Retailers are rich in first-party data but poor in customer intelligence.
Signals from surveys, reviews, service interactions, and social channels often sit in siloes - analysed in isolation and rarely translated into action. This
session explores how brands can unify fragmented feedback into a single intelligence layer that reveals real customer needs, exposes friction across
the journey, and powers personalisation that strengthens loyalty and makes retention faster and more cost-effective.
• Uncovering how to consolidate and automate feedback from multiple first-party sources to create a unified view of customer needs and friction points
• Leveraging categorisation, tagging and pattern recognition to separate noise from high-impact issues at an individual and cohort level
• Turning customer intelligence into clear, cross-functional actions that improve experiences, deepen loyalty and drive measurable change