Flooded inboxes. Endless social feeds. Mass marketing at scale. 

For years, brands have competed for attention by being louder, faster, and more frequent. But today, customers aren't asking for more. They're asking for less. Less noise, less irrelevance, less intrusion. In its place, they want something far harder to deliver, experiences that feel thoughtful and genuinely personal. We've moved far beyond simply dropping a first name into an email subject line and calling it personalisation. Today's landscape is defined by AI-driven ecosystems, evolving privacy regulation, and a generation raised on algorithms that anticipate their needs in real time. 

And yet, there's a clear tension. Nearly 50% of Gen Z consumers say they're less likely to buy from brands that deliver impersonal experiences. But only a 1/3 trust those same brands with their data. At the same time, buying behaviour has been fundamentally reshaped. Influence is no longer top-down, it's social, and often led by creators who feel more relatable than brands ever have. Platforms like TikTok haven't just introduced new channels; they've redefined expectations. 

This is a pivotal moment. Not just for marketing teams, but for how brands build relationships in a world where attention is scarce, trust is fragile, and expectations are higher than ever. 

So it raises an important question: In a world of AI agents, constrained data, and shifting trust, what does personalisation actually mean today? 

In this opening session, we'll explore how personalisation is being redefined through three critical lenses, which we explore throughout the next two days: 

• AI Ethics & the Rise of the Agentic Shopper: Explore moving beyond the hype to understand how to responsibly adapt as AI begins to act on behalf of consumers.
• Data as the Foundation of Personalisation: Shifting from fragmented, siloed data to connected, real-time ecosystems that enable seamless and meaningful customer experiences.
• Relevance Over Hyper-Personalisation: Recognising the tipping point where personalisation becomes intrusive and focusing instead on delivering value at the right moment. 

As personalisation becomes more powerful, it also becomes more visible and more sensitive. 

• Be Honest About Data Usage: Explore how brands can clearly communicate what data is collected, how it is used, and what value the customer receives in return.
• Communicate Clearly and Consistently: Discuss how consistent communication across channels reinforces credibility in personalised experiences.
• Encourage Feedback: Discover how giving customers visibility, choice, and control over their personalisation settings strengthens trust and improves the underlying data quality driving AI systems.