Coarse Personalization
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Peter E. Rossi & Robert E. McCulloch & Greg M. Allenby, 1996. "The Value of Purchase History Data in Target Marketing," Marketing Science, INFORMS, vol. 15(4), pages 321-340.
- Neeraj Arora & Xavier Dreze & Anindya Ghose & James Hess & Raghuram Iyengar & Bing Jing & Yogesh Joshi & V. Kumar & Nicholas Lurie & Scott Neslin & S. Sajeesh & Meng Su & Niladri Syam & Jacquelyn Thom, 2008. "Putting one-to-one marketing to work: Personalization, customization, and choice," Marketing Letters, Springer, vol. 19(3), pages 305-321, December.
- Alfred Galichon, 2016. "Optimal Transport Methods in Economics," Economics Books, Princeton University Press, edition 1, number 10870.
- Stefan Wager & Susan Athey, 2018.
"Estimation and Inference of Heterogeneous Treatment Effects using Random Forests,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(523), pages 1228-1242, July.
- Wager, Stefan & Athey, Susan, 2017. "Estimation and Inference of Heterogeneous Treatment Effects Using Random Forests," Research Papers 3576, Stanford University, Graduate School of Business.
- Marianne Bertrand & Dean Karlan & Sendhil Mullainathan & Eldar Shafir & Jonathan Zinman, 2010.
"What's Advertising Content Worth? Evidence from a Consumer Credit Marketing Field Experiment,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 263-306.
- Bertrand, Marianne & Karlan, Dean & Mullainathan, Sendhil & Shafir, Eldar & Zinman, Jonathan, 2009. "What's Advertising Content Worth? Evidence from a Consumer Credit Marketing Field Experiment," Working Papers 58, Yale University, Department of Economics.
- Bertrand, Marianne & Karlan, Dean S. & Mullainathan, Sendhil & Shafir, Eldar & Zinman, Jonathan, 2009. "What's Advertising Content Worth? Evidence from a Consumer Credit Marketing Field Experiment," Center Discussion Papers 47038, Yale University, Economic Growth Center.
- Marianne Bertrand & Sendhil Mullainathan & Dean Karlan & Eldar Shafir & Jonathan Zinman, 2009. "What's Advertising Content Worth? Evidence from a Consumer Credit Marketing Field Experiment," Working Papers 968, Economic Growth Center, Yale University.
- Toru Kitagawa & Aleksey Tetenov, 2018.
"Who Should Be Treated? Empirical Welfare Maximization Methods for Treatment Choice,"
Econometrica, Econometric Society, vol. 86(2), pages 591-616, March.
- Toru Kitagawa & Aleksey Tetenov, 2015. "Who should be treated? Empirical welfare maximization methods for treatment choice," CeMMAP working papers CWP10/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Toru Kitagawa & Aleksey Tetenov, 2017. "Who should be treated? Empirical welfare maximization methods for treatment choice," CeMMAP working papers CWP24/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Toru Kitagawa & Aleksey Tetenov, 2015. "Who should be Treated? Empirical Welfare Maximization Methods for Treatment Choice," Carlo Alberto Notebooks 402, Collegio Carlo Alberto.
- Bertrand, Marianne & Karlan, Dean S. & Mullainathan, Sendhil & Shafir, Eldar & Zinman, Jonathan, 2005.
"What's Psychology Worth? A Field Experiment in the Consumer Credit Market,"
Center Discussion Papers
28441, Yale University, Economic Growth Center.
- Marianne Bertrand & Dean S. Karlan & Sendhil Mullainathan & Eldar Shafir & Jonathan Zinman, 2005. "What's Psychology Worth? A Field Experiment in the Consumer Credit Market," Working Papers 918, Economic Growth Center, Yale University.
- Marianne Bertrand & Dean Karlan & Sendhil Mullainathan & Eldar Shafir & Jonathan Zinman, 2006. "What's psychology worth? A field experiment in the consumer credit market," Natural Field Experiments 00217, The Field Experiments Website.
- Marianne Bertrand & Sendhil Mullainathan & Dean Karlan & Eldar Shafir & Jonathan Zinman, 2009. "What's Advertising Content Worth? Evidence from a Consumer Credit Marketing Field Experiment," Working Papers 968, Economic Growth Center, Yale University.
- Marianne Bertrand & Dean Karlin & Sendhil Mullainathan & Eldar Shafir & Jonathan Zinman, 2005. "What's Psychology Worth? A Field Experiment in the Consumer Credit Market," NBER Working Papers 11892, National Bureau of Economic Research, Inc.
