💎LTV / CAC Ratio Calculator: Master Your Customer Unit Economics
Last updated: December 25, 2025
In the world of SaaS, e-commerce, and subscription businesses, two metrics reign supreme: Customer Lifetime Value (LTV) and Customer Acquisition Cost (CAC). Together, these numbers tell a powerful story about whether your business can scale profitably or is headed for trouble. Understanding the LTV/CAC ratio is essential for founders, investors, marketers, and business students alike—it's the fundamental equation that determines whether a customer is worth acquiring.
Customer Lifetime Value represents the total profit a business expects to earn from a single customer over the entire duration of their relationship. It's the sum of all future gross profit contributions, condensed into a single number. Customer Acquisition Cost, on the other hand, measures what you spend to win each new customer—marketing dollars, sales commissions, and related overhead. The relationship between these two numbers determines whether your growth engine creates value or destroys it.
The LTV/CAC ratio is often called the "holy grail" of SaaS metrics. A ratio of 3:1 is commonly cited as the benchmark for a healthy business—meaning you generate $3 of value for every $1 spent on acquisition. But the "right" ratio depends on your business model, growth stage, and strategic goals. Too low means you're losing money on each customer; too high might mean you're under-investing in growth.
Our LTV/CAC Ratio Calculator helps you input your average revenue per customer, gross margin, churn rate, and acquisition cost to instantly see your LTV, LTV/CAC ratio, CAC payback period, and churn sensitivity analysis. Whether you're preparing an investor pitch, optimizing marketing spend, or studying customer economics, this tool provides the insights you need.
📚Understanding LTV and CAC: The Complete Guide
What is Customer Lifetime Value (LTV)?
Customer Lifetime Value (LTV or CLV) represents the total gross profit a business expects to earn from a single customer over their entire relationship. It's not just revenue—it's the profit after accounting for the direct costs of serving that customer.
LTV answers a crucial business question: "How much is a customer worth to us?" This value determines how much you can afford to spend to acquire customers, which customer segments deserve the most attention, and whether your business model is fundamentally viable.
Simple LTV Formula:
LTV = Monthly Gross Profit per Customer × Average Customer Lifetime (months)Where Average Lifetime = 1 / Monthly Churn Rate (as a decimal)
What is Customer Acquisition Cost (CAC)?
Customer Acquisition Cost (CAC) is the average cost a business incurs to acquire a new paying customer. This includes all marketing and sales expenses divided by the number of new customers acquired during that period.
CAC Formula:
CAC = Total Sales & Marketing Costs / Number of New Customers AcquiredCAC typically includes: paid advertising, content marketing, sales team salaries and commissions, marketing tools and software, agency fees, event sponsorships, and any other costs directly attributable to customer acquisition.
The LTV/CAC Ratio Explained
The LTV/CAC ratio compares customer value to acquisition cost. It tells you whether your business generates positive returns from customer acquisition and by how much.
LTV/CAC Formula:
LTV/CAC Ratio = Customer Lifetime Value / Customer Acquisition Cost| LTV/CAC Ratio | Interpretation |
|---|---|
| < 1:1 | Losing money on each customer—unsustainable |
| 1:1 to 3:1 | Below target—room for improvement |
| 3:1 to 5:1 | Healthy range—efficient growth |
| > 5:1 | Strong—may be under-investing in growth |
CAC Payback Period
The CAC Payback Period measures how many months it takes to recover your customer acquisition investment through gross profit. Shorter payback periods mean faster return on investment and better cash flow.
CAC Payback Formula:
Payback Period (months) = CAC / Monthly Gross Profit per CustomerThe Critical Role of Churn
Churn rate has an outsized impact on LTV because it determines customer lifetime. The relationship is exponential, not linear:
- 10% monthly churn → 10-month average lifetime
- 5% monthly churn → 20-month average lifetime (2× improvement)
- 3% monthly churn → 33-month average lifetime (3.3× improvement)
- 2% monthly churn → 50-month average lifetime (5× improvement)
This means even small improvements in retention have dramatic effects on customer economics. Reducing churn from 5% to 4% increases average lifetime by 25%.
🛠️How to Use This Calculator
Follow these step-by-step instructions to calculate your LTV/CAC ratio:
- Enter Monthly Revenue per Customer (ARPU): This is your Average Revenue Per User on a monthly basis. For subscription businesses, it's typically your average monthly subscription price. Include any recurring add-ons or expansion revenue averaged across your customer base.
