AS | Ankit Sarawagi · Founder, CFOmatrix · June 17, 2026 · 13 min read · Updated June 2026 |
A marketplace is not one business; it is two businesses running simultaneously. You are acquiring buyers and acquiring sellers, managing supply and demand, and trying to hold both sides on the platform long enough to earn a take rate that justifies the cost. Traditional unit economics frameworks built for single-sided businesses do not capture this complexity. This guide covers the 15 metrics that define a healthy two-sided marketplace, what each one signals, how to calculate it, and where most platform founders go wrong.
Key Takeaways
- Marketplace revenue equals GMV multiplied by take rate; confusing GMV with revenue overstates the business by 5 to 10 times
- Liquidity Rate is the most critical early signal: if supply is not transacting, the platform will not retain sellers regardless of what the revenue line shows
- Take rates above 25% in most categories create disintermediation risk where buyers and sellers find each other off-platform
- Supply CAC and Demand CAC must be tracked separately; blending them hides the true cost of building both sides of the market
- Supplier retention is harder to fix than buyer retention: once a seller leaves, the liquidity damage is immediate and difficult to reverse
- A Repeat Transaction Rate above 60% of total transactions is one of the strongest signals of platform defensibility
Table of Contents
1Why Marketplace Unit Economics Are Different 2Volume Metrics: GMV, Transactions, ATV 3Economics and Revenue: Take Rate, Gross Profit, Rake | 6Quality Metrics: Trust Score and Dispute Rate |
Both sides Marketplace unit economics require tracking CAC on both supply and demand sides separately. | Take Rate The most-watched marketplace metric: too low means unsustainable, too high means disintermediation risk. | Liquidity The most misunderstood marketplace metric: low liquidity kills supply retention before revenue even shows the problem. |
Why Marketplace Unit Economics Are Different
A SaaS company has one customer. A marketplace has two. Every rupee of GMV requires acquiring and retaining a buyer and a seller simultaneously. If either side churns or underperforms, the other side’s experience degrades immediately. This interdependence creates a category of financial risk that has no equivalent in single-sided business models.
The second major difference is the gap between GMV and revenue. A marketplace processing Rs. 100 crore in annual GMV at a 12% take rate has Rs. 12 crore in revenue. Every growth metric, every investor update, every valuation conversation looks fundamentally different depending on which number is being discussed. Founders who conflate these two create credibility problems with investors and misread their own unit economics.
The third difference is liquidity. Traditional product businesses succeed or fail based on customer acquisition and retention. Marketplaces can fail even with high acquisition on both sides if liquidity is low. A buyer who cannot find what they need will not return. A seller whose listings do not convert will not stay. Liquidity is the connective tissue that makes both sides want to remain on the platform.
Volume Metrics
GMV — Gross Merchandise Value
GMV is the total value of all transactions processed through the marketplace in a given period. It includes both the platform’s take rate revenue and the amount paid out to sellers. GMV measures the size and throughput of the platform, but it is not revenue. A marketplace retains only the take rate portion of every transaction.
GMV is the most cited top-line marketplace metric because it captures the total economic activity flowing through the platform. It is also the most frequently misrepresented. Growth in GMV without a corresponding improvement in take rate, gross margin per transaction, and cohort retention does not signal a healthier business; it signals a larger one with the same or worse unit economics.
Total Transactions and Transaction Frequency
Total transactions counts the number of completed orders processed through the platform in a period. Transaction Frequency measures the average number of orders per active user per month. While GMV measures the value of platform activity, transaction count and frequency measure the behavioral depth of engagement.
Rising transaction frequency without a corresponding rise in GMV means average transaction value is falling, which may indicate buyers are shifting toward lower-value items. Transaction frequency is a leading indicator of platform stickiness: if buyers are coming back often, the platform is becoming a habit. If frequency is flat or declining even as total transactions grow, you are likely adding new buyers at a rate that masks churn from your existing cohorts.
Average Transaction Value
Average Transaction Value (ATV) is GMV divided by the total number of transactions. It measures the size of a typical order on the platform. Rising ATV over time signals that buyers are purchasing higher-value items or services, often indicating a premium shift or successful upsell mechanics.
Falling ATV in the context of growing transaction volume often signals mix shift: lower-value categories or buyers growing faster than high-value ones. ATV is also relevant when evaluating payment gateway costs, fraud risk, and support load, since these costs often correlate with transaction count rather than transaction value.
Economics and Revenue
Take Rate
Take Rate is the percentage of GMV that the platform retains as net revenue. It is the single most-watched financial metric for any marketplace and the primary lever for improving platform economics. Take rate reflects how much value the platform captures relative to the total value of transactions it facilitates.
Take rates vary significantly across categories. Services marketplaces typically run 15 to 25%. Product marketplaces run 8 to 15%. Travel and ticketing platforms often run 5 to 12%. The ceiling on take rate is defined by the risk of disintermediation: if the platform takes too much, buyers and sellers will find ways to transact directly and avoid the fee entirely.
