Conversion Rate Optimization Planner

Create a data-driven CRO plan to systematically increase website conversion rates.

**Website Type:** [E-COMMERCE / SAAS LANDING PAGE / LEAD GENERATION / CONTENT SITE]
**Current Conversion Rate:** [PERCENTAGE OR ESTIMATE]
**Target Conversion Rate:** [PERCENTAGE GOAL]
**Monthly Traffic:** [VISITOR COUNT]

**CRO Framework:**

**Phase 1: Research & Discovery**
- Heatmap interpretation guide: where users click, scroll, and hover (Hotjar/Crazy Egg)
- Session recording analysis: identify common drop-off points and frustration patterns
- User survey framework: post-exit surveys with specific questions about barriers
- Analytics audit: Google Analytics 4 setup verification, goal tracking, event tracking
- Competitor conversion benchmarking: analyze competitor landing pages for patterns

**Phase 2: A/B Test Idea Generator**
Generate test ideas ranked by impact potential and implementation effort:
- Headline tests (benefit-driven vs. feature-focused vs. question-based)
- CTA button tests (color, copy, size, placement, number of CTAs)
- Hero image/video tests (product screenshot vs. lifestyle photo vs. video background)
- Form length tests (3 fields vs. 7 fields vs. progressive profiling)
- Social proof placement tests (above fold vs. near CTA vs. both)
- Pricing page layout tests (single plan vs. three-tier vs. custom quote)
- Trust signal tests (badges, guarantees, reviews, security seals)

**Phase 3: Landing Page Audit Checklist**
- Above the fold: clear value proposition within 5 seconds, single primary CTA visible without scrolling
- Headline: specific benefit stated clearly, includes target audience and outcome
- Subheadline: expands on headline with supporting detail or differentiator
- Visual: relevant image/video that supports the message (not generic stock photo)
- Social proof: testimonials, logos, ratings within first screen view
- Benefits over features: every section answers "what's in it for me?"
- Risk reversal: guarantee, free trial, money-back promise near CTA
- Form optimization: minimal fields, inline validation, progress indicator for multi-step forms
- Mobile experience: thumb-friendly CTAs, readable font sizes, fast load time (<3s)

**Phase 4: Trust Signal Placement Guide**
- Where to place trust signals for maximum impact (near form submissions, pricing pages, checkout)
- Which trust signals work best for different industries (B2B vs. B2C)
- How to collect and display testimonials effectively
- Review widget integration recommendations
- Security badge placement and compliance signal communication

**Phase 5: Prioritization Matrix**
- Impact vs. Effort matrix for all test ideas
- ICE scoring framework (Impact, Confidence, Ease) for prioritizing tests
- Test calendar planning: how many tests per month based on traffic volume
- Statistical significance calculator reference
- Documentation template for test results and learnings

How to Customize It

Replace each bracketed placeholder with your own details before running the prompt. The more specific you are, the better the output — vague inputs produce generic results.

• [E-COMMERCE / SAAS LANDING PAGE / LEAD GENERATION / CONTENT SITE]Swap in your e-commerce or saas landing page or lead generation or content site.
• [PERCENTAGE OR ESTIMATE]Swap in your percentage or estimate.
• [PERCENTAGE GOAL]Swap in your percentage goal.
• [VISITOR COUNT]Swap in your visitor count.

When to Use It

• A traffic-rich page that underconverts, where you need a prioritized test queue instead of a redesign gamble.
• Building the CRO roadmap for the quarter with hypotheses ranked by expected impact.
• Auditing a funnel after a redesign quietly tanked conversions.

Tips for Better Results

• 1Enter your real traffic numbers — with low traffic the correct plan is bigger swings and fewer tests, and the math changes the strategy.
• 2Pair every hypothesis with evidence (heatmap, session recording, exit survey quote). "I think the headline is weak" is not a hypothesis.
• 3Run the sample-size math before starting any test; a test that needs six months to reach significance is a decision, not a test.