Predicting the performance of climate change Facebook ads – Yale Climate Change Communication

Home / Predicting the performance of climate change Facebook ads
We are pleased to announce the publication of a new article, “Predicting the performance of Facebook advertisements about climate change using self-report data” in the journal Environmental Communication.
Social media has become a critical medium for the communication of climate change. However, it is challenging to study the effectiveness of climate change communication on social media platforms like Facebook. Studying people’s interactions (e.g., likes, shares, etc.) on social media can provide important insights, but without the power of a controlled lab test and with very limited information about the end user. On the other hand, a survey can control what participants see and collect individual-level data (e.g., time spent on page) and other important variables.
But the results observed in a survey may not match people’s actual behavior on social media. In this study, we investigated how well participants’ self-reported behavior on a survey matches what participants do on Facebook.
We surveyed 1,015 people about 75 different Facebook posts and asked how likely they would be to click on or share the post. We separately advertised all 75 posts on Facebook, and measured their actual click and share performance. All posts consisted of a headline and a related picture and linked to a news story produced by Yale Climate Connections, our climate news service. Two example posts are shown below.
This shows two example Facebook posts from the study. One the left is a post with the headline “How a Wisconsin woman ditched natural gas,” and the one on the right has the headline “Solar canopies over Indiana airport parking lot provide shade and power.”
We found that a 10 percentage point increase in survey participants’ self-reported likelihood of sharing a post predicted 55% more actual shares on Facebook. Further, a 10 percentage point increase in survey participants’ perceptions that the post would be interesting to others predicted 86% more shares on Facebook. We also found that posts that evoked either a strongly positive or negative emotional response were shared more often than emotionally-neutral posts.
Overall, this study shows that, even if self-reported survey data is an imperfect approximation of how people actually behave on social media, it has significant advantages and insights to offer.
The full article with many other results is available here to those with a subscription to Environmental Communication. If you would like to request a copy of the published paper, please send an email to climatechange@yale.edu with the subject line: Request Predicting Ad Performance paper. Or, a public version is available here.
Goldberg, M. H., Remshard, M., Commerçon, F. A., Ozaksut, J., Lee, S., Rosenthal, S. A., & Leiserowitz, A. (2024). Predicting the Performance of Facebook Advertisements About Climate Change Using Self-report Data. Environmental Communication, 1–15. https://doi.org/10.1080/17524032.2024.2441936.
This research was supported by the MacArthur Foundation, the U.S. Energy Foundation, the Schmidt Family Foundation, and the Arthur Vining Davis Foundations.
© 2026 Yale Program on Climate Change Communication, all rights reserved.
Site by Constructive
Sign up for our Research Alerts
A program of The Yale School of the Environment
Please select all the ways you would like to hear from Yale Program on Climate Change Communication:
You can unsubscribe at any time by clicking the link in the footer of our emails. For information about our privacy practices, please visit our website.
We use Mailchimp as our marketing platform. By clicking below to subscribe, you acknowledge that your information will be transferred to Mailchimp for processing. Learn more about Mailchimp’s privacy practices here.
A confirmation email is on its way to your inbox.
This window will close automatically in 5s

source

Leave a Reply

O seu endereço de e-mail não será publicado. Campos obrigatórios são marcados com *