Patents Assigned to Meshplus Co., Ltd.
  • Publication number: 20230385860
    Abstract: The invention discloses a computing system for analyzing consumer intentions comprising a user data processing module, an offline-point-and-website-visiting computing module and a cross-websites-visiting computing module. The user data processing module sorts a website visiting data cluster and an offline point visiting data cluster from raw data. The offline-point-and-website-visiting computing module is connected to the user data processing module, obtains an offline-point-and-website-dual-visiting data cluster, and derives offline-point-and-website-visiting overlapping proportion information of a business store. The cross-websites-visiting computing module is connected to the user data processing module to sort single-website-visiting data clusters relating to their respective target websites designated and obtains cross-websites-visiting overlapping proportion information.
    Type: Application
    Filed: December 22, 2022
    Publication date: November 30, 2023
    Applicant: Meshplus Co., Ltd.
    Inventors: Kuang-Jui Hu, Ying-Hsueh Tseng, Po-Hsun Wang
  • Publication number: 20230385855
    Abstract: The invention discloses an industrial trend analysis system comprising: a user data processing module and a group behavior analysis computing module. The user data processing module sorts website visiting cluster data and geographic location points visiting cluster data from a to-be-analyzed user cluster data. The group behavior analysis computing module is connected to the user data processing module to perform a market size analysis, a potential consumer group profile analysis, a consumer geographic location analysis, a flow trend analysis, a brand ranking analysis and a brand visitor overlapping analysis.
    Type: Application
    Filed: December 21, 2022
    Publication date: November 30, 2023
    Applicant: Meshplus Co., Ltd.
    Inventors: Kuang-Jui Hu, Ying-Hsueh Tseng, Po-Hsun Wang
  • Publication number: 20230385872
    Abstract: The present invention discloses an analysis system for advertising effectiveness comprising a user data receiving module, a merchant visiting data analysis module and an advertising effectiveness processing module. The user data receiving module derives a target advertising audience data cluster from first raw data which are advertisement data before the advertisement is advertised. The merchant visiting data analysis module sorts a merchant visitor data cluster from second raw data which are advertisement data after the advertisement is advertised. The advertising effectiveness processing module is connected to the user data receiving module and the merchant visiting data analysis module and derives an overlapping proportion of the visitor amount.
    Type: Application
    Filed: January 17, 2023
    Publication date: November 30, 2023
    Applicant: Meshplus Co., Ltd.
    Inventors: Kuang-Jui Hu, Ying-Hsueh Tseng, Po-Hsun Wang
  • Publication number: 20230385876
    Abstract: The present invention discloses a computing system for targeting advertising audiences, comprising a user data processing module, a user behavior characteristic processing module and a data packaging module. The user data processing module receives a plurality of user data to obtain to-be-analyzed overall data. The user behavior characteristic processing module is connected to the user data processing module, and the user behavior characteristic processing module derives a store active visitor set from to-be-analyzed overall data and a target user group set from a store active visitor set. The data packaging module is connected to the user behavior characteristic processing module, and the data packaging module performs a packaging process on the target user group set to obtain an advertising audience packet and transmits the advertising audience packet to an advertising platform.
    Type: Application
    Filed: December 29, 2022
    Publication date: November 30, 2023
    Applicant: Meshplus Co., Ltd.
    Inventors: Kuang-Jui Hu, Ying-Hsueh Tseng, Po-Hsun Wang