Calculate LTV, CAC, LTV:CAC ratio, and growth projections for your SaaS business.
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Unit economics are the financial metrics of serving a single customer over their lifetime. They answer:"How much profit do we make from each customer after accounting for acquisition, service delivery, and retention?"
This is different from revenue metrics (total ARR) or operational metrics (burn rate). Unit economics zoom into the fundamental economics of your business model.
For SaaS, the three critical unit economics are:
1. LTV (Lifetime Value): Total profit you expect from a single customer over their entire relationship with you
2. CAC (Customer Acquisition Cost): How much you spend to acquire that single customer (including all marketing, sales, commissions)
3. CAC Payback Period: How many months it takes for the gross profit from a customer to exceed the acquisition cost
These three metrics determine whether your business model is sustainable. You can have $10M in ARR and still go bankrupt if your LTV:CAC ratio is 1:1.
The LTV formula is deceptively simple, but there are hidden complexities:
Simple Formula: LTV = (ARPU × Gross Margin) ÷ Monthly Churn Rate
Example:
• ARPU: $150/month
• Gross Margin: 75% (75% of revenue is profit after direct costs)
• Monthly Churn: 2%
LTV = ($150 × 0.75) ÷ 0.02 = $112.50 ÷ 0.02 = $5,625
This means each customer generates an expected $5,625 in gross profit over their lifetime.
Advanced Formula (With Time Value of Money):
The simple formula doesn't account for the time value of money (cash received in month 1 is more valuable than cash in month 50). The more precise formula is:
LTV = (ARPU × Gross Margin) × (1 ÷ (Monthly Churn + Discount Rate))
Where discount rate is typically 10% annually (~0.83% monthly). This gives you the present value of LTV, which is more economically accurate.
Using the example above with 10% discount rate:
LTV = ($150 × 0.75) × (1 ÷ (0.02 + 0.0083)) = $112.50 ÷ 0.0283 = $3,976
This adjusted LTV is lower than the simple calculation because it accounts for the delay in receiving cash. In venture capital, this discounted LTV is more relevant.
Notice that LTV is inversely proportional to churn rate. Small changes in churn have enormous impacts on lifetime value:
Keeping ARPU at $150 and Gross Margin at 75%:
• 5% monthly churn: LTV = $112.50 ÷ 0.05 = $2,250
• 3% monthly churn: LTV = $112.50 ÷ 0.03 = $3,750
• 2% monthly churn: LTV = $112.50 ÷ 0.02 = $5,625
• 1% monthly churn: LTV = $112.50 ÷ 0.01 = $11,250
• 0.5% monthly churn: LTV = $112.50 ÷ 0.005 = $22,500
Going from 5% to 2% churn (4% improvement) nearly triples LTV. This is why SaaS companies obsess over retention and churn metrics—a 1% improvement in churn multiplies lifetime value.
Industry benchmarks:
• B2C SaaS (low ARPU): 5-10% monthly churn is typical, 2-3% is excellent
• B2B SMB SaaS: 2-5% monthly churn, 1-2% is excellent
• Mid-market B2B: 1-2% monthly churn, 0.5-1% is excellent
• Enterprise: 0.5-1% monthly churn, under 0.5% is excellent
CAC seems straightforward—total marketing/sales spend divided by customers acquired. But it's easy to under-count:
What counts toward CAC:
• Direct advertising spend (Google Ads, LinkedIn, Facebook)
• Marketing team salaries (amortized)
• Sales team salaries and commissions
• Tools and software (marketing automation, CRM)
• Events and sponsorships
• Content creation (blog, webinars)
• Referral commissions and bounties
What doesn't count (common mistake):
• Customer support costs (included in COGS, not CAC)
• Product development (this is below the line, not an acquisition cost)
• Hosting/infrastructure (part of COGS)
• Finance/HR overhead (SG&A, not CAC)
Scenario: $100K/month marketing spend**
• 500 customers acquired this month
• CAC = $100,000 ÷ 500 = $200/customer
This is a blended CAC across all channels. Some channels might be $50 CAC (organic/referral), others $400 CAC (enterprise sales). Sophisticated SaaS companies track CAC by channel and customer segment.
