How to use AI to tailor experiences across channels while staying ethical, transparent, and commercially effective.

This session helps marketers understand how AI can support personalisation at scale in a way that improves customer relevance, supports customer lifetime value, and respects privacy, consent, and trust. It combines current regulatory guidance, strong academic theory, and practical marketing application.

Why personalisation at scale matters now

AI has made it possible to tailor experiences, recommendations, timing, and content across far more touch points than manual teams could manage alone.

Reputable industry research now frames AI personalisation as a driver of growth, efficiency, retention, and brand relevance, especially when it is embedded across workflows rather than used in isolated pilots.

Reflection question: 
Where would better personalisation make the biggest difference in your current customer journey?

What “personalisation at scale” actually means

Personalisation at scale is the ability to tailor content, offers, journeys, and service interactions across large audiences using data, automation, and AI.

McKinsey describes this through “next best experience”, which focuses on what a customer most needs in a given moment rather than sending the same message to everyone.

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