ad-spend-allocator

Analyze multi-channel ad performance and generate phased budget reallocation plans.

1.1k|200|Updated Mar 2, 2026
One-click install
npx skills add https://github.com/gooseworks-ai/goose-skills --skill ad-spend-allocator-gooseworks-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ad-spend-allocator
Source: https://github.com/gooseworks-ai/goose-skills/tree/main/skills/composites/ad-spend-allocator
Command: npx skills add https://github.com/gooseworks-ai/goose-skills --skill ad-spend-allocator-gooseworks-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze and reallocate ad budgets across multiple channels to maximize return on ad spend, reducing waste and underperforming spend.

Core Features & Use Cases

  • Normalize channel metrics (CPAs, CAC, ROAS) across Google, Meta, LinkedIn, and others.
  • Generate data-driven budget reallocation plans with scenario-based recommendations.
  • Produce a ready-to-share report detailing current state, recommended changes, and KPIs.

Quick Start

Provide your current monthly ad spend data and revenue goals to generate a recommended budget allocation.

Frequently Asked Questions about ad-spend-allocator

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

FAQPage Schema
How do I reallocate ad budgets to maximize ROAS across multiple channels?

Reallocate ad budgets to maximize ROAS by analyzing multi-channel performance data like spend, CPA, and revenue to generate a concrete, phased reallocation plan. This reduces wasted spend and optimizes returns.

What metrics do I need to provide for multi-channel budget allocation analysis?

Multi-channel budget allocation requires input data such as monthly spend, CPC, CPA, conversions, and revenue for each channel. The tool normalizes these metrics to evaluate efficiency and rank channel performance.

Can I use this to normalize CPA and CAC metrics for Google, Meta, and LinkedIn ads?

Yes, you can normalize CPA and CAC metrics across Google, Meta, LinkedIn, and other paid channels. The analysis applies data normalization to ensure fair efficiency ranking and funnel coverage before recommending budget changes.

What is the best way to create a data-driven budget reallocation plan for paid channels?

The best way to create a data-driven budget reallocation plan is to analyze current channel performance and revenue goals to produce scenario-based recommendations. This yields a ready-to-share report detailing current state and recommended changes.

Does the budget reallocation plan include specific KPIs and phased recommendations?

Yes, the reallocation plan includes specific KPIs and phased recommendations. It produces a ready-to-share report detailing the current state, recommended changes, and target KPIs to maximize return on ad spend.