Beagle
Low ConfidenceBeagle uses AI to identify renters insurance coverage gaps and offer tenant legal liability waivers, turning compliance into a new revenue stream. Headquartered in San Francisco, CA and founded in 2019, the company helps property managers launch insurance and resident benefit programs quickly.
Resident Benefits
VPI Score Breakdown
Component scores use Bayesian smoothing so scores stay reliable when response counts are low.
NPS
40% of VPI Score
+100.0
NPS (-100 to +100)
Performance
20% of VPI Score
86.7 out of 100
out of 100
Ease of Use
15% of VPI Score
78.3 out of 100
out of 100
Support Quality
15% of VPI Score
75.0 out of 100
out of 100
Pricing
5% of VPI Score
85.8 out of 100
out of 100
Credibility
5% of VPI Score
75.0 out of 100
out of 100
Data Confidence & Momentum
— StableBayesian smoothing pulls scores toward the industry prior when data is limited; Effective N and raw vs smoothed values show how much the score is adjusted.
Effective N
2.0
Raw Responses
2
Tier
ListedScores
Raw: 95.5 · Smoothed: 80.2
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VPI Head-to-Head
6-axis comparison across all VPI components. Scores are Bayesian-smoothed for fair comparison.
+100.0
NPS
+6%
86.7
Performance
+1%
78.3
Ease
+6%
75.0
Support
+7%
85.8
Pricing
+3%
75.0
Credibility
-6%
Beagle generates 7% better support quality than Industry Average.
See how they stack up against the competition
Compare Beagle head-to-head with 90 other vendors
VPI Performance Comparison
Comparing Beagle vs Industry Average. All values are Bayesian-smoothed for reliability.
Performance Insight: Beagle outperforms Industry Average by 5.0 pts in Support.
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