A Comparison of Approaches to Advertising Measurement: Evidence from Big Field Experiments at Facebook
Abstract
Observational methods often fail to accurately recover the treatment effects generated from randomized advertising experiments on Facebook.
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Large-scale studies suggest that most of the time, due to methodological issues, the efficiency of targeting is largely overstated.
“Large-scale studies suggest that most of the time, due to methodological issues, the efficiency of targeting is largely overstated (Gordon et al., 2019;Lewis and Reiley, 2014), and that, overall,”
From How online advertising targets consumers: The uses of categories and algorithmic tools by audience planners (2024) · cites this paper as Gordon et al., 2019
Computer generated categories and optimization are not just overstated, they also neither match the power of demographics as standards, nor the idiosyncratic meaningfulness of custom audiences.
“computer generated categories and optimization are not just overstated (Aral, 2020;Gordon et al., 2019), they also neither match the power of demographics as standards, nor the idiosyncratic meaningfulness of custom audiences.”
From How online advertising targets consumers: The uses of categories and algorithmic tools by audience planners (2024) · cites this paper as Gordon et al., 2019
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- Authors
- Gordon, B. R., Zettelmeyer, F., Bhargava, N., & Chapsky, D.
- Affiliations
- Northwestern University (US)
- Meta (United States) (US)
- Corresponding author
- Gordon, Brett R.
- Zettelmeyer, Florian
- Chapsky, Dan
- Venue
- Marketing Science
- Published
- 2019-03
- Volume
- 38
- Issue
- 2
- Pages
- 193-225
- ISSN
- 0732-2399 (ISSN-L)
- 1526-548X
- OpenAlex
- W2564917231
- Cited by
- 287
- References
- 57
- Citations by year
- 2026: 41 · 2025: 38 · 2024: 24 · 2023: 41 · 2022: 35 · 2021: 31 · 2020: 45 · 2019: 14 · 2018: 9 · 2017: 5 · 2016: 2 · 2015: 1 · 2013: 1
- FWCI
- 62.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Marketing Science (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
- Keywords
- advertising measurement, randomized field experiment, observation method, treatment effect estimation, Facebook, social media advertising, causal inference
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