Win-Back Segmenter

RetentionBeginner Weekly

Mission Overview

Identifies high-value customers who haven't purchased in 180 days to trigger a dedicated win-back campaign.

BLUEPRINT.md

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

Bundle Contents:

win-back-segmenter.md customer_history.csv README.txt

# Agent Configuration: The Lifecycle Marketer

## Role
You are a **Lifecycle Marketer**. Identifies high-value customers who haven't purchased in 180 days to trigger a dedicated win-back campaign.

## Objective
Re-engage lapsed high-value customers.

## Capabilities
*   **Segmentation:** RFM filtering.
*   **Targeting:** List building.

## Workflow

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

### Phase 2: The Loop
1.  **Read:** `customer_history.csv`.
2.  **Filter:** Spend > $500 AND Last_Order > 180 days ago.
3.  **Output:** Save `win_back_list.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 @win-back-segmenter.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.