# Taking a cut (Marketplaces)

**Definition (short).** You connect two (or more) sides of a transaction (buyers–sellers, riders–drivers, hosts–guests) and charge a commission or fee. You rarely own the underlying good/service; your economics are driven by **GMV volume × take rate**, minus operating costs.

**Recent example.** Airbnb’s effective take rate was [\~ 13 – 15 % on $60 B+ GBV in 2023](https://fourweekmba.com/airbnb-take-rate/?utm_source=chatgpt.com). Uber takes [\~ 20 – 28 % of each fare](https://stockanalysis.com/stocks/uber/metrics/?utm_source=chatgpt.com) after incentives. Amazon Marketplace charges [8 – 15 % category commissions](https://productscope.ai/blog/amazon-referral-fee/?utm_source=chatgpt.com); eBay averages \~ 10 %.

**Historical example.** Sotheby’s (1744) and Christie’s (1766) have always taken [auction commissions](https://www.investopedia.com/articles/active-trading/031215/how-real-estate-agent-and-broker-fees-work.asp?utm_source=chatgpt.com). Stockbrokers since the 17th century charged per trade, and newspaper classifieds were proto-marketplaces taking small fees to connect local buyers and sellers.

<figure><img src="/files/5j46BbYD8ERESLEcFNJo" alt=""><figcaption></figcaption></figure>

#### KPI Definitions

**Net Commission Profit Growth % (NCPG).**\
\&#xNAN;*Pseudo:* `((Commission_Rev - Operating_Costs)_t - (Commission_Rev - Operating_Costs)_{t-1}) / (Commission_Rev - Operating_Costs)_{t-1} * 100`.\
\&#xNAN;*Why it matters:* GMV without monetization, or take rate without efficiency, equals vanity. NCPG unifies the three real levers: volume (GMV), monetization (take rate), and cost discipline.\
\&#xNAN;*Benchmark:* Mature marketplaces target [double-digit profit growth](https://www.sec.gov/Archives/edgar/data/1559720/000155972024000006/abnb-20231231.htm?utm_source=chatgpt.com).

**Gross Merchandise / Transaction Value (GMV).**\
\&#xNAN;*Pseudo:* `Σ transaction_amounts`.\
\&#xNAN;*Why it matters:* Commission dollars usually scale linearly with GMV. Investors use GMV to size the marketplace even before profits.\
\&#xNAN;*Benchmark:* Airbnb GBV [$63 B (2022)](https://www.sec.gov/Archives/edgar/data/1559720/000155972024000006/abnb-20231231.htm?utm_source=chatgpt.com).

**Take Rate % (TR).**\
\&#xNAN;*Pseudo:* `TR = Commission_Revenue / GMV * 100`.\
\&#xNAN;*Why it matters:* It shows value capture and pricing power; raising TR without hurting liquidity is gold.\
\&#xNAN;*Benchmark:* Product marketplaces [5 – 15 %](https://productscope.ai/blog/amazon-referral-fee/?utm_source=chatgpt.com); service marketplaces 15 – 30 %.

**Operating Cost % of Commission Rev (OPEX).**\
\&#xNAN;*Pseudo:* `OPEX / Commission_Revenue * 100`.\
\&#xNAN;*Why it matters:* High opex eats into take rate gains; scale should drive this down.\
\&#xNAN;*Benchmark:* Post-scale marketplaces target [< 50 % opex/commission rev](https://www.sec.gov/Archives/edgar/data/1559720/000155972024000006/abnb-20231231.htm?utm_source=chatgpt.com).

**Number of Transactions (NT).**\
\&#xNAN;*Pseudo:* `COUNT(txn_id)`.\
\&#xNAN;*Why it matters:* Frequency matters for habit and network effects; many small orders can equal one large one in GMV, but frequency builds stickiness.\
\&#xNAN;*Benchmark:* DoorDash did [512 million orders in Q1 2023](https://ir.doordash.com/news/news-details/2023/DoorDash-Releases-First-Quarter-2023-Financial-Results/default.aspx?utm_source=chatgpt.com).

**Average Transaction Value $ (ATV).**\
\&#xNAN;*Pseudo:* `ATV = GMV / NT`.\
\&#xNAN;*Why it matters:* Shifts in product mix or user behavior drive ATV; high ATV can boost revenue per txn but often comes with lower frequency.\
\&#xNAN;*Benchmark:* E-commerce AOV [$50 – $100](https://www.irpcommerce.com/en/us/ecommercemarketdata.aspx?utm_source=chatgpt.com).

