As you probably know, marketplaces hold a special place in my heart. I spent many years optimizing both sides of the Airbnb marketplace, and later spent hundreds of hours researching a series on kickstarting and scaling a marketplace. Based on this work, along with conversations with a dozen marketplace founders, and the insights many of you shared in this Twitter thread, below are my recommendations for the four most important metrics to track and optimize in any burgeoning marketplace:
Note, these are in addition to the metrics every founder should be watching, no matter the business model, such as retention, user growth, payback period, etc. For completeness, I cover these and a host of other valuable marketplace metrics, at the bottom of the post.
A big thank-you to Alex Taussig (Lightspeed), Ania Smith (TaskRabbit), Angela Tran (Version One), Dan Hockenmaier (Faire), Emma Guo (Offsyte), Grant LaFontaine (Whatnot), Kevin Tan (Snackpass), Matt Bendett (Peerspace), Mike Duboe (Greylock), and Mike Ghaffary (Canvas) for contributing to this post.
Also, I have dedicated posts on metrics for consumer businesses and PLG SaaS businesses.
Let’s get into it.
This metric is the ultimate measure of marketplace health, because it’s the essence of what a marketplace is—a place people can consistently come to find what they want. It also bakes in important input metrics like supply quality, availability, and booking conversion, since in order for you to convert a purchaser, you need to have (1) the right supply, (2) that’s available and interested at the right time, and (3) a funnel that converts people.
As an example, this would track the percentage of Airbnb guests who searched with dates and ended up booking a home, the percentage of DoorDash customers who searched for a cuisine and ended up ordering food, and the percentage of Uber ride requests that led to a ride.
Sarah Tavel calls this “happy GMV”:
Happiness >> how many transactions you accumulate.This is not to say that you shouldn’t grow. But if you think of growth as a means to increasing the average level of happiness per transaction (instead of the goal itself), it will focus you on quality growth over vanity growth.
a16z calls this “match rate”:
Many people call this metric “liquidity”—an ambiguous term I’ll cover at the end of this post. To Alex Taussig, one of the smartest people I know on marketplaces, this metric is primarily how he evaluates every new marketplace startup:
To operationalize this metric, you’ll need to identify what point along the user journey signals that the user is “intentful.” At Airbnb, this was a guest searching with specific dates. At Lyft/Uber, I suspect it’s somebody entering a destination, or even just opening up the app. At Etsy, it’s likely searching for a specific keyword.
Benchmarking what is good here is difficult, because it can range from under 5% for an e-commerce marketplace to over 80% when you narrow in on bottom-of-the-funnel conversion. The most important thing here isn’t hitting a specific number, but a laser focus on optimizing it.
If fill rate is the ultimate measure of marketplace health, bookings is the best way to track marketplace growth. Unlike GMV (which is also incredibly important, as you’ll see below), bookings removes confounding variables like average order values, pricing changes, and outlier purchases. It directly tells you whether your marketplace usage is growing or shrinking.
At Airbnb, this was was our north-star metric, as it continues to be for the majority of marketplaces in one form or another:
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