automated e-commerce data ingestion
Automatically connects to and pulls data from major e-commerce platforms (Shopify, WooCommerce, custom APIs) without manual export/import workflows. Handles ongoing data synchronization to keep analytics current.
profitability metric calculation
Analyzes raw sales and cost data to automatically calculate and surface profitability metrics like margins, contribution profit, and ROI by product, customer, and campaign. Moves beyond vanity metrics to focus on actual profit drivers.
product performance ranking
Automatically ranks products by profitability, margin, and revenue contribution. Identifies underperforming SKUs and high-margin products that deserve more marketing attention.
customer profitability segmentation
Segments customers into profitability tiers (high-value, break-even, loss-making) based on lifetime value, acquisition cost, and repeat purchase behavior. Helps identify which customer cohorts drive actual profit.
campaign roi analysis
Automatically calculates return on investment for marketing campaigns by attributing revenue and profit to specific campaigns or channels. Identifies which campaigns drive profitable vs. unprofitable sales.
revenue leak detection
Identifies patterns in data that indicate lost revenue opportunities—such as high cart abandonment rates, underpriced products, or inefficient fulfillment costs. Surfaces hidden profitability drains.
natural language insight generation
Converts complex data analysis into human-readable business insights and recommendations without requiring users to understand SQL or data science. Explains what the data means and why it matters.
comparative period analysis
Automatically compares profitability metrics across time periods (week-over-week, month-over-month, year-over-year) to identify trends and seasonal patterns in product performance and customer behavior.
+1 more capabilities