Jeff Gadawski
Jeff is a seasoned Chief Revenue Officer at Impact Analytics, specializing in Retail, CPG, and Supply Chain-focused AI SaaS solutions. He has leveraged over 30 years of global sales and marketing expertise to oversee products for planning, forecasting, and merchandising. His strategic vision empowers retailers to make data-driven decisions, transforming their businesses.
Prior to Impact Analytics, Jeff served as Vice President of NA Retail at JDA Software, enhancing retail operations through technology solutions. At Shoutlet, he expanded a cloud-based social relationship platform, empowering brands through social marketing. As Managing Partner at The Meriwether Group, he identified opportunities and delivered results for startups and established brands, securing capital investment and accelerating performance.
Jeff was a Key Account Director at Adidas in the sports and apparel industry, managing key relationships and driving strategic initiatives. Jeff also ran the NA soccer business while at Adidas. In 2023, ZoomInfo named Jeff one of the “100 Most Influential Sales Professionals in the U.S.,” recognizing his significant contributions to sales and marketing.
Jeff’s career demonstrates his dedication to leveraging technology to solve business challenges. His expertise spans retail and customer analytics, digital media, location-based services, e-commerce, retail partnerships, and SaaS businesses. His strategic insight and leadership have consistently delivered value across Fortune 500-1000 businesses globally.
Jeff Gadawski
Trusted by Leading Companies
In our clients’ own words
“Our partnership with Impact Analytics and the AI tools that we have at our disposal now really make possible the kind of leapfrogging of capabilities that we want.”
“We landed on Impact Analytics for 3 core reasons: culture, technology, and an intuitive interface that was easy to adopt.”
“We look forward to arming our internal teams with better, more efficient ways to process data, like MondaySmart. They can now synthesize what would have taken hours of meetings and shuffling through lots of financial reports into a succinct AI-powered dashboard and so much more in terms of inventory management and merchandising assortment.”
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