E-Commerce Analytics & Business Intelligence
Transform fragmented data into actionable, automated intelligence.
Data without clarity is noise. Modern commerce operations span dozens of platformsâShopify, ad networks, 3PLs, customer service desksâeach creating isolated data silos. Our E-Commerce Intelligence solutions unify these fractured sources into a single, cohesive source of truth. We engineer robust data pipelines into modern warehouses (Snowflake, BigQuery), configure complex attribution models, and build customized Business Intelligence (BI) dashboards. We shift your operations from reactive reporting to proactive, predictive intelligence.
TARGET MERCHANTS & USE CASES
- Data-driven brands struggling to calculate true Customer Acquisition Cost (CAC) and Lifetime Value (LTV).
- Merchants relying on manual spreadsheets seeking automated, real-time financial reporting.
- Executive teams requiring high-level visibility into multi-channel profitability and cohort retention.
- Marketers needing accurate, multi-touch attribution models beyond standard platform reporting.
What's Included
- Cloud Data Warehouse setup (Google BigQuery, Snowflake) and data engineering.
- Automated ETL pipeline configuration pulling from Shopify, Meta, Google Ads, and ERPs.
- Custom Business Intelligence (BI) dashboard design in Looker Studio, Tableau, or PowerBI.
- Advanced Customer Cohort Analysis and predictive Lifetime Value (LTV) modeling.
- Multi-touch marketing attribution setup to accurately assess advertising ROI.
- Real-time profit margin tracking including exact COGS, shipping, and gateway fees.
Key Deliverables
- Fully configured and secure Cloud Data Warehouse storing normalized operational data.
- Suite of Custom BI Dashboards (Executive Summary, Marketing ROI, Financial Ledgers).
- Automated ETL pipelines replacing all manual spreadsheet data entry.
- Data Governance playbook detailing metric definitions and attribution logic.
- Training workshops for marketing and finance teams on utilizing the BI tools.
Implementation Timeline
Phase 1: Data Audit & Metric Definition
We audit existing analytics setups, map data silos, and define the 'Source of Truth' logic for critical metrics.
Phase 2: Data Warehouse & Pipeline Engineering
Our data engineers deploy the cloud warehouse and establish secure, automated ETL connections to all relevant APIs.
Phase 3: Data Normalization & Modeling
We clean the raw data, structuring it into optimized schemas for financial reporting, marketing attribution, and cohort analysis.
Phase 4: BI Dashboard Design & Build
We design and build the interactive dashboards in your preferred BI tool, connecting them directly to the modeled data warehouse.
Phase 5: Validation, QA, & Team Training
We rigorously validate dashboard outputs against raw platform data and train your teams to leverage the new intelligence.
Frequently Asked Questions
What is e-commerce analytics?
E-commerce analytics is the practice of collecting, unifying, and interpreting data across your entire digital operation. It moves beyond basic metrics like 'sessions' and 'conversion rate' to deeply analyze customer behavior, marketing attribution, inventory velocity, and true net profitability across all channels.
Why can't I just use Google Analytics and Shopify reports?
Native platform reports are siloed and often disagree. Google Analytics struggles with cross-device attribution and doesn't know your exact shipping costs. Shopify doesn't track your Facebook ad spend. We build unified warehouses that merge these data streams, allowing you to see the true ROI of a campaign after factoring in COGS and fulfillment.
What is a Data Warehouse and do we need one?
A data warehouse (like BigQuery or Snowflake) is a centralized, highly structured repository designed for fast querying of massive datasets. If you are manually downloading CSVs from multiple platforms and merging them in Excel to calculate margins or LTV, you need a data warehouse to automate and secure that process.
COMPLEMENTARY SYSTEMS
Configure this architecture for your catalog with our primary architects.