Short video marketing: what, when and how short-branded videos facilitate consumer engagement

Abstract

PurposeThis study explores whether and how four main factors of short-branded video content (content matching, information relevance, storytelling and emotionality) facilitate consumer engagement (likes, comments and shares), as well as the moderating effect of the release time (morning, afternoon and evening) in such relationships.Design/methodology/approachThis study uses Python to write programs to crawl relevant data information, such as consumer engagement and short video release time. It combines coding methods to empirically analyze the impact of short-branded video content characteristics on consumer engagement. A total of 10,240 Weibo short videos (total duration: 238.645 h) from 122 well-known brands are utilized as research objects.FindingsEmpirical results show that the content characteristics of short videos significantly affected consumer engagement. Furthermore, the release time of videos significantly moderated the relationship between the emotionality of short videos and consumer engagement. Content released in the morning enhanced the positive impact of warmth, excitement and joy on consumer engagement, compared to that released in the afternoon.Practical implicationsThe findings provide new insights for the dissemination of products and brand culture through short videos. The authors suggest that enterprises that use brand videos consider content matching, information relevance, storytelling and emotionality in their design.Originality/valueFrom a broader perspective, this study constructs a new method for comprehensively evaluating short-branded video content, based on four dimensions (content matching, information relevance, storytelling and emotionality) and explores the value of these dimensions for creating social media marketing success, such as via consumer engagement.

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“…The existing literature on we-media videos mainly focused on the phenomenon and impacts of the growing and marketing strategies of short videos (Chen, 2019; Qin, 2019; Lin et al. , 2022a, b; Dong et al. , 2023) and data mining on video platforms like YouTube (Möller and Kühne, 2019; Tafesse, 2020).…”