- Enter Gross Margin Percentage: This is your revenue minus cost of goods sold (COGS), expressed as a percentage. For software companies, gross margin is typically 70-85%. Include hosting costs, customer support, and any direct costs of delivering your service.
- Enter Monthly Churn Rate: This is the percentage of customers who cancel each month. Use revenue churn if your customer values vary significantly; otherwise, logo churn is fine. Be honest—underestimating churn leads to inflated LTV.
- Enter Customer Acquisition Cost: This is your fully-loaded cost to acquire one customer. Include marketing spend, sales costs, and allocated overhead. Use your actual CAC from recent periods, not targets or aspirations.
- Click "Calculate" and Review Results: The calculator displays:
- Customer Lifetime Value (LTV)
- LTV/CAC Ratio with interpretation
- CAC Payback Period in months
- Churn sensitivity analysis showing impact of ±20% churn variation
- Visual charts comparing LTV to CAC
- Experiment with Scenarios: Try different inputs to see how changes affect your unit economics. What if you improved retention by 20%? What if CAC increased due to competition?
📐Formulas and Behind-the-Scenes Logic
LTV Calculation (Simplified Model)
Step 1: Monthly Gross Profit
Monthly GP = ARPU × Gross Margin %Step 2: Average Customer Lifetime
Lifetime (months) = 1 / Monthly Churn RateStep 3: Customer Lifetime Value
LTV = Monthly GP × Lifetime = (ARPU × Margin) / ChurnExample: $100 ARPU × 75% margin = $75 monthly GP. At 5% churn, lifetime = 20 months. LTV = $75 × 20 = $1,500.
LTV/CAC Ratio Calculation
LTV/CAC Ratio = LTV / CAC
Example: $1,500 LTV / $500 CAC = 3.0x ratio
CAC Payback Period
Payback (months) = CAC / Monthly Gross Profit
Example: $500 CAC / $75 monthly GP = 6.7 months payback
Alternative LTV Formula (Including Discount Rate)
Advanced LTV models include a discount rate to account for the time value of money:
LTV = Monthly GP / (Churn Rate + Discount Rate)This accounts for the fact that $1 received in 24 months is worth less than $1 today.
Gross CAC vs. Blended CAC
- Gross CAC: Only includes marketing and sales costs directly tied to customer acquisition.
- Blended CAC: Includes all customers (organic + paid), often resulting in a lower CAC figure.
- Fully-Loaded CAC: Includes allocated overhead, tools, and indirect costs—most conservative approach.
This calculator uses whatever CAC you input—be consistent with how you calculate it.
💼Practical Use Cases
Use Case 1: SaaS Founder Evaluating Marketing Channels
Scenario: Maya runs a B2B SaaS with $100/mo ARPU, 80% gross margin, and 4% monthly churn. She's comparing two acquisition channels: Google Ads ($400 CAC) vs. LinkedIn Ads ($600 CAC).
Analysis: LTV = ($100 × 80%) / 4% = $2,000. Google gives 5.0x ratio; LinkedIn gives 3.3x ratio.
Insight: Both channels are profitable, but Google delivers better unit economics. However, Maya should also consider volume capacity and customer quality from each channel.
Use Case 2: Investor Due Diligence on Portfolio Company
Scenario: A VC associate is evaluating unit economics for a Series B SaaS company claiming strong fundamentals.
Inputs: $200 ARPU | 75% margin | 3% churn | $1,200 CAC
Insights: Calculator shows LTV of $5,000, LTV/CAC of 4.2x, and 8-month payback. These are strong metrics that support the company's growth narrative and justify continued investment.
Use Case 3: Marketing MBA Student Analyzing Case Study
Scenario: Tom is working on a marketing strategy case where he needs to recommend optimal customer acquisition spending.
Inputs: Case data shows $50 ARPU, 70% margin, 6% churn, current CAC of $150
Insights: LTV = $583, giving 3.9x ratio. Tom can use sensitivity analysis to show how much CAC could increase before the business becomes unprofitable (up to $583 theoretically, though 3:1 target suggests max CAC of $194).
Use Case 4: Product Manager Justifying Retention Feature
Scenario: Lisa wants to build a feature estimated to reduce churn from 5% to 4%. She needs to quantify the business impact.
Analysis: At $100 ARPU and 75% margin, reducing churn from 5% to 4% increases LTV from $1,500 to $1,875—a 25% improvement.
Insight: Lisa can show that for 1,000 customers, this represents $375,000 in additional lifetime value, easily justifying the development investment.
