Category Congruence of Display-Only Products Influences Attention and Purchase Decisions

In e-commerce settings, shoppers can navigate to product-specific pages on which they are asked to make yes-or-no decisions about buying a particular item. Beyond that target, there are often other products displayed on the page, such as those suggested by the retailers’ recommendation systems, that can influence consumers’ buying behavior. We propose that display items that come from the same category as the target product (matched) may enhance target purchase by increasing the attractiveness of the presented opportunity. Contrasting this, mismatched display items may reduce purchase by raising awareness of opportunity costs. Eye-tracking was used to explore this framework by examining how different types of displays influenced visual attention. Although target purchase rates were higher for products with matched vs. mismatched displays, there was no difference in fixation time for the target images. However, participants attended to mismatched display items for more time than they did for matched ones consistent with the hypothesized processes. In addition, increases in display attractiveness increased target purchase, but only for matched items, in line with supporting the target category. Given the importance of relative attention and information in determining the impact of display items, we replicated the overall purchase effect across varying amounts of available display information in a second behavioral study. This demonstration of robustness supports the translational relevance of these findings for application in industry.

[1]  Ryan Hamilton,et al.  Intermediate Choice Lists: How Product Attributes Influence Purchase Likelihood in a Self-Imposed Delay , 2020 .

[2]  Candace Moore Normalization (general) , 2020, Radiopaedia.org.

[3]  A Brief History of Research: , 2020, The Dialectic of Practice and the Logical Structure of the Tool.

[4]  Paul W. Glimcher,et al.  The Normalization of Consumer Valuations: Context-Dependent Preferences from Neurobiological Constraints , 2019, Manag. Sci..

[5]  R. Dhar,et al.  Apples, Oranges, and Erasers: The Effect of Considering Similar versus Dissimilar Alternatives on Purchase Decisions , 2018 .

[6]  U. Karmarkar,et al.  Dissociable components of the reward circuit are involved in appraisal versus choice , 2017, Scientific Reports.

[7]  U. Karmarkar The Impact of “Display‐Set” Options on Decision‐Making , 2017 .

[8]  Jennifer S. Trueblood,et al.  The Phantom Decoy Effect in Perceptual Decision Making , 2017 .

[9]  Daniel M. Bartels,et al.  On the Mental Accounting of Restricted-Use Funds: How Gift Cards Change What People Purchase , 2015 .

[10]  Stephen A. Spiller,et al.  Opportunity Cost Neglect Attenuates the Effect of Choices on Preferences , 2015, Psychological science.

[11]  U. Karmarkar,et al.  Cost Conscious? The Neural and Behavioral Impact of Price Primacy on Decision Making , 2015 .

[12]  D. Ariely,et al.  Money, Time, and the Stability of Consumer Preferences , 2015 .

[13]  M. Zeelenberg,et al.  Set-fit effects in choice. , 2014, Journal of experimental psychology. General.

[14]  Gabriele Pizzi,et al.  The Impact of Phantom Decoys on Choices and Perceptions , 2013 .

[15]  Antonio Rangel,et al.  Neural Activity Reveals Preferences Without Choices , 2013, American economic journal. Microeconomics.

[16]  Mel W. Khaw,et al.  Normalization is a general neural mechanism for context-dependent decision making , 2013, Proceedings of the National Academy of Sciences.

[17]  Colin Camerer,et al.  The Attentional Drift-Diffusion Model Extends to Simple Purchasing Decisions , 2012, Front. Psychology.

[18]  Stephen A. Spiller,et al.  Opportunity Cost Consideration , 2011 .

[19]  P. Glimcher,et al.  Choice from Non-Choice: Predicting Consumer Preferences from Blood Oxygenation Level-Dependent Signals Obtained during Passive Viewing , 2011, The Journal of Neuroscience.

[20]  J. Haynes,et al.  Neural Responses to Unattended Products Predict Later Consumer Choices , 2010, The Journal of Neuroscience.

[21]  R. Dhar,et al.  Opportunity Cost Neglect , 2009 .

[22]  V. Michel,et al.  An Automatic Valuation System in the Human Brain: Evidence from Functional Neuroimaging , 2009, Neuron.

[23]  G. Loewenstein,et al.  Neural Predictors of Purchases , 2007, Neuron.

[24]  Sylvain Sénécal,et al.  Consumers' decision-making process and their online shopping behavior: a clickstream analysis , 2005 .

[25]  Simona Botti,et al.  The psychological pleasure and pain of choosing: when people prefer choosing at the cost of subsequent outcome satisfaction. , 2004, Journal of personality and social psychology.

[26]  G. Fitzsimons Consumer Response to Stockouts , 2000 .

[27]  Wedell,et al.  Examining Models of Nondominated Decoy Effects across Judgment and Choice. , 2000, Organizational behavior and human decision processes.

[28]  Valerie J. Trifts,et al.  Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids , 2000 .

[29]  J. Doyle,et al.  The robustness of the asymmetrically dominated effect: Buying frames, phantom alternatives, and in‐store purchases , 1999 .

[30]  M. F. Luce,et al.  Constructive Consumer Choice Processes , 1998 .

[31]  Steven K. Jones,et al.  Choices and opportunities: another effect of framing on decisions , 1998 .

[32]  Dennis L. Hoffman,et al.  Marketing in Hypermedia Computer-Mediated Environments : Conceptual Foundations 1 ) , 1998 .

[33]  P. Farquhar,et al.  Decision structuring with phantom alternatives , 1993 .

[34]  P. Farquhar,et al.  A Brief History of Research on Phantom Alternatives: Evidence for Seven Empirical Generalizations About Phantoms , 1992 .

[35]  I. Simonson,et al.  Choice Based on Reasons: The Case of Attraction and Compromise Effects , 1989 .

[36]  G. Northcraft,et al.  Opportunity costs and the framing of resource allocation decisions , 1986 .

[37]  Christopher P. Puto,et al.  Adding Asymmetrically Dominated Alternatives: Violations of Regularity & the Similarity Hypothesis. , 1981 .

[38]  Monika Kukar-Kinney,et al.  The determinants of consumers’ online shopping cart abandonment , 2010 .

[39]  A. Rangel,et al.  Visual fixations and the computation and comparison of value in simple choice. , 2010, Nature neuroscience.

[40]  Richard H. Thaler,et al.  Mental Accounting and Consumer Choice , 1985, Mark. Sci..

[41]  D. Hoffman,et al.  The Influence of Goal-Directed and Experiential Activities on Online Flow Experiences , 2003 .

[42]  J. Meere The role of attention. , 2002 .

[43]  Vietnam. Bộ kế hoạch và đầu tư,et al.  Choices and opportunities , 2001 .

[44]  Drazen Prelec,et al.  The Red and the Black: Mental Accounting of Savings and Debt , 1998 .