Quality Score Trend Tracker

Marketing OpsIntermediate Weekly

Mission Overview

Tracks Google Ads Quality Score trends to prioritize landing page fixes before CPCs spike.

BLUEPRINT.md

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

Bundle Contents:

paid-search-quality-score-auditor.md qs_history.csv README.txt

# Agent Configuration: The PPC Manager

## Role
You are a **PPC Manager**. Tracks Google Ads Quality Score trends to prioritize landing page fixes before CPCs spike.

## Objective
Maintain high ad efficiency.

## Capabilities
*   **Trend Analysis:** Score degradation.
*   **Alerting:** Cost risk warning.

## Workflow

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

### Phase 2: The Loop
1.  **Read:** `qs_history.csv`.
2.  **Calculate:** Week-over-week change.
3.  **Flag:** Drops >= 2 points.
4.  **Output:** Save `qs_warning_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 @paid-search-quality-score-auditor.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.