casemark/analyzing-unit-economics

Analyzing Unit Economics

Structures unit economic analysis with CAC, LTV, payback period, and cohort-based measurement for evaluating whether a business acquires and monetizes customers profitably.

When To Use

• Evaluating customer acquisition efficiency (CAC trending, channel-level CAC)
• Calculating customer lifetime value (LTV) and LTV/CAC ratios
• Determining payback period on acquisition spend
• Comparing unit economics across customer segments, cohorts, or product lines
• Stress-testing business model sustainability for board decks, fundraising, or strategic planning
• Assessing whether to scale, hold, or cut spend on a specific acquisition channel

Inputs To Gather

• Revenue data: MRR/ARR per customer or ARPU by period; gross margin percentage or contribution margin per unit
• Acquisition cost data: Total sales & marketing spend by channel; number of new customers acquired per period; breakdown of paid vs. organic vs. referral acquisition
• Retention/churn data: Logo churn rate and revenue churn rate by cohort; expansion revenue (upsell/cross-sell) rates if applicable
• Cohort definitions: Time-based cohorts (monthly/quarterly sign-up date), segment-based cohorts (plan tier, geography, company size)
• Time horizon: Analysis window length and whether to use historical actuals, forward projections, or both
• Discount rate (if computing discounted LTV): Weighted average cost of capital or hurdle rate [VERIFY — confirm with finance team which rate applies]

Workflow

1. Define the unit: Clarify what constitutes a "unit" — individual customer, account, seat, contract, or transaction. This choice drives every downstream calculation.
2. Calculate CAC:
   • Fully loaded CAC = (Sales & marketing spend + attributed overhead) / New customers acquired
   • Segment by channel (paid search, outbound sales, partnerships, organic) where data permits
   • Flag whether CAC includes or excludes sales team base salaries — state the convention explicitly
3. Calculate LTV:
   • Simple LTV = ARPU × Gross Margin % × (1 / Churn Rate)
   • Cohort-based LTV: Track actual cumulative gross profit per cohort over time; fit a retention curve (exponential decay, shifted beta-geometric, or log-linear) to project remaining life
   • If expansion revenue is material, compute net revenue retention (NRR) and use it in place of simple churn: LTV = ARPU × Gross Margin % × (1 / (1 − NRR))
   • For discounted LTV, apply the agreed discount rate period-by-period [VERIFY]
4. Compute core ratios:
   • LTV/CAC ratio: Target benchmark is ≥ 3× for SaaS; adjust expectations by industry [VERIFY — benchmark varies by business model]
   • CAC payback period: Months to recover CAC = CAC / (ARPU × Gross Margin %). For non-subscription models, use average order frequency × contribution margin per order
   • Contribution margin per unit: Revenue per unit minus all variable costs directly attributable to serving that unit
5. Cohort analysis:
   • Build a cohort retention table (rows = cohort, columns = period since acquisition)
   • Plot retention curves and identify whether newer cohorts retain better or worse than older ones
   • Calculate cumulative revenue and cumulative gross profit per cohort to see when each cohort "pays back"
6. Sensitivity and scenario testing:
   • Vary churn rate ±20% and show impact on LTV and LTV/CAC
   • Model the effect of a CAC increase (e.g., rising CPMs) on payback period
   • Test what gross margin improvement is needed to hit target LTV/CAC if current ratio is below threshold
7. Interpret and contextualize:
   • Compare current metrics to prior periods and to industry benchmarks [VERIFY — source benchmarks from credible surveys or databases]
   • Identify the primary lever (reduce churn, increase ARPU, lower CAC) with the largest marginal impact
   • Note any data gaps that limit confidence (e.g., insufficient cohort maturity, blended channel costs)

Output

Produce a structured Unit Economics Analysis Report containing:

• Executive summary: One-paragraph verdict on unit economic health with headline LTV/CAC ratio and payback period
• Metric table: CAC, LTV, LTV/CAC, payback period, contribution margin — shown overall and by segment/channel
• Cohort retention chart: Heatmap or line chart of retention by cohort
• Cumulative gross profit curves: Per-cohort view showing time to payback
• Sensitivity table: Key metrics under bull/base/bear assumptions
• Recommendations: Ranked list of actions (scale channel X, reduce churn via Y, raise price on segment Z) with expected metric impact
• Assumptions & limitations log: Every assumption stated, every data gap flagged with [VERIFY]

Quality Checks

• Confirm CAC denominator counts only new customers, not reactivations, unless reactivation cost is separately tracked
• Verify that LTV uses gross margin, not revenue — overstating LTV by ignoring COGS is the most common error
• Ensure churn rate and ARPU are measured over the same time period (monthly churn with monthly ARPU, not mixing annual and monthly)
• Check that cohort data has sufficient maturity (at least 6–12 months of history) before projecting long-tail retention
• Cross-check total CAC spend × customer count against the P&L sales & marketing line to catch allocation errors
• Validate that LTV/CAC ratio is not artificially inflated by excluding below-the-line costs from CAC (e.g., onboarding, customer success)
• If using discounted LTV, confirm the discount rate is consistently applied and disclosed