# RA Warehouse eCommerce Package for dbt - Pre-built Analytics Solution | Rittman Analytics

URL: https://rittmananalytics.com/ra-warehouse-ecommerce
Description: Stop guessing which marketing channels work. Our pre-built eCommerce analytics package for dbt Core delivers LTV, CAC, attribution, and cohort analysis in weeks, not months. Get unified data insights from Shopify, Google Analytics, and ad platforms.

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Start Driving Profitable Growth.

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 Repo](https://github.com/rittmananalytics/ra_warehouse_ecommerce_v2)

## When Your Data Can't Keep Up with Your Customers

As 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're Flying Blind on Attribution

You can't connect ad spend to the actual LTV of the customers they acquire.

### You Don't Know Your True Customer Value

Calculating an accurate LTV or understanding your most valuable customer segments is a manual, error-prone process.

### Your Team is Drowning in Manual Reporting

Your most valuable team members spend hours every week in spreadsheets, leaving no time for strategic analysis.

## Answer Your Most Critical E-commerce Questions,  
Out-of-the-Box

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.

### Customer Lifetime Value (LTV)

Accurately calculated and sliced by acquisition cohort or channel

### Customer Acquisition Cost (CAC)

A blended CAC across all channels for a true profitability picture

### LTV:CAC Ratio

The ultimate measure of marketing efficiency

### Cohort Retention Analysis

Track how well you retain customers from each monthly acquisition cohort over time

### RFM Segmentation

Automatically segment your customers by Recency, Frequency, and Monetary value to identify your VIPs, at-risk customers, and more

![Executive Overview Dashboard showing key eCommerce metrics](https://rittmananalytics.com/lovable-uploads/dc3f27d9-3cf7-4209-bb4e-97e303a0e18b.png)

## Create a Single View of your eCommerce KPIs

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

![eCommerce data flow diagram showing integration from platforms like Shopify, Google Ads, Facebook Ads to dbt and analytics outcomes](https://rittmananalytics.com/lovable-uploads/374f647b-8110-4e96-ad91-9ab1b2da1a5b.png)

## Accelerate Your Journey to Data-Driven Growth

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.

### Rapid Time to Value

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.

### Flexible & Extensible

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.

### Best Practices Built-In

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.

## Open-Source dbt Package for eCommerce Analytics

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.

### Key Features

#### Multi-Source Integration

Shopify, Google Analytics 4, Google/Facebook/Pinterest Ads, Klaviyo, Instagram Business

#### Layered Architecture

Staging → Integration → Warehouse with clear separation of concerns

#### Data Quality Monitoring

Comprehensive pipeline health tracking and data quality metrics

#### Attribution Analysis

Multi-touch customer journey attribution across all touchpoints

#### Performance Analytics

Campaign performance, customer segmentation, product analytics

#### Comprehensive Testing

100+ data tests for data integrity and business rules

Need help adopting, customizing, or extending the package to cover additional data sources?

### Open-Source & Extensible

![GitHub repository showing dbt package structure](https://rittmananalytics.com/lovable-uploads/67d05688-7803-4136-ba31-a62f1b5bd80a.png)

## Ready to Centralise Your eCommerce KPIs?

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

[View Github Repo](https://github.com/rittmananalytics/ra_warehouse_ecommerce_v2)