This whitepaper explains how data teams can help customer success organizations improve retention, reduce churn, and increase lifetime value. It maps key metrics across the customer lifecycle, from onboarding to renewal, and shows how behavioral data reveals early warning signs of churn. The guide emphasizes predictive health scoring, segmentation, and proactive outreach powered by unified data from multiple systems. It also highlights the importance of shared dashboards and self-service access for CSMs. The paper frames customer success analytics as a collaborative effort where data teams enable faster, more personalized customer engagement.

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