摘要
移动互联网的快速发展和大数据算法技术的不断迭代,为视频广告程序化创意自动生成提供了更精准的场景匹配营销策略。通过对《IAI中国广告作品与数字营销年鉴》电子书和YouTube网站为期4年的视频广告进行内容分析,本文试图考察视频广告中运动场景与商品类型的适配度。结果发现,运动场景与商品类型具有显著关系,例如,反映生存需求的运动场景视频广告,适用食品饮料、医药保健、交通运输、日用品和其他类商品;反映生活需求的运动场景视频广告,适用食品饮料、医药保健、交通运输、日用品和其他类商品;反映传承需求的运动场景视频广告,适用数码产品、电子游戏、服务产品和家具电器类商品;等等。数字时代,程序化创意以消费者为核心,通过数据算法实现了场景与商品的深度匹配,并在新媒体环境下提升了营销效果。
The rapid development of the mobile Internet and the continuous iteration of big data algorithm technology have provided a more accurate situation matching marketing strategy for the automatic generation of programmatic creative ideas for video advertisements.Through the content analysis of the"IAI Advertising Works and Digital Marketing Yearbook"e-book and four-year video advertisements on YouTube,this paper attempts to examine the suitability of sports scenes and product types in video advertisements.The results found that sports scenes have a significant relationship with product types.For example,sports scene video advertisements reflecting survival needs are suitable for food and drinks,medicine and health care,transportation,daily necessities and other commodities;sports scene video advertisements reflecting life needs are suitable for food and drinks,medicine and health care,transportation,daily necessities and other commodities;sports scene video advertisements reflecting heritage needs,suitable for digital products,video games,service products and furniture and electrical products;etc.In the digital age,programmatic creativity takes consumers as the core,realizes the deep matching of scenes and commodities through data algorithms,and improves the marketing effect in the new media environment.
作者
蒋梦辰
Jiang Mengchen(Advertising Institute,Communication University of China,Beijing,100024)
出处
《现代广告》
2022年第19期13-19,共7页
Modern Advertising
基金
广东省2020年度省级系列在线开放课程《计算广告学——智能营销与计算广告》的系列研究成果。
关键词
运动需求理论
视频广告
运动场景
商品类别
程序化创意
sports need theory
video advertising
sports scenes
product types
programmatic creativity