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The Off by 100% Bias: The Effects of Percentage Changes Greater than 100% on Magnitude Judgments and Consumer Choice
[Numerosity and Consumer Behavior]

Author

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  • Matthew Fisher
  • Milica Mormann

Abstract

Percentage changes greater than 100% are frequently used in consumer contexts; for example, a cordless vacuum cleaner may boast “125% longer runtime” compared to competitors. Via six studies (n = 2,395) and 11 supplementary studies (n = 3,249), the current research shows that consumers systematically underestimate the magnitude of percentage changes greater than 100%. Specifically, many consumers apply the relative size usage (e.g., “125% of,” equivalent to 25% more) instead of the appropriate relative change (e.g., “125% more,” equivalent to 100% more + 25% more), which leads them to be off by exactly 100% in their magnitude estimates. The rate of bias decreases when the difference between these two usages is emphasized. The Off by 100% bias occurs across a variety of consumer contexts, influencing behavioral intentions and incentive-compatible choice. The findings make theoretical contributions to research on processing of percentages, probability versus frequency formats, and magnitude judgments. Finally, understanding how different presentation formats of the same information can lead to different magnitude judgments enables marketers and policymakers to ensure more effective communication.

Suggested Citation

  • Matthew Fisher & Milica Mormann, 2022. "The Off by 100% Bias: The Effects of Percentage Changes Greater than 100% on Magnitude Judgments and Consumer Choice [Numerosity and Consumer Behavior]," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 49(4), pages 561-573.
  • Handle: RePEc:oup:jconrs:v:49:y:2022:i:4:p:561-573.
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    File URL: http://hdl.handle.net/10.1093/jcr/ucac006
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    References listed on IDEAS

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    1. Daniella Kupor & Kristin Laurin & Chris Janiszewski & J Jeffrey Inman, 2020. "Probable Cause: The Influence of Prior Probabilities on Forecasts and Perceptions of Magnitude [Perceived Intent Motivates People to Magnify Observed Harms]," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 46(5), pages 833-852.
    2. Manoj Thomas & Ellie J Kyung & Gita V Johar & Rajesh Bagchi, 2019. "Slider Scale or Text Box: How Response Format Shapes Responses," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 45(6), pages 1274-1293.
    3. Y. Charles Zhang & Norbert Schwarz, 2012. "How and Why 1 Year Differs from 365 Days: A Conversational Logic Analysis of Inferences from the Granularity of Quantitative Expressions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 39(2), pages 248-259.
    4. Maarten C.J. van Rooij & Annamaria Lusardi & Rob J.M. Alessie, 2012. "Financial Literacy, Retirement Planning and Household Wealth," Economic Journal, Royal Economic Society, vol. 122(560), pages 449-478, May.
    5. Rajesh Bagchi & Xingbo Li, 2011. "Illusionary Progress in Loyalty Programs: Magnitudes, Reward Distances, and Step-Size Ambiguity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(5), pages 888-901.
    6. Annamaria Lusardi & Olivia Mitchell, 2006. "Financial Literacy and Retirement Preparedness: Evidence and Implications for Financial Education Programs," Working Papers wp144, University of Michigan, Michigan Retirement Research Center.
    7. Keith S. Coulter & Robin A. Coulter, 2010. "Small Sounds, Big Deals: Phonetic Symbolism Effects in Pricing," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(2), pages 315-328, August.
    8. Mario Pandelaere & Barbara Briers & Christophe Lembregts, 2011. "How to Make a 29% Increase Look Bigger: The Unit Effect in Option Comparisons," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 38(2), pages 308-322.
    9. Haipeng (Allan) Chen & Akshay R. Rao, 2007. "When Two Plus Two Is Not Equal to Four: Errors in Processing Multiple Percentage Changes," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(3), pages 327-340, June.
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    Cited by:

    1. Park, Yookyung & Yi, Youjae, 2023. "Morning deals make me feel smart: Consumer evaluations of online sales promotions differ by time of day," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).

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