OKR Examples · 9 min read
Customer Success OKRs: Real Examples Across Retention, Health, and Expansion
Customer success OKRs are harder to write than most people expect because the function sits at an awkward intersection: CS is measured on revenue outcomes (NRR, churn, expansion) but drives those outcomes through relationship and process work that's harder to connect directly to numbers. The best CS OKRs thread this needle — they measure the outcome while also tracking the leading indicators that predict whether you'll get there.
Published May 2026 · OKIAR Editorial
Retention OKRs
KR1: Gross Revenue Retention: 84% → 91% (rolling 12-month).
KR2: Accounts with a health score below "at risk" threshold who have received a proactive outreach in the past 30 days: 31% → 95%.
KR3: Average days between last meaningful touchpoint and churn: 47 days → under 14.
KR2 here is the process KR — it's measuring whether the team is doing the behavior (proactive outreach to at-risk accounts) that should produce the outcome (lower churn). KR3 is a leading indicator that tells you whether you're catching problems early enough. All three together give a fuller picture than just "improve GRR."
Health score OKRs
KR1: Health score correlation with 90-day renewal outcome: validate score model achieves ≥0.72 correlation (from unmeasured).
KR2: Accounts with health score ≥"healthy": 38% → 61%.
KR3: Health score updated weekly for 100% of accounts (currently 52% updating weekly).
Health score accuracy (KR1) is rarely measured. Most CS teams use a health score that "feels right" without validating whether it actually predicts churn. Building that validation — even once — tells you whether the inputs your CSMs are tracking actually matter, or whether you've built an elaborate system around the wrong signals.
Expansion OKRs
KR1: Net Revenue Retention: 91% → 108%.
KR2: Expansion ARR sourced by CS team: $0 → $85k in Q3.
KR3: Accounts where CS identifies and surfaces an expansion opportunity (qualified by sales): 4% → 22% of book.
Onboarding OKRs
KR1: Days to "success milestone" (defined by product team): 34 days → 12 days.
KR2: Onboarding completion rate (vs. abandoned mid-flow): 61% → 84%.
KR3: 30-day post-onboarding check-in CSAT: 3.4/5 → 4.3/5.
"Success milestone" needs to be defined explicitly — the specific action or state that indicates the customer has received value. "They logged in" is too weak. "They've processed their first 100 transactions" or "they've completed their first OKR cycle" is specific enough to be meaningful. Defining this forces product and CS to align on what "value" actually means.
Customer advocacy OKRs
KR1: Active reference accounts (willing to take calls): 3 → 18.
KR2: Case studies published with specific ROI data: 1 → 6.
KR3: G2 / Capterra reviews from verified users: 12 → 40.
Scaled CS OKRs (high-volume, low-touch)
KR1: Accounts per CSM: 48 → 120 (without reducing health score average).
KR2: Self-serve help article deflection rate: 31% → 58% of support tickets.
KR3: Churn from accounts in "digital-only" tier: match or beat high-touch churn rate.
The vanity metrics problem in CS
CS teams love QBR completion rates, EBR cadences, and touchpoint frequency — all of which measure activity, not outcome. The uncomfortable truth is that a customer who receives 12 touchpoints per quarter and still churns was not well-served. The question isn't "how often did we talk?" It's "did talking to us make them more successful?"
The best CS OKRs have an unambiguous answer to "did this improve customer outcomes?" If the KR can be green while customers are churning at the same rate, it's the wrong KR.
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