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.