PursueWithin 30 Days

Automated Cost Optimization Enhancement

ID: 4541366-20

Potential Value

$350,000

Deal Value

$0

Stated Probability

75%

Days in Pipeline

177

Client & Account

Client

Foundation Strategic Resources

City

Dallas

Region

USLI

Sub-Sector

FED

Service Classification

Service Line

Consulting

Field of Play

Finance

Opportunity Sub-SL

Finance´

Competency

Finance Transformation, Strategy & Vision

Global Service Code

Policy Development (30982)

People & Dates

Partner

Walker Melissa

Pursuit Leader

Price Victoria

Open Date

Nov 17, 2025

Anticipated Win Date

May 1, 2026

Close Date

N/A

Details

Description

Automated Cost Optimization Enhancement

Triage & Expected Value

Triage Model: P(Pursue)

Predicts likelihood of pursuit vs. decline

P(Pursue)

95.7%

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

$326,507

Key Triage Drivers

Work type
+0.739
Non-recurring work
+0.728
Recurring/additional sale
+0.562

Win Probability Models

P(Pursue)

95.7%

Model A: Planning

97.5%

Model B: Early Signal

91.7%

Stated Probability

75%

Model A: Planning

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

Win Probability

97.5%

Key Drivers

Brand new pursuit (vs renewal)
+1.603
Lead sales credit %
-0.794
Deal age (days since open)
-0.577

Plain English

The model a: planning estimates a high probability of winning (98%). Factors working in favor: brand new pursuit (vs renewal). Factors working against: lead sales credit %, deal age (days since open).

Model B: Early Signal

Excludes timeline factors. Better for early-stage assessment.

Win Probability

91.7%

Key Drivers

Brand new pursuit (vs renewal)
+0.981
Recurring/additional sale
+0.551
Currency (USD vs other)
-0.503

Plain English

The model b: early signal estimates a high probability of winning (92%). Factors working in favor: brand new pursuit (vs renewal), recurring/additional sale. Factors working against: currency (usd vs other).