Calculate LTV with gross margin, expansion revenue, and NPV adjustment. Get your LTV:CAC ratio, CAC payback period, and scenario modeling — features no other free tool offers.
Used by SaaS founders to understand retention economics and prioritize growth investments
Average monthly revenue per customer
% of customers who cancel each month
Revenue minus COGS as percentage
$99 ARPU × 20.0 months × 80% margin
20.0mo
1 ÷ monthly churn rate
$950
ARPU × 12 × gross margin
$1,980
ARPU ÷ churn rate (raw revenue)
Cutting churn from 5% to 2.5%/month would increase your LTV from $1,584 to $3,168 — a +100% improvement worth $1,584 per customer.
Every 1% reduction in monthly churn is worth approximately $396 in additional LTV per customer.
| Segment | Typical LTV | Avg Lifetime | Monthly Churn | Notes |
|---|---|---|---|---|
| B2B SaaS (SMB)(your range) | $15K–$40K | 2–3 years | 3–5% | Self-serve, higher churn, lower ACV |
| B2B SaaS (Mid-Market) | $80K–$200K | 3–5 years | 1.5–3% | Inside sales, moderate retention |
| B2B SaaS (Enterprise) | $300K–$1M+ | 5–7+ years | 0.5–1.5% | High ACV, long contracts, low churn |
| B2C SaaS | $200–$2K | 6–18 months | 5–8% | High volume, high churn |
| E-commerce SaaS | $5K–$30K | 1–3 years | 3–6% | Channel-dependent |
| Fintech | $50K–$300K | 3–5 years | 1–3% | Compliance lock-in, switching costs |
Low LTV is almost always a customer-fit problem. The Distribution Framework uses AI agents to evaluate ICPs, source high-quality leads, and write personalized outreach — so you find customers who stick around longer, expand their accounts, and drive the LTV metrics you actually want.
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Customer Lifetime Value (LTV) is the total gross profit a business can expect from a single customer over the entire duration of their relationship. It's not just revenue — it's revenue minus the cost to deliver that revenue (gross margin), which is why calculating LTV without accounting for gross margin leads to dangerously optimistic projections.
For SaaS companies, LTV is the counterpart to CAC (Customer Acquisition Cost). Together they form the most important ratio in your unit economics: LTV:CAC. If your LTV is $1,500 and your CAC is $400, your ratio is 3.75:1 — healthy. If your LTV is $300 and your CAC is $400, you're destroying value with every customer you acquire.
The three common LTV formulas, from simple to complete:
1. Simple LTV (avoid this one):
LTV = ARPU × Average Customer Lifetime
This ignores gross margin entirely. A $99/month customer who stays 18 months has an LTV of $1,782 by this formula. But if your gross margin is 60%, you're only keeping $1,069 of that. The simple formula overstates LTV significantly.
2. Gross-margin-adjusted LTV (the standard):
LTV = ARPU × (1 / Monthly Churn Rate) × Gross Margin
This uses the mathematical relationship between churn rate and average customer lifetime: at 5% monthly churn, the average customer stays 20 months (1 / 0.05). This is more defensible than estimating lifetime directly.
3. Expansion-adjusted LTV (the most accurate for growing accounts):
LTV = ARPU × Gross Margin / (Churn Rate − Expansion Rate)
If your customers expand at 2% per month (through upsells, seat additions, usage growth) while churning at 5%, your effective net churn is only 3%. This dramatically increases LTV and reflects the reality of most successful B2B SaaS products.
Common LTV mistakes founders make:
The cleanest way to calculate SaaS LTV is to start with your churn rate and work forward — rather than estimating customer lifetime directly (which is easy to rationalize optimistically).
Step-by-step worked example:
You have a B2B SaaS product with:
Step 1 — Average customer lifetime:1 / 0.04 = 25 months
Step 2 — Gross-margin-adjusted LTV:$149 × 25 × 0.75 = $2,794
Step 3 — Expansion-adjusted LTV:($149 × 0.75) / (0.04 − 0.015) = $111.75 / 0.025 = $4,470
The expansion-adjusted LTV is 60% higher than the standard formula — which is why ignoring expansion revenue is such a costly mistake for products with active upsell motion.
Monthly vs. annual calculations:
Most SaaS metrics are calculated monthly, but investors often want annual figures. The conversion is straightforward:
1 − (1 − monthly churn)^12 (not just × 12, which overstates it)1 − (0.96)^12 = 38.5%, not 48%When to use the NPV-adjusted LTV:
For longer customer lifetimes (Enterprise, Fintech), money received in year 4 is worth less than money received today. The NPV-adjusted formula discounts future cash flows:
NPV LTV = (ARPU × Gross Margin) / (Monthly Churn Rate + Monthly Discount Rate)
With a 10% annual discount rate (0.83%/month), a customer with $149 ARPU, 75% margin, and 4% monthly churn has:
NPV LTV = ($149 × 0.75) / (0.04 + 0.0083) = $111.75 / 0.0483 = $2,313
The NPV figure is typically 10–25% lower than the standard LTV and is more conservative for business planning.
The LTV:CAC ratio is the clearest signal of whether your business model is sustainable. It tells you how much value you generate per dollar spent acquiring a customer.
