Unit Economics Calculator
Unit economics = The profitability of a single customer or unit. This is the foundation of every sustainable business. If you lose money on each customer, you canβt grow your way to profitability.
Interactive Calculator
Unit Economics Calculator
Understand customer profitability with CAC, LTV, payback period, and cohort analysis. Essential for SaaS and all subscription businesses.
LTV / CAC Ratio
23.3x
Excellent - Very efficient model
CAC Payback Period
1.4 mo
β Excellent
Customer LTV
$116,667
Lifetime gross profit
Customer ROI
2233%
Return on acquisition cost
Customer Acquisition Cost (CAC)
Sales & Marketing Spend Γ· New Customers
$5,000
Sales & Marketing Spend:
$100,000
New Customers Acquired:
20
Cost per Customer:
$5,000
Customer Lifetime Value (LTV)
Gross Profit Γ Customer Lifetime
$116,667
Annual Revenue per Customer:
$60,000
Gross Margin:
70%
Annual Gross Profit:
$42,000
Customer Lifetime:
33.3 months (2.8 years)
Total Lifetime Value:
$116,667
LTV vs CAC Comparison
LTV / CAC Ratio
23.33x
Profit per Customer
$111,667
2233% ROI
CAC Payback Period
Time to recover acquisition cost
1.4 months
Monthly Revenue per Customer:
$5,000
Monthly Gross Profit:
$3,500
CAC to Recover:
$5,000
Payback Period:
1.4 months
Save Unit Economics
What Are Unit Economics?
Unit economics measure the profit/loss from acquiring and serving a single customer.
Core metrics:
- CAC (Customer Acquisition Cost) - What you spend to get a customer
- LTV (Lifetime Value) - Profit a customer generates over their lifetime
- LTV/CAC Ratio - How much value you get per dollar spent
- Payback Period - Time to recover acquisition cost
The fundamental question: Does each customer generate more value than they cost?
Customer Acquisition Cost (CAC)
The Formula
CAC = Total Sales & Marketing Spend Γ· Number of New Customers
Example:
- Sales & marketing spend: $100,000/month
- New customers acquired: 50
- CAC = $2,000 per customer
What to Include in CAC
Include ALL costs to acquire customers:
β Salaries & Commissions:
- Sales team salaries
- Marketing team salaries
- Sales commissions and bonuses
- Recruiter fees for sales hires
β Marketing Spend:
- Paid ads (Google, Facebook, LinkedIn)
- Content creation costs
- SEO tools and agencies
- Marketing automation software
β Events & Travel:
- Conferences and trade shows
- Sales team travel
- Demo equipment
β Tools & Software:
- CRM (Salesforce, HubSpot)
- Marketing tools (Marketo, Mailchimp)
- Analytics tools
β Donβt Include:
- Product development costs
- Customer success costs (those go in COGS)
- General overhead not directly tied to acquisition
CAC by Channel
Different channels have different CACs:
| Channel | Typical CAC | Best For |
|---|---|---|
| Organic search (SEO) | $50-500 | Long-term, scalable |
| Paid search (Google Ads) | $200-2,000 | Quick wins, high intent |
| Social media ads | $100-1,000 | Brand awareness, B2C |
| Content marketing | $100-800 | Thought leadership, B2B |
| Outbound sales | $1,000-10,000 | Enterprise, high-ticket |
| Referrals | $50-300 | Best ROI, but limited scale |
Key insight: Blended CAC (average across all channels) is what matters, but track by channel to optimize spend.
