Plan and optimize paid advertising campaigns across Google Ads, Meta, LinkedIn, Twitter, and TikTok.
npx skills add https://github.com/sneha835/Sneha --skill paid-ads-sneha835
Please help me install this Agent Skill. Skill: paid-ads Source: https://github.com/sneha835/Sneha/tree/main/.claude/skills/paid-ads Command: npx skills add https://github.com/sneha835/Sneha --skill paid-ads-sneha835
Businesses struggle to plan, launch, and optimize paid advertising campaigns across multiple platforms to acquire customers efficiently and at scale.
Launch a cross-platform paid ads plan targeting high-intent buyers and set up a 3-6 week test window to validate performance.
High-intent search queries and answers about installing and using this skill.
To structure paid ads for maximum ROAS, use campaign structure templates with standardized naming conventions, platform-specific bid strategies, and clear budget allocation rules across Google Ads, Meta, LinkedIn, Twitter, and TikTok. This ensures tracking consistency and efficient customer acquisition.
The best way to allocate a paid ads budget for high-intent buyers is applying data-driven platform selection guidance based on your specific audience and goals. Set up a 3-6 week test window to validate performance and iteratively shift spend toward the channels with the lowest CPA.
Audience targeting and creative testing improve paid advertising efficiency by implementing structured measurement workflows that identify winning ad variations and audience segments. Continuously iterating on these levers directly lowers your cost per acquisition and increases overall return on ad spend.
Yes, you can plan paid ads for both B2B and B2C audiences. The approach provides platform selection guidance distinguishing LinkedIn for B2B from Meta or TikTok for B2C, applying tailored audience targeting and bid strategies to match your specific business goals and acquisition scale.
Your paid ads campaign has a high CPA due to suboptimal audience targeting, budget allocation, or creative performance. Optimize it by applying actionable campaign levers, refining bid strategies, and implementing structured reporting and iteration loops to identify and scale efficient acquisition channels.
Gull-StackDesign and optimize paid advertising campaigns across Google Ads, Meta, LinkedIn, and TikTok.
athina-aiAnalyze ad campaign performance data from Google, Meta, and LinkedIn.
mohamednegm0Set up, audit, and debug web and product analytics tracking.
teodorboevGenerate headline, body, and CTA ad variations for A/B testing.
