ads-budget

Analyze ad budgets and bidding across Google, Meta, LinkedIn, TikTok, and Microsoft platforms.

Updated Jun 1, 2026
One-click install
npx skills add https://github.com/Nikolaj-Storm/Mad-Minds --skill ads-budget-nikolaj-storm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ads-budget
Source: https://github.com/Nikolaj-Storm/Mad-Minds/tree/main/claude-ads/skills/ads-budget
Command: npx skills add https://github.com/Nikolaj-Storm/Mad-Minds --skill ads-budget-nikolaj-storm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Budget planning and bidding optimization across multiple ad platforms to improve ROAS and scale efficiently.

Core Features & Use Cases

  • Budget Allocation: Assess spend distribution using 70/20/10 framework and scaling rules to prioritize proven channels, promising tests, and new experiments.
  • Bidding Strategy: Recommend platform-specific bidding tactics (Google, Meta, LinkedIn, TikTok, Microsoft) based on performance data, targets, and benchmarks.
  • Use Case: Reallocate budget from underperforming campaigns to high-ROAS assets while preserving data quality and learning phases.

Quick Start

Initiate a full budget and bidding assessment using current campaign data and the references.

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 budgets across Google Ads and Meta?

To optimize ad budgets across platforms like Google Ads and Meta, you analyze spend, conversions, and revenue data using the 70/20/10 framework to distribute funds across proven channels, tests, and experiments for efficient scaling.

What is the best way to reallocate budget from underperforming campaigns?

The best way to reallocate budget from underperforming campaigns is to apply the 3x Kill Rule to identify failing assets and shift spend toward high-ROAS campaigns while preserving data quality and learning phases.

How does the 20% Scaling Rule work for advertising budgets?

The 20% Scaling Rule guides advertising budget scaling by incrementally increasing spend on high-performing campaigns, ensuring growth planning remains efficient without disrupting campaign learning phases or target metrics.

Do I need specific performance data to optimize multi-platform bidding strategies?

Yes, optimizing multi-platform bidding strategies requires specific campaign performance data including spend, impressions, clicks, conversions, and revenue, alongside your target metrics to generate a structured budget strategy report.

Can I use this budget allocation framework for LinkedIn and TikTok campaigns?

Yes, the budget allocation framework applies across LinkedIn, TikTok, Microsoft, and other ad platforms, recommending platform-specific bidding tactics based on your performance data and reference benchmarks.

When should I not scale an ad campaign using the 70/20/10 framework?

You should not scale an ad campaign using the 70/20/10 framework if it lacks sufficient performance data or falls into the 3x Kill Rule threshold, as scaling without proven ROAS and target metrics risks inefficient spend.