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Key people at Churney.
Churney is a London-based software company that provides artificial intelligence tools to predict customer lifetime value and churn risk using causal machine learning applied to first-party data. The software-as-a-service platform enables business-to-consumer and e-commerce companies to execute value-based bidding across advertising networks, optimizing customer acquisition costs and maximizing return on ad spend. Additionally, the predictive system integrates directly with existing enterprise marketing technology stacks to deliver personalized retention messaging based on calculated individual churn probabilities. The standard enterprise onboarding process requires 15 days of cross-functional collaboration involving client data, engineering, and marketing departments to fully implement the predictive models. The firm focuses its data processing services on leading consumer brands operating primarily within the United States market. Originally established in Copenhagen in 2019, the enterprise was formally incorporated in the United Kingdom in June 2025.
Key people at Churney.
Churney is an AI-powered SaaS company specializing in predictive Lifetime Value (pLTV) modeling for ad-tech and performance marketing. It builds causal machine learning tools that analyze first-party customer data—fully anonymized and privacy-safe—to predict long-term customer value, enabling optimized bidding on platforms like Google and Meta for higher ROAS in user acquisition and retention.[1][2][3]
Churney serves marketing and data teams at growth-stage companies, solving the problem of ad platforms optimizing only for short-term conversions by feeding pLTV as real-time signals. This unlocks data warehouse value, boosts ROAS (e.g., 33% uplift reported by clients), scales campaigns, and improves retention by predicting churn risk and personalizing interventions via seamless integrations.[2][3]
Churney emerged from ad-tech veterans, data scientists, and engineers tackling complex data challenges in marketing optimization. The company focuses on turning messy data into actionable strategies, such as causal AI for machine learning models and decoding customer value in ad platforms.[1]
Key early traction includes client testimonials on ROAS improvements (e.g., 190% uplift, 33% gains) and expansions to full Google account rollouts, enabling new product scaling. A pivotal partnership with DemandBox launched in 2025 aims to drive pLTV-led growth in performance marketing, signaling rapid ecosystem integration.[3][6]
Churney rides the wave of privacy-first ad-tech evolution post-cookie deprecation, where platforms like Google and Meta demand better first-party signals for machine learning. Timing aligns with rising emphasis on long-term value over short-term metrics amid economic pressures for efficient scaling.[2][3]
Market forces favoring Churney include exponential growth in causal AI for marketing, regulatory pushes for data privacy, and the shift to LTV-optimized bidding—enabling high-value customer acquisition at scale. It influences the ecosystem by setting benchmarks for pLTV integration, as seen in partnerships like DemandBox, empowering DTC brands and apps to compete via data-driven ROAS without workflow overhauls.[3][6]
Churney is positioned for expansion as AI bidding becomes table stakes, with potential to dominate via deeper platform integrations and global scaling. Trends like advanced causal inference and multi-channel retention will shape its path, evolving influence toward full-funnel AI orchestration.
Tying back, Churney's causal AI unlocks hidden data value, transforming ad-tech one breakthrough at a time into sustained revenue engines.[1][2]
