Skip to content

Chapter 4 of 8

Revenue and Retention Metrics

Once revenue is recurring, it has to be measured consistently. Annual recurring revenue (ARR) is the annualized value of recurring subscription contracts at a point in time, excluding one-time fees, while monthly recurring revenue (MRR) is the normalized monthly value of all active subscription contracts. Average contract value (ACV) is the average annualized revenue of a closed contract, calculated as total contract value divided by years. Each of these is best computed once, in one canonical place, and reused everywhere downstream.

Retention is measured along two axes. Gross revenue retention (GRR) is the percentage of starting recurring revenue retained from existing customers, excluding upsell and capped at 100%. Net revenue retention (NRR) includes expansion revenue from existing customers, so it can exceed 100%. The difference between the two is precisely whether expansion is counted in; a top-quartile B2B SaaS company often reports NRR in the 110–120% range or higher, indicating expansion meaningfully exceeds churn. Negative churn occurs when expansion revenue from existing customers exceeds revenue lost to churn, so net MRR grows even without new logos.

Churn itself can be measured in two complementary ways. Logo churn is the percentage of customer accounts lost over a period, regardless of revenue size, while revenue churn is the percentage of recurring revenue lost, which differs from logo churn when customers vary widely in size. Churn analysis examines why customers leave or downgrade so teams can improve retention, and a renewal motion is the structured process for retaining customers at the point their contract or subscription is up for continuation. Expansion revenue is the additional revenue from current customers through upgrades, add-ons, or seat growth.

Cohort analysis groups customers by a shared start date and tracks their retention or expansion behavior over time, and the resulting retention curve plots the percentage of a cohort still active at each subsequent period, revealing churn patterns. Usage heatmaps visualize feature adoption or login activity across customer segments to spot adoption gaps. A health score combines product usage, support tickets, NPS, and other signals into a numeric indicator of customer risk or expansion potential. Reported win rate benchmarks vary widely, but a commonly cited range for B2B SaaS is roughly 20–30%, with SMB higher and enterprise lower.

All chapters
  1. 1Foundations of Revenue Operations
  2. 2The Revenue Funnel and Lifecycle
  3. 3Lead Qualification, Scoring, and SLAs
  4. 4Revenue and Retention Metrics
  5. 5Efficiency, Velocity, and Unit Economics
  6. 6Forecasting, Pipeline Integrity, and Deal Inspection
  7. 7Go-to-Market Motions, Roles, and Segmentation
  8. 8Process Design, Data Governance, and Operating Cadence

Drill it

Reading is not remembering. These come from the Revenue Operations deck:

Q

What is revenue operations?

Revenue operations, or RevOps, is the practice of aligning sales, marketing, and customer success around shared data, process, and revenue goals.

Q

Why does RevOps matter?

It reduces handoff friction, improves forecasting, and helps teams scale with less duplication and confusion.

Q

What problem does RevOps usually solve?

It addresses siloed teams, inconsistent process, poor reporting, and revenue leakage across the customer lifecycle.

Q

What is a revenue funnel?

A revenue funnel is the staged journey from lead to customer to renewal or expansion.