MarTech for fashion: +60% revenue -30% manual effort

Description

Video 45 minutes + PDF slides

MarTech for fashion: +60% revenue -30% manual effort

Sante Occhiuzzi abd Dianmarco guidi from ByteCode, discuss how MarTech can be utilized to scale businesses, citing a case study where they increased a fashion retailer’s revenue by 60% and reduced manual effort by 30%. They explain techniques such as automatic product clustering, intelligent dayparting, and predictive systems for emerging trend, and share best practices and the exact structure of successful campaigns.

Who is Sante Occhiuzzi

Digital Marketing Manager at Byte-Code SPA, he has many years of solid experience in the vast universe of digital marketing and large-scale e-commerce. He has had the opportunity to contribute to prestigious headless e-commerce projects, including PittaRosso, Police, and GCDS. His career at Byte-Code has given him the opportunity to hone his high-level technical skills and combine them with his innate passion for marketing. This synergy has propelled him into the world of MarTech, making him always ready to explore innovative solutions and push the boundaries of traditional marketing.

Who is Gianmarco Guidi

Gianmarco Guidi went from managing King Attitude’s e-commerce to optimizing campaigns for dozens of retailers. A Google Ads Specialist in the Byte-Code/Retail Advantage team, his vertical expertise in Shopping and PMax comes from direct experience: he knows what it takes to scale because he’s done it. He combines merchandising, catalog management, and performance marketing skills in an integrated MarTech approach. The advantage? He optimizes with real margins in mind, not just ROAS.

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