Lead Generation — Lead Scoring & Quality Intelligence
Corvin Analytics · Model v2.1 · 28,400 Active Leads
Avg. Score Decay (30d)
18pts
MQL-to-SQL Conversion Rate by Score Band
Anomaly Detected: Score band 91-100 converts at only 28%, lower than 81-90 band at 39%. Indicates over-weighted behavioral signals in top band.
Score Inflation Rate Trend (13 Weeks)
Firmographic Signal Weight Accuracy
Behavioral Score Decay Heatmap (12-Week Cohorts)
Cohort Week
W0
W1
W2
W3
W4
W6
W8
W10
W12
W16
W20
W24
W30
Week 1
87
82
76
71
67
58
51
46
42
38
34
31
28
Week 2
85
80
74
69
65
56
49
44
40
36
32
29
26
Week 3
91
86
79
74
70
61
54
49
45
41
37
34
30
Week 4
88
83
77
72
68
59
52
47
43
39
35
32
28
Week 5
84
79
73
68
64
55
48
43
39
35
31
28
25
Week 6
89
84
78
73
69
60
53
48
44
40
36
33
29
Color scale: Dark green (80+) to white (25-30). Average decay: 18 points per 30 days.
Model Precision & Recall (6 Months)
Score-to-Revenue Correlation by Vertical
Competitive Intent Signal Rate
14.2%
of MQLs show G2/Bombora signals
Avg. Time-in-Stage (Days)
Lead Quality Detail by Segment
| ICP Tier × Vertical |
Leads |
Avg Score |
MQL-SQL % |
SQL-Opp % |
Avg ARR |
Score Inflation |
| Tier 1 · Financial Services |
1,240 |
82 |
42% |
61% |
$68K |
11% |
| Tier 1 · Healthcare |
890 |
79 |
38% |
58% |
$71K |
13% |
| Tier 1 · Technology |
1,520 |
84 |
39% |
64% |
$63K |
18% |
| Tier 2 · Financial Services |
2,140 |
74 |
31% |
52% |
$48K |
24% |
| Tier 2 · Healthcare |
1,680 |
71 |
28% |
49% |
$45K |
26% |
| Tier 2 · Technology |
3,210 |
76 |
33% |
55% |
$51K |
20% |
| Tier 3 · Financial Services |
4,320 |
68 |
22% |
38% |
$32K |
29% |
| Tier 3 · Healthcare |
3,580 |
65 |
19% |
35% |
$29K |
31% |
| Tier 3 · Technology |
5,920 |
70 |
25% |
42% |
$35K |
27% |
| Other Verticals |
3,900 |
63 |
18% |
31% |
$27K |
33% |
Firmographic Signal Predictive Weight vs. Actual Conversion
Each point = one firmographic signal. X-axis: model weight (0-100). Y-axis: actual MQL-SQL conversion rate. Diagonal = perfect calibration.