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§ Private Profile · 150 5th Ave New York, NY 10011 United States
SaaS personalization platform using AI, A/B testing, decision technology to customize customer experiences for e-commerce, retail.
Dynamic Yield has raised $110.0M across 6 funding rounds.
Key people at Dynamic Yield.
Dynamic Yield has raised $110.0M in total across 6 funding rounds.
Based in Tel Aviv, Israel, Dynamic Yield provides a SaaS personalization platform that utilizes artificial intelligence, A/B testing, and decision technology to customize customer experiences across websites, mobile applications, and physical channels. The enterprise operates on a subscription business model, delivering tailored digital content and targeted marketing offers to a customer base of over 400 global brands within the e-commerce and retail sectors. Originally backed by prominent venture capital firms including Bessemer Venture Partners, the software developer was acquired by McDonald’s in 2019 for an estimated $300 million to optimize its digital drive-thru menus. Following its initial integration into the global fast-food chain's operations, the technology firm was subsequently purchased by Mastercard to expand the financial services corporation's broader consumer engagement and loyalty capabilities. Dynamic Yield was founded in 2011 by Liad Agmon and Omri Mendellevich.
Key people at Dynamic Yield.
Dynamic Yield has raised $110.0M in total across 6 funding rounds.
Dynamic Yield's investors include Naver, B Capital Group, Bessemer Venture Partners, Costanoa Ventures, CRV, Friále, Hannah Grey, Streamlined Ventures, Thirty Five Ventures, Viola Ventures, Y Combinator, Dominic Endicott.
Dynamic Yield has raised $110.0M across 6 funding rounds. Most recently, it raised $5.0M Other Equity in November 2018.
Dynamic Yield is an AI-powered personalization and optimization platform, now part of Mastercard's Data & Services division, that helps companies deliver tailored digital experiences to boost engagement, conversions, revenue, and customer loyalty.[1][2][3] It builds the Experience OS, a unified, modular infrastructure enabling marketers, product managers, and developers to algorithmically match content, products, and offers to individual users across channels, serving mid-to-large retailers, financial services, travel, QSRs, and more with over 400 brands and 200 million+ monthly users.[1][4][5] The platform solves the limitations of traditional personalization by using machine learning for hyper-personalization, yielding results like +10.3% add-to-cart uplift, 39% drop in cancellations, and 16% revenue from recommendations.[1][5]
Founded in 2011 as a personalization and recommendation platform, Dynamic Yield initially developed machine learning and AI for optimized customer interactions across industries.[5] It gained early traction with McDonald's, deploying to 15,000 QSRs for 13-15 million daily transactions in drive-thrus and kiosks, which expanded its verticals and doubled sales revenue pre-acquisition.[5] Acquired by McDonald's and later fully by Mastercard (circa 2022), it evolved into Mastercard Dynamic Yield, growing to over 400 employees across six countries while launching Experience OS in September 2022 as a customizable personalization framework.[3][5]
Dynamic Yield rides the wave of AI-driven hyper-personalization, addressing customer demands for customized experiences amid fragmented digital channels and data silos.[1][5] Its timing aligns with post-2022 AI maturation and e-commerce growth, amplified by Mastercard's scale to extend beyond retail into finance and QSRs, influencing 300 million+ sessions monthly.[3][4][5] Market forces like rising customer acquisition costs (cut up to 50% via personalization) and revenue pressures favor its optimization edge, while it shapes the ecosystem by pioneering "personalization as an OS," enabling brands to predict behaviors and sync interactions, fostering loyalty in competitive sectors.[1][6][7]
Dynamic Yield is poised to dominate as the leading personalization OS, expanding Experience OS modularity to new verticals and channels with Mastercard's global infrastructure.[1][3][5] Trends like generative AI integration, cross-industry adoption, and zero-party data will propel growth, potentially scaling to billions in influenced transactions. Its influence may evolve from retail pioneer to enterprise standard, deepening ecosystem ties and redefining customer-centric commerce—building on its mission to make personalization agile and ubiquitous.[1][6]