Analytics
Track performance and optimize your bundles
Key Metrics
- Bundle Revenue — Total revenue from orders using bundles. Tracked via purchase flow IDs when orders complete.
- Bundle Orders — Number of orders where bundles were used. Calculate adoption rate: bundle orders ÷ total orders.
- Top Bundles — Ranked by revenue or order count. Identify your best performers to replicate.
- Average Order Value — Average $ per bundle order. Compare to store AOV to measure impact.
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Analytics Dashboard

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Time Periods
Select the right timeframe for your analysis:
Last 30 Days — Best for testing new bundles, active monitoring, and quick feedback on changes. Use for short-term promotions.
Last 90 Days — Best for quarterly performance, strategic planning, and smoothing fluctuations. Use for trend analysis.
Last 365 Days — Best for seasonal patterns, year-over-year growth, and annual planning. Use for long-term optimization.
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Optimization Playbook
Test Discount Levels
Framework:
- Create baseline (e.g., 10% off)
- Run 30 days, track metrics
- Test variation (e.g., 15% off)
- Run 30 days, compare
- Keep winner, test further
Compare: Revenue, orders, AOV, profit margin
Example: 10% → 15% increased revenue 50% with same AOV
Identify Seasonal Trends
Look for patterns:
- Q4 holiday spikes
- Summer slowdowns
- Back-to-school surges
- Industry-specific cycles
Take action:
- Create seasonal bundles in advance
- Increase discounts during slow periods
- Reduce discounts during high demand
Example: 60% of revenue in Nov-Dec → Focus on holiday bundles
Replicate Success
When you find a winner:
- Identify success factors — discount level, tier structure, product type, styling
- Apply to similar products
- Test variations
Example: "Protein Volume" (3 tiers, 10/15/20% off) worked → Applied to all supplements, all became top-5 performers
Fix Underperformers
Signs of trouble:
- Low revenue vs other bundles
- Few orders after 30+ days
- Declining trend
Try:
- Increase discount 5-10%
- Simplify tier structure
- Change badge text
- Improve widget styling
- Test on different products
Example: $200 in 30 days → Increased discount from "Buy 2 Get 1" to "Buy 1 Get 1" → Revenue jumped to $800
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Decision Framework
After 30 days of data:
Revenue | Action |
|---|---|
$0 | Deactivate immediately |
$1-200 | Adjust discount, test 30 more days |
$200-1000 | Keep as is, monitor |
$1000+ | Promote heavily, replicate strategy |
When to deactivate:
- Zero orders after 90 days
- Declining revenue month-over-month
- Product out of stock
- Promotion period ended
- Better alternative tested
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Best Practices
- Check Weekly — Review metrics every week for optimization opportunities
- Track Profit — Revenue - COGS - Discount = Profit. High revenue ≠ high profit.
- Test One Variable — Change only discount OR tiers OR styling, not all at once
- Give Time — Wait 30 days minimum before making decisions
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Common Questions
Why is revenue zero?
Checklist:
- Bundle is Active (not Draft)
- Widget showing on product pages
- Site is published
- Wait 24-48 hours for orders
If still zero after 7 days, consider increasing discount.
Revenue doesn't match Wix dashboard
This is normal!
- Bundle analytics: Only orders where bundles were used
- Wix dashboard: All orders (bundle + non-bundle)
Bundle revenue is a subset of total revenue.
Volume vs BOGO — which is better?
It depends on your products, your audience, and your goals. Test both on similar products and compare over 90 days.
Generally:
- Volume: Better for consumables, repeat purchases
- BOGO: Better for promotions, clearance
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Resources
- Manage Bundles — Edit and optimize offers
- Create Bundle — Build a new offer
Updated on: 11/06/2026
Thank you!