- Bharat Chandar & Uri Gneezy & John A. List & Ian Muir, 2019.
"The Drivers of Social Preferences: Evidence from a Nationwide Tipping Field Experiment,"
NBER Working Papers
26380, National Bureau of Economic Research, Inc.
- Bharat Chandar & Uri Gneezy & John List & Ian Muir, 2019. "The Drivers of Social Preferences: Evidence from a Nationwide Tipping Field Experiment," Natural Field Experiments 00680, The Field Experiments Website.
- Greg Shaffer & Z. John Zhang, 1995. "Competitive Coupon Targeting," Marketing Science, INFORMS, vol. 14(4), pages 395-416.
- Guillaume Carlier & Victor Chernozhukov & Alfred Galichon, 2015.
"Vector quantile regression: an optimal transport approach,"
CeMMAP working papers
58/15, Institute for Fiscal Studies.
- Guillaume Carlier & Victor Chernozhukov & Alfred Galichon, 2016. "Vector Quantile Regression: An Optimal Transport Approach," SciencePo Working papers Main hal-03567920, HAL.
- Guillaume Carlier & Victor Chernozhukov & Alfred Galichon, 2016. "Vector Quantile Regression: An Optimal Transport Approach," Post-Print hal-03567920, HAL.
- Guillaume Carlier & Victor Chernozhukov & Alfred Galichon, 2015. "Vector quantile regression: an optimal transport approach," CeMMAP working papers CWP58/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Jie Zhang & Lakshman Krishnamurthi, 2004. "Customizing Promotions in Online Stores," Marketing Science, INFORMS, vol. 23(4), pages 561-578, June.
- Eytan Sheshinski & Yoram Weiss, 1977. "Inflation and Costs of Price Adjustment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 44(2), pages 287-303.
- Hema Yoganarasimhan & Ebrahim Barzegary & Abhishek Pani, 2020. "Design and Evaluation of Personalized Free Trials," Papers 2006.13420, arXiv.org.
- Alfred Galichon, 2016. "Optimal transport methods in economics," Post-Print hal-03256830, HAL.
- Susan Athey & Stefan Wager, 2021.
"Policy Learning With Observational Data,"
Econometrica, Econometric Society, vol. 89(1), pages 133-161, January.
- Susan Athey & Stefan Wager, 2017. "Policy Learning with Observational Data," Papers 1702.02896, arXiv.org, revised Sep 2020.
- repec:hal:spmain:info:hdl:2441/4c5431jp6o888pdrcs0fuirl40 is not listed on IDEAS
- repec:hal:spmain:info:hdl:2441/5rkqqmvrn4tl22s9mc0c7apsi is not listed on IDEAS
- Dirk Bergemann & Alessandro Bonatti, 2011. "Targeting in advertising markets: implications for offline versus online media," RAND Journal of Economics, RAND Corporation, vol. 42(3), pages 417-443, September.
- Andris A. Zoltners & Prabhakant Sinha, 1983. "Sales Territory Alignment: A Review and Model," Management Science, INFORMS, vol. 29(11), pages 1237-1256, November.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Mariia I. Okuneva & Dmitriy B. Potapov, 2015. "The Effectiveness of Individual Targeting Through Smartphone Application in Retail: Evidence from Field Experiment," HSE Working papers WP BRP 47/MAN/2015, National Research University Higher School of Economics.
- John Aloysius & Cary Deck & Amy Farmer, 2013. "Sequential Pricing of Multiple Products: Leveraging Revealed Preferences of Retail Customers Online and with Auto-ID Technologies," Information Systems Research, INFORMS, vol. 24(2), pages 372-393, June.
- Sunil Wattal & Rahul Telang & Tridas Mukhopadhyay & Peter Boatwright, 2012. "What's in a “Name”? Impact of Use of Customer Information in E-Mail Advertisements," Information Systems Research, INFORMS, vol. 23(3-part-1), pages 679-697, September.
- Kurt P. Munz & Minah H. Jung & Adam L. Alter, 2020. "Name Similarity Encourages Generosity: A Field Experiment in Email Personalization," Marketing Science, INFORMS, vol. 39(6), pages 1071-1091, November.
- Florian Gunsilius & Susanne M. Schennach, 2017.
"A nonlinear principal component decomposition,"
CeMMAP working papers
16/17, Institute for Fiscal Studies.
- Florian Gunsilius & Susanne M. Schennach, 2017. "A nonlinear principal component decomposition," CeMMAP working papers CWP16/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Goic, Marcel & Rojas, Andrea & Saavedra, Ignacio, 2021. "The Effectiveness of Triggered Email Marketing in Addressing Browse Abandonments," Journal of Interactive Marketing, Elsevier, vol. 55(C), pages 118-145.
