Autotrader Case Study: Migrating from Home-Grown Testing to Best-in-Class Tooling

Autotrader's Product and Engineering teams were ahead of the curve many years ago when they built a home-grown solution for leveraging feature flags to support server-side testing. Over the years, the industry eventually caught up and surpassed this proprietary tooling and the team had a choice to make: Re-invest into the local solution or completely retool. In this case study, Scott Povlot, Principal Technical Architect, and Seth Stuck, Director of R&D Analytics, will discuss their journey in selecting and then migrating to their next generation of experimentation tooling. They will discuss selection criteria, pros and cons, and outline how they were able to make the migration to Optimizely successful and lessons learned along the way.


Scott Povlot is a technical architect at Cox Automotive focusing on the vehicle listings at and He specializes in creating performant, reliable and user friendly websites that do what the user expects. Scott likes the scientific method and data over drama.

Scott Povlot

Principal Technical ArchitectCox Automotive


Seth leads R&D, experimentation and analytics for emerging AI and machine learning technologies deployed across more than 20 Cox Automotive brands such as Autotrader, Kelley Blue Book, and Manheim.

Seth Stuck

Director, Analytics R&DCox Automotive


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