Gross Profit per Transaction
Gross Profit per Transaction measures the real economic value retained by the platform after deducting the direct costs of facilitating each transaction. These costs include payment processing fees, customer support costs attributable to that transaction, fraud losses, and any fulfilment or logistics subsidy provided by the platform.
This metric exposes platforms that are growing GMV through subsidised transactions. A marketplace with a 12% take rate but 8% in per-transaction costs has a gross profit per transaction of only 4% of ATV. That is a fundamentally different business from one with the same take rate and 3% per-transaction costs producing 9% gross profit.
Rake Factor
The Rake Factor describes what percentage of the total value created in a transaction the platform captures for itself. It is a broader framing of take rate that includes both the explicit fee and any implicit value captured through data, advertising, or ancillary services. The term was popularized by Bill Gurley as a way of thinking about marketplace defensibility.
A platform with a 12% take rate that also earns 3% in advertising revenue from sellers promoting their listings has an effective Rake Factor of 15%. High Rake Factor platforms are defensible because multiple revenue streams make it harder for competitors to undercut any single line. The risk is that total economic extraction becomes high enough that one side decides to leave or build a competing platform.
Supply-Demand Metrics
Liquidity Rate
Liquidity Rate is the percentage of active supply listings or service slots that result in a completed transaction in a given period. It is one of the most important and most misunderstood metrics in marketplace unit economics. High liquidity means supply is being matched to demand efficiently. Low liquidity means supply is sitting idle, which will cause sellers to question the value of staying on the platform.
Liquidity is not just a supply problem or a demand problem; it is a matching problem. A marketplace can have strong buyer acquisition and strong seller acquisition and still have low liquidity if the right buyers are not being matched to the right sellers at the right time. Improving liquidity often requires investment in search quality, recommendation algorithms, and pricing tools for sellers.
Order Fill Rate
Order Fill Rate measures the percentage of buyer demand requests that are successfully fulfilled by available supply. It tracks what happens from the demand side when a buyer searches, requests, or places an order. A low fill rate means the platform is failing buyers: supply is either unavailable, unavailable at the right price, or not discoverable at the right moment.
Fill rate below 70% signals a supply shortage or a matching inefficiency. Even if total GMV looks healthy, a persistently low fill rate will damage buyer trust and increase the probability that buyers search off-platform the next time. In ride-hailing, food delivery, and home services, fill rate is often tracked in real time because a single failed request can permanently reduce a buyer’s likelihood of returning.
Supply CAC
Supply CAC is the total cost to acquire one seller, service provider, or supplier onto the platform. It includes sales team salaries, onboarding team costs, any incentives or guarantees offered to new sellers, and the portion of marketing spend aimed at supply acquisition. Marketplace founders frequently underestimate Supply CAC because supply acquisition is treated as an operations function rather than a sales function.
An active seller, not just a registered one, is the correct denominator. Many marketplaces count registered sellers in their supply numbers while a large percentage never list a single product or complete a single transaction. Using registered sellers inflates the count and deflates Supply CAC to a number that does not reflect the true cost of building usable supply.
Demand CAC
Demand CAC is the total cost to acquire one buyer or customer onto the platform. It covers performance marketing spend, brand campaigns, referral incentives, first-order discounts, and any portion of the sales team focused on buyer acquisition. In consumer marketplaces, Demand CAC is often dominated by performance marketing on Google and Meta.
An active buyer is one who completes at least one transaction, not just one who downloads the app or creates an account. The gap between registered users and transacting users is often 40 to 60% in consumer marketplaces, and collapsing this gap through activation optimization is one of the most capital-efficient ways to reduce effective Demand CAC.
Retention
Retention in a marketplace must be measured on both sides. A platform can have strong buyer retention and weak seller retention, or vice versa, and both create structural problems that will surface in GMV and liquidity within one to two quarters.
Buyer Retention Rate
Buyer Retention Rate measures the percentage of buyers who made a purchase in a prior period and return to make at least one purchase in the current period. It is the demand-side equivalent of churn and tells you how well the platform experience is converting a first transaction into a lasting relationship.
Buyer retention varies significantly by category. High-frequency categories like food delivery or daily grocery should target 50 to 70% monthly retention. Low-frequency categories like home renovation or automobiles may see 10 to 20% monthly retention but much stronger annual retention. The metric should always be benchmarked against category norms, not universal standards.
Supplier/Seller Retention Rate
Seller Retention Rate measures the percentage of active sellers in a prior period who remain active in the current period. A seller is active if they have at least one listing and complete at least one transaction in the period. Seller churn directly reduces platform liquidity because fewer supply-side participants means fewer options for buyers and lower fill rates.
Seller churn is often a lagging indicator of a problem that originated in liquidity or onboarding. A seller who onboards, lists, and sees no transactions within the first 30 to 60 days will typically go inactive without ever formally churning. They simply stop engaging. This silent churn is harder to detect and harder to reverse than explicit cancellation.
