B Evidence Grade B Graded accuracy verified by the review judge Safe to Cite Recent

95%

95% -- churn prediction accuracy for Cleeng ChurnIQ AI churn models (2025)

2025  · Cleeng

Cleeng's ChurnIQ AI churn models predict subscriber cancellation likelihood with 95% accuracy.

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Attribution: Cleeng View source
Lighthouse Research Team
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Source verified Evidence graded
Value
95%
Unit
Percentage
Data Vintage
2025
Entity
Cleeng ChurnIQ AI churn models
B
Strong, reliable evidence

Sourced from a well-regarded research firm or industry leader with transparent methodology and a reasonably large sample.

61/100 confidence

Single source - not yet corroborated

Extraction
95
Source Trust
60
Citation Chain
20
Independence
30
Methodology
45
Freshness
95
Cleeng Primary Tier A
https://blog.cleeng.com/how-to-win-back-lost-subscribers-campaign-examples-and-strategies ↗
Confidence: 57/100 Vintage: 2025 Channel: Wayback
Source Article
How to Win Back Lost Subscribers: Campaign Examples and Strategies
Every subscription business, no matter how successful, faces the challenge of churn—subscribers leaving your service. Whether it’s due to price sensitivity, lost interest, or competition, lapsed subscribers represent lost revenue and untapped opportunities for growth. But here’s what most successful…
Original Research
Cleeng · Original study ↗

First-party vendor claim on Cleeng's official blog regarding its own ChurnIQ retention analytics product; no model methodology, dataset, or study date disclosed. Article undated; vintage set to crawl collection year (Jan 2025).

Methodology documented
Industrymarketing
Plain Text
Cleeng ChurnIQ AI churn models: 95% churn prediction accuracy. Source: Cleeng (2025). Via Lighthouse Intelligence -- https://lighthousedata.io/data/cleeng-churniq-churn-prediction-accuracy
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<blockquote cite="https://lighthousedata.io/data/cleeng-churniq-churn-prediction-accuracy" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>95%</strong> -- churn prediction accuracy for Cleeng ChurnIQ AI churn models<br><small>Source: Cleeng (2025) · <a href="https://lighthousedata.io/data/cleeng-churniq-churn-prediction-accuracy" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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