B
Evidence Grade B
Graded
accuracy verified by the review judge
Safe to Cite
Current
1
1 -- roc auc for Propensity model for never-contacted prospects (2026)
The ROC-AUC for the propensity model on never-contacted prospects is 0.7464.
- Trained on UCI Bank Marketing dataset excluding duration feature to avoid data leakage
Attribution:
View source
Lighthouse Research Team
Last verified:
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Source verified
Evidence graded
Value
1
Unit
Score
Data Vintage
2026
Entity
Sample Size
36,954
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
55
Freshness
95
Source
Mike's Data Marketing
Primary
Tier B
https://mikesdatamarketing.com/article-archive/ ↗
Source Article
The Marketing Science Signal
Why Propensity-to-Buy Prospecting Matters
- Precision Resource Allocation: It identifies the prospects with the highest likelihood to purchase, allowing marketing and sales teams to focus their budget and energy where it will yield the highest return.
- Relevant Communication: By profiling high-pote…
Original Research
Mike's Data Marketing
· Original study ↗
Methodology
Average Precision 0.3114; five-fold CV 0.7567 ± 0.0101
Methodology documented
Segmentation
Industrymarketing
Cite this stat
Plain Text
Propensity model for never-contacted prospects: 1 roc auc. Source: Mike's Data Marketing (2026). Via Lighthouse Intelligence -- https://lighthousedata.io/data/prospect-model-auc-0-7464
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<blockquote cite="https://lighthousedata.io/data/prospect-model-auc-0-7464" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>1</strong> -- roc auc for Propensity model for never-contacted prospects<br><small>Source: Mike's Data Marketing (2026) · <a href="https://lighthousedata.io/data/prospect-model-auc-0-7464" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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