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Social selling cues: The dynamics of posting numbers viewed and bought on customers' purchase intentions
Institution:1. Indian Institute of Management Bangalore, Bannerghatta Road, Bangalore 560076, India;2. Bond University, Gold Coast, Australia;3. Haskayne School of Business, University of Calgary, Calgary, Alberta T2N 1N4, Canada;1. The University of Melbourne, 198 Berkeley Street, Melbourne, 3010 Victoria, Australia;2. The Pennsylvania State University, Smeal College of Business, 435 Business Building, University Park, PA 16802, United States;1. School of Business, Pacific Lutheran University, 12180 Park Avenue S., Tacoma, WA 98447-0003, USA;2. College of Business, California State University Long Beach, 1250 Bellflower Blvd, Long Beach, CA 90840, USA;3. Michael G. Foster School of Business, University of Washington, Box 353200, Seattle, WA 98105-3200, USA;1. W. P. Carey School of Business, Arizona State University, United States;2. Smeal College of Business, Pennsylvania State University, United States;3. Division of Statistics and Data Science, Department of Mathematical Sciences, University of Cincinnati, United States;4. Rutgers Business School, Rutgers University, USA;1. Kelley School of Business, Indiana University, Bloomington, IN 47405, United States;2. School of Business, Jiangsu Normal University, Xuzhou 221009, China;1. Coles College of Business, Kennesaw State University, United States;2. Smeal College of Business, The Pennsylvania State University, United States
Abstract:Online retailers provide social selling cues, such as “39 customers bought this product” or “156 customers viewed our product per hour”, to encourage sales. Revealing the numbers bought has been shown to increase purchase intentions, but what remains unexplored are the ramifications of posting the number of brand-related views or revealing both numbers bought and viewed so customers can determine the views-to-bought ratio. The number of views is much higher than the numbers bought, which customers may anchor on as a signal for product quality; however, a countervailing force is that views are a more ambiguous, hence a less diagnostic, cue. Five experiments revealed that: (1) showing the number of views or bought can, but does not always, increase purchase intentions; (2) revealing the number bought has a monotonically increasing (at diminishing rate) effect on purchase intentions; and (3) views exhibit a concave curvilinear effect in that, beyond a tipping point, increasing the number of views lowers purchase intentions. Given the anchoring effect of the larger views number, if the number of views or the number bought are relatively low, it is better to show the larger views number, but the reverse is true if the respective numbers are both high. Additional insights reveal that it is only advantageous to reveal both numbers if the views-to-bought ratio is lower than 20:1, which would apply to about the top 25% of brand landing pages. These findings were further validated in a choice experiment. Perceptions of product quality mediate the relationship between these social selling cues and purchase intentions; however, this is not the case for perceived skepticism (lack of trust in the information). Revealing these social selling cues is an online retailer’s prerogative; hence, these insights are theoretically interesting and have practical relevance.
Keywords:Social cues  Numerosity  Perceived quality  Skepticism  Purchase intentions
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