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A Sliced Design Approach for Conducting Online Experiments with Four Platforms, with Application to an Industry Email Campaign
Volume 2, Issue 3 (2024), pp. 311–322
Soheil Sadeghi   Tzu-Hsiang Hung   Peter Chien     All authors (4)

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https://doi.org/10.51387/24-NEJSDS63
Pub. online: 29 May 2024      Type: Methodology Article      Open accessOpen Access
Area: Statistical Methodology

Accepted
20 January 2024
Published
29 May 2024

Abstract

Multivariate testing is a popular method to improve the effectiveness of digital marketing in industry. Online campaigns are often conducted across multiple platforms, such as desktops, tablets, smart phones, and smart watches. We propose minimum sliced aberration designs to accommodate online experiments with four platforms. This approach provides important insights into how different sets of design factors work differently across the four platforms, which can be used by industry for optimizing many forms of digital marketing. The effectiveness of the proposed approach is illustrated by an industrial email campaign with four platforms.

References

[1] 
Addelman, S. Techniques for constructing fractional replicate plans. Journal of the American Statistical Association 58(301) 45–71 (1963). MR0150901
[2] 
Goldfarb, A. and Tucker, C. Online display advertising: Targeting and obtrusiveness. Marketing Science 30(3) 389–404 (2011).
[3] 
Haizler, T. and Steinberg, D. M. Factorial designs for online experiments. Technometrics 63(1) 1–12 (2021). https://doi.org/10.1080/00401706.2019.1701556. MR4205687
[4] 
Kannan, P., Reinartz, W. and Verhoef, P. C. (2016). The path to purchase and attribution modeling: Introduction to special section.
[5] 
Lambrecht, A. and Tucker, C. When does retargeting work? information specificity in online advertising. Journal of Marketing research 50(5) 561–576 (2013).
[6] 
Lenth, R. V. Quick and easy analysis of unreplicated factorials. Technometrics 31(4) 469–473 (1989). https://doi.org/10.2307/1269997. MR1041567
[7] 
Ryan, D. Understanding digital marketing: marketing strategies for engaging the digital generation. Kogan Page Publishers (2016).
[8] 
Sadeghi, S., Chien, P. and Arora, N. Sliced designs for multi-platform online experiments. Technometrics 62(3) 387–402 (2020). https://doi.org/10.1080/00401706.2019.1647288. MR4125504
[9] 
Sahni, N. S., Wheeler, S. C. and Chintagunta, P. Personalization in email marketing: The role of noninformative advertising content. Marketing Science 37(2) 236–258 (2018).
[10] 
Wu, C. J. and Hamada, M. S. Experiments: Planning, Analysis, and Optimization, Volume 552. John Wiley & Sons (2011). MR2583259
[11] 
Wu, C. J. and Zhang, R. Minimum aberration designs with two-level and four-level factors. Biometrika 80. 203–209 (1993). https://doi.org/10.1093/biomet/80.1.203. MR1225225

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© 2024 New England Statistical Society
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Open access article under the CC BY license.

Keywords
Multivariate testing Factorial designs Sliced designs Email campaign

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