Ogilvy Digital Media’s Impact on Development Strategy Research and Advertising Communication

Wenle Huang

doi:10.54097/br7tt871

Authors

Wenle Huang

DOI:

https://doi.org/10.54097/br7tt871

Keywords:

Social Media; Digital Channel; Advertisement; Advertising; Data Mining.

Abstract

This study investigates Ogilvy, a leading organization in the United States, and its interest in utilizing social marketing strategies, artificial intelligence, and data mining technology to enhance the efficacy and efficiency of advertisement distribution on social media. The research draws on organizational information, secondary journals, and other secondary data sources to analyze the drawbacks of Ogilvy’s current advertisement distribution and design strategies. The study identifies key risks faced by Ogilvy, including unintentional participation in greenwashing activities, rising audience concerns about data security, and the increased risk of incorporating inappropriate content in advertisements. These risks and uncertainties have the potential to damage Ogilvy’s business reputation. To address these challenges, the article proposes three solutions based on current advertisement design and distribution strategies. These solutions aim to help Ogilvy mitigate potential risks and decrease uncertainties in future advertisement design and distribution for business clients. By implementing these strategies, Ogilvy can safeguard its reputation and maintain its leadership position in the advertising industry.

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