Competitive Ads Extractor

Use This Skill When

• Researching competitor ad campaigns and messaging
• Finding inspiration for your own ad creative
• Understanding market positioning and pain points
• Analyzing successful ad patterns and copy approaches
• Discovering new use cases or customer problems
• Planning campaigns with proven messaging concepts
• Benchmarking ad performance across competitors
• Understanding audience targeting strategies

When NOT to Use

• Copying competitor ads (research, don't replicate)
• When competitors have private or non-library ads only
• For platforms without public ad libraries
• When you need to analyze offline/traditional media
• For real-time ad performance data (not available in libraries)

Context: Competitive Intelligence

Undeveloped: Manual ad browsing, no systematic analysis, missed patterns.

Target: Extracted ads with analyzed messaging, identified pain points, recognized successful patterns.

Optimized: Comprehensive competitive map, sentiment analysis, trend forecasting, prediction of what works next.

Core Principle

Winning ads solve real problems and use proven messaging patterns. Extract competitor ads systematically to identify which pain points resonate and which creative approaches drive action.

Instructions

Step 1: Identify Competitors and Platforms

Define Competitive Set:

Competitor	Primary Platform	Ad Frequency	Target Audience
Company A	Facebook	15+ ads	Startups
Company B	LinkedIn	8+ ads	Enterprise
Company C	Facebook + LinkedIn	20+ ads	Mid-market

Platform Access:

• Facebook Ad Library: facebook.com/ads/library (public, most comprehensive)
• LinkedIn Ads: linkedin.com/ads/library (limited, enterprise focus)
• Google Ads Transparency: ads.google.com/transparency (political/election ads)
• Platform-specific: TikTok, Instagram, YouTube also have ad libraries

Step 2: Extract Ads Systematically

Extraction Process:

1. Search competitor name in ad library
2. Screenshot all active ads (note: usually 10–50 per competitor)
3. Save with consistent naming: {competitor}-{theme}-{date}.png
4. Record metadata:
   • Ad copy (full text)
   • Visuals (format: static image, video, carousel)
   • CTA button text ("Try Free", "Learn More", etc.)
   • Audience targeting (if visible)
   • Approximate spend level (if indicated)

Example Folder Structure:

competitor-ads/
├── notion/
│   ├── ads-001-productivity.png
│   ├── ads-002-collaboration.png
│   └── metadata.json
├── slack/
│   ├── ads-001-teams.png
│   └── metadata.json

Step 3: Analyze Messaging and Pain Points

Framework for Analysis:

Element	Questions to Answer
Problems Highlighted	What pain point(s) does each ad address? How is it phrased?
Value Propositions	What outcome is promised? Benefit-focused or feature-focused?
Audience Segments	Which customer type is each ad targeting? (Startup, Enterprise, etc.)
Emotional Angle	Fear, aspiration, relief, achievement? What emotion drives the CTA?
Copy Patterns	Short/long? Question or statement? Specific numbers or general?

Example Analysis:

Ad: "Stop Switching Between 10 Tools"

• Pain Point: Tool fragmentation, context switching
• Target: Teams dealing with collaboration chaos
• Emotion: Relief from frustration
• CTA: "Try Free" (low friction)
• Likely Effectiveness: High (universal pain point)

Step 4: Identify Recurring Patterns

Pattern Categories:

Pattern Type	Example	Frequency	Why Effective
Before/After	Chaos → Organization	6/23 ads	Visual clarity of transformation
Feature Showcase	5-sec GIF of product	8/23 ads	Product familiarity + proof
Social Proof	"Join 20M users"	4/23 ads	Credibility + scale
Problem-Agitation	"Never ask where is that?"	7/23 ads	Specific pain point
Vision Statement	"The all-in-one workspace"	5/23 ads	Positioning clarity

What Patterns Mean:

• If 30%+ of ads use the same pattern → Proven to work
• If pattern appears with multiple pain points → Flexible framework
• If pattern uses specific numbers → Performance metric visible

Step 5: Extract Copy That Performs

Headline Analysis:

Headline	Strength	Weakness
"Your team's knowledge, finally in one place"	Benefit + relief	Generic
"The all-in-one workspace"	Positioning + clarity	Not specific to pain
"AI that actually helps you work"	Skepticism antidote	Feature-focused

Body Copy Patterns That Work:

• Short sentences (max 10 words): Scannability
• Specific numbers: "Cut meetings by 50%" vs. "Save time"
• Outcome-first: "Spend 3 fewer hours in meetings" not "Features: [list]"
• Problem restatement: Echo the pain back to audience
• Clear CTA: "Try Free", "Get Started", "Learn More"

Step 6: Map Audience Strategies

Example Audience Segmentation:

Competitor: Notion

• Founders: Solo productivity, founder story angle
• Team Leads: Collaboration, alignment, transparency
• Enterprise: Security, compliance, integration, scale
• Students: Free access, templates, organization

