Effective churn management for energy suppliers – with Microsoft Dynamics 365 and AI

Duration of Webinar: approx. 60 minutes

Customer churn is one of the biggest challenges in the energy sector: increasing willingness to switch providers, new competition, high service expectations and ongoing price sensitivity are putting pressure on energy suppliers and municipal utilities alike. Every customer who leaves means not only lost revenue, but also high costs for new customer acquisition and customer service.

In this webinar, we will show you how energy suppliers can not only identify churn risks early on, but also actively prevent them.

You will learn how automated churn probability and scoring models automatically reveal critical signals, which customer retention measures are effective, and how personalised campaigns can be deployed at exactly the right time. Practical, data-driven and tailored precisely to the requirements of the energy industry.

What you can expect:

Part 1: Understanding customers: Identifying churn risks early on

• Typical drivers of customer churn in the energy sector – from service requests to price changes
• AI-supported churn probability and scoring models as an early warning system: How energy suppliers automatically identify at-risk customers

Part 2: Actively preventing customer churn: effective measures & personalisation

• Measures that really retain customers – next best action based on AI analyses
• Personalised customer communication and targeted campaigns
• Tried-and-tested workflows for automation in CRM and customer service
• Proactive service processes: from recovery cases to price change campaigns
• Concrete implementation in Dynamics 365

Your added value at a glance:

• Early risk detection: Identify customers with a high probability of switching before they actually leave.
• Effective customer loyalty strategies: Get concrete approaches that have already proven themselves in the energy industry.
• Personalised communication thanks to AI: Instead of a scattergun approach, rely on targeted, data-based recommendations.
• More efficient service and CRM processes: Automated workflows relieve your team and improve response times.