bid_optimization

Analyze campaign performance data to generate bid adjustment recommendations.

1|Updated Mar 7, 2026
One-click install
npx skills add https://github.com/Synter-Media-AI/free-skills --skill bid-optimization
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bid_optimization
Source: https://github.com/Synter-Media-AI/free-skills/tree/main/skills/bid-optimization
Command: npx skills add https://github.com/Synter-Media-AI/free-skills --skill bid-optimization

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of analyzing ad performance data to recommend precise bid adjustments, helping to improve Return on Ad Spend (ROAS) and reduce Cost Per Acquisition (CPA).

Core Features & Use Cases

  • Day-Parting: Adjusts bids based on hourly conversion performance to maximize efficiency.
  • Device Modifiers: Optimizes bids across Desktop, Mobile, and Tablet based on performance data.
  • Audience Targeting: Refines bids for specific audiences (in-market, remarketing, custom) to improve ROAS and CPA.
  • Use Case: Automatically adjust bids for your Google Ads campaigns to bid higher during peak conversion hours and on devices that historically perform better, while reducing bids during off-peak times or on underperforming devices.

Quick Start

Use the bid_optimization skill to analyze campaign_data.csv and generate bid recommendations.

Frequently Asked Questions about bid_optimization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize Google Ads bids using historical performance metrics?

To optimize Google Ads bids, analyze historical performance metrics to recommend precise bid adjustments. This process evaluates campaign data to enhance profitability across dimensions like time of day, device type, and audience segments.

What is day parting in Google Ads and how does it improve ROAS?

Day parting adjusts bids based on hourly conversion performance to maximize campaign efficiency. Modifying bids during peak conversion hours directly improves Return on Ad Spend (ROAS) by capitalizing on high-converting time periods.

How do I use device modifiers to reduce Cost Per Acquisition?

Device modifiers optimize bids across Desktop, Mobile, and Tablet based on performance data. By allocating higher bids to historically better-performing devices and reducing underperforming device bids, you effectively reduce Cost Per Acquisition (CPA).

Do I need Google Ads API data exports for audience targeting bid optimization?

Yes, you need Google Ads API data exports or equivalent structured performance logs for analysis. This data is required to refine bids for specific audiences like in-market, remarketing, and custom segments to improve ROAS.

Can I automate bid adjustments for my Google Ads campaigns using a CSV file?

Yes, you can analyze a campaign_data.csv file to automatically generate bid recommendations. This allows you to systematically adjust bids for peak hours and optimal devices while reducing off-peak underperforming bids.