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Viber age filtering can help marketers organize different user groups based on existing age information. This article introduces age data classification, user tag management, Viber user portraits and practical application methods in overseas marketing.
This article provides an in-depth analysis of the differences between male and female Viber users in terms of active behavior, usage habits, and interaction methods. It also introduces how to understand the characteristics of different groups through user portrait analysis, providing reference for overseas social marketing and user operations.
In the overseas marketing process, user age and gender portraits directly affect the effectiveness of advertising. This article analyzes Viber user portrait analysis methods to help companies improve their precise reach capabilities.