The Strategic Goals of US Election Ads on Social Media

Election campaigns increasingly pursue their strategic goals online, using digital advertising not only to persuade voters but also to raise funds, mobilize supporters, and collect data. These varied objectives reflect how campaigns operate within broader networks of candidates, parties, and outside groups. The extended party network forms the strategic backbone of modern U.S. campaigns, yet its internal division of labor in paid advertising has remained largely unmeasured. By classifying the goals of over 377,000 Facebook and Instagram ads from the 2022 US elections, we provide empirical evidence about the strategic behavior of candidates, parties, and outside groups. To this end, we build on previous work to extend and refine a taxonomy of nine goals for online election ads: acquisition, contact, donate, event, learn, persuade, poll, purchase, and vote. We analyze how advertisers allocate spending across goals and show that some — notably persuasion, donation, and learn — receive far greater spending than others. We also show that different types of sponsors often pursue different goals. For example, candidate advertisers devote a much higher share of their ads to fundraising than non-candidate advertisers, highlighting the costs of running for political office in the US. We also find that ad goals vary depending on the timing of the ad, the type of sponsor, and the characteristics of the targeted audience. Together, these findings offer the first systematic multi-sponsor account of how digital advertising reflects a functional division of labor within the extended party network that structures contemporary U.S. campaigns.

Authors

Institutions

Publication Details

Journal
Journal of Quantitative Description Digital Media
Published
2025-12-04
DOI
https://doi.org/10.51685/jqd.2025.024
Primary Topic
Social Media and Politics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Strategic Goals of US Election Ads on Social Media

Sebastian Zimmeck, Michael M. Franz, Markus Neumann, Erika Franklin Fowler et al.
Journal of Quantitative Description Digital Media
Social Media and Politics
article

The Strategic Goals of US Election Ads on Social Media

Sebastian Zimmeck, Michael M. Franz, Markus Neumann, Erika Franklin Fowler, Travis N. Ridout, Jielu Yao, Breeze Floyd
article en

Abstract

Election campaigns increasingly pursue their strategic goals online, using digital advertising not only to persuade voters but also to raise funds, mobilize supporters, and collect data. These varied objectives reflect how campaigns operate within broader networks of candidates, parties, and outside groups. The extended party network forms the strategic backbone of modern U.S. campaigns, yet its internal division of labor in paid advertising has remained largely unmeasured. By classifying the goals of over 377,000 Facebook and Instagram ads from the 2022 US elections, we provide empirical evidence about the strategic behavior of candidates, parties, and outside groups. To this end, we build on previous work to extend and refine a taxonomy of nine goals for online election ads: acquisition, contact, donate, event, learn, persuade, poll, purchase, and vote. We analyze how advertisers allocate spending across goals and show that some — notably persuasion, donation, and learn — receive far greater spending than others. We also show that different types of sponsors often pursue different goals. For example, candidate advertisers devote a much higher share of their ads to fundraising than non-candidate advertisers, highlighting the costs of running for political office in the US. We also find that ad goals vary depending on the timing of the ad, the type of sponsor, and the characteristics of the targeted audience. Together, these findings offer the first systematic multi-sponsor account of how digital advertising reflects a functional division of labor within the extended party network that structures contemporary U.S. campaigns.

Journal of Quantitative Description Digital MediaVol. 5
Wesleyan University (US), Bowdoin College (US), National University of Singapore (SG), Duke Kunshan University (CN), Washington State University (US)
National Science Foundation
Openalex Percentile: Top 57%
Social Media and Politics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.