How ASOS Builds Better Shopping Experiences Through Search, Personalisation and Experimentation — Fireside Chat
For eCommerce leaders, digital product managers, UX professionals and marketers who want to create shopping experiences customers love.
Every great shopping journey is the sum of hundreds of small product decisions. But as customer expectations shift, AI reshapes how people search and discover, and the pressure to prove ROI grows, how do product teams decide what to build, test and prioritise — and what to leave alone?
Join the Director of Product Management at ASOS for a behind-the-scenes conversation on how one of the UK's largest online fashion retailers is pursuing a ""store of one"" — an experience where no two customers see the same ASOS. We'll explore how search, personalisation, experimentation and product analytics come together to move that vision forward, from the AI Stylist and a reimagined personalised homepage to the recommender systems that help millions of customers find what they want. Expect a candid take on the less glamorous foundations that make personalisation actually work — a single, joined-up understanding of each customer — and on the hard trade-offs between customer needs, commercial goals and where to place your bets.
What you'll take away:
- How to sequence personalisation investment — why the unseen foundations often matter more than the shiny features, and how to prioritise the improvements that move both customer experience and revenue.
- How to use experimentation and product analytics to make faster, evidence-based decisions — and build a culture where testing, not opinion, drives what gets shipped.
- What the future of search and personalisation looks like in an AI-native eCommerce landscape, and how to define what ""good"" means when the goalposts keep moving.
Level: Head of / Director / Executive

