AI-Underpinned Churn Prediction Improves Retention and Customer Lifetime Value

Why AI-Enabled Churn Prediction?

AI improves churn prediction by identifying customers who aren’t really very happy with the product, services, or customer support offered by your business. They are at risk of being poached by your competitors. Churn prediction underpinned by AI analyzes behavioral signals, transaction patterns, and engagement data to flag key signals that suggest imminent customer attrition. This enables key stakeholders to act proactively with targeted offers, service improvements, and personalized outreach, thereby minimizing customer churn.

The Client

The client was a leading telecom operator serving a growing volume of subscribers across mobile, broadband, and enterprise services. Key customer touchpoints included the website, apps, call centers, and retail outlets. The nature of the business was such that even a slight churn could result in a domino effect that majorly affected brand reputation, revenue, and market share. The client wanted to stay one step ahead of churn risks.

The Challenges

Inability to anticipate churn rates resulted in higher customer attrition and more expensive acquisitions.
Fragmented customer data made it challenging to unmask behavior patterns that provide key churn insights.
Manual analysis could not keep pace with the speed and scale of customer interactions.
Lack of proactive retention strategies resulted in reactive, costly customer win-back campaigns.

The Solution

Customer Churn Prediction Tool

AI models process large datasets in real time, delivering early churn predictions and alerts.
Exploratory data analysis surfaces hidden patterns, correlations, and behavioral signals.
Anomaly detection highlights outliers and irregular usage trends for more precise predictions.
Data-driven insights feed into proactive retention campaigns, improving customer loyalty.

TURN DATA INTO INSIGHTS

The Outcome

1

35% improvement in churn prediction accuracy within six months.

2

20% increase in retention rates through timely, targeted interventions.

3

25% reduction in customer support costs by focusing on high-risk profiles.

4

Boost in average customer lifetime value by unlocking cross-sell and upsell opportunities.

Technology Stack

Oracle Cloud Infrastructure (OCI) Oracle Autonomous Data Warehouse Oracle Machine Learning (OML) Oracle Data Integrator Oracle OCI Data Science

AI/ML Models

Oracle OCI Language Oracle OCI Vision Oracle Generative AI Oracle Generative AI Agents Oracle OCI Data Labeling

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AI-Underpinned Churn Prediction Improves Retention and Customer Lifetime Value

Why AI-Enabled Churn Prediction?

The Client

The Challenges

The Solution

Customer Churn Prediction Tool

The Outcome

Technology Stack

AI/ML Models

DO YOU WANT TO TURN DATA INTO OUTCOMES?

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