The LTV:CAC ratio determines how healthy your unit economics are:
LTV:CAC < 1.5:1
Essentially unprofitable. Every customer you acquire costs more than they generate. You're losing money on each sale. Unsustainable unless you have a path to improve it.
LTV:CAC 1.5-3:1
Marginal. You're making some profit on each customer, but barely. This works with high growth (borrowing from future profits), but doesn't work at scale or maturity.
LTV:CAC 3-5:1
Healthy. This is the target range for venture-backed SaaS. You're making $3-5 in profit for every $1 spent on acquisition. Sustainable and scalable.
LTV:CAC 5:1+
Excellent. You have so much profit per customer that you can afford to spend heavily on growth and still maintain a healthy business. This is what Tesla, Notion, Figma achieved at scale.
Most venture-backed SaaS companies operate with 3-5:1 ratios early on and improve to 5:1+ as they mature (churn improves, ARPU grows, CAC drops through efficiency).
CAC payback is simpler and often more actionable than LTV:CAC ratio. It answers:"In how many months does a customer generate enough gross profit to cover acquisition cost?"
Formula: CAC Payback = CAC ÷ Monthly Gross Profit per Customer
Example:
• CAC: $1,500
• ARPU: $150/month
• Gross Margin: 75%
• Monthly Gross Profit = $150 × 0.75 = $112.50
• Payback = $1,500 ÷ $112.50 = 13.3 months
This customer pays back their acquisition cost in 13.3 months. After that, they're pure profit.
What's"Good"?
• B2C SaaS: Under 12 months payback is good
• B2B SMB: Under 18 months is good
• Mid-market B2B: Under 18-24 months is acceptable
• Enterprise: Can go up to 24-36 months, but pushing it
Why these thresholds? Because if payback is 24 months, you may want to be cash-flow positive from day one or have enough runway to survive until customers mature. Most SaaS companies don't have this luxury.
Mistake 1: Including One-Time Setup Costs in CAC
Some founders count product onboarding costs as part of CAC. No. Onboarding is a customer success cost (included in COGS), not acquisition. CAC is purely the cost to convince someone to buy.
Mistake 2: Ignoring Channel-Specific CAC
Blending organic referral (CAC ~$0) with enterprise sales (CAC $10,000+) obscures the true unit economics. Analyze CAC separately by channel so you know which channels are actually profitable.
Mistake 3: Assuming CAC Stays Constant
Early customers (friends and family) have $0 CAC. As you scale, CAC increases (you've exhausted warm channels). Your early 3-year unit economics are artificially good. Assume CAC will increase 2-5x as you scale.
Mistake 4: Forgetting Cohort Analysis**
Churn varies dramatically by cohort. Early customers might have 0.5% monthly churn, but new customers from a new campaign might have 10% churn. Your blended LTV hides this risk.
Mistake 5: Not Tracking Gross Margin Accurately
Many SaaS founders estimate 80% gross margin but don't include all COGS. Full COGS includes: hosting, support, payment processing (2-3%), refunds, infrastructure. Many hit 60-70% in practice, not 80%.
Unit economics inform strategy:
If LTV:CAC is 2:1 (Too low):
Option 1: Improve retention (reduce churn). Invest in product, customer success.
Option 2: Increase ARPU through upsells, premium plans, expansion revenue.
Option 3: Reduce CAC by improving organic/referral channels.
Option 4: Don't scale—this business model isn't ready.
If CAC payback is 30+ months:**
Either you're selling to enterprise (accept it) or your CAC is too high (optimize channels). If it's your CAC, shift budget to organic, partner channels, community building.
If churn is above benchmarks:**
Fix retention before scaling acquisition. Scaling with high churn is throwing money away. Invest in product, feature velocity, customer success.
Monthly, minimum. I recommend weekly if you're early stage and changing your go-to-market. Your LTV and CAC metrics evolve as you improve retention, raise ARPU, and optimize channels.
