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Case 6: Landing Page Performance Breakdown

Case 6: Landing Page Performance Breakdown

Section titled “Case 6: Landing Page Performance Breakdown”

Overall funnel showing 4.71% conversion (63,812 entered → 5,159 converted to achieve_screen_viewed)

Break down the funnel by landing page path name to see which pages perform differently

Step 1 → Step 2 conversion:

Landing PageConversion RateEnteredConvertedDropped Off
Overall Baseline4.71%63,8125,15958,653
/medication-tirzepatide-discount-015.80%33,8043,42930,375
/medication-tirzepatide4.95%9,3107528,558
/ (root page)1.83%8,1872197,968
/gs-tirzepatide0.93%4,525644,461
/medication-tirzepatide-pre-quiz-tt22.00% 🎯1,132401731
/medication-tirzepatide-pre-quiz7.54%1,088144944
/how-it-works1.98%1,00958951
/terms0.00%5843581
/medication1.05%56915554
Other (misc pages)0.00%1,68641,682

Pre-quiz landing pages perform dramatically better:

  • /medication-tirzepatide-pre-quiz-tt: 22.00% conversion (4.7x the baseline!)
  • /medication-tirzepatide-pre-quiz: 7.54% conversion (1.6x the baseline)

Informational pages have terrible conversion:

  • /terms: 0.00% (584 people, only 3 converted)
  • “Other” pages: 0.00% (1,686 people, only 4 converted)
  • /medication: 1.05% (569 people, 15 converted)
  • /gs-tirzepatide: 0.93% (4,525 people, 64 converted)

Main product/discount pages:

  • /medication-tirzepatide-discount-01: 5.80% (largest traffic volume: 33,804 people)
  • /medication-tirzepatide: 4.95%
  • / (homepage): Only 1.83% conversion with significant traffic (8,187 people)
  • This is below baseline and represents missed opportunity
  1. Pre-quiz funnel design works: Pages with embedded quiz convert at 3-4x higher rates

    • Hypothesis: Users who engage with quiz are more qualified/engaged
    • Hypothesis: Quiz reduces friction by breaking up the form into smaller steps
  2. Informational pages shouldn’t be in conversion funnels:

    • People landing on /terms, /how-it-works, /medication aren’t in buying mode
    • These pages need different CTAs or shouldn’t be counted in conversion metrics
    • If running ads to these pages, stop immediately
  3. Homepage needs optimization:

    • 8,187 people landing on / with only 1.83% conversion is a problem
    • Either improve the homepage experience or don’t drive traffic there
  4. Traffic allocation opportunity:

    • /medication-tirzepatide-discount-01 gets 33,804 visitors (most traffic)
    • But /medication-tirzepatide-pre-quiz-tt with only 1,132 visitors converts at 22%
    • Action: Test driving more traffic to pre-quiz variant
  5. Volume vs. Conversion trade-off:

    • Highest traffic page (discount-01) has middle-tier conversion (5.80%)
    • Best conversion page (pre-quiz-tt) has low traffic (1,132)
    • Need to balance volume and quality

Based on this segmentation, you’d want to:

  1. Deep dive into pre-quiz pages:

    • What’s different about these pages?
    • Watch session recordings of successful conversions
    • Can you replicate this design to other pages?
  2. Investigate why terms/info pages get traffic:

    • Are ads mistakenly driving to these pages?
    • Is organic traffic landing here?
    • Should these pages exist in your analytics at all?
  3. Compare user quality across segments:

    • Do people from pre-quiz pages complete the full funnel better?
    • Or do they just convert to step 2 then drop off later?
  4. Campaign analysis:

    • Which campaigns drive to which pages?
    • Are high-converting pages getting budget?
  5. A/B test insights:

    • Test pre-quiz design on discount landing pages
    • Test driving discount page traffic to pre-quiz variants

Without segmentation: “We have a 4.71% conversion rate and 90% drop-off problem”

  • This is vague and doesn’t tell you what to fix

With segmentation:

  • “Pre-quiz pages convert at 22%, we should drive more traffic there”
  • “Terms page has 0% conversion with 584 visitors, we need to stop driving traffic there or fix the page”
  • “Root page underperforms at 1.83% with 8,187 visitors - major optimization opportunity”

This is actionable intelligence.

  • ✓ Step 1: See aggregate (4.71% overall)
  • ✓ Step 5: Segment by dimension (landing page path)
  • ✓ Step 6: Find patterns (pre-quiz pages win, info pages fail)
  • ✓ Step 7: Form hypotheses and validate (pre-quiz design works better)
  • Breakdown functionality in funnel visualization
  • Ability to segment by any property (landing page path)
  • Side-by-side comparison of segments
  • Sortable columns to find best/worst performers
  • Volume + conversion rate both visible