ads-budget

Evaluate ad budget allocation and bidding strategies across advertising platforms.

1|Updated Apr 13, 2026
One-click install
npx skills add https://github.com/yahav123147/paid-ads-cro-skills --skill ads-budget-yahav123147
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ads-budget
Source: https://github.com/yahav123147/paid-ads-cro-skills/tree/main/skills/ads-budget
Command: npx skills add https://github.com/yahav123147/paid-ads-cro-skills --skill ads-budget-yahav123147

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It solves inefficient ad spend by diagnosing allocation, bidding appropriateness, and scaling readiness, then producing actionable kill and scale recommendations.

Core Features & Use Cases

  • Cross-platform budget allocation review: applies a 70/20/10 distribution to re-balance spend across proven, scaling, and testing channels.
  • Platform-specific bidding strategy guidance: selects and justifies bidding modes (e.g., Google Search decision logic, Meta bidding types, LinkedIn message/send vs cost control, TikTok efficiency vs caps).
  • Kill/scale decisioning with data sufficiency checks: enforces minimum observation windows (≥14 days for evaluation, ≥20 clicks or ≥$100 spend for pause recommendations) and flags weak campaigns via CPA/ROAS/CTR rules.
  • MER (Marketing Efficiency Ratio) assessment: evaluates blended efficiency using MER to guide overall health beyond per-platform ROAS.
  • Deliverable-ready recommendations: outputs a structured budget & bidding report including scale list, kill list, MER analysis, and quick wins.

Quick Start

Ask the skill to review your ad budget and bidding strategy for the last 14+ days across all active platforms and return a kill list, a scale list, and a recommended budget split.

Frequently Asked Questions about ads-budget

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

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

Ad budget optimization uses a 70/20/10 distribution rule to re-balance spend across proven, scaling, and testing channels. This reduces wasted spend by evaluating performance data over at least 14 days to produce actionable kill and scale recommendations.

What is the 3x kill rule for pausing underperforming ad campaigns?

The 3x kill rule pauses underperforming ad campaigns when their CPA exceeds three times the target benchmark. To ensure data sufficiency, this kill rule requires at least 20 clicks or $100 in spend before flagging weak campaigns for termination.

How do I assess scaling readiness before increasing my ad spend?

Scaling readiness assessment evaluates bidding strategy effectiveness and performance health using MER and ROAS outcomes. It enforces a minimum 14-day observation window and applies a 20% scaling rule to campaigns that meet consistent performance benchmarks.

Which bidding strategy should I use for Google Search and Meta ads?

Bidding strategy selection uses platform-specific decision trees to justify bidding modes, applying Google Search decision logic and Meta bidding types. It also evaluates LinkedIn cost controls and TikTok efficiency caps to optimize CPA and ROAS outcomes.

What is MER in marketing and how does it evaluate ad spend health?

MER, or Marketing Efficiency Ratio, evaluates blended ad spend efficiency to guide overall health beyond per-platform ROAS. It is assessed alongside allocation and bidding appropriateness to diagnose inefficient spend and generate a structured budget report.

What data do I need to review my ad bidding strategy and kill list?

Reviewing ad bidding strategy requires ingesting spend and performance data over a minimum 14-day observation window. You must provide consistent performance and benchmark inputs across all active platforms to generate accurate kill and scale recommendations.