CEO and Founder
Dr. Kurt Jetta founded TABS Group in 1998 with the mission of delivering analytical innovations that simplify and improve the way business analysis is conducted in the consumer products industry. This vision continues to build traction in the industry as the company has grown revenue by 20% per year since its inception. Some of his noteworthy contributions to the industry are his invention of new performance measures such as Sales Productivity, Organic Growth, Innovation Indices, Buyer Conversion Efficiency and Category Space Elasticity. He is also the inventor of TABS Group software such as QuickTABS®, TABS AisleMaster™, TABS RetailWorks™, TABS PromoMaster®, TABS PanelMaster™, and TABS WorldView™. TABS WorldView is the latest TABS Group innovation that is the first service to provide a fully integrated and harmonized view of all syndicated data sources around the globe at the item level.
Dr. Jetta has become one of the most recognizable experts in the Consumer Goods industry. He is a frequent contributor of articles in Supermarket News, Progressive Grocer, Chain Drug Review, Drug Store News and MMR. He has made appearances on and been quoted in national media outlets such as CNBC, The Today Show, The New York Post and Forbes. He is the author of the annual Organic Product Purchasing Study as well as the Annual Vitamin Study. Prior to starting TABS Group, Kurt was Chief Executive Officer of Binky-Griptight, a supplier of baby feeding products. In that position, he grew revenue by 75%, cut losses by 50% and was able to manage the sale of the company to his old employer, Playtex, where he served as Director of Trade Marketing.
While building his analytics firm, Dr. Jetta completed his Ph.D. in Economics in 2008 where he specialized in Consumer Demand Theory. The title of his doctoral thesis is A Theory of Retailer Price Promotion Using Economic Foundations: It’s All Incremental. This new theory is poised to revolutionize both marketing theory and applications in both the academic and business world. As part of his dissertation, he developed an alternative to the current industry baseline models. The new model was proven to greatly improve forecasting accuracy, be extendable to all distribution channels with scanner data and all at a significantly lower cost than current industry offerings. An update to this model was published in the Journal of Centrum Cathedra in 2010 titled A Model to Improve the Estimation of Baseline Retail Sales.