- Henrika Langen & Martin Huber, 2022. "How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign," Papers 2204.10820, arXiv.org, revised Jun 2022.
- Bjorkegren, Dan & Blumenstock, Joshua & Knight, Samsun, 2022.
"(Machine) Learning What Policies Value,"
CEPR Discussion Papers
17364, C.E.P.R. Discussion Papers.
- Daniel Bjorkegren & Joshua E. Blumenstock & Samsun Knight, 2022. "(Machine) Learning What Policies Value," Papers 2206.00727, arXiv.org.
- Augustine Denteh & Helge Liebert, 2022.
"Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment,"
Papers
2201.07072, arXiv.org, revised Apr 2023.
- Augustine Denteh & Helge Liebert, 2022. "Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment," CESifo Working Paper Series 9664, CESifo.
- Denteh, Augustine & Liebert, Helge, 2022. "Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment," IZA Discussion Papers 15192, Institute of Labor Economics (IZA).
- Augustine Denteh & Helge Liebert, 2022. "Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment," Working Papers 2201, Tulane University, Department of Economics.
- Johannes Haushofer & Paul Niehaus & Carlos Paramo & Edward Miguel & Michael W. Walker, 2022.
"Targeting Impact versus Deprivation,"
NBER Working Papers
30138, National Bureau of Economic Research, Inc.
- Haushofer, Johannes & Niehaus, Paul & Paramo, Carlos & Miguel, Edward & Walker, Michael W, 2022. "Targeting Impact Versus Deprivation," Department of Economics, Working Paper Series qt07j8n9vz, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
- Takanori Ida & Takunori Ishihara & Koichiro Ito & Daido Kido & Toru Kitagawa & Shosei Sakaguchi & Shusaku Sasaki, 2022.
"Choosing Who Chooses: Selection-Driven Targeting in Energy Rebate Programs,"
NBER Working Papers
30469, National Bureau of Economic Research, Inc.
- IDA Takanori & ISHIHARA Takunori & ITO Koichiro & KIDO Daido & KITAGAWA Toru & SAKAGUCHI Shosei & SASAKI Shusaku, 2023. "Choosing Who Chooses: Selection-driven targeting in energy rebate programs," Discussion papers 23011, Research Institute of Economy, Trade and Industry (RIETI).
- Takanori Ida & Takunori Ishihara & Koichiro Ito & Daido Kido & Toru Kitagawa & Shosei Sakaguchi & Shusaku Sasaki, 2021. "Paternalism, Autonomy, or Both? Experimental Evidence from Energy Saving Programs," Papers 2112.09850, arXiv.org.
- Ganesh Karapakula, 2023. "Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap," Papers 2301.05703, arXiv.org, revised Jan 2023.
- Ruodu Wang & Zhenyuan Zhang, 2022. "Simultaneous Optimal Transport," Papers 2201.03483, arXiv.org, revised May 2023.
- Florian Gunsilius & Susanne Schennach, 2023.
"Independent Nonlinear Component Analysis,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 118(542), pages 1305-1318, April.
- Florian Gunsilius & Susanne M. Schennach, 2019. "Independent nonlinear component analysis," CeMMAP working papers CWP46/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Juanjuan Zhang, 2011. "The Perils of Behavior-Based Personalization," Marketing Science, INFORMS, vol. 30(1), pages 170-186, 01-02.
- Thomas Reutterer & Kurt Hornik & Nicolas March & Kathrin Gruber, 2017. "A data mining framework for targeted category promotions," Journal of Business Economics, Springer, vol. 87(3), pages 337-358, April.
- Adam N. Smith & Stephan Seiler & Ishant Aggarwal, 2021. "Optimal Price Targeting," CESifo Working Paper Series 9439, CESifo.
- Dmitry Arkhangelsky, 2019. "Dealing with a Technological Bias: The Difference-in-Difference Approach," Working Papers wp2019_1903, CEMFI.
- Cordier, J.; & Salvi, I.; & Steinbeck, V.; & Geissler, A.; & Vogel, J.;, 2023. "Is rapid recovery always the best recovery? - Developing a machine learning approach for optimal assignment rules under capacity constraints for knee replacement patients," Health, Econometrics and Data Group (HEDG) Working Papers 23/08, HEDG, c/o Department of Economics, University of York.
More about this item
NEP fields
This paper has been announced in the following NEP Reports:- NEP-EXP-2022-05-09 (Experimental Economics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2204.05793. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.