Lifetime Value (LTV)
The Formula
LTV = Average Revenue per Customer Γ Gross Margin Γ Customer Lifetime
Or more precisely:
LTV = (ARPU Γ Gross Margin) Γ· Monthly Churn Rate
Example:
- Annual revenue per customer: $12,000
- Gross margin: 70%
- Customer lifetime: 3 years
- LTV = 25,200
Understanding Gross Margin
Gross Margin = Revenue - Direct Costs (COGS)
Direct costs include:
- Hosting / infrastructure (AWS, servers)
- Customer support costs
- Product-specific costs
- Payment processing fees
Donβt include:
- Sales & marketing (thatβs CAC)
- R&D / product development
- General overhead
SaaS gross margins: Typically 70-85% E-commerce gross margins: Typically 30-50%
Customer Lifetime Calculation
Two methods:
Method 1: From Churn Rate
Customer Lifetime (months) = 1 Γ· Monthly Churn Rate
Example:
- 3% monthly churn β Lifetime = 1 / 0.03 = 33 months
Method 2: Historical Data
- Track actual cohorts
- See how long customers really stay
- More accurate but requires data
Increasing LTV
Four ways to increase LTV:
- Increase pricing - Most direct, immediate impact
- Upsell/cross-sell - Expand revenue per customer
- Reduce churn - Customers stay longer
- Improve gross margins - More profit per dollar
Example impact:
- Base: 126k LTV
- +10% pricing: 138.6k LTV** (+10%)
- -1% monthly churn: 3.8yr lifetime β $159.6k LTV (+27%)
Reducing churn has outsized impact!
LTV / CAC Ratio
The Golden Rule
LTV / CAC Ratio = Lifetime Value Γ· Customer Acquisition Cost
Benchmarks:
- Under 1x - Losing money on each customer (unsustainable)
- 1-2x - Break-even to barely profitable
- 3x - Good, healthy business β
- 4x+ - Excellent, scale aggressively ββ
Why 3x minimum?
- CAC only includes sales/marketing, not all costs
- Need cushion for other expenses (R&D, admin, etc.)
- Need profit margin for the business
What Investors Look For
| Stage | Acceptable LTV/CAC |
|---|---|
| Pre-product/market fit | Any (still figuring it out) |
| Early traction | 2x minimum |
| Growth stage | 3x+ required |
| Scale stage | 4x+ for aggressive scaling |
Red flag: LTV/CAC under 1x for over 6 months with no path to improvement.
Real Examples
Example 1: Healthy SaaS
- CAC: $3,000
- LTV: $15,000
- Ratio: 5x ββ
- Status: Excellent - can scale aggressively
Example 2: Struggling Startup
- CAC: $8,000
- LTV: $6,000
- Ratio: 0.75x β
- Status: Losing $2,000 per customer - unsustainable
CAC Payback Period
The Formula
Payback Period (months) = CAC Γ· (Monthly Revenue Γ Gross Margin)
Example:
- CAC: $6,000
- Monthly revenue per customer: $500
- Gross margin: 80%
- Monthly gross profit: $400
- Payback = 400 = 15 months
Why Payback Matters
Cash flow impact:
- You spend CAC upfront
- You collect revenue over time
- Until payback, each new customer burns cash
Example:
- Acquire 100 customers/month
- CAC: $5,000 each
- Payback: 12 months
- Cash needed: $5M (before revenue offsets it)
Fast payback = less cash needed to grow.
Benchmarks
| Payback Period | Rating | Scalability |
|---|---|---|
| Under 12 months | Excellent ββ | Can scale aggressively |
| 12-18 months | Good β | Can scale with capital |
| 18-24 months | Fair | Slow, capital-intensive |
| Over 24 months | Poor | Very hard to scale |
B2C vs B2B:
- B2C SaaS: Target under 12 months
- B2B SaaS: 12-18 months acceptable
- Enterprise: 18-24 months may be okay (high LTV)
Improving Payback
Three levers:
- Reduce CAC - More efficient marketing
- Increase pricing - More revenue per month
- Charge upfront - Annual contracts instead of monthly
Example:
- Monthly: $100/month β 60 month payback
- Annual: $1,000/year upfront β 6 month payback
Annual pricing dramatically improves cash flow!
