Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook
Operations and Information Management Department; Faculty Adviser: Kartik Hosanagar
This research builds on prior research funded by the Baker Retailing Center: The Effect of Advertising Content on Consumer Engagement: Evidence from Facebook. The first paper investigated what content (e.g., price, deal, emotional, philanthropic) in companies’ posts on their Facebook pages drives more engagement, as measured by the number of likes and comments, with post-day-level panel data spanning more than 100,000 unique messages across about 800 companies over an eleven-month period. The research employs cutting-edge natural language processing in combination with econometric methodology to analyze large-scale text data with causal implications.
This paper extends previous research to study how variety of different product attributes as well as industry-level attributes moderate the effect of content strategy for engagement. While the first paper examined the content strategy at the higher level, this paper investigates this at a more detailed level, providing more direct strategy suggestions for retailers based on what industry segment they are in and the kinds of products they want to market.
Publications, Presentations & Awards
Lee, Dokyun, Kartik Hosanagar and Harikesh Nair (2018), “Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook,” Management Science, published in Articles in Advance, January 2018, pp. 1-27 https://pubsonline.informs.org/doi/pdf/10.1287/mnsc.2017.2902.
In the Press:
This research, co-authored by Kartik Hosanagar of Wharton, Dokyun Lee of Carnegie Mellon University, and Stanford University’s Harikesh Nair, takes a closer look at brand posts on Facebook to determine the type and mix of content advertisers should aim for to get results:
“How Brands Can Engineer Social Media Content,” Knowledge at Wharton (July 18, 2017). http://knowledge.wharton.upenn.edu/article/facebook-posts-best/
INFORMS, San Francisco, CA, 2014
The Lave Weil Faculty Research Award 2016
INFORMS – ISS Nunamaker-Chen Dissertation Award, Runner Up
WISE 2014 Best Student Paper, Runner Up
Nominated for Management Science Best paper IS section