ads-budget

Analyze cross-platform ad budgets and bidding strategies across Meta, Google, TikTok, LinkedIn, and Microsoft Ads.

58|12|Updated Apr 29, 2026
One-click install
npx skills add https://github.com/Hainrixz/claude-ads --skill ads-budget-hainrixz
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ads-budget
Source: https://github.com/Hainrixz/claude-ads/tree/main/skills/ads-budget
Command: npx skills add https://github.com/Hainrixz/claude-ads --skill ads-budget-hainrixz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the complexity of managing multi-platform ad budgets by providing a unified, data-driven framework for allocation, bidding, and performance optimization.

Core Features & Use Cases

  • Budget Allocation: Applies the 70/20/10 rule to balance proven, scaling, and testing channels.
  • Bidding Strategy: Provides decision trees for Google, Meta, LinkedIn, TikTok, and Microsoft Ads to maximize ROAS.
  • Performance Auditing: Identifies campaigns to kill or scale based on strict data-backed thresholds like the 3x Kill Rule and 20% Scaling Rule.

Quick Start

Ask the ads-budget skill to analyze your current ad spend data and provide a prioritized list of campaigns to scale or pause.

Frequently Asked Questions about ads-budget

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

FAQPage Schema
How do I optimize ad budget allocation across multiple platforms?

Ad budget allocation applies the 70/20/10 rule to balance proven, scaling, and testing channels across Meta, Google, TikTok, LinkedIn, and Microsoft Ads. This framework evaluates cross-platform performance data to generate actionable health scores and identify scaling opportunities.

When should I scale or pause underperforming ad campaigns?

Pause or scale ad campaigns based on strict data-backed thresholds like the 3x Kill Rule and the 20% Scaling Rule. Performance auditing evaluates your campaign data against standardized industry benchmarks to identify underperforming ads and scaling opportunities.

What is the best bidding strategy to maximize ROAS on Google and Meta?

The best bidding strategy to maximize ROAS uses decision trees tailored for Google, Meta, LinkedIn, TikTok, and Microsoft Ads. It evaluates cross-platform advertising bidding strategies against performance data to improve marketing efficiency.

Can I audit advertising performance for both LinkedIn and TikTok campaigns?

Yes, you can audit advertising performance for LinkedIn and TikTok campaigns. The framework analyzes performance data across Meta, Google, TikTok, LinkedIn, and Microsoft Ads to identify scaling opportunities and generate optimization reports.

Why does my multi-platform ad spend need a unified budgeting framework?

Multi-platform ad spend needs a unified budgeting framework to solve the complexity of managing disparate allocation and bidding strategies. It provides a data-driven framework to evaluate performance, apply standardized industry benchmarks, and improve marketing efficiency.