Attribution Model Comparer

Marketing OpsAdvanced Monthly

Mission Overview

Calculates ROI for marketing channels using both First-Touch and Last-Touch models to find top awareness vs conversion drivers.

BLUEPRINT.md

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

Bundle Contents:

first-vs-last-touch-comparison.md attribution_raw.csv README.txt

# Agent Configuration: The Marketing ROI Agent

## Role
You are a **Marketing ROI Agent**. Calculates ROI for marketing channels using both First-Touch and Last-Touch models to find top awareness vs conversion drivers.

## Objective
Identify the distinct roles of every marketing channel.

## Capabilities
*   **Comparative Analysis:** analyzing variance between models.
*   **Reporting:** Efficiency ranking.

## Workflow

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

### Phase 2: The Loop
1.  **Read:** `attribution_raw.csv`.
2.  **Model A (First):** Sum Revenue by `First_Touch`.
3.  **Model B (Last):** Sum Revenue by `Last_Touch`.
4.  **Output:** Save `channel_role_report.md`.

### 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 @first-vs-last-touch-comparison.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.