LTV Calculator – Calculate Customer Lifetime Value Instantly
Use our free LTV Calculator to measure customer lifetime value for your subscription or e-commerce business. Enter AOV, purchase frequency, and customer lifespan – get instant LTV. No signup required.
You know how much it costs to acquire a customer. But do you know how much that customer is really worth over time? Our free LTV Calculator (Customer Lifetime Value) tells you the total revenue you can expect from a single customer throughout your entire relationship. Knowing your LTV helps you set acquisition budgets, predict revenue, and build a sustainable business. Stop guessing – start measuring true customer value.
Free Customer Lifetime Value (LTV) Calculator Tool
💎 LTV Calculator
Calculate your Customer Lifetime Value
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How to Use This LTV Calculator
Follow these simple steps to calculate customer lifetime value in seconds:
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Enter your Average Order Value (AOV) – how much a customer spends per transaction
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Enter your Purchase Frequency – how many times a customer buys per year
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Enter your Customer Lifespan – how many years a customer stays active
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(Optional) Enter your Gross Margin % for net profit LTV
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Click “Calculate LTV”
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See your customer lifetime value instantly
Example: If your average order value is 50, customers buy 4 times per year,and stay for 3 years, your LTV is 50, customers buy 4 time speryear, and stay for 3 years, your LTV is 600 – meaning each customer is worth $600 in total revenue over their lifetime.
LTV Formula & Calculation Example
Understanding the formula helps you forecast revenue and set acquisition budgets.
Standard LTV Formula (Revenue-Based):
LTV ($) = Average Order Value (AOV) × Purchase Frequency × Customer Lifespan
Net LTV Formula (Profit-Based):
Net LTV = (AOV × Gross Margin %) × Purchase Frequency × Customer Lifespan
Real-Life Example Table:
| Business Type | AOV | Frequency (per year) | Lifespan (years) | LTV (Revenue) | Gross Margin | Net LTV (Profit) |
|---|---|---|---|---|---|---|
| E-commerce Store | $60 | 3x | 2 | $360 | 40% | $144 |
| SaaS (Monthly) | $50/month | 12x | 3 | $1,800 | 75% | $1,350 |
| Coffee Shop | $8 | 50x | 5 | $2,000 | 60% | $1,200 |
| Mobile App (Sub) | $10/month | 12x | 2 | $240 | 80% | $192 |
| B2B Agency | $5,000 | 1x | 4 | $20,000 | 50% | $10,000 |
| Online Course | $300 | 1x | 1 | $300 | 70% | $210 |
| Gym Membership | $50/month | 12x | 2 | $1,200 | 65% | $780 |
A higher LTV means more value from each customer – you can afford to spend more to acquire them.
What Is a Good LTV?
A “good” LTV varies dramatically by industry, business model, and pricing. Use these benchmarks:
| Industry | Average LTV | Good LTV | Excellent LTV |
|---|---|---|---|
| E-commerce (General) | 100–100–300 | 300–300–600 | $600+ |
| Fashion & Apparel | 150–150–400 | 400–400–700 | $700+ |
| Consumer Electronics | 200–200–500 | 500–500–800 | $800+ |
| Health & Beauty | 150–150–350 | 350–350–600 | $600+ |
| Home & Furniture | 300–300–800 | 800–800–1,500 | $1,500+ |
| SaaS (B2B) | 5,000–5,000–25,000 | 25,000–25,000–50,000 | $50,000+ |
| SaaS (B2C) | 200–200–800 | 800–800–1,500 | $1,500+ |
| Subscription Boxes | 200–200–500 | 500–500–1,000 | $1,000+ |
| Financial Services | 1,000–1,000–5,000 | 5,000–5,000–15,000 | $15,000+ |
| Insurance | 2,000–2,000–10,000 | 10,000–10,000–25,000 | $25,000+ |
| Real Estate (Agent) | 5,000–5,000–15,000 | 15,000–15,000–30,000 | $30,000+ |
| B2B Services | 10,000–10,000–50,000 | 50,000–50,000–100,000 | $100,000+ |
| Online Education | 200–200–600 | 600–600–1,200 | $1,200+ |
| Mobile Apps (Freemium) | 10–10–50 | 50–50–150 | $150+ |
| Telecom & Cable | 1,000–1,000–3,000 | 3,000–3,000–6,000 | $6,000+ |
Important: Always compare LTV to CAC. LTV alone doesn’t tell you profitability.
LTV to CAC Ratio: The Most Important Metric
The relationship between LTV and CAC determines your business health and ability to scale.