How to interpret your ratio:
Industry benchmarks for LTV:CAC by segment:
The relationship between LTV:CAC and CAC payback:
A 3:1 LTV:CAC ratio with an 18-month payback period is very different from a 3:1 ratio with a 6-month payback. The ratio tells you the long-term picture; payback tells you the cash flow picture. For bootstrapped founders, payback often matters more than the ratio — you don't have venture capital to fund a 24-month payback period. Use the free CAC calculator to model your payback period alongside LTV:CAC.
How acquisition efficiency affects LTV:CAC:
The fastest way to improve your ratio isn't always to increase LTV — sometimes reducing CAC by finding higher-fit customers (who also tend to churn less) moves both levers at once. Broader targeting increases CAC and often increases churn; narrowing your ICP reduces both.
LTV is a function of four variables: ARPU, churn rate, gross margin, and expansion rate. Every lever to improve LTV touches one of these.
1. Reduce churn (the highest-leverage move)
Each percentage point of monthly churn reduction has a compounding effect on LTV. At 5% monthly churn, average customer lifetime is 20 months. At 4%, it's 25 months — a 25% increase in lifetime from a single point of improvement. Use the free churn rate calculator to model the revenue impact of churn reduction before committing engineering resources to it.
The best churn reduction strategies: improve onboarding to faster time-to-value, build in integration lock-in (imported data, connected workflows), proactively identify at-risk customers with usage signals, and sell annual plans to customers who would otherwise churn in month 4–6.
2. Increase ARPU through better packaging
A 20% ARPU increase has the same effect as a 20% churn reduction — but it's often easier to achieve through pricing changes than behavioral ones. Common approaches: introduce usage-based pricing tiers that grow with the customer, add seat-based pricing in team products, or create a higher-tier plan that bundles features your best customers already want.
3. Build expansion revenue (the LTV multiplier)
Expansion revenue — upsells, cross-sells, seat additions, usage overages — transforms the LTV math. At 2% monthly expansion with 5% monthly churn, your effective net churn is only 3%, which increases average lifetime by 67% (from 20 to 33 months). At 4% expansion with 5% churn, you have negative net churn — your existing cohorts grow in revenue over time even as some customers leave.
Expansion is most powerful in usage-based or seat-based products. Build your product to give customers a reason to expand: lower their unit cost at higher tiers, make collaboration features require more seats, or create value that scales with the customer's success.
4. Improve gross margin
Gross margin directly multiplies every LTV calculation. Going from 70% to 80% gross margin increases LTV by 14% with zero other changes. For SaaS, gross margin is primarily determined by infrastructure costs (hosting, bandwidth, AI API calls), customer support costs, and third-party software dependencies. Investing in operational efficiency and infrastructure optimization pays compounding returns through improved LTV.
5. Convert monthly customers to annual plans
Annual plans improve LTV in two ways: they eliminate the opportunity for early churn (customers can't leave in month 3 on an annual contract) and they often come with a meaningful usage increase or commitment. For products with 5–8% monthly churn, annual plans can effectively double or triple average customer lifetime. Offer a 15–20% discount to make the switch compelling — the math works in your favor because the reduction in churn risk is worth far more than the discount.
After looking at dozens of SaaS unit economics models, the same mistakes appear repeatedly. Here's what to avoid.
Mistake 1: Using revenue churn instead of logo churn in the LTV formula
Revenue churn (net revenue retention) and logo churn (customer count churn) are different metrics. The LTV formula uses logo churn — how many customers are leaving, not how much MRR is churning. If you have expansion revenue, your net revenue retention can be positive while customers are still churning. Using net revenue retention in the LTV formula will dramatically overstate lifetime.
Mistake 2: Ignoring gross margin and calling revenue "LTV"
This is the most common mistake and the most consequential. If your gross margin is 60% and you're using revenue to calculate LTV, you're overstating it by 40%. A startup that thinks its LTV is $3,000 (revenue) but is actually $1,800 (gross profit) might believe its LTV:CAC is 3:1 when it's really 1.8:1 — the difference between "healthy" and "losing money on every customer."
Mistake 3: Setting overly optimistic lifetime assumptions
When you ask founders to estimate average customer lifetime, they often anchor to their best customers — the 3-year clients who love the product. The mathematical approach (1 / churn rate) forces honesty: at 6% monthly churn, your average customer lifetime is 17 months, not 3 years, regardless of your best-case anecdotes.
Mistake 4: Not accounting for time value of money in long-tail businesses
For B2B SaaS with long customer lifetimes (Enterprise, Fintech), cash received in year 5 is worth significantly less than cash received today. A customer who pays $500/month for 6 years has an LTV of $36,000 in nominal terms — but only about $26,000 in present value terms at a 10% discount rate. Using NPV-adjusted LTV leads to more conservative and accurate projections for long-lifetime segments.
Mistake 5: Treating LTV as a static number
LTV is a function of your current churn rate and ARPU — and both change as you grow. Early-stage SaaS often has higher churn as you find product-market fit; more established products often have lower churn. Model LTV as a range based on pessimistic, realistic, and optimistic churn assumptions rather than as a single number. Use the scenario modeling in this calculator to see how much your LTV improves if you reduce churn by 25% or 50%.
For a deeper look at how revenue projections change with different churn assumptions, try the revenue growth calculator to model month-by-month MRR trajectories.