Big data-based keyword advertising marketing system

Abstract

An advertising marketing system according to one embodiment of the present disclosure may include: a data collection unit connected to a management server of an online platform with which business is affiliated, for collecting structured data and unstructured data; a data storage unit for storing collected data and defining classifications and relationships to build big data; a target analysis unit for analyzing stored data to generate customized advertising information based on consumer interest; and an advertising server for transmitting the generated target advertising information to a management server of a matched online platform.

Description

Technology Field

[0001] The present disclosure relates to a big data-based keyword advertising marketing system. Background Technology

[0002] The online shopping and digital marketing markets are growing rapidly due to advancements in internet and mobile technologies. In particular, technology that analyzes users' online behavior data to provide personalized advertisements is establishing itself as a key marketing strategy.

[0003] Traditional advertising methods typically involved the bulk display of specific products, but this approach has limitations in that it fails to adequately reflect the interests and purchasing patterns of individual consumers. Consequently, there is a growing need for a system that provides personalized advertising by comprehensively analyzing both structured user data (e.g., gender, age, location) and unstructured data (e.g., search history, time spent on pages, wishlist information).

[0004] However, existing advertising marketing systems suffer from problems such as limitations on information sharing between online platforms during the data collection process, inefficiencies arising from data processing and storage, and a lack of algorithm optimization for accurate target analysis. Accordingly, a new advertising marketing system is required that can collect and analyze data from multiple online platforms to provide optimal, customized advertisements. The problem to be solved

[0005] The present invention is an advertising marketing system developed to solve the above-mentioned problems, and has the following objectives.

[0006] First, it provides technology that generates personalized advertising information for individual consumers by comprehensively analyzing structured and unstructured data collected from various online platforms.

[0007] Second, by linking with the online platform's management server centered on the advertising server, it enhances the efficiency of advertising marketing and enables the real-time provision of advertising information.

[0008] Third, security is enhanced by anonymizing and encrypting personal information during the data collection process, and appropriate data utilization policies are established in consideration of restrictions on information sharing between online platforms.

[0009] Fourth, by utilizing big data analysis and AI-based target analysis techniques, it is possible to predict consumer purchasing patterns and automatically set optimized advertising strategies.

[0010] The problems that the present invention aims to solve are not limited to those mentioned above, and other unmentioned problems will be clearly understood by a person skilled in the art from the description below. means of solving the problem

[0011] An advertising marketing system according to one embodiment of the present disclosure may include: a data collection unit connected to a management server of an online platform with which business is affiliated, for collecting structured data and unstructured data; a data storage unit for storing collected data and defining classifications and relationships to build big data; a target analysis unit for analyzing stored data to generate customized advertising information based on consumer interest; and an advertising server for transmitting the generated target advertising information to a management server of a matched online platform. Effects of the invention

[0012] The advertising marketing system according to the present invention has the following effects.

[0013] First, by comprehensively analyzing data collected from various online platforms, customized advertising information tailored to consumer interests can be provided.

[0014] Second, by linking the advertising server and the management server, advertising information can be transmitted in real time, thereby maximizing the marketing effectiveness of the online platform.

[0015] Third, by applying anonymization and encryption technologies for personal information protection, data security can be ensured, and the issue of information sharing between online platforms can be resolved.

[0016] Fourth, advertising efficiency can be increased by utilizing artificial intelligence and big data analysis to predict consumer behavior and automatically set optimal advertising strategies.

