TWM672784U - Customer-specific marketing strategy generation system based on social platform labeling results - Google Patents

Abstract

A customer-specific marketing strategy generation system based on social platform labeling results includes: a smart device, a social platform, a bank customer data server, a financial product data server, and a label and data analysis server. The label and data analysis server further includes: a transmission module, a label creation module, a label database, a selection and query module, a label analysis module, an attribute analysis module, and a dedicated marketing information generation module. The smart device is connected to the social platform, and the social platform, the bank customer data server, and the financial product data server are connected to the social platform. The product data server is connected to the label and data analysis servers, respectively. The transmission module is connected to the label creation module, the selection and query module, and the attribute analysis module, respectively. The label database is connected to the label creation module and the selection and query module, respectively. The label analysis module is connected to the selection and query module and the exclusive marketing information generation module, respectively. The exclusive marketing information generation module is connected to the attribute analysis module. This system can achieve the technical effect of providing exclusive financial product marketing through social platforms to improve marketing efficiency and accuracy.

Description

Customer-specific marketing strategy generation system based on social platform labeling results

This project involves a marketing strategy generation system, specifically a client-specific marketing strategy generation system based on labeling results from social media platforms.

With the development of social media platforms, they now offer the ability to push posts or messages to users. Furthermore, they also allow users to tag posts or messages, allowing them to filter posts or messages based on tags to find the ones they need.

Due to these characteristics, a product marketing method has developed that combines push posts or messages with tags. However, this method can only provide posts or messages and tags to all users of the social platform through the push function provided by the social platform. However, this product marketing method does not provide the function of categorizing and filtering social users, which results in high marketing costs and cannot provide specific product marketing posts or messages to specific users.

For banks, the financial products they launch are simply analyzed through big data on their customers to adjust whether to add or remove financial products. The big data held by banks is relatively fixed, such as credit card details, account details, financial product trading data, etc. The results of the analysis can only satisfy a specific range of groups and cannot be promoted to potential non-bank customers. Whether the marketing of bank financial products can be combined with the use of social media posts or messages and tags will be the goal of this creation.

In summary, it can be seen that previous technologies have long suffered from the inefficiency of promoting marketing through social platforms and the inability to accurately provide specific marketing posts or messages to specific users. Therefore, it is necessary to propose improved technical means to solve this problem.

Given the inefficiencies of previous technologies for advertising and marketing through social media platforms, including the inability to accurately target specific advertising posts or messages to specific users, this invention proposes a system for generating client-specific marketing strategies based on social media platform labeling. The system:

This work reveals a system for generating client-specific marketing strategies based on labeling results from social media platforms.

First, this invention discloses a system for generating customer-specific marketing strategies based on labeling results from social media platforms. This system includes: a smart device, a social media platform, a bank customer data server, a financial product data server, and a label and data analysis server. The label and data analysis server further includes: a transmission module, a label creation module, a label database, a selection and query module, a label analysis module, an attribute analysis module, and a module for generating customized marketing information.

The smart device is installed and executed with a social platform application, which is bound to the identity identification information. When the financial product marketing information received and displayed by the social platform application is clicked, a labeling instruction corresponding to the financial product marketing information is triggered and provided, and the social platform application receives and displays exclusive financial product marketing information.

The social platform records each piece of financial product marketing information and the corresponding at least one preference tag. When receiving a tagging instruction from a social platform application, the social platform application associates the identity information bound to the social platform application with the at least one preference tag corresponding to the financial product marketing information. The associated identity information and at least one preference tag are provided through an application programming interface (API). The platform then receives the exclusive financial product marketing information corresponding to the identity information through the API and provides the exclusive financial product marketing information to the social platform application corresponding to the identity information.

The bank's customer data server has a customer database that stores identity information, basic information, and historical financial transaction data. When receiving identity information, it queries the customer database and provides the basic information and historical financial transaction data corresponding to the received identity information.

The financial product data server has a financial product database that stores financial product information and product properties. When receiving the attribute analysis results, it queries the financial product database and provides product properties, including the financial product information and product properties corresponding to the attribute analysis results.

