The default effect, a concept within the study of nudge theory, explains the tendency for an agent to generally accept the default option in a strategic interaction. The default option is the course of action that the agent, or chooser, will obtain if he or she does not specify a particular course of action. The default effect has broad applications for firms attempting to 'nudge' their customers in the direction of the firm's optimal outcome. Experiments and observational studies show that making an option a default increases the likelihood that such an option is chosen. There are two broad classes of defaults: mass defaults and personalised defaults. Setting or changing defaults has been proposed and applied by firms as an effective way of influencing behaviour—for example, with respect to setting air-conditioner temperature settings, giving consent to receive e-mail marketing, or automatic subscription renewals.
Endogenous default effectsEdit
In a choice context, a default refers to that option which choosers end up with if they do not make an active choice. This notion is similar to the one in computer science where defaults are settings or values that are automatically assigned outside of user intervention. Setting the default affects how likely people end up with an option. This is called the default effect. More precisely, it refers to changes in the probability that an agent chooses a particular option when it is set as a default as opposed to the situation where this option has not been set as default. For example, different countries have different rules on how to become an organ donor. In countries with the opt-in policy, all citizens are automatically considered as non-donors unless they actively register as donors. In countries with the opt-out policy, all citizens are automatically considered as donors unless they actively seek to be struck from the register. It has been argued that this difference in policy is the main cause of the significant difference in donor rates across the respective countries.
Exogenous default effectsEdit
Some default effects are implied by the situation. In social settings, for example, the normative choice (what others are doing) may be adopted unconsciously as a social default effect. People are thus more likely to choose what they observe other choosing, even if they do not believe that the other person is the more knowledgeable person. People are also more likely to treat choices that require less justification as defaults. The default option for parole hearings, for example, is to deny prisoners parole.
Types of default optionsEdit
|Mass defaults||Personalised defaults|
|Benign defaults||Smart defaults|
|Random defaults||Persistent defaults|
|Hidden options||Adaptive defaults|
Mass defaults are those which apply to all consumers of a product or service, that do not take into account each individual consumers preferences or characteristics. Mass defaults are useful when a firm cannot, or does not want to, invest time and financial means into allocating separate default options to each customer based on their individual profile and preferences. By their nature, mass defaults may fail to give some customers their first choice; however, in general, a mass default strategy can be useful to a firm if the majority of customers choose the default option.
Representing a company's 'best guess' about what customers want and therefore, what to set as the default option.
This is where defaults are arbitrarily assigned to customers. This strategy occurs when a firm lacks understanding of the majority preferences, and none of the options would cause harm to the firm.
Firms can present the default as the only choice, when in fact, there are other 'hidden' options available. An example of this is the default ringtone on a phone; some consumers may be oblivious to the fact that there is a plethora of other ringtones available other than the system-default.
Smart defaults use individual customer information such as demographics and other profiles, to personalise a default option that maximised utility for both the firm and the consumer.
Persistent defaults are generated by using data from individual consumers' past purchases and preferences to allocate a personalised default option to each customer. The notion behind the persistent default is that a customer's future choice is best predicted by viewing their past preferences.
By constantly updating the profile of each customer based on live, real-time decisions which the individual makes. This is the best way to target each customer individually when there is a lack of data based on the customers' past preferences and demographic.
A number of different explanations have been offered for how default setting causes a change in the choice distribution.
If an agent is indifferent or conflicted between options, it may involve too much cognitive effort to base a choice on explicit evaluations. In that case, he or she might disregard the evaluations and choose according to the default heuristic instead, which simply states “if there is a default, do nothing about it”. Evidence supporting this cognitive effort account is provided in the realm of social default effects. Participants distracted by a demanding concurrent task were more likely to choose the one of two snacks that they saw a previous participant choose. Increasing the number of snacks received as a function of the choice decreased this social default effect.
If an agent faces costs when diverging from a default that surmount the possible benefits from switching to another option, then it is rational to stick with the default option. Costs of diverging from the default might involve costs for the search of information (time, consultancy fees) and/or costs for registering the choice (time, postage, lawyer fees). This amounts to a standard transaction cost explanation from rational choice theory.
If an agent evaluates options on multiple dimensions, then the default functions as a reference point from which some dimensions are interpreted as losses and therefore becomes more important for the choice. This loss aversion explanation of the default effect can be illustrated with the following example. Let A, B and C be three different pension saving plans. The agent evaluates them (in terms of time-discounted utilities) on the two following dimensions, current consumption and future savings which obviously trade off: the more one saves for the future, the less one can consume in the present.
Seen from plan A being the default, plans B and C constitute losses in the savings dimension. Seen from plan C being the default, however, plans A and B constitute losses in the consumption dimension. According to the theory of loss aversion, that dimension which is considered a loss influences the decision stronger than that which is considered a gain. Hence for either default A or C, the loss-averse agent would choose sticking with the default.
If an agent interprets the default as a signal from the policy maker, whom he or she sufficiently trusts, he or she might rationally decide to stick with this default. That the policy maker sets a default is interpreted as an implicit recommendation to choose that default option. The information taken from this recommendation might be sufficient to change some people's preferences.
Change of meaningEdit
Defaults also might affect the meaning of choice options and thus agents' choices over them. For example, it has been shown that under an opt-in policy in organ donation choosing not to become an organ donor is perceived as a choice of little moral failing. Under an opt-out policy, in contrast, choosing not to be an organ donor is perceived as morally more deficient. Alternatively, families may perceive those choosing to be an organ donor under an opt-out system as less committed than those in an opt-in system, and so refuse to allow their relatives organs to be harvested  These differences in evaluation might affect the rational choice over these options.
