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Decision tree and churn prevention in subscription pricing

EPP IGNITE 2025 – AI The Future of Pricing | September 17-18 | London, UK

  • Unlock the potential of decision tree algorithms to identify early warning signals of customer attrition before they manifest in traditional metrics
  • Discover how gradient boosting and neural networks can be applied to create dynamic pricing strategies that neutralize adverse mix effects across manufacturing, luxury, and service industries
  • Implement K-means clustering techniques to segment your customer base with precision, enabling targeted promotional offers that maximize return and minimize churn

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