JOURNAL OF TRAVEL & TOURISM MARKETING

What destination videos can better engage viewers? Video analytics of destination marketing organizations’ social media posts

Yang, Yang; Ma, Shihan; Kirilenko, Andrei

Abstract

Destination marketing organizations heavily invest in producing original online video content for place promotion to engage viewers. We introduce a conceptual aesthetic-structural-content (ASC) framework in this study to determine which aspects of video content influence viewer engagement in the social media setting. We then develop a high-dimensional fixed-effects Poisson regression model based on this framework and apply the model to 2,538 videos published by U.S. state-level destination marketing organizations on Facebook. Results validate the proposed framework and offer insights into how video features affect viewers’ engagement. Practical recommendations are also provided.

Keywords

Video analytics; video AI; social media; viewer engagement; elaboration likelihood model of persuasion

Research topic

AI and Big Data, Digital Platform and Pricing

Research method

Econometrics, Big Data

Geographic area

US

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Additional links for this paper

ResearchGate

Publisher Website

Web of Science

HOW TO CITE

Yang, Y., Ma, S., & Kirilenko, A. (2025). What destination videos can better engage viewers? Video analytics of destination marketing organizations’ social media posts. Journal of Travel & Tourism Marketing, 42(9), 1204-1219.

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