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Kristen Sussman

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Assistant Professor of Advertising

Texas State University
Country flagUnited States

Research Interests

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About

Kristen Sussman is an Assistant Professor at Texas State University, located in the United States. Her research areas include brand activism, social media marketing, and digital consumer engagement, with a focus on contemporary issues such as the COVID-19 pandemic. Recent articles authored by her delve into topics like sentiment analysis in social media, native advertising, and the motivations behind consumer engagement with social media influencers.

Recent Grants

Grant: Close

Multilingual AI-Assisted Emergency Preparedness: Enhancing Resilience and Equity in Underserved Communities during Climate Change-Induced Weather Events

Open Date: 2023-08-01

Close Date: 2024-07-01

Articles (11)

Year:

2026

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2026

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2025

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2024

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2024

Social media platforms like Facebook and Twitter have emerged as effective channels for advertising that enable consumer targeting based on demographics, interests, and user behavior. Social media marketers have utilized information spillover within these platforms to reach a larger customer base. This information spillover also exists across groups of users within the platform and enhances returns from social media advertising. Thus, this information spillover can be utilized to strategically sequence targeted advertising to amplify the returns from social media ads. In this paper, we present a theoretical model for information retention and show that the sequential advertising strategy is effective in targeting groups of users on a social media platform. In addition, we provide empirical evidence through two series of randomized field experiments. From experiments for a health services organization, we find that sequential advertising campaigns provide 23% more clicks when compared to campaigns that target groups simultaneously, which translates to a saving of 18.7% in the advertising budget to achieve similar results as simultaneous advertising. Additionally, we found that sequential advertising campaigns targeting a smaller group first followed by a larger group provide 10.7% additional clicks when compared to targeting a larger group first followed by a smaller group. These results were consistent for consumer packaged goods that were advertised on Facebook and Twitter. These results provide implications for social media advertising research and practice.

Year:

2023

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2023

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2023

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2023

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2022

Year:

2022

Collaborators (5)

Jiemin Looi

Assistant Professor

Nanyang Technological University (NTU)

SINGAPORE
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Sean Upshaw

Assistant Professor of Visual Information and Persuasion in Health Communication

University of Texas at Austin

UNITED STATES
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Joshua Anderson

Assistant Professor

University of Arizona

UNITED STATES
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Gary Wilcox

Professor

University of Texas at Austin

UNITED STATES
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Rajiv Garg

Associate Professor

Emory University Goizueta Business School

UNITED STATES
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