{"title":"Getting the most for a penny: How retailers can best use left-digit effects","authors":"Gustavo Schneider , Taehoon Park , Abhijit Guha","doi":"10.1016/j.jretai.2025.02.002","DOIUrl":null,"url":null,"abstract":"<div><div>When designing price promotions, many retailers employ left-digit effects (i.e., when the price is reduced, it changes the leftmost digit of the price). While left-digit effects can influence consumer evaluations, there is little work that examines for which (i) segments of consumers, or (ii) types of managerially relevant display elements are left-digit changes more effective. This paper builds from the insight that the left-digit effect is a heuristic and then—building from work on heuristics—uses multiple studies to examine individual differences and contextual factors that can enhance the effectiveness of price promotions involving left-digit changes. This paper examines an important substantive domain—price promotions—and proposes contributions to both theory and practice by showing that left-digit effects are stronger (i) for consumer segments that rely more on their feelings when making decisions, (ii) when the retail signage induces arousal, and (iii) when retail signage does not indicate the actual percentage discount. Put another way, noting that left-digit effects can be triggered by merely changing prices by a penny or so, this paper outlines how retailers can “get the most for that penny.”</div></div>","PeriodicalId":48402,"journal":{"name":"Journal of Retailing","volume":"101 2","pages":"Pages 217-226"},"PeriodicalIF":10.2000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Retailing","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022435925000089","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
When designing price promotions, many retailers employ left-digit effects (i.e., when the price is reduced, it changes the leftmost digit of the price). While left-digit effects can influence consumer evaluations, there is little work that examines for which (i) segments of consumers, or (ii) types of managerially relevant display elements are left-digit changes more effective. This paper builds from the insight that the left-digit effect is a heuristic and then—building from work on heuristics—uses multiple studies to examine individual differences and contextual factors that can enhance the effectiveness of price promotions involving left-digit changes. This paper examines an important substantive domain—price promotions—and proposes contributions to both theory and practice by showing that left-digit effects are stronger (i) for consumer segments that rely more on their feelings when making decisions, (ii) when the retail signage induces arousal, and (iii) when retail signage does not indicate the actual percentage discount. Put another way, noting that left-digit effects can be triggered by merely changing prices by a penny or so, this paper outlines how retailers can “get the most for that penny.”
期刊介绍:
The focus of The Journal of Retailing is to advance knowledge and its practical application in the field of retailing. This includes various aspects such as retail management, evolution, and current theories. The journal covers both products and services in retail, supply chains and distribution channels that serve retailers, relationships between retailers and supply chain members, and direct marketing as well as emerging electronic markets for households. Articles published in the journal may take an economic or behavioral approach, but all are based on rigorous analysis and a deep understanding of relevant theories and existing literature. Empirical research follows the scientific method, employing modern sampling procedures and statistical analysis.