Case Study: Cox Automotive saves 400+ hours yearly with Optimizely Analytics

Cox Automotive saves 400+ hours yearly with Optimizely

Cox Automotive, a large automotive services company, faced significant challenges with its analytics and experimentation program. After years of painful migrations between systems like Adobe and Google Analytics, their team was burdened by manual processes, spending 4-5 hours per test on offline data pulls and t-tests in Excel. This created capacity limits, data trust issues, and an inability to scale testing for stakeholders. They turned to Optimizely, specifically its Warehouse-Native Analytics solution, to solve these core problems.

Optimizely implemented its analytics platform directly on top of Cox Automotive's existing Snowflake data warehouse, creating a single source of truth. This eliminated data discrepancies and allowed the team to build reusable dashboards in minutes instead of hours. The solution automated statistical analysis and enabled adding metrics without engineering support. As a result, Cox Automotive saves over 400 hours yearly, increased testing velocity, and restored trust by reporting from the same data leadership uses for OKRs. Optimizely's solution transformed their experimentation program from a manual burden into a scalable, trusted asset.

Cox Automotive