Churn Rate & Retention
Calculating Churn
Monthly Churn Rate = Customers Lost This Month Γ· Customers at Start of Month
Example:
- Start of month: 1,000 customers
- Lost: 30 customers
- Monthly churn: 3%
- Annual churn: 31% (not 36% - compounds)
Churn Benchmarks
| Business Type | Good Churn | Average Churn | Poor Churn |
|---|---|---|---|
| B2B SaaS (Enterprise) | Under 1%/mo | 1-2%/mo | Over 3%/mo |
| B2B SaaS (SMB) | Under 2%/mo | 2-5%/mo | Over 5%/mo |
| B2C SaaS | Under 5%/mo | 5-7%/mo | Over 10%/mo |
| E-commerce | N/A | 60-70% annual | Over 80% annual |
The Compound Impact of Churn
3% monthly churn:
- Month 12: 69% of customers remain
- Month 24: 48% remain
- Month 36: 33% remain
2% monthly churn:
- Month 12: 78% remain (13% better!)
- Month 24: 62% remain (29% better!)
- Month 36: 49% remain (48% better!)
Small improvements compound dramatically!
Negative Churn
Best case: Negative net revenue churn
When expansion revenue (upsells) exceeds lost revenue from churn:
- Churn: Lose $10k/month
- Upsells: Gain $15k/month
- Net: -$5k churn (revenue growing!)
Companies with negative churn can grow without new customers.
Cohort Analysis
What Is Cohort Analysis?
Track groups of customers from acquisition through their lifetime.
Example: January 2024 Cohort
- 100 customers acquired
- Track revenue/retention month-by-month
- See exactly how profitable this group is
Why Cohorts Matter
Average metrics lie:
- Overall churn might look good
- But recent cohorts could be worse
- Cohorts show trends over time
Example scenario:
- Overall churn: 3%
- 2023 cohorts: 2% churn β
- 2024 cohorts: 5% churn β
- Problem hidden in averages!
Key Cohort Metrics
Month 0: Acquisition
- Customers: 100
- CAC: $5,000 each
- Total spend: $500k
Month 6:
- Remaining: 85 customers
- Cumulative revenue: $300k
- Cumulative profit: $210k
- Status: Not yet profitable (under $500k)
Month 12:
- Remaining: 72 customers
- Cumulative revenue: $600k
- Cumulative profit: $420k
- Status: Not yet recovered CAC
Month 18:
- Remaining: 61 customers
- Cumulative revenue: $900k
- Cumulative profit: $630k
- Status: Profitable! (exceeded $500k CAC)
Payback: 18 months for this cohort.
Improving Unit Economics
Strategy 1: Reduce CAC
Tactics:
- Focus on highest-ROI channels (cut underperformers)
- Improve conversion rates (better landing pages, sales process)
- Leverage lower-cost channels (SEO, referrals, content)
- Optimize sales team efficiency
Example:
- Current: $5k CAC across all channels
- Cut worst channels, focus on best
- New CAC: $3.5k (-30%)
- Impact: LTV/CAC from 3x to 4.3x
Strategy 2: Increase Pricing
Why pricing is powerful:
- Immediate impact (next month)
- 10% price increase = 10% LTV increase
- Often less pushback than expected
Example:
- Current: $1,000/year, 70% margin, 3yr lifetime
- LTV: $2,100
- Raise to $1,200/year (+20%)
- New LTV: $2,520 (+20%)
Caution: Test with new customers first, grandfather existing.
Strategy 3: Reduce Churn
Highest leverage but hardest:
- Product improvements (reduce why they leave)
- Better onboarding (get to value faster)
- Proactive customer success (prevent churn)
- Annual contracts (lock in commitment)
Example:
- 5% monthly churn β 20 month lifetime
- Reduce to 3% β 33 month lifetime (+65%!)
- LTV increases 65% with same revenue/margins
Strategy 4: Upsells & Expansion
Add revenue without acquisition cost:
- Additional features/seats
- Higher-tier plans
- Cross-sell related products
- Usage-based expansion
Example:
- Base: $1k/year per customer
- 30% of customers upsell to $2k/year in year 2
- Average revenue: $1.3k/year (+30%)
- LTV increases 30% with no CAC change
Common Mistakes
Mistake 1: Not Tracking Unit Economics
β βWeβll figure it out when weβre biggerβ
β Track from day 1. You need to know if your model works.
