Customer Lifetime Value Calculator (CLV)
Calculate customer lifetime value (CLV) from average basket, purchase frequency, customer lifespan and margin rate. Simulate the impact of improving each lever, compare segments and visualize cumulative revenue.
Customer Parameters
Average amount spent per purchase
Average number of purchases per customer per year
Average number of years a customer stays active
Margin percentage on each sale
For discounted CLV calculation (time value of money). 0 = no discounting.
If provided, enables ROI and CLV/CAC ratio calculation
Customer Lifetime Value Calculator (CLV)
Why calculate CLV?
CLV tells you how much you can invest in acquiring a customer while remaining profitable. Without this metric, you risk spending more to acquire a customer than they will ever return.
Knowing customer lifetime value helps you arbitrate between acquisition and retention, and prioritize the most profitable segments to focus your marketing efforts.
CLV is a key metric for investors: a CLV/CAC ratio above 3 demonstrates a scalable business model and healthy growth.
Use Cases
- E-commerce Marketing Manager
- Define the maximum acquisition budget per channel by comparing CAC to net CLV for each customer segment.
- SaaS Startup Founder
- Present CLV/CAC ratio to investors to demonstrate subscription model viability and justify fundraising rounds.
- Retention Director
- Simulate the CLV impact of reducing churn by 2 points to justify retention program budgets.
- Financial Analyst
- Calculate discounted CLV to evaluate the net present value of future customer cash flows and feed financial forecasts.
How to use this calculator
Enter average basket, annual purchase frequency, customer lifespan and gross margin rate. Optionally add acquisition cost and discount rate.
Review results: gross, net and discounted CLV, CLV/CAC ratio, ROI and payback. Use the lever simulator to identify the best improvement axis.
Compare segments by adding multiple customer profiles and visualize the cumulative revenue curve for each scenario.
Frequently Asked Questions
- How to calculate customer lifetime value (CLV)?
- CLV is calculated by multiplying average basket by annual purchase frequency and average customer lifespan. Then apply the margin rate to get net CLV, representing total margin generated by one customer.
- What is a good CLV/CAC ratio?
- A CLV/CAC ratio of 3:1 is considered healthy: each euro spent on acquisition generates 3€ in value. Below 1:1, you're losing money. Above 5:1, you can invest more in acquisition.
- How to improve CLV?
- The 4 main levers are: increase average basket (upsell, cross-sell), increase purchase frequency (relationship marketing), extend customer lifespan (loyalty programs, churn reduction) and improve margin (cost optimization).
- What is the difference between gross CLV, net CLV and discounted CLV?
- Gross CLV is total revenue generated (basket × frequency × lifespan). Net CLV applies the margin rate to reflect actual profit. Discounted CLV incorporates the time value of money via a discount rate, giving the present value of future cash flows.
- How to estimate average customer lifespan?
- If you know your annual churn rate, estimated lifespan = 1 / churn rate. For example, 20% churn gives a 5-year lifespan. Otherwise, analyze your historical cohorts: when do most customers stop purchasing?
- Why is CLV important for marketing?
- CLV helps define the maximum profitable acquisition budget (CAC should not exceed net CLV), prioritize the most profitable segments, justify retention investments, and arbitrate between acquisition and retention spending.
- What is the relationship between CLV and churn rate?
- CLV and churn are inversely related: reducing churn from 5% to 4% increases average lifespan from 20 to 25 years, i.e. +25% CLV. This is why retention programs often have higher ROI than acquisition.
- How to use CLV for customer segmentation?
- Calculate CLV by segment (by acquisition channel, product category, geography…). High-CLV segments deserve more retention investment. Low-CLV but high-volume segments need CAC optimization.
- What is the payback period in relation to CLV?
- The payback period is the number of months needed to recoup customer acquisition cost (CAC). It's calculated as: CAC / (annual margin / 12). Payback < 12 months is excellent, 12-18 months is acceptable, > 18 months is risky for cash flow.
- How does CLV vary across industries?
- In B2B SaaS, CLV is often high (long lifespan, strong recurrence). In e-commerce, it varies by category. In physical retail, frequency is the key lever. Subscriptions (streaming, boxes) have predictable CLV directly linked to churn.
- What is the discounted CLV (DCF) formula?
- Discounted CLV = Σ (Annual Margin / (1 + discount rate)^year) for each year of the lifespan. This method gives the net present value of future margin flows, more realistic for long lifespans.
- How does CLV help with fundraising?
- Investors evaluate the CLV/CAC ratio to judge model scalability. A ratio > 3:1 with payback < 12 months shows a healthy business model. Cohort CLV also demonstrates the ability to retain and monetize customers over time.
- Should service costs be included in CLV calculation?
- Yes, ideally. The most accurate CLV includes all variable costs per customer: cost of goods sold, customer support, logistics. This is why gross margin rate is used rather than revenue alone.
- How to improve CLV/CAC ratio when it's below 3?
- Two approaches: reduce CAC (optimize acquisition channels, improve conversion, target more qualified audiences) or increase CLV (loyalty, upsell, churn reduction, increased purchase frequency).
- How to simulate the impact of CLV levers?
- This tool features a simulator that applies an improvement percentage to each lever (basket, frequency, lifespan, margin) and calculates the new CLV. This helps identify which lever has the most impact for your specific case.
- What is the difference between CLV and LTV?
- CLV (Customer Lifetime Value) and LTV (Lifetime Value) are synonymous. LTV is the more common abbreviation in English, while CLV is the full academic form. Both refer to the total value a customer generates over their entire relationship with the company.
Understanding Customer Lifetime Value (CLV)
What is Customer Lifetime Value (CLV)?
Customer Lifetime Value (CLV) is a metric that estimates the total revenue or total margin a customer will generate over their entire relationship with your company. It is calculated from three fundamental variables: average basket, purchase frequency, and customer lifespan. Net CLV incorporates the margin rate, and discounted CLV applies a discount rate to account for the time value of money.
How to calculate CLV step by step?
1) Determine average basket (total revenue / number of transactions). 2) Calculate annual purchase frequency (number of purchases / active customers). 3) Estimate customer lifespan (1 / annual churn rate, or cohort analysis). 4) Gross CLV = basket × frequency × lifespan. 5) Net CLV = gross CLV × margin rate. 6) Compare with your CAC to get the CLV/CAC ratio.
Why is the CLV/CAC ratio so important?
The CLV/CAC ratio measures the profitability of your customer acquisition. A ratio of 3:1 means each euro invested in acquisition generates 3€ in margin over the customer's lifetime. Below 1:1, you're losing money. This ratio guides marketing budget decisions and is particularly important for investors evaluating business model scalability.
What are the 4 levers to increase CLV?
1) Increase average basket: upsell, cross-sell, bundles, progressive pricing. 2) Increase purchase frequency: email marketing, retargeting, loyalty programs, subscriptions. 3) Extend customer lifespan: onboarding, proactive support, anti-churn programs. 4) Improve margin: cost optimization, supplier negotiation, automation.
What is the difference between predictive and historical CLV?
Historical CLV calculates the actual value generated by a customer based on past transactions. Predictive CLV projects future value using statistical models (averages, cohorts, or probabilistic models like BG/NBD). Predictive CLV is more useful for strategic decisions as it incorporates expected future behavior.