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How influenced are consumers by price and marketing? If something costs more, do our expectations lead us to believe it is better? Because expectations play such a large role in reality, can a product that costs more (but is in reality identical) actually be more effective? Baba Shiv, a neuroeconomist at Stanford, conducted a study \(^{25}\) involving 204 undergraduates. In the study, all students consumed a popular energy drink which claims on its packaging to increase mental acuity. The students were then asked to solve a series of puzzles. The students were charged either regular price ( \(\$ 1.89\) ) for the drink or a discount price \((\$ 0.89)\). The students receiving the discount price were told that they were able to buy the drink at a discount since the drinks had been purchased in bulk. The authors of the study describe the results: "the number of puzzles solved was lower in the reduced-price condition \((M=4.2)\) than in the regular-price condition \((M=5.8) \ldots p<.0001 . "\) (a) What can you conclude from the study? How strong is the evidence for the conclusion? (b) These results have been replicated in many similar studies. As Jonah Lehrer tells us: "According to Shiv, a kind of placebo effect is at work. Since we expect cheaper goods to be less effective, they generally are less effective, even if they are identical to more expensive products. This is why brand-name aspirin works better than generic aspirin and why Coke tastes better than cheaper colas, even if most consumers can't tell the difference in blind taste tests."26 Discuss the implications of this research in marketing and pricing.

Short Answer

Expert verified
The study shows that the price of a product can indeed affect user expectations and perceived outcomes, which is backed by strong statistical evidence. The results of these types of studies have implications for marketing and pricing strategies, suggesting a focus on building perceptions of quality and value.

Step by step solution

01

Interpret the Study Findings

The study found that students who had paid the regular price for the energy drink seemed to perform better on the puzzles than those who had received a discount. This is indicated by the means (the average number of puzzles solved) for each group: the regular-price group solved more puzzles on average (5.8) compared to the discount-price group (4.2). The p-value of this comparison was less than 0.0001, which indicates that this result is statistically significant and not simply a result of random chance.
02

Evaluate the Strength of the Evidence

The evidence from this study is strong. This is indicated by the extremely small p-value (<.0001), which suggests that there is less than a 0.01% chance that the difference in results could have occurred due to random variation, rather than a real effect. This provides strong evidence that price may indeed affect consumer expectations and, consequently, their perceived outcome.
03

Discuss Implications in Marketing and Pricing

Based on this research, it could be inferred that higher prices build greater expectations and perceived value in consumers, making them believe that they're getting a better product, which in turn can actually enhance their experience of using it. This could influence strategies for pricing and advertising. It reinforces the concept that value isn't solely derived from the physical product and its cost of production, but instead is also significantly influenced by consumer perceptions. This suggests that marketers could focus on building perceptions of quality and value to justify higher price points, rather than competing primarily on price.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Placebo Effect in Marketing
The placebo effect, widely recognized within the medical field, extends its influence into the realm of marketing as well. This psychological phenomenon occurs when an individual's expectations about a product lead to perceived improvements in performance or effectiveness, despite no inherent superiority in the product itself. For example, if consumers believe that a higher-priced energy drink will enhance their concentration because they associate cost with quality, they may indeed experience increased mental focus after consumption. This is not due to the drink's physical properties but stems from their beliefs and expectations.

This understanding is crucial for marketers, as it can guide strategies for product positioning and pricing. By capitalizing on the placebo effect, brands might justify higher price points with targeted communication highlighting the product's premium aspects and potential benefits, even when the ingredients or materials are similar to less expensive alternatives. Notably, an awareness of the ethical considerations is also vital, ensuring that marketers do not exploit consumer trust.
Statistical Significance in Consumer Behavior Studies
In assessing consumer behavior studies, the notion of statistical significance is a cornerstone for discerning whether observed differences are likely due to the variables tested or merely by chance. For instance, with a p-value less than 0.0001, as in the aforementioned energy drink study, we have compelling evidence to suggest that the price paid by consumers genuinely affects their experience and not due to random occurrence.

