IdentifyOver 90 Days

Unified ERP Implementation Blueprint - Phase 3

ID: 2600172-20

Potential Value

$1,000,000

Deal Value

$1,000,000

Stated Probability

10%

Days in Pipeline

1252

Client & Account

Client

Coastal Municipal Consulting

City

Boston

Region

USLI

Sub-Sector

SLED

Service Classification

Service Line

Consulting

Field of Play

Technology

Opportunity Sub-SL

Technology

Competency

Business Transformation through Cloud

Global Service Code

TEC-Cloud Infrastructure Modernization (20668)

People & Dates

Partner

Thomas Yong

Pursuit Leader

Parker Gregory

Open Date

Dec 8, 2022

Anticipated Win Date

Jun 22, 2027

Close Date

N/A

Details

Description

Unified ERP Implementation Blueprint - Phase 3

Triage & Expected Value

Triage Model: P(Pursue)

Predicts likelihood of pursuit vs. decline

P(Pursue)

84.0%

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

$751,643

Key Triage Drivers

Non-recurring work
+0.906
Work type
+0.709
Recurring/additional sale
+0.387

Win Probability Models

P(Pursue)

84.0%

Model A: Planning

89.5%

Model B: Early Signal

89.5%

Stated Probability

10%

Model A: Planning

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

Win Probability

89.5%

Key Drivers

Time in current pipeline stage
-1.721
Brand new pursuit (vs renewal)
+1.531
Lead sales credit %
-0.751

Plain English

The model a: planning estimates a high probability of winning (89%). Factors working in favor: brand new pursuit (vs renewal). Factors working against: time in current pipeline stage, lead sales credit %.

Model B: Early Signal

Excludes timeline factors. Better for early-stage assessment.

Win Probability

89.5%

Key Drivers

Brand new pursuit (vs renewal)
+1.228
OpportunityType Additional Sales Opportunity
+0.550
Deal size vs service line median
-0.486

Plain English

The model b: early signal estimates a high probability of winning (90%). Factors working in favor: brand new pursuit (vs renewal), opportunitytype additional sales opportunity. Factors working against: deal size vs service line median.