Shrikanth Singh
I am a Data Scientist at Sixt SE, where I specialize in marketing technology projects designed to optimize campaign return on ad spend (ROAS), identify high-value customers, and predict churn. With four years of professional experience in the field, I leverage advanced analytical techniques to drive data-informed decision-making and enhance marketing strategies. I hold a degree in Computer Science from the University of Passau, with a particular focus on applying transfer learning methodologies to the LegalTech sector. My interdisciplinary background equips me with a unique perspective on integrating data science principles into diverse business contexts.
Sessions
The paid search landscape is undergoing a remarkable transformation, evolving from traditional keyword-centric strategies to a more nuanced approach that prioritizes audience targeting. This shift is not just a trend; it’s a response to the ever-increasing demand for precision and effectiveness in reaching potential customers in a crowded digital marketplace.
At the forefront of this evolution is our innovative automated system designed to identify high-intent users through sophisticated batch processing of their website behaviour. By harnessing the power of machine learning, we create a dynamic layer that curates smarter audiences those that closely resemble our most valuable converted customers. This enables us to execute precise retargeting campaigns that not only drive meaningful engagement but also optimize marketing budgets, resulting in enhanced