电商直播间收藏率数据评价检测数据
收藏资源简介:
通过在不同直播间采集主播编号、直播时长、人均观看时长、直播间观看人数、单小时观看人数、访客数、收藏人数、关注数的数据情况,计算出收藏率,从而获得主播在不同直播间的直播情况,以此对主播能力进行考核。另外也有助于商家的商品选品、库存管理和市场预测具有重要的帮助,收藏率的增加更有助于提高商家的销售额和用户满意度,从而有助于商家长期的发展。1.数据采集:通过在不同直播间采集主播编号、直播时长、人均观看时长、直播间观看人数、单小时观看人数、访客数、收藏人数、关注数的数据情况。 2.数据处理:通过公式:收藏率=(收藏数+关注数)/访客数*100%计算出不同直播间的收藏率,根据直播平台的总体数值参考,直播间收藏率在200%以上则说明收藏率较高;根据直播平台的总体数值参考,人均观看时长>60秒则说明主播具有一定的吸引力(公式:人均观看时长=观看总人数/直播时长),以此可以作为对主播能力的考核重点关注指标之一。 3.数据应用:获得主播在不同直播间的直播情况,以此对主播能力进行考核。对于商家的商品选品、库存管理和市场预测具有重要的帮助,收藏率的增加更有助于提高商家的销售额和用户满意度,从而有助于商家长期的发展。
This dataset is developed by collecting multi-dimensional data across various live streaming rooms, including anchor ID, live stream duration, per-capita watch duration, total viewers in the live room, hourly viewer count, visitor count, number of collectors, and number of followers. The collection rate is calculated to derive the live streaming performance of each anchor in different rooms, which serves as the basis for evaluating the anchor's capabilities. Furthermore, this dataset offers critical support for merchants' product selection, inventory management and market forecasting: an increase in collection rate helps elevate merchants' sales revenue and user satisfaction, thereby promoting their long-term development. 1. Data Collection: Collect data including anchor ID, live stream duration, per-capita watch duration, total viewers in the live room, hourly viewer count, visitor count, number of collectors, and number of followers across various live streaming rooms. 2. Data Processing: Calculate the collection rate with the formula: Collection Rate = (Number of Collectors + Number of Followers) / Visitor Count × 100%. According to the overall performance metrics of the live streaming platform, a collection rate exceeding 200% is classified as high. Additionally, an anchor is considered to have certain appeal if their per-capita watch duration exceeds 60 seconds. The formula for per-capita watch duration is: Per-capita Watch Duration = Total Number of Viewers / Live Stream Duration. These metrics can be utilized as key indicators for assessing the anchor's capabilities. 3. Data Application: Derive the live streaming performance of each anchor across different live rooms to evaluate their capabilities. This dataset provides vital support for merchants' product selection, inventory management and market forecasting. An increase in collection rate helps improve merchants' sales revenue and user satisfaction, thereby facilitating their long-term development.