The transmission module obtains the associated identity information and at least one preference tag from the social platform through the application program interface, provides the identity information to the bank customer data server, receives the basic data and historical financial transaction data corresponding to the identity information from the bank customer data server, provides the attribute analysis results to the financial product data server, receives the financial product information and product properties corresponding to the attribute analysis results from the financial product data server, and provides exclusive financial product marketing information specific to the identity information to the social platform through the application program interface; the tag creation module transmits the identity information and the tag to the social platform. The at least one preference tag is stored in a tag database; a selection and query module selects identity identification information from the tag database and queries for at least one corresponding preference tag; a tag analysis module analyzes the at least one query preference tag to obtain a tag analysis result; an attribute analysis module performs attribute analysis on the basic data and historical financial transaction data to obtain an attribute analysis result; and a dedicated marketing information generation module screens the received product attributes including financial product information corresponding to the tag analysis result, thereby generating dedicated financial product marketing information specific to the identity identification information based on the marketing method in the basic data.

The system disclosed in this invention is as described above. When a smart device views financial product marketing information provided by a social platform, the tag and data analysis server associates and stores identity identification information with preference tags. When generating exclusive financial product marketing information, the preference tags are analyzed along with the corresponding basic data and historical financial transaction data to obtain tag analysis results and attribute analysis results, respectively. The attribute analysis results are used to obtain financial product information and product properties. The financial product information is then further screened based on the tag analysis results. Based on the marketing methods in the basic data, exclusive financial product marketing information specific to the identity identification information is generated and fed back to the smart device.

Through the aforementioned technical means, this invention can achieve the technical effect of providing exclusive financial product marketing to improve marketing efficiency and accuracy.

The following will be used with diagrams and examples to explain in detail the implementation of this invention, so that the author can fully understand how this invention applies technical means to solve technical problems and achieve technical effects, and implement them accordingly.

The following first explains the client-specific marketing strategy generation system based on social platform labeling results disclosed in this invention. Please refer to "Figure 1", which is a system block diagram of the client-specific marketing strategy generation system based on social platform labeling results disclosed in this invention.

First, this invention discloses a system for generating customer-specific marketing strategies based on labeling results from social platforms. This system includes: a smart device 10, a social platform 20, a bank customer data server 30, a financial product data server 40, and a label and data analysis server 50. The label and data analysis server 50 further includes: a transmission module 51, a label creation module 52, a label database 53, a selection and query module 54, a label analysis module 55, an attribute analysis module 56, and a dedicated marketing information generation module 57.

Please refer to Figure 2, which shows the architecture of this client-specific marketing strategy generated based on social media platform labeling results.

The smart device 10 has a social platform application 11 installed and running. The social platform application 11 is, for example, Line, FB, Instagram, threads, etc. This is only used as an example and does not limit the scope of application of this creation. In addition, the social platform application 11 is bound to identity information, such as bank account number, bank digital membership, bank digital financial certificate, etc. This is merely an example and does not limit the scope of application of this invention. When the social platform application 11 receives and displays financial product marketing information from the social platform 20, when the financial product marketing information is clicked (i.e., the user operates the smart device 10 to touch and click on the financial product marketing information), the social platform application 11 will trigger a labeling instruction corresponding to the financial product marketing information and provide a labeling instruction 61 to the social platform 20.

The social platform 20 records each piece of financial product marketing information and at least one corresponding preference tag 62. Examples of the preference tags 62 include: high risk, low risk, high return, guaranteed return, long-term operation, short-term operation, etc. These are merely examples and do not limit the scope of application of this invention. When the social platform 20 receives a labeling instruction 61 from the social platform application 11, the social platform 20 associates the identity identification information 63 bound to the social platform application 11 (recorded in the labeling instruction 61) with at least one preference tag 62 corresponding to the financial product marketing information.

Specifically, assuming that the social platform 20 records marketing information for financial product A and the corresponding preference tags 62 of "high risk" and "short-term operation", when the social platform 20 obtains a labeling instruction 61 (corresponding to the marketing information for financial product A) from the social platform application 11, the social platform 20 will associate the identity identification information 63 bound to the social platform application 11 with the preference tags 62 corresponding to the marketing information for financial product A, namely "high risk" and "short-term operation".

The social platform 20 then provides the associated identity identification information 63 and at least one preference tag 62 to the tag and data analysis server 50 through the application programming interface. The transmission module 51 of the tag and data analysis server 50 obtains the associated identity identification information 63 and at least one preference tag 62 from the social platform 20 through the application programming interface. Then, the tag creation module 52 stores the identity identification information 63 and at least one preference tag 62 in correspondence to the tag database 53.

