paid-ads

Name: paid-ads
Availability: InStock
Author: twuanminn

Optimize paid advertising campaigns across Google Ads, Meta, LinkedIn, and Twitter.

Updated Jan 26, 2026

Search Tags:#advertising #multiplatform #campaign-optimization #audience-targeting #paid-ads #roas

Ready to run

npx skills add https://github.com/TwuanMinn/fadelab --skill paid-ads-twuanminn

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: paid-ads
Source: https://github.com/TwuanMinn/fadelab/tree/main/.agent/skills/skills/paid-ads
Command: npx skills add https://github.com/TwuanMinn/fadelab --skill paid-ads-twuanminn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps users plan, execute, and optimize paid advertising campaigns across Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, and other platforms to improve ROAS and reduce CPA.

Core Features & Use Cases

Campaign strategy formulation covering objectives, budgets, timelines, and success metrics
Ad creation guidance including copy, creative angles, testing plans, and iteration
Audience targeting, bidding, and budget optimization across multi-platform channels
Use Case: Launch a multi-channel campaign for a new product and optimize toward a target ROAS

Quick Start

Provide a complete paid ads plan for my product, including goals, audiences, budgets, and the first two ad concepts.

Frequently Asked Questions about paid-ads

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

FAQPage Schema

How do I optimize paid ads across multiple platforms to improve ROAS?▼

Multi-platform paid ads optimization requires supplying campaign goals, audience data, and landing pages to formulate strategy, generate ad copy, and allocate budgets across Google Ads, Meta, LinkedIn, and Twitter to maximize ROAS.

What is the best way to structure a multi-channel campaign strategy for a new product?▼

A multi-channel campaign strategy is formulated by defining campaign objectives, budgets, timelines, and success metrics to guide ad creation, audience targeting, and performance analysis across Google Ads, Meta, LinkedIn, and Twitter.

Do I need historical performance data to optimize audience targeting and CPA?▼

Yes, optimizing audience targeting and controlling CPA requires access to historical performance data, campaign goals, and audience data to tailor actionable recommendations for bidding and budget allocation.

How do I create ad copy and testing plans for B2B and B2C paid advertising?▼

Creating ad copy and testing plans for B2B and B2C paid advertising involves using campaign goals and audience data to generate creative angles, ad copy, and iteration plans that improve ROAS across Google Ads, Meta, LinkedIn, and Twitter.

Why does my CPA spike when allocating budget across Google Ads and Meta?▼

Your CPA spikes during budget allocation across Google Ads and Meta due to unoptimized audience targeting or bidding strategies. Analyzing historical performance and adjusting budget allocation helps maximize ROAS while controlling CPA.