Can I A/B test different price per wear strategies?

Yes! Weario makes it easy to test different approaches:

🧪 Testing Strategies:

• Different usage amounts: Test conservative vs. optimistic usage estimates

• Label variations: Compare 'per wear' vs. 'per use' vs. 'per day'

• Product coverage: Test which product categories benefit most

• Slider settings: Test with and without customer adjustment options

🎯 How to Set Up Tests:

• Use variant-specific Product Sets to target different variants

• Create separate Product Sets with different settings

• Use tags to easily switch products between test groups

• Monitor performance through your analytics

📊 What to Measure:

• Add-to-cart rates

• Time spent on product pages

• Conversion rates

• Average order value

• Customer engagement with sliders/calculator

💡 Pro Tips:

• Start with your highest-value products

• Test one variable at a time for clear results

• Pro plan users can test calculator vs. no calculator

• Run tests for at least 2 weeks for statistical significance

🚀 Coming Soon: Built-in analytics will make A/B testing even easier with detailed performance metrics including visitor interactions, click-through rates, and attributed sales data.

Need help designing your A/B test? Contact support@mangorocket.io for strategic guidance!