content to each platform. In specific applications, the insurance marketing implementation method based on new media platforms in this embodiment may include the following steps:

[0044] Step S100: Generate copy information based on user input information, wherein the copy information reflects copy related to insurance products.

[0045] Given the increasing prevalence and use of AI in daily life, and the maturing technology, especially in speech and text processing, this embodiment employs a Java microservice architecture. For example... Figure 2As shown, microservice architecture is an architectural style based on distributed systems. Its core idea is to break down complex monolithic applications into smaller, more autonomous service units. These service units collaborate through lightweight communication protocols, and each unit can be deployed, upgraded, and scaled independently. This architectural style emphasizes the single responsibility of services, with each service focusing on a specific business domain, forming a loosely coupled, highly cohesive distributed system architecture. Furthermore, AI technology is introduced into the architecture to process user input from brokers, recognizing it as corresponding speech and matching content materials from a resource library. After user authorization and consent, a short video file can be synthesized. In the implementation of microservice architecture, this embodiment incorporates several open-source tools and frameworks to improve system development and production efficiency, such as Spring Cloud, Kafaka, and Eureka. Because each service unit in a microservice architecture is independent, it is easier to scale the capacity of a single service unit without negatively impacting the entire application. Moreover, each service can be deployed independently as needed without affecting the entire application. This makes Java microservices easier to collaborate and coordinate between different development teams and lifecycle stages. Furthermore, Java microservices employ a loosely coupled architecture, allowing each service to be deployed and maintained independently. This makes the entire application more resilient; a problem in one service will not cause the entire application to crash. At the same time, Java's object-oriented programming paradigm makes the code easier for developers to understand and maintain.

[0046] In practical applications, combined with Figure 3 As shown, the user (i.e., the insurance broker) logs into the platform by entering their account and password, and after successful login, binds a third-party new media platform to publish videos on that platform. Next, the terminal (such as the user's mobile phone) obtains the user's input information, which can be a description of the insurance product entered by the insurance broker via their mobile phone. Based on this user input information, the terminal generates copywriting information reflecting the insurance product. In practical applications, after the user enters their input information on their mobile phone, the phone breaks it down into several keywords. These keywords can reflect at least one or more of the insurance product's functions, product introduction, and target customer groups. Then, the phone uses a pre-set copywriting resource library to fill in these keywords, thereby generating complete copywriting information. In this embodiment, the copywriting resource library is an insurance industry resource library; therefore, the generated copywriting information is related to the insurance product, facilitating precise customer acquisition based on this information.

[0047] In another implementation, this embodiment can also use a pre-trained neural network model to process user input information, thereby automatically outputting text information based on the neural network model. Specifically, the neural network model in this embodiment can be trained and generated based on a large amount of voice and / or text materials. These voice and / or text materials are categorized according to the types of insurance products, and candidate texts corresponding to each voice and / or text material in each insurance type are pre-set. Multiple candidate texts can be set, meaning that in each insurance type, one voice and / or text material can correspond to multiple candidate texts. Therefore, when the neural network model receives the user input information, it first identifies the keywords in the user input information, then matches the keywords with the insurance types to find the target insurance type that best matches the keywords. Then, the neural network model analyzes the semantics of the user input information, and based on this semantics, it can determine the target voice or text material that best matches the user input information. Furthermore, it can find multiple candidate texts corresponding to the target voice or text material in the target insurance type. This embodiment displays these candidate texts to the user sequentially, allowing the user to select the most suitable text as the text information for this embodiment. This embodiment uses a neural network model to determine the text information corresponding to the user input, achieving automated text determination and improving the accuracy and efficiency of text information generation.

[0048] Step S200: Generate a video file based on the text information and publish the video file to the new media platform.

[0049] Once the text information is obtained, this embodiment can generate a corresponding video file based on that text information. After the video file is generated, this embodiment can publish the generated video file to a new media platform via a terminal (such as a mobile phone).

