新能源汽车用户地域偏好画像数据集

该"新能源汽车用户地域偏好画像数据集"可广泛应用于新能源汽车行业的市场策略优化与精准营销场景。通过分析用户常住地的城市等级特征（如一线/新一线城市分布）与地理大区维度（如华东、华南区域），结合用户车系消费行为建模生成的能源偏好画像（纯电/插混偏好度）及车系热度排序，可辅助车企制定区域化产品推广策略。例如：针对长三角区域用户对中高端新能源轿车的集中偏好，可定向投放相应车系的试驾活动；基于华北地区用户午间时段的高活跃特征，可在11:00-13:00推送限时购车权益。同时，数据集通过动态更新车系偏好排序与加密处理敏感信息，既保证了画像的实时性，又符合个人信息保护法规要求，为新能源汽车产业链企业提供合规、精准的市场洞察决策支持。

This "New Energy Vehicle User Regional Preference Portrait Dataset" is widely applicable to market strategy optimization and precision marketing scenarios in the new energy vehicle industry. By analyzing the urban hierarchy characteristics of users' permanent residence (such as the distribution of first-tier and new first-tier cities) and geographic regional dimensions (such as East China and South China), combined with the energy preference portraits (pure electric/plug-in hybrid preference degree) and vehicle model popularity rankings generated via user vehicle consumption behavior modeling, it can help automakers formulate regional product promotion strategies. For example: in response to the concentrated preference of users in the Yangtze River Delta region for mid-to-high-end new energy sedans, targeted test drive activities for corresponding vehicle models can be launched; based on the high activity pattern of users in North China during midday hours, limited-time purchase benefits can be pushed between 11:00 and 13:00. Meanwhile, the dataset dynamically updates vehicle model preference rankings and encrypts sensitive information, which not only ensures the timeliness of the portraits but also complies with personal information protection regulations, providing compliant and accurate market insight decision support for enterprises across the new energy vehicle industry chain.