The bank customer data server 30 pre-establishes a customer database 31 that stores corresponding identification information, basic information, and historical financial transaction data. The aforementioned basic information includes, for example, name, contact number, household address, mailing address, age, and marketing methods (e.g., social media platform messages, text messages, emails, etc.). The aforementioned historical financial transaction data includes, for example, credit card transaction details, bank account details, and financial product trading information. These examples are provided here for illustrative purposes only and do not limit the scope of application of this invention.

The financial product data server 40 pre-establishes a financial product database 41 that stores corresponding financial product information and product properties. The aforementioned financial product information includes, for example, A fund information, B insurance information, C foreign currency information, D loan information, and E fixed deposit information, etc. The aforementioned product properties include, for example, funds, insurance, foreign currency, loans, savings, age ranges, regional ranges, risks (for example, high risk, low risk, etc.), returns (for example, high returns, guaranteed returns, etc.), cycles (for example, long-term operations, short-term operations, cyclical operations, etc.), etc. These are merely examples and are not intended to limit the scope of application of this invention.

The tag and data analysis server 50 can periodically or irregularly select multiple identity identification information 63 from the tag database 53 through the selection and query module 54 and query at least one corresponding preference tag. The aforementioned periodicity is, for example, weekly, monthly, etc. It is worth noting that the selection and query module 54 can select each identity identification information 63 from the tag database 53 in sequence and query at least one corresponding preference tag. The selection and query module 54 can also select all marketing-receiving identity identification information 63 from the tag database 53 and query at least one corresponding preference tag. This is only an example for illustration and does not limit the scope of application of this invention.

Next, the label analysis module 55 analyzes at least one of the queried preference labels to obtain a label analysis result. Specifically, assuming that the queried preference labels are "high risk", "guaranteed return" and "long-term operation", the preference label "high risk" is obviously inconsistent with the preference labels "guaranteed return" and "long-term operation". Therefore, the label analysis module 55 will exclude the preference label "high risk" to obtain a label analysis result of "guaranteed return". Assuming that the preference labels are "high risk", "high return" and "long-term operation" respectively, the preference label "long-term operation" is obviously inconsistent with the preference labels "high risk" and "high return". Therefore, the label analysis module 55 will exclude the preference label "long-term operation" to obtain the label analysis results of "high risk" and "high return". This is only an example to illustrate, and does not limit the application scope of this creation.

After the selection and query module 54 selects the identity identification information 63, the selected identity identification information 63 is provided to the bank customer data server 30 via the transmission module 51. The bank customer data server 30 then queries the customer database 31 for basic data 64 and historical financial transaction data 65 corresponding to the selected identity identification information 63. The bank customer data server 30 then provides the retrieved basic data 64 and historical financial transaction data 65 to the tag and data analysis server 50.

Then, the attribute analysis module 56 can perform attribute analysis on the basic data 64 and the historical financial transaction data 65 to obtain the attribute analysis result 66. Specifically, assuming that the age in the basic data 64 is 35, the financial product trading information in the historical financial transaction data 65 is fund trading, and the credit card swiping details are insurance premium installments, based on the attribute of "age is 35", the attribute analysis module 56 can analyze and obtain the attribute of "21 to 40 years old", based on the attribute of "fund trading", the attribute analysis module 56 can analyze and obtain the attribute of "fund", and based on the attribute of "insurance premium installments", the attribute analysis module 56 can analyze and obtain the attribute of "insurance premium installments". The attribute analysis result 66 obtained by the attribute analysis module 56 is "age range 21 to 40", "fund" and "insurance". Assuming that the age in the basic data 64 is 55, the financial product trading information in the historical financial transaction data 65 is time deposits and the bank account details are regular income (i.e. salary account), based on the "age is 55" attribute analysis module 56, it can be analyzed that it has the attribute of "age range 41 to 60", based on the "time deposit" attribute analysis module 56, it can be analyzed that it has the attribute of "savings", and based on the "regular income" attribute analysis module 56, it can be analyzed that it has The "cycle" attribute, i.e., the attribute analysis result 66 obtained by the attribute analysis module 56, is "age range 41 to 60", "savings", and "cycle". This is merely an example and does not limit the scope of application of this invention.

