SaaS Metrics

Renewal Forecast

A renewal forecast estimates how much recurring revenue will renew in a future period based on contract terms, churn risk, and expansion expectations.

Updated 2026-01-24

Definition

A renewal forecast estimates how much recurring revenue will renew in a future period based on contract terms, churn risk, and expansion expectations.

Example

A $2M renewal pool with 90% probability yields a $1.8M base forecast before expansion.

How to use it

  • Build forecasts from contract-level data (term end dates, price, usage).
  • Separate renewal probability from expected expansion to avoid double counting.
  • Track forecast accuracy by segment to improve weighting.
  • Use risk tiers so leaders can see base, target, and downside views.

Common mistakes

  • Assuming all renewals happen on time without slippage.
  • Double counting expansion in both renewal and upsell forecasts.
  • Ignoring product usage signals that flag churn risk early.

Why this matters

This term matters because small changes compound in SaaS metrics. Use consistent definitions by cohort and segment so you can diagnose retention, payback, and growth quality.

Practical checklist

  • Write a 1-line definition for "Renewal Forecast" that your team will use consistently.
  • Keep the time window consistent (weekly/monthly/quarterly) when comparing trends.
  • Segment results (channel/plan/cohort) before drawing big conclusions from blended averages.
  • Sanity-check with a related calculator from the same category on MetricKit.
  • Read the related guide (e.g., Sales ops metrics hub: quota, pipeline, win rate, and capacity planning) for context and common pitfalls.

Where to use this on MetricKit

Calculators

Guides