Discover which bundle variations drive the most sales with Atlas's built-in A/B testing feature. Test different offers, pricing, and presentations to find what converts best for your customers.A/B testing with Atlas lets you run scientific experiments on your bundles to maximize revenue. Instead of guessing what works, you can test multiple versions simultaneously and let real customer data guide your decisions.
Getting Started with A/B Testing
Prerequisites: You need a published, active bundle to start A/B testing.What You Can Test:
Different discount percentages
Various offer structures and tiers
Alternative product combinations
Different bundle titles and descriptions
Pricing strategies
Step 1: Enable A/B Testing
Navigate to your bundle editor and find the "A/B Testing" tab:
1.- Open your bundle from the dashboard
2.- Click the "A/B Testing" tab in the bundle editor
3.- Click "Enable A/B Testing" button
Once enabled, Atlas automatically creates your first variant (Variant A) as a copy of your original bundle.
Step 2: Create Additional Variants
Test up to 4 different versions of your bundle:
1.- Click the "+" button in the A/B Testing tab to add new variants
2.- Switch between variants using the A, B, C, D buttons
3.- Edit each variant independently - change offers, pricing, products, or presentation
💡 Pro Tip: Start with small, meaningful changes. Test one element at a time (like discount percentage) rather than changing everything at once.
Step 3: Customize Your Variants
For each variant, you can modify:Offers & Pricing:
Adjust discount percentages for different tiers
Change quantity requirements (Buy 2, Buy 3, etc.)
Modify badges ("Most Popular", "Best Value")
Products & Structure:
Add or remove products from the bundle
Change product order and presentation
Update bundle titles and descriptions
Visual Elements:
Modify button text
Adjust layout and positioning
Step 4: Monitor Performance
Atlas automatically tracks performance for all variants:
1.- Click "View Analytics" in the bundle dashboard next to any A/B testing bundle
2.- Compare key metrics across variants:
Impressions: How many people saw each variant
Clicks: How many engaged with the bundle
Click Rate: Percentage of viewers who clicked
Revenue: Total sales generated
Revenue Per Visitor: Average value per person
Traffic Distribution: Atlas automatically splits traffic evenly between your active variants, ensuring fair testing.
Step 5: End Your Test & Choose a Winner
When you have enough data to make a decision:
1.- Review the analytics to identify the best-performing variant
2.- Click "End Test" next to the winning variant
3.- Confirm your choice - Atlas will:
Make the winning variant your main bundle
Remove the losing variants
Continue serving the optimized version to all customers
Best Practices for A/B Testing
🎯 Test Duration:
Run tests for at least 1-2 weeks to gather meaningful data
Ensure you have enough traffic (minimum 100+ impressions per variant)
📊 What to Test:
Discount levels: 10% vs 15% vs 20% off
Tier structure: Buy 2 vs Buy 3 requirements
Product mix: Different product combinations
Messaging: "Save More" vs "Bundle Deal" vs "Limited Time"
⚠️ Avoid These Mistakes:
Don't end tests too early - give them time to collect data
Don't test too many elements at once
Don't ignore statistical significance - small differences might not be meaningful
🚀 Advanced Tips:
Test seasonal variations (holiday messaging, summer bundles)
Experiment with urgency elements ("Limited Time", "While Supplies Last")
Try different visual presentations and layouts
Understanding Your Results
Clear Winners: When one variant significantly outperforms others in both click rate and revenueClose Calls: If variants perform similarly, consider factors like:
Ease of management
Inventory considerations
Brand alignment
Customer feedback
No Clear Winner: Sometimes tests reveal that changes don't impact performance - that's valuable data too!
💡 Pro Tip: Continuous Optimization
A/B testing isn't a one-time activity. After implementing a winning variant:
1.- Wait 2-4 weeks for performance to stabilize
2.- Run new tests on different elements
3.- Build on your learnings from previous tests
4.- Keep optimizing - small improvements compound over time
🎯 Ready to Start Testing?A/B testing is one of the most powerful ways to increase your bundle performance. Start with simple tests, gather data, and let your customers show you what works best.Remember: Every store is different, and what works for others might not work for you. That's exactly why A/B testing is so valuable - it gives you data specific to your customers and products.Start your first A/B test today and discover what drives the most revenue for your store!