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. 

Generic campaigns: 1–3% conversion. AI-powered personalisation: 8–18%. But the real opportunity isn't better product recommendations. It's the shift from "which product should we sell this customer?" to "what does this customer need, and when?" 

• Why AI-driven personalisation at scale is now a strategic business priority 
• How leading organisations are scaling personalisation across the enterprise 
• Practical strategies for overcoming operational and technological barriers 

Marketing teams aspire to deliver seamless, personalised experiences that build loyalty, increase customer value, and drive repeat purchase. Yet for many organisations, there remains a significant gap between the ambition of personalisation and the reality of delivering it effectively. 

• Breaking down non-unified customer data 
• Navigating the loss of third-party data 
• Managing complex technology integrations 
• Ensuring personalisation doesn't just sit with a siloed marketing team