Unit Economics Analysis
description: Analyze unit economics for PE targets — ARR cohorts, LTV/CAC, net retention, payback periods, revenue quality, and margin waterfall. Essential for software/SaaS, recurring revenue, and subscription businesses. Use when evaluating revenue quality, building a cohort analysis, or assessing customer economics. Triggers on "unit economics", "cohort analysis", "ARR analysis", "LTV CAC", "net retention", "revenue quality", or "customer economics".
Workflow
Step 1: Identify Business Model
Determine the revenue model to tailor the analysis:
- SaaS / Subscription: ARR, net retention, cohorts
- Recurring services: Contract value, renewal rates, upsell
- Transaction / usage-based: Revenue per transaction, volume trends, take rate
- Hybrid: Break down by revenue stream
Step 2: Core Metrics
ARR / Revenue Quality
- ARR bridge: Beginning ARR → New → Expansion → Contraction → Churn → Ending ARR
- ARR by cohort: Vintage analysis — how does each annual cohort retain and grow?
- Revenue concentration: Top 10/20/50 customers as % of total
- Revenue by type: Recurring vs. non-recurring vs. professional services
- Contract structure: ACV distribution, multi-year %, auto-renewal %
Customer Economics
- CAC (Customer Acquisition Cost): Total S&M spend / new customers acquired
- LTV (Lifetime Value): (ARPU × Gross Margin) / Churn Rate
- LTV:CAC ratio: Target >3x for healthy businesses
- CAC payback period: Months to recover acquisition cost
- Blended vs. segmented: Break down by customer segment (enterprise vs. SMB vs. mid-market)
Retention & Expansion
- Gross retention: % of beginning ARR retained (excludes expansion)
- Net retention (NDR): % of beginning ARR retained including expansion
- Logo churn: % of customers lost
- Dollar churn: % of revenue lost (often different from logo churn)
- Expansion rate: Upsell + cross-sell as % of beginning ARR
Cohort Analysis
Build a cohort matrix showing:
| Cohort |
Year 0 |
Year 1 |
Year 2 |
Year 3 |
Year 4 |
| 2020 |
$1.0M |
$1.1M |
$1.2M |
$1.1M |
|
| 2021 |
$1.5M |
$1.7M |
$1.8M |
|
|
| 2022 |
$2.0M |
$2.3M |
|
|
|
| 2023 |
$3.0M |
|
|
|
|
Show both absolute $ and indexed (Year 0 = 100%) views.
Margin Waterfall
- Revenue → Gross Profit → Contribution Margin → EBITDA
- Fully loaded unit economics: what does it cost to acquire, serve, and retain a customer?
- Gross margin by revenue stream (subscription vs. services vs. other)
Step 3: Benchmarking
Compare unit economics to relevant benchmarks:
- SaaS Rule of 40: Growth rate + EBITDA margin > 40%
- SaaS Magic Number: Net new ARR / prior period S&M spend > 0.75x
- NDR benchmarks: Best-in-class >120%, good >110%, concerning <100%
- LTV:CAC: Best-in-class >5x, good >3x, concerning <2x
- Gross retention: Best-in-class >95%, good >90%, concerning <85%
- CAC payback: Best-in-class <12mo, good <18mo, concerning >24mo
Step 4: Revenue Quality Score
Synthesize into a revenue quality assessment:
| Factor |
Score (1-5) |
Notes |
| Recurring % |
|
|
| Net retention |
|
|
| Customer concentration |
|
|
| Cohort stability |
|
|
| Growth durability |
|
|
| Margin profile |
|
|
| Overall |
|
|
Step 5: Output
- Excel workbook with ARR bridge, cohort matrix, unit economics dashboard
- Summary slide with key metrics and benchmarks
- Red flags and areas for further diligence
Important Notes
- Always ask for raw customer-level data if available — aggregate metrics can hide problems
- NDR above 100% can mask high gross churn if expansion is strong enough — always show both
- Cohort analysis is the single most important view for revenue quality — push for this data
- Differentiate between contracted ARR and actual recognized revenue
- For usage-based models, focus on consumption trends and expansion patterns rather than traditional ARR metrics
- Professional services revenue should be evaluated separately — it's not recurring and margins are typically lower
