Your e-commerce data is fragmented across Shopify, Google Analytics, and a dozen ad platforms. You're making critical budget and strategy decisions based on incomplete reports and manual spreadsheets, leaving revenue on the table.
Our packaged eCommerce analytics solution takes you from fragmented data to a single source of truth for attribution, LTV, and cohort analysis in weeks, not months.
View Github RepoAs a modern e-commerce brand, you're interacting with customers across countless touchpoints. But without a unified data foundation, you're facing a set of familiar, high-stakes challenges.
You can't connect ad spend to the actual LTV of the customers they acquire.
Calculating an accurate LTV or understanding your most valuable customer segments is a manual, error-prone process.
Your most valuable team members spend hours every week in spreadsheets, leaving no time for strategic analysis.
The RA Warehouse for E-commerce is a customisable and extensible dbt package and set of example React dashboards that solves the core analytics challenges for D2C brands. It integrates your transactional, behavioral, and marketing data into a single, cohesive data model, ready for analysis.
Accurately calculated and sliced by acquisition cohort or channel
A blended CAC across all channels for a true profitability picture
The ultimate measure of marketing efficiency
Track how well you retain customers from each monthly acquisition cohort over time
Automatically segment your customers by Recency, Frequency, and Monetary value to identify your VIPs, at-risk customers, and more

Everything you need to understand your customers, optimize marketing spend, and grow revenue, using our extensible and customisable dbt Package and LookML project

Building a custom data warehouse takes 6-12 months and is fraught with risk. Our pre-built solution delivers 80% of what you need in a fraction of the time, allowing you to focus on insights, not infrastructure.
Go from siloed data to a unified warehouse in 2-4 weeks. Our proven, pre-built data models are designed for rapid deployment and immediate business impact.
Our modular architecture allows you to use only the components you need and easily add custom metrics without breaking the core functionality. The open-source dbt code provides complete transparency and control.
Benefit from our years of expertise. We've built in best practices for identity stitching, incremental data processing, data quality testing, and comprehensive documentation, ensuring your platform is reliable and scalable from day one.
The RA Ecommerce Data Warehouse v2 is a comprehensive dbt project that integrates data from multiple ecommerce and marketing platforms, following best practices for data modeling and providing extensive analytics capabilities.
Shopify, Google Analytics 4, Google/Facebook/Pinterest Ads, Klaviyo, Instagram Business
Staging → Integration → Warehouse with clear separation of concerns
Comprehensive pipeline health tracking and data quality metrics
Multi-touch customer journey attribution across all touchpoints
Campaign performance, customer segmentation, product analytics
100+ data tests for data integrity and business rules
Need help adopting, customizing, or extending the package to cover additional data sources?

Get fast time-to-value with a packaged analytics solution from Rittman Analytics