At A Glance
Agentic AI is moving faster through media planning than most organizations can define what it means for their business. Vendors are pitching it, conferences are built around it, and marketing teams feel pressure to move now. Before automation reallocates budget or reshapes a customer journey, marketers need three things in place: a shared definition of agentic AI, an identity foundation the system can trust, and independent measurement that keeps buying and performance separate.Agentic media planning has gone from emerging idea to assumed industry direction in a single cycle. The instinct to move fast on new technology makes sense. When a whole industry agrees on something quickly, though, the definitions, limits, and trade-offs that matter most tend to get skipped, and “agentic AI” still means very different things to different teams. Organizations building toward it without a shared definition, risk creating incompatible systems under the same label. There’s foundational work to do before automation takes the wheel.
What does agentic AI mean in media?
Much of the current enthusiasm around agentic AI conflates the technology with a specific tool. In many conversations, “agentic” has become shorthand for highly autonomous generative AI, as though large language models (LLMs) were the entire system rather than one component within it.
That framing understates what agentic systems are. Agentic systems are decision frameworks, not models. They coordinate predictive models, generative tools, and non-AI logic to move from signal to recommendation to action.
This pattern already exists outside media. Starbucks’ “Deep Brew” connects real-time purchase signals with personalized offers while informing what products stores stock and promote. The system coordinates customer demand with operational decisions across the business. Layering prompt engineering onto an LLM is a different thing entirely.
Without a shared definition of what “agentic” means for your organization, teams risk optimizing different visions of the same idea:
All may qualify as agentic, but without a shared definition, you can’t build toward the same goal. That’s why defining the problem statement comes first, not last.
Why do acting systems raise the stakes?
Here’s what sets agentic systems apart from earlier waves of automation: they don’t just inform decisions; they execute them. Programmatic has always operated within guardrails, executing and optimizing based on defined parameters. Agentic systems work more like navigation. They determine direction and weigh trade-offs against a wider set of context. When an agent reallocates budget mid-flight, suppresses an audience segment, or swaps creative, the quality of the identity and business logic behind that decision determines the outcome.
Here’s what sets agentic systems apart from earlier waves of automation: they don’t just inform decisions; they execute them.
Apply that framework to media. An agentic system operating on incomplete identity data or stale signals won’t slow down to account for the gap. It optimizes faster in the wrong direction. The coordination layer needs to weigh reach, incrementality, audience fatigue, and margin before it shifts spend, and that requires inputs that are accurate, current, and governed. Accountability and oversight aren’t optional anymore; they need to be built into the design from the start.
Watch our Curated Couch session on agentic media planning
Why should measurement stay separate from buying logic?
As autonomy grows in media systems, a structural problem emerges: the system shouldn’t measure its own performance.
When buying logic and measurement logic live in the same loop, performance numbers can look strong simply because they’re optimized to the system’s own signals. Success stops being defined externally and starts being defined internally. Agentic models trained on this pattern learn from the signals they favor, optimizing toward the outcomes they’re best equipped to observe. Performance looks good inside the system, and reflects a narrower view of what’s actually happening.
Independent measurement gets framed as friction on automation more often than not. In reality, it’s what lets automation to scale responsibly. Incorporating independent measurement signals into agentic decision-making, while maintaining meaningful separation from buying logic, produces an objective view of performance, one that can be compared consistently across systems rather than optimized within a single one. That distinction matters when you need to explain results to a client, stakeholder, or regulator.
AI as coordination layer, not an infrastructure replacement
Nothing here slows down automation. Independent measurement doesn’t add friction to execution but builds confidence in the outcomes those decisions generate. The organizations that will benefit most from agentic media won’t necessarily be the ones that adopt it fastest, but those that take the time to define where trusted autonomy creates measurable value and where human judgment needs to stay in the loop.
Before automation reallocates dollars or reshapes customer journeys, the data model has to hold up under scrutiny.
Trust in data, systems, and decision-making processes becomes the real constraint as agentic systems move from insight to action. That trust doesn’t come from autonomy alone, but it comes from governed data and decisions that can be explained, audited, and defended. Every brand that has operationalized automation at scale has learned the same lesson: before automation reallocates dollars or reshapes customer journeys, the data model has to hold up under scrutiny.
How does Experian help you build a defensible foundation?
Experian’s approach to AI in marketing starts from the same principle: intelligence is only as reliable as the foundation it’s built on.
We have spent decades building and governing data in regulated industries. That experience is what makes our foundation AI-ready: not just technically capable but built to withstand the scrutiny that responsible automation requires.
2026 State of advertising report
Our 2026 State of advertising report brings together perspectives from 14 leaders operating across key parts of the advertising ecosystem to show how shifts in AI, commerce media, healthcare, and more, are taking shape in practice.
Download our 2026 State of advertising report and hear from Scott Bender, Head of Publisher & Platform Partnerships, Newton Research, on how AI in advertising is reshaping planning, activation, and measurement.
