The median Series A in 2024 closed at $15M. The median company that raised one had roughly $1–2M in ARR, growing at 100% year over year, with a sales motion that existed and a team that could plausibly 3x the business in 18 months. What the press releases don’t show: how many companies hit those numbers and didn’t raise, because the story they told alongside the metrics pointed the wrong direction.
Series A is milestone capital. Seed is for figuring out what you’re building. A is for proving you know how to scale it.
What investors are actually buying
When a Series A investor writes a check, they’re not buying current ARR. They’re buying the hypothesis that current ARR is the bottom-left corner of a curve that compounds for the next decade. Their diligence is designed to stress-test that hypothesis.
Metrics are the filter, not the decision. Every Series A investor sees hundreds of decks from companies at $1M ARR. They fund the ones where that ARR is explained by something structural — a defensible acquisition motion, a product with real switching costs, a market where the company has an advantage that won’t dissolve when a competitor discovers the same playbook.
The series A funding metrics that are real
No hard cutoff exists, but the pattern holds: $1–2M ARR minimum, 80–120% year-over-year growth, net revenue retention above 100% (existing customers expanding, not just staying), and customer acquisition payback under 18 months. For vertical SaaS, annual churn below 5% is the floor — you’re selling into a tight market where bad experiences travel fast.
These numbers together signal product-market fit and the early shape of a repeatable motion. Still searching signals the opposite.
Investors will also look at burn multiple: ARR generated per dollar burned. Under 1.5x reads as capital-efficient. Above 2x raises questions about unit economics at scale.
What kills raises that should have worked
The most common failure mode isn’t missing the metrics — it’s missing them in ways that suggest the business won’t behave predictably at scale.
Top three customers representing 60% of ARR is a concentration problem. Entirely founder-led acquisition with no handoff to a repeatable process is a scalability problem. $1.5M ARR that all arrived in Q4 while Q1–Q3 were flat is a timing problem. Series A investors want compounding curves. Lumpy catch-up growth doesn’t tell the same story.
Team is evaluated harder at Series A than at seed. Seed bets on a founder and an idea. A wants to see a company — at least one or two proven hires in product and go-to-market who aren’t founder-equivalent, because the business needs to grow beyond the founding team.
How to run the process
Most founders don’t realize they’re in Series A prep 9–12 months before they run the process. Treating the raise as something you do when you’re ready is the mistake. Building toward it systematically is what actually works.
Twelve months out: know your target metrics and track them weekly. Have warm introductions to six to eight target leads — not cold emails. Have a narrative about why this market, why now, why your company specifically. Not a deck that proves traction but leaves the “$500M company” logic to the reader’s imagination.
The founders who run efficient A processes have almost always been talking to the investors who eventually fund them for months before the formal process opens. The relationship is warm. The metrics are moving. The investor has watched them move.
What a venture studio changes about this
Built through a studio, the Series A math is often cleaner. Operational infrastructure during the first 12–18 months compresses the timeline. Cap tables are built from the start with the A in mind — no cleanup required before the process. Burn multiples tend to be healthier.
What you still need: product-market fit, a replicable sales motion, and a team that executes without studio support. The studio helps you get there faster. You still have to get there.
If you want to understand how the Alder model is designed to get operators to a Series A, read how we work. The path is specific and the timeline is real.