Absolutely. Enterprise vs SMB customers have wildly different economics. Separate your analysis by customer segment so you know which segments are actually profitable.
Use 10% annually (~0.83% monthly) for most SaaS. This reflects the time value of money and opportunity cost of capital. Venture investors often use 20-40% for early-stage SaaS to be conservative.
If your average customer expands from $150 to $200/month after 12 months, use $175 as your average ARPU in LTV calculations. Or, more precisely, model out ARPU by cohort over time.
No. CAC is purely the cost to acquire the customer (pre-purchase). Support costs are part of COGS. Service cost ratio is calculated separately: (Support + CS ÷ Revenue) is typically 5-15% for healthy SaaS.
Not all improvements are equal. Here's the ROI ranking:
Tier 1: Reduce Churn (Highest ROI)
Reducing monthly churn from 3% to 2% (1% improvement) roughly doubles LTV. This is exponential—small improvements compound enormously over time. A 1% churn reduction might cost $50k (engineering, CS hiring) but adds $500k+ in annual customer lifetime value. Easy 10:1 ROI.
Tier 2: Increase ARPU (High ROI)
Increasing ARPU from $150 to $165 (10% increase) increases LTV by 10%. This is linear and sustainable if driven by feature value, not price hikes. Adding an integrations tier or premium feature can drive 15-20% ARPU increases. Also high ROI—engineering effort to build features often outputs to revenue quickly.
Tier 3: Reduce CAC (Medium ROI)
Reducing CAC from $1,500 to $1,200 (20% reduction) requires optimizing channels or improving conversion rates. This is important but often slower to iterate than the above two. Good for mature companies, medium-priority for startups.
Tier 4: Increase Gross Margin (Low ROI for most SaaS)
SaaS gross margins are already 70-80%+. Tiny improvements here often cost more engineering effort than they're worth. Skip this until you're at scale.
The mistake most founders make: They optimize Tier 4 (reduce infrastructure costs by 2%), skip Tier 1 (which would 5x LTV), and wonder why their unit economics don't improve.
Reduce Involuntary Churn First (2-4 weeks to execute):
Before fixing feature gaps, fix billing. Involuntary churn (credit card declines, failed payments) accounts for 5-20% of total churn. Most SaaS companies leave money on the table here.
• Use a smart retry service (Stripe Billing, Braintree, Zuora). Retry failed cards on a schedule (day 1, 3, 5, 10). Recovers 20-40% of failed payments.
• Send payment failure emails with easy retry links. Many users don't notice the failure and will re-enter payment info immediately.
• Offer multiple payment methods (card, ACH, wire for enterprise). Some users have one method work, another fail.
Low-cost impact: Typically recover 3-7% of churn immediately.
Improve Onboarding (2-8 weeks):
Customers who don't activate in the first week have 10x higher churn. A strong onboarding experience is the highest-leverage churn reduction.
• Measure time-to-first-value (TTFV): How long until users perform their first meaningful action? Target under 5 minutes for self-serve, under 1 week for enterprise.
• Simplify signup: Reduce fields, use social login, auto-populate profile from OAuth.
• Create onboarding flows: Walkthrough, tooltips, empty states that guide users to their first success.
• Offer office hours or 1:1 onboarding for high-value segments (target top 20% of accounts). Cost is high but retention ROI pays for itself in LTV delta.
Expected impact: 1-2% churn reduction.
Build Habit-Forming Features (4-12 weeks):
Customers who use your product weekly churn at 0.5-1%. Customers who use monthly churn at 5-10%. Daily activation is the retention grail.
• Track usage patterns. Which features do retained customers use? Which customers never use the core feature?
• Send re-engagement emails to inactive users (after 7 days no login). Personalize based on their usage pattern.
• Create notifications: In-app alerts for new features, opportunities, or social activity ("3 teammates shared feedback on your project"). This increases engagement loops.
• Gamify if appropriate: Streaks, progress bars, badges for habit-forming products (Duolingo, Strava style).
