Unveiling the power of video sentiment analysis for predicting advertising effectiveness: exploratory research on femvertising

This research challenges the conventional method of textual sentiment analysis in evaluating advertising effectiveness. We examined two distinct video ads for a cosmetics brand, employing video sentiment analysis to gauge their emotional impact on 35 female participants. This assessment was conducte...

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Bibliographic Details
Published in:	Journal of marketing analytics Vol. 12; no. 4; pp. 1052 - 1065
Main Authors:	Hamelin, Nicolas, Rahimi, Ramy A., Balaji, Sivapriya, Pismennaya, Irina, Bui, Nhat Quang, Ta, Hong Anh
Format:	Journal Article
Language:	English
Published:	London Palgrave Macmillan UK 01-12-2024 Palgrave Macmillan
Subjects:	Advertising Business and Management Cosmetics Effectiveness Emotional factors Empowerment Galvanic skin response Impact analysis Purchase intention Sentiment analysis Software Review Text analysis Emotional impact Galvanic Skin Response Femvertising Advertising effectiveness Video sentiment analysis Neuromarketing Facial expressions analysis Textual sentiment analysis Autonomic response
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Summary:	This research challenges the conventional method of textual sentiment analysis in evaluating advertising effectiveness. We examined two distinct video ads for a cosmetics brand, employing video sentiment analysis to gauge their emotional impact on 35 female participants. This assessment was conducted using a self-reported questionnaire and a biometric platform integrating facial detection analysis (using Affdex software by Affectiva) and Galvanic Skin Response (GSR). Both video and text sentiment analyses were performed on two 30-s television ads—one promoting women’s empowerment and the other emphasizing anti-aging properties. While the textual analysis suggested a generally positive tone for both ads, video sentiment analysis, incorporating facial expressions via the Face API, revealed a significant contrast. The ad highlighting youthful appearance displayed higher positive emotional content, particularly “surprise,” compared to the “femvertising” ad promoting women’s empowerment. This heightened emotional response, as identified by video sentiment analysis, had a notable impact on participants’ emotional reactions to the ad, correlating with increased purchase intention and ad enjoyment. Conversely, no significant correlations were observed between emotions, purchase intent, and ad enjoyment for the femvertising ad. This outcome underscores the superiority of video sentiment analysis over traditional textual analysis, which fails to capture the emotional nuances conveyed through facial expressions. In summary, this study demonstrates the potential of video sentiment analysis in predicting purchase intent and assessing advertising appeal.
ISSN:	2050-3318 2050-3326
DOI:	10.1057/s41270-024-00334-x