ads-landing▌
agricidaniel/claude-ads · updated Apr 8, 2026
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The #1 landing page issue in ad campaigns: does the page match the ad?
Landing Page Quality for Ad Campaigns
Process
- Collect landing page URLs from active ad campaigns
- Read
ads/references/benchmarks.mdfor conversion rate benchmarks - Read
ads/references/conversion-tracking.mdfor pixel/tag verification - Assess each landing page for ad-specific quality factors
- Score landing pages and identify improvement opportunities
- Generate recommendations prioritized by conversion impact
Message Match Assessment
The #1 landing page issue in ad campaigns: does the page match the ad?
What to Check
- Headline match: landing page H1 reflects ad copy headline/keyword
- Offer match: promoted offer (price, discount, trial) is visible above fold
- CTA match: landing page CTA matches ad's promised action
- Visual match: consistent imagery between ad creative and page
- Keyword match: search keyword appears naturally in page content
Message Match Scoring
| 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% |
Page Speed Assessment
Slow pages kill conversion rates. For every 1s delay, CVR drops ~7%.
Thresholds (Ad Landing Pages)
| 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 |
Common Speed Issues in Ad Pages
- Hero images not compressed (use WebP/AVIF)
- Too many third-party scripts (chat widgets, analytics, heatmaps)
- Render-blocking CSS/JS above fold
- No lazy loading for below-fold content
- Font files not preloaded
Mobile Experience
75%+ of ad clicks come from mobile. Mobile experience is critical.
Mobile Checklist
- Tap targets: ≥48x48px with ≥8px spacing
- Font size: ≥16px body text (no pinch-to-zoom needed)
- Form fields: properly sized, keyboard type matches input (email, phone, number)
- CTA button: full-width on mobile, visible without scrolling
- No horizontal scroll
- Images responsive and properly sized
- Phone number clickable (tel: link)
- No interstitials or popups blocking content on load
Trust Signals
Above-the-Fold Trust Elements
- Company logo visible
- Social proof (customer count, reviews, ratings)
- Security badges (SSL, payment security, guarantees)
- Recognizable client logos (B2B)
- Star ratings or testimonial snippet
Below-the-Fold Trust Elements
- Full testimonials with names, photos, companies
- Case study highlights with specific metrics
- Certifications, awards, accreditations
- Privacy policy link
- Physical address/phone number (local service businesses)
Form Optimization
Form Length Impact on CVR
| 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 |
Form Best Practices
- Pre-fill fields where possible (UTM data, known info)
- Use multi-step forms for 5+ fields (progressive disclosure)
- Show progress indicator on multi-step forms
- Inline validation (don't wait until submit to show errors)
- Error messages are clear and helpful
- Submit button text is specific ("Get My Free Quote" not "Submit")
- Thank you page has clear next steps
Ad-Specific Landing Page Elements
UTM Parameter Handling
- UTM parameters captured and stored (for attribution)
- Click IDs preserved: gclid (Google), fbclid (Meta), ttclid (TikTok), msclkid (Microsoft)
- Parameters passed to form submissions or CRM
Dynamic Content
- Dynamic keyword insertion in headline (Google Ads feature)
- Location-specific content for geo-targeted campaigns
- Audience-specific messaging (different pages for different segments)
- A/B testing active on key elements (headline, CTA, hero image)
Conversion Tracking
- Thank you page/event fires correctly for all platforms
- Form submission triggers conversion event
- Phone call tracking configured (if applicable)
- Chat/live agent triggers tracked as micro-conversions
Landing Page Quality by Platform
| 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 |
Output
Landing Page Assessment
Landing Page Health
Message Match: ████████░░ XX/100
Page Speed: ██████████ XX/100
Mobile: ███████░░░ XX/100
Trust Signals: █████░░░░░ XX/100
Form Quality: ████████░░ XX/100
Deliverables
LANDING-PAGE-REPORT.md: Per-page assessment with scores- Message match analysis per ad-to-page combination
- Page speed improvement priorities
- Mobile experience fixes
- Form optimization recommendations
- Quick Wins sorted by conversion impact
How to use ads-landing on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add ads-landing
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches ads-landing from GitHub repository agricidaniel/claude-ads and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate ads-landing. Access the skill through slash commands (e.g., /ads-landing) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★41 reviews- ★★★★★Neel Gupta· Dec 28, 2024
Solid pick for teams standardizing on skills: ads-landing is focused, and the summary matches what you get after install.
- ★★★★★Noor Wang· Dec 24, 2024
Keeps context tight: ads-landing is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Ren Rao· Dec 24, 2024
Registry listing for ads-landing matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Dhruvi Jain· Dec 12, 2024
ads-landing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Neel Tandon· Nov 15, 2024
ads-landing has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Ren Abbas· Nov 15, 2024
ads-landing reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ira Taylor· Nov 7, 2024
I recommend ads-landing for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Oshnikdeep· Nov 3, 2024
Useful defaults in ads-landing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Kabir Lopez· Oct 26, 2024
Solid pick for teams standardizing on skills: ads-landing is focused, and the summary matches what you get after install.
- ★★★★★Ganesh Mohane· Oct 22, 2024
Registry listing for ads-landing matched our evaluation — installs cleanly and behaves as described in the markdown.
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