Use Case 5: E-commerce Business Planning Marketing Budget
Scenario: An e-commerce company knows their average customer makes $80/month in purchases with 40% gross margin and 8% monthly churn (high for e-commerce). They need to set CAC targets.
Analysis: LTV = ($80 × 40%) / 8% = $400. To maintain 3:1 ratio, max CAC = $133.
Insight: With this tight CAC constraint, the company should focus on organic channels, referrals, and high-intent paid search rather than expensive brand advertising.
Use Case 6: Consultant Diagnosing Growth Problem
Scenario: A growth consultant is helping a struggling SaaS company understand why they're burning cash despite strong customer acquisition.
Inputs: $75 ARPU | 65% margin | 12% monthly churn | $350 CAC
Insights: Calculator reveals LTV of only $406 and a 1.16x ratio—barely breakeven. The 12% churn (industry is ~5%) is the culprit. Fixing retention should be the top priority before scaling acquisition.
⚠️Common Mistakes to Avoid
- Using Revenue Instead of Gross Profit for LTV: LTV should reflect profit contribution, not just revenue. A $100 ARPU with 50% margin generates very different unit economics than $100 ARPU with 80% margin. Always apply gross margin to calculate LTV.
- Underestimating or Misreporting Churn: It's tempting to use the best-looking churn number, but this inflates LTV unrealistically. Use actual trailing 6-12 month churn data, and consider whether logo churn or revenue churn is more appropriate for your business.
- Excluding Costs from CAC: A CAC calculation that only includes ad spend ignores sales salaries, marketing tools, agency fees, and allocated overhead. Under-reporting CAC makes your ratio look better than reality.
- Treating LTV/CAC as a Universal Benchmark: The "3:1 rule" is a starting point, not a universal truth. Different industries, business models, and growth stages warrant different ratios. A marketplace might be healthy at 2:1 while enterprise SaaS might target 5:1.
- Ignoring Payback Period: A 5:1 LTV/CAC ratio sounds great, but if payback takes 36 months, you have a severe cash flow challenge. Always consider both ratio and payback together.
- Not Segmenting by Customer Type: Aggregate LTV/CAC can mask important differences. Enterprise customers might have 8:1 ratios while SMB shows 1.5:1. Blended numbers hide these insights.
- Assuming Static Metrics: LTV and CAC change over time. As you scale, CAC often increases (you've exhausted easy customers) while churn patterns evolve. Recalculate regularly with current data.
🎯Advanced Tips & Strategies
- Improving LTV is Often More Valuable Than Reducing CAC:A 20% improvement in LTV (through better retention, expansion revenue, or pricing) directly flows to the ratio. Reducing CAC by 20% has the same mathematical effect but may be harder to achieve and can limit growth.
- Calculate Cohort-Based LTV: Instead of using aggregate churn, track how specific customer cohorts retain over time. Recent cohorts may have different characteristics than older ones, affecting true LTV.
- Include Expansion Revenue in LTV: If customers upgrade over time (negative revenue churn), your LTV is higher than the simple model suggests. Account for average expansion revenue in your ARPU calculation.
- Segment LTV/CAC by Channel: Different acquisition channels have different CAC and may attract customers with different retention patterns. Calculate channel-specific ratios to optimize marketing mix.
- Use Predictive LTV for New Customers: Don't wait years to know actual LTV. Build predictive models using early engagement signals to estimate expected LTV for recent cohorts.
- Balance Short-term CAC Payback with Long-term LTV: Some businesses can tolerate longer payback periods if LTV is extremely high and churn is predictable. Match your payback tolerance to your funding situation and cash reserves.
- Consider Gross vs. Net Negative Churn: If expansion revenue exceeds churned revenue, you have "net negative churn"—your existing customer base grows in value over time. This dramatically changes LTV calculations and is the hallmark of best-in-class SaaS businesses.
📈LTV/CAC Benchmarks by Industry
These are general guidelines. Optimal ratios depend on growth stage, funding, and strategic priorities.
| Business Type | Target LTV/CAC | Typical Payback |
|---|---|---|
| SMB SaaS | 3:1 - 4:1 | 6-12 months |
| Mid-Market SaaS | 4:1 - 5:1 | 12-18 months |
| Enterprise SaaS | 5:1 - 8:1 | 18-24 months |
| E-commerce (D2C) | 2:1 - 3:1 | 3-6 months |
| Subscription Box | 3:1 - 4:1 | 4-8 months |
| Mobile App | 2:1 - 3:1 | 1-3 months |
📋Limitations & Assumptions
- Simplified LTV Model: The 1/churn formula assumes constant churn rate and constant revenue per customer. Real customer behavior is more complex with varying retention curves and expansion revenue.
