Conversion Logic

High-Level Overview

Conversion Logic is a Los Angeles-based SaaS company specializing in cross-channel attribution, measurement, and analytics for enterprise marketers.[1][2][3] It builds the XC Logic platform, powered by an award-winning machine learning framework called "Ensemble," which delivers real-time predictive insights to optimize multi-channel media campaigns, serving large consumer brands like GM, Microsoft, SoFi, HelloFresh, and ADT with reported efficiency gains exceeding 50% ROI.[1][2][3] The platform targets CMOs, brand leads, and media practitioners managing global campaigns across digital, video, and other channels, solving the problem of inaccurate attribution in fragmented media environments by providing media-agnostic, actionable data independent of any media entity influence.[1][3]

With 11-50 employees and approximately $5.2 million in revenue, Conversion Logic has demonstrated growth through investor backing from firms like VideoAmp, Crosscut Ventures, Founder Collective, Lerer Hippeau, Rincon Venture Partners, TenOneTen, and Raptor Ventures, positioning it as a leader in cloud-based enterprise marketing analytics within advertising, retail, AI, media, and data sectors.[2][3][4]

Origin Story

Founded in 2014 in Los Angeles, California, Conversion Logic was established by a team of attribution veterans, including co-founder and CEO Brian Baumgart, who serves as Executive Chairman, and COO Alison Lohse, a strategic operator focused on product, marketing, client delivery, and operations.[2][3] The idea emerged from the need for intuitive, real-time cross-channel measurement tools in a media landscape increasingly fragmented by digital and video channels, leading to the development of their SaaS platform from the ground up.[1][3]

Early traction came through recognition by analysts like Forrester and Gartner, trust from major brands, and funding from prominent early-stage VCs, enabling the company to scale its machine learning-driven "Ensemble" framework for enterprise use.[1][2]

Core Differentiators

• Machine Learning-Powered Accuracy: The XC Logic platform uses an award-winning "Ensemble" data science framework for precise cross-channel attribution, delivering real-time predictive insights that outperform traditional methods, with clients seeing over 50% efficiency gains.[1][2]
• Media-Agnostic Independence: Untethered from media entities, it provides unbiased, actionable data across all channels, enabling rapid adaptation to changing environments for global campaigns.[3]
• Intuitive Design for Practitioners: Built for CMOs and media teams, it offers fast, user-friendly dashboards combining cloud analytics and professional services for optimization and scale.[1][3][5]
• Proven Enterprise Trust: Recognized by Forrester and Gartner, trusted by Fortune 500 brands, and backed by tech-savvy investors, with tech stack including AWS, Facebook Pixel, and Gravatar for robust performance.[1][2]

Role in the Broader Tech Landscape

Conversion Logic rides the wave of multi-channel marketing complexity driven by digital proliferation, video advertising growth, and the demand for AI-enhanced attribution amid privacy regulations and cookieless futures.[1][2][5] Its timing aligns with enterprise needs for real-time, independent analytics as brands shift budgets across channels, fueled by market forces like rising ad spend (projected to exceed $1 trillion globally) and the limitations of legacy tools from walled gardens.[3]

By enabling 50%+ ROI improvements for major brands, it influences the ecosystem by empowering data-driven decisions, reducing waste, and accelerating marketing tech adoption in retail, media, and AI sectors, while its investor network strengthens ties to emerging ad tech innovators.[1][2]

Quick Take & Future Outlook

Conversion Logic is poised to expand as AI attribution becomes table stakes, potentially integrating deeper with emerging channels like CTV and retail media networks amid cookieless tracking shifts.[1][2] Trends like advanced machine learning personalization and privacy-first analytics will shape its path, with opportunities for acquisitions by larger martech players or further funding to hit scale. Its influence may evolve from niche leader to ecosystem enabler, sustaining momentum for brands demanding efficiency in a $5.2M revenue base with proven traction—reinforcing its role as the intuitive edge in cross-channel mastery.[3][4]