Julian is a Senior Data Scientist at Buffer, specializing in analyzing large datasets to uncover social media trends. His recent work focuses on quantifying how posting frequency and user engagement impact content performance on platforms like LinkedIn and Instagram. He holds a Bachelor of Arts from the University of Wisconsin-Madison.
During his time at university, Julian was a member of the Sigma Alpha Epsilon fraternity. He has also shown an interest in environmental causes, specifically the protection of marine mammals.
His analysis of 72, 000 LinkedIn posts revealed that replying to comments can boost a posts engagement by approximately 30%.
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