Publication Type

Journal Article

Version

publishedVersion

Publication Date

9-2021

Abstract

Although established marketing techniques have been applied to design more effective health campaigns, more often than not, the same message is broadcasted to large populations, irrespective of unique characteristics. As individual digital device use has increased, so have individual digital footprints, creating potential opportunities for targeted digital health interventions. We propose a novel precision public health campaign framework to structure and standardize the process of designing and delivering tailored health messages to target particular population segments using social media–targeted advertising tools. Our framework consists of five stages: defining a campaign goal, priority audience, and evaluation metrics; splitting the target audience into smaller segments; tailoring the message for each segment and conducting a pilot test; running the health campaign formally; and evaluating the performance of the campaigns. We have demonstrated how the framework works through 2 case studies. The precision public health campaign framework has the potential to support higher population uptake and engagement rates by encouraging a more standardized, concise, efficient, and targeted approach to public health campaign development.

Keywords

precision public health, tailored health communication, social media advertising, Facebook advertising, public health campaigns, effectiveness of campaigns, public health, advertising

Discipline

Databases and Information Systems | Public Health | Public Relations and Advertising | Social Media

Research Areas

Data Science and Engineering

Publication

JMIR Formative Research

Volume

5

Issue

9

First Page

1

Last Page

17

Identifier

10.2196/22313

Publisher

JMIR Publications / Journal of Medical Internet Research

Copyright Owner and License

Authors

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Additional URL

https://doi.org/10.2196/22313

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