B
Evidence Grade B
Graded
under review
Safe to Cite
Aging
15%
15% -- customer retention increase for European bank (case study) (2024)
Attribution:
View source
Lighthouse Research Team
Last verified:
·
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Source verified
Evidence graded
Value
15%
Unit
Percentage
Data Vintage
2024
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
50
Source Trust
60
Citation Chain
20
Independence
30
Methodology
45
Freshness
95
Source
diceus.com
Primary
Tier C
https://diceus.com/customer-analytics-software-for-banks/ ↗
Source Article
How Customer Analytics Software Helps Banks Excel
Iryna KravchenkoChief Editor
Customer analytics software for banking: A closer view
Learn more
Customer data analytics: A closer view
Benefits of customer analytics in banking
In-depth customer insights
Adopting informed decisions
Exploiting cross-selling and upselling opportunities
Fostering custom…
Original Research
diceus.com
· Original study ↗
Methodology
Single-company case study of ML-based churn prediction campaign
Methodology documented
Segmentation
Industryfinance
Cite this stat
Plain Text
European bank (case study): 15% customer retention increase. Source: diceus.com (2024). Via Lighthouse Intelligence -- https://lighthousedata.io/data/european-bank-churn-retention-increase
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<blockquote cite="https://lighthousedata.io/data/european-bank-churn-retention-increase" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>15%</strong> -- customer retention increase for European bank (case study)<br><small>Source: diceus.com (2024) · <a href="https://lighthousedata.io/data/european-bank-churn-retention-increase" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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