B2B SaaS Metrics & Benchmarks Cheat Sheet

What's the difference between Net Dollar Retention and Gross Dollar Retention, and which one should I actually be tracking?

Gross Dollar Retention (GDR) measures how much revenue you kept from existing customers, excluding any expansion — it's a pure churn signal. Net Dollar Retention (NDR) layers in upsells, cross-sells, and usage growth on top of that, so it can exceed 100% if expansion outpaces churn. Track both: GDR tells you how well you're holding the base, NDR tells you whether your existing customer base is growing revenue on its own. If your NDR is strong but GDR is weak, you're papering over a churn problem with expansion.

The benchmarks in this cheat sheet vary a lot by segment — SMB, mid-market, enterprise. How do I know which column applies to my business?

Use your average contract value (ACV) as the primary filter: SMB is typically sub-$10K ACV, mid-market is $10K–$100K, and enterprise is $100K+. If you're selling across segments, don't average the benchmarks together — track each segment separately or you'll end up with numbers that don't reflect reality for any of them. A blended CAC payback period, for example, will mask the fact that your enterprise deals are taking 22 months to pay back while your SMB deals are at 8.

Do I need a dedicated BI tool to calculate these metrics, or can I pull most of this from my CRM and billing system?

For the sales and pipeline metrics — win rate, pipeline coverage, sales cycle length — your CRM should have what you need if your data hygiene is solid. The financial and retention metrics like NDR, GDR, CAC Payback, and Burn Multiple require clean subscription and revenue data, which typically means pulling from your billing system (Stripe, Chargebee, etc.) and reconciling it with your CRM. A spreadsheet can handle this at early stages, but once you're past $2–3M ARR with meaningful customer counts, a purpose-built tool or a data warehouse query layer will save you significant manual work.

How do I know if my Magic Number is actually telling me something useful, or if it's being distorted by timing issues?

The Magic Number uses the prior quarter's sales and marketing spend against the current quarter's net new ARR, which means a big hiring quarter or a lumpy enterprise deal can skew it significantly. Run it on a trailing four-quarter average alongside the single-quarter view to smooth out the noise. If your Magic Number is below 0.75 consistently over multiple quarters, that's a real signal to investigate — but a single bad quarter often reflects a timing mismatch, not a structural efficiency problem.

Which of these metrics should I be reviewing weekly versus quarterly?

Weekly: pipeline velocity, MQL response time, sales activity metrics, and support ticket volume — these are operational signals that go stale fast. Monthly: MRR, churn rate, CAC, and conversion rates through the funnel. Quarterly: Rule of 40, Magic Number, LTV/CAC, NDR, and burn multiple — these are strategic health checks that need enough data to be meaningful and shouldn't be reacted to on a week-to-week basis. Mixing the cadences is where teams get into trouble, either over-rotating on lagging indicators or ignoring leading ones.

What data do I need to have clean before I can trust the CAC Payback Period number this cheat sheet references?

You need three things to be accurate and consistently defined: total sales and marketing spend (including salaries, tools, and agency fees — not just ad spend), the number of new customers acquired in the same period, and your gross margin percentage. The formula is CAC divided by (ARPA × Gross Margin), so if your gross margin is wrong or your ARPA is blended across wildly different contract sizes, the payback period will be misleading. Audit your COGS allocation first — most early-stage teams undercount what belongs there, which inflates gross margin and makes payback look shorter than it is.