[0050] In practical applications, combined with Figure 3As shown in the illustration, this embodiment can perform AI speech recognition on the text information to obtain the corresponding speech information. Then, content materials are retrieved from a preset video material library, and the speech information is fused with the content materials to obtain the video file, which includes several video clips. Specifically, the video material library in this embodiment stores several selectable video materials. The most matching video material can be selected based on the content or language reflected in the speech information and fused with the speech information to obtain several video clips. This embodiment uses ffmpeg for content synthesis and editing. ffmpeg is an open-source multimedia framework that can be used to process various audio and video formats, providing rich command-line tools and library functions. In this embodiment, it is used to fuse the speech information with the content materials, and the order and duration of each video clip can be specified. FFmpeg will merge multiple video clips into a single video file according to the requirements. In this embodiment, the generated video file can be used to expand or update the video material library to maintain sufficient video materials for selection.

[0051] Step S300: Obtain clue information corresponding to the video file, wherein the clue information includes at least user information of target customers who are interested in the insurance products in the video file.

[0052] In one implementation, the video file in this embodiment may also carry detailed information about the corresponding insurance product (such as a text and image introduction) or an information collection link. This information collection link can collect customer contact information and other details. After the video file is published on a new media platform, the platform can push the video file to more customers. When a customer views the video file, the system records user information such as viewing time, whether they commented, whether they clicked on the detailed information carried in the video file, whether they clicked on the information collection link, and their video preferences, and generates lead information. This lead information can be categorized into three levels according to its collection source: individual, team, and company, and can be aggregated into a lead pool. Figure 3 As can be seen, individual leads, team leads, and company leads jointly construct a lead pool. When an individual lead expires, it automatically moves to the team lead pool, or the individual lead is actively moved to the team lead pool. When a team lead expires, it automatically moves to the company lead pool, thus achieving interoperability among individual, team, and company leads. After the video file is published, this embodiment can collect user information from target customers interested in the insurance products in the video file, thereby obtaining lead information. This lead information can be used to build user profiles of target customers.

[0053] Step S400: Based on the clue information, improve the user profile of the target customer.

[0054] Since the clues reflect user information of target customers interested in the insurance products in the video file, the user profile of the target customers can be improved based on the clues. The user profile is a tagging of user information. Specifically, the clues can be used to deeply explore user information such as the target customers' social attributes, lifestyle habits, and consumer behavior, thereby establishing the user profile of the target customers.

[0055] In practical applications, this embodiment introduces an points-based strategy. Once a user profile is completed, points information is obtained, which is used to exchange for lead information from the lead pool. Combined with... Figure 3 As can be seen, if the points information is insufficient, users can actively transfer acquired clues to obtain more points. To facilitate the maintenance of points rules by operators, this embodiment introduces the Drools rule engine, such as... Figure 4 As shown, the definition, maintenance, and referencing of points rules are completed through operational tools. In this embodiment, points can be accumulated and consumed. Accumulated points can be exchanged for leads on the platform. To ensure that leads are accessible to all insurance brokers, access permissions can be set, allowing only users with the appropriate permissions to access them. This embodiment can also statistically analyze the lead acquisition records of all users and the accumulation and expenditure of points to analyze each user's lead acquisition and points situation.

[0056] In summary, this embodiment provides capabilities such as an insurance industry material library, new media content synthesis, lead tracking, and a points system, which can facilitate the synthesis and publication of content for brokers. Furthermore, by connecting with various new media platforms, it can easily link and manage content data and lead data.

[0057] Based on the above embodiments, the present invention also provides an insurance marketing implementation system based on a new media platform, wherein the system adopts a Java microservice architecture, such as... Figure 5 As shown, the system includes: a copywriting generation module 10, a video generation module 20, a lead acquisition module 30, and a profile improvement module 40. Specifically, the copywriting generation module 10 generates copywriting information based on user input, wherein the copywriting information reflects copywriting related to insurance products. The video generation module 20 generates a video file based on the copywriting information and publishes the video file to a new media platform. The lead acquisition module 30 acquires lead information corresponding to the video file, wherein the lead information includes at least user information of target customers interested in the insurance products in the video file. The profile improvement module 40 improves the user profile of the target customers based on the lead information.