Expected impact: 0.5-1.5% churn reduction.
Establish a Win/Loss Program (Ongoing):
Talk to customers who cancel. You'll find patterns.
• Target: Understand why customers leave. In 10-20 interviews, patterns emerge (feature gap, pricing, poor onboarding, company pivot).
• If 30% of cancellations cite"missing feature X," building that feature ROI-positive immediately.
• If 40% of cancellations are price-sensitive, explore tiered pricing or freemium instead of trying to reduce costs.
Expected impact: Data-driven feature/product decisions that lower future churn by 0.5-2%.
Implement Tiered Pricing (Fast, 1-2 weeks):**
Most SaaS companies start with single-tier pricing and leave revenue on the table. Introduce tiers:
Tier 1 (Starter): $29/mo - Core features, 3 users, 1 project
Tier 2 (Professional): $99/mo - Advanced features, 10 users, 10 projects (most customers here)
Tier 3 (Enterprise): $299/mo+ - API, SSO, priority support, custom contracts
Most customers land in Professional tier, but some do upgrade to Enterprise (20-30% of accounts). Create visibility for upsell paths:
•"Upgrade to Professional" nudges when users hit limits (5th project, 5th teammate).
• Enterprise option visible in settings, but not pushed (self-selection).
Expected ARPU impact: 10-20% increase from upsell conversions. Some downgrade to Starter (1-3%), net is still strongly positive.
Introduce Add-Ons (2-4 weeks):
Offer optional features as add-ons:
• Advanced analytics: +$29/mo
• Priority support: +$49/mo
• Custom workflows/automation: +$79/mo
10-20% of customers add one or more add-ons. ARPU increases by 5-10% on average.
Expected impact: 5-10% ARPU increase.
Land-and-Expand Strategy (Ongoing):
Acquire customers at $30/mo Starter plan. Over 12 months, as they grow:
• Upgrade to Professional because they hit user limits: $99/mo
• Add analytics: +$29/mo
• Add priority support: +$49/mo
• Total by month 12: $177/mo vs $30/mo start
This strategy increases ARPU from expansion revenue. Expansion revenue often becomes the largest revenue component for mature SaaS (Slack, HubSpot generate 40%+ of growth from expansion).
Expected impact: 15-30% ARPU growth year-over-year from expansion.
Price Increase (Use Cautiously):
A 10% price increase sounds attractive (10% more ARPU, same churn hopefully). Reality: 2-5% of price-sensitive customers churn immediately. Net effect is often neutral or slightly positive.
If you may want to raise prices, grandfather existing customers and apply new pricing to new signups. You'll lose some upgrade upsell potential but retain loyalty. Existing customer churn typically drops 50% vs. forcing a price increase on everyone.
Expected impact: 5-8% net ARPU increase after churn adjustment.
Shift to Organic Channels (3-6 months to show ROI):
Paid ads have high CAC ($500-$2,000 for SaaS typically). Organic channels (content, referral, community) have 5-10x lower CAC.
Content Marketing: A blog post about"SaaS unit economics" attracts 200+ organic visitors/month. If 2% convert to trial, 5% of trials convert to paying: 2 customers/month. Over a year, 24 customers. If CAC paid ads is $1,500 and content CAC is $0 (it's already produced), that's massive CAC arbitrage.
Expected CAC: $100-300 after 6+ months. Takes patience.
Referral Program: Offer $100 credit to existing customers for each referral that becomes a paying customer. If 5% of customers make 1 referral/year, you acquire customers at $100 CAC (cost of referral credit).
CAC reduction: 50-70% compared to paid ads.
Community and Partnerships: Sponsor relevant communities, partner with complementary tools, create user groups. Low-cost, high-quality customers.
Expected CAC: $200-500.
Year 1 (Early Stage, Currently 2:1 ratio):
• Reduce churn: 4% → 2.5% (doubles LTV from $3,750 to $7,500)
• Increase ARPU: $150 → $165 (10% ARPU increase, further boosts LTV)
• Result: LTV improves from $3,750 to ~$9,075
• CAC: Stay at $1,500
• New ratio: 6:1 (now healthy!)