After the attribute analysis module 56 generates the attribute analysis result 66, it is provided to the financial product data server 40 via the transmission module 51. The financial product data server 40 queries the financial product database 41 for product properties, including the financial product information 67 and product properties 68 corresponding to the attribute analysis result 66. The financial product data server 40 then provides the retrieved financial product information 67 and product properties 68 to the tag and data analysis server 50.

Specifically, if the attribute analysis result 66 is "age range 21 to 40," "fund," and "insurance," the financial product data server 40 can query the financial product database 41 for financial product information 67 and product properties 68 whose product properties include "age range 21 to 40," "fund," or "insurance." If the attribute analysis result 66 is "age range 41 to 60," "savings," and "cycle," the financial product data server 40 can query the financial product database 41 for financial product information 67 and product properties 68 whose product properties include "age range 41 to 60," "savings," or "cycle." This is merely an example and does not limit the scope of application of this invention.

Next, the exclusive marketing information generation module 57 further selects the financial product information 67 corresponding to the product properties 68 including the tag analysis results, and generates exclusive financial product marketing information 69 exclusive to the identity identification information 63 based on the marketing method in the basic data 64. The tag and data analysis server 50 then provides the exclusive financial product marketing information 69 corresponding to the identity identification information 63 to the social platform 20 via the application programming interface. The social platform 20 can then provide the exclusive financial product marketing information 69 to the social platform application 11 corresponding to the identity identification information 63 and display it. In this way, exclusive financial product marketing information is provided for the identity identification information, which not only improves marketing efficiency but also realizes the technical effect of precision marketing.

It is worth noting that when the exclusive marketing information generation module 57 generates exclusive financial product marketing information 69 specific to the identity identification information 63, it can also set at least one corresponding preference tag 62 based on the product attributes 68 corresponding to the financial product information 67. The transmission module 51 then provides the exclusive financial product marketing information 69 specific to the identity identification information 63 and the at least one preference tag 62 to the social platform via an application programming interface for recording. For the subsequent process of clicking on the exclusive financial product marketing information 69, please refer to the relevant process description of the financial product marketing information being clicked above, and will not be repeated here.

In addition, the exclusive marketing information generation module 69 generates exclusive financial product marketing information 69 for the identity identification information 63 based on the marketing method in the basic data 64. When the marketing method is telephone marketing, the exclusive marketing information generation module 57 further selects a telephone marketing personnel based on the product properties 68 corresponding to the filtered financial product information 67, and then sends marketing instructions to the electronic device of the telephone marketing personnel to provide telephone marketing to the customer.

When the exclusive financial product marketing information 69 received and displayed by the social platform application 11 is clicked, the social platform application 11 will trigger and provide a discount request 71 corresponding to the exclusive financial product marketing information 69 to the social platform 20. When the validity period of the discount request 71 is verified, the social platform 20 will grant the social platform application 11 the corresponding discount points (for example, 50 points, 100 points, etc., which are examples here only and do not limit the scope of application of this creation) based on the discount request 71. Specifically, assuming the offer is valid between 2025/01/01 and 2025/12/31, and the date of submitting Offer Request 71 is 2025/04/01, Offer Request 71 will pass verification. assuming the offer is valid between 2025/01/01 and 2025/12/31, and the date of submitting Offer Request 71 is 2026/01/31, Offer Request 71 will fail verification. This is just an example and does not limit the scope of application of this creation.

When the exclusive financial product marketing information 69 received and displayed by the social platform application 11 is clicked, a counting request 72 corresponding to the exclusive financial product marketing information 69 is triggered and provided to the social platform 20. The social platform 20 then provides the counting request 72 to the tag and data analysis server 50 through the application programming interface. The tag and data analysis server 50 further includes a promotion and counting module 58 that accumulates the number of clicks corresponding to the identity identification information 63. Based on the number of clicks, a promotion response 73 corresponding to the threshold is fed back to the social platform 20 through the application programming interface. The social platform 20 gives the social platform application 11 corresponding promotion points based on the promotion response 73.

