Imagine you’re running a marketplace startup — let’s call it ACo — that allows consumers to sell spare items they have around the house. You notice after a few months that only 25% of your new sellers are coming back each month, but they’re selling just as much as they did in that first month. Pretty good, right?
Then, you hear about a competitor: BCo. They launched at the same time as you, are growing new revenue at the same rate each month, and also see 25% of sellers come back. But the sellers that they retain double their monthly sales on the platform. And by the end of the year, BCo is nearly 2x your scale!
ACo and BCo differ in terms of one major metric: GMV (gross merchandise value) retention. I would argue that this is the most predictive metric of whether you’re building a marketplace business that’s just OK or truly great. It determines whether your business resembles a “layer cake” or a “leaky bucket.” But it’s also one of the most ignored metrics — many founders don’t even track it.
In this post, I’ll cover what GMV retention is — including a spreadsheet template for how to calculate it — why you should care about it, and the benchmarks our team at a16z uses to analyze marketplace performance.
GMV retention is a cohort-based way of looking at how healthy each side of your marketplace is.
Many companies measure user retention, which shows the frequency with which users return to your product. Let’s say ten users transact on ACo for the first time in January 2022. Five of them come back and transact in February 2022, and three come back in March 2022. Your one-month (“m1”) user retention for this cohort is 50% (5 /10 initial users), while your m2 user retention is 30%.
GMV retention takes this a step further by measuring how much of each cohort’s spend you retain over time. Say those ten users spend $10,000 on the platform in January, and the five that come back in February spend $7,500. Your m1 user retention may only be 50% – but your m1 GMV retention is 75%! ($7,500 / $10,000).
Like user retention, GMV retention is often displayed in tables and “spaghetti charts.” I’ve uploaded a full template here for how our team calculates these numbers; the “output” for that sample company is displayed below.
GMV retention can range from 0% to 100%+ (sometimes, it’s far above 100%) for each cohort each month. Typically, one side of a marketplace’s GMV retention is much stronger than the other; often, this is the supply side.
Why? Ideally, suppliers find enough value to build a business on the platform, while individual consumers transact less frequently. An example of this is Airbnb. You may only book one or two per year, but ideally your host is filling the property every week. Some marketplaces see strong GMV retention on both sides: for example, Uber and Lyft. The supply side is likely still more active, but consumers may also transact on the platform weekly or monthly.
There’s a few reasons why you should care about GMV retention:
In our analysis of GMV retention cohorts, we’re looking for a few things:
The best examples of top-tier GMV retention come from marketplaces that have made it to IPO. These companies report GMV retention on an annual basis — the data below shows retention for a cohort’s second year on a marketplace versus their first year. This is often reported at IPO, but not necessarily after, so I’ve included the most recently reported cohort for each company.
Private comparables come in somewhat below these numbers. Below are general benchmarks for consumer marketplaces our team has seen over the last ~18 months. These metrics are for companies we’ve spent significant time with at the seed through Series B, so they’re likely a bit higher than the true “market” average.
Best-in-class consumer marketplaces see supply side GMV retention at or above 100% through m12 and beyond. This doesn’t mean that 100% of suppliers retain — more frequently, we see that 50-70% of suppliers retain, but expand their GMV 2-3x+ over time.
We’ve observed, however, that the average marketplace retains supply side GMV closer to 80-95% in the first three months – and then plateaus around 45-50% by m12.
What drives high supply GMV retention? There are two keys:
Demand side GMV retention tends to be lower than supply side, as discussed above — but it’s still important. This retention helps determine the rate of new user growth required to hit your overall growth goals. Poor demand side retention can also yield poor supply side retention, as suppliers who aren’t getting transactions will churn.
What drives high demand GMV retention?
For founders building early to late stage marketplace startups, GMV retention is a critical metric to track. If you’re an early stage founder, you can reach me at @omooretweets.
SEC filings used for calculating public company GMV retention:
Poshmark: https://investors.poshmark.com/news/news-details/2022/Poshmark-Inc.-Reports-Fourth-Quarter-and-Full-Year-2021-Financial-Results/default.aspx
Etsy: https://www.sec.gov/ix?doc=/Archives/edgar/data/1370637/000137063722000024/etsy-20211231.htm
DoorDash: https://www.sec.gov/Archives/edgar/data/1792789/000119312520292381/d752207ds1.htm
Airbnb: https://www.sec.gov/Archives/edgar/data/1559720/000119312520294801/d81668ds1.htm
Lyft: https://www.sec.gov/Archives/edgar/data/1759509/000119312519059849/d633517ds1.htm
Upwork: https://investors.upwork.com/static-files/13cc0abe-5577-4f83-b260-a95811318078
Fiverr: https://www.sec.gov/ix?doc=/Archives/edgar/data/0001762301/000117891322000725/zk2227154.htm
FarFetch: https://www.sec.gov/Archives/edgar/data/1740915/000119312518252315/d532260df1.htm
The RealReal: https://www.sec.gov/Archives/edgar/data/1573221/000119312519163007/d720814ds1.htm
Wish: https://www.sec.gov/Archives/edgar/data/1822250/000119312520298630/d82777ds1.htm
Eventbrite: https://www.sec.gov/Archives/edgar/data/1475115/000119312518255960/d593770ds1.htm
Rover: https://www.sec.gov/Archives/edgar/data/1826018/000095012321002084/ck0001538533-s4.htm
Vacasa: https://www.sec.gov/Archives/edgar/data/1840927/000110465921097288/tm2123195d2_425.htm
1stDibs: https://www.sec.gov/Archives/edgar/data/1600641/000119312521162999/d244039ds1.htm
Coursera: https://www.sec.gov/Archives/edgar/data/1651562/000119312521071525/d65490ds1.htm