SaaS LTV Calculator

LTV determines how much you can afford to spend on customer acquisition (CAC), which customer segments to target, and where to invest in product development. The canonical rule is that LTV should be at least 3× CAC for a healthy SaaS business — below that ratio, the business is paying too much to acquire customers relative to the value those customers produce, and above 5× the business is likely under-investing in growth. The absolute LTV number matters as much as the ratio because it sets the acquisition-channel strategy. A segment with $8,000 LTV can justify a $2,000 CAC, which comfortably supports inside sales reps, field marketing, and high-touch demo processes. A $500 LTV segment needs self-serve acquisition at under $150 CAC, which constrains the business to organic content, paid search with tight conversion tracking, and viral/referral mechanics. The math changes entirely between the two. Segment-level LTV analysis frequently reveals that 20% of customer types (by industry, size, or use case) drive 80% of total lifetime value — the Pareto pattern appears reliably in SaaS books. Focusing sales and marketing effort on the highest-LTV segments produces disproportionate growth and margin improvement, while spreading effort evenly across all segments dilutes both.

When a subscription business achieves a monthly expansion rate that exceeds monthly churn, LTV becomes theoretically infinite under the basic formula (in practice, limited by market size and customer size ceilings). This is called net negative revenue churn — each cohort of customers grows in aggregate revenue faster than it loses, even without any new customer acquisition — and it's the holy grail of SaaS economics. Usage-based pricing models (Snowflake, Datadog, Twilio), tiered seat-based scaling (Slack, Notion, Figma), and add-on modules (Salesforce, HubSpot, Shopify) all create natural expansion paths. Public SaaS leaders like Snowflake and Twilio routinely achieve 130–170% net revenue retention, meaning each cohort's revenue grows 30–70% annually without any new customer acquisition. This is the metric that justifies the 15–30× ARR valuation multiples those companies command — investors buying at those multiples are essentially paying for the compounding of existing customer revenue rather than just for new customer acquisition. The practical implication for earlier-stage SaaS companies: prioritize product and pricing decisions that unlock expansion paths, even at the cost of slower initial adoption. A product priced with linear seat-based scaling that grows with customer employee count produces far more durable economics than a flat per-account price that caps LTV at the initial deal size.

Several specific pitfalls produce over-optimistic LTV calculations that mislead strategic decisions. First, using revenue rather than gross-margin-adjusted revenue as the numerator. LTV should capture the cash the business actually keeps after serving the customer, which means multiplying ARPU by gross margin percentage. A $100 MRR customer with 70% gross margin contributes only $70 per month to LTV, and using the $100 figure inflates LTV by about 43%. Second, using blended churn rate across all customer segments when segment-level churn differs substantially. Enterprise customers typically churn at 5–10% annually (roughly 0.4–0.9% monthly) while SMB customers churn at 30–60% annually (2.9–7.4% monthly) — blending these produces a churn estimate that flatters SMB LTV and understates enterprise LTV. Always compute LTV by segment when acquisition channels differ. Third, ignoring expansion revenue in the basic formula produces conservative but misleading LTV numbers. The formula LTV = ARPU × gross_margin ÷ churn_rate assumes zero expansion, which dramatically understates value for products with strong net revenue retention. Use the expanded formula LTV = (ARPU × gross_margin × (1 + expansion_rate)) ÷ (churn_rate − expansion_rate) when expansion rate is material. Fourth, short-term churn rates from early-stage data produce wildly unreliable LTV projections.