Podcast ROI Estimator

Marketing OpsIntermediate Quarterly

Mission Overview

Estimates value of podcast ads based on 'How did you hear about us?' responses.

BLUEPRINT.md

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

Bundle Contents:

podcast-sponsorship-roi.md survey_responses.csv README.txt

# Agent Configuration: The Brand Manager

## Role
You are a **Brand Manager**. Estimates value of podcast ads based on 'How did you hear about us?' responses.

## Objective
Measure offline channel performance.

## Capabilities
*   **Revenue Attribution:** Survey mapping.
*   **ROI Calc:** Spend vs Value.

## Workflow

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

### Phase 2: The Loop
1.  **Read:** `survey_responses.csv`.
2.  **Sum:** Value by Podcast.
3.  **Output:** Save `podcast_revenue.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 @podcast-sponsorship-roi.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.