What is it
Also referred to as “customer churn prediction”, this tool is designed to help companies retain their most at-risk customers.
The solution enables organizations to anticipate churn risk by analyzing interactions, purchasing behaviors, and other relevant signals. It is powered by Machine Learning and Artificial intelligence models, and forms a crucial part of a predictive data analytics approach focused on customer retention.
To get started
To implement the churn prediction model, it is sufficient to provide historical customer data (e.g., demographics, service usage, purchases, support interactions, etc.) along with a label indicating whether the customer has churned in the past. This label can be constructed following an exploratory analysis of the churn phenomenon.
Benefits and Key Features
We develop a tailored model depending on the industry: Telco, utilities, media, banking, retail, e-commerce, etc.
The pipeline is optimized for rapid training and continuous model updates.
The architecture is modular and scalable, allowing new data, customer segments, or risk indicators to be added at any time.
Output
The tool enables you to:
- Proactively predict which customers are at risk of churn
- Segment customers based on their risk level
- Launch targeted retention campaigns for the most critical segments
- Integrate predictions into business systems for automated actions or real-time alerts
Questo prodotto è disponibile anche in modalità di outsourcing.
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