Data Engineering & Analytics for eCommerce

• CAC & ROAS analysis
• Attribution modeling
• Customer segmentation
• Subscription analytics
• Campaign performance dashboards

• Product profitability
• Variant-level performance
• Collection heatmaps
• Inventory forecasting
• Return & defect analytics

• Inventory turnover
• Warehouse performance
• Reorder triggers
• Supplier performance

• Revenue & margin breakdown
• Cash flow forecasts
• Profitability dashboards
• Cost of goods (COGS) modeling

• Customer journey analytics
• Ticket volumes & CSAT
• Churn analysis
• Retention cohorts

No. Small datasets are actually a trusted time to set up clean pipelines - you fix tracking and modeling before bad data accumulates. We design the architecture to scale from thousands to millions of events without rework, so early-stage brands get trustworthy numbers now and a foundation that grows with them.

Yes. We ingest Shopify data - orders, customers, products, events - into your warehouse alongside marketing and operational sources, including multi-store and multi-region setups with currency normalization. That gives you cross-store reporting Shopify's native analytics can't produce, and a single source of truth for finance and marketing.

A focused implementation - warehouse, core pipelines, first dashboards - takes four to six weeks. Full builds with multiple data sources, modeling layers, and department-specific reporting run eight to twelve weeks. We ship in increments, so you get usable dashboards within the first month rather than waiting for the whole system.

Yes. We migrate existing dashboards from Looker, Power BI, Tableau, and other BI tools - preserving the metrics your team relies on while fixing definitions that drifted over time. Migration is also the natural moment to consolidate duplicate reports and document metric logic so numbers stop varying between tools.

Yes. Beyond the initial build we offer ongoing analytics support: pipeline monitoring, new report development, metric reviews, and a monthly insights readout that turns data into decisions. Retainers are sized to your stack - most clients start small after launch and scale hours as reporting needs grow.

Yes. We connect ERP and CRM systems - alongside your store, ad platforms, and support tools - into one warehouse model, so margin, inventory, and customer-lifetime metrics reflect the whole business rather than one silo. Standard connectors cover the major platforms; custom APIs handle the rest.