Statistical significance provides a benchmark to evaluate the reliability of study findings. In marketing research, such rigorous scrutiny allows companies to make informed decisions based on data rather than assumptions. This notion reinforces the importance of well-designed experiments and the use of appropriate statistical analyses in understanding consumer perceptions and behaviors.
Price Influence on Product Effectiveness
Price can be a potent cue that influences a consumer's perception of a product's effectiveness. The relationship between price and perceived quality is one that is deeply ingrained in consumer psychology. When a product is more expensive, consumers often infer superior quality and effectiveness, as was seen in the case of the energy drink study where participants who paid more solved more puzzles.

By understanding this relationship, businesses can consider their pricing strategy as a tool to convey the value of their product. This does not suggest that businesses should manipulate pricing unethically, but rather, recognize the role of price in shaping consumer expectations and experiences. It also emphasizes the need for companies to ensure that they deliver genuine value that aligns with the product’s price point to maintain consumer trust and satisfaction.
Consumer Expectations and Perceived Value
Consumer expectations are the anticipations or beliefs about a product's benefits and performance before its consumption. These expectations affect the perceived value, which is the consumer's overall assessment of the utility of a product based on what is received versus what is given. Perceived value is not just a function of the actual product but also the image and reputation built through marketing efforts.

The interconnection between price, expectation, and perceived value is evident in the way consumers may rate a product more favorably if it meets or exceeds the value they anticipated, which is sometimes tied to the price paid. Through adept marketing, a brand can enhance these expectations, which in turn can heighten perceived value and lead to better consumer experiences and satisfaction. Addressing this psychological component can be as vital as the actual product development in crafting a brand’s value proposition.

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Most popular questions from this chapter

Influencing Voters: Is a Phone Call More Effective? Suppose, as in Exercise \(4.38,\) that we wish to compare methods of influencing voters to support a particular candidate, but in this case we are specifically interested in testing whether a phone call is more effective than a flyer. Suppose also that our random sample consists of only 200 voters, with 100 chosen at random to get the flyer and the rest getting a phone call. (a) State the null and alternative hypotheses in this situation. (b) Display in a two-way table possible sample results that would offer clear evidence that the phone call is more effective. (c) Display in a two-way table possible sample results that offer no evidence at all that the phone call is more effective. (d) Display in a two-way table possible sample results for which the outcome is not clear: there is some evidence in the sample that the phone call is more effective but it is possibly only due to random chance and likely not strong enough to generalize to the population.

Do iPads Help Kindergartners Learn: A Series of Tests Exercise 4.147 introduces a study in which half of the kindergarten classes in a school district are randomly assigned to receive iPads. We learn that the results are significant at the \(5 \%\) level (the mean for the iPad group is significantly higher than for the control group) for the results on the HRSIW subtest. In fact, the HRSIW subtest was one of 10 subtests and the results were not significant for the other 9 tests. Explain, using the problem of multiple tests, why we might want to hesitate before we run out to buy iPads for all kindergartners based on the results of this study.

For each situation described, indicate whether it makes more sense to use a relatively large significance level (such as \(\alpha=0.10\) ) or a relatively small significance level (such as \(\alpha=0.01\) ). A pharmaceutical company is testing to see whether its new drug is significantly better than the existing drug on the market. It is more expensive than the existing drug. Which significance level would the company prefer? Which significance level would the consumer prefer?

Scientists studying lion attacks on humans in Tanzania \(^{32}\) found that 95 lion attacks happened between \(6 \mathrm{pm}\) and \(10 \mathrm{pm}\) within either five days before a full moon or five days after a full moon. Of these, 71 happened during the five days after the full moon while the other 24 happened during the five days before the full moon. Does this sample of lion attacks provide evidence that attacks are more likely after a full moon? In other words, is there evidence that attacks are not equally split between the two five-day periods? Use StatKey or other technology to find the p-value, and be sure to show all details of the test. (Note that this is a test for a single proportion since the data come from one sample.)

Utilizing the census of a community, which includes information about all residents of the community, to determine if there is evidence for the claim that the percentage of people in the community living in a mobile home is greater than \(10 \%\).

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