AI for Churn Reduction

Identifying and retaining customers with a high risk of evasion

An acquiring company, operating in a highly competitive sector, was facing high churn rates due to the impact of the tariffs applied. Volix developed an advanced predictive model capable of identifying customers most at risk of churn and targeting personalized retention strategies.

The Challenge

Recurrent loss of customers due to pricing and competition
Difficulty in predicting which customers were about to cancel services
Lack of an automated strategy for personalized retention
Direct impact on transaction volume and revenue predictability
Need to adjust tariffs without compromising profitability

Solution

Predictive analysis and personalization of offers for strategic retention

Volix developed a machine learning model that analyzed behavior patterns, transactions and price sensitivity, making it possible to anticipate churn and create personalized retention strategies.

Identification of customers with a high probability of churn, based on behavioral analysis
Creation of targeted offers, adjusting rates and benefits according to the client’s profile
Automation of contact with critical customers, reducing the need for manual action
Simulation of the impact of tariff changes, ensuring a balance between retention and profitability

Results

Retention has become predictable and efficient
Significant reduction in the churn rate, with actions targeted at the right customers
Increased revenue predictability, ensuring a more stable financial flow
Decisions based on data, with offers and pricing adjusted for retention
More strategic segmentation, creating differentiated plans for different audiences

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