**Other Fees % of GMV (OTHERF).**\
\&#xNAN;*Pseudo:* `Other_Fee_Revenue / GMV * 100`.\
\&#xNAN;*Why it matters:* Diversifies income and effectively raises take rate without raising headline commission.\
\&#xNAN;*Benchmark:* Etsy charges [listing + promoted listings fees](https://investors.etsy.com/overview/key-figures/default.aspx?utm_source=chatgpt.com) adding a few extra %.

**Mix of Commission vs Subscriptions % (MIXT).**\
\&#xNAN;*Pseudo:* `Subscription_Revenue / Total_Revenue * 100`.\
\&#xNAN;*Why it matters:* Subscriptions stabilize revenue and raise LTV; but too much may deter small sellers.\
\&#xNAN;*Benchmark:* Some B2B marketplaces get [> 20 % of revenue from subscriptions](https://investors.etsy.com/overview/key-figures/default.aspx?utm_source=chatgpt.com).

**Active Buyers (ACTB).**\
\&#xNAN;*Pseudo:* `COUNT(DISTINCT buyer_id WHERE txn>0)`.\
\&#xNAN;*Why it matters:* Demand-side depth; more buyers improve liquidity, justify higher TR.\
\&#xNAN;*Benchmark:* Etsy had [95.1 M active buyers (2022)](https://app.stocklight.com/stocks/us/nasdaq-etsy/etsy/annual-reports/nasdaq-etsy-2023-10K-23655284.pdf?utm_source=chatgpt.com).

**Active Sellers (ACTS).**\
\&#xNAN;*Pseudo:* `COUNT(DISTINCT seller_id WHERE txn>0)`.\
\&#xNAN;*Why it matters:* Supply depth; too few sellers causes stockouts/price spikes; too many with no sales drives churn.\
\&#xNAN;*Benchmark:* Etsy reported [7.5 M active sellers (2022)](https://app.stocklight.com/stocks/us/nasdaq-etsy/etsy/annual-reports/nasdaq-etsy-2023-10K-23655284.pdf?utm_source=chatgpt.com).

**Buyer Conversion Rate % (CONV).**\
\&#xNAN;*Pseudo:* `Purchases / Qualified_Sessions * 100`.\
\&#xNAN;*Why it matters:* It signals liquidity and UX quality; higher conversion usually lifts both GMV and TR.\
\&#xNAN;*Benchmark:* General e-commerce sees [2 – 3 % conversion rates](https://www.invespcro.com/cro/conversion-rate-by-industry/?utm_source=chatgpt.com).

**Purchase Frequency / Buyer (LFQ).**\
\&#xNAN;*Pseudo:* `NT / Active_Buyers`.\
\&#xNAN;*Why it matters:* Frequency drives lifetime value and defensibility.\
\&#xNAN;*Benchmark:* Top “habit” marketplaces push [> 5 – 10 orders per buyer per year](https://ir.doordash.com/news/news-details/2023/DoorDash-Releases-First-Quarter-2023-Financial-Results/default.aspx?utm_source=chatgpt.com).

**Supply Health / Listings Liquidity % (SUPH).**\
\&#xNAN;*Pseudo:* `Listings_sold / Listings_posted_in_window * 100`.\
\&#xNAN;*Why it matters:* If sellers don’t sell, they churn; liquidity is the soul of a marketplace.\
\&#xNAN;*Benchmark:* Healthy resale marketplaces target [> 50 % sell-through over 60 – 90 days](https://ir.doordash.com/news/news-details/2023/DoorDash-Releases-First-Quarter-2023-Financial-Results/default.aspx?utm_source=chatgpt.com).

**Disintermediation / Leakage Rate % (RISK) (aux).**\
\&#xNAN;*Pseudo:* `Off_platform_transactions_est / Total_matches_est * 100`.\
\&#xNAN;*Why it matters:* High leakage erodes take rate and weakens the moat.\
\&#xNAN;*Benchmark:* Service marketplaces often battle [> 20 % leakage early on](https://investors.etsy.com/overview/key-figures/default.aspx?utm_source=chatgpt.com).


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