Article · 10 min read

A data-driven framework for customer success renewals forecasting

Chris Pilbeam · ChurnZero Free Advanced

A three-step forecasting framework plus the honest list of what breaks it (cross-team data gaps, non-recurring revenue, scale). Useful when your renewal forecast keeps missing.

  • Lists five forecasting approaches: linear regression, cohort analysis, time series, machine learning, and top-down or bottom-up.
  • Anchors the forecast on six tracked numbers: MRR, ARR, customer lifetime value, CAC, churn rate, expansion revenue.
  • Without enough clean historical data you will read random fluctuation as a trend.
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It answers 2 questions

  1. How do I build a renewal and expansion process that runs without me in every deal?
  2. How do I forecast renewals so the number is actually believable?

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