Repeat Transaction Rate
Repeat Transaction Rate is the percentage of total transactions in a period that were made by returning buyers, not first-time buyers. It measures the overall stickiness of the platform at the transaction level rather than at the user level. A platform where most transactions come from returning buyers has built habitual use; a platform where most transactions come from first-time buyers is dependent on continuous acquisition to maintain GMV.
Quality Metrics
Marketplace quality metrics are unit economics metrics. Low quality increases dispute costs, drives buyer churn, and ultimately forces platforms to subsidise trust through cashbacks and guarantees that erode take rate economics. Tracking quality at the transaction and seller level is a financial discipline, not just a customer experience exercise.
Trust Score / Average Rating
Average Rating is the platform-wide average of transaction or seller ratings, typically on a 1 to 5 scale. It is the most visible quality signal on any marketplace and functions as both a product health metric and a unit economics metric. Low average ratings increase buyer churn, increase support costs, and force the platform to offer guarantees or refunds that reduce gross profit per transaction.
Track average rating by category, by seller tier, and by buyer cohort. A platform average of 4.3 can hide a long tail of 2 and 3-star transactions in specific categories that are destroying retention in those segments. The distribution of ratings matters more than the average; a bimodal distribution with many 5-star and many 1-star ratings signals a quality consistency problem that an average cannot capture.
Dispute Rate
Dispute Rate is the percentage of total transactions that result in a formal dispute, complaint, or refund request. It is a direct unit economics metric because each dispute consumes support team capacity, may result in a refund that reduces net revenue, and damages the buyer’s trust in the platform enough to reduce future transaction probability.
A 3% dispute rate sounds small, but on a platform processing 10,000 transactions per month, that is 300 disputes. If each dispute costs Rs. 500 in support and results in a 40% refund rate on an average transaction value of Rs. 1,500, the total cost is Rs. 3.3 lakh per month from disputes alone. Dispute Rate must be tracked alongside the average cost per dispute to understand the true financial impact.
Benchmarks for Indian Marketplace Startups
These benchmarks reflect Indian marketplace norms at different growth stages. They apply broadly across categories; specific segments such as real estate, financial products, or SaaS distribution marketplaces will have category-specific thresholds that deviate from these ranges.
“A marketplace CFO who only looks at GMV and take rate is reading two pages of a ten-page story. The metrics that predict whether the platform survives are all on the other eight pages: liquidity, fill rate, cohort retention, and dispute economics.”
Ankit Sarawagi, CFOmatrixNeed help building your marketplace unit economics framework? CFOmatrix helps marketplace founders track both sides of the platform with the right metrics before their first investor conversation. | Talk to CFOmatrix |
Frequently Asked Questions
What is a healthy take rate for an Indian marketplace?
Take rates vary significantly by category. Services marketplaces such as freelance work, tutoring, and home services typically run 15 to 25%. Product marketplaces run 8 to 15%. Travel and ticketing platforms often run 5 to 12%. The key risk is setting a take rate so high that buyers and sellers are incentivised to transact off-platform directly. A healthy take rate is one where the platform delivers enough trust, discovery, and convenience that both sides accept the cost without looking for alternatives.
Why does marketplace unit economics require tracking both supply and demand CAC?
Marketplaces have two customers: buyers and sellers. Acquiring only buyers without enough sellers creates a poor experience and kills liquidity. Acquiring only sellers without enough buyers means supply churns quickly. Each side has a different acquisition cost, different retention curve, and different LTV. Blending them hides the real cost structure. A marketplace spending Rs. 800 per buyer and Rs. 5,000 per seller has very different unit economics from one with symmetric costs, and the fundraising and growth planning implications are completely different.
What liquidity rate should a marketplace startup target?
A liquidity rate of 15 to 30% is the target for most marketplace categories. Early-stage marketplaces often run below 10% as they build supply before demand catches up. Below 10% signals a supply-demand imbalance that will hurt buyer experience and increase seller churn. Above 30% in a supply-constrained market can mean you are turning away buyers because supply cannot keep up. The right benchmark depends on your category and whether the constraint is primarily on the supply or demand side.
How is GMV different from revenue for a marketplace?
GMV (Gross Merchandise Value) is the total transaction value processed through the platform, including both the platform’s fee and the amount paid out to sellers. Revenue is only the portion the platform retains, which equals GMV multiplied by the take rate. A marketplace processing Rs. 10 crore in GMV at a 12% take rate has revenue of Rs. 1.2 crore. Confusing GMV with revenue is a common mistake that overstates the business by 5 to 10 times depending on the take rate, and creates serious credibility problems in investor conversations.
What buyer retention rate is considered healthy for a marketplace?
A monthly buyer retention rate of 40% or above is the target for most marketplace categories, meaning 40% of buyers who purchased in the prior month return to buy again. High-frequency categories such as food delivery and grocery should target 50 to 70%. Low-frequency categories like real estate or automobiles will naturally have lower monthly retention and are better measured on an annual basis. Repeat Transaction Rate above 60% of total transactions is a strong signal of platform stickiness regardless of category.
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