Cited by 287Digital Marketing and Social MediaAdvanced Causal Inference TechniquesConsumer Market Behavior and Pricing

A Comparison of Approaches to Advertising Measurement: Evidence from Big Field Experiments at Facebook

Gordon, Brett R., Zettelmeyer, Florian, Bhargava, Neha, Chapsky, Dan·2019·Marketing Science

Abstract

Observational methods often fail to accurately recover the treatment effects generated from randomized advertising experiments on Facebook.

Integrity signals

Registry

Crossref · 10.1287/mksc.2018.1135

Cites

55 of 55 references verified0 citation errors · 0 not checkable

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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,”
  • 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.”

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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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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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