Specifically, assuming that the number of clicks corresponding to the identification information 63 is "2", the first threshold is "1 to 3", the second threshold is "4 to 5", and the third threshold is "greater than or equal to 6", the social platform 20 provides a counting request 72 to the tag and data analysis server 50 through the application program interface, and the discount and counting module 58 accumulates the number of clicks corresponding to the identification information 63 as "2" to "3", and the number of clicks "3" corresponds to the discount response 73 corresponding to the first threshold as "50 points", which is transmitted by the transmission module 51 through The application programming interface feedback discount response 73 is "50 points"; on the social platform 20, a counting request 72 is provided to the tag and data analysis server 50 through the application programming interface, and the discount and counting module 58 accumulates the number of clicks corresponding to the identity identification information 63, which is "3", to "4", and the number of clicks "4" corresponds to the discount response 73 corresponding to the second threshold value, which is "100 points". The transmission module 51 feeds back the discount response 73 of "100 points" through the application programming interface. This is only an example for explanation and does not limit the application scope of this creation.

When the exclusive financial product marketing information 69 received and displayed by the social platform application 11 is clicked, a promotion request 71 corresponding to the exclusive financial product marketing information 69 is triggered and provided to the social platform 20. The social platform 20 then provides the promotion request 71 to the financial product trading server 80 through the application programming interface. When the identity identification information 63 contained in the promotion request 71 and the financial product trading information 69 of the exclusive financial product marketing information 69 are combined, the promotion request 71 is sent to the financial product trading server 80. Upon verification (i.e., verifying that the identity identification information 63 actually purchases the financial product corresponding to the exclusive financial product marketing information 69), the financial product trading server 80 feeds back a promotional response 73 to the social platform 20. The social platform 20 then grants the social platform application 11 corresponding promotional points (e.g., 50 points, 100 points, etc., for example only, and not intended to limit the scope of application of this invention) based on the promotional response 73.

When the exclusive financial product marketing information 69 received and displayed by the social platform application 11 is clicked, a discount request 71 corresponding to the exclusive financial product marketing information 69 is triggered and provided to the social platform 20. The social platform 20 then provides the discount request 71 to the financial product trading server 80 through the application program interface. When the identity information 63 contained in the discount request 71 and the financial product transaction of the exclusive financial product marketing information 69 are verified (i.e., the identity information 63 is verified to be the purchase of the exclusive financial product), the discount request 71 is sent to the financial product trading server 80. When the user verifies the identity identification information 63 and the number of transactions of the exclusive financial product marketing information 69 (when the identity identification information 63 is verified to have actually purchased the financial product corresponding to the exclusive financial product marketing information 69, the number of transactions is accumulated to 1), the financial product trading server 80 feeds back a discount response 73 corresponding to the threshold value to the social platform 20 based on the number of transactions. The social platform 20 then gives the social platform application 11 corresponding discount points based on the discount response 73.

Specifically, assuming that the number of transactions of the identity identification information 63 and the exclusive financial product marketing information 69 is "4", the first threshold is "1 to 3", the second threshold is "4 to 5", and the third threshold is "greater than or equal to 6", it is confirmed that the number of transactions of the identity identification information 63 and the exclusive financial product marketing information 69 is "4", and the corresponding preferential response 73 corresponding to the second threshold is "100 points", and the preferential response 73 is fed back by the financial product trading server 80 through the application program interface as "100 points"; assuming that the identity identification information 63 The number of transactions of the exclusive financial product marketing information 69 is "6," the first threshold is "1 to 3," the second threshold is "4 to 5," and the third threshold is "greater than or equal to 6." The number of transactions of the confirmed identity identification information 63 and the exclusive financial product marketing information 69 is "6," and the corresponding preferential response 73 corresponding to the third threshold is "200 points." The preferential response 73 of "200 points" is fed back by the financial product trading server 80 through the application programming interface. This is merely an example and does not limit the scope of application of this creation.

Next, we will explain the operation process of this creation. Please also refer to Figures 3A through 3D, which are flowcharts of the client-specific marketing strategy generated by this creation based on the labeling results of social platforms.

