A company may have a large number of LINE users, but it is not clear which age group and gender group the list mainly consists of. In the absence of audience structure information, marketing content can only be produced in the same way, making it difficult to adapt to the focus of different customers.
No way to understand the gender and age structure of your customer list
There may be deviations between product positioning and actual audience
People of different ages receive the same content, which affects the relevance of the information
Localized operations lack crowd basis that can be used to formulate strategies
Manual observation of user data is difficult to form unified and analyzable data labels
