In marketplace business models, the "matching rate" — how successfully and how often the two sides of the marketplace (e.g., supply and demand, buyers and sellers) are paired — is typically the single metric that most directly drives the topline revenue goal. Karina Stukan cites it as the default anchor metric to reach for when building a Metrics One-Pager for a marketplace product.
Matching rate sits one causal step away from revenue in most two-sided markets: more successful matches convert directly into more completed transactions. That makes it a natural target for the "how does my work connect to money" chain described in Laddering (Strategy-Alignment Diagnostic) and Business Acumen as Curiosity, Not Credentials.
Two-sided marketplaces must clear product-market fit — "liquidity" — on both supply and demand sides at once, and the threshold is specific to the marketplace rather than universal. Casey Winters cites GrubHub's supply-side threshold: a new restaurant needed to receive roughly two orders a day within its first four months on the platform, or it was likely to churn off the supply side regardless of demand-side health. As a rough cross-marketplace heuristic, once both supply and demand sides reach roughly 40% conversion/retention, network effects tend to take over and liquidity becomes self-sustaining. This complicates matching rate as a single metric — supply-side liquidity and demand-side liquidity can move independently, and a marketplace can look healthy on an average matching rate while one side is quietly failing its threshold.