CS & SaaS Statistics Hub (2026)

Bootstrapped SaaS companies between $3M and $20M ARR post a median Net Revenue Retention of 103% and Gross Revenue Retention of 91%. Top performers reach 117.9% NRR and 100% GRR.

Median Gross Revenue Retention across B2B SaaS fell from 88% to 84% this year, with the 75th percentile dropping from 95% to 91%. On a $10M ARR base, a four-point GRR shift works out to roughly $400,000 in additional annual revenue leakage.

40% of net-new ARR at the median SaaS company now comes from expansion revenue rather than new logos, rising to 44% at low-growth companies.

Usage-based pricing companies post a median 108% NRR, compared to 98% for seat-based pricing.

74% of customer and post-sales leaders say most of their company's revenue now comes from existing customers rather than new business.

Companies using a dedicated Customer Success Platform average 100% NRR compared to 94% for companies without one, a correlation observed across survey respondents rather than a controlled study.

Customers of a leading CS platform support roughly 25% more accounts per CSM in commercial and enterprise segments than non-customers, and nearly 70% more in SMB.

Analyst research from TSIA finds that many CS teams still rely on subjective health scores that don't reliably predict churn, and points to unified, continuously-learning models as the more reliable alternative.

62% of CS leaders lack real-time visibility into customer progress during onboarding, and one in three admit they don't know where a given customer stands at any given moment.

57% of companies that cut onboarding investment saw churn rise within six months. The same share of leaders say onboarding friction directly impacts revenue realization.

66% of engagement leaders say customers who reach first value within 30 days are significantly more likely to renew and expand. 51% report that a meaningful share of their base fails to take meaningful action in the first 90 days.

57% of onboarding teams now report into the CRO or Revenue Operations. 69% of companies have built dedicated onboarding functions rather than relying on generalist CSMs.

Best-in-class benchmarks: time-to-first-value under 14 days, onboarding completion above 80%, and post-onboarding CSAT of 4.5 or higher.

Only 25% of organizations describe their customer experience technology as fully harmonized and integrated, while 29% remain highly fragmented. Fragmented organizations report struggling to turn customer data into action at a higher rate: 58%, compared to 47% at harmonized companies.

Data quality and integration issues are cited more than any other factor, 39%, as the top cause of delayed or derailed transformation projects, ahead of budget, technology maturity, and talent.

60% of companies still use four to six different tools for customer onboarding alone. Only 13% of SMBs use a purpose-built onboarding solution, and 74% run onboarding on some mix of spreadsheets, email, and generic project tools.

TSIA identifies fragmented systems as the biggest barrier to effective AI in customer success: sales owns the CRM, support owns ticketing, CS owns success plans, and product owns usage data, with no single team holding a unified view.

A survey of nearly 200 CS and post-sale leaders found AI adoption is real and growing, but most teams are still experimenting, focused mainly on internal productivity rather than retention outcomes. The most persistent gap identified wasn't the technology itself, it was unclear ownership of AI within the post-sale organization.

AI-based customer research is now the default discovery method for 51% of CS teams, up from 12% eighteen months earlier, the steepest adoption curve of any customer-facing function measured.

Customers of a leading CS platform are 13% more likely to adopt AI overall, and significantly more likely to apply it specifically to churn prediction and sentiment analysis.