paid-ads

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

Updated Jan 12, 2026

Search Tags:#conversion #performance marketing #google ads #roas #ppc #meta ads

Ready to run

npx skills add https://github.com/giosuetedeschi-spec/bobu-website --skill paid-ads-giosuetedeschi-spec

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: paid-ads
Source: https://github.com/giosuetedeschi-spec/bobu-website/tree/main/.claude/skills/paid-ads
Command: npx skills add https://github.com/giosuetedeschi-spec/bobu-website --skill paid-ads-giosuetedeschi-spec

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the complexity of managing multi-platform advertising campaigns, helping users optimize their ad spend, improve conversion rates, and scale performance across Google, Meta, LinkedIn, Twitter, and TikTok.

Core Features & Use Cases

Campaign Strategy: Provides frameworks for account structure, naming conventions, and budget allocation to ensure efficient testing and scaling.
Creative Optimization: Offers proven copy formulas (PAS, BAB) and creative best practices for both image and video assets to maximize engagement.
Performance Analysis: Guides users through weekly and monthly review checklists to monitor key metrics like CPA, ROAS, and CTR, enabling data-driven adjustments.

Quick Start

Use the paid-ads skill to audit my current Meta campaign structure and suggest improvements for lowering my CPA.

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 advertising campaigns across multiple platforms like Google and Meta?▼

You can optimize paid advertising campaigns by applying strategic frameworks for audience targeting, creative development, and budget management. This approach ensures efficient testing and scaling across major platforms while adhering to specific tracking and attribution best practices.

What is the best way to structure my Meta Ads account to lower CPA?▼

The best way to lower CPA is implementing proper campaign strategy frameworks, including structured account organization and strict naming conventions. This facilitates better algorithmic learning and enables data-driven budget allocation to improve overall conversion rates.

How do I improve conversion rate optimization for my current PPC campaigns?▼

You improve conversion rate optimization by executing systematic A/B testing and utilizing proven copy formulas like PAS and BAB. Regular performance analysis using weekly checklists to monitor CTR and ROAS ensures continuous creative and targeting adjustments.

Can I scale performance marketing campaigns across TikTok, Twitter, and LinkedIn simultaneously?▼

Yes, you can scale performance marketing across these platforms by applying unified budget management and creative optimization frameworks. The process requires adapting platform-specific best practices for tracking and algorithmic learning phases to ensure efficient scaling.

Why does my ROAS drop during the algorithmic learning phase of my Google Ads campaigns?▼

Your ROAS may drop during the learning phase because algorithms need sufficient conversion data to stabilize targeting and bidding. Minimizing unnecessary campaign edits and following platform-specific best practices allows the system to optimize effectively.

What metrics should I track during a weekly performance marketing review?▼

During a weekly performance marketing review, you should track key metrics like CPA, ROAS, and CTR. Using structured checklists to monitor these metrics enables data-driven adjustments to your audience targeting and budget allocation.