First, the bank customer data server has a corresponding customer database that stores identity information, basic information, and historical financial transaction data (step 901); then, the financial product data server has a corresponding financial product database that stores financial product information and product properties (step 902); then, the smart device installs and runs a social platform application, and the social platform application The user is bound to the identity information (step 903); then, when the financial product marketing information received and displayed by the social platform application is clicked, a labeling instruction corresponding to the financial product marketing information is triggered and provided to the social platform (step 904); then, the social platform records each financial product marketing information and the corresponding at least one preference label (step 905); then, when the social platform itself When the group platform application receives the labeling instruction, it associates the identity information bound to the social platform application with at least one preference tag corresponding to the financial product marketing information (step 906). Then, the social platform provides the associated identity information and at least one preference tag to the tag and data analysis server through the application program interface (step 907). Then, the tag and data analysis server The server stores the identity identification information and at least one preference tag in a corresponding manner in the tag database (step 908). Then, the tag and data analysis server selects the identity identification information from the tag database and searches for at least one corresponding preference tag (step 909). Then, the tag and data analysis server analyzes the searched at least one preference tag to obtain a tag analysis result (step 910). Then, the tag and data analysis server provides the selected identification information to the bank customer data server (step 911); then, the bank customer data server queries the customer database for basic data and historical financial transaction data corresponding to the received identification information (step 912); then, the bank customer data server provides the basic data and historical financial transaction data that have been retrieved to the tag and data analysis server (step 913); then, the tag and data analysis server performs attribute analysis on the basic data and historical financial transaction data to obtain attribute analysis results (step 914); then, the tag and data analysis server provides the attribute analysis results to the financial product data server (step 915); then, the financial product data server queries and The product properties, including financial product information corresponding to the attribute analysis results, and the product properties are provided to the tag and data analysis server (step 916). The tag and data analysis server then filters the received product properties to include financial product information corresponding to the tag analysis results (step 917). The tag and data analysis server then generates exclusive financial product marketing information specific to the identity identification information based on the marketing method in the basic data (step 918). The tag and data analysis server then provides the exclusive financial product marketing information specific to the identity identification information to the social platform via an application programming interface (step 919). The social platform then provides the exclusive financial product marketing information to the social platform application corresponding to the identity identification information and displays it (step 920).

Smart device 10, social platform 20, bank customer data server 30, financial product data server 40, tag and data analysis server 50, and financial product trading server 80 are all different forms of computing equipment. Please refer to "Figure 4", which is a schematic diagram of the components of the computing equipment proposed in this work.

The computing device described in this invention includes, but is not limited to, hardware components such as one or more processors 1001, one or more memory modules 1002, and a bus 1003. Bus 1003 can connect various hardware components. Through these hardware components, the computing device can load and execute an operating system, allowing the operating system to run on the computing device, and can also execute software or programs. The computing device also includes a housing 1009, within which the aforementioned hardware components are housed.

The bus 1003 of the computing device proposed in this invention may include one or more types of buses, such as a data bus, an address bus, a control bus, an expansion bus, and/or a local bus. Buses of the computing device include, but are not limited to, parallel Industry Standard Architecture (ISA) buses, Peripheral Component Interconnect (PCI) buses, Video Electronics Standards Association (VESA) local buses, and serial Universal Serial Bus (USB) and Peripheral Component Interconnect Express (PCI-E) buses.

The computing device of the present invention includes a processor 1001 coupled to a bus 1003. The processor 1001 includes a register set or register space, which may be completely located on the processing chip, or completely or partially located outside the processing chip and coupled to the processor via dedicated electrical connections and/or via a bus. The processor 1001 may be a processing unit, a microprocessor, or any suitable processing element. If the computing device is a multi-processor device, that is, the computing device includes multiple processors, the processors included in the computing device are all the same or similar and are coupled and communicated via a bus. The processor 1001 can interpret a series of multiple instructions to perform specific calculations or operations, such as mathematical operations, logical operations, data comparison, copying/moving data, etc., to run an operating system or execute various programs, modules, and/or components.

The processor 1001 of the computing device can be coupled to a chipset or electrically connected to the chipset via a bus 1003. A chipset is composed of one or more integrated circuits (ICs), including a memory controller and a peripheral input/output (I/O) controller. In other words, the memory controller and the peripheral input/output (I/O) controller can be included in a single IC or implemented using two or more ICs. A chipset typically provides I/O and memory management functions, as well as multiple general-purpose and/or dedicated registers, timers, etc. These general-purpose and/or dedicated registers and timers can be accessed or used by one or more processors coupled or electrically connected to the chipset.