- No Discount Rate: This model doesn't discount future cash flows. A dollar received in year 3 is worth less than a dollar today.
- No Cohort Analysis: The model uses aggregate metrics rather than tracking how specific customer cohorts behave over time.
- Zero Churn Edge Case: When churn is 0%, LTV becomes theoretically infinite, which isn't meaningful. The calculator requires positive churn to compute results.
- Educational Purpose Only: This calculator is for educational and planning purposes. Do not use it as the sole basis for business decisions. Consult with financial professionals for important strategic decisions.
📚Sources & References
The information in this guide is based on established unit economics principles and authoritative sources:
- U.S. Small Business Administration (SBA) - Customer acquisition and retention strategies: sba.gov
- U.S. Securities and Exchange Commission (SEC) - Business metrics disclosure: sec.gov
- Federal Trade Commission (FTC) - Customer acquisition compliance: ftc.gov
- SCORE Association - Customer value and business metrics: score.org
For Educational Purposes Only - Not Financial Advice
This calculator provides estimates for informational and educational purposes only. It does not constitute financial, tax, investment, or legal advice. Results are based on the information you provide and current tax laws, which may change. Always consult with a qualified CPA, tax professional, or financial advisor for advice specific to your personal situation. Tax rates and limits shown should be verified with official IRS.gov sources.
❓Frequently Asked Questions
How is LTV calculated in this tool?
This tool uses a simplified LTV formula: LTV = Monthly Gross Profit per Customer × Average Lifetime in Months. The average lifetime is calculated as 1 divided by the monthly churn rate (as a decimal). For example, with 5% monthly churn, average lifetime = 1/0.05 = 20 months.
Why does the model use churn to estimate customer lifetime?
The 1/churn formula is a common approximation that assumes customers churn at a constant rate each month. While simplified, it provides a reasonable estimate of expected customer lifetime without requiring detailed cohort data. In reality, churn patterns may vary over the customer lifecycle.
Why can't the tool compute LTV when churn is 0%?
When monthly churn is 0%, the formula 1/churn would result in an infinite lifetime, which isn't meaningful for LTV calculation. In this simple model, we can't compute a finite LTV without some positive churn rate. Real businesses with very low churn often use alternative methods to estimate LTV.
What does the LTV/CAC ratio represent?
The LTV/CAC ratio shows how much lifetime value is generated for every dollar spent on customer acquisition. A ratio of 3.0x means each dollar spent on acquisition generates $3 of gross profit over the customer's lifetime. This metric helps evaluate the efficiency and sustainability of customer acquisition.
Why is the payback period shown in months?
The payback period shows how many months of gross profit are needed to recover the CAC. It's calculated as CAC divided by monthly gross profit per customer. This metric is useful for cash flow planning—shorter payback periods mean faster recovery of acquisition investments.
What's the difference between gross margin and net margin for LTV?
This calculator uses gross margin (revenue minus cost of goods sold) to calculate LTV. Gross margin represents the direct profit contribution before operating expenses. Some LTV models use different margin levels depending on what costs are attributed to serving each customer.
How does the churn sensitivity analysis work?
The sensitivity analysis shows how LTV and the LTV/CAC ratio change with ±20% variation in churn rate. This helps illustrate the significant impact that small changes in churn can have on customer economics. Lower churn leads to longer lifetimes and higher LTV.
Is a higher LTV/CAC ratio always better?
Not necessarily. While a higher ratio indicates more value per acquisition dollar, very high ratios might suggest the business could invest more aggressively in growth. The 'right' ratio depends on factors like growth stage, industry, capital availability, and strategic goals. This tool doesn't prescribe target ratios.
What are the limitations of this LTV model?
This simplified model assumes constant churn rate, constant revenue per customer, and immediate gross profit realization. It doesn't account for: cohort-based retention patterns, expansion revenue, discounting future cash flows, variable margins, or customer segment differences. Professional LTV models often incorporate these factors.
How should I interpret these results for my business?
Use these estimates as a starting point for understanding customer economics, not as definitive answers. Compare results against your actual cohort data when available. Consider multiple scenarios and sensitivities. Always combine these metrics with other business analysis and professional advice for important decisions.
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