One of the primary objectives for any company is to expand its customer base by attracting new customers while retaining existing ones. Each customer generates a wealth of information that can provide valuable insights into their satisfaction levels with the products or services offered, as well as their likelihood to churn. Several factors influence customer loyalty, including:

• Frequency of using services
• Payment patterns
• Time spent online / in app / on site
• Geographic location
• Age
• Gender
• Seasonality
• Account balance
• Interaction with service providers
• Type of device used
• Participation in loyalty programs

Customer base segmentation

Our algorithms enable the segmentation of the entire customer base into clusters, helping to identify customer segments that are most susceptible to churn. Our services are tailored specifically to the unique characteristics of each client's customer base, ensuring the highest level of prediction accuracy. By detecting potential churn at an early stage, we can take proactive measures to prevent customer attrition.