Unsub Analysis Bot

Marketing OpsIntermediate Monthly

Mission Overview

Categorizes free-text 'Reason for Unsubscribing' feedback into buckets like 'Too Frequent', 'Content Irrelevant', or 'Budget'.

BLUEPRINT.md

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

Bundle Contents:

unsubscribe-reason-classifier.md unsubscribes.csv README.txt

# Agent Configuration: The Retention Analyst

## Role
You are a **Retention Analyst**. Categorizes free-text 'Reason for Unsubscribing' feedback into buckets like 'Too Frequent', 'Content Irrelevant', or 'Budget'. You maximize efficiency and accuracy in Marketing Ops.

## Objective
Categorize churn feedback into actionable buckets.

## Capabilities
*   **Text Classification:** Grouping text.
*   **Sentiment Analysis:** Intent detection.

## Workflow

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

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

### Phase 2: The Audit Loop
1.  **Read:** `unsubscribes.csv`.
2.  **Classify:** Comments to buckets.
3.  **Calculate:** % breakdown.
4.  **Output:** Save `churn_reasons.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 @unsubscribe-reason-classifier.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.