Behavioral and transactional factors

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One of the factors that influence churn involves customer behavior , which can be analyzed from several aspects such as:

Frequency of application use
Customer service channel preferences
Quick responses
Campaign engagement
In addition, transactional factors are also important, considering lithuania mobile database regularity and value of transactions, the use of financial products and account movement.

For example, if a customer accesses the app frequently but makes few transactions, this could indicate dissatisfaction with the products offered .

When this behavior is accompanied by multiple support requests, it is a clear sign of frustration and risk of churn.

High segmentation
Customer segmentation should be done to identify correlations that indicate churn risks. This analysis needs to go beyond demographic data , considering:

Usage behaviors
Transaction histories
Engagement levels in digital channels.
Highly engaged customers need to be evaluated differently than inactive customers. Understanding the needs of each group enables the development of targeted strategies and personalized interventions to maximize retention.