Optimove
Shiri Hornick is a Marketing Data Analyst at Optimove since August 2022. Previously, Shiri served as the Data and Customer Integration Manager at medflyt from March 2022 to July 2022, where responsibilities included translating customer data requirements and optimizing data import workflows. Prior to that, Shiri worked as a researcher in the Cognition and Language Learning Lab at Tel Aviv University from 2018 to 2021, focusing on in-depth research involving fMRI and behavioral experiments related to the brain-language interface, utilizing MATLAB for data analysis. Shiri holds a Master of Science degree in Neuroscience from the Sagol School of Neuroscience at Tel Aviv University, obtained in 2021, and a Bachelor of Science degree in Neuroscience from the same institution, earned in 2018.
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Optimove
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Optimove is a privately held company that develops and markets a Relationship Marketing software as a service. Optimove’s Relationship Marketing Hub leverages AI to foster emotionally intelligent communications that maximize the value of every customer. Our mission is to help marketers drive measurable growth by autonomously transforming customer data into actionable insights, which then power thoughtful customer communications, at scale. Optimove is used by customer marketers and retention experts at more than 500 customer-centric businesses. Using Optimove, these marketers gain a deep understanding of their customers’ behavior and automate the delivery of highly relevant communications for everyone – no customer left behind! Optimove’s Science-First Relationship Marketing Hub implements a science-driven approach to planning, automating and optimizing a complete, hyper-personalized relationship marketing plan. By combining predictive customer analytics, AI optimization technologies and a multi-channel campaign execution engine, Optimove helps marketers deliver the right message via the right channel to every customer, every time. The result is happier, more loyal customers and significant increases in customer spend, engagement, retention and lifetime value.