ads-audit
Full multi-platform paid advertising audit with parallel subagent delegation. Analyzes Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, and Microsoft Ads…
Landing page quality assessment for paid advertising campaigns. Evaluates message match, page speed, mobile experience, trust signals, form optimization, and conversion rate potential. Use when user says "landing page", "post-click experience", "landing page audit", "conversion
$ npx -y skills add naveedharri/benai-skills --skill ads-landing --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/ads-landingContext preview
The summary Claude sees to decide when to auto-load this skill.
Landing page quality assessment for paid advertising campaigns. Evaluates message match, page speed, mobile experience, trust signals, form optimization, and conversion rate potential. Use when user says "landing page", "post-click experience", "landing page audit", "conversion
name: ads-landing description: > Landing page quality assessment for paid advertising campaigns. Evaluates message match, page speed, mobile experience, trust signals, form optimization, and conversion rate potential. Use when user says "landing page", "post-click experience", "landing page audit", "conversion rate", or "landing page optimization".
1. Collect landing page URLs from active ad campaigns 2. Read `ads/references/benchmarks.md` for conversion rate benchmarks 3. Read `ads/references/conversion-tracking.md` for pixel/tag verification 4. Assess each landing page for ad-specific quality factors 5. Score landing pages and identify improvement opportunities 6. Generate recommendations prioritized by conversion impact
The #1 landing page issue in ad campaigns — does the page match the ad?
| Level | Description | Score | |-------|-------------|-------| | Exact match | Headline, offer, CTA all align perfectly | 100% | | Partial match | Headline matches but offer/CTA differs | 60% | | Weak match | Generic page, loosely related to ad | 30% | | Mismatch | Page content doesn't reflect ad promise | 0% |
Slow pages kill conversion rates. For every 1s delay, CVR drops ~7%.
| Metric | Pass | Warning | Fail | |--------|------|---------|------| | LCP | <2.5s | 2.5-4.0s | >4.0s | | FID/INP | <100ms | 100-200ms | >200ms | | CLS | <0.1 | 0.1-0.25 | >0.25 | | Time to Interactive | <3.0s | 3.0-5.0s | >5.0s | | Page weight | <2MB | 2-5MB | >5MB |
75%+ of ad clicks come from mobile. Mobile experience is critical.
| Fields | Expected CVR Impact | Use Case | |--------|-------------------|----------| | 1-3 fields | Highest CVR | Top-of-funnel, free offer | | 4-5 fields | Moderate CVR | Mid-funnel, qualified leads | | 6-8 fields | Lower CVR | Bottom-funnel, sales-ready | | 9+ fields | Lowest CVR | Only for high-value offers |
| Platform | Key Requirement | Notes | |----------|----------------|-------| | Google | QS component: landing page experience | Directly affects ad rank and CPC | | Meta | Page load speed critical | Slow pages = Meta penalizes delivery | | LinkedIn | Professional, B2B appropriate | Match LinkedIn's professional context | | TikTok | Mobile-first mandatory | 95%+ TikTok traffic is mobile | | Microsoft | Desktop-optimized matters more | Higher desktop % than other platforms |
Landing Page Health Message Match: ████████░░ XX/100 Page Speed: ██████████ XX/100 Mobile: ███████░░░ XX/100 Trust Signals: █████░░░░░ XX/100 Form Quality: ████████░░ XX/100
Expert automation skills for Claude Code, organized by department.
Repo: naveedharri/benai-skills
Full multi-platform paid advertising audit with parallel subagent delegation. Analyzes Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, and Microsoft Ads…
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