1---2name: unit-economics3description: Unit Economics Analysis4---5# Unit Economics Analysis67description: Analyze unit economics for PE targets — ARR cohorts, LTV/CAC, net retention, payback periods, revenue quality, and margin waterfall. Essential for software/SaaS, recurring revenue, and subscription businesses. Use when evaluating revenue quality, building a cohort analysis, or assessing customer economics. Triggers on "unit economics", "cohort analysis", "ARR analysis", "LTV CAC", "net retention", "revenue quality", or "customer economics".89## Workflow1011### Step 1: Identify Business Model1213Determine the revenue model to tailor the analysis:14- **SaaS / Subscription**: ARR, net retention, cohorts15- **Recurring services**: Contract value, renewal rates, upsell16- **Transaction / usage-based**: Revenue per transaction, volume trends, take rate17- **Hybrid**: Break down by revenue stream1819### Step 2: Core Metrics2021#### ARR / Revenue Quality22- **ARR bridge**: Beginning ARR → New → Expansion → Contraction → Churn → Ending ARR23- **ARR by cohort**: Vintage analysis — how does each annual cohort retain and grow?24- **Revenue concentration**: Top 10/20/50 customers as % of total25- **Revenue by type**: Recurring vs. non-recurring vs. professional services26- **Contract structure**: ACV distribution, multi-year %, auto-renewal %2728#### Customer Economics29- **CAC (Customer Acquisition Cost)**: Total S&M spend / new customers acquired30- **LTV (Lifetime Value)**: (ARPU × Gross Margin) / Churn Rate31- **LTV:CAC ratio**: Target >3x for healthy businesses32- **CAC payback period**: Months to recover acquisition cost33- **Blended vs. segmented**: Break down by customer segment (enterprise vs. SMB vs. mid-market)3435#### Retention & Expansion36- **Gross retention**: % of beginning ARR retained (excludes expansion)37- **Net retention (NDR)**: % of beginning ARR retained including expansion38- **Logo churn**: % of customers lost39- **Dollar churn**: % of revenue lost (often different from logo churn)40- **Expansion rate**: Upsell + cross-sell as % of beginning ARR4142#### Cohort Analysis43Build a cohort matrix showing:4445| Cohort | Year 0 | Year 1 | Year 2 | Year 3 | Year 4 |46|--------|--------|--------|--------|--------|--------|47| 2020 | $1.0M | $1.1M | $1.2M | $1.1M | |48| 2021 | $1.5M | $1.7M | $1.8M | | |49| 2022 | $2.0M | $2.3M | | | |50| 2023 | $3.0M | | | | |5152Show both absolute $ and indexed (Year 0 = 100%) views.5354#### Margin Waterfall55- Revenue → Gross Profit → Contribution Margin → EBITDA56- Fully loaded unit economics: what does it cost to acquire, serve, and retain a customer?57- Gross margin by revenue stream (subscription vs. services vs. other)5859### Step 3: Benchmarking6061Compare unit economics to relevant benchmarks:62- **SaaS Rule of 40**: Growth rate + EBITDA margin > 40%63- **SaaS Magic Number**: Net new ARR / prior period S&M spend > 0.75x64- **NDR benchmarks**: Best-in-class >120%, good >110%, concerning <100%65- **LTV:CAC**: Best-in-class >5x, good >3x, concerning <2x66- **Gross retention**: Best-in-class >95%, good >90%, concerning <85%67- **CAC payback**: Best-in-class <12mo, good <18mo, concerning >24mo6869### Step 4: Revenue Quality Score7071Synthesize into a revenue quality assessment:7273| Factor | Score (1-5) | Notes |74|--------|-------------|-------|75| Recurring % | | |76| Net retention | | |77| Customer concentration | | |78| Cohort stability | | |79| Growth durability | | |80| Margin profile | | |81| **Overall** | | |8283### Step 5: Output8485- Excel workbook with ARR bridge, cohort matrix, unit economics dashboard86- Summary slide with key metrics and benchmarks87- Red flags and areas for further diligence8889## Important Notes9091- Always ask for raw customer-level data if available — aggregate metrics can hide problems92- NDR above 100% can mask high gross churn if expansion is strong enough — always show both93- Cohort analysis is the single most important view for revenue quality — push for this data94- Differentiate between contracted ARR and actual recognized revenue95- For usage-based models, focus on consumption trends and expansion patterns rather than traditional ARR metrics96- Professional services revenue should be evaluated separately — it's not recurring and margins are typically lower