Mistake 2: Using Revenue Instead of Gross Profit
β CAC: 10k, Ratio: 5x (wrong!)
β With 60% margin, Profit LTV: $6k, Ratio: 3x (correct)
Mistake 3: Ignoring Cohort Differences
β βOur churn is 3%β (mixing old and new cohorts)
β Track cohorts separately - trends matter
Mistake 4: Optimizing for One Metric
β βLetβs get LTV/CAC to 10x!β (by spending nothing on acquisition)
β Balance: Good economics + reasonable growth rate
Mistake 5: Not Including All CAC Costs
β Only counting ad spend ($50k)
β Include salaries, tools, events ($200k total) - real CAC is 4x higher!
Unit Economics by Business Model
B2B SaaS (SMB)
Typical metrics:
- ACV: $5k-50k
- CAC: $2k-10k
- LTV/CAC: 3-5x
- Payback: 12-18 months
- Churn: 2-5% monthly
- Gross margin: 75-85%
Key challenge: High churn in SMB segment
B2B SaaS (Enterprise)
Typical metrics:
- ACV: $50k-500k+
- CAC: $10k-100k+
- LTV/CAC: 3-6x
- Payback: 12-24 months
- Churn: Under 2% monthly
- Gross margin: 70-80%
Key advantage: Very low churn, high LTV
B2C SaaS / Consumer
Typical metrics:
- ACV: $100-500
- CAC: $30-200
- LTV/CAC: 3-5x
- Payback: 6-12 months
- Churn: 5-10% monthly
- Gross margin: 60-75%
Key challenge: High churn requires constant acquisition
E-commerce / DTC
Typical metrics:
- AOV: $50-200
- CAC: $20-80
- LTV/CAC: 2-4x
- Payback: 3-9 months
- Repeat rate: 20-40%
- Gross margin: 30-50%
Different model: Focus on repeat purchases, not subscription
Real Examples
Example 1: Slack (Success Story)
Early days metrics (estimated):
- CAC: ~$1,000 (low! mostly organic growth)
- Annual revenue: $100/user
- Gross margin: 80%
- Customer lifetime: 5+ years
- LTV: $400+
- LTV/CAC: 40x+
Why so good? Viral/organic growth, very low CAC.
Example 2: Blue Apron (Struggled)
Peak metrics:
- CAC: $94
- Average order: $58
- Orders per customer: 4-5
- LTV: $250-290
- LTV/CAC: 2.7-3.1x
Barely profitable per customer, thin margins, high churn made scaling difficult.
Example 3: Netflix (Improved Over Time)
2010s:
- CAC: $50-70 (efficient content marketing)
- Monthly revenue: $10
- Customer lifetime: 3-5 years
- LTV: $360-600
- LTV/CAC: 5-12x
Improved over time as brand strengthened and churn dropped.
Key Takeaways
-
Unit economics must work - Canβt grow into profitability if you lose money per customer
-
Target 3x+ LTV/CAC ratio - Minimum for healthy, scalable business
-
Payback under 12-18 months - Faster payback = easier to scale
-
Churn is the silent killer - Small improvements have huge compounding impact
-
Track cohorts, not just averages - See trends and act early
-
Gross margin matters - Use profit, not revenue, for LTV calculation
-
Four ways to improve:
- Reduce CAC (more efficient acquisition)
- Increase pricing (more revenue)
- Reduce churn (longer lifetime)
- Expand revenue (upsells)
-
Balance economics and growth - Donβt sacrifice growth for perfect ratios
Further Resources
- βUnit Economicsβ by David Skok (For Entrepreneurs)
- OpenViewβs SaaS Benchmarks Report - Industry data
- βThe SaaS CFOβ by Ben Murray - Financial modeling
- ChartMogul - Cohort analysis tool
- ProfitWell - Unit economics tracking
Understanding your unit economics is the foundation of building a sustainable, scalable business. Use this calculator to model different scenarios and find the path to profitability.