Lifetime Value and Customer Lifetime Value explained side by side. Learn when each term applies and how to calculate the metric correctly.
LTV is the total expected revenue a business will generate from a single customer over the entire relationship. It is the dominant abbreviation in SaaS, tech, and venture-backed startups.
Often used in forward-looking, predictive models and paired with CAC for unit economics analysis.
CLV is the same metric under a different name. The full form "Customer Lifetime Value" is preferred in marketing, CRM, academic, and enterprise contexts.
Sometimes used specifically for historically observed value rather than predicted value.
LTV and CLV calculate identical things: the total monetary value a customer brings to your business over their entire relationship with you. The difference is purely nomenclature. LTV drops the word "Customer" for brevity and has become the default in SaaS circles. CLV keeps the full descriptive name preferred in marketing and academia.
When you see LTV:CAC ratios in SaaS benchmarks and CLV analysis in a Harvard Business Review article, they are measuring the same underlying business health metric.
LTV = Average Revenue Per Account (ARPA) / Monthly Churn RateExample: ARPA = $200/month, Churn = 2% monthly. LTV = $200 / 0.02 = $10,000
LTV = (ARPA x Gross Margin %) / Churn RateExample: ARPA = $200, Gross Margin = 75%, Churn = 2%. LTV = ($200 x 0.75) / 0.02 = $7,500
CLV = Average Purchase Value x Purchase Frequency x Average Customer LifespanMore common for e-commerce and transactional businesses where customers do not pay a recurring subscription.
| Criteria | LTV | CLV |
|---|---|---|
| Full Name | Lifetime Value | Customer Lifetime Value |
| Underlying Metric | Identical to CLV | Identical to LTV |
| Primary Context | SaaS, tech, venture capital | Marketing, CRM, academia, enterprise |
| Common Pairing | LTV:CAC ratio | CLV segmentation by cohort or persona |
| Temporal Focus | Often predictive / forward-looking | Can be historical or predictive |
| Formula Variations | ARPA / Churn (subscription-focused) | Purchase Value x Frequency x Lifespan (transactional) |
| Used In | Investor decks, SaaS benchmarks, unit economics | Marketing attribution, CRM analytics, academic research |
| Industry Benchmark | LTV:CAC > 3:1 is the gold standard | Varies widely by industry vertical |
Some practitioners reserve LTV for forward-looking models that predict future value using machine learning or probabilistic methods. Predictive LTV accounts for expected expansion revenue, upsell probability, and survival curves.
Historical CLV sums all past revenue from a customer who has already churned or is still active up to the present day. It is a lagging indicator used to evaluate past performance rather than project future value.
Using gross revenue instead of gross margin
LTV should reflect the profit you keep, not just the revenue. Always subtract cost of goods sold and support costs.
Using annual churn instead of monthly churn in the simple formula
The formula LTV = ARPA / Churn requires that ARPA and churn use the same time unit. Mixing monthly and annual figures inflates LTV dramatically.
Ignoring expansion revenue
For SaaS with upsell and cross-sell, LTV should account for revenue expansion over time, not just the initial contract value.
Applying one LTV number to all customer segments
Enterprise customers and SMB customers have very different lifetimes. Segment LTV by plan, industry, or acquisition channel for actionable insights.
Use our free LTV calculator to compute customer lifetime value using multiple methods. Compare LTV:CAC ratios, model different churn scenarios, and benchmark against industry standards.
Yes, in most contexts LTV (Lifetime Value) and CLV (Customer Lifetime Value) refer to the exact same metric: the total expected revenue a business earns from a single customer over the entire duration of their relationship. The terms are interchangeable in the vast majority of business and product conversations. LTV is the more common abbreviation in SaaS and tech circles, while CLV tends to appear more often in traditional marketing and academic literature.
Use whichever term your audience already uses. If you are presenting to a SaaS-focused board or investor, LTV is the conventional choice. If you are working with a marketing team, CRM platform, or enterprise setting, CLV is often preferred. Some practitioners use CLV specifically when referring to historically observed value and LTV when referring to a forward-looking predictive model, but this distinction is not universal and should be explicitly defined in any document that relies on it.
The most common SaaS formula is: LTV = (Average Revenue Per Account / Churn Rate). For example, if ARPA is $100/month and monthly churn is 2%, then LTV = $100 / 0.02 = $5,000. A more complete formula accounts for gross margin: LTV = (ARPA x Gross Margin %) / Churn Rate. This gives a truer picture of profitability rather than just revenue.
A healthy SaaS business typically targets an LTV:CAC ratio of 3:1 or higher. This means for every dollar spent acquiring a customer, you expect to earn at least three dollars in lifetime value. A ratio below 1:1 means you are losing money on every customer. Ratios above 5:1 may indicate you are underinvesting in growth. The payback period, which is CAC divided by monthly gross profit per customer, should ideally be under 12 months for most SaaS businesses.