The data foundation comes first
Agentic AI will reshape how media is planned and bought. That shift is happening now, and the opportunity is significant. But the advantage belongs to organizations that build on a foundation their systems, partners, and stakeholders can trust. Before automation runs, the inputs must be defensible, identity must be accurate, measurement must be independent, and the problem statement must be clear. Get those things right, and automation becomes more powerful. Skip them, and you’re simply moving faster in the wrong direction.
About the author
Budi Tanzi
SVP, Product, Experian
Budi Tanzi is the Senior Vice President of Product at Experian Marketing Services, overseeing all identity products. Prior to joining Experian, Budi worked at various stakeholders of the ad-tech ecosystem, such as Tapad, Sizmek, and StrikeAd. During his career, he held leadership roles in both Product Management and Solution Engineering. Budi has been living in New York for almost 11 years and enjoys being outdoors as well as sailing around NYC whenever possible.
FAQs
Agentic AI refers to systems that move from signal to recommendation to action with a high degree of autonomy. In media, this means an agent can reallocate budget, adjust audience targeting, or swap creative mid-flight based on real-time signals. Unlike standard programmatic systems that execute within predefined guardrails, agentic systems function more like a navigation layer, coordinating across data inputs, predictive models, and business rules to make directional decisions.
Data quality matters more as media automation becomes more autonomous because autonomous systems don’t slow down to account for bad inputs. If an agentic media system operates on incomplete identity data or stale audience signals, it optimizes faster toward the wrong outcomes. The quality of the identity foundation, the accuracy of audience attributes, and the reliability of measurement inputs all become more consequential, not less, as human oversight is reduced.
Programmatic executes and optimizes within defined parameters whereas agentic systems function at a higher level of abstraction, weighing reach, incrementality, fatigue, and margin before determining where and how to shift spend. Programmatic is the engine. Agentic AI, when built correctly, is the navigation layer that determines direction based on wider context and business objectives.
Measurement should be kept separate from buying logic in agentic systems because when a system measures its own performance, it optimizes toward outcomes it’s best equipped to observe. The definition of success becomes internal rather than external, and performance numbers may look strong while reflecting a narrower view of what’s working. Independent measurement, kept meaningfully separate from buying logic, produces results that can be compared across systems and explained to stakeholders without ambiguity.
Experian’s Offline Graph and Digital Graph provide a privacy-first identity foundation covering more than 250 million U.S. consumers and 4.2 billion digital IDs. Experian’s Marketing Data adds more than 5,000 attributes per audience, and Experian’s outcomes measurement keeps performance signals independent from buying logic.
Latest posts
Tom Rolph, VP EMEA at Tapad, part of Experian, says that ad-sponsored streaming services can be successful if they can deliver a higher quality viewer experience than other streaming services. Last week, Hulu, the streaming service acquired by Fox and now owned 60 per cent by Disney, announced it will be regularising its ad loads. The streaming service will be bringing ad breaks down to 90 seconds in an effort to deliver a better viewer experience. This is a positive move from Hulu and one which other ad-supported streaming services should follow in order to be successful in a competitive market. Previously ad breaks on Hulu could vary wildly, from 180 seconds to 240 seconds, due to existing deals with its three owners: Disney, Comcast and AT&T. Over in the UK, we haven’t suffered from quite as inconsistent an approach as in the US, but there is still viewer frustration with the ad experience on ITV Hub and All4, where the problem tends to be over exposure of the same ad. Therefore, this move to standardise ad break lengths for streaming platforms is one that should be embraced on both sides of the pond. An important shift in this space will be to limit the number of ads during each show, but have better ad targeting to minimise repetitive advertising and increase the ROI of ad spend. All of which can be accomplished by investing in identity resolution products that can support CTV devices. Last year Ofcom found that in the UK subscriptions to Netflix, Amazon and NOW TV have risen above those to traditional pay TV services. With Netflix and Amazon both ad-free and NOW TV only a limited ad funded model, it’s clear that there is a growing appetite for ad-free viewing models. A fact that is only further supported when you consider the role of the BBC and BBC iPlayer. But the picture isn’t entirely negative for ad-funded models. There is demand for great content on ad-funded services in the UK, with ITV Hub boasting over 1bn requests and 540m hours of TV watched. The ITV Hub mobile app has also been downloaded on over 27m devices across the country – with over 22m people now registered to ITV Hub database, including more than half of Britain’s 16-24 year olds. However, to continue to attract and retain younger viewers, the experience will have to improve. There are several areas where ad-supported streaming providers need to improve in order to remain top players in this space: Ad experienceAs explored above, both volume and repetition of ads can be a turn off for viewers, but with Brits already spending a total of £303.16m every month on TV streaming services, according to Finder.com, there is potential for free, ad-funded models to flourish as people hit a limit on what they are willing to spend. There are already signs of improvement with the ad experience, with