skills/ads-landing/SKILL.md
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.
npx skillsauth add agricidaniel/claude-ads ads-landingInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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 | | INP | <200ms | 200-500ms | >500ms | | 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 |
Landing Page Health Score = (Message Match x 0.25) + (Page Speed x 0.25) + (Mobile x 0.20) + (Trust x 0.15) + (Form x 0.15)
Each component is scored 0-100, then weighted. Final score maps to grade: A (90-100), B (75-89), C (60-74), D (40-59), F (<40).
Flag if any of the following are true:
Consent Mode V2: Verify Consent Mode V2 implementation for EU/EEA traffic to ensure tracking data quality. Without Consent Mode V2, conversion modeling is degraded and remarketing audiences shrink significantly.
| Priority | Fix | Expected Impact | |----------|-----|-----------------| | 1 | Move primary CTA above the fold on all devices | +15-25% CVR | | 2 | Reduce form fields to essential only (name, email, one qualifier) | +10-20% CVR | | 3 | Add trust badges near CTA (security, guarantee, reviews) | +5-15% CVR | | 4 | Optimize hero image (WebP/AVIF, <200KB, proper dimensions) | -1-2s load time | | 5 | Fix mobile tap targets (>=48x48px with >=8px spacing) | +5-10% mobile CVR |
| 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
LANDING-PAGE-REPORT.md: Per-page assessment with scorestools
Cross-platform attribution health audit covering AdAttributionKit (iOS view-through 24h post-impression, WWDC 2025 configurable windows), GA4 attribution models (data-driven vs last-click), Consent Mode V2 enforcement, server-side attribution stitching, MMP integration health, and cross-device / cross-platform attribution. Use when user says attribution audit, attribution model, AdAttributionKit, AAK, view-through attribution, GA4 attribution, Consent Mode V2, conversion window, attribution window, MMP audit, AppsFlyer audit, Adjust audit, Branch audit, Singular audit, cross-device attribution, or cross-platform attribution.
testing
Amazon Ads deep analysis covering Sponsored Products, Sponsored Brands (incl. Sponsored Brands Video), Sponsored Display (audiences + contextual), and basic Amazon DSP. Evaluates campaign structure, ACOS/TACOS targets, search-term harvesting, negative keyword discipline, Brand Analytics signals, day-parting, bid management, auto vs manual campaign mix, ASIN targeting, and DSP retargeting. Use when user says Amazon Ads, Amazon advertising, Amazon PPC, Amazon search ads, Sponsored Products, Sponsored Brands, Sponsored Display, Amazon DSP, ACOS, TACOS, retail media audit, Amazon Marketing Services, AMS, or Amazon seller advertising.
development
Full multi-platform paid advertising audit with parallel subagent delegation. Analyzes Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, Microsoft Ads, and Apple Ads accounts via 6 parallel audit agents. Amazon Ads, cross-platform attribution, and server-side tracking are covered by their standalone sub-skills (ads-amazon, ads-attribution, ads-server-side-tracking) — Wave 3 will add their paired agents so they can dispatch in parallel here. Generates health score per platform and aggregate score (0-100). Use when user says audit, full ad check, analyze my ads, account health check, paid media audit, paid advertising audit, ad spend audit, advertising audit, or PPC audit.
development
Apple Ads (formerly Apple Search Ads) deep analysis for mobile app advertisers. Evaluates campaign structure, bid health, Custom Product Pages (CPPs), AdAttributionKit (view-through attribution 24h post-impression), MMP attribution, budget pacing, TAP coverage (Today/Search/Product Pages), Maximize Conversions bidding, and goal CPA benchmarks by country. Use when user says Apple Ads, Apple Search Ads, ASA, App Store ads, Apple ads, Search Ads, AdAttributionKit, view-through attribution, or is advertising a mobile app on iOS.