The way that brands advertise and market to people is being dramatically shifted because of a fundamental change taking place. As brands strive for faster, smarter and more data-driven ways of reaching consumers, and must now launch campaigns across multi-channel, multi-platform and multi-segment audiences, they are faced with managing enormous data sets.
Access to data has grown exponentially but the challenge is now how to make sense of this data to influence the outcome of campaign performance. In response, both agencies and brands are more willing to turn to ad tech tools that can analyze campaign data on an ongoing basis and propose optimization ideas that also facilitate strategic decision making.
Such is the case for Newton Research, which announced earlier this week that it has broadened its collaboration with Dentsu to scale up its AI-based media intelligence across Dentsu’s U.S. media agencies like Carat, dentsu X and iProspect with an eye toward a future worldwide rollout. This shows agentic AI is still being developed and later builds on the idea that the move reflects the emergence of agentic AI from its experimental phase into the heart of today’s ad and marketing businesses.
The News: Dentsu Expands Partnership With Newton Research
The expanded partnership follows a successful pilot program that began in 2025, during which Newton Research demonstrated its ability to deliver advanced analytics, media intelligence, and campaign insights at scale.
Under the agreement, Newton’s agentic AI platform will support planning, activation, and measurement across omnichannel marketing campaigns. The technology will operate within Dentsu’s proprietary data environments, including Modern Media and Dentsu Data Intelligence, helping teams analyze complex datasets and identify performance drivers more efficiently.
A key component of the partnership is Media Intelligence for Buyers and Planners. Newton’s AI agents provide seamless access to campaign performance data while generating AI-powered recommendations that help media teams make more informed decisions. The platform can identify trends, anomalies, optimization opportunities, and audience insights in real time, allowing teams to respond more quickly to changing market conditions.
Also Read: The Autonomous Marketing Cloud: Inside Adobe’s Push to Operationalize Agentic AI
The solution also delivers:
- Enhanced Analytics and Reporting: AI-driven reporting and root-cause analysis capabilities that identify performance drivers and campaign opportunities faster than traditional methods.
- Workflow Automation and Scalability: AI agents operate directly within Dentsu’s technology ecosystem, automating time-consuming analytical processes and improving operational efficiency.
- Real-Time Campaign Intelligence: Continuous monitoring of campaign performance to support faster optimization and decision-making.
What traditionally requires hours or weeks of manual analysis across log files and fragmented data sources can now be done on-demand and at scale by Newton’s agents, operating directly on top of dentsu’s proprietary offerings such as Modern Media and Dentsu Data Intelligence,” said Caitlin Gelles, EVP Data Technology & Measurement at dentsu. “Partnering with Newton unlocks real-time visibility into campaign performance, anomalies, and optimization opportunities that would otherwise be difficult or impractical for analytics teams to continually surface.”
The announcement follows Dentsu’s broader strategy of integrating agentic AI across its operations through initiatives such as dentsu. Connect, a platform designed to unify marketing workflows, data, and decision-making.
Redefining the Advertising and Marketing Industry
This collaboration is a pivotal move in the advertising and marketing industries from reactive clip-based reporting toward an anticipatory, AI-generated media intelligence. In the past, companies depended on analysts and reporting teams to assess how a campaign was performing long after campaigns had been in flight for days or even weeks. By then, it was too late to make adjustments.
This model of human agency is disrupted with the implementation of agentic AI which seamlessly monitors performance metrics and presents marketers with actionability suggestions as they occur. Instead of reporting the results, AI platforms are more and more sought after as strategic intelligence layer enabling marketers to understand 1.
What is happening 2. Why it is happening 3. What action do I take from here.
The deal also is emblematic of the trend of smarter media planning and buying. As the advertising landscape continues to become more disaggregated across streaming networks, social media search retail media, and connected TV, advertisers need tools that can ingest a ton of data and turn it into actionable business insights.
The Macro Effects on Businesses Operating in This Industry
1. Faster Campaign Optimization and Better Advertising Performance
One of the most immediate benefits of AI-powered media intelligence is the ability to identify campaign opportunities and performance issues much faster. Businesses can optimize campaigns in near real time, improving audience targeting, budget allocation, and overall advertising effectiveness.
2. Increased Marketing Efficiency and Scalability
Advertising teams often spend significant time collecting data, preparing reports, and conducting performance analysis. By automating these activities, agentic AI allows organizations to scale operations more efficiently while reducing manual workloads. Teams can focus on strategy, creativity, and customer engagement rather than repetitive analytical tasks.
3. Smarter Media Planning and Buying Decisions
Media intelligence platforms provide buyers and planners with continuous access to AI-generated recommendations and performance insights. This enables more informed decision-making, helping marketers maximize return on investment and improve campaign outcomes across channels.
4. Greater Competitive Advantage Through Real-Time Intelligence
As marketing becomes increasingly data-driven, organizations that can rapidly interpret and act on information will gain a significant competitive advantage. AI-powered intelligence platforms help businesses identify emerging trends, changing consumer behaviors, and market opportunities faster than traditional approaches.
Conclusion
Newton Research and Dentsu, as a joint effort, could be a milestone in the development of advertisement/marketing technology. The partner uses agentic AI analytics automation of workflows, and real-time media intelligence to assist marketers to adopt smarter decisions and boost campaign outcomes at large.
For advertising and marketing industry, the announcement reveals a future where AI is not just an intelligence platform for analysis, but also by being built-in to an information layer among all phases of planning, executing and optimizing the campaign. With brands driven toward more efficiency and agility to gravitate toward true measurability, AI-enabled media intelligence will be an integral part of contemporary marketing organization.