ITV just signing a deal with Amobee to allow for addressable ads on ITV Hub, while Sky’s AdSmart technology remains best in class and has now crossed over the pond to be used by Comcast stablemate NBC. Server reliabilityA cursory search finds little evidence of ongoing reliability problems with Netflix, but much evidence of problems with ITV Hub and All4, which are both prone to crashing. To compete with bigger players with massive server farms, server capacity needs to be tackled. This is especially true when it comes to live events, where many people will recall ITV Hub’s famous fails during the World Cup. While even some of the larger players have had similar streaming issues (for example, Amazon’s move into live sports streaming when they had to pull UK streaming of the US Open Tennis due to user complaints), viewing experience should be prioritised as the space gets increasingly competitive. Getting the content rightAmazon and Netflix have huge content budgets, but UK broadcasters remain strong in this regard, Channel 4 has enjoyed viewing figures of 7.5m for the Great British Bake Off, while ITV pulled in 13.7m for I’m A Celebrity. By building on UK-specific content that speaks to UK audiences, ad-supported streaming services can continue to pull in more viewers. Mobile accessMore and more Brits are choosing to watch TV content on their smartphone or tablet, according to UKOM-approved comScore data. In fact, 6.5m adults visited the BBC iPlayer app to watch video on either a smartphone or tablet, edging out Netflix which attracted 5.8m Getting the experience right on mobile, with the option to download content so it can be viewed in areas of low or no signal, is key.If UK ad-supported TV stations can crack these key areas for their Connected TV offering then they will be set up to succeed and offer a true home-grown alternative to the US streaming giants. Full article here. Contact us today
Tapad’s, part of Experian, SVP of Identity shows us how marketers might communicate seamlessly through emerging channels like voice, the smart home, and, yes, podcasts.In his relatively new role as senior vice president of identity at Tapad, a part of Experian, Ajit Thupil keeps a close eye on the evolution of marketing as it becomes more intent on using data and identity technology to track ROI. Here he sits with Chris Wood at Tapad’s New York offices to discuss the future of identity. (To capture the inventive atmosphere at this location, the room they chatted in was named after Leonardo da Vinci.) For Thupil, it all comes back to the customer, whether it’s a brand client or a consumer. Brands want measurability and customers demand a seamless experience across the many devices they use in a day. While consumers are understandably reticent about giving up personally identifiable information (PII), current identity solutions use anonymous data profiles to connect the dots at the individual or household level. Given the frequency that users switch devices, along with their tendency to share bigger screens like TVs, there’s no dearth of challenges for this “head of problem solving” to solve. Contact us today
Joint solution will enhance accuracy and reach across North America, EMEA and APAC NEW YORK, April 17, 2019 /PRNewswire/ — Tapad, a global marketing technology company and leader in digital identity resolution solutions, today announced a new joint capability with Arm®Treasure DataTM , a leader in enterprise customer data management. The partnership combines The Tapad GraphTM technology with Arm Treasure Data’s robust enterprise Customer Data Platform (CDP), enabling advertisers in the Arm Treasure Data marketplace to access Tapad’s datasets. With the integration of Tapad’s Graph and Arm Treasure Data’s existing first party data, marketers will be able to deliver scalable, cross-device messaging with precision. In addition, marketers can benefit from anonymous customer journey analysis, audience expansion and online and offline attribution. Arm Treasure Data’s APAC market customers will have access to expanded audience reach by leveraging Tapad’s global, proprietary datasets. While Tapad will be able to extend its presence into the APAC region, tapping into Arm Treasure Data’s existing footprint. “The Tapad GraphTM is a trusted and established platform with a history of innovation,” said Stephen Lee, Senior Director, Business Development, Arm Treasure Data. “Integrating Tapad’s technology into the Arm Treasure Data CDP will allow for streamlined experiences across markets, achieving global scalable reach.” For more information about The Tapad GraphTM, or to request a demo, visit our identity page. About Tapad Tapad, Inc. is a global marketing technology company and leader in digital identity resolution solutions. The Tapad GraphTM, and related solutions, provide a privacy-safe approach to connecting device identifiers to brand and marketer data, thereby allowing for enhanced measurement, attribution, reach and ROI of marketing campaigns. The Tapad GraphTM enables marketers around the world to maximize campaign effectiveness and drive business results. Tapad is recognized across the industry for its innovation, growth and workplace culture, and has earned numerous awards, including the TMCnet Tech Culture Award. Based in New York, Tapad also has offices in Chicago, London, Oslo, Singapore and Tokyo, and is a wholly owned subsidiary of Telenor Group. About Treasure Data Arm Treasure Data enterprise Customer Data Platform (CDP) unifies data from multiple sources – online, offline, IoT and device generated data – and empowers enterprises to disrupt their markets with superior customer experiences. Our customers are creating transformational customer relationships by connecting the data dots with our CDP. Arm Treasure Data is fully owned by Arm Holdings and has a global customer base of over 300 enterprises including Fortune 500 and Global 2000 companies. Our clients manage over 130 trillion records, resulting in more predictable and profitable business results. Contact us today