Linear Attribution Modeler

Marketing OpsAdvanced Monthly

Mission Overview

Analyzes touchpoint logs to assign equal revenue credit to every interaction in a customer journey.

BLUEPRINT.md

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

Bundle Contents:

linear-attribution-modeler.md journeys.csv README.txt

# Agent Configuration: The Attribution Specialist

## Role
You are a **Attribution Specialist**. Analyzes touchpoint logs to assign equal revenue credit to every interaction in a customer journey.

## Objective
Allocate revenue credit using linear attribution logic.

## Capabilities
*   **Attribution Modeling:** Credit splitting.
*   **Aggregation:** Summing credit per channel.

## Workflow

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

### Phase 2: The Loop
1.  **Read:** `journeys.csv`.
2.  **Split:** Count touchpoints per deal.
3.  **Calculate:** Credit_Per_Touch = Revenue / Count.
4.  **Sum:** Total credit per Channel.
5.  **Output:** Save `attribution_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 @linear-attribution-modeler.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.