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Using web analytics data to identify platforms and content that best engage high-priority HIV populations in online and social media marketing advertisements

BACKGROUND: Online advertisements on social media platforms are an important tool for engaging relevant populations in public health research. However, little is known about what platforms and ad characteristics are most effective in engaging high-priority HIV populations, including racial/ethnic an...

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Autores principales: Wray, Tyler B, Chan, Philip A, Klausner, Jeffrey D, Ward, Lori M, Liu, Abraham Y, Carr, Daniel J, Ocean, Erik MS, Phelan, Chanda, Liu, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10668575/
https://www.ncbi.nlm.nih.gov/pubmed/38025100
http://dx.doi.org/10.1177/20552076231216547
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author Wray, Tyler B
Chan, Philip A
Klausner, Jeffrey D
Ward, Lori M
Liu, Abraham Y
Carr, Daniel J
Ocean, Erik MS
Phelan, Chanda
Liu, Tao
author_facet Wray, Tyler B
Chan, Philip A
Klausner, Jeffrey D
Ward, Lori M
Liu, Abraham Y
Carr, Daniel J
Ocean, Erik MS
Phelan, Chanda
Liu, Tao
author_sort Wray, Tyler B
collection PubMed
description BACKGROUND: Online advertisements on social media platforms are an important tool for engaging relevant populations in public health research. However, little is known about what platforms and ad characteristics are most effective in engaging high-priority HIV populations, including racial/ethnic and sexual minority individuals. METHODS: Data from this study were drawn from advertising campaigns conducted on popular websites and social media platforms that recruited for several nationwide randomized controlled trials of various HIV prevention and testing strategies among sexual minority men (SMM) from December 2019 until March 2022. Descriptive statistics and LASSO regression models were used to determine which platforms and ad characteristics were associated with significantly higher odds of engagement. RESULTS: Ads on Google search, Facebook, and Instagram yielded the most cost-effective engagement, while gay-oriented dating platforms and TrafficJunky yielded the highest percentage of users who appeared to meet basic eligibility criteria. The highest percentages of Black users were screened through ads on Jack’d, TrafficJunky, and Google search; for Hispanic/Latino users, Google search, Grindr, Facebook, and Instagram. Analyzing ad characteristics, we found ads that used suggestive content, animation, and included study or institution logos were associated with greater engagement. Ads that emphasized convenience of the research (e.g. mentioned participating “from home”) and that depicted people of similar races/ethnicities were also associated with greater engagement among Black and Hispanic/Latino sexual minority men. CONCLUSIONS: We found that advertisements on mainstream social media sites are most cost effective. Although gay-oriented dating platforms were much more effective at reaching the target population, they were considerably more expensive. We also identified ad characteristics that were particularly effective in engaging users. These results could inform the design of online public health outreach campaigns for similar populations to improve their engagement and reach. Findings also demonstrated the value of conducting focused research on the effectiveness of various online marketing strategies.
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spelling pubmed-106685752023-11-23 Using web analytics data to identify platforms and content that best engage high-priority HIV populations in online and social media marketing advertisements Wray, Tyler B Chan, Philip A Klausner, Jeffrey D Ward, Lori M Liu, Abraham Y Carr, Daniel J Ocean, Erik MS Phelan, Chanda Liu, Tao Digit Health Original Research BACKGROUND: Online advertisements on social media platforms are an important tool for engaging relevant populations in public health research. However, little is known about what platforms and ad characteristics are most effective in engaging high-priority HIV populations, including racial/ethnic and sexual minority individuals. METHODS: Data from this study were drawn from advertising campaigns conducted on popular websites and social media platforms that recruited for several nationwide randomized controlled trials of various HIV prevention and testing strategies among sexual minority men (SMM) from December 2019 until March 2022. Descriptive statistics and LASSO regression models were used to determine which platforms and ad characteristics were associated with significantly higher odds of engagement. RESULTS: Ads on Google search, Facebook, and Instagram yielded the most cost-effective engagement, while gay-oriented dating platforms and TrafficJunky yielded the highest percentage of users who appeared to meet basic eligibility criteria. The highest percentages of Black users were screened through ads on Jack’d, TrafficJunky, and Google search; for Hispanic/Latino users, Google search, Grindr, Facebook, and Instagram. Analyzing ad characteristics, we found ads that used suggestive content, animation, and included study or institution logos were associated with greater engagement. Ads that emphasized convenience of the research (e.g. mentioned participating “from home”) and that depicted people of similar races/ethnicities were also associated with greater engagement among Black and Hispanic/Latino sexual minority men. CONCLUSIONS: We found that advertisements on mainstream social media sites are most cost effective. Although gay-oriented dating platforms were much more effective at reaching the target population, they were considerably more expensive. We also identified ad characteristics that were particularly effective in engaging users. These results could inform the design of online public health outreach campaigns for similar populations to improve their engagement and reach. Findings also demonstrated the value of conducting focused research on the effectiveness of various online marketing strategies. SAGE Publications 2023-11-23 /pmc/articles/PMC10668575/ /pubmed/38025100 http://dx.doi.org/10.1177/20552076231216547 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License (https://creativecommons.org/licenses/by-nc-nd/4.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Wray, Tyler B
Chan, Philip A
Klausner, Jeffrey D
Ward, Lori M
Liu, Abraham Y
Carr, Daniel J
Ocean, Erik MS
Phelan, Chanda
Liu, Tao
Using web analytics data to identify platforms and content that best engage high-priority HIV populations in online and social media marketing advertisements
title Using web analytics data to identify platforms and content that best engage high-priority HIV populations in online and social media marketing advertisements
title_full Using web analytics data to identify platforms and content that best engage high-priority HIV populations in online and social media marketing advertisements
title_fullStr Using web analytics data to identify platforms and content that best engage high-priority HIV populations in online and social media marketing advertisements
title_full_unstemmed Using web analytics data to identify platforms and content that best engage high-priority HIV populations in online and social media marketing advertisements
title_short Using web analytics data to identify platforms and content that best engage high-priority HIV populations in online and social media marketing advertisements
title_sort using web analytics data to identify platforms and content that best engage high-priority hiv populations in online and social media marketing advertisements
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10668575/
https://www.ncbi.nlm.nih.gov/pubmed/38025100
http://dx.doi.org/10.1177/20552076231216547
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