Maximizing Revenue Per Visitor

RPV = Total Revenue / Total Unique Visitors. It combines conversion rate (CR) and average order value (AOV) into one number: RPV = CR x AOV. A layout that converts 3% at $80 AOV produces $2.40 RPV. A layout that converts 2.5% at $100 AOV produces $2.50 RPV. Traditional A/B testing tools focused on conversion rate would pick the first layout. Eevy AI's genetic algorithm picks the second because it generates more revenue per visitor. Over 10,000 visitors, that is $1,000 more revenue. This is why Eevy AI's optimization can find winning layouts that simple conversion-focused tests miss.

Your dashboard shows RPV at multiple levels: Store-level RPV — overall RPV across all sections; Section-level RPV — RPV for sessions that saw a specific section; Variant-level RPV — RPV for each layout variant being tested. The most actionable view is section-level RPV compared to your store's baseline (sessions without Eevy AI sections). This delta shows the actual RPV lift your sections are providing. A healthy store-level RPV trend shows consistent improvement over generations.

Add more section types: Each section type addresses different trust signals. Review summaries build confidence quickly, while UGC videos drive emotional connection. More trust signals = higher conversion and potentially higher AOV as customers feel confident buying premium products or adding items. Enable cross-sell sections: Shoppable product reviews and shoppable video can increase AOV by surfacing related products within social proof. Optimize review quality: Use review collection to gather more photo and video reviews. Rich media reviews have higher persuasive power.

RPV varies enormously by product category and price point. General Shopify benchmarks: Fashion: $1.50-$3.00 RPV; Beauty: $1.00-$2.50 RPV; Electronics: $3.00-$8.00 RPV; Home goods: $2.00-$5.00 RPV; Food and beverages: $0.80-$2.00 RPV. Do not compare your RPV to other categories — focus on improving your own RPV over time. A 10-20% RPV improvement from Eevy AI optimization is common within the first few months.

Do not optimize for sessions with zero RPV: Some sessions will never convert regardless of layout. The algorithm accounts for this. Watch for seasonality: RPV spikes during sales events and dips in slow seasons. Compare RPV year-over-year or generation-over-generation rather than day-over-day. Separate paid vs organic traffic: If possible, segment your RPV data by traffic source. Paid traffic often has different RPV patterns than organic. The genetic algorithm optimizes for all traffic combined, but understanding the breakdown helps you make better marketing decisions.