The Effect of Graphic Warnings on Sugary-Drink Purchasing

Grant  Donnelly; Laura Y.  Zatz; Daniel  Svirsky; Leslie  John

Article | Psychological Science | August 2018

The Effect of Graphic Warnings on Sugary-Drink Purchasing

by Grant Donnelly, Laura Y. Zatz, Daniel Svirsky and Leslie John

Abstract

Governments have proposed text warning labels to decrease consumption of sugary drinks – a contributor to chronic diseases like diabetes. However, they may be less effective than more evocative, graphic warning labels. We field-tested the effectiveness of graphic warning labels (vs. text warning labels, calorie labels, and no labels), provided insight into psychological mechanisms driving effectiveness, and assessed consumer sentiment. Study 1 indicated that graphic warning labels reduced the share of sugary drinks purchased in a cafeteria, from 21.4% at baseline to 18.2%—an effect driven by substitution of water for sugary drinks. Study 2 showed that graphic warning labels work by heightening negative affect and prompting consideration of health consequences. Study 3 indicated that public support for graphic warning labels can be increased by conveying effectiveness information. These findings could spur more effective labeling policies that: facilitate healthier choices, do not decrease overall beverage purchases, and are publicly accepted.

Keywords: decision making; food; health; Policy Making; preferences; Health; Information; Labels; Consumer Behavior; Performance Effectiveness;

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Citation:

Donnelly, Grant, Laura Y. Zatz, Daniel Svirsky, and Leslie John. "The Effect of Graphic Warnings on Sugary-Drink Purchasing." Psychological Science 29, no. 8 (August 2018): 1321–1333.

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The case describes a program that CVS Health recently implemented to improve medication adherence, an important problem from a societal, public policy, and firm perspective. A test of the program, costing hundreds of thousands of dollars to implement, increased the proportion of adherent customers by 1.4 percentage points. Students are asked to quantify the system-wide economic benefit of this improvement and draw upon insights from behavioral science to examine approaches for boosting medication adherence.

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By the time Dan Doctoroff, CEO of Sidewalk Labs, began hosting a Reddit “Ask Me Anything” session in January 2018, he had only nine months remaining to convince the people of Toronto, their government representatives, and presumably his parent company Alphabet, Inc., that Sidewalk Labs’ plan to construct “the first truly 21st-century city” on the Canadian city’s waterfront was a sound one. Along with much excitement and optimism, strains of concern had emerged since Doctoroff and partners first announced their intentions for a city “built from the internet up” in Toronto’s Quayside district. As Doctoroff prepared for yet another milestone in a year of planning and community engagement, it was almost certain that of the many questions headed his way, digital privacy would be among them.

In their commentary, Wilson & Stolarz-Fantino argue that specific design features of our research mean that it cannot have policy implications and that researchers “need to consider profit maximization in menu design or studies are likely to suggest ill-informed implementations.” In this reply, we respond to the specific critiques of our work with empirical data and conceptual arguments. We agree with Wilson and Stolarz-Fantino that researchers seeking to understand a policy’s influence on consumers should test predictions about which strategies firms will likely use when implementing a policy. Research, however, that demonstrates the effectiveness (or lack thereof) of an intervention even without perfectly predicting a firm’s response still has enormous value for setting policy.

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The Effect of Graphic Warnings on Sugary-Drink Purchasing

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