Unsampled Analytics for High-Volume Retail.
Track millions of transactions during Black Friday without data sampling. Connect your storefront, marketing, and inventory data in the warehouse to measure true profitability, not just revenue.
E-commerce Command Center
Black Friday 2024 • Live
Trusted by companies worldwide
The Warehouse-Native Advantage for Retail
Handle Black Friday traffic without breaking a sweat. Get accurate, unsampled data at any scale.
True Profit Analysis
Don't just track Gross Revenue. Join sales data with Returns and Cost of Goods Sold (COGS) in your warehouse to optimize for Net Margin.
Omnichannel Identity
Track the full path from 'Mobile App Browse' to 'Desktop Purchase' to 'In-Store Return.' Mitzu unifies customer IDs across all touchpoints.
Black Friday Ready
GA4 often delays data by 24+ hours during peaks. Mitzu queries your warehouse directly, giving you real-time visibility when it matters most.
Fix the Checkout Flow.
Where do shoppers drop off? Shipping costs? Account creation? Pinpoint the exact step in the checkout funnel that kills conversions.
- Build multi-step funnels from cart to purchase
- Identify the exact page causing drop-offs
- Segment by device, channel, or customer type
- A/B test checkout improvements with precision
37.1% of users abandon at shipping. Consider offering free shipping thresholds.
| Cohort | M1 | M2 | M3 | M4 | M5 | M6 | M7 | M8 | M9 | M10 | M11 | M12 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jan | 100% | 42% | 28% | 24% | 22% | 21% | 20% | 19% | 18% | 18% | 17% | 17% |
| Feb | 100% | 45% | 31% | 26% | 24% | 23% | 22% | 21% | 20% | 19% | 19% | - |
| Mar | 100% | 48% | 34% | 29% | 27% | 25% | 24% | 23% | 22% | 21% | - | - |
| Apr | 100% | 44% | 30% | 25% | 23% | 22% | 21% | 20% | 19% | - | - | - |
| May | 100% | 46% | 32% | 27% | 25% | 24% | 23% | 22% | - | - | - | - |
| Jun | 100% | 50% | 36% | 30% | 28% | 26% | 25% | - | - | - | - | - |
$284
Avg LTV
Jun
Best Cohort
2.4x
Repeat Rate
Drive Repeat Purchases.
Who are your 'Whales'? Analyze Customer Lifetime Value (LTV) by acquisition channel to spend your ad budget on high-value cohorts.
- Track LTV by acquisition channel and campaign
- Identify high-value customer segments
- Analyze repurchase patterns over 12+ months
- Optimize ad spend for maximum ROI
Optimise Your Merchandising.
Discover which products are bought together. Use data to build better bundles and 'Frequently Bought Together' recommendations.
- Discover natural product pairings
- Build data-driven bundle offers
- Optimize 'Frequently Bought Together' widgets
- Increase Average Order Value (AOV)
| Primary Category | Paired With | Co-purchases | Rate |
|---|---|---|---|
| Running Shoes | Athletic Socks | 4,821 | 67% |
| Yoga Pants | Sports Bra | 3,947 | 58% |
| Protein Powder | Shaker Bottle | 3,256 | 52% |
| Tennis Racket | Tennis Balls | 2,891 | 71% |
| Hiking Boots | Hiking Socks | 2,654 | 49% |
The Retail Analytics Flow
From raw transaction data to actionable insights in three simple steps. No complex integrations required.
1. Ingest Your Data
Stream transactions from Shopify/Magento via Fivetran or Airbyte to your warehouse. Your data stays where it is—we only run queries.
2. Enrich & Join
Join with Marketing Spend, Inventory, and COGS data tables for complete visibility. Build a unified view of your retail operations.
3. Optimize & Grow
Visualise ROAS, Net Profit, and Customer LTV instantly. Build dashboards that drive real business decisions.
1B+
Events/Day Supported
100%
Unsampled Data
<1s
Query Response Time
Frequently Asked Questions
Everything you need to know about e-commerce analytics with Mitzu.
Ready to scale your e-commerce analytics?
Get started with warehouse-native analytics. Handle Black Friday traffic without breaking a sweat.