Why BenchmarkHQ exists

Every quarter, a VP Finance at a $5M ARR SaaS company sits down to prep a board deck. She downloads the same three free reports — KeyBanc, SaaS Capital, OpenView — and immediately hits the same wall: the benchmarks don't apply to her company.

The free reports are great research, but they're designed for $20M–$100M+ ARR companies. The metrics, the benchmarks, the "good vs. great" thresholds — they all reflect a different stage of company. If you're at $3M ARR, comparing your CAC payback to a $50M ARR peer is actively misleading.

Enterprise research solves this with custom peer groups — but it costs $10,000–$50,000 per engagement. That's not accessible to the $1–20M ARR operator who needs the data most.

Our mission: Give $1–20M ARR SaaS operators access to the same quality of peer benchmarks that used to require an enterprise research budget — for the cost of a dinner out.

We synthesize 15+ industry sources into a single normalized dataset, segment it by the ARR bands that actually matter ($1–5M, $5–10M, $10–20M), and publish fresh quarterly benchmarks. No subscriptions to 15 different sources. No spreadsheet reconciliation. No guesswork about whether the data applies to you.

What we measure and who we cover

BenchmarkHQ tracks 20+ key SaaS metrics across 800+ B2B SaaS companies in the $1–20M ARR range. Every metric includes median, p25, and p75 (top quartile) values — segmented by ARR band, GTM motion (SMB, Mid-Market, Enterprise, PLG), ACV range, and vertical where data is available.

800+B2B SaaS companies tracked
15+Industry sources synthesized
20+Key metrics per report
QuarterlyNew report cadence
8 qtrsHistorical data on day one

Core metrics covered: Net Revenue Retention, ARR Growth Rate, Logo Churn, Gross Margin, CAC Payback Period, LTV:CAC, Magic Number, Rule of 40, Burn Multiple, Expansion MRR %, DAU/MAU, S&M as % of Revenue, R&D as % of Revenue, G&A as % of Revenue, Headcount per $1M ARR, and more.

Expert research enhanced with AI analysis

We're transparent about how this works: expert-curated research, enhanced with AI-powered synthesis. Every data point starts with authoritative primary sources. AI is used to normalize, reconcile, and structure the data — not to invent numbers.

1

Source collection

We pull from 15+ primary benchmark reports published quarterly and annually by leading SaaS research firms, VC firms, and fintech platforms — including Benchmarkit, KeyBanc Capital Markets, SaaS Capital, Maxio, Recurly, OpenView Partners, and others.

2

Normalization and reconciliation

Different sources define metrics differently. We apply a consistent definitional framework (documented in our full methodology) and use weighted reconciliation when sources conflict — prioritizing sample size and recency. Conflicts are documented, not hidden.

3

ARR band segmentation

We filter and reweight data to produce band-specific benchmarks across 5 bands — <$1M, $1–5M, $5–10M, $10–20M, and $20–50M ARR — reflecting the real differences in unit economics, churn rates, and growth expectations at each stage.

4

Quarterly publishing and update cycle

Core benchmark reports are published quarterly. Database refreshes within 2–3 weeks of quarter-end. You'll always know the vintage of each data point — no stale benchmarks passed off as current.

Read the full methodology → — including definitional notes, source weights, reconciliation approach, and known limitations.

Benchmarkit SaaS Capital KeyBanc Capital Markets Maxio Recurly hiBob Lighter Capital OpenView Partners Pacific Crest Bessemer Cloud Index a16z SaaS Metrics ChartMogul Benchmarks Meritech SaaS Comps + 3 more

Built for the $1–20M ARR window

The $1–20M ARR window is where benchmarks matter most. You're past early-stage noise, but you're not large enough for the enterprise research that VCs use. Most free benchmark reports implicitly assume $10M+ ARR — which means their "median" is someone else's company, not yours.

BenchmarkHQ is specifically built for:

Not the right fit: Enterprise companies ($50M+ ARR) have access to tailored research. Pre-revenue / pre-PMF startups are better served by YC resources. This is specifically for operators in the $1–20M ARR window where generic free reports don't cut it.

Behind BenchmarkHQ

BenchmarkHQ is built by Eugene C. Posniewski and operated by Dynakai Industries LLC. We're an independent research product — not a VC-backed company trying to grow a team. That means no sales calls, no upsells, and no fluff. Just the data.

Get in touch

Questions about the data, methodology, or membership? Email support@rubato-pgzy.polsia.app. We respond within 1 business day.

For press or research partnership inquiries, use the same address with "Press" or "Partnership" in the subject line.

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