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Customer Churn Reduction

Predicts when customers are likely to churn, rolls out preventative measures and increases overall customer retention.

CHALLENGE

Increasing customer churn rates could negatively impact profit rates.

Factors leading to churn are not known or uncertain.

Customers likely to churn are not known.

It's unclear how to increase count of loyal customers

It's unclear how to roll out retention measures to keep as many customers as possible.

SOLUTION

With machine learning it's possible to understand which factors are leading to churn, and predict customers who are likely to churn.

Proactive measures can be rolled out to keep those customers and increase the count of loyal customers.

Targeted alerts can inform you which customers are about to defect, how to deal with them successfully and identify critical areas of your business that could be optimized in order to reduce customer churn overall.

VALUE

Reduced customer churn rate
Reduced losses due to defecting customers
Increased profits & stability
Increased customer count
Increased market share growth
Increased quality of customers
Improved customer satisfaction & brand reputation

Qualified

Data Science & AI Partner

Based in Belgium &

South-East Europe

LET'S TALK

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