Key SaaS Metrics Every Team Should Track
Master the 10 essential SaaS metrics that drive revenue decisions, improve retention, and align product with business outcomes. Track churn, conversion, and expansion revenue with Mixpanel, Amplitude, or PostHog.
Core Revenue Metrics
The financial metrics that define SaaS unit economics. Focus on MRR, ARR, NRR, and payback period—the metrics investors and finance teams obsess over.
Monthly Recurring Revenue (MRR)
The predictable monthly revenue from active subscriptions. Track MRR growth rate, churn impact, and expansion to forecast cash flow and runway.
Annual Recurring Revenue (ARR)
MRR × 12—the annual projection of recurring revenue. Critical for board presentations, Series A fundraising, and long-term planning.
Net Revenue Retention (NRR)
Percentage of revenue retained from existing customers after accounting for churn and expansion. NRR > 100% signals strong product-market fit.
CAC Payback Period
How many months of gross margin it takes to recover customer acquisition costs. Short payback (< 12 months) enables reinvestment in growth.
Expansion Revenue
Revenue gained from existing customers via upsell, cross-sell, or upgrade—not new logos. Often 20–40% of SaaS growth in mature companies.
User Acquisition & Conversion
Metrics that move the top of the funnel from visitor to trial to paying customer. Every percentage point in trial-to-paid conversion scales revenue.
Trial-to-Paid Conversion Rate
Percentage of trial signups who activate a paid subscription. The single most impactful lever for B2B SaaS growth after product-market fit.
Sales-Assisted Conversion Rate
Percentage of sales-qualified leads (SQLs) who close into paying customers. High conversion (60%+) suggests strong product fit and sales execution.
Cost Per Acquisition (CAC)
Total sales and marketing spend divided by new customers acquired. Track by channel—organic CAC is often 50–75% lower than paid ads.
Magic Number (Net New ARR / Marketing Spend)
Ratio of net new ARR to total marketing spend in the prior quarter. Benchmark: > 0.75 is highly efficient, < 0.5 signals spending issues.
Feature Trial Completion Rate
Percentage of trial users who complete a core onboarding task (e.g., import data, run first query, invite teammate) within the trial period.
Product Health & Feature Adoption
Metrics that measure how deeply users engage with your product post-signup. Low adoption signals onboarding gaps or unclear product value.
Daily Active Users / Monthly Active Users (DAU/MAU Ratio)
DAU ÷ MAU reveals stickiness. Ratio > 0.25 is strong (users log in 7+ days/month); < 0.15 signals weak engagement or seasonal use.
Feature Adoption Rate
Percentage of active users using a key feature (e.g., dashboards, automation, APIs). New features should hit 40%+ adoption within 3 months.
Time to Value (TTV)
Days from signup to first meaningful metric (e.g., running a report, exporting data). TTV < 7 days strongly predicts trial-to-paid conversion.
Feature Stickiness (Habit-Forming Features)
Percentage of users returning to specific features weekly. Sticky features (e.g., dashboards) predict lower churn and higher expansion.
Inactive User Percentage
Percentage of paid customers with zero login activity in the last 30/60 days. Rising inactivity predicts churn within 90 days—early warning signal.
Retention & Loyalty
Metrics that measure whether customers stick around and grow with you. Churn is the silent killer of SaaS—these metrics help you prevent it.
Monthly Churn Rate
Percentage of customers who cancel in a month. SaaS benchmark: 5–7% for SMB, 2–3% for enterprise. Every 1% matters—churn directly reduces revenue.
Logo Retention Cohort Analysis
Cohort table showing percentage of customers retained by month since signup. Identifies if churn happens early (onboarding issue) or late (product boredom).
Net Promoter Score (NPS)
Survey score (0–100) measuring willingness to recommend your product. NPS > 50 is exceptional; < 20 signals dissatisfaction and future churn.
Customer Health Score
Composite score (e.g., login frequency + feature adoption + support tickets) predicting churn risk. Red flags warrant proactive outreach via CSM.
Revenue Retention Rate (by Cohort)
Percentage of revenue from a customer cohort retained after N months, accounting for downgrades and churn. Spot if cohort quality is declining.
Key Takeaway
Master these 20 metrics to build a data-driven SaaS engine. Start with trial-to-paid conversion, churn, and feature adoption. Export to a shared dashboard (Amplitude, Mixpanel, or PostHog) and review weekly—what gets measured gets managed.