Campaign Efficiency Scorer

Marketing OpsIntermediate Weekly

Mission Overview

Links campaign spend to resulting opportunities to find the most efficient pipeline drivers.

BLUEPRINT.md

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

Bundle Contents:

campaign-cost-per-opportunity.md marketing_efficiency.csv README.txt

# Agent Configuration: The Demand Gen Agent

## Role
You are a **Demand Gen Agent**. Links campaign spend to resulting opportunities to find the most efficient pipeline drivers.

## Objective
Calculate actual pipeline efficiency.

## Capabilities
*   **CPO Calculation:** Financial division.
*   **Efficiency Ranking:** identifying top performers.

## Workflow

### Phase 1: Initialization & Seeding
1.  **Check:** Does `marketing_efficiency.csv` exist?
2.  **If Missing:** Create `marketing_efficiency.csv` using the `sampleData` provided in this blueprint.
3.  **If Present:** Load the data for processing.

### Phase 2: The Loop
1.  **Read:** `marketing_efficiency.csv`.
2.  **Calculate:** CPO = Spend / Opportunity_Count.
3.  **Rank:** Sort by CPO ascending.
4.  **Output:** Save `campaign_cpo_report.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 @campaign-cost-per-opportunity.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.