IdentifyOver 90 Days

Adaptive Cost Optimization Blueprint - Renewal

ID: 6153437-40

Potential Value

$10,000,000

Deal Value

$0

Stated Probability

25%

Days in Pipeline

372

Client & Account

Client

Momentum Capital

City

Chicago

Region

USLI

Sub-Sector

SLED

Service Classification

Service Line

Consulting

Field of Play

Technology

Opportunity Sub-SL

Technology

Competency

AI and Data Transformation

Global Service Code

TEC-Intelligent Analytics Platform (20383)

People & Dates

Partner

Roberts Andrea

Pursuit Leader

Ortiz Grace

Open Date

May 6, 2025

Anticipated Win Date

Dec 31, 2026

Close Date

N/A

Details

Description

Adaptive Cost Optimization Blueprint - Renewal

Triage & Expected Value

Triage Model: P(Pursue)

Predicts likelihood of pursuit vs. decline

P(Pursue)

41.8%

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

$527,390

Key Triage Drivers

Work type
+0.685
Service sub-line track record
-0.404
Opportunity business unit
+0.277

Win Probability Models

P(Pursue)

41.8%

Model A: Planning

12.6%

Model B: Early Signal

2.3%

Stated Probability

25%

Model A: Planning

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

Win Probability

12.6%

Key Drivers

Time in current pipeline stage
-1.745
Brand new pursuit (vs renewal)
-1.173
Deal size vs service line median
-0.874

Plain English

The model a: planning estimates a low probability of winning (13%). Factors working against: time in current pipeline stage, brand new pursuit (vs renewal), deal size vs service line median.

Model B: Early Signal

Excludes timeline factors. Better for early-stage assessment.

Win Probability

2.3%

Key Drivers

Deal size vs service line median
-0.852
Brand new pursuit (vs renewal)
-0.851
Service sub-line track record
-0.586

Plain English

The model b: early signal estimates a low probability of winning (2%). Factors working against: deal size vs service line median, brand new pursuit (vs renewal), service sub-line track record.