[0017] The effects of the present invention are not limited to those mentioned above, and other unmentioned effects will be clearly understood by a person skilled in the art from the description below. Brief explanation of the drawing

[0018] Various embodiments are described with reference to the drawings, wherein similar reference numbers are used to collectively refer to similar components. In the following embodiments, for illustrative purposes, a number of specific details are presented to provide a comprehensive understanding of one or more embodiments. However, it will be apparent that such embodiment(s) may be practiced without these specific details. Figure 1 is a configuration diagram of an advertising marketing system according to the present invention. FIG. 2 is a block diagram of an advertising server according to the present invention. FIG. 3 is a flowchart illustrating an advertising marketing method according to the present invention. Specific details for implementing the invention

[0019] Various embodiments and / or aspects are now disclosed with reference to the drawings. For illustrative purposes, numerous specific details are disclosed in the following description to aid in a general understanding of one or more aspects. However, it will be apparent to those skilled in the art that these aspects may be practiced without such specific details. The following description and the accompanying drawings describe specific exemplary aspects of one or more aspects in detail. However, these aspects are exemplary, and some of the various methods in the principles of the various aspects may be used, and the descriptions are intended to include all such aspects and their equivalents. Specifically, terms such as “exemplary,” “example,” “aspect,” and “example” as used herein may not be interpreted as implying that any described aspect or design is superior or advantageous to other aspects or designs.

[0020] Hereinafter, identical or similar components are assigned the same reference numeral regardless of drawing symbols, and redundant descriptions thereof are omitted. Furthermore, in describing the embodiments disclosed in this specification, detailed descriptions of related prior art are omitted if it is determined that such detailed descriptions may obscure the essence of the embodiments disclosed in this specification. Additionally, the attached drawings are intended only to facilitate understanding of the embodiments disclosed in this specification, and the technical concept disclosed in this specification is not limited by the attached drawings.

[0021] Although terms such as first, second, etc. are used to describe various elements or components, it goes without saying that these elements or components are not limited by these terms. These terms are used merely to distinguish one element or component from another. Therefore, it goes without saying that the first element or component mentioned below may be the second element or component within the technical scope of the present invention.

[0022] Unless otherwise defined, all terms used in this specification (including technical and scientific terms) may be used in a meaning that is commonly understood by those skilled in the art to which the present invention pertains. Additionally, terms defined in commonly used dictionaries are not to be interpreted ideally or excessively unless explicitly and specifically defined otherwise.

[0023] Furthermore, the term "or" is intended to mean an implicit "or" rather than an exclusive "or." That is, unless otherwise specified or evident from the context, "X uses A or B" is intended to mean one of the natural implicit substitutions. In other words, if X uses A; if X uses B; or if X uses both A and B, "X uses A or B" may apply to any of these cases. Additionally, the term "and / or" as used herein should be understood to refer to and include all possible combinations of one or more of the enumerated related items.

[0024] Additionally, the terms “comprising” and / or “comprising” should be understood to mean that such features and / or components are present, but not to exclude the presence or addition of one or more other features, components, and / or groups thereof. Furthermore, unless otherwise specified or clearly evident from the context to indicate a singular form, the singular in this specification and claims should generally be interpreted to mean “one or more.”

[0025] When it is stated that one component is “connected” or “connected” to another component, it should be understood that it may be directly connected or connected to that other component, or that there may be other components in between. On the other hand, when it is stated that one component is “directly connected” or “directly connected” to another component, it should be understood that there are no other components in between.

[0026] When elements or layers are referred to as being "on" or "on" another element or layer, it includes not only being directly on top of the other element or layer but also cases where another layer or element is interposed in between. On the other hand, when a component is referred to as being "directly on" or "immediately on," it indicates that no other element or layer is interposed in between.

[0027] Spatially relative terms such as "below," "beneath," "lower," "above," and "upper" may be used to easily describe the relationship between one component or other components as illustrated in the drawings. Spatially relative terms should be understood as encompassing different orientations of the element during use or operation, in addition to the directions illustrated in the drawings.

[0028] The objectives and effects of the present invention, and the technical configurations for achieving them, will become clear by referring to the embodiments described in detail below in conjunction with the accompanying drawings. In describing the present invention, if it is determined that a detailed description of known functions or configurations may unnecessarily obscure the essence of the invention, such detailed description will be omitted. Furthermore, the terms described below are defined considering their functions in the present invention, and these may vary depending on the intentions or conventions of the user or operator.

