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 Autotrader.com and KBB.com. 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.
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.
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