competitive-ads-extractor_skill

Overview

This skill extracts competitors' ads from public ad libraries and analyzes what messaging, problems, and creative approaches are working. It produces organized screenshots, categorized insights, and actionable recommendations to inspire and improve your own ad campaigns. Use it to spot patterns, validate hypotheses, and build testable creative concepts.

How this skill works

The skill scrapes ad libraries (Facebook, LinkedIn, etc.), saves visual copies of each ad, and parses copy, CTAs, and metadata. It clusters ads by theme, audience, and format, then highlights recurring problems, value propositions, and creative patterns. Finally, it generates a concise analysis with recommendations and exportable files (images, CSV, markdown).

When to use it

• Research competitor ad strategies before launching a campaign
• Find creative inspiration and proven messaging patterns
• Map market positioning and common pain points
• Validate hypotheses about what copy or visuals resonate
• Plan A/B tests based on competitor insights

Best practices

• Use results for inspiration, not direct copying; respect IP and platform rules
• Monitor competitors regularly (monthly) to track changes over time
• Segment analysis by platform and audience for actionable targeting
• Save a reference library of screenshots and metadata for trend analysis
• Test insights with controlled experiments before large rollouts

Example use cases

• Extract Facebook ads from a single competitor to learn their top pain points
• Compare 3–5 competitors across LinkedIn to map B2B positioning differences
• Generate a CSV of ad copy and CTAs for quick campaign planning
• Analyze video vs. static performance (where engagement data exists) to choose formats
• Create a presentation of top-performing creatives and suggested tests