B
Evidence Grade B
Graded
accuracy verified by the review judge
Safe to Cite
Current
26.1%
26.1% -- ai adoption for churn prediction for CS teams using AI (2026)
According to Velaris's 2026 research, 26.1% of Customer Success teams using AI apply it to churn and expansion prediction.
Attribution:
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Lighthouse Research Team
Last verified:
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Source verified
Evidence graded
Value
26.1%
Unit
Percentage
Data Vintage
2026
Entity
Evidence Quality
B
Strong, reliable evidence
Sourced from a well-regarded research firm or industry leader with transparent methodology and a reasonably large sample.
Single source - not yet corroborated
Score breakdown
Extraction
75
Source Trust
50
Citation Chain
60
Independence
30
Methodology
45
Freshness
95
Source
Velaris
Primary
Tier B
https://www.velaris.io/articles/churn-prediction-models-what-they-are-how-to-build-them ↗
Source Article
Churn Prediction Models: What They are and How to Build Them
Original Research
Velaris
· Original study ↗
Methodology
Velaris’s 2026 research
Methodology documented
Segmentation
Industrymarketing
Cite this stat
Plain Text
CS teams using AI: 26.1% ai adoption for churn prediction. Source: Velaris (2026). Via Lighthouse Intelligence -- https://lighthousedata.io/data/velaris-2026-churn-prediction-study
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<blockquote cite="https://lighthousedata.io/data/velaris-2026-churn-prediction-study" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>26.1%</strong> -- ai adoption for churn prediction for CS teams using AI<br><small>Source: Velaris (2026) · <a href="https://lighthousedata.io/data/velaris-2026-churn-prediction-study" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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