The computing device's processor 1001 can also access data in a memory module 1002 and a mass storage area installed on the computing device through a memory controller. The aforementioned memory module 1002 includes any type of volatile memory and/or non-volatile memory (NVRAM), such as static random access memory (SRAM), dynamic random access memory (DRAM), flash memory (Flash), read-only memory (ROM), etc. The aforementioned mass storage area can include any type of storage device or storage media, such as a hard drive, optical disc, flash drive (flash memory), memory card, solid state drive (SSD), or any other storage device. In other words, the memory controller can access data in static random access memory (SRAM), dynamic random access memory (DRAM), flash memory, hard drives, and SSDs.

The computing device's processor 1001 can also connect to and communicate with peripheral devices or interfaces, such as peripheral output devices, peripheral input devices, communication interfaces, and a GPS receiver, through a peripheral input/output controller via bus 1003. A peripheral input device can be any type of input device, such as a keyboard, mouse, trackball, touchpad, or joystick. A peripheral output device can be any type of output device, such as a display or printer. The peripheral input device and peripheral output device can also be the same device, such as a touchscreen. The communication interface may include a wireless communication interface and/or a wired communication interface. The wireless communication interface may include an interface supporting wireless local area networks (WLANs) such as Wi-Fi and Zigbee, Bluetooth, infrared, near-field communication (NFC), mobile communication networks such as 3G/4G/5G, or other wireless data transmission protocols. The wired communication interface may include an Ethernet device, an ATM device, a DSL modem, a cable modem, etc. Processor 1001 may periodically poll various peripheral devices and interfaces, enabling the computing device to input and output data through the various peripheral devices and interfaces, and also to communicate with another computing device having the aforementioned components.

The modules mentioned in the smart device 10, social platform 20, bank customer data server 30, financial product data server 40, tag and data analysis server 50, and financial product trading server 80 are typically generated after the processor 1001 in each computing device executes a specific program loaded into the memory module 1002, or are included in the processor 1001.

In summary, when a smart device views financial product marketing information provided by a social platform, the tag and data analysis server associates and stores the identity identification information with the preference tags. When generating exclusive financial product marketing information, the preference tags are analyzed alongside the corresponding basic data and historical financial transaction data to produce tag analysis results and attribute analysis results, respectively. The attribute analysis results reveal the financial product information and product properties. The financial product information is then further screened based on the tag analysis results, and exclusive financial product marketing information, tailored to the identity identification information and the marketing methods in the basic data, is generated and fed back to the smart device.

This technology can address the inefficiency of previous technologies in advertising and marketing through social media platforms, as well as the inability to accurately provide specific marketing posts or messages to specific users. It can then achieve the technical effectiveness of providing exclusive financial product marketing to improve marketing efficiency and precision.

While the implementation methods disclosed above are limited to the invention, these are not intended to directly limit the scope of patent protection for this invention. Anyone with ordinary skill in the art to which this invention relates may make minor changes in the form and details of the implementation without departing from the spirit and scope of this invention. The scope of patent protection for this invention shall remain subject to the scope of the attached patent application.

10: Smart Device 11: Social Platform Application 20: Social Platform 30: Bank Customer Data Server 31: Customer Database 40: Financial Product Data Server 41: Financial Product Database 50: Tag and Data Analysis Server 51: Transmission Module 52: Tag Creation Module 53: Tag Database 54: Selection and Query Module 55: Tag Analysis Module 56: Attribute Analysis Module 57: Customized Marketing Information Generation Module 58: Promotion and Counting Module 61: Labeling Instructions 62: Preference Tags 63: Identity Information 64: Basic Data 65: Historical Financial Transaction Data 66: Attribute Analysis Results 67: Financial Product Information 68: Product Properties 69: Exclusive Financial Product Marketing Information 71: Offer Request 72: Count Request 73: Offer Response 80: Financial Product Trading Server 901-920: Steps 1001: Processor 1002: Memory Module 1003: Bus 1009: Housing

Figure 1 is a block diagram of the system for generating customer-specific marketing strategies based on social media platform labeling results. Figure 2 is a schematic diagram of the architecture of this system for generating customer-specific marketing strategies based on social media platform labeling results. Figures 3A through 3D are flow charts of this system for generating customer-specific marketing strategies based on social media platform labeling results. Figure 4 is a schematic diagram of the components of the computing device proposed in this invention.