Year 2 (Growth Stage, currently 6:1):**
• Stabilize churn: 2.5% (locked in through strong product)
• Increase ARPU: $165 → $200 (20% expansion revenue)
• Reduce CAC: $1,500 → $1,200 (shifting to organic)
• Result: LTV ~$15,200
• New ratio: 12.7:1 (now excellent)
By improving churn first (exponential returns) and ARPU second (sustainable growth), you achieve world-class unit economics without burning cash on acquisition.
If your CAC is $1,500 and ARPU is $50/month, payback is 30 months (bad). If ARPU is $150/month, payback is 10 months (good). As a rule of thumb, your monthly ARPU should be 10-15% of your CAC. If not, either raise prices or lower CAC.
Reduce churn first. It's 5-10x higher ROI. A 1% churn reduction is worth 50+ new customers acquired at typical CAC. Once churn is under control (under 2% monthly for SMB SaaS), shift to growth.
12 months is good for B2C, 18 for B2B SMB, 24 for mid-market. If you're hitting 30+ months, either your CAC is too high or ARPU is too low. Fix one or both.
Cohort analysis. Compare monthly churn of users who used Feature X vs. those who didn't. If Feature X users churn at 1.5% and others at 3%, that feature is working. Iterate based on data.
CAC Payback Period answers:"How many months until a customer's gross profit exceeds the acquisition cost?"
Formula: CAC Payback = CAC ÷ Monthly Gross Profit per Customer
Example:
CAC: $1,500
ARPU: $150/month
Gross Margin: 75%
Monthly Gross Profit = $150 × 75% = $112.50
Payback = $1,500 ÷ $112.50 = 13.3 months
After 13.3 months, that customer becomes profitable. Before month 13, you're losing money on that customer (though the company as a whole may still grow and be valuable).
Why this metric matters: It determines how much cash you may want to survive while growing. If your payback is 24 months, you need enough cash to cover customer acquisition for 24 months before those customers start generating profit. That's a massive cash requirement.
B2C SaaS (Low ARPU, High Volume):
• Excellent: Under 6 months
• Good: 6-12 months
• Acceptable: 12-18 months
• Concerning: 18+ months
• Unsustainable: 24+ months (unless bootstrapped with low CAC)
Why short payback for B2C? Because you may want to grow fast to survive, and fast growth requires cash. A 24-month payback with 30% monthly growth is unsustainable without massive funding.
B2B SMB SaaS (Medium ARPU, Medium Sales Cycle):
• Excellent: 12-15 months
• Good: 15-18 months
• Acceptable: 18-24 months
• Concerning: 24+ months
Mid-Market B2B SaaS (High ARPU, Long Sales Cycle):
• Excellent: 18-24 months
• Good: 24-30 months
• Acceptable: 30-36 months
• Unsustainable: 36+ months (unless bootstrapped)
Enterprise SaaS has higher tolerance because ACV (Annual Contract Value) is so large that even 36-month payback is fine if the LTV is $100k+.
Here's why payback period is existential: It directly determines how much money you burn before profitability.
Scenario A: 12-Month Payback
Monthly customer acquisition: 50 customers at $1,500 CAC = $75,000/month CAC spend
After month 12, those first 50 customers generate $112.50 × 50 = $5,625/month gross profit. This covers part of your cash burn.
After month 24, you have 12 cohorts (1,200 total customers), each generating $5,625/month = $67,500/month gross profit. Nearly break-even!
Scenario B: 24-Month Payback
Same monthly acquisition: 50 customers at $3,000 CAC = $150,000/month CAC spend
After month 12, those first 50 customers generate only $3,000/month gross profit (not covering acquisition cost yet).
After month 24, 24 cohorts generate $72,000/month gross profit. Getting close to break-even but need more runway.
After month 36, 36 cohorts generate $108,000/month gross profit. Now generating positive cash.
