SaaS metrics are the set of measurements that track the health, growth, and sustainability of a subscription software business. Unlike e-commerce or one-time purchase businesses where revenue equals transaction value, SaaS businesses have recurring revenue, customer lifetime value spread over months or years, and churn that can erode revenue even when new customer acquisition is growing. The standard financial statements used to evaluate traditional businesses do not capture these dynamics — which is why SaaS developed its own set of metrics that reflect the economic reality of recurring revenue models.
Understanding these metrics matters for multiple roles: founders using them to assess business health and make investment decisions, marketers connecting campaign performance to revenue outcomes, sales teams understanding what closed-won deals are worth, and finance teams modeling growth and cash needs. The right set of SaaS metrics depends on the company’s stage, growth rate, and whether it prioritizes growth or profitability, but the core set of metrics discussed here applies to almost every SaaS business.
Revenue Metrics
ARR and MRR
Monthly Recurring Revenue (MRR) is the predictable monthly revenue from active subscriptions, calculated by summing the monthly subscription value across all active customers. Annual Recurring Revenue (ARR) is simply MRR multiplied by 12 for annualized comparison. These figures exclude one-time charges (professional services, setup fees, hardware) that are not recurring.
MRR changes from month to month as the result of four components: New MRR (revenue from new customers), Expansion MRR (upgrades and upsells from existing customers), Contraction MRR (downgrades), and Churned MRR (revenue lost when customers cancel). Net New MRR = New + Expansion – Contraction – Churned. A business where expansion revenue from existing customers exceeds churned revenue has “negative net revenue churn” — MRR grows even without new customer acquisition.
Net Revenue Retention (NRR)
Net Revenue Retention measures how much revenue a cohort of existing customers generates over time compared to what they generated when they first subscribed. An NRR above 100% means the existing customer base grows revenue on its own through expansion (upsells, higher-tier plans, usage overages) that exceeds churn and contraction. NRR above 120% is considered strong for growth-stage SaaS; top-performing B2B SaaS companies often show 130%+ NRR, meaning the existing customer base alone would grow revenue significantly even without any new customer acquisition. NRR below 100% means the existing base is shrinking — a ceiling on long-term growth regardless of new customer acquisition rates.
Customer Acquisition Metrics
Customer Acquisition Cost (CAC)
CAC is the total cost required to acquire one new customer, calculated as total sales and marketing spend divided by the number of new customers acquired in the same period. A company that spent $200,000 on sales and marketing and acquired 100 new customers in a quarter has a CAC of $2,000.
CAC should be calculated separately by acquisition channel when attribution data allows — the CAC for customers acquired via inbound organic content may be dramatically different from the CAC for customers acquired via outbound sales or paid advertising. Channel-level CAC reveals which acquisition channels are economically efficient and which are not.
CAC Payback Period
CAC Payback Period is the number of months required to recover the cost of acquiring a customer, calculated as CAC divided by the monthly gross margin contribution of a new customer. A company with $2,000 CAC and $200/month average subscription at 70% gross margin has a CAC Payback Period of 14 months ($2,000 / $140). Payback periods under 12 months are generally considered healthy; payback periods over 24 months indicate either very high CAC or low pricing relative to acquisition cost, requiring high retention to justify.
LTV:CAC Ratio
The Lifetime Value to Customer Acquisition Cost ratio (LTV:CAC) compares the long-run revenue value of a customer to the cost of acquiring them. LTV is commonly calculated as Average Revenue Per Account divided by the monthly churn rate. A business with $200 ARPA and 2% monthly churn has an implied LTV of $10,000 ($200 / 0.02). With $2,000 CAC, the LTV:CAC is 5:1 — conventionally considered healthy; the target for growth-stage SaaS is often cited as 3:1 or higher.
Retention and Churn Metrics
Logo Churn vs. Revenue Churn
Logo churn (customer churn) is the percentage of customer accounts that cancel in a given period. Revenue churn is the percentage of revenue lost to cancellations and downgrades, net of expansion revenue. The two metrics can diverge significantly: a company that retains enterprise accounts while losing small accounts may have low revenue churn (the large accounts are fine) but high logo churn (many small accounts are leaving). Conversely, NRR tracks whether the existing base is growing or shrinking as a revenue pool.
Benchmarking churn: monthly churn rates below 1% (12% annual) are generally sustainable for SMB-focused SaaS; rates below 0.5%/month (6% annual) are considered strong. Enterprise SaaS businesses with annual contracts typically report annual churn rates and aim for under 5%.
Connecting SaaS Metrics to Marketing Attribution
The connection between SaaS metrics and marketing is realized when lead source data flows from acquisition through to the customer record. If the CRM knows the acquisition channel for every customer, then LTV, churn, and NRR can be segmented by acquisition channel — producing metrics like “average LTV for customers acquired via content marketing vs. paid search” and “churn rate by acquisition channel.”
This level of analysis requires: first-party attribution that captures UTM source at the point of lead creation, lead source data written to the CRM automatically (not by sales reps manually), and the customer’s subscription data in a system that allows cohort analysis by source. When these three data layers connect, marketers can move beyond “which channels drive the most trials” to “which channels drive the most high-LTV, low-churn customers” — a fundamentally different and more valuable question.