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Measuring the Factors Influencing Purchasing Decisions: Evidence From Cursor Tracking and Cognitive Modeling

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  • Geoffrey Fisher

    (Dyson School of Applied Economics and Management, SC Johnson College of Business, Cornell University, Ithaca, New York 14853)

Abstract

Whether to purchase a product is of fundamental importance to marketing, but purchasing behaviors vary widely across individuals and contexts. This paper proposes that a sizeable fraction of this variation is associated with differences in the time at which a product’s desirability and its price are processed and utilized by consumers. To test this hypothesis, participants purchased different products while their mouse cursor movements associated with purchasing an option were recorded across three laboratory studies. These natural cursor movements and estimates from a cognitive model identified the time at which product desirability and price each began to influence decisions. On average, we found that product desirability impacted the decision-making process significantly earlier than price. Moreover, the difference in the time at which product and price influenced choice explained a sizeable fraction of the variation in the option that was purchased. Additional analysis and studies revealed that the time at which an attribute begins to influence decisions can be altered by simple marketing actions, such as a product’s visual display and price discount framing, and that these actions have consequences for choice. Together, these results add to our understanding of how consumers make simple purchasing decisions.

Suggested Citation

  • Geoffrey Fisher, 2023. "Measuring the Factors Influencing Purchasing Decisions: Evidence From Cursor Tracking and Cognitive Modeling," Management Science, INFORMS, vol. 69(8), pages 4558-4578, August.
  • Handle: RePEc:inm:ormnsc:v:69:y:2023:i:8:p:4558-4578
    DOI: 10.1287/mnsc.2022.4598
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    References listed on IDEAS

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    1. Drew Fudenberg & Philipp Strack & Tomasz Strzalecki, 2018. "Speed, Accuracy, and the Optimal Timing of Choices," American Economic Review, American Economic Association, vol. 108(12), pages 3651-3684, December.
    2. Simonson, Itamar, 1989. "Choice Based on Reasons: The Case of Attraction and Compromise Effects," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 16(2), pages 158-174, September.
    3. Michel Wedel & Rik Pieters, 2000. "Eye Fixations on Advertisements and Memory for Brands: A Model and Findings," Marketing Science, INFORMS, vol. 19(4), pages 297-312, October.
    4. Paul E. Stillman & Melissa J. Ferguson, 2019. "Decisional Conflict Predicts Impatience," Journal of the Association for Consumer Research, University of Chicago Press, vol. 4(1), pages 47-56.
    5. Silvia U. Maier & Anjali Raja Beharelle & Rafael Polanía & Christian C. Ruff & Todd A. Hare, 2020. "Dissociable mechanisms govern when and how strongly reward attributes affect decisions," Nature Human Behaviour, Nature, vol. 4(9), pages 949-963, September.
    6. Cary Frydman & Gideon Nave, 2017. "Extrapolative Beliefs in Perceptual and Economic Decisions: Evidence of a Common Mechanism," Management Science, INFORMS, vol. 63(7), pages 2340-2352, July.
    7. Min Ding & Rajdeep Grewal & John Liechty, 2005. "Incentive-aligned conjoint analysis," Framed Field Experiments 00139, The Field Experiments Website.
    8. Savannah Wei Shi & Michel Wedel & F. G. M. (Rik) Pieters, 2013. "Information Acquisition During Online Decision Making: A Model-Based Exploration Using Eye-Tracking Data," Management Science, INFORMS, vol. 59(5), pages 1009-1026, May.
    9. Nicolette J. Sullivan & Scott A. Huettel, 2021. "Healthful choices depend on the latency and rate of information accumulation," Nature Human Behaviour, Nature, vol. 5(12), pages 1698-1706, December.
    10. repec:cup:judgdm:v:3:y:2008:i::p:396-403 is not listed on IDEAS
    11. Arkady Konovalov & Ian Krajbich, 2016. "Gaze data reveal distinct choice processes underlying model-based and model-free reinforcement learning," Nature Communications, Nature, vol. 7(1), pages 1-11, November.
    12. Dan Ariely & George Loewenstein & Drazen Prelec, 2003. ""Coherent Arbitrariness": Stable Demand Curves Without Stable Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 73-106.
    13. Busemeyer, Jerome R. & Diederich, Adele, 2002. "Survey of decision field theory," Mathematical Social Sciences, Elsevier, vol. 43(3), pages 345-370, July.
    14. Eric J. Johnson & David A. Schkade, 1989. "Bias in Utility Assessments: Further Evidence and Explanations," Management Science, INFORMS, vol. 35(4), pages 406-424, April.
    15. Anil Kaul & Dick R. Wittink, 1995. "Empirical Generalizations About the Impact of Advertising on Price Sensitivity and Price," Marketing Science, INFORMS, vol. 14(3_supplem), pages 151-160.
    16. Daniel M. Bartels & Oleg Urminsky, 2015. "To Know and to Care: How Awareness and Valuation of the Future Jointly Shape Consumer Spending," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(6), pages 1469-1485.
    17. Min Ding & Young-Hoon Park & Eric T. Bradlow, 2009. "Barter Markets for Conjoint Analysis," Management Science, INFORMS, vol. 55(6), pages 1003-1017, June.
    18. Gerald Häubl & Benedict G. C. Dellaert & Bas Donkers, 2010. "Tunnel Vision: Local Behavioral Influences on Consumer Decisions in Product Search," Marketing Science, INFORMS, vol. 29(3), pages 438-455, 05-06.
    19. Olivier Toubia & Martijn G. de Jong & Daniel Stieger & Johann Füller, 2012. "Measuring Consumer Preferences Using Conjoint Poker," Marketing Science, INFORMS, vol. 31(1), pages 138-156, January.
    20. Michael Woodford, 2014. "Stochastic Choice: An Optimizing Neuroeconomic Model," American Economic Review, American Economic Association, vol. 104(5), pages 495-500, May.
    21. Ryan Webb, 2019. "The (Neural) Dynamics of Stochastic Choice," Management Science, INFORMS, vol. 65(1), pages 230-255, January.
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