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Newton Research names Christine Grammier as Chief Customer Officer. Grammier Will Build Scalable, Predictable Revenue Engine While Ensuring Customers Achieve Measurable Business Outcomes BOSTON, MA, UNITED STATES, September 9, 2026 / EINPresswire.com / - Newton Research, a leader in agentic AI analytics for advertising and media, today announced that Christine Grammier has joined as the company's first Chief Customer Officer. Grammier will lead the commercial and customer organization at Newton, focusing on accelerating growth, expanding strategic customer relationships, and helping marketers use AI-powered analytics to make smarter advertising investment decisions. "This role has been created around Christine's incredible talent for bridging product and customer needs and successfully scaling businesses. She is a fantastic addition to our executive team at a time of major growth at Newton, and I'm thrilled to welcome her," said John Hoctor, Co-Founder and CEO at Newton Research. Grammier joins Newton from LiveRamp, where she most recently served as Vice President of Global Measurement Products. She brings more than 20 years of experience helping brands, retailers, agencies, and publishers use data and technology to drive better marketing outcomes. Her expertise spans the full measurement lifecycle - from audience strategy and customer segmentation to multi-touch attribution, and Marketing Mix Modeling - across TV, programmatic, and social. She began her career as a founding team member of Marketing Evolution in 2003, one of the early analytics companies to successfully measure marketing performance across online and offline media, and later spent eight years at LiveRamp leading teams across measurement, analytics, data collaboration, product, and customer solutions. Christine has also contributed to industry measurement and analytics initiatives through the IAB, the Advertising Research Foundation (ARF), and the Coalition for Innovative Media Measurement (CIMM). "Newton Research has already attracted world-class customers with their Unlimited Analytics offering. Having worked across many tools and use cases throughout my career, I've seen the value in giving marketers the flexibility to fill gaps in their analytics or extract value from what they already have. Newton's roadmap is setting the bar for how to use AI in advertising, and I'm thrilled to help customers realize the value alongside such a wonderful team," said Christine Grammier, Chief Customer Officer at Newton Research. About Newton Research Newton Research uses intelligent agents to make advertising and media analytics affordable and scalable. Founded by a team of successful media analytics entrepreneurs, the company provides brands, agencies, publishers, data companies and tech companies with multi-agent systems capable of handling complex marketing analytics tasks. Trained on real use cases with the ability to be completely customized, Newton's agents learn and improve over time. Companies unlock the insights in their own data and gain access to Newton's integrated data partners to quickly and easily perform end-to-end analytics on demand. EMILY RILEY WIT Strategy +1 914-330-1128 email Advertising Industry Review here Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. Advertising Industry Review do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.

Newton Research has launched Unlimited Analytics, an agentic AI intelligence layer for digital advertising. The platform enables brands, agencies and media companies to implement analytics across media planning, campaign optimisation and performance measurement. Agency partners include Dentsu, Horizon Media and RPA. The latter is using the platform to explore causal modelling capabilities. Unlimited Analytics features advanced causal modelling that identifies which factors drive outcomes, next-generation marketing mix modelling that delivers results in days rather than months, and agentic media buying that provides real-time intelligence. The platform integrates with existing technology stacks without requiring infrastructure changes. Newton Research was founded by a team of media analytics entrepreneurs and uses intelligent agents to make advertising analytics more affordable and scalable.

Newton Research's new agentic layer can (kinda) predict the future. Tuesday, August 4th, 2026 - 8:00 am Think of causal modeling like scientifically-backed fortune telling. It looks at whatever data is available and uses that to predict what's going to happen next. It's casual modeling that's at the core of AI ad analytics platform Newton Research's new agentic layer, called Unlimited Analytics. Launched on Tuesday, Unlimited Analytics contains a host of agents and agentic workflows that handle each step of a campaign lifecycle, from planning to activation to measurement. Newton's clients can engage with Newton's agent in natural language if they have a specific request, which will delegate them to the correct specialized agent, or they can select from a pre-built blueprint for a particular task, like building a report in Excel. Horizon Media has been using the tool for about a year now, all within its intelligence marketing platform, Horizon Blu. The tool "democratizes" Horizon's analytics, said EVP of Analytics Kevin McGehee. Through Unlimited Analytics an agent can be prompted to answer questions about strategy, data and analytics in natural language, rather than having to wait for an answer from someone on another team. Data analysts generally spend about 80% of their time doing "what I think of as the precursor to the insightful piece," said John Hoctor, CEO and co-founder of Newton Research, like moving and combining data and checking its accuracy. When agents can help with that 80%, he added, analysts can spend more time focused on measurement, developing client relationships and the rest of their expertise. With access to bid data, creative data and geographic data that it didn't have before, Horizon has seen a 10% to 20% increase in return on ad spend. Getting specific. The causal modeling in Newton's agentic layer allows clients to accurately predict outcomes before committing to spend. For instance, if a client types, "what happens if we shift 20% of budget from Social to Programmatic?" Unlimited Analytics will look at millions of data points, including which customers were exposed to what creative and when, and determine the likely outcome. The agents are able to pull data at a "hyper-granular level, like at the ID level," said McGehee. Understanding details that weren't previously present in traditional MMM datasets, like the exact touchpoints a viewer has been exposed to in the past or their consumption habits, allow Horizon Media to target their audience with more specific and resonant messaging. For instance, Horizon was able to see that for one of its clients, a custom "health-conscious" audience segment converted at an incremental rate of 2x above average on CTV, and that they were most responsive to ads that featured creative focused on high-protein breakfast and store location. Horizon worked with the client to double down on protein-focused ads with location-based calls to action, rather than running broader-reach CTV ads. Unlimited Analytics also includes agents with MMM building capabilities. They can build an MMM from scratch, said Hoctor, but if clients have an existing MMM that needs improvement, they "don't have to rip that out." Rather, the agents can work to improve the current model by designing it to run more frequently, or by building a specific workflow, like one for tracking measurement or incrementality. The MMMs are trained on client-specific datasets, including a brand's own first-party data and any third-party data they license, like weather patterns. "If you try to use generic data on a modeling problem, it's probably not a good plan," said Hoctor, since "relevant" data means different things to different brands and industries. "The models that you're going to run for a quick serve restaurant," he added, "are going to be very different from an entertainment company." Completing the circle. Horizon, for one, has "always had MMM capabilities at its core," said McGehee. Unlimited Analytics has helped it build on top of its existing models to get more granular insights into which audiences respond best to its content and which components of its media are driving conversions. All of the data is integrated into Newton's platform via Snowflake connections, so the data doesn't have to be transferred into an entirely separate workflow. This way, said McGehee, it's harder for anything to "slip through the cracks." Newton has helped Horizon "connect the dots" from exposure to conversion, he added, by tracking mid-funnel metrics like site engagement, as well as creative scores and metadata from past ads. Now, said McGehee, it's clearer to Horizon "not just what worked, but also why it worked." Tagged in: