I have the distinct pleasure of responding to integrated media briefs for leading brands across the UK, Europe and global markets. As consumer behaviour and technology shift, those briefs reveal how businesses are responding and where they continue to get stuck. They also point to a practical lesson for agentic marketing. It can improve decisions, but only when it is built on connected media intelligence.
Artificial intelligence is moving beyond summarisation and assisted execution towards decision-making and agentic activation. There is real promise in that shift, from faster learning to more precise media investment. But as our Founder and CEO, George Popstefanov, has cautioned, data is everywhere, but intelligence is not. Agents still need switched-on humans to provide context, guardrails and the conditions that make them useful.
Yet in many businesses, demand creation, or brand, is still managed separately from demand capture, or performance. Responsibilities are divided across teams, regions and partners, while audience insight, planning and evaluation remain siloed.
The result is that leaders struggle to see where growth is coming from, where demand is forming and which activity creates incremental value.
Meanwhile, the consumer journey is already fragmented. Trying to draw an intelligent conclusion from disconnected plans and insights can feel like pulling apart a bowl of spaghetti. Consumers get a less coherent brand experience, while businesses lose the ability to learn across the journey.
This is where media can connect the system, sitting at the intersection of culture, discovery, attention, data and commercial outcomes. The fundamentals of great media planning still apply in an agentic era. We simply need to connect them around these new systems.
At PMG, we bring together brand and performance planning, supported by Alli, our proprietary operating system connecting data with tools for planning, execution, and measurement. That infrastructure helps teams work from shared intelligence, while media specialists interpret what the signals mean for the client’s business. The aim is to understand how demand is created and captured over time, then use that understanding to guide investment and give agents a more complete basis for their recommendations.
Brand and Performance Must Operate as One Growth System
Many businesses still run brand and performance media as parallel systems, with different objectives and definitions of success. The result is an incomplete view of what drives the business.
Brand activity is often judged through reach, frequency or perception without a firm link to commercial outcomes. Performance reporting can create the opposite problem by implying that every touchpoint drives an incremental result, even when it captures demand created by earlier brand exposure or customer experience. If agents optimise against those short-term signals, they race towards the quickest, easiest demand. Investment then flows to people already likely to buy rather than opportunities to create additional value.
So what does the promised land look like?
It starts with a connected system that interprets demand signals across different time horizons. Brand builds familiarity, memory and future demand, earning enough trust to be chosen when the opportunity arises. That system needs a shared view of the audience, where to reach them and how media and creative work together. It also needs consistent signals connecting demand to action and strategy to commercial priorities.
I tend to visualise it as a figure of eight. Stronger brand demand improves the scale and efficiency of performance activity. Performance data reveals addressable audiences and emerging moments that warrant broader investment. This exchange gives businesses a fuller view of where demand is forming and how media moves it forward.
Making that exchange work depends on a few connected capabilities.
Win hearts and minds internally. Brand and performance have distinct roles, but leaders must agree on the value of managing them as one growth system. For many organisations, that alignment is the first hurdle.
Connect audience and communications planning. Build a shared view of priority audiences, the moments that bring them into the category and the barriers that hold them back, grounded in brand and commercial data.
Plan around shared objectives. Carry audience understanding into business goals, aligning always-on activity, planned pulses and larger tentpole moments.
Connect media and creative. Retain flexibility across audiences, channels and formats, but ensure the work adds up to a recognisable communications platform. When it comes together, it is a joy to see.
Match measurement to the decision. Use leading indicators for demand creation and platform data for in-flight optimisation. Incrementality testing and econometrics can show what actually contributed to the result.
Give teams fast access to actionable insight. They need a clear view of where to invest, what to test and when to change direction. Incomplete or outdated data is little use.
Debates over the relative value of brand and performance are outdated. The useful question is whether a business has connected the signals and measures that show how demand is created and captured. That understanding improves investment decisions and gives agents the context to act.
Trust and Discovery Belong in One Intelligence Layer
Consumer journeys now span social feeds, creator content, video, audio, search, retail platforms, AI tools and physical experiences, often within the same journey and across multiple screens.
