Individual skill
ads-landing
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.
skills/ads-landing/SKILL.md
Source commit a62525be49b44a558b3d5c02751f9227a7490515
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- Yes
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- Last checked
- Nov 11, 2026
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- Repository stars (not skill ratings)
- 106
- Repository last updated
- Oct 27, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ads Repository topic
- advertising Repository topic
- claude-code Repository topic
- claude-code-skill Repository topic
- google-ads Repository topic
- linkedin-ads Repository topic
- marketing-automation Repository topic
- meta-ads Repository topic
- ppc Repository topic
- self-updating Repository topic
- marketing Derived category
- security Derived category
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SKILL.mdcore · 7,411 bytes
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<!-- Portions Copyright (c) 2026 Enrique Rocha (@soyenriquerocha) - see LICENSE for original authors · tododeia.com · id er-fd4fa55b -->
# Landing Page Quality for Ad Campaigns
## Process
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
## Message Match Assessment