February, 2026.- In a digital ecosystem saturated with AI, CRM, and personalization tools, the advertising industry faces a paradox: we have never had so much data, yet it has rarely been this difficult to convert into true relevance. For Nicola Nimmo, the answer isn’t more technology—it’s better integration. With over 20 years of experience leading strategic transformations, Nimmo joins Cheil UK to lead the Intelligent Engagement offering, a capability designed to close the gap between technological investment and emotional consumer impact.
In this exclusive interview with Roastbrief, Nicola delves into why brands must stop viewing engagement as a series of isolated campaigns and start treating it as a living system. From integrating retail insights to creating content that responds in real-time to user behavior, her approach seeks to eliminate the operational friction that often stalls creative ambition. Nimmo speaks about the necessity of building execution models that survive the reality of budgets and platforms, ensuring that success in the coming years will not come from technical complexity, but from constant utility and relevance. This is an essential conversation to understand how data must stop being a static report and become the engine for decisions that generate long-term value.
You’re stepping into a newly created role to lead Cheil UK’s Intelligent Engagement offering. What gap did you see in the market that made this capability both necessary and timely?
The gap is between investment and impact. Brands haven’t held back on CRM, data or AI, but engagement hasn’t kept pace.
What’s missing isn’t more technology. It’s connection. Retail insight, content decisions and customer data still live in different places, owned by different teams, measured in different ways. Intelligent Engagement exists to bring those signals together and turn them into something usable. It’s timely because brands are realising that scale and sophistication don’t automatically lead to relevance.
Many brands are investing heavily in CRM, AI and personalisation, yet you’ve said ambition often outpaces execution. Where do you see the most common disconnect between customer data and meaningful engagement today?
The disconnect is that data is treated as an output, not an input. Insights sit on dashboards. Reports get shared. Then everyone moves on.
Very little of that intelligence shapes decisions in real time, especially content decisions. Personalisation becomes rule-based and surface-level because systems aren’t designed to connect behaviour, retail performance and content effectiveness in one loop. The ambition is big. The operating model isn’t.
Intelligent Engagement brings together retail insight, content and data. How does this approach move brands beyond fragmented, platform-led personalisation toward long-term customer value?
By shifting the focus from platforms to signals. When you connect what customers buy, how they behave and how they engage with content, journeys stop being pre-planned and start responding in real time.
That changes the role of content. It’s no longer guesswork or volume-led. It becomes a direct response to behaviour. Over time, that builds value that compounds, or customers and for the business.
With more than 20 years of experience driving transformation across agencies and consultancies, how has your perspective on customer engagement evolved—and what lessons are you bringing into this role at Cheil?
Engagement used to be about moments and messaging. Now it’s about systems and behaviours.
The biggest lesson I’ve learned is simple: strategy only works if it’s built to survive reality: real teams, real budgets, real platforms. In this role, I’m bringing a strong bias toward execution. Not frameworks that look good on slides, but engagement models teams can actually run, adapt and scale.
Execution is a recurring theme in this launch. As you build and scale this function, what operational or cultural foundations are critical to turning strategy into measurable commercial impact?
First, shared ownership. Intelligent Engagement can’t live in a single team or discipline. Second, feedback loops. Performance has to inform planning continuously, not months later.
Culturally, it means being comfortable with iteration. Moving away from fixed, campaign-led thinking toward systems that learn and improve. That’s where commercial impact really comes from — faster learning, better decisions and less wasted effort.
Cheil has strong credentials across retail, FMCG and automotive. How does Intelligent Engagement adapt across categories with very different customer journeys, decision cycles and data maturity?
The principles stay the same. The signals change.
In FMCG, frequency and retail behaviour matter most. In automotive, it’s longer consideration cycles and fewer but richer interactions. Intelligent Engagement isn’t a one-size-fits-all solution. It’s a flexible framework that adapts to the reality of each category, starting where the value is, not where the technology happens to be most advanced.
Looking ahead, how do you define “successful customer engagement” in the next few years—and what will brands need to stop doing, as much as start doing, to get there?
Successful engagement will feel effortless to the customer and disciplined behind the scenes. Less visible as “marketing”, more present as usefulness, relevance and timing.
To get there, brands need to stop adding complexity without clear purpose and concentrate on use cases that are connected, scalable and meaningful. And they need to start treating engagement as a system, not a series of campaigns. The brands that do that will build value that compounds, not just spikes.
