Sell My Marketplace – AI-Powered Brokerage & Valuation
Thinking of an exit? Get a data-driven valuation, a buyer-ready package, and a confidential process designed for two‑sided marketplaces.
How Much Is My Marketplace Worth?
Short answer: Valuation ≈ Net Revenue × market multiple (where Net Revenue ≈ Take Rate × GMV), or EBITDA/SDE for smaller owner‑operated platforms — adjusted for liquidity (match rate/time‑to‑fill), cohort retention on both sides, contribution margin after variable costs (payments, support, disputes), unit economics per side (LTV:CAC, payback), and regulatory/platform risk.
Valuation, in brief (5 steps)
- Choose method: net‑revenue multiple (common) or EBITDA/SDE for smaller, mature operations.
- Normalise metrics: GMV, net revenue/take rate, contribution margin, CAC & payback by side, refund/chargeback rate.
- Benchmark with comps: size band, growth, category, geography, take‑rate stability, frequency/seasonality.
- Adjust for risk: supply/demand concentration, disintermediation, trust & safety, KYC/AML, regulatory exposure.
- Run scenarios: base / upside / de‑risked (e.g., +take rate, +activation, +repeat rate), then set a defensible range.
Marketplace Valuation Multiples in 2025 (Indicative)
Ranges vary by size, quality, and buyer type. Treat these as directional bands, not guarantees.
| Profile | Basis | Indicative Range* |
|---|---|---|
| Owner‑operated, sub‑$2m net revenue | SDE multiple | ~2.5×–4.0× SDE |
| $2m–$10m net revenue, steady growth | Net revenue multiple | ~1.5×–3.5× Net Revenue |
| $10m+ net revenue, strong metrics | Revenue/EBITDA multiple | ~3.0×–7.0× Revenue or 6.0×–12.0× EBITDA |
*Illustrative bands only; actual outcomes depend on growth, liquidity, take‑rate durability, margins, risk, buyer type, and market conditions.
How We Value Marketplaces: GMV, Take Rate, Liquidity, Cohorts
| Driver | Strong Signal | Effect on Multiple |
|---|---|---|
| GMV/Net‑Revenue Growth | Consistent QoQ growth with supply & demand pipeline | Higher (durability of growth) |
| Liquidity | High match rate; short time‑to‑fill; high repeat purchase | Higher (network effects) |
| Unit Economics | LTV:CAC ≥ 3:1 on both sides; payback < 12 months | Higher (efficient growth) |
| Contribution Margin | Stable after payment, support, and dispute costs | Higher (profit potential) |
| Concentration Risk | No seller/buyer > 10% GMV; diversified channels | Higher (lower revenue risk) |
| Trust/Safety & Compliance | KYC/AML in place; low chargebacks; clear T&S | Higher (smoother diligence) |
SDE vs EBITDA for Marketplaces: Which One Matters?
Smaller, owner‑operated platforms are often priced on SDE (profit + reasonable owner compensation + normalised add‑backs). Larger operations trend to EBITDA or net‑revenue multiples. We compute both and align to the buyer pool.
How our AI model improves the valuation
- Maps your metrics to live deal/comparable bands (category, size, growth, take rate, liquidity).
- Runs sensitivity on take rate, activation, repeat rate, and CAC/payback to show multiple uplift.
- Ranks buyer fit (strategic vs financial) to indicate likely price/structure scenarios.
What to prepare (faster valuation)
- Last 24 months P&L + balance sheet; GMV → net revenue → contribution margin bridge.
- Cohort/retention by buyers & sellers; activation/wafer rates; match rate; time‑to‑fill; refund/chargeback logs.
- Revenue by category/geo; pricing & fees; promotions; seasonality.
- Top buyers/sellers with % of GMV; channel dependence and disintermediation controls.
- Contracts/IP checklist: payment processor terms, KYC/AML, ToS, trademarks, data/privacy posture.
Quick answers:
Revenue or profit multiple? Net‑revenue multiples are common; EBITDA/SDE for smaller or slower‑growth platforms.
What replaces “Rule of 40”? Liquidity efficiency (match rate, repeat rate) and unit‑economics balance drive multiples more than headline GMV.
Fastest multiple lifts? Take‑rate clarity, improved liquidity, better LTV:CAC/payback per side, clean compliance, and reduced concentration/disintermediation.