B
Evidence Grade B
Graded
accuracy verified by the review judge
Safe to Cite
Current
93.3%
93.3% -- churn prediction auc for Telecom churn prediction models (2026)
Telecom churn prediction models reach an AUC of 93.3%.
Attribution:
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Lighthouse Research Team
Last verified:
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Source verified
Evidence graded
Value
93.3%
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
60
Citation Chain
20
Independence
30
Methodology
60
Freshness
95
Source
almeta.cloud
Primary
Tier B
https://almeta.cloud/blog/predict-customer-churn-ml ↗
Source Article
How Machine Learning Detects Customer Churn Weeks in Advance
Original Research
almeta.cloud
· Original study ↗
Methodology
Published study cited
Methodology documented
Segmentation
Industrymarketing
Cite this stat
Plain Text
Telecom churn prediction models: 93.3% churn prediction auc. Source: almeta.cloud (2026). Via Lighthouse Intelligence -- https://lighthousedata.io/data/telecom-churn-model-auc-93-3
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<blockquote cite="https://lighthousedata.io/data/telecom-churn-model-auc-93-3" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>93.3%</strong> -- churn prediction auc for Telecom churn prediction models<br><small>Source: almeta.cloud (2026) · <a href="https://lighthousedata.io/data/telecom-churn-model-auc-93-3" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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