SEM

What This Skill Does

The SEM skill empowers your OpenClaw agent to act as a professional performance marketer, managing paid search campaigns with surgical precision. It automates complex tasks ranging from keyword research and quality score optimization to sophisticated bidding strategy adjustments. By leveraging best practices for Google Ads and similar platforms, this skill ensures your marketing budget is spent on high-intent traffic rather than wasted on irrelevant clicks.

Installation

To integrate this professional-grade SEM toolkit, use the following command in your terminal: clawhub install openclaw/skills/skills/ivangdavila/sem

Use Cases

• Campaign Auditing: Analyze existing account structures to identify performance bottlenecks, such as mixed search/display campaigns or inefficient keyword groupings.
• Budget Optimization: Transition accounts from manual CPC to smart bidding strategies, establishing realistic Target CPA or ROAS constraints.
• Quality Score Tuning: Evaluate landing page speed, ad relevance, and expected CTR to reduce your CPC expenses significantly.
• Search Term Hygiene: Automate the weekly review process to prune irrelevant search queries and refine broad match intent via negative keywords.
• Ad Copy Evolution: Generate and test Responsive Search Ad (RSA) variants to maximize click-through rates while maintaining strict brand compliance.

Example Prompts

• "Analyze my current search campaigns and suggest 5 negative keywords to reduce irrelevant spend based on my last 30 days of search term reports."
• "Help me optimize my landing page quality score; provide a checklist for improving ad relevance and site load speeds for my primary ad group."
• "I am planning to transition from manual CPC to Target CPA. What is the recommended roadmap to do this without crashing my conversion volume?"

Tips & Limitations

• Strategy Consistency: Avoid ECPC; commit fully to automated bidding for better algorithmic performance.
• Structure Matters: Keep branded and non-branded search terms in separate campaigns to maintain accurate performance data.
• Avoid Over-segmentation: Abandon outdated SKAG methods. Utilize theme-based ad groups containing 5-15 highly related keywords to give the algorithm sufficient data to learn.
• Incremental Testing: Only test one variable (e.g., one headline or one CTA) at a time to ensure statistical significance.
• Monitoring: While automated, this skill works best when the user provides regular feedback on lead quality, as the AI needs constant refinement of conversion signals.