E-Commerce Data Analysis
Our E-Commerce Data Analysis services help online businesses unlock deep insights across sales, customers, marketing, and inventory. By leveraging data from platforms like Shopify, WooCommerce, Amazon, or custom stores, we transform raw data into clear actions that improve revenue, retention, and ROI.
Key Features
- Sales Performance Monitoring – Track revenue, orders, and product-level performance over time.
- Customer Segmentation – Group buyers by behavior, region, value, and demographics.
- Marketing Attribution – Analyze campaign impact across email, social, paid ads, and SEO.
- Inventory & Stock Analytics – Optimize stock levels, forecast demand, and reduce dead inventory.
- Churn & Repeat Purchase Analysis – Understand retention, LTV, and customer lifecycle stages.
- Product Affinity & Basket Analysis – Discover bundling, upselling, and cross-selling opportunities.
Use Cases by Function
Identify which channels, campaigns, or creatives bring high-value customers. Optimize ad spend and email targeting using conversion funnels.
Detect best-selling SKUs, seasonal trends, and pricing effects. Drive catalog expansion and pricing strategy.
Forecast demand accurately, detect overstock, and sync inventory across locations or warehouses.
Use analytics to track return reasons, negative reviews, and support resolution times for better CX.
Create executive-level dashboards with real-time data from platforms, CRMs, and third-party APIs.
Why Partner with Us
We work with Shopify, Amazon, WooCommerce, Magento, and custom APIs. Automated pipelines to keep your dashboards live.
Ready-to-use KPIs, visuals, and alerts tailored for e-commerce business owners and analysts.
Daily, weekly, or monthly insights delivered via dashboards, email, or cloud-based tools.
Go beyond historical metrics with ML-based forecasting and recommender systems.
We don’t just visualize—we interpret and provide next-step strategies for growth.
Engagement Models
Visualize key business metrics like sales, cart abandonment, AOV, and churn in a central dashboard.
Deep dive into specific problems like slow-moving inventory, high CAC, or ad underperformance.
Automated reports with alerts for anomalies, product trends, or customer drop-offs.
Track users through browse-to-purchase journey. Identify where and why users drop off.
Work with analysts to align data strategy with your growth objectives. Includes training and optimization plans.