Default setting as a policy instrumentEdit
Setting or changing defaults has been proposed as an effective way of influencing behaviour—for example, with respect to deciding whether to become an organ donor, giving consent to receive e-mail marketing, choosing car insurance plans, choosing which food to eat, selecting which car options to purchase, choosing between different energy providers, or choosing the level of one's retirement contributions. Setting defaults are an important example of nudges or soft paternalist policies.
- "Aspects of Smart Decision-Making". Handbook of Behavioural Economics and Smart Decision-Making: 155–156. 2017. doi:10.4337/9781782549598. ISBN 9781782549598.
- Herrmann, Andreas; Goldstein, Daniel G.; Stadler, Rupert; Landwehr, Jan R.; Heitmann, Mark; Hofstetter, Reto; Huber, Frank (2011-11-01). "The effect of default options on choice—Evidence from online product configurators". Journal of Retailing and Consumer Services. 18 (6): 483–491. doi:10.1016/j.jretconser.2011.06.005. ISSN 0969-6989.
- "Do you need a nudge?". Yale Insights. Retrieved 2021-04-22.
- "Nudge Your Customers Toward Better Choices". Harvard Business Review. 2008-12-01. ISSN 0017-8012. Retrieved 2021-04-22.
- Johnson, E. J.; Goldstein, D. (2003). "MEDICINE: Do Defaults Save Lives?". Science. 302 (5649): 1338–1339. doi:10.1126/science.1091721. PMID 14631022. S2CID 166476782.
- Huh, Young Eun; Vosgerau, Joachim; Morewedge, Carey K. (2014-10-01). "Social Defaults: Observed Choices Become Choice Defaults". Journal of Consumer Research. 41 (3): 746–760. doi:10.1086/677315. ISSN 0093-5301.
- Danziger, Shai; Levav, Jonathan; Avnaim-Pesso, Liora (2011-04-26). "Extraneous factors in judicial decisions". Proceedings of the National Academy of Sciences. 108 (17): 6889–6892. Bibcode:2011PNAS..108.6889D. doi:10.1073/pnas.1018033108. ISSN 0027-8424. PMC 3084045. PMID 21482790.
- "Nudge Your Customers Toward Better Choices". Harvard Business Review. 2008-12-01. ISSN 0017-8012. Retrieved 2021-04-22.
- Clinehens, Jennifer (2021-03-09). "How the power of defaults can transform your customer experience". Medium. Retrieved 2021-04-22.
- Gigerenzer, G. (2008). "Why Heuristics Work". Perspectives on Psychological Science. 3 (1): 20–281. doi:10.1111/j.1745-6916.2008.00058.x. PMID 26158666. S2CID 8947622.
- Tversky, A.; Kahneman, D. (1991). "Loss Aversion in Riskless Choice: A Reference-Dependent Model". The Quarterly Journal of Economics. 106 (4): 1039. CiteSeerX 10.1.1.703.2614. doi:10.2307/2937956. JSTOR 2937956.
- McKenzie, C. R. M.; Liersch, M. J.; Finkelstein, S. R. (2006). "Recommendations Implicit in Policy Defaults". Psychological Science. 17 (5): 414–420. doi:10.1111/j.1467-9280.2006.01721.x. PMID 16683929. S2CID 6815992.
- Davidai, S.; Gilovich, T.; Ross, L. D. (2012). "The meaning of default options for potential organ donors". Proceedings of the National Academy of Sciences. 109 (38): 15201–5. Bibcode:2012PNAS..10915201D. doi:10.1073/pnas.1211695109. PMC 3458339. PMID 22949639.
- Lin, Y.; Osman, M.; Harris, A.; Read, D. (2018). "Underlying wishes and nudged choices" (PDF). Journal of Experimental Psychology: Applied. 24 (4): 459–575. doi:10.1037/xap0000183. PMID 30113195. S2CID 52009621.
- Johnson, E. J.; Bellman, S.; Lohse, G. L. (2002). "Defaults, Framing and Privacy: Why Opting In-Opting Out". Marketing Letters. 13: 5–15. doi:10.1023/A:1015044207315. S2CID 11296118.
- Johnson, E. J.; Hershey, J.; Meszaros, J.; Kunreuther, H. (1993). "Framing, probability distortions, and insurance decisions". Journal of Risk and Uncertainty. 7: 35–51. doi:10.1007/BF01065313. S2CID 154911666.
- Park, C. W.; Jun, S. Y.; MacInnis, D. J. (2000). "Choosing What I Want Versus Rejecting What I Do Not Want: An Application of Decision Framing to Product Option Choice Decisions". Journal of Marketing Research. 37 (2): 187. doi:10.1509/jmkr.126.96.36.19931. S2CID 18705398.
- Pichert, D.; Katsikopoulos, K. V. (2008). "Green defaults: Information presentation and pro-environmental behaviour". Journal of Environmental Psychology. 28: 63–73. doi:10.1016/j.jenvp.2007.09.004.
- Beshears, J.; Choi, J. J.; Laibson, D.; Madrian, B. C. (2009). "The Importance of Default Options for Retirement Saving Outcomes". Social Security Policy in a Changing Environment. p. 167. doi:10.7208/chicago/9780226076508.003.0006. ISBN 978-0-226-07648-5. S2CID 168537180.