Customer Success · 8 KPIs
Customer Success KPI Templates: 8 Metrics That Predict Retention in 2026
Customer success teams own the largest revenue lever in any SaaS company: keeping the customers you already paid to acquire. The templates below cover the metrics that actually predict whether an account will renew, expand, or churn. They balance financial outcomes (NRR, GRR, logo churn) with leading indicators (health score, time to value, product adoption) so you can see problems before they show up in the renewal forecast. Each KPI includes a formula, a healthy range based on B2B SaaS benchmarks, and a review cadence that matches how fast the metric moves. Use them with sales and product KPIs for a complete revenue picture.
KPI #1 · Quarterly
Net Revenue Retention (NRR)
Formula
((Starting ARR + Expansion − Contraction − Churn) / Starting ARR) × 100, on the cohort that existed 12 months ago
Benchmark Range
100–120%
What good looks like
Above 110%. World-class SaaS sits at 120%+, with expansion outpacing churn.
What bad looks like
Below 90%. Means churn and downgrades are eating into the base.
KPI #2 · Quarterly
Gross Revenue Retention (GRR)
Formula
((Starting ARR − Contraction − Churn) / Starting ARR) × 100
Benchmark Range
85–95%
What good looks like
Above 90% for SMB, above 95% for mid-market and enterprise.
What bad looks like
Below 80%. Indicates structural product or fit issues, not just expansion gaps.
KPI #3 · Monthly
Logo Churn Rate
Formula
(Customers Lost in Period / Customers at Start of Period) × 100
Benchmark Range
0.5–1.5% monthly
What good looks like
Under 1% monthly for SMB, under 0.5% for mid-market.
What bad looks like
Above 2% monthly. At that pace, you replace your customer base every 4 years.
KPI #4 · Quarterly
Net Promoter Score (NPS)
Formula
% Promoters (9–10) − % Detractors (0–6)
Benchmark Range
30–50 (B2B SaaS)
What good looks like
Above 40 for B2B SaaS. Above 50 is strong; above 70 is exceptional.
What bad looks like
Below 0. Means more detractors than promoters and likely word-of-mouth headwinds.
KPI #5 · Weekly
Customer Health Score
Formula
Weighted composite of usage, support tickets, NPS, contract age, and exec engagement
Benchmark Range
Internal calibration; validate against renewal outcomes
What good looks like
Score correlates strongly with renewal outcomes in back-testing (AUC > 0.75).
What bad looks like
Score has no predictive power. Means weights are wrong or data is stale.
KPI #6 · Monthly
Time to Value (TTV)
Formula
Days from contract start to first measurable customer outcome
Benchmark Range
30–90 days depending on segment
What good looks like
Under 30 days for SMB, under 90 for enterprise. Faster TTV correlates with retention.
What bad looks like
Customers who haven't reached value by 90 days churn at 2–3x the base rate.
KPI #7 · Monthly
Product Adoption Rate
Formula
(Active Users on Key Feature / Total Licensed Users) × 100
Benchmark Range
50–80% on core features
What good looks like
Above 60% on the features tied to the core use case.
What bad looks like
Below 30% adoption on a paid feature. Strong signal of expansion risk or onboarding gap.
KPI #8 · Monthly
Expansion Revenue
Formula
Sum of Upsell + Cross-sell ARR Closed in Period
Benchmark Range
20–40% of new ARR
What good looks like
Expansion equal to or greater than new-business ARR for mature companies.
What bad looks like
Flat or declining expansion despite growing customer base. Adoption gap.
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