What US Series A investors actually look for

A founder sent us a deck last month where the ARR chart showed $4.2M with 180% YoY growth. Strong numbers. The problem surfaced in diligence: the top three customers were 68% of ARR, two were on monthly contracts, and one was a pilot that hadn't converted to paid. The deal died in week three. The headline ARR number got the meeting. The quality of that ARR killed it.

Series A has gotten harder. The median time from seed close to Series A close reached 616 days in Q2 2025 according to CRV's published expectations, more than 20 months and the longest interval in a decade. The bar moved up, the timing moved out, and the weighting shifted from growth at any cost to efficient growth with retention. This is the working brief on what investors actually check, distilled from CRV's data, AlleyWatch's March deal flow, and the patterns we see in Phase 2.

March saw 108 Series A deals close in the US, $4.79B raised, median round $23.9M, average $44.4M. The expected ARR band for B2B SaaS is $1-5M. Top-quartile growth in that band is 200%+ YoY. Burn multiple under 2x is table stakes; under 1.5x is the real bar. And 616 days from seed to A means you need 18-20 months of clean metrics before you go out, not 6.

ARR is the entry ticket, but quality determines the outcome

$1M ARR is the floor for most B2B SaaS Series A. $3-5M is the comfortable range. Below $1M, you need exceptional growth or a non-ARR proof point like massive enterprise pilots or a technical moat that's hard to replicate. But as CRV flags explicitly, two companies reporting $5M in ARR can have materially different risk profiles. Investors pressure-test the quality.

Customer concentration matters. A single customer over 30% of ARR triggers deep questions about renewal risk. We've seen deals stall when the top three customers represent more than 50% of ARR and none of them have multi-year contracts. Contract structure matters too: annual beats quarterly, multi-year beats annual, pre-paid annual beats net-30 monthly billing.

NRR can mask churn if expansion revenue is hiding it. Investors will ask for gross logo retention and gross revenue retention separately. Logo retention under 80% in B2B SaaS is a red flag. They'll also ask whether revenue cohorts are improving or degrading over time—a cohort of customers acquired in 2024 should retain better than 2022 cohorts if the product is improving. If it's not, that's a signal the product isn't compounding.

Channel concentration is another kill point. Acquisition concentrated in one channel (just inbound, just outbound, just partnerships) is risky. Investors want to see 2-3 proven channels, not just one that's working today but might not scale.

Growth rate is the valuation lever

Absolute ARR gets you in the door. Growth rate determines how investors value what you've built. For companies in the $1-5M band, 100-150% YoY is strong. 200%+ YoY is top quartile. The old T2D3 benchmark (Triple, Triple, Double, Double, Double) is still meaningful—it's not just legacy thinking, it's the growth curve that gets you to $100M ARR in five years from $2M.

NRR expectations vary by segment. SMB SaaS can get away with 100% NRR; 110%+ is strong. Mid-market SaaS needs 110-120%. Enterprise SaaS investors expect 120%+, and best-in-class is 130%+. If you're selling to enterprises and your NRR is under 110%, the question becomes whether you're actually selling to enterprises or just calling them that.

Gross margin matters more now than it did two years ago. Pure SaaS should be at 75%+, ideally 80%+. Marketplaces run 20-40% blended. D2C needs 50%+ contribution margin. AI products are under more scrutiny than they were in 2024 because inference cost is real—AI companies running at 50% gross margin get flagged. The question investors ask is whether gross margin improves as you scale or whether it's structural.

CAC payback period is CAC divided by monthly gross profit per customer. Under 12 months is healthy. Under 6 months is strong. Over 18 months is a yellow flag at Series A. And burn multiple—net burn divided by net new ARR—has gained the most weight this year as the efficient-growth thesis hardened. Under 1.5x is good, under 1x is exceptional, over 2x is concerning.

Team gaps kill deals as often as metric gaps

Investors expect a CEO with clear vision and operating discipline, a head of product (CTO or VP Product) with material early product wins, and a head of GTM (VP Sales, VP Marketing, or strong founder-led GTM with a clear plan to hire). The engineering team needs depth, not just breadth. One or two senior advisors who are credible operators in your space help, but they don't substitute for missing executives.

Founders raising Series A without a clear "who runs what" answer get pushed to wait. If your VP Sales is not named, name them as part of the round. We've seen this work: signed offer letter contingent on close, candidate briefed on the round, intro'd to the lead investor during diligence. It de-risks the GTM plan.

Product-market fit is triangulated, not declared

Investors don't take your word for product-market fit. They triangulate it through product velocity (are you shipping faster than competitors), customer interviews (Series A often includes 2-5 reference calls during diligence), sales motion clarity (inbound vs outbound mix, average deal size, win rate against named competitors), pipeline coverage (pipeline should be 3-4x your next-quarter target; below 2x signals you're going to miss), and reference customers willing to be named. Anonymous case studies are weaker.

What kills deals at diligence: customer reference calls that go badly, undisclosed liabilities, product debt that surfaces in code review, and missed revenue recognition. The diligence process runs 4-8 weeks from term sheet to close. Week one is term sheet signed. Weeks 1-2 are customer reference calls (3-7 customers). Weeks 2-3 are product and engineering review. Weeks 2-4 are financial diligence by accounting firm or in-house team. Weeks 3-5 are legal diligence. Weeks 4-6 are final IC and definitive documents. Weeks 5-8 are close and wire.

Brief your reference customers in advance. Tell them what the investor is likely to ask (product roadmap, support responsiveness, whether they'd buy again, whether they'd recommend you). A reference call where the customer says "the product works but support is slow and we're evaluating alternatives" ends the deal.

Valuation is a function of quartile, not narrative

March median was $23.9M raised at typical posts of $80-150M. Top-quartile growth plus top-quartile retention gets you $120-180M post. Median growth plus median retention gets you $70-110M post. Below median, the round becomes hard. Most below-median companies don't close Series A this year—they either extend runway and improve metrics or they do a bridge and try again in 12 months.

AI-native frontier companies are disproportionately higher, sometimes $200M+ on $2-3M ARR if the team and thesis are exceptional. But that's not the median. The median is $80-110M post on $3-5M ARR with strong growth and retention.

The five mistakes we see: insisting on 2024 valuations when the market has reset, hiding bad metrics (investors find them, so lead with the explanation), going to market with one channel (pipeline concentration is a Series A killer), skipping the team gap (if your VP Sales is not named, name them as part of the round), and underestimating customer reference calls (brief customers in advance).

Run the metric checklist honestly. Identify the 1-2 weak metrics. Build a 90-day plan to fix them before formal outreach. Identify your VP Sales and VP Engineering candidates and get signed offers contingent on close. Brief 5 reference customers and confirm they'll take diligence calls. Calibrate valuation expectations against this year's medians, not 2024 peaks.

We map warm intros to active Series A investors and help founders build the diligence packet that survives weeks 2-5. Book a call if you're raising.