Ask almost any business leader whether they have enough customer data and the honest answer is usually more than they can use. Every click, basket and return is logged. Loyalty schemes, apps, reviews and social media add more by the hour. Yet the same leaders will often admit they are not sure why customers choose them, or why they drift away.
Leanne Holmes, cover star of our Growth Makers Edition, makes this point about fashion retail, but it holds almost everywhere. More data does not automatically mean a better understanding of customers. Sometimes it means the opposite.
Why more can mean less
Too many numbers. When a dashboard tracks everything, nothing stands out, and meetings turn into debates about which metric matters instead of what to do.
No context. Numbers say what happened, not why. A product that sells out may be loved, or it may simply have been under-ordered.
Insight stuck in one team. The analysts spot a pattern, and the buyers, marketers and store teams who could act on it never hear about it.
Start with a question
The fix begins before anyone opens a spreadsheet. Good teams start from a decision they need to make, such as which products to reorder or which customers are quietly drifting away, and then look for the data that answers it. That one habit cuts out a remarkable amount of noise.
Mix numbers with voices
Data shows what customers did. Conversations explain why. Read the reviews, including the bad ones, and the returns notes, which are often more honest still. Listen in on customer-service calls. Spend time wherever your customers are, whether that is a shop floor or a comment section. A handful of real conversations can explain a pattern that months of reports could not.
Test, don’t guess
Fashion’s test-and-repeat model has a lesson for almost any industry. Put something small in front of real customers, measure the response, then back what works. A result from a genuine test is worth far more than a forecast built on assumptions, and it is usually cheaper too.
Make insight everyone’s job
Share findings in plain language, with a clear “so what” attached. Give frontline teams the numbers that affect their own work, not just the headline figures. And reward people for acting on what they learn, not merely for producing reports about it.
It also helps to agree what you will stop measuring. Every report that nobody acts on costs time and attention that could go to the ones that matter.
None of this needs a new platform or a bigger analytics team. It needs a change of habit: fewer metrics, clearer questions and more time spent with the people the numbers describe.
Data will keep piling up. The companies that pull ahead will be the ones that keep asking customers what they think, and act on what they hear. Most of the time the data is already there. The listening is the hard part.
Before your next report: five questions worth asking
- What decision will this help us make?
- Which two or three numbers really matter for it?
- What would a customer say about this, in their own words?
- Who needs to see it, and will they understand it?
- What will we do differently as a result?