The Golden Rule: LTV should be at least 3x CAC
| LTV : CAC Ratio | Meaning | Action |
|---|---|---|
| Less than 1:1 | You lose money on every customer | Stop acquiring – fix immediately |
| 1:1 to 2:1 | Break-even or low profit | Improve retention or lower CAC |
| 2:1 to 3:1 | Acceptable for new businesses | Optimize both metrics |
| 3:1 to 5:1 | Healthy business | Good – maintain and scale |
| 5:1+ | Excellent – but watch for under-investment | You can likely spend more to grow faster |
Example Calculation:
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LTV = $600
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CAC = $150
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LTV:CAC Ratio = 4:1 → Very Healthy
Example Problem:
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LTV = $300
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CAC = $200
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LTV:CAC Ratio = 1.5:1 → At risk – improve LTV or lower CAC
Maximum Recommended CAC Formula:
Max CAC = LTV ÷ 3
Example: If LTV = 900,don′tspendmorethan900,don′tspendmorethan300 to acquire a customer.
Why Use Our LTV Calculator?
Here’s why founders, marketers, and investors trust our free tool:
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100% Free – No signup, no credit card, no email required
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Instant Results – Calculate in seconds, no page refresh
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Multiple Formulas – Revenue LTV and Net (profit) LTV
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Mobile Friendly – Use while reviewing your financials
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Unlimited Calculations – Test different scenarios (improving retention, raising prices)
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Actionable Insights – See max recommended CAC automatically
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No Ads or Popups – Just a clean, useful tool
Factors That Affect Your LTV
Your LTV isn’t fixed. These factors directly impact how much value you extract from each customer:
| Factor | Impact on LTV |
|---|---|
| Customer Retention | The #1 factor – keeping customers longer multiplies LTV |
| Average Order Value | Higher AOV = higher LTV (but watch price sensitivity) |
| Purchase Frequency | More frequent purchases = higher LTV |
| Gross Margin | Higher margin = higher net LTV |
| Onboarding Quality | Better onboarding = higher retention |
| Customer Support | Good support = longer customer lifespan |
| Product Quality | Better product = repeat purchases + referrals |
| Loyalty Programs | Effective rewards = higher frequency + lifespan |
| Cross-Selling & Upselling | More products per customer = higher AOV |
| Pricing Strategy | Optimal pricing balances AOV and retention |
How to Increase LTV
Low LTV? Try these proven strategies to get more value from each customer:
1. Improve Customer Retention
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Send regular engagement emails
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Offer loyalty rewards
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Proactive customer support
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Result: 20% – 100% higher LTV (doubling retention doubles LTV)
2. Increase Average Order Value
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Bundle products
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Offer upsells and cross-sells
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Free shipping thresholds
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Result: 10% – 30% higher LTV
3. Boost Purchase Frequency
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Subscription or auto-replenishment options
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Post-purchase follow-ups
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Seasonal promotions for repeat buyers
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Result: 15% – 40% higher LTV
4. Improve Gross Margin
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Negotiate with suppliers
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Reduce operational costs
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Optimize pricing
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Result: Higher net LTV without changing revenue
5. Launch a Loyalty Program
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Points for purchases
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VIP tiers with exclusive benefits
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Referral rewards
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Result: 10% – 25% higher LTV
6. Implement Post-Purchase Sequences
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Thank you emails
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Product usage tips
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Re-engagement campaigns for inactive users
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Result: 15% – 30% higher retention
7. Reduce Churn (Especially for Subscriptions)
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Understand why customers leave (exit surveys)
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Win-back campaigns for canceled users
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Flexible plans (pause, downgrade)
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Result: 20% – 50% higher LTV
LTV for Different Business Models
How you calculate LTV depends on your business model:
E-commerce / DTC
LTV = AOV × Annual Purchase Frequency × Average Customer Lifespan (years)
Example: AOV 60×3purchases/year×2years=60×3purchases/year×2years=360 LTV
SaaS (Subscription)
LTV = Average Monthly Revenue Per Customer (ARPU) × Gross Margin % × (1 ÷ Monthly Churn Rate)
Example: ARPU $50, Gross Margin 80%, Monthly Churn 3% (0.03)
LTV = $50 × 0.80 × (1 ÷ 0.03) = $50 × 0.80 × 33.33 = $1,333
Simplified SaaS LTV Formula (Revenue):
LTV = Average Monthly Revenue Per Customer ÷ Monthly Churn Rate
Mobile Apps (Freemium)
LTV (Paying User) = Average Revenue Per Paying User (ARPPU) × Customer Lifespan
Note: Free users have low LTV (ad revenue only)
Marketplace (e.g., Airbnb, Uber)
LTV = Average Commission per Transaction × Transactions per Year × Customer Lifespan
LTV by Cohort: Advanced Analysis
Your overall LTV is an average. But different customer groups (cohorts) have different LTVs.