[0029] However, the present invention is not limited to the embodiments disclosed below but may be implemented in various different forms. These embodiments are provided merely to make the present invention complete and to fully inform those skilled in the art of the scope of the disclosure, and the present invention is defined only by the scope of the claims. Therefore, such definition should be based on the content throughout this specification.

[0030] FIG. 1 may be a configuration diagram for explaining an advertising marketing system according to the present invention.

[0031] Referring to FIG. 1, an advertising marketing system according to the present invention may include an advertising server (500) that generates product-specific target advertising information by analyzing structured and unstructured data of users collected from each online platform and transmits the target advertising information to each online platform, and a management server (600) of an online platform affiliated with the advertising server (500) to provide various information to the advertising server (500) and receive advertising marketing services from the advertising server (500). At this time, each management server (600) may be connected to the advertising server (500) through a wired / wireless communication network (hereinafter abbreviated as 'network').

[0032] If necessary, the advertising marketing system of the present invention may further include a user device (700) that provides browser data to the advertising server (500) when accessing an online platform that is businessly affiliated with the advertising server (500).

[0033] Below, each component can be explained in more detail.

[0034] FIG. 2 may be a block diagram for explaining an advertising server (500) according to one embodiment of the present invention.

[0035] Referring to FIGS. 1 and 2, the advertising server (500) connects to a management server (600) of an online platform affiliated with the business to collect various data and build big data, and analyzes this big data to provide customized advertising services to each online platform, and may be configured to include a data collection unit (510), a data storage unit (520), and a target analysis unit (530).

[0036] The above data collection unit (510) may be configured to access the management server (600) of an online platform affiliated with the business and collect structured data, unstructured data, and product data stored on the online platform.

[0037] In one embodiment, the data collection unit (510) collects structured and unstructured data of users who have joined an online platform affiliated with the business, and can collect product data of products being sold on the online platform from the management server (600).

[0038] In another embodiment, the data collection unit (510) can collect product category data sold on the online platform through the management server (600) of the online platform that is businessly affiliated.

[0039] Here, structured data may include profile data such as the user's age, gender, and place of residence entered during membership registration. Unstructured data is data without a fixed format and may include one or more of product data stored in the user's wishlist, product page visit data on the online platform, or search query data entered on the online platform.

[0040] In one embodiment of the present invention, it may be preferable to use only product page visit data having a page dwell time of 3 to 5 seconds or more so that the product page visit data can select only the products that the user is actually interested in.

[0041] In a specific embodiment, the data collection unit (510) according to the present invention may include a collection control module that collects data according to collection criteria (profile data, product data, etc.) set in metadata, a data collection module that accesses an online platform set according to a request of the collection control module and collects data, a data processing module that parses the data collected by the data collection module considering the characteristics of the online platform and converts the format based on items with defined relationships, and a data provision module that provides the data processed by the data processing module to a data storage unit (520).

[0042] The above data processing module can parse the collected data and convert it into a standardized format, while adding the category to which the data belongs as a hierarchical classification code. For example, if the data contains information regarding women's skincare products, the classification code may correspond to Women's Products-Cosmetics-Skincare.

[0043] In one embodiment of the present invention, the data processing module may perform security processing to anonymize collected personal information and encrypt or delete identification information. Additionally, since profile data among the collected data is unique information obtained from each online platform, profile data collected from a specific online platform may not be provided to other online platforms.

[0044] The data storage unit (520) of the present invention stores various data collected through the data collection unit (510) to build big data, and includes a product database (DB) and a platform database (DB), and may optionally be configured to include a visit history database (DB).

[0045] The above product DB may be a DB that stores structured data and unstructured data collected through the above data collection unit (510) by classifying them according to related products.

[0046] The above platform DB may be a DB that stores product data collected for each online platform by adding a classification identifier and classifying it by online platform.

[0047] The above visit history DB may be a DB that stores a list of web pages visited before visiting the online platform from additional unstructured data collected from each user device (700) that accessed the online platform affiliated for business purposes.

