The seed market grew 4x in deal volume between 2019 and 2022. The Series A market did not.
That mismatch is now playing out in the data. Seed-to-Series A conversion rates have fallen from roughly 25% in 2019–2020 to 15–20% across 2022–2024 cohorts, per Crunchbase analysis. The gap isn't a blip — it's structural. And the average Series B funding amount in 2025 makes the math even more unforgiving for founders who do make it through.
I've seen this from both sides: as a 3x founder who raised through multiple cycles, and as an investor in 65+ companies. The companies that navigate this gap don't just meet the bar — they reset it. Here's what the data actually shows.
The Funding Funnel: Conversion Rates by Stage
The following conversion rates reflect PitchBook and Crunchbase cohort data for US-based startups (2021–2024 closes, tracked through 2025):
| Stage Transition | Conversion Rate | Median Time | Key Attrition Reason |
|---|---|---|---|
| Idea → Pre-Seed | ~30–40% | — | Can't recruit or prove demand |
| Pre-Seed → Seed | ~40–50% | 12–18 mo | No product-market signal |
| Seed → Series A | 15–20% | 18–24 mo | Revenue too low / growth too slow |
| Series A → Series B | ~45–55% | 18–30 mo | CAC payback, NRR, churn |
| Series B → Series C+ | ~60–70% | 18–24 mo | Market ceiling / competition |
Source: PitchBook, Crunchbase (US startups, 2021–2024 cohorts). Rates are approximations across sector and geo.
What the Average Series A and Series B Funding Amount Looks Like in 2025
Round sizes have compressed from 2021 peaks but remain elevated relative to 2018–2019 baselines. The AI premium is real and measurable:
Series A
Series B
Series C
AI-native companies are commanding a 20–30% valuation premium at each stage. A $10M ARR AI SaaS company growing 100% YoY is pricing Series B at $180–250M post-money vs. $140–180M for equivalent non-AI software.
Why Seed-to-Series A Conversion Has Fallen
Three structural forces explain why fewer seed companies are making it through:
1. The seed market over-expanded
From 2019 to 2022, US seed deal count grew from ~4,000 to ~12,000 annually per Crunchbase. Series A volume grew from ~2,200 to ~3,100 — a fraction of the pace. The funnel was always going to compress.
2. Series A investors repriced their return expectations
After 2022's correction, the median Series A investor needs to underwrite a 10x on entry. At a $50M post-money, that requires a $500M outcome — which means they need real evidence of $1M+ ARR and repeatable growth, not just a compelling narrative.
3. AI bifurcated the market
AI-native companies are clearing Series A in 12–15 months on $500K–2M ARR if they're showing 3x+ growth. Non-AI SaaS in competitive markets is now expected to show $2–3M ARR with strong NRR. The bar is stage-specific but also sector-specific.
What Series A Investors Actually Look For in 2025
The checklist has gotten longer and more specific. Institutional Series A investors are running tighter filters:
What Clears the Bar
- ✓ $1–3M ARR with 80–150% YoY growth (or pre-rev with exceptional user metrics)
- ✓ Burn multiple under 2x — ideally under 1.5x
- ✓ NRR above 110% for SaaS
- ✓ 3–5 reference customers with documented ROI
- ✓ Founder-market fit that's genuinely differentiated
- ✓ AI-native or AI-defensible core product
What Gets Passed On
- ✕ Revenue under $500K with declining growth
- ✕ Burn multiple above 3x at seed scale
- ✕ Large market with no clear wedge
- ✕ Enterprise-only with <3 paying customers
- ✕ No product differentiation from open-source or foundation models
- ✕ Founder inconsistency on core metrics
The Bridge Round Trap
One consequence of the funding gap: bridge rounds have become a default rather than an exception. In 2021, roughly 10–15% of seed-funded companies raised a bridge before Series A. By 2024, that figure is estimated at 30–40% of active seed cohorts per Carta data.
Bridge rounds are not inherently bad — they give founders more runway to hit the metrics that unlock institutional Series A interest. But they come with dilution, usually on SAFEs with valuation caps set during more optimistic times, and they delay the moment of truth.
The real risk of a bridge is that founders use it to survive rather than to win. The companies that close clean Series A rounds in 2025 aren't the ones that bridged twice — they're the ones that hit the revenue bar inside the original seed runway.
How to Navigate the Gap as a Founder
The playbook for closing a Series A in this environment is different from 2021. Here's what I tell founders in my portfolio:
Know your exact metrics before you start
ARR, growth rate, burn multiple, NRR, CAC payback — to two decimal places. Institutional investors will stress-test these. Founders who waffle lose credibility instantly.
Build relationships 6 months before you need money
Series A investors take 3–6 months to pattern-match on a company. The founders closing rounds fastest in 2025 started VC dinners and updates in month 12 post-seed, not month 20.
Target 25–30 institutional firms, not 100+
A wide process signals desperation. A tight, well-researched list of 25–30 funds with thesis fit signals conviction. Every partner meeting should be warm-introduced.
Make the Series B math obvious
Series A investors are underwriting to Series B. Show them the path: 'We close at $50M post, grow 3x, and are at $8M ARR in 18 months — that's a standard Series B setup.' The average Series B funding amount of $35–45M makes this math tractable if your growth rate is real.
Understand where you sit in the VC fund lifecycle
Funds in years 1–3 are actively deploying. Funds in years 4–5 are quieter on new bets. Use the Funds Dashboard to understand which Series A investors are in active deployment mode.
The Series A gap isn't a market failure. It's a filter.
Only the companies that figured out real growth — not growth theater — make it through.
Track VC fund performance and Series A benchmarks on the Benchmarking Dashboard at Value Add VC. Originally published in the Trace Cohen newsletter.