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We use machine learning to analyze customer behavior and identify the gender of subscribers for telecom operators. By assessing phone usage, mobility patterns, and social network indicators, we can predict with over 85% accuracy the gender of a mobile phone user. Having accurate gender labels provides telecom operators with the information they need to address bottlenecks in mobile phone penetration among women and design products targeted at women’s specific use patterns and needs.