[0048] In one embodiment, the data storage unit (520) may use a distributed storage method that stores various data not stored in the product DB, platform DB, and visit history DB in multiple storage locations, classified by size, and preferably may use the Hadoop Distributed File System (HDFS).

[0049] In one embodiment of the present invention, the data storage unit (520) can standardize based on items and classify collected content by type using a hierarchical integrated code so that various result provision formats or provided results (web pages, documents, posts, comments, etc.) other than structured internal data can be analyzed integrally.

[0050] In one embodiment, the data collection unit (510) can collect collected data in a format provided according to its own conversion rules, check the integrated code therein in the code database to add a classification identifier, distinguish the size, and distribute and store it in the data storage unit (520).

[0051] To this end, the data storage unit (520) may further include a metadata database that stores information about the location, file name, group code, input date, etc., of the distributed storage while distributing and storing the collected data in various DBs, a collection monitoring module that provides information to the metadata database, and a data flow control module that divides and stores the collected data according to its size.

[0052] The target analysis unit (530) of the present invention may analyze big data built in the data storage unit (520) to extract customized products by age group and gender, and provide customized advertising services to an online platform selling the customized products.

[0053] The target analysis unit (530) analyzes the structured data of the user who generated the unstructured data to extract the age group and gender with high interest for each product from the product DB, generates target advertising information in which the target audience for each product advertisement is specified based on the age group and gender, and extracts the first online platform that has the product for which the target advertising information was generated as a product for sale from the platform database and transmits the target advertising information to the management server (600) of the first online platform.

[0054] Additionally, the target analysis unit (530) may be configured to analyze the list of web pages stored in the visit history DB to select a product category of high interest to consumers, generate target advertising information that designates a product corresponding to the product category among the products being sold on the online platform as the target of an advertisement, and transmit the target advertising information to the online platform.

[0055] In a specific embodiment, the target analysis unit (530) according to the present invention may include an analysis process module that manages various analysis processes (analysis scripts, algorithms, settings, etc.) including item-based value analysis; a data analysis module that automatically performs analysis according to each analysis process of the analysis process module to calculate age groups and genders with high interest for each product and generates target advertising information in which target subjects for product-specific advertisements are designated; and an analysis control module that registers, updates, and removes individual analysis processes of the data analysis module, checks integrated code information from a code database if necessary and provides it to the data analysis module, and collects the results (target advertising information) analyzed by the data analysis module and records them in the data storage unit (520).

[0056] The above analysis control module analyzes collected data using analysis processes (inquiry, structured and unstructured linkage analysis, statistical analysis, text analysis, machine learning, batch analysis, identification of data relationships, pattern extraction, ranking, issue analysis, timing analysis, related word analysis, correlation analysis, regression analysis, etc.) including value analysis based on item-based association analysis for effective advertising analysis, and stores the results in a data storage unit (520), and can re-analyze the previously stored value analysis results and newly analyzed value analysis results based on items and store the results in the data storage unit (520) again.

[0057] If necessary, the above advertising server (500) may be configured to further include one or more of a core product selection unit (540), a recommended product analysis unit (550), a group purchase management unit (560), and a device information collection unit (570).

[0058] The core product selection unit (540) constituting the advertising server (500) of the present invention can identify products that are price-competitive compared to other online platforms among the products being sold on any first online platform.

[0059] Specifically, the core product selection unit (540) can select a product with price competitiveness as a main product by comparing a product currently being sold on the first online platform with a product currently being sold on another online platform, and can perform the role of transmitting information about the main product to the management server (600) of the first online platform.

[0060] The recommended product analysis unit (550) constituting the advertising server (500) of the present invention analyzes big data to select recommended products of high consumer interest and can provide information on the recommended products to online platforms that do not sell the recommended products.

[0061] Specifically, the recommended product analysis unit (550) can analyze structured data and unstructured data collected through the data collection unit (510) to extract products with an interest level greater than a preset standard as recommended products, analyze the platform DB to extract a second online platform where product data of the recommended products is not stored, and perform the role of providing product data of the recommended products to the management server (600) of a third online platform among the second online platforms where product category data matched with the recommended products is collected.

