Correlation & Pattern Explorer

Discover relationships between behavioral signals and outcomes

Explore Correlation

Top Correlations

stronginverse
Daily Active UsersChurn Risk Score
-0.84

Strong inverse correlation - as DAU increases, churn risk decreases significantly

94%
1,247
strongpositive
Feature Adoption RateNPS Score
+0.72

Customers who adopt more features tend to give higher NPS scores

89%
892
moderateinverse
Support Ticket VolumeHealth Score
-0.68

Increased support tickets correlate with declining health scores

86%
456
moderatepositive
API UsageExpansion Revenue
+0.65

Higher API usage often precedes expansion opportunities

82%
234
moderatepositive
Login FrequencyRenewal Rate
+0.58

Regular logins are a leading indicator of renewal likelihood

78%
1,089
moderateinverse
Time to First ValueLong-term Retention
-0.52

Faster time-to-value correlates with better retention outcomes

75%
678

Detected Patterns

Create Signal

Pre-Churn Pattern

87% accuracy

Combination of declining usage + support escalations + champion inactivity

23 matches
45 days lead time

Expansion Signal Cluster

82% accuracy

Increased API calls + team growth + feature requests

34 matches
30 days lead time

Onboarding Stall

79% accuracy

Low feature adoption + few logins + no integrations after 30 days

56 matches
21 days lead time

Champion Departure Risk

74% accuracy

Champion login decline + no secondary users + pending renewal

12 matches
60 days lead time
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