Abhishek Pani

Independent

SCHOLARLY PAPERS

4

DOWNLOADS

496

SSRN CITATIONS
Rank 47,910

SSRN RANKINGS

Top 47,910

in Total Papers Citations

8

CROSSREF CITATIONS

6

Scholarly Papers (4)

1.

Learning Optimal Online Advertising Portfolios with Periodic Budgets

Number of pages: 41 Posted: 27 Mar 2019
University of Michigan, Stephen M. Ross School of Business, Queen's University - Smith School of Business, Independent and Massachusetts Institute of Technology (MIT) - Sloan School of Management
Downloads 195 (198,140)
Citation 3

Abstract:

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Online Advertising, Online Learning, Multi-Armed Bandits, Upper Confidence Bound Algorithm

2.

Attribution Strategies and Return on Keyword Investment in Paid Search Advertising

Li, H., Kannan, P. K., Viswanathan, V., & Pani, A. (2016). Attribution strategies and return on keyword investment in paid search advertising. Marketing Science, forthcoming., Kelley School of Business Research Paper No. 16-31
Number of pages: 42 Posted: 20 Apr 2016 Last Revised: 04 Jul 2017
Ohio State University (OSU) - Department of Marketing and Logistics, University of Maryland - Robert H. Smith School of Business, University of Maryland - Robert H. Smith School of Business and Independent
Downloads 127 (282,444)
Citation 2

Abstract:

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attribution strategies, paid search advertising, ROI, keyword specificity, budget allocation, simultaneous equations system

3.

Dynamic Creative Optimization in Online Display Advertising

Number of pages: 33 Posted: 10 Jun 2021
University of Michigan, Stephen M. Ross School of Business, Queen's University - Smith School of Business, Independent and Massachusetts Institute of Technology (MIT) - Sloan School of Management
Downloads 97 (340,408)
Citation 1

Abstract:

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Online Advertising, Online Matching, Approximation Algorithms

4.

Design and Evaluation of Personalized Free Trials

Number of pages: 55 Posted: 06 Aug 2020
University of Washington, affiliation not provided to SSRN and Independent
Downloads 77 (391,830)
Citation 4

Abstract:

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free trials, targeting, personalization, counterfactual policy evaluation, field experiment, machine learning, policy design, digital marketing