MARKETING AND CAMPAIGN PLATFORM MODEL BY ANALYZING BIG DATA BASED UNSTRUCTURED INFORMATION AND CONSUMPTION BEHAVIORS (PURCHASE CORRELATION) OF CONSUMER

摘要

In the process of purchasing goods, consumers leave records which express or allow inference about various behaviors, desires, and needs online and offline. For example, consumers may record preference on a specific brand, their experience on the store, etc. via writing online or frown or laugh at goods or a specific advertisement offline. In addition, consumers may stare at a specific product with interest or show biological changes by seeing a specific corner. The present invention aims to provide sellers with useful marketing information by collecting a large amount of unstructured consumer data and conducting convergence analysis between the unstructured data and structured data such as performance information of stores. Therefore, the present invention relates to a process of providing offline store businesses with useful information by analyzing consumer activity information (texts, etc.) online, and a process of providing sellers with marketing information through convergence analysis between the consumer activity information and store performance (quantitative data). Moreover, the present invention relates to a process or results of providing store sellers with analysis marketing information services through collection of unstructured consumer data, which includes a technology of analyzing emotion, age, and sex of a consumer through face recognition of the visiting consumer by installing an image device in an offline store, and through convergence analysis between the unstructured data and structured data such as store performance, and also relates to the entire marketing platform service.;COPYRIGHT KIPO 2018