D2C Brand Unit Economics Model

Business Question — what we set out to answer

Many D2C brands grow revenue fast but bleed cash because acquisition costs outpace lifetime value. This model simulates the full unit-economics funnel — customer acquisition cost (CAC), average order value (AOV), repeat rate, and contribution margin — to identify the combination of retention and margin that makes a brand durably profitable.

Data Sources — where the data came from

• Public D2C disclosures & fundraising decks: CAC, AOV, repeat-rate benchmarks across beauty, foods, and lifestyle.
• Platform data (Amazon/Flipkart/D2C storefront): Order-frequency and basket-size patterns.
• Redseer / industry reports: Category-level unit-economics benchmarks.

Methodology — how we modelled it

• Funnel build: Traffic → conversion → AOV → margin, with a CAC function tied to scale.
• Retention curves: Repeat-purchase cohort curves fitted to order-frequency distributions.
• LTV calculation: Contribution-margin-weighted lifetime value across 24 months.
• Sensitivity matrix: Breakeven LTV:CAC vs. repeat rate and margin, as a heatmap.

Key Insights

• Retention beats acquisition: Small gains in repeat rate move LTV more than equivalent CAC cuts.
• Category matters: Consumables (food, personal care) hit LTV:CAC > 3 far faster than durables.
• Media efficiency ceiling: CAC rises steeply past a scale threshold as paid channels saturate.
• Margin is the keystone: Without contribution margin above ~22%, even strong retention cannot clear the CAC hurdle.

Limitations

CAC and retention benchmarks vary widely by category and geography; self-serve D2C data can understate true blended CAC. Model outputs are scenario ranges, not point forecasts.