[0062] The group purchase management unit (560) constituting the advertising server (500) of the present invention can analyze big data to select recommended products with high consumer interest and provide a group purchase opportunity for the recommended products to online platforms selling the recommended products. This group purchase management unit (560) can provide a function to lower the purchase price of the recommended products by increasing the purchase quantity of the recommended products through linking multiple small and medium-sized platforms with low purchasing power.

[0063] Specifically, the group purchase management unit (560) analyzes structured data and unstructured data collected through the data collection unit (510) to extract products with an interest level greater than a preset standard as recommended products, analyzes the platform database to extract online platforms where product data of the recommended products is stored, and can inquire about participation in the group purchase of the recommended products from the online platforms.

[0064] In one embodiment of the present invention, the group purchase management unit (560) generates and stores a list of online platforms that have requested participation in the group purchase of recommended products, and can calculate the purchase request quantity of each online platform and store the total purchase quantity.

[0065] The device information collection unit (570) constituting the advertising server (500) of the present invention collects browser data from a user device (700) connected to an online platform affiliated with the business, and can collect the browser data through a network when the browser data is extracted through an application installed on the user device (700) or a program installed on the management server (600).

[0066] Specifically, the device information collection unit (570) can collect browser data generated within a preset time from browser data of a user device (700) connected to an online platform business-affiliated with an advertising server (500) as additional unstructured data, and transmit the additional unstructured data to the data storage unit.

[0067] To this end, an online platform receiving advertising marketing services may obtain prior consent for the collection of browser data generated through a user device (700) at the time of membership registration, specifically browser data generated within a predetermined time from the time of accessing the online platform. Additionally, the online platform may collect only the browser data of user devices (700) that have consented to the collection of browser data among the accessed user devices (700).

[0068] Referring to FIG. 1, the advertising marketing system according to the present invention may include a management server (600).

[0069] The above management server (600) stores the website of the online platform and can be connected to an advertising server (500) that is businessly affiliated through a network.

[0070] This management server (600) stores structured and unstructured data of subscribed users and product data for products on sale, and can provide structured data, unstructured data, and product data to the advertising server (500) upon request from the advertising server (500).

[0071] In addition, the management server (600) can receive target advertising information, main product information, recommended product information, etc. provided by the advertising server (500).

[0072] Referring to FIG. 1, the advertising marketing system according to the present invention may include a user device (700).

[0073] The above user device (700) can access the management server (600) of the online platform through a network to purchase or search for products being sold on the online platform.

[0074] In one embodiment, when a user device (700) according to the present invention connects to a management server (600) for the use of an online platform, it may provide browser data stored within itself to the program in response to a request from a program installed on the management server (600).

[0075] In another embodiment, when a user device (700) according to the present invention connects to a management server (600) of an online platform through an application provided by the online platform, it can transmit browser data stored within itself to a management server (600) or an advertising server (500) through the application in response to a request from the application.

[0076] This user device (700) receives individual identification (ID) information from the user for membership registration on an online platform, and the said ID information can be transmitted to the management server (600) of the online platform via a network. For example, the ID information may include one or more of the user's date of birth, gender, address, phone number, ID and password for login, etc.

[0077] These user devices (700) may be means of accessing an online platform through a wireless communication network including a plurality of base stations, base station controllers, mobile communication switches, and WAP gateways, and a wired communication network such as the Internet.

[0078] In one embodiment, a wireless terminal such as a smartphone, tablet PC, or laptop computer may be used, and a wired terminal such as a desktop computer with internet access means, a communication terminal, a smart TV, or a wired telephone may be used.

[0079] FIG. 3 may be a flowchart for explaining an advertising marketing method according to the present invention.

[0080] Referring to FIG. 3, the advertising marketing method according to the present invention may include a data collection step (S500) for collecting various data from an online platform that is businessly affiliated through a network, a data storage step (S600) for building big data with the data collected through the data collection step, a data analysis step (S700) for generating target advertising information by analyzing the big data, and a data transmission step (S800) for transmitting the target advertising information to a matched online platform.

