Marketplace liquidity: indicators, example, levers and common mistakes
Marketplace liquidity is the probability that a buyer finds what they are looking for and a seller sells what they have listed, within an acceptable time. The article describes liquidity metrics, a worked example for two categories, levers on the supply and demand sides, and the mistakes that slow down platform growth.
Amounts and values in the examples are illustrative and show how the calculation works. In projects, we use the client's data.
Dominik Dębski · Lemur Media · · reading time: 4 min
Reviewed by Dominik Dębski, 1 November 2026
What is marketplace liquidity?
Marketplace liquidity is the ability of a two-sided platform to match demand with supply: the share of searches that end in a transaction and the share of listings that find a buyer within an acceptable time. A platform with high liquidity attracts more buyers and sellers, because both sides achieve their goal. A platform with low liquidity loses sellers who do not sell and buyers who do not find an offer. Liquidity is not a single number: it depends on category, region and season, so a platform can have high liquidity in one category and almost none in the next. J. Jordan, L. Jin, D. Coolican and A. Chen of the fund Andreessen Horowitz, in their overview of marketplace metrics (2020), described two measures close to liquidity: match rate, i.e. how often buyers find sellers and vice versa, and time to match.
How do you measure liquidity?
Liquidity is measured with several metrics on both sides of the market, calculated separately for categories and regions.
| Indicator | What it shows |
|---|---|
| Share of searches ending in a transaction or contact | Whether demand finds supply |
| Share of listings sold in the period | Whether supply finds buyers |
| Time to first sale for a new seller | Whether new sellers have a reason to stay |
| Share of buyers who return within 90 days | Whether the platform is becoming a habit |
| Share of the top 10% of sellers in gross merchandise value | Risk of dependence on a few players |
What does a worked example look like?
The average for the whole platform hides categories without liquidity, so metrics are calculated per category. The example concerns a platform with two categories in one month.
| Category | Searches | Ending in a transaction | Share of searches with a transaction | Listings | Listings sold | Share of listings sold |
|---|---|---|---|---|---|---|
| A. Spare parts | 10 000 | 1 200 | 12,0% | 5 000 | 1 500 | 30,0% |
| B. Workshop equipment | 8 000 | 400 | 5,0% | 6 000 | 600 | 10,0% |
| Platform total | 18 000 | 1 600 | 8,9% | 11 000 | 2 100 | 19,1% |
The platform result (8.9% and 19.1%) looks moderate, but category B has liquidity 2.4 times lower on the demand side (5.0% vs 12.0%) and 3 times lower on the supply side. Acquiring more buyers for category B will lower campaign conversion, because the problem lies in matching offers, e.g. in the assortment or prices.
Why does narrowing the market help?
Liquidity is easier to achieve in a narrow segment: one category, one city or one customer group. A broad scope at small scale means that in most categories buyers will not find enough choice. Expanding the scope makes sense when liquidity metrics in the current segment have been stable for several months. Levers are chosen according to the side of the market where there is a shortage.
| Side | Levers |
|---|---|
| Supply | Support for new sellers in their first weeks, listing quality standards, tools for managing prices and availability |
| Demand | Search and recommendations, trust (reviews, payments, returns), marketing aimed at categories with surplus supply |
| Revenue model | Level and structure of commission, fees for featured listings, additional services for sellers |
Where should you start improving liquidity?
Work starts with a liquidity report for each category and region, followed by choosing one segment where the platform has the best chance of reaching liquidity within two quarters. In the chosen segment, the team analyses searches with no results and no transactions, because they reveal missing supply or a price-matching problem. On the seller side, it analyses listings with no sale in 30 days and the time to first sale for new sellers. The marketing budget shifts to categories with surplus supply, and seller acquisition to categories with surplus demand. Metrics are reviewed monthly together with gross merchandise value and commission revenue, so that transaction growth does not come at the expense of the platform's margin.
What are the common mistakes and limitations?
The most common mistake is measuring growth by the number of listings or sellers, which also rises when liquidity falls. A limitation of the metrics is that they do not capture transactions concluded off the platform, which are significant in some categories.
- Acquiring buyers for categories without sufficient supply.
- Raising commission before reaching liquidity, which discourages new sellers.
- No analysis broken down by category and region.
- Comparing categories with different purchase cycles in the same time window.
Sources
- Andreessen Horowitz: 13 Metrics for Marketplace Companies (J. Jordan, L. Jin, D. Coolican, A. Chen, 2020)
- Harvard Business Review: Strategies for Two-Sided Markets (T. Eisenmann, G. Parker, M. Van Alstyne, 2006)
- Journal of the European Economic Association: Platform Competition in Two-Sided Markets (J.-C. Rochet, J. Tirole, 2003)
- Sarah Tavel (Benchmark): The Hierarchy of Marketplaces, Introduction and Level 1