Common Cohorts to Track:
| Cohort | Why It Matters | Typical LTV Impact |
|---|---|---|
| Acquisition Channel | Facebook vs. Google vs. Referral | Referral often highest LTV |
| Acquisition Month | Seasonality effects | Q4 customers may have higher LTV |
| First Product Purchased | Entry product vs. premium | Premium buyers may have higher LTV |
| Customer Location | Geographic differences | Tier 1 cities vs. rural |
| Discount vs. Full Price | Promo buyers vs. full-price | Full-price often higher LTV |
Example LTV by Channel:
| Acquisition Channel | LTV | CAC | LTV:CAC |
|---|---|---|---|
| Google Ads | $400 | $100 | 4:1 |
| Facebook Ads | $350 | $90 | 3.9:1 |
| Referrals | $600 | $30 | 20:1 |
| Organic Search | $500 | $50 | 10:1 |
Insight: Referral customers are your most valuable – invest more in referral programs.
LTV vs. Other Metrics
| Metric | Formula | What It Measures | Best Used For |
|---|---|---|---|
| LTV | AOV × Frequency × Lifespan | Total customer value | Long-term planning |
| CAC | Sales & Marketing Costs ÷ New Customers | Cost to acquire a customer | Acquisition efficiency |
| LTV:CAC Ratio | LTV ÷ CAC | Unit economics health | Scalability assessment |
| CAC Payback Period | CAC ÷ Monthly Contribution | Months to recover CAC | Cash flow planning |
| AOV | Total Revenue ÷ Number of Orders | Average spend per purchase | Pricing & bundling |
| Churn Rate | Customers Lost ÷ Total Customers | Customer retention | LTV improvement |
| Gross Margin | (Revenue – COGS) ÷ Revenue | Profitability per sale | Net LTV calculation |
Key takeaway: LTV is your north star metric for sustainable growth. Everything else feeds into it.
How to Predict LTV for New Businesses
No historical data yet? Use these methods to estimate LTV:
Method 1: Analogous Businesses
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Find a similar business in your industry
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Use their published LTV as a benchmark
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Adjust for your pricing and margins
Method 2: Unit Economics Estimation
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Estimate AOV (your pricing)
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Estimate frequency (how often would YOU buy?)
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Estimate lifespan (optimistic, realistic, pessimistic)
Method 3: Early Customer Data
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After 30-90 days of sales
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Track repeat purchase rate for early customers
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Extrapolate based on industry averages
Method 4: Investor Benchmarks
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VCs often expect LTV:CAC of 3:1 or higher
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Work backward: If CAC is 100,LTVshouldbe100,LTVshouldbe300+
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Adjust based on your business stage
Early Stage LTV Template:
| Scenario | AOV | Frequency/Year | Lifespan | LTV |
|---|---|---|---|---|
| Pessimistic | $40 | 1x | 1 year | $40 |
| Realistic | $50 | 2x | 2 years | $200 |
| Optimistic | $60 | 3x | 3 years | $540 |
Common LTV Mistakes to Avoid
| Mistake | Problem | Solution |
|---|---|---|
| Using revenue, not profit | Overstates true customer value | Use net LTV (with margin) for acquisition decisions |
| Including non-paying users | Distorts true paying customer LTV | Separate free vs. paid LTV |
| Assuming infinite lifespan | Wildly overestimates LTV | Use historical retention data |
| Ignoring cohort differences | Averages hide problems | Calculate LTV by channel and cohort |
| Using LTV without CAC | Can’t assess profitability | Always compare LTV to CAC |
| Not updating LTV over time | Becomes inaccurate | Recalculate monthly or quarterly |
| Forgetting variable costs | Overstates net LTV | Include fulfillment, support, payment processing |
LTV by Retention Rate Table
For subscription businesses, retention directly drives LTV:
| Monthly Churn Rate | Average Customer Lifespan (months) | LTV (ARPU $50, 80% Margin) |
|---|---|---|
| 1% | 100 months (8.3 years) | $4,000 |
| 2% | 50 months (4.2 years) | $2,000 |
| 3% | 33 months (2.8 years) | $1,333 |
| 5% | 20 months (1.7 years) | $800 |
| 8% | 12.5 months (1 year) | $500 |
| 10% | 10 months | $400 |
Formula Used: Lifespan = 1 ÷ Monthly Churn Rate
Key insight: Reducing churn from 5% to 3% increases LTV by 66% (800→800→1,333)
Industry Benchmarks for Customer Lifespan
| Industry | Average Customer Lifespan |
|---|---|
| E-commerce (General) | 1.5 – 2.5 years |
| Fashion & Apparel | 1 – 2 years |
| SaaS (B2B) | 3 – 5 years |
| SaaS (B2C) | 1.5 – 2.5 years |
| Subscription Boxes | 6 – 12 months |
| Financial Services | 5 – 10 years |
| Insurance | 5 – 15 years |
| Mobile Apps | 6 – 18 months |
| Telecom | 3 – 5 years |
| Gym Memberships | 1 – 2 years |
Frequently Asked Questions
Q1: What is a good customer lifetime value?
