Clean Origin - Full Data Infrastructure & Self-Service Analytics

Challenge

Clean Origin was a fast-growing lab-grown diamond retailer with 52,000 SKUs — each with a unique combination of cut, clarity, carat, and setting requiring individual margin tracking. As the company scaled from online-only to omnichannel with six physical stores, their data landscape grew increasingly fragmented.

Sales data lived in Magento. Physical stores ran on separate POS systems. Marketing spend, product catalogs, promotions, geographic data, and customer service metrics were scattered across 20+ sources — including multiple platforms that evolved as the business grew.

The lack of a unified view meant the leadership team couldn’t answer fundamental questions: Which products have the highest margins? Where should we spend marketing dollars? Is opening a physical store worth it? What’s a customer worth over their lifetime?

Solution

Cloud Data Consulting built a comprehensive data infrastructure from the ground up:

• Data Ingestion: Connected 20+ data sources using Fivetran — including e-commerce (Magento), point-of-sale systems (KWI, Square), loyalty (Swell), accounting (Xero), customer service (Gladly), and dozens of supplementary datasets for product categorization, geographic analysis, and promotions
• Data Warehouse: Centralized everything in Snowflake as a single source of truth
• Transformation Layer: Built a semantic layer using dbt to transform raw data into business-ready datasets with SKU-level profitability, geographic analytics, and customer journey tracking
• Self-Service Analytics: Deployed Looker dashboards for sales performance, inventory management, customer analytics, and marketing ROI — designed for daily use by non-technical leadership

Results

Hard Metrics

Metric	Result
Data sources unified	20+
SKUs with individual margin tracking	52,000
Report generation time reduction	85%
Inventory turnover improvement	32%
Regional sales lift from first physical store	2x
Physical store expansion decisions informed	6 stores

Business Outcomes

Data-Driven Omnichannel Expansion ZIP code-level geographic analytics enabled Clean Origin to run a controlled experiment with their first physical store in Dallas. The data showed the store doubled regional sales at ~50% gross margin — more than covering costs and reducing marketing spend in the region. This validated the model for five additional store openings across diverse markets.

Daily Pricing and Marketing Optimization SKU-level margin tracking across 52,000 products enabled daily pricing and repricing decisions. Marketing spend was targeted against the highest gross-margin products by geography and customer segment — turning the company’s largest cost into a precision instrument.

Customer Lifetime Value Strategy Analytics revealed that 85% of site browsing was done by women, while 90% of traditional bridal purchases were made by men. This insight reshaped the company’s approach to customer lifetime value — focusing on converting one-time bridal buyers into repeat customers for anniversary, birthday, and fashion purchases, driving acquisition costs toward zero on subsequent sales.

Self-Service Analytics for Leadership The CFO’s team used Looker dashboards every single day, creating ad hoc reports without engineering support. What previously took days of manual data pulling became minutes of self-service analysis.

Successful Exit Clean Origin was acquired with clean, unified, well-documented data infrastructure in place — reducing due diligence friction and demonstrating operational maturity.

Client Testimonial

“Cloud Data Consulting was tremendous — we wouldn’t have been able to do it without you.”

“The maintenance on it was really low. The usefulness of it was very good. We could create our own queries really pretty easily.”

“You guys were terrific… very flexible… reasonable in terms of cost.”

— Jeb Beckwith, Former CFO, Clean Origin

Technologies Implemented

• Snowflake — Cloud data warehouse
• dbt — Data transformation and semantic layer
• Fivetran — Data ingestion (20+ connectors)
• Looker — Self-service analytics and dashboards

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