The funding implications:**
Scenario A needs 14-18 months of runway to profitability (roughly $1.2-1.5M for $100k/month burn).
Scenario B needs 36+ months of runway (roughly $3.6-4.8M for same burn rate).
Scenario B needs 3x more funding than Scenario A for the same growth rate.
This is why investors obsess over payback period. It directly determines valuation, funding requirements, and probability of survival.
Payback period's impact on survival depends on growth rate.
High Growth (40% MoM):
Even a 24-month payback works if you're growing 40% month-over-month. Your older cohorts' profitability compounds faster than newer cohorts' acquisition costs. You can eventually cross to cash-flow positive.
Moderate Growth (15% MoM):
A 24-month payback is dangerous. Your growth rate is slow enough that acquisition costs don't compound fast enough to offset payback delays. Aim for 18-month payback or better.
Slow Growth (5% MoM):
A 24-month payback is a death sentence. You'll run out of cash before profitability. Reduce payback to 12 months or below, or don't scale.
Example: Negative Compounding**
Company A: 15% MoM growth, 24-month payback
Month 1: Acquire 100 customers at $1,500 CAC = $150k spend. Gross profit: $0.
Month 12: Acquire 405 customers (100 × 1.15^11). Payback still pending. Spend: $607k/month.
Month 24: First cohort now profitable! But acquisition cost has doubled ($300k/month). The time delay kills you—you burn runway before first profitability.
Lesson: With moderate growth, keep payback short or you'll deplete runway faster than profitability accrues.
Trap 1: Assuming All Cohorts Have Same Payback
Reality: Earlier cohorts might have $0 CAC (friends and family). Later cohorts have $2,000+ CAC (paid ads). Blended payback hides the truth that recent customers have much longer payback.
Solution: Calculate payback by cohort (acquisition month). Recent cohorts should look healthier than blended average as you optimize.
Trap 2: Not Accounting for Acquisition Mix Changes
Month 1-3 CAC: $500 (organic, referral)
Month 4-6 CAC: $1,500 (paid ads kick in)
Month 7-12 CAC: $2,500 (paid channels scaled, efficiency drops)
Your blended CAC ($1,500) hides that recent cohorts have 24-month payback, not 12. This is often the sign of unsustainable growth—you're acquiring fast, but efficiency is degrading.
Solution: Segment payback by acquisition channel. Know your paid vs. organic payback separately.
Trap 3: Forgetting Gross Margin Assumptions
Many founders assume 80% gross margin but hit 65% reality when accounting for support, refunds, and edge cases. A 15% margin error turns 12-month payback into 14 months. Compound across 24 months and it's significant.
Solution: Use conservative 60-65% gross margin assumptions. Revise upward if reality proves it.
Trap 4: Ignoring Cash vs. Profit Timing
Payback period assumes you receive payment at month 1. Reality: Annual plans might have payment up-front, but monthly plans have payment spread. If you acquire a customer who pays $50/month and you only receive payment weekly, your actual cash payback is different from accrual-based payback.
Solution: Use cash payback (when cash is actually received) not accrual payback for fundraising and runway calculations.
Increase Gross Margin Per Customer (High ROI):
Gross Margin = (ARPU - COGS) ÷ ARPU
COGS includes: hosting, payment processing, support, refunds.
To improve:
• Reduce hosting costs (optimize infrastructure, move to cheaper regions)
• Reduce payment processing fees (negotiate with processor, use cheaper options for certain regions)
• Reduce support costs (improve product UX to reduce support tickets, use automation)
• Reduce refund rate (improve quality, better expectations setting)
Improving gross margin by 5% reduces payback period by 10% (huge leverage).
Increase ARPU (Medium ROI):
ARPU drives monthly gross profit directly. A 10% ARPU increase improves payback by 9%.
Levers:
• Tiered pricing (most customers move up)
• Add-ons (5-20% of customers add)
• Expansion revenue (customer grows, upgrades)
Reduce CAC (Medium-High ROI):
CAC is the numerator of payback. A 20% CAC reduction improves payback by 20%.