With more touchpoints, media and creative have to work harder together.
A message does not land the same way in every environment. Media needs quality reach, but also relevance, cultural cut-through and credibility. Each execution should still contribute to a connected communications platform. To make that happen, teams need an always-on intelligence layer that brings together media, audience, cultural, creator, commerce and brand signals.
So planning has to change with it.
Be intentional about media environments. Context, placement and format shape the message, so the strongest creative is planned with media in mind from the outset.
Build coherent meaning across touchpoints. Assets should feel native to each placement while remaining recognisable as the brand.
Grow mental and physical availability. Build memory while making the brand easy to find, evaluate and buy when the moment arises.
Integrate paid, owned and organic activity. Paid media can extend creator, community and partnership work, but these efforts should feel connected.
Treat creators and communities as strategic assets. The right relationships can build credibility, reveal what audiences care about and create value beyond individual activations.
These priorities become more important as AI plays a larger role in discovery and evaluation. Brands cannot control how every model interprets them, but they can strengthen the available signals through clear product information, credible proof points, useful content and a consistent presence. AI visibility should be treated as an ongoing discipline, not a fixed formula.
Put simply, teams need to understand where trust is earned and discovery unfolds. That tells them where a brand should appear, how it should communicate and which signals should guide investment.
Reporting Must Become a Learning System
Siloed, in-channel measurement cannot show what drives growth or where marketing efforts work against one another. Channel data and attribution can provide direction, but no single platform should be the yardstick for business impact. Teams must also avoid overvaluing demand that would have converted anyway.
Fragmented teams produce fragmented reporting. Their dashboards cannot show clearly what works across audiences and channels or how those results connect to the wider consumer journey.
Instead of asking which channel performs best by its own reporting, ask where the business generates incremental reach and performance. That is a stronger basis for deciding where to invest and divest.
Measurement should help teams see what is changing and decide what to do next. That depends on four connected activities.
Understand. Connect market, audience, brand, competitor and customer signals to identify where demand is growing and why performance is changing.
Optimise. Use those signals to adapt live activity and improve performance.
Prove. Use incrementality testing and, where possible, econometrics to distinguish actual contribution from attributed performance.
Activate. Feed those learnings into planning to adjust investment, placements, creative, audiences and future media scenarios.
The aim is for each learning to inform the next plan, strengthening the feedback loop for people making decisions now and the agents that may support them over time.
Build the System Before Scaling the Agents
Teams can begin with one recurring investment decision where disconnected information makes the answer difficult. Whether to expand spending beyond an existing customer audience is a useful example. Answering it requires a view of future demand as well as current conversion performance.
Bring the people responsible for brand, performance, and measurement together to identify the evidence that decision requires. Agree on the business outcome and the period over which it will be assessed, then examine what the available data can establish and where testing is needed. A strong platform-reported return, for example, may warrant further investigation if most conversions come from people already likely to buy.
"Instead of asking which channel performs best by its own reporting, ask where the business generates incremental reach and performance. That is a stronger basis for deciding where to invest and divest."
Use that shared assessment to make a bounded investment decision and define how its results will inform the next plan. An agent can support the analysis and execution once the relevant signals and limits are clear. Working through one decision this way also reveals which connections the team needs to improve before extending automation to more of the media plan.
Agents need better signals, guardrails and context from the humans orchestrating them. People must still define the business objective, challenge the output and decide where accountability remains, especially when the right answer depends on the market or organisation.
Before extending an agent’s responsibilities, leaders should be able to explain which signals inform its recommendations, how those signals relate to business growth, and where specialist review remains necessary. If a recommendation cannot be evaluated beyond the reporting of the platform that produced it, the measurement approach needs further work.
As teams apply what they learn to subsequent plans, their understanding of demand becomes more useful for both human and automated decisions. That is the practical value of connected media intelligence: each investment helps the business understand where growth comes from and provides a stronger basis for the next choice.
