BASELINE
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Calculate e-commerce unit economics: gross margin per order, contribution margin, break-even AOV, and customer profitability.
Model baseline, run what-if scenarios, and prioritize the highest-impact growth lever before shipping changes.
BASELINE
SCENARIO
ROAS
4,209.4%
Break-even ROAS
175.4%
CAC
$4
| Horizon | Best | Base | Worst |
|---|---|---|---|
| 3 months | $1,374,596 | $1,134,212 | $898,401 |
| 6 months | $2,898,634 | $2,355,634 | $1,837,839 |
| 12 months | $6,461,796 | $5,087,447 | $3,847,412 |
Cumulative net profit
Improve conversion mechanics
+$47,693
Improve retention/repeat
+$28,616
Increase qualified sessions
+$27,471
Lift average order value
+$18,314
Increase gross margin
+$12,718
Improve paid efficiency
+$1,440
Sample size is an estimate based on revenue-per-session effect translated into conversion uplift.
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For e-commerce, unit economics are calculated per order: Gross Margin per Order = Revenue − COGS − Shipping − Returns − Payment Fees. Contribution Margin = Gross Margin − Variable Marketing Costs. A healthy e-commerce business needs positive contribution margin to eventually cover fixed costs. Key levers: AOV (Average Order Value), repeat purchase rate, and return rate. High return rates (common in fashion, 30-40%) dramatically erode unit economics.
Target varies by category. Software/digital: 70-90%. Beauty/supplements: 60-80%. Apparel: 50-70%. Electronics: 15-30%. Gross margin below 30% makes profitability very hard for pure-play D2C due to marketing costs.
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