Experiment Readout • June 1 – August 9, 2026 (10 Weeks)

Product Landing Page Redesign (Variants A–H)

Analysis of 1.82M visitor sessions evaluating layout, copy, and primary call-to-action performance across the full purchase funnel.

Recommendation: Ship Variant F Immediately

Variant F is the undisputed winner. Over 10 weeks, it increased completed purchases by +19.3% per visitor compared to the current page (Variant A), winning 63 out of 70 individual days. Conversely, while Variant C generated a massive +40% spike in CTA clicks, those extra clicks failed to convert at checkout—making it a classic "clickbait" trap.

Variant F Purchase Rate
2.21%
vs. 1.85% on Control A (+36 bps)
Relative Lift in Sales
+19.3%
95% CI: [+14.9%, +23.7%] (p < 0.0001)
Consistency (70 Days)
90% Win Rate
Beat Control A on 63 of 70 days
Sitewide Impact Estimate
+6,480 / mo
Incremental purchases at 100% traffic
🏆 Variant F: The True Winner +19.3% Sales

Variant F improved every single stage of the funnel over Control A: more visitors clicked (+8.2% relative), more clickers added to cart (+5.2%), and more cart-adders bought (+5.0%). Those compounding gains produced a +19.3% surge in purchases.

⚠️ Variant C: The "Clickbait" Trap -0.3% Sales

If we only measured CTA clicks, C would look like a triumph (48.9% CTR vs. A's 35.0%). However, C's cart-to-purchase rate collapsed to 24.9% (vs. A's 35.1%). It drove low-intent curiosity clicks that abandoned once they saw product details/pricing.

🔍 Variant E: The High-Intent Filter -1.7% Sales

Variant E had the lowest click rate of all versions (30.5% CTR), yet visitors who did click converted at the highest rate in the test (40.1% cart-to-purchase). E's copy likely pre-qualified buyers up front, filtering out window shoppers.

🛑 Variant H: Clear Underperformer -14.6% Sales

Variant H degraded performance across every step of the customer journey (32.8% click rate, 14.3% cart rate, 33.7% checkout rate), resulting in 613 fewer purchases than Control A. Variants B, D, and G showed no meaningful difference from A.

Overall Conversion to Purchase (Primary Goal)

Percentage of total landing page visitors who completed a purchase (with 95% confidence intervals). Variant F stands completely alone.

Why Clicks ≠ Purchases: The Funnel Trade-off

Comparing Top-of-Funnel engagement (Click Rate) against Bottom-of-Funnel qualification (Add-to-Cart to Purchase Rate).

Step-by-Step Funnel Decomposition

How each redesign altered visitor behavior at each sequential gate. Toggle metrics below to inspect specific drop-off points.

Complete Experiment Scorecard (10-Week Totals)

Aggregated totals across all 70 days (June 1 – August 9, 2026). Traffic split is balanced (~227.5k visitors per variant; SRM check p = 0.998).

Variant Role / Archetype Visitors Clicks Add to Cart Purchases 1. Click Rate (CTR) 2. Click → Cart 3. Cart → Buy Overall Purchase Rate Lift vs. Control (A)

Weekly Conversion Rate Stability

Weekly purchase conversion rate across all 10 weeks. Variant F's advantage is durable from Week 1 to Week 10—not driven by novelty or a single anomaly.

Cumulative Extra Purchases vs. Control (A)

Running total of net additional (or lost) purchases compared to Variant A over the 70-day window. Variant F steadily pulls away every week.

Performance by Day of Week

Average conversion rate by day of the week. Traffic peaks on Sundays (~3,510 visitors/variant) and dips on Saturdays (~2,990), with conversion peaking on Saturdays and Mondays.

What the Product Team Should Do Next

Concrete action plan based on the 10-week findings.

1

Roll out Variant F to 100% of traffic

Variant F is statistically significant well beyond industry standards (Z = +8.55, p < 0.0001) and shows zero novelty decay over 10 weeks. Shipping F to all ~1.82M visitors per 10-week cycle will generate roughly +6,480 incremental purchases per month.

2

Synthesize learnings from Variants E and C for V2

Audit what made Variant E's clickers convert at 40.1% once in the cart (e.g., clearer pricing, specs, or expectation-setting copy) and see if those trust elements can be blended into Variant F without hurting F's 37.9% click rate. Avoid Variant C's aggressive CTA tactics.

3

Keep "Purchase Rate" as the primary guardrail

Had we judged this test on CTA Click-Through Rate, we would have shipped Variant C—wasting engineering effort for zero sales gain and frustrating users who bounce after clicking.