Sidecar with Phil Turicik (2/24/2017)
By: Tabby Miller
Temple Alum Phil Turicik spoke to TU-AMA about his position with Sidecar, a Philadelphia based tech company that works with several big-name brands like Under Armour, Burlington, and Boscov’s. Sidecar combines data science and machine learning to optimize online shopping campaigns on Facebook, Google Shopping, and Bing Shopping. Machine learning gives computers the ability to learn without being programmed. Combining machine learning with client data allows the technology to make the best decisions for the success of the company’s campaign.
The Sidecar team is split into four sections: Data Science and Software Engineering, Sales and Marketing, Onboarding and Launch, and Client Services. The Data Science and Software Engineering team works on the technology aspect of Sidecar. Their goal is to keep up with the ever-changing technology used in data analytics. Sales and Marketing focuses on company identity, branding, social media, and reaching out to new clients. Onboarding and Launch picks up where Sales and Marketing leaves off, setting up clients in the Google Shopping environment. Finally, Client Services, where Turicik works, focuses on client retention, driving revenue, and keeping Sidecar’s services efficient. Turicik serves as the direct line between clients and Sidecar. As Client Success Manager, his role heavily involves communication with clients to discuss performance, goals, and changes in the campaign.
Sidecar strongly believes in staying ahead of the curve and changing before change is necessary. The company’s main objective is to drive success for clients by applying newly developed technology. Their rapidly growing team works to expedite product evolution using customer feedback and data learning. They strive to grow revenue, improve efficiency, and increase brand and product exposure through increasing site traffic and new customer acquisition.