IdentifyPast Due

Optimized Cost Optimization Renewal

ID: 8966457-10

Potential Value

$40,000

Deal Value

$0

Stated Probability

50%

Days in Pipeline

181

Client & Account

Client

Crimson Council

City

Dallas

Region

USLI

Sub-Sector

SLED

Service Classification

Service Line

Tax

Field of Play

Tax

Opportunity Sub-SL

International Tax Transaction Services

Competency

ITTS - Advisory

Global Service Code

Grant Management (50417)

People & Dates

Partner

Patel Laurent

Pursuit Leader

Jones Joshua

Open Date

Nov 13, 2025

Anticipated Win Date

Feb 11, 2026

Close Date

N/A

Details

Description

Optimized Cost Optimization Renewal

Triage & Expected Value

Triage Model: P(Pursue)

Predicts likelihood of pursuit vs. decline

P(Pursue)

90.1%

Expected Value (EV = P(Pursue) × P(Win) × Value)

$33,453

Key Triage Drivers

Work type
+0.861
Opportunity business unit
+0.446
Market segment
-0.407

Win Probability Models

P(Pursue)

90.1%

Model A: Planning

92.8%

Model B: Early Signal

88.9%

Stated Probability

50%

Model A: Planning

Includes deal age and timeline factors. Best for active pipeline management.

Win Probability

92.8%

Key Drivers

Market segment
-1.527
Deal age (days since open)
-0.875
Brand new pursuit (vs renewal)
+0.846

Plain English

The model a: planning estimates a high probability of winning (93%). Factors working in favor: brand new pursuit (vs renewal). Factors working against: market segment, deal age (days since open).

Model B: Early Signal

Excludes timeline factors. Better for early-stage assessment.

Win Probability

88.9%

Key Drivers

Market segment
-0.751
Brand new pursuit (vs renewal)
+0.723
Account business unit
-0.722

Plain English

The model b: early signal estimates a high probability of winning (89%). Factors working in favor: brand new pursuit (vs renewal). Factors working against: market segment, account business unit.