[0081] In the above data collection step (S500), the data collection unit (510) of the advertising server (500) can connect to the management server (600) of an online platform that is businessly affiliated online to collect structured data and unstructured data of users who have joined the online platform, and collect product data of products being sold on the online platform.

[0082] In the above data storage step (S600), the data storage unit (520) of the advertising server (500) classifies the structured data and unstructured data collected through the data collection unit (510) by related products and stores them in the product DB, and classifies the product data by online platform and stores them in the platform DB.

[0083] In the above data analysis step (S700), the target analysis unit (530) of the advertising server (500) analyzes the structured data of the user who generated the above unstructured data through the data storage unit (520) to extract the age group and gender with high interest for each product, designates the target for the advertisement for each product based on the age group and gender, and can generate target advertising information in which the target for the advertisement for each product is designated.

[0084] In the above data transmission step (S800), the target analysis unit (530) of the advertising server (500) can collect target advertising information for each product matched to each online platform and transmit it to the management server (600) of the online platform.

[0085] Although the present invention has been described above with reference to preferred embodiments, those skilled in the art may make various modifications and changes to the invention without departing from the spirit and scope of the invention as set forth in the following claims.

[0086] Methods according to the claims or embodiments described in the specification of the present disclosure may be implemented in the form of hardware, software, or a combination of hardware and software.

[0087] When implemented in software, a computer-readable storage medium may be provided for storing one or more programs (software modules). One or more programs stored in the computer-readable storage medium are configured for execution by one or more processors within an electronic device. One or more programs include instructions that cause the electronic device to execute methods according to the claims or embodiments described in the specification of this disclosure.

[0088] One or more of these programs (software modules, software) may be stored in random access memory, non-volatile memory including flash memory, ROM (Read Only Memory), EEPROM (Electrically Erasable Programmable Read Only Memory), magnetic disc storage device, optical storage device (e.g., Compact Disc-ROM (CD-ROM), Digital Versatile Discs (DVDs)), magnetic cassette, or a combination thereof. Or, they may be stored in memory composed of some or all of these. Additionally, the above program may be stored on an attachable storage device accessible via a communication network such as the Internet, Intranet, Local Area Network (LAN), Wide LAN (WLAN), or Storage Area Network (SAN), or a combination thereof. Such a storage device may be connected to a device performing an embodiment of the present disclosure through an external port. Additionally, a separate storage device on a communication network may be connected to a device performing an embodiment of the present disclosure.

[0089] In the specific embodiments of the present disclosure described above, the components of the electronic device included in the present disclosure are expressed in a singular or plural form according to the specific embodiments presented. However, the singular or plural expression of said components is selected to suit the circumstances presented for convenience of explanation, and the present disclosure is not limited to singular or plural components; even if a component is expressed in the plural, it may be composed of a singular form, and even if a component is expressed in the singular form, it may be composed of a plural form.

[0090] Meanwhile, although specific embodiments have been described in the detailed description of the present disclosure, it is understood that various modifications are possible within the scope of the present disclosure. Therefore, the scope of the present disclosure should not be limited to the described embodiments, but should be defined by the claims set forth below as well as equivalents thereof.

[0091] The description of the presented embodiments is provided so that any person skilled in the art may use or practice the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be applied to other embodiments without departing from the scope of the present invention. Thus, the present invention is not limited to the embodiments presented herein, but should be interpreted in the broadest possible scope consistent with the principles and novel features presented herein.

Claims

Claim 1 An advertising marketing system characterized by comprising: a data collection unit connected to a management server of an online platform with which business is affiliated, for collecting structured and unstructured data; a data storage unit for storing collected data and defining classifications and relationships to build big data; a target analysis unit for analyzing stored data to generate customized advertising information based on consumer interest; and an advertising server for transmitting the generated target advertising information to a management server of a matched online platform.

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