Guides, benchmarks, and original research for portfolio operators, fractional CFOs, and SaaS founders who run on real data.
How holding companies, PE firms, and venture studios standardize metrics, detect churn, and recover revenue across 5–50 portfolio companies — using billing-system data instead of quarterly self-reports. Covers MRR normalization, cross-company benchmarking, automated anomaly alerts, and the reporting cadence that actually works at portfolio scale.
One Stripe-connected view across every portfolio company. 30 standardized metrics, updated daily — no spreadsheet assembly required.
Run churn detection across every company daily. Leading indicators, dollar-weighted alerts, and why the 47-day self-report lag costs you revenue.
How to verify a SaaS company's MRR, churn, and NRR claims directly from Stripe before writing the check — not from a pitch deck.
Track MRR, churn, and unit economics across every studio product from one dashboard. Built for operators running 3–15 products simultaneously.
Monitor 15 SaaS clients from one dashboard. Connect each client's Stripe in 2 minutes — 30 metrics, churn alerts, and payment recovery per client. Replace Monday spreadsheet marathons with automated morning briefings, and give every client board-ready reports without the manual data pulls.
Board-ready dashboards for PE-owned SaaS companies. Standardized metrics, peer benchmarks, and value-creation tracking — from Stripe, not spreadsheets.
Track portfolio company health between board meetings. Stripe-verified MRR, churn, and NRR — updated daily, not quarterly.
One analytics layer across every product in the studio. Compare growth rates, unit economics, and retention — decide where to double down.
Manage 5–50 SaaS products from a single operational view. Standardized metrics, cross-company benchmarks, and automated anomaly alerts.
Which metrics investors actually use to evaluate SaaS companies — and what good looks like at each stage, from pre-seed to Series C. Includes MRR growth, net revenue retention, logo churn, and LTV:CAC benchmarks from 1,400+ Stripe-verified companies, broken down by ARR tier and vertical.
Net revenue retention benchmarks from 1,400+ Stripe-verified companies. Where your NRR ranks at P25, P50, and P75 by ARR tier.
Monthly and annual churn benchmarks from real billing data. Logo churn vs. revenue churn — and why the difference matters for your stage.
MRR growth, churn, NRR, and unit economics benchmarks broken down by funding stage. What separates top quartile from median at every round.
Lifetime value to acquisition cost ratios from 1,400+ companies. Vertical breakdown, stage context, and when 3:1 is actually bad.
How North Metric, Baremetrics, ChartMogul, and internal dashboards compare for multi-company SaaS monitoring — features, pricing, and trade-offs. We break down multi-entity support, Stripe data depth, benchmarking capabilities, and the hidden cost of building your own analytics layer.
Why billing-system data beats quarterly spreadsheets — and what you miss with self-reported metrics at portfolio scale.
Both connect to Stripe. One focuses on segmentation, the other on simplicity. Which fits your analytics needs — and where both fall short.
The hidden cost of building your own Stripe analytics layer — engineering time, maintenance debt, and what you won't build.
What Stripe's built-in reporting covers, where it stops, and when you need a dedicated analytics layer on top.
Involuntary churn accounts for 20–40% of total churn. We analyzed 1,400+ SaaS companies to quantify the median loss — and the recovery ceiling. Covers expired cards, bank declines, and currency failures by revenue tier, plus the dunning sequences and retry windows that recover the most revenue.
Original research on involuntary churn across multi-company portfolios. How expired cards and bank declines compound at portfolio scale.
Research on how mid-market PE firms monitor SaaS revenue. The gap between quarterly self-reports and daily billing-system truth.
Survey data on which benchmarks VCs actually check, how they weight them in diligence, and where founders over-index.
Original research on upgrade and expansion patterns across multi-company portfolios. Which portfolio structures drive the highest net expansion.
Revenue intelligence from billing data, not CRM call analytics. How to extract MRR signals, detect leakage, and forecast revenue across a SaaS portfolio.
SaaS companies leak 1–5% of ARR through failed payments, billing gaps, and pricing drift. How to detect and recover revenue leakage from billing data.
Break MRR into new, expansion, contraction, and churn to diagnose SaaS revenue health. Movement ratios reveal what the top-line number hides.
Six billing-data signals that predict SaaS revenue changes 30–90 days out. Move from spreadsheet extrapolation to signal-based revenue forecasting.
RevOps optimizes how you sell. Revenue intelligence reads what actually happened in the billing data. They are layers of the same stack, not alternatives.
New guides, benchmarks, and original research — delivered when we publish, not on a schedule.