Newton Research Debuts Agentic AI Analytics on Snowflake
On November 4, 2025, Newton Research unveiled its innovative integration with Snowflake Cortex AI, delivering advanced advertising and media analytics capabilities directly within the Snowflake ecosystem. This strategic collaboration allows brands, agencies, and publishers to conduct sophisticated measurement activities without moving data outside their secure data environment.
This integration eliminates data transfer barriers, enabling users to run advanced analytics—including media mix modeling, forecasting, incrementality testing, and campaign reporting—without leaving Snowflake. The agents are pre-trained on real-world marketing use cases and can be customized to evolve with client needs, offering continuous optimization and actionable insights.
Seamless AI-Driven Analytics Within Snowflake
The new analytics agents operate securely within Snowflake Cortex AI, allowing users to analyze performance, measure campaigns, and understand audiences more effectively. These capabilities reduce reliance on external platforms and manual processes, enabling quicker insights and more agile decision-making.
Newton Research Co-Founder and CEO John Hoctor expressed enthusiasm about the launch, stating, “Companies can now measure advertising performance directly within their Snowflake environment, combining cutting-edge AI with powerful data management.”
Horizon Media Implements Integration via Blu Platform
Horizon Media has already adopted the integration through its Blu Platform, aiming to democratize access to advanced marketing analytics for its clients. John Koenigsberg, EVP and Head of Platform Partnerships at Horizon, highlighted the move as a critical step in realizing an open, AI-native future. “By integrating Newton’s agentic AI within Snowflake’s secure environment, our open ecosystem strategy comes to life,” said Koenigsberg.
This implementation reflects wider trends in advertising technology where interoperability and open platforms are becoming essential features of modern marketing infrastructure.
Addressing Long-Standing Measurement Barriers
Historically, sophisticated techniques like media mix modeling and incrementality testing have been costly and time-consuming, requiring expert teams and lengthy deployments. Newton’s agentic AI approach makes these once-exclusive tools affordable and scalable by automating complex workflows and learning from client-specific data over time.
Founded by former Data Plus Math executives, Newton brings a wealth of media measurement experience to the table. Their multi-agent systems are designed to work on-demand, unlocking actionable insights from both proprietary and integrated partner data.
Snowflake’s Growing Role in Ad Tech
Snowflake is rapidly expanding its advertising technology ecosystem. Dennis Buchheim, Global Head of Adtech/Martech at Snowflake, emphasized the significance of the Newton partnership, calling it a “next-generation solution” that reduces manual work and eliminates the need for external data transfers.
In recent months, Snowflake has partnered with companies like StackAdapt, Acxiom, and NIQ to enhance its AI marketing infrastructure. These collaborations mark a broader shift toward secure, privacy-compliant data environments that support scalable analytics solutions.
Industry-Wide Push Toward Advanced Measurement
With privacy regulations limiting traditional attribution methods, marketers are increasingly turning to methods like marketing mix modeling. A recent study by TransUnion and EMARKETER revealed that 46.9% of marketers plan to increase their investment in MMM over the next year, making it the top measurement priority.
At the same time, 52% of marketers are using incrementality testing, and research from Kochava indicates that MMM can reveal up to 35% higher campaign effectiveness compared to last-touch attribution.
Agentic AI Gains Traction in Marketing Operations
The Newton launch is part of a broader trend toward agentic AI—intelligent systems capable of autonomous planning and action. McKinsey’s 2025 Technology Trends Outlook identified agentic AI as a frontier technology, attracting $1.1 billion in investment during 2024 alone.
Companies like LiveRamp, Adobe, Amazon, and Adverity have also introduced agentic AI tools this year, enabling more autonomous, adaptable marketing systems. These tools are reshaping workflows, reducing manual labor, and speeding up time-to-insight across the industry.
Open-Source and Privacy-First Innovations
Google’s Meridian platform exemplifies the shift toward open-source, privacy-respecting measurement tools. Since its global launch in January 2025, Meridian has added capabilities like non-media variable analysis and binomial adstock decay functions. It operates on aggregated data, aligning with privacy regulations and evolving consumer expectations.
In September 2025, IAB Australia profiled twelve MMM vendors, underscoring the growing competitive landscape. The report emphasized that effective MMM deployment requires cross-functional alignment, clean data, and strategic clarity.
Secure Technical Architecture
The Newton-Snowflake integration leverages Snowflake Cortex AI’s serverless environment, which supports large language models like Anthropic Claude and Meta Llama. This architecture ensures that analytics are conducted within Snowflake’s security perimeter, addressing compliance and data governance concerns.
Customers benefit from enhanced data security, privacy protections, and governance controls while gaining real-time access to actionable insights. The analytics agents work directly with customer data while maintaining strict privacy standards, enabling tailored measurement strategies that reflect each organization’s unique needs.
Democratizing Advanced Analytics
Ultimately, the partnership between Newton Research, Snowflake, and Horizon Media aims to make advanced marketing measurement accessible to more organizations. By removing historical barriers like cost, expertise, and deployment time, this new approach has the potential to accelerate the adoption of powerful analytics tools across the industry.
However, trust in marketing metrics remains a challenge. Research shows that internal skepticism persists in 60.2% of organizations, with budget allocations at risk. Building confidence will require transparency, recurring measurement councils, and unified reporting frameworks.
With this integration, Newton Research and Snowflake provide a strong foundation for organizations seeking to modernize their measurement infrastructure while keeping data safe and measurement strategies adaptable.
This article is inspired by content from Original Source. It has been rephrased for originality. Images are credited to the original source.