![]() ![]() What Makes a Successful Study Approach?. ![]() Here we look at the challenges of 2D planogram research, and why 3D digital twin technology helps solve these common problems. 3D shopping exercises get results predictive of in-market results, even when using only one planogram, despite the retail execution problems and variety of planograms used in the real world. But a well-designed study would account for the major differences in principles that are applied to categories to get the best outcome.Īn approach that consistently tests with 90% or greater accuracy when compared with in-market results would achieve that goal. Therefore, it’s not possible to capture all the possible configurations of each iteration of the retail merchandising tool. The ways planograms are laid out vary from retailer to retailer, and within each retailer. While they may think the issue lies with the POG (planogram) itself, it’s actually the test shopper experience that is the underlying problem, not the planogram chosen. The problem is that many shopper insights and category management teams are still relying on static 2D planogram tests with attitudinal measures of intent- to-buy. What makes planogram research successful? Brands and retailers are looking for reliable, projectible data to give credence to their decisions when it comes to shelf and package testing. ![]()
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