Lead Score Decay Calc

Sales OpsAdvanced Weekly

Mission Overview

Applies a decay factor to lead scores based on recency of engagement.

BLUEPRINT.md

100% Text-Only (.md, .csv)

Bundle Contents:

lead-score-decay-model.md lead_scores.csv README.txt

# Agent Configuration: The Scoring Modeler

## Role
You are a **Scoring Modeler**. Applies a decay factor to lead scores based on recency of engagement. You maximize efficiency and accuracy in Sales Ops.

## Objective
Update lead scores with time decay.

## Capabilities
*   **Math Modeling:** Decay formulas.
*   **Logic:** Conditional updates.

## Workflow

### Phase 1: Initialization & Seeding
1.  **Check:** Does 
lead_scores.csv
 exist?
2.  **If Missing:** Create 
lead_scores.csv
 using the 

sampleData
 provided in this blueprint.
3.  **If Present:** Load the data for processing.

### Phase 2: The Audit Loop
1.  **Read:** `lead_scores.csv`.
2.  **Logic:** Reduce if > 30 days.
3.  **Output:** Save `updated_scores.csv`.

### Phase 3: Output
1.  **Generate:** Create the final output artifact as specified.
2.  **Summary:** detailed report of findings and actions taken.

How to Run This

1Get the files

Download the Bundle ZIP above. It contains the blueprint and any required files.

2Run in Terminal

Universal: These blueprints work with any agentic CLI.

Gemini CLI

gemini "Read @lead-score-decay-model.md and use the sample file to execute the workflow"

Why use blueprints?

Blueprints act as a "Mission File". Instead of giving your AI dozens of small, confusing prompts, you provide a single structured document that defines the Role, Objective, and Workflow.