Data is the new oil—but it’s worthless without refinement. At Trailytics, we transform raw, messy data into actionable intelligence using advanced analytics—enabling brands to make smarter, faster, and more profitable decisions.
Advanced Analytics Use Cases:
1. SKU-Wise Profitability Analysis
Beyond GMV, we deep dive into net profit per SKU, factoring in returns, commissions, ad spends, and fulfillment costs to highlight true brand health.
2. Geo & Demographic Segmentation
Brands can identify high-potential micro-markets using heatmaps, behavioral segmentation, and cohort analysis—fueling targeted campaigns.
3. Price Elasticity Modelling
Should you drop price or offer cashback? Our elasticity models simulate different scenarios, allowing brands to find the sweet spot for conversions and margin.
4. Sales Velocity & Burn Rate Metrics
We provide forward-looking metrics to help brands pace their inventory, budget marketing spends, and improve capital efficiency.
Client Case: A D2C food brand saw a 41% revenue lift and reduced CAC by 33% after switching to Trailytics’ deep analytics suite across Flipkart, Amazon & Blinkit.
Conclusion
Raw data is noisy. But with Trailytics, it’s refined into strategic intelligence. From pricing to geo-targeting, we empower brands to use data like a weapon.