메뉴
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".
Full multi-platform paid advertising audit with parallel subagent delegation. Analyzes Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, and Microsoft Ads accounts. Generates health score per platform and aggregate score. Use when user says "audit", "full ad check", "analyze my ads", "account health check", or "PPC audit".
Budget allocation and bidding strategy review across all ad platforms. Evaluates spend distribution, bidding strategy appropriateness, scaling readiness, and identifies campaigns to kill or scale. Uses 70/20/10 rule, 3x Kill Rule, and 20% scaling rule. Use when user says "budget allocation", "bidding strategy", "ad spend", "ROAS target", "media budget", or "scaling".
Competitor ad intelligence analysis across Google, Meta, LinkedIn, TikTok, and Microsoft. Analyzes competitor ad copy, creative strategy, keyword targeting, estimated spend, and identifies competitive gaps and opportunities. Use when user says "competitor ads", "ad spy", "competitive analysis", "competitor PPC", or "ad intelligence".
Cross-platform creative quality audit covering ad copy, video, image, and format diversity across all platforms. Detects creative fatigue, evaluates platform-native compliance, and provides production priorities. Collects brand context and creates branding.md if missing. Uses infographic-v2 for generating ad creatives. Use when user says "creative audit", "ad creative", "creative fatigue", "ad copy", "ad design", or "creative review".
Google Ads deep analysis covering Search, Performance Max, Display, YouTube, and Demand Gen campaigns. Evaluates 74 checks across conversion tracking, wasted spend, account structure, keywords, ads, and settings. Use when user says "Google Ads", "Google PPC", "search ads", "PMax", "Performance Max", or "Google campaign".
LinkedIn Ads deep analysis for B2B advertising. Evaluates 25 checks across technical setup, audience targeting, creative quality, lead gen forms, and bidding strategy. Includes Thought Leader Ads, ABM, and predictive audiences. Use when user says "LinkedIn Ads", "B2B ads", "sponsored content", "lead gen forms", "InMail", or "LinkedIn campaign".
| 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". |
This skill was auto-converted from a Claude/BenAI-style skill into an OpenClaw-oriented skill file.
Use this skill with care:
/skill ...) as intent hints, not literal required commands.allowed-tools, MCP, plugin, browser, .claude, or AskUserQuestion references as portability notes, not guaranteed runtime features..claude/... paths against the current OpenClaw workspace before use.ads/references/benchmarks.md for conversion rate benchmarksads/references/conversion-tracking.md for pixel/tag verificationThe #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 |
|---|---|---|
| QS component: landing page experience | Directly affects ad rank and CPC | |
| Meta | Page load speed critical | Slow pages = Meta penalizes delivery |
| 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
LANDING-PAGE-REPORT.md — Per-page assessment with scores