Why This Matters:

• Different pain points for different segments
• Different CTAs per segment (free vs. demo vs. contact sales)
• Different creative angles (individual vs. team vs. org)

Quality Checklist

• ✓ All competitor ads extracted (not just a sample)
• ✓ Screenshots organized with clear naming
• ✓ Metadata captured (copy, CTA, format, targeting)
• ✓ Pain points identified and quoted
• ✓ Creative patterns documented with frequency
• ✓ Copy patterns extracted and analyzed
• ✓ Audience segments mapped
• ✓ Insights synthesized (what's clearly working)

Output

Deliver:

1. Competitive Ad Library

   • Screenshots of all ads found
   • Organized by competitor and theme
   • Metadata spreadsheet (copy, CTA, format)

2. Pattern Analysis Document

   • Identified pain points (with quotes)
   • Recurring creative patterns + frequency
   • Successful copy structures
   • Audience targeting insights

3. Strategic Recommendations

   • Top 3 pain points to address
   • Recommended creative pattern(s)
   • Copy approaches to test
   • Audience segments to target first

4. Swipe File

   • Best headlines and copy
   • Before/after patterns
   • CTAs that work
   • Positioning statements worth emulating

Recommendations for Your Ads

1. Test the "tool sprawl" pain point → Strong resonance based on their ad frequency

2. Use product screenshots over abstract visuals → All their top ads show actual UI

3. Lead with the problem, not the solution → "Tired of X?" performs better than "Introducing Y"

4. Keep copy under 100 characters → Their shortest ads seem most frequent

5. Test before/after visual formats → Proven pattern in their creative

Files Saved

• All ads: ~/competitor-ads/notion/
• Analysis: ~/competitor-ads/notion/analysis.md
• Best performers: ~/competitor-ads/notion/top-10/

**Inspired by:** Sumant Subrahmanya's use case from Lenny's Newsletter

## What You Can Learn

### Messaging Analysis
- What problems they emphasize
- How they position against competition
- Value propositions that resonate
- Target audience segments

### Creative Patterns
- Visual styles that work
- Video vs. static image performance
- Color schemes and branding
- Layout patterns

### Copy Formulas
- Headline structures
- Call-to-action patterns
- Length and tone
- Emotional triggers

### Campaign Strategy
- Seasonal campaigns
- Product launch approaches
- Feature announcement tactics
- Retargeting patterns

## Best Practices

### Legal & Ethical
✓ Only use for research and inspiration
✓ Don't copy ads directly
✓ Respect intellectual property
✓ Use insights to inform original creative
✗ Don't plagiarize copy or steal designs

### Analysis Tips
1. **Look for patterns**: What themes repeat?
2. **Track over time**: Save ads monthly to see evolution
3. **Test hypotheses**: Adapt successful patterns for your brand
4. **Segment by audience**: Different messages for different targets
5. **Compare platforms**: LinkedIn vs Facebook messaging differs

## Advanced Features

### Trend Tracking

Compare [Competitor]'s ads from Q1 vs Q2. What messaging has changed?

### Multi-Competitor Analysis

Extract ads from [Company A], [Company B], [Company C]. What are the common patterns? Where do they differ?

### Industry Benchmarks

Show me ad patterns across the top 10 project management tools. What problems do they all focus on?

### Format Analysis

Analyze video ads vs static image ads from [Competitor]. Which gets more engagement? (if data available)

## Common Workflows

### Ad Campaign Planning
1. Extract competitor ads
2. Identify successful patterns
3. Note gaps in their messaging
4. Brainstorm unique angles
5. Draft test ad variations

### Positioning Research
1. Get ads from 5 competitors
2. Map their positioning
3. Find underserved angles
4. Develop differentiated messaging
5. Test against their approaches

### Creative Inspiration
1. Extract ads by theme
2. Analyze visual patterns
3. Note color and layout trends
4. Adapt successful patterns
5. Create original variations

## Tips for Success

1. **Regular Monitoring**: Check monthly for changes
2. **Broad Research**: Look at adjacent competitors too
3. **Save Everything**: Build a reference library
4. **Test Insights**: Run your own experiments
5. **Track Performance**: A/B test inspired concepts
6. **Stay Original**: Use for inspiration, not copying
7. **Multiple Platforms**: Compare Facebook, LinkedIn, TikTok, etc.

## Output Formats

- **Screenshots**: All ads saved as images
- **Analysis Report**: Markdown summary of insights
- **Spreadsheet**: CSV with ad copy, CTAs, themes
- **Presentation**: Visual deck of top performers
- **Pattern Library**: Categorized by approach

## Related Use Cases

- Writing better ad copy for your campaigns
- Understanding market positioning
- Finding content gaps in your messaging
- Discovering new use cases for your product
- Planning product marketing strategy
- Inspiring social media content