Accelerating structured consumer‐driven package design

Abstract

PurposeThis paper seeks to explore approaches to consumer‐driven optimization of package design utilizing a novel modified conjoint analysis approach. The approach allows for dynamic creation and testing of a large number of design prototypes with consumers and finds optimal solutions on an aggregated, segmented (pattern‐based latent mindset segmentation) and individual basis.Design/methodology/approachThe approach extends the consumer insights‐driven process, Rule Developing Experimentation (RDE), introduced by the authors (AG and HM) and developed in cooperation with Wharton School of Business (University of Pennsylvania), to graphical concepts.FindingsDisciplined experimentation based on individual permuted experimental designs produces more targeted package designs with higher appeal to the consumers. The proposed steps describe fast, parsimonious and actionable process of application of RDE to package optimization, which provides valuable input for designers about consumer preferences.Practical implicationsThe paper demonstrates that consumer research could and should be a central part not only at the final stages of the package design but at the initial stage as well. The steps of fitting the research into the package design process are shown providing a parsimonious way to include consumers in the early stages of package design.Originality/valueThe approach could help the marketers efficiently create better packages that consumers like and which will help marketers to differentiate their respective products from the competition.