[0058] In one implementation, the copy generation module 10 includes:

[0059] The keyword determination unit is used to acquire user input information and decompose the user input information to obtain keywords. The keywords are used to reflect at least one or more of the product functions, product introduction, and applicable customer groups of the insurance product.

[0060] The copywriting filling unit is used to fill in the keywords with copywriting based on a preset copywriting material library to obtain the copywriting information.

[0061] In one implementation, the video generation module 20 includes:

[0062] A speech recognition unit is used to perform AI speech recognition on the text information to obtain speech information corresponding to the text information;

[0063] The material fusion unit is used to obtain content materials from a preset video material library and fuse the voice information with the content materials to obtain the video file, wherein the video file includes several video segments.

[0064] In one implementation, the material fusion unit includes:

[0065] The material fusion execution subunit is used to fuse the voice information with the content material using an open-source multimedia framework, and to determine the order and duration of each video segment in the video file.

[0066] In one implementation, the clue acquisition module 30 includes:

[0067] The clue pool construction unit is used to build a clue pool, the sources of which include individuals, teams, and companies.

[0068] The clue information acquisition unit is used to acquire clue information corresponding to the video file from the clue pool.

[0069] In one implementation, the apparatus further includes:

[0070] The points acquisition unit is used to obtain points information after the user profile is completed, and the points information is used to exchange for the clue information from the clue pool.

[0071] In one implementation, the apparatus further includes:

[0072] The clue transfer unit is used to actively transfer acquired clue information to obtain the acquired points if the points information is insufficient.

[0073] The functional principles of each module in the insurance marketing system based on the new media platform in this embodiment are the same as the functions to be implemented in the method steps of the above embodiments, and will not be repeated here.

[0074] Based on the above embodiments, the present invention also provides a terminal, the principle block diagram of which can be as follows: Figure 6 As shown. The terminal may include one or more processors 100 ( Figure 6 (Only one is shown in the image), a memory 101, and a computer program 102 stored in the memory 101 and executable on one or more processors 100, such as an insurance marketing implementation program based on a new media platform. When one or more processors 100 execute the computer program 102, they can implement the various steps in the embodiments of the insurance marketing implementation method based on a new media platform. Alternatively, when one or more processors 100 execute the computer program 102, they can implement the functions of each module / unit in the embodiments of the insurance marketing implementation method based on a new media platform, which is not limited here.

[0075] In one embodiment, the processor 100 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), off-the-shelf programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0076] In one embodiment, memory 101 may be an internal storage unit of an electronic device, such as a hard drive or RAM. Memory 101 may also be an external storage device of the electronic device, such as a plug-in hard drive, smart memory card (SMC), secure digital card (SD) card, flash memory card, etc. Furthermore, memory 101 may include both internal and external storage units. Memory 101 is used to store computer programs and other programs and data required by the terminal. Memory 101 can also be used to temporarily store data that has been output or will be output.