10: Smart devices

11: Social Platform Applications

20: Social Platform

30: Bank customer data server

31: Customer Database

40: Financial Product Data Server

41: Financial Product Database

50: Tag and data analysis server

51: Transmission module

52: Label creation module

53: Tag database

54: Selection and Query Module

55: Tag Analysis Module

56: Attribute Analysis Module

57: Exclusive marketing information generation module

58: Discount and counting module

80: Financial Product Trading Server

Claims (5)

A customer-specific marketing strategy generation system based on social platform labeling results, the system comprising: a smart device, on which a social platform application is installed and executed, the social platform application being bound to identity identification information, and when a financial product marketing information received and displayed by the social platform application is clicked, triggering and providing a labeling instruction corresponding to the financial product marketing information, and the social platform application receiving and displaying a specific financial product marketing information; a social platform, recording each financial product marketing information and at least one corresponding preference tag, and when the labeling instruction is obtained from the social platform application, establishing an association between the identity identification information bound to the social platform application and the at least one preference tag corresponding to the financial product marketing information, and through an application programming interface (API) The bank comprises a customer service representative, comprising: a bank customer service representative, a ... A financial product data server having a financial product database storing financial product information and product properties. Upon receiving a property analysis result, the server queries the financial product database and provides the product properties, including the financial product information and product properties corresponding to the property analysis result. A tag and data analysis server further comprising: a transmission module that obtains the associated identity information and the at least one preference tag from the social platform via the application programming interface, provides the identity information to the bank customer data server, receives the basic data and the historical financial transaction data corresponding to the identity information from the bank customer data server, provides the attribute analysis results to the financial product data server, receives the financial product information and product properties corresponding to the attribute analysis results from the financial product data server, and provides the exclusive financial product marketing information specific to the identity information to the social platform via the application programming interface; a tag creation module that stores the identity information and the at least one preference tag in a tag database in a corresponding manner; a selection and query module that selects the identity identification information from the tag database and queries the corresponding at least one preference tag; a tag analysis module that analyzes the at least one preference tag that has been retrieved to obtain a tag analysis result; a property analysis module that performs property analysis on the basic data and the historical financial transaction data to obtain an property analysis result; and a dedicated marketing information generation module that screens the received financial product information whose product properties include the corresponding tag analysis result, and generates dedicated financial product marketing information specific to the identity identification information based on the marketing method in the basic data. A customer-specific marketing strategy generation system based on social platform labeling results as described in claim 1, wherein when the exclusive financial product marketing information received and displayed by the social platform application is clicked, a discount request corresponding to the exclusive financial product marketing information is triggered and provided to the social platform. When the validity period of the discount request is verified, the social platform grants the social platform application corresponding discount points based on the discount request. A customer-specific marketing strategy generation system based on social platform labeling results as described in claim 1, wherein when the exclusive financial product marketing information received and displayed by the social platform application is clicked, a counting request corresponding to the exclusive financial product marketing information is triggered and provided to the social platform. The social platform then provides the counting request to the label and data analysis server through the application program interface. The label and data analysis server further includes a discount and counting module that accumulates a number of clicks corresponding to the identity identification information. Based on the number of clicks, a discount response corresponding to a threshold is fed back to the social platform through the application program interface. The social platform gives the social platform application corresponding discount points based on the discount response. A customer-specific marketing strategy generation system based on social platform labeling results as described in claim 1, wherein when the exclusive financial product marketing information received and displayed by the social platform application is clicked, a promotional request corresponding to the exclusive financial product marketing information is triggered and provided to the social platform. The social platform then provides the promotional request to a financial product trading server through the application programming interface. When the identity identification information included in the promotional request and the financial product transaction of the exclusive financial product marketing information are verified, the financial product trading server feeds back a promotional response to the social platform through the application programming interface. The social platform gives the social platform application corresponding promotional points based on the promotional response. The client-specific marketing strategy generation system based on social platform labeling results as described in claim 1, wherein when the exclusive financial product marketing information received and displayed on the social platform application is clicked, a discount request corresponding to the exclusive financial product marketing information is triggered and provided to the social platform, and the social platform then provides the discount request to a financial product trading server through the application program interface. When the discount request contains When a financial product transaction using the identity identification information and the exclusive financial product marketing information is verified, the number of transactions using the identity identification information and the exclusive financial product marketing information is confirmed. The financial product transaction server feeds back a promotional response corresponding to a threshold to the social platform via an application programming interface based on the number of transactions. The social platform then awards corresponding promotional points to the social platform application based on the promotional response.