SaaS benchmarks like Bessemer or OpenView publish useful indices, but they force outdated NAICS codes or broad “software” categories, making peer comparisons irrelevant.
Our segment goes deeper: every row is a company × country × subscription tier, capturing pricing, trials, onboarding friction, ARPU, subscribers, financial resilience, and people growth. We link subscription mechanics with headcount and financial strength, then tag everything with your taxonomy, making the benchmarks directly actionable.
We scan SaaS pricing, trials, and onboarding friction across geographies. We link adoption economics with people scaling (headcount, senior hires) and financial resilience (solvency, cash runway, debt ratio). We apply your taxonomy at scale, delivering benchmarks that match your strategy.
This segment is activated with a blend of trusted sources and your own inputs
AI reasoning
Curated APIs
Open Datasets
Web intelligence
This sample illustrates how each row combines company × country × subscription tier. You can see tier-level pricing, trial strategy, onboarding friction scores with explanatory comments, as well as ARPU and subscriber estimates flagged as reported, inferred, or benchmarked.
The dataset also includes financial resilience indicators such as solvency risk, debt ratio, and cash runway, together with people signals like headcount growth and senior hires. Growth indicators (ARR growth %, NRR proxy) are included for investor use cases. All rows are confidence-scored and tagged to your custom taxonomy, making the benchmarks directly actionable.