[0077] Those skilled in the art will understand that Figure 6 The block diagram shown is merely a partial structural diagram related to the present invention and does not constitute a limitation on the terminal to which the present invention is applied. A specific terminal may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0078] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the methods described above. Any references to memory, storage, operational databases, or other media used in the embodiments provided by this invention can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual operating data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAM bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0079] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A new media platform-based insurance marketing implementation method, characterized in that, The method adopts a Java micro-service framework, the Java micro-service framework adopts a loosely coupled architecture, each service can be independently deployed and maintained, and the method comprises: Based on the user input information, generate the script information, wherein the script information reflects the script related to the insurance product; Based on the script information, generate a video file, and publish the video file to a new media platform; Obtain the lead information corresponding to the video file, the lead information at least including the user information of the target customer interested in the insurance product in the video file; Based on the lead information, perfect the user portrait of the target customer; The method based on user input information, generating script information, comprises: Obtain user input information and disassemble the user input information to obtain keywords, the keywords at least for reflecting any one or more of the product function, product introduction, and applicable customer group of the insurance product; Based on the preset script material library, the script information is filled in the keywords, the script material library is an insurance industry material library, and the generated script information is a script related to the insurance product; Or, the method based on user input information, generating script information, comprises: Use a pre-trained neural network model to process the user input information, identify the keywords in the user input information through the neural network model when the neural network model receives the user input information, the neural network model is generated based on a large number of voice materials and / or text materials, the voice materials and / or text materials are divided according to the types of insurance products, and the candidate scripts corresponding to each voice material and / or text material in each insurance type are set in advance, the candidate scripts are set with multiple, and in each insurance type, one voice material and / or text material can correspond to multiple candidate scripts; Match the keywords with the insurance types to find the target insurance type that best matches the keywords; Through the neural network model, the semantics of the user input information is analyzed, the target voice material or target text material that best matches the user input information is determined according to the semantics, and in the target insurance type, multiple candidate scripts corresponding to the target voice material or target text material are found; These candidate scripts are sequentially displayed to the user, and the user can select the most suitable script from the candidate scripts as the script information; The method based on the script information to generate a video file, comprises: Perform AI speech recognition on the script information to obtain voice information corresponding to the script information; Obtain content materials from a preset video material library, and fuse the voice information and the content materials to obtain the video file, wherein the video file comprises a plurality of video segments; The method of fusing the voice information and the content materials to obtain the video file, comprises: Using an open-source multimedia framework to fuse the voice information and the content materials, and determining the order and length of each video segment in the video file; The method of obtaining the lead information corresponding to the video file, comprises: The lead pool is constructed, and the sources of the lead pool include three levels of individuals, teams and companies; The lead information corresponding to the video file is obtained from the lead pool; The lead pool is constructed, and the sources of the lead pool include three levels of individuals, teams and companies; When the customer browses the video file, the customer's viewing time, whether to comment, whether to click the detail information carried by the video file, whether to click the information collection link and the video preference are recorded, the lead information is generated, and the lead information is summarized to the lead pool according to the three levels of collection sources of individuals, teams and companies; When the individual lead expires, the individual lead is automatically transferred to the team lead or actively transferred to the team lead, and when the team lead expires, the team lead is automatically transferred to the company lead, so as to realize the intercommunication among the individual lead, the team lead and the company lead; The method further comprises: When the user portrait is completed, the integral information is obtained, and the integral information is used to exchange the lead information from the lead pool; If the integral information is insufficient, the obtained lead information is actively transferred to obtain the integral information; The Drools rule engine is introduced, the definition, maintenance and reference of the integral rule are completed through the operation end tool, the integral information can be accumulated and consumed, the accumulated integral information can be exchanged for the lead information in the platform, and the permission is also set, only the user with the corresponding permission can obtain the integral information; The acquisition records of the lead information of all users are counted, and the accumulation and expenditure of the integral information are counted, so as to analyze the lead acquisition situation and the integral situation of each user.

2. An insurance marketing implementation system based on a new media platform, characterized in that, The system adopts a Java micro-service architecture, and is used to implement the steps of the insurance marketing implementation method based on the new media platform of claim 1, and comprises: The script generation module is configured to generate script information based on user input information, wherein the script information reflects script related to an insurance product; The video generation module is configured to generate a video file based on the script information and publish the video file to a new media platform; The lead acquisition module is configured to obtain lead information corresponding to the video file, wherein the lead information at least includes user information of a target customer interested in an insurance product in the video file; The portrait improvement module is configured to improve a user portrait of the target customer based on the lead information.

3. A terminal, characterized by comprising: The terminal comprises a memory, a processor, and a new media platform-based insurance marketing implementation program stored in the memory and executable on the processor. When the processor executes the new media platform-based insurance marketing implementation program, the steps of the new media platform-based insurance marketing implementation method of claim 1 are implemented.

4. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a new media platform-based insurance marketing implementation program. When the processor executes the new media platform-based insurance marketing implementation program, the steps of the new media platform-based insurance marketing implementation method of claim 1 are implemented.

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