Most retail organisations run a Voice of the Customer (VOC) programme, which involves collecting customer feedback through surveys, reviews, complaints, or interviews.
Many also track operational and process data. Things like delivery times, stock availability, returns, and customer service performance.
Some also listen to staff through employee feedback, such as what frontline colleagues see and deal with every day.
But there's another type of insight that is now readily available: behavioural data. This is simply data about what customers actually do, not what they say. For example: what they click on, what they search for, what they abandon in their basket, what they buy, and how often they come back.
In many retail businesses, this kind of data sits with the digital or marketing team, and is mostly used to improve campaigns or user experience. It doesn't always make it into broader customer insight work.
In this episode, we look at how customer insight has moved from mainly asking people questions to also watching patterns in real behaviour. We explore what you can see when you combine the two and what it takes to get teams to look at the same evidence, rather than working separately.
What this episode covers:
- What the VOC, VOE, VOP framework asks, and what it can't see
- The behavioural footprint: what customers leave behind, and why it's now accessible to mid-market retailers
- The gap between executive confidence and customer reality and how behavioural data makes it visible
- Why Aldi's model complicates the insight engine argument and what that tells us
Thanks for Listening!
Did anything resonate with you from today's conversation? I'd love to know whether customer listening and watching are brought into the same conversation in your organisation, or whether they're still managed separately.
Get the full show notes with all frameworks and resources mentioned at