2018
DOI: 10.1089/cyber.2018.0197
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Multivariate Testing Confirms the Effect of Age–Gender Congruence on Click-Through Rates from Online Social Network Digital Advertisements

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Cited by 11 publications
(4 citation statements)
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“…Using gender and gender stereotypes creates relatability, which helps establish a sense of connection to the product, translating into increased awareness and sales 34 . A study conducted by Higgins et al, (2018) concluded that advertising campaigns that used age and gender data were able to achieve statistically significant boosts in engagement by using gender-specific marketing strategies 35 . This suggests the use of gender in marketing is deliberate and can be used to entice a viewer based on their gender and is evidence of individualized, gender-specific, curated marketing.…”
Section: Gender Differences In Exposure To Various Marketing Techniquesmentioning
confidence: 99%
“…Using gender and gender stereotypes creates relatability, which helps establish a sense of connection to the product, translating into increased awareness and sales 34 . A study conducted by Higgins et al, (2018) concluded that advertising campaigns that used age and gender data were able to achieve statistically significant boosts in engagement by using gender-specific marketing strategies 35 . This suggests the use of gender in marketing is deliberate and can be used to entice a viewer based on their gender and is evidence of individualized, gender-specific, curated marketing.…”
Section: Gender Differences In Exposure To Various Marketing Techniquesmentioning
confidence: 99%
“…It is unclear, however, whether gender in itself adds to this result. Other studies have also used gender as a personalization element combined with other personalization elements (Brinson and Eastin, 2016;Higgins et al, 2018;Kaspar et al, 2019;Walrave et al, 2016), but do not report whether their manipulation results in differences in perceived personalization perception. Higgins et al (2018) use age as a separate personalization element, as well as combined with gender.…”
Section: Demographicsmentioning
confidence: 99%
“…The outcomes showed that the improved model had better prediction quality compared to other models [1]. To test the effect of age and gender on the click-through rate of online advertisements, Higgins et al used multivariate tests and web-based techniques and found that personalized ads affect user engagement and increase CTR [2]. Keyword-based advertisements are becoming the dominant form of online advertising as they can be tailored and customized to the relevant information of the potential consumer.…”
Section: Related Researchmentioning
confidence: 99%