艾媒咨询|2020第三季度中国在线直播行业专题研究报告

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本报告研究涉及企业/品牌/案例:快手直播、飞猪直播、kk直播。

随着中国在线直播用户规模趋于稳定,直播行业开始进入下半场,细分领域的精细化发展成为各大直播平台重点考虑的内容。直播活动的泛娱乐特征、内容的精细化品质化发展,加上电商直播技术发展的不断完善,将会为消费者带来更佳的购物体验。直播平台与OTA平台合作打造“旅游+直播”新业态,推动旅游业回暖,结合直播与私域流量推广,完善旅游行业产业链。iiMedia Research(艾媒咨询)数据显示,近七成用户观看过旅游直播,80、90后年轻男性是观看旅游直播的主力军,在直播间消费的用户中,有28.9%的消费金额为1501至2000元。目前,旅游类APP直播活动丰富,用户观看时最关注旅游产品内容质量,主播驱动旅游决策作用明显。因此,“旅游+直播”能够契合用户需求,实现精准营销,而“主播+内容+技术”是提升旅游直播带货能力的关键。

With the scale of China's online live broadcasting users tending to stabilize, the live broadcasting industry began to enter the second half, and the refined development of subdivision fields has become the focus of major live broadcast platforms. The pan entertainment features of live broadcast activities, the refinement and quality development of content, and the continuous improvement of e-commerce live broadcasting technology will bring consumers a better shopping experience. The live broadcast platform and OTA platform cooperate to create a new format of "tourism + live broadcast", promote the recovery of tourism industry, and improve the tourism industry chain by combining live broadcasting and private traffic promotion. As the data of iiMedia Research showed, nearly 70% of users have watched the live tourism. Young men born in the 1980s and 1990s are the main force to watch the live tourism broadcast. Among the users who spend money in the live broadcast room, 28.9% of them spend between 1501 and 2000 yuan. At present, there are rich live broadcast activities of tourism app, users pay most attention to the content quality of tourism products when watching, and the anchor plays an obvious role in driving tourism decision-making. Therefore, "tourism + Live Broadcasting" can meet the needs of users and realize precise marketing, and "anchor + content + technology" is the key to improve the carrying capacity of tourism live broadcast.

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本报告所涉之统计数据,主要由行业访谈、用户调研、市场调查、桌面研究等样本数据,结合专业人员分析及艾媒咨询大数据系统监测、艾媒相关数据分析模型科学计算获得。由于调研样本及计算模型的影响与限制,统计数据仅反映调研样本及模型计算的基本情况,未必能够完全反映市场客观情况。鉴于上述情形,本报告仅作为市场参考资料,艾媒咨询不因本报告(包括但不限于统计数据、模型计算、观点等)承担法律责任。

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