A: There’s no universal number. A good LTV is one that’s at least 3x your CAC. For example, if your CAC is 100,agoodLTVis100,agoodLTVis300 or higher.
Q2: What’s the difference between LTV and CLV?
A: Nothing. CLV (Customer Lifetime Value) and LTV are the same metric. Some marketers use CLV, others use LTV.
Q3: How do I calculate LTV without customer lifespan data?
A: Use retention rate instead. For subscription: LTV = ARPU ÷ Monthly Churn Rate. For e-commerce: LTV = AOV × (1 + Repeat Purchase Rate) ÷ (1 – Repeat Purchase Rate)
Q4: How often should I calculate LTV?
A: Monthly for most businesses. Quarterly for longer sales cycles. Track trends over time – is LTV increasing or decreasing?
Q5: What is a good LTV:CAC ratio for a startup?
A: Early-stage startups can survive with 2:1 or 2.5:1. Aim for 3:1 within 12-18 months. Above 5:1 means you’re likely under-investing in growth.
Q6: Why is my LTV decreasing over time?
A: Possible reasons:
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Customer retention is dropping (higher churn)
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Average order value is declining
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Purchase frequency is decreasing
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You’re acquiring lower-quality customers (broader targeting)
Q7: Should I include refunds or cancellations in LTV?
A: Yes. Use net revenue after refunds and cancellations. Gross LTV is misleading.
Q8: How do I calculate LTV for a one-time purchase product?
A: LTV = AOV × (1 + Referral Value). Or simply: LTV = AOV if customers rarely buy again. Focus on increasing frequency.
Q9: What’s predictive LTV?
A: Predictive LTV uses machine learning to forecast future customer value based on early behaviors (e.g., first 30 days). Advanced – not needed for most small businesses.
Q10: How does LTV affect fundraising?
A: Investors love high LTV:CAC ratios. A 3:1+ ratio shows healthy unit economics. A 1:1 ratio shows you can’t scale profitably.
LTV Optimization Checklist
Use this checklist to audit and improve your LTV:
☐ Retention & Churn
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Do you know your monthly churn rate?
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Do you have a customer win-back campaign?
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Are you surveying canceled customers?
☐ Average Order Value
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Do you offer product bundles?
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Are upsells and cross-sells implemented?
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Do you have a free shipping threshold?
☐ Purchase Frequency
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Do you have post-purchase email sequences?
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Is there a subscription or auto-replenishment option?
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Do you offer loyalty rewards for repeat purchases?
☐ Profit Margins
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Do you know your gross margin by product?
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Can you reduce COGS (supplier negotiation)?
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Is pricing optimized (not leaving money on the table)?
☐ Onboarding & Experience
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Is your onboarding email sequence effective?
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Does your product deliver value quickly?
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Is customer support responsive and helpful?
☐ Cohort Analysis
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Do you track LTV by acquisition channel?
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Do you track LTV by customer segment?
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Are you investing more in high-LTV channels?
LTV by AOV and Frequency Matrix
Use this matrix to see how changes to AOV and frequency impact LTV (assuming 3-year lifespan):
| AOV \ Frequency | 1x / year | 2x / year | 4x / year | 6x / year |
|---|---|---|---|---|
| $25 | $75 | $150 | $300 | $450 |
| $50 | $150 | $300 | $600 | $900 |
| $75 | $225 | $450 | $900 | $1,350 |
| $100 | $300 | $600 | $1,200 | $1,800 |
| $150 | $450 | $900 | $1,800 | $2,700 |
Key insight: Doubling frequency has the same impact as doubling AOV. Attack both.
Ready to Increase Your LTV?
Now that you know your customer lifetime value, take action to maximize customer value:
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Download our free LTV Optimization Playbook – 30 proven retention tactics
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Read case studies – How brands increased LTV from 300to300to900
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Watch our free masterclass – Advanced LTV strategies for 2026
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Get a free retention audit – Our experts review your customer journey