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Complete Competitive Ads Analysis Engine

Streamline your workflow with this skill for extract and analyze competitor advertising strategies. Built for Claude Code with best practices and real-world patterns.

SkillCommunitymarketingv1.0.0MIT
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Competitive Ads Analysis Engine

Comprehensive competitive advertising intelligence toolkit for analyzing competitor ad strategies, creatives, spend patterns, and audience targeting across digital advertising platforms.

When to Use This Skill

Choose Competitive Ads Analysis when:

  • Researching competitor advertising strategies and messaging
  • Analyzing ad creative trends in your industry
  • Estimating competitor ad spend and channel allocation
  • Identifying gaps in your own advertising coverage
  • Planning campaign strategies based on competitive intelligence

Consider alternatives when:

  • Need real-time bid intelligence — use programmatic DSP tools
  • Analyzing your own ad performance — use platform analytics directly
  • Need creative design help — use design tools

Quick Start

# Activate competitive analysis claude skill activate complete-competitive-ads-analysis-engine # Analyze a competitor claude "Analyze competitor ad strategy for [brand] across Google and Meta" # Compare ad approaches claude "Compare ad messaging between [brand A] and [brand B] in the SaaS space"

Example Analysis Report

## Competitive Ad Analysis: [Competitor] vs [Your Brand] ### Channel Distribution | Channel | Competitor Spend % | Your Spend % | Gap | |---------|-------------------|--------------|-----| | Google Search | 45% | 35% | +10% | | Meta (FB/IG) | 30% | 40% | -10% | | LinkedIn | 15% | 5% | +10% | | YouTube | 10% | 20% | -10% | ### Ad Creative Analysis **Competitor Messaging Themes:** 1. Price/value focus (40% of creatives) 2. Social proof / case studies (30%) 3. Feature comparison (20%) 4. Brand awareness (10%) **Top Performing Ad Formats:** - Carousel ads with customer testimonials - Video demos under 30 seconds - Lead magnet offers (whitepapers, webinars) ### Keyword Overlap - 67% overlap on branded terms - 34% overlap on non-branded terms - Key gaps: competitor targets "enterprise [category]" terms you don't

Core Concepts

Analysis Dimensions

DimensionData PointsSources
Ad CreativeCopy, images, video, CTAs, landing pagesMeta Ad Library, Google Ads Transparency
Spend EstimationMonthly budget, channel allocation, seasonal patternsSEMrush, SpyFu, SimilarWeb
KeywordsSearch terms, bid estimates, quality scoresSEMrush, Ahrefs, SpyFu
AudienceDemographics, interests, lookalike targeting signalsSocial ad libraries, audience overlap tools
TimingAd scheduling, seasonal campaigns, launch timingAd library timestamps, SimilarWeb trends
PerformanceEngagement indicators, landing page quality, conversion hintsSocial engagement metrics, landing page analysis

Competitive Intelligence Framework

PhaseActivitiesOutput
IdentifyList competitors (direct, indirect, aspirational)Competitor set
CollectGather ad creatives, keywords, spend dataRaw intelligence
AnalyzeCategorize messaging, compare strategies, find patternsAnalysis report
BenchmarkCompare your metrics against competitor benchmarksGap analysis
StrategizeIdentify opportunities, differentiation anglesStrategic recommendations
MonitorSet up ongoing tracking and alertsMonitoring dashboard
// Ad creative analysis structure interface CompetitorAdAnalysis { competitor: string; dateRange: { start: string; end: string }; channels: ChannelAnalysis[]; creativeTrends: { messagingThemes: { theme: string; percentage: number }[]; formats: { format: string; frequency: number }[]; ctaPatterns: string[]; landingPageTypes: string[]; }; keywordOverlap: { shared: string[]; competitorOnly: string[]; youOnly: string[]; }; recommendations: string[]; }

Configuration

ParameterDescriptionDefault
competitorsList of competitor domains/brands to trackRequired
channelsAd platforms to analyze["google", "meta", "linkedin"]
date_rangeAnalysis time periodlast_90_days
include_creativesDownload and analyze ad creativestrue
keyword_overlapCalculate keyword overlap percentagetrue
output_formatReport format: markdown, pdf, jsonmarkdown

Best Practices

  1. Track competitors consistently over time, not just one-off snapshots — Advertising strategy reveals itself through patterns over months. Set up regular monthly analysis to identify seasonal campaigns, messaging shifts, and new channel experiments that point-in-time snapshots miss.

  2. Categorize competitor messaging into themes, not individual ads — Individual ads are noise; themes are signal. Group competitor creatives by messaging angle (price, features, social proof, urgency) and track theme percentages over time to understand strategic shifts.

  3. Analyze landing pages alongside ad creatives — The ad is half the story. Where competitors send traffic reveals their conversion strategy, offer positioning, and funnel design. Compare landing page approaches (long-form vs short, video vs text, pricing vs demo) for strategic insights.

  4. Focus on gaps and opportunities, not imitation — Competitive analysis should inform differentiation, not copying. Identify messaging angles, audience segments, and channels that competitors neglect. The greatest opportunity often lies where competitors aren't looking.

  5. Validate estimates with multiple data sources — No single competitive intelligence tool is perfectly accurate. Cross-reference spend estimates from SEMrush, SimilarWeb, and platform ad libraries. Use directional trends rather than exact numbers for decision-making.

Common Issues

Spend estimates vary wildly between different intelligence tools. All third-party spend estimates are approximations based on sampling. Use relative comparisons (competitor A spends 2x competitor B) rather than absolute numbers. Cross-reference with public earnings reports for publicly traded competitors.

Ad library data doesn't show targeting or performance metrics. Platform ad libraries (Meta, Google) show creatives but not targeting or results. Infer audience targeting from creative messaging, landing page content, and the publications where ads appear. Use engagement metrics (likes, shares, comments) as rough performance proxies.

Competitor changes strategy faster than your analysis cycle. Automate data collection with scheduled scraping and alerts. Set up monitoring for new competitor ads, landing page changes, and keyword additions. Weekly automated reports with manual deep-dives monthly balances speed with insight quality.

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