All examples for Conversion Funnel Analyzer

E-commerce Checkout Funnel Analysis

Analyzing a 4-step e-commerce checkout funnel to identify the highest-impact bottleneck. Demonstrates step-by-step drop-off analysis, revenue impact calculations with conservative to optimistic scenarios, and prioritized optimization recommendations with testing roadmap.

Input

What you provide to the skill

Analyze my checkout funnel: 8000 visitors → 4000 product views → 1600 carts → 800 purchases. AOV is $75.

Output

What the skill generates for you

Conversion Funnel Analysis

Total Visitors: 8,000
Total Customers: 800
Overall Conversion Rate: 10%
Average Order Value: $75
Total Revenue: $60,000


Step-by-Step Drop-Off Analysis

Step Users Drop-Off Drop-Off % Step Conv. % Cumulative Conv. %
Visitors 8,000 - - - 100%
Product Views 4,000 -4,000 50% 50% 50%
Add to Cart 1,600 -2,400 60% 40% 20%
Purchase 800 -800 50% 50% 10%

Critical Insight: Biggest Bottleneck

🚨 Product Views → Add to Cart: 60% drop-off (2,400 users lost)

This is your highest-impact optimization opportunity:

  • Users lost: 2,400 (largest absolute drop)
  • Current conversion: 40%
  • Opportunity: If you improve this step by just 15% (40% → 46%), you’d recover 240 users

Revenue Impact Estimation:

  • Conservative (10% improvement → 44% conv.): +160 users to cart → +80 purchases (160 × 50% existing checkout rate) → +$6,000
  • Moderate (15% improvement → 46% conv.): +240 users to cart → +120 purchases (240 × 50% existing checkout rate) → +$9,000
  • Optimistic (25% improvement → 50% conv.): +400 users to cart → +200 purchases (400 × 50% existing checkout rate) → +$15,000

Secondary Bottleneck

Visitors → Product Views: 50% drop-off (4,000 users lost)

Half your visitors never view a product:

  • Users at Visitors: 8,000
  • Current conversion to Product Views: 50%
  • Opportunity: Improving by 15% (50% → 57.5%) adds 600 users to Product Views

Revenue Impact Calculation:

  • +600 users view products
  • 40% add to cart (existing rate) = 600 × 0.40 = 240 to cart
  • 50% complete purchase (existing rate) = 240 × 0.50 = 120 purchases
  • Revenue: 120 × $75 = +$9,000

Prioritized Recommendations

Priority 1: Reduce Product Page → Cart Drop-Off (Potential: $9K-$15K)

  • Add prominent customer reviews and ratings on product pages
  • Implement “frequently bought together” recommendations
  • Add urgency indicators (low stock alerts, limited-time offers)
  • Display shipping costs and delivery estimates upfront
  • Use high-quality product images with zoom functionality
  • Add video demonstrations or 360° product views
  • Implement size guides or product comparison tools
  • Test different CTA button copy (“Add to Cart” vs “Buy Now”)
  • Highlight return policy and guarantees prominently

Priority 2: Improve Visitor → Product View Engagement (Potential: $9K)

  • Optimize homepage to showcase best-selling products immediately
  • Improve site navigation and category structure
  • Reduce page load time (target <2 seconds)
  • Add trust signals on landing pages (badges, testimonials)
  • Implement personalized product recommendations
  • Create compelling hero banners with clear value propositions
  • A/B test different homepage layouts
  • Add search functionality with autocomplete
  • Display social proof (customer count, recent purchases)

Priority 3: Optimize Cart → Purchase Completion (Potential: $4.5K)

  • Simplify checkout to minimum required fields
  • Offer guest checkout option
  • Display progress indicator for checkout steps
  • Add multiple payment methods (Apple Pay, PayPal, etc.)
  • Show security badges and SSL indicators
  • Implement abandoned cart email recovery
  • Display shipping costs before checkout page
  • Add exit-intent popups with discount offers
  • Test one-page vs multi-step checkout

Quick Win Opportunity

Your checkout completion rate (50% from cart to purchase) is decent but has room for improvement. However, you’re losing the most customers earlier in the funnel. Focus on getting more people to add products to cart first - this is your biggest leak.

Recommended Testing Sequence:

  1. Week 1-2: Product page optimization (add reviews, urgency, better images)
  2. Week 3-4: Homepage engagement improvements (navigation, speed, recommendations)
  3. Week 5-6: Checkout flow refinements (reduce friction, add payment options)

Expected Cumulative Impact: $18K-$33K additional revenue if all improvements hit moderate to optimistic targets.


Additional Context

What’s Working Well:

  • 50% of visitors viewing products is reasonable for e-commerce
  • 50% checkout completion rate is solid

What Needs Attention:

  • Only 40% of product viewers add to cart (industry benchmark: 45-55%)
  • This bottleneck suggests issues with product presentation, pricing clarity, or trust signals

Action Plan:
Start with Priority 1 (product-to-cart conversion) as it has the highest immediate impact potential. Implement 2-3 quick wins from the list above, measure results for 2 weeks, then move to Priority 2.