Customer Churn Prediction How to Use Churn Prediction and Analysis to Increa | Página 5

FOCUS ON HIGH-
QUALITY LEADS
Customers are less likely to churn if they are
similar to your primary target customers. If you
have access to data about both your customers
and a list of potential customers, this is a great
opportunity to focus on only those who are less
likely to churn.
HOW?
By applying algorithms comparing the features
and characteristics of your customers to those of
your potential customers. The ones that have
similar characteristics (FTE size, annual spend, job
title, type of industry) to your existing customers
are probably most likely to desire your product, to
find it valuable and therefore stick around. Your
segmentation now becomes crucial. Each
customer segment provides you with distinct
features that will help you to easily identify your
next customers.
04