Keen Decision Systems has been named as a Niche Player in the 2024 Gartner® Magic Quadrant™ for Marketing Mix Modeling Solutions Report

Keen in the News
Release Date
November 20, 2024

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The company’s AI-driven adaptive SaaS marketing mix modeling solution helps brands optimize their budgets and marketing plans by evolving over time, ensuring accuracy and effectiveness.

CARY, N.C.–(BUSINESS WIRE)–Keen Decision Systems (Keen), a next-generation marketing mix SaaS company, today announced its recognition in the Gartner Magic Quadrant for Marketing Mix Modeling Solutions.

Unlike traditional consulting-heavy models, Keen leads with software to ensure faster access to insights while maintaining consulting-level support. This approach equips marketers to optimize their entire budget, consider short- and long-term marketing impacts, and foster cross-functional collaboration. With a focus on self-service and minimal onboarding complexity, Keen matches the capabilities of leading consulting firms, ensuring users can independently drive decisions while benefiting from robust support structures.

“We believe the future of marketing mix modeling is software-led, and our product offerings reflect that,” said Greg Dolan, CEO of Keen Decision Systems. “While the rest of the market continues to invest in service-first offerings, we’re following a path that will help us succeed long-term. By delivering actionable insights to our clients through a SaaS-first approach to MMM, we’re standing out from our competitors and giving them the transparency that they’ve long desired. Our innovative tools, including the patent-pending Marketing Elasticity Engine and QuickStart capability, enable users to quickly see value—even with limited data—and facilitate scenario planning that is both efficient and intuitive. We believe this recognition positions us positively in the market and we look forward to continuing to provide marketers with the tools they need to thrive in today’s constantly changing environment.”

Keen also provides business scenario planning capability, which is driven by its comprehensive workflows and capability for plan building and comparison, as well as in enterprise mix modeling, reflecting the company’s ability to build comprehensive model and plan comparisons, configure models with Bayesian priors and interpret halo and interaction effects through detailed dashboard workflows.

The company also offers a free 14-day trial to help marketers guide their future decisions, optimize their budgets and link their investments to the company’s performance. Trial users have immediate access to the full suite of Keen’s marketing mix capabilities— including Keen’s AI-powered insights and industry benchmarks.

To learn more about Keen, please visit keends.com.

Gartner, Magic Quadrant for Marketing Mix Modeling Solutions, Matt Wakeman, David Walters, Joseph Enever, Weicong Zhao, 19 November 2024

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About Keen Decision Systems

Keen Decision Systems is a high-growth SaaS company that helps enterprise and mid-cap organizations, agencies and other marketing leaders forecast, optimize, and analyze their marketing investments. Trusted by leading brands, Keen manages over $7.5 billion in marketing spend, helping brands like Poppi and Athletic Brewing, navigate today’s dynamic market.

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Caroline Yodice
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