Webinar: Stop Churn Before It Starts

• Early warning: learn who to act on now—before they churn
• Right priorities: rank customers by value × risk and use your capacity where it matters most
• More effective actions: see how predictions support retention, campaign targeting, and pricing decisions
• Revenue protection: more stable recurring revenue and more reliable planning
• Clear interpretation: how to read a “churn risk score” and what management should do with it
• A clear path to deployment: what to watch out for and how to move from pilot to production

Agenda:

• Why address churn in the energy sector: where companies lose customers and money, typical churn signals
• How churn prediction helps the business: what questions the model can answer and what decisions it supports (retention, campaigns, pricing)
• Technical solution on AWS (high-level): data → feature engineering → model (training & evaluation) → prediction → business action
• Practical demo: analyses, charts, risk score, interpretation, and recommended actions for management
• Pitfalls and next steps: how to go from pilot to real deployment
• Moderated Q&A

Who should attend?

Teams in the energy sector who want to reduce churn and improve retention without “gut-feel” decision-making:
CRM & marketing, sales, customer care, pricing, data/BI, and management.