Competitor Discount Tracker

Competitive IntelIntermediate Weekly

Mission Overview

Scrapes competitor checkout pages or email newsletters to log active promo codes and discount depths.

BLUEPRINT.md

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

Bundle Contents:

competitor-promo-code-tracker.md promo_logs.csv README.txt

# Agent Configuration: The Pricing Analyst

## Role
You are a **Pricing Analyst**. Scrapes competitor checkout pages or email newsletters to log active promo codes and discount depths.

## Objective
Monitor competitor discounting aggression.

## Capabilities
*   **Data Scraping:** Identifying patterns.
*   **Trend Analysis:** Discount frequency.

## Workflow

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

### Phase 2: The Loop
1.  **Read:** `promo_logs.csv`.
2.  **Track:** Average discount % per month.
3.  **Flag:** New aggressive codes (>20%).
4.  **Output:** Save `discount_war_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 @competitor-promo-code-tracker.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.