Levers:
• Improve conversion rate (better landing pages, messaging)
• Shift to organic channels (content, referral)
• Improve referral rates (better product, referral program)
The Combination Effect:
Increasing ARPU 10% + Reducing CAC 15% + Improving margin 3% = 25-28% payback improvement total.
Payback from 18 months to 13.5 months is massive—it cuts runway requirements by 30% and dramatically improves survival odds.
Calculate this metric monthly:
Data you need:
• CAC by month (total acquisition spend ÷ customers acquired)
• ARPU by cohort (monthly revenue ÷ customers)
• Gross margin (measure directly from P&L)
• Churn by cohort (track retention curves)
Red flags:
• CAC increasing month-over-month (acquisition inefficiency)
• ARPU decreasing (pricing power lost or product slipping)
• Gross margin decreasing (COGS inflation or refund rate up)
• Payback degrading (combination of above)
If payback degrades from 14 months to 18 months, this is an existential warning. Fix it immediately by raising ARPU, reducing CAC, or cutting product costs.
No. It depends on growth rate and market. Fast-growing companies can tolerate longer payback (24 months) if growing 50% MoM. Slow-growth bootstrapped companies need under 12 months or they'll run out of cash.
Usually improves naturally. Early payback is long because you're finding PMF. As you scale, you optimize channels, pricing, and efficiency. Payback typically improves 20-30% from year 1 to year 3.
Enterprise SaaS is special. If you're selling to Fortune 500 companies with 9-month sales cycles, 36-month payback might be acceptable if LTV is $500k+. Focus on LTV:CAC ratio instead (should still be 3:1+).
Don't assume. Measure. Cohort analysis is your friend. Take customers acquired in January, track their month 1-24 retention and monthly profit. Calculate actual payback. Do this for all cohorts to reveal trends.
Target 3:1 minimum. 5:1+ is great. Below 3:1 means you're spending too much to acquire customers or they're churning too fast.
LTV = Average Revenue Per User ÷ Monthly Churn Rate. At $50 ARPU and 2% monthly churn: LTV = $50 ÷ 0.02 = $2,500.
CAC Payback = CAC ÷ Monthly Gross Profit per Customer. Under 12 months is good for B2C. Under 18 months for B2B. Under 24 months for enterprise.
Under 2%/month (22%/year) for SMB SaaS. Under 1% for mid-market. Under 0.5% for enterprise. High churn kills growth — retention is the most important SaaS metric.
SaaS Gross Margin = (MRR - Direct COGS) ÷ MRR. COGS: hosting, support, third-party tools. High-growth SaaS targets 70-80%+ gross margin.
Research competitor pricing, calculate your cost per customer including infrastructure and support, then target a gross margin of 70-85%. Start with value-based pricing where the price reflects the customer outcome rather than just your costs.
Top SaaS companies maintain 70-85% gross margins. Below 60% indicates infrastructure or support cost issues. Gross margin above 80% is excellent and signals strong unit economics that will scale well with customer growth.
LTV equals average revenue per account divided by monthly churn rate. If ARPA is $100 per month and monthly churn is 2%, LTV equals $5,000. Your customer lifetime value should be at least 3x your customer acquisition cost.
Three to four pricing tiers work best for most SaaS products. Include a free or low-cost entry tier, a popular mid-tier capturing most customers, and a premium tier for power users. The middle tier should be the obvious best value.
Raise prices when you add significant value, when competitors charge more for similar features, when churn is very low indicating high value perception, or annually by 5-10% to keep pace with inflation and increasing support costs.
LTV = (ARPU × Gross Margin %) / Monthly Churn Rate. LTV:CAC = LTV / CAC. CAC payback = CAC / (ARPU × Gross Margin %). Target LTV:CAC ≥ 3x and payback < 12 months.
Every formula on this page traces to a federal agency, central bank, or peer-reviewed institution. We cite the rule-makers, not secondhand blogs.
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Calculations are for educational purposes only. Consult a qualified financial advisor for personalized advice.