paid-ads

What This Skill Does

The paid-ads skill transforms your AI agent into a high-level performance marketer capable of managing end-to-end advertising workflows. It is designed to assist with campaign strategy, ad creation, audience targeting, and continuous performance optimization. By leveraging structured frameworks like PAS (Problem-Agitate-Solve) and BAB (Before-After-Bridge), the skill ensures that ad copy is not only compelling but also aligned with psychological triggers that drive conversions. The skill provides direct support for major platforms, including Google Ads, Meta (Facebook/Instagram), LinkedIn, and Twitter/X, and helps maintain organized account structures with standardized naming conventions.

Installation

To integrate this skill into your environment, use the OpenClaw command-line interface: clawhub install openclaw/skills/skills/alirezarezvani/paid-ads

Use Cases

• Launching a new B2B lead generation campaign on LinkedIn.
• Optimizing existing Meta ad sets that suffer from high CPA.
• Writing high-converting ad copy for Google Search campaigns.
• Analyzing audience targeting segments to lower ROAS variability.
• Scaling successful ad creatives by providing structured budget reallocation strategies.

Example Prompts

1. "I need to run a Google Ads campaign for our new SaaS demo. Our goal is to keep CPA under $50. Can you help me structure the account and write three variations of ad copy?"
2. "We are seeing high impressions but low click-through rates on our Meta ads for our free trial offer. Can you audit my current setup and suggest some changes to the ad creative?"
3. "Create a LinkedIn ad strategy targeting CMOs in the tech sector for our upcoming whitepaper launch. Please use the PAS framework for the ad copy."

Tips & Limitations

• Context is King: Always provide the product marketing context file (.claude/product-marketing-context.md) so the agent understands your brand voice and value proposition.
• Gradual Scaling: When moving from the testing phase to the scaling phase, increase budgets by only 20-30% every few days to allow the platform's machine learning algorithms to adjust properly.
• Data Driven: The skill works best when it has access to historical pixel or conversion data. If you are starting from scratch, be prepared to provide clear benchmarks for success.
• Limitations: While this skill is an expert assistant, ensure that all ads remain compliant with platform-specific policies regarding sensitive content and regulated industries.