ABM Dashboard — Target Account Selection & ICP Fit Scoring

Prism DataLayer • Q3 FY2025 • ICP Model v2.1 Active

North-Star: Qualified Pipeline Yield Rate (Target: 25%) Mission: Prevent $180K annual waste on sub-threshold accounts
Last Sync
Dec 15, 2024 14:22 UTC
Total Target Accounts
147
+12 vs Q2
Avg ICP Fit Score
71.3
-2.8 pts (drift)
TAM Coverage Rate
18.4%
+3.1%
Selection Churn Rate
8.2%
+1.4% (above 6% threshold)
Tech Stack Match
82.7%
+5.3%
ICP Model Accuracy
87.4%
+9.2% (v2 improvement)
ICP Fit Score Distribution (Current TAL)
Threshold: 65+ (Tier-1: 80+, Tier-2: 70-79, Tier-3: 65-69)
Account Tier Composition
34
Tier-1 (23%)
58
Tier-2 (39%)
55
Tier-3 (37%)
Technographic Stack Match Score by Category
Segment Saturation Index (TAM Coverage)
Segment TAL Count TAM Size Coverage % Saturation
E-Commerce 42 218 19.3%
FinTech 38 164 23.2%
B2B SaaS 34 297 11.4%
Healthcare IT 21 129 16.3%
MarTech 12 82 14.6%
Account Health Trajectory — 90-Day ICP Fit Score Trend
Avg fit score declining due to model drift — v2.1 recalibration in progress
Lookalike Account Queue (High-Similarity, Not Yet on TAL)
Account Name Industry Employee Count Tech Stack Match Similarity Score Recommended Tier
Quantum Commerce Inc E-Commerce 780 91% 88.3 Tier-1
Velocity Payments FinTech 620 86% 85.7 Tier-1
Nexus Health Systems Healthcare IT 510 78% 79.2 Tier-2
DataFlow Solutions B2B SaaS 430 82% 76.8 Tier-2
Apex Marketing Cloud MarTech 350 74% 72.1 Tier-2
Horizon E-com Platform E-Commerce 290 69% 68.4 Tier-3
First-Party Signal Density (Avg per Account)
Higher signal density correlates with 34% faster qualification cycles
Account List Overlap with Competitor Targets
Competitor A 23 accounts (15.6%)
Competitor B 18 accounts (12.2%)
Competitor C 31 accounts (21.1%)
Unique to Prism 98 accounts (66.7%)
Overlap above 20% per competitor triggers differentiation review
ICP Model v2 Performance vs v1 — Pipeline Yield Improvement
+9.2%
Accuracy Gain
-18 days
Avg Sales Cycle
$167K
Est. Annual Savings