Your data tells us who will leave next

Your CRM, loyalty programme and order history often contain signals of churn long before a customer actually leaves.

We analyse those patterns and build predictive models to identify who is at risk, what predicts churn and when you still have time to act.

But CRM data alone rarely tells the whole story.

Three sources and one diagnosis.

Your customer data
CRM, transactions and customer behaviour show us what happened and which patterns predict churn. But if the reason was never captured, no model can magically find it.

What your own people say
KAMs, Sales and Customer Support know things that never reach the database. Their perspective is valuable but inevitably shaped by the part of the customer relationship they see.

What customers say (but not always do)
Sometimes you simply have to ask. Instead of long surveys answered mainly by people with strong opinions or unusual patience, we use short, targeted research to fill the gaps the other sources can't explain.

ENQOA combines all three in a fast, pragmatic and cost-efficient diagnostic.

The result is a way to identify at-risk customers and take action while they're still customers.

Want to know who's likely to leave next?

Fill in the form below. We'll get back to you to discuss what your data tell you — and what it would take to stop customers from leaving