Page Speed Optimization Plan for Revenue-Impacting Pages
SEO & SearchintermediateClaude 3.5 Sonnet or GPT-4o. Claude excels at structured technical planning and breaking complex optimization into phases. GPT-4o is slightly faster for large audits. Both handle the business-to-technical translation well, but Claude's reasoning is superior for prioritization logic.
When to Use This Prompt
Use this prompt when page speed is slowing conversions but your team lacks a clear optimization strategy or prioritization framework. It's especially valuable when you need to justify speed improvements to leadership by linking them to revenue impact, or when operational debt (unclear ownership, tool sprawl) is preventing action.
The Prompt
You are a technical SEO strategist helping a marketing team identify and prioritize page speed improvements that directly impact revenue and user experience.
## Context
Our website currently has [WEBSITE_DOMAIN]. Our primary revenue drivers are [REVENUE_PAGES: e.g., pricing page, product demo page, checkout flow]. We've identified that page speed is a friction point, but we don't have a clear prioritization strategy or implementation roadmap.
## Your Task
Create a page speed optimization plan that:
1. **Audit & Prioritize**: Identify which pages to optimize first based on traffic volume, conversion impact, and current speed metrics. Focus on pages that leak revenue or create friction.
2. **Technical Recommendations**: For each priority page, list 5-7 specific, actionable optimizations (image compression, lazy loading, code splitting, CDN usage, caching strategy, third-party script management, etc.). Explain the expected impact on Core Web Vitals (LCP, FID, CLS).
3. **Implementation Roadmap**: Break the work into phases (quick wins in week 1-2, medium-effort in weeks 3-4, longer-term in weeks 5-8). Assign effort levels (low/medium/high) and expected speed improvement percentages.
4. **Measurement Framework**: Define how we'll measure success—specific metrics to track, tools to use (Google PageSpeed Insights, WebPageTest, real user monitoring), and success thresholds (e.g., LCP under 2.5s, CLS under 0.1).
5. **Business Impact**: Estimate the revenue or conversion lift we can expect from each optimization phase, based on industry benchmarks for [INDUSTRY_TYPE].
## Output Format
Provide a structured plan with:
- Executive summary (2-3 sentences on expected impact)
- Priority matrix (pages ranked by revenue impact vs. current speed issues)
- Phase-by-phase roadmap with specific tasks
- Success metrics and monitoring approach
- Resource requirements (tools, skills, time)
## Constraints
- Assume we have [TEAM_SIZE] people and [BUDGET] to allocate
- Our tech stack includes [TECH_STACK: e.g., WordPress, Shopify, custom React app]
- We cannot rebuild pages from scratch; focus on optimization within existing architecture
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Tips for Best Results
- 1.Replace [REVENUE_PAGES] with actual page URLs and current conversion rates—vague inputs produce generic plans. Specificity drives prioritization accuracy.
- 2.Include your current Core Web Vitals scores from Google Search Console or PageSpeed Insights. AI will benchmark against industry standards and set realistic targets.
- 3.Specify your tech stack and hosting provider. Optimization recommendations differ dramatically between WordPress, Shopify, and custom React—generic advice wastes time.
- 4.Ask for a 'quick wins vs. long-term' breakdown in your follow-up. This separates 2-week deliverables from 8-week projects, helping you prove ROI fast and avoid operational debt.
Example Output
# Page Speed Optimization Plan: [Company Name]
## Executive Summary
Optimizing your top 5 revenue-generating pages for speed can improve conversion rates by 3-7% and reduce bounce rate by 15-20%. Quick wins (image optimization, lazy loading) can be deployed in 2 weeks with minimal risk. Expected revenue impact: $50K-$150K annually depending on traffic volume.
## Priority Matrix
| Page | Monthly Traffic | Conversion Rate | Speed Score (Current) | Revenue Impact | Priority |
|------|-----------------|-----------------|----------------------|-----------------|----------|
| Pricing | 12K | 8% | 42 | High | 1 |
| Product Demo | 8K | 12% | 38 | High | 2 |
| Checkout | 5K | 65% | 35 | Critical | 3 |
| Blog (Top 10) | 25K | 2% | 55 | Medium | 4 |
| Homepage | 40K | 3% | 48 | Medium | 5 |
## Phase 1: Quick Wins (Weeks 1-2)
**Effort: Low | Expected Speed Improvement: 15-25%**
- Compress all hero images (JPEG/WebP format, 80% quality)
- Enable lazy loading on below-fold images
- Minify CSS and JavaScript
- Implement browser caching (30-day expiry)
- Remove unused third-party scripts (tracking pixels, analytics duplicates)
**Estimated Lift**: LCP improvement of 0.8-1.2 seconds, CLS reduction of 0.05-0.08
## Phase 2: Medium-Effort Optimizations (Weeks 3-4)
**Effort: Medium | Expected Speed Improvement: 20-35%**
- Implement CDN for static assets
- Code-split JavaScript bundles
- Optimize font loading (system fonts or subset Google Fonts)
- Implement critical CSS inlining
- Set up image optimization service (Cloudinary, Imgix)
**Estimated Lift**: LCP improvement of 0.5-0.8 seconds, FID under 100ms
## Success Metrics
- **Google PageSpeed Score**: Target 75+ for revenue pages
- **Core Web Vitals**: LCP <2.5s, FID <100ms, CLS <0.1
- **Real User Monitoring**: 50th percentile load time <3s, 75th percentile <5s
- **Business Metrics**: Track conversion rate lift, bounce rate reduction, session duration
## Resource Requirements
- Tools: Google PageSpeed Insights (free), WebPageTest (free), Databox (monitoring)
- Skills: Frontend developer (40 hours), DevOps/Infrastructure (20 hours)
- Budget: $0-$500/month for CDN and optimization tools
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Get the Full AI Marketing Learning Path
Courses, workshops, frameworks, daily intelligence, and 6 proprietary tools — built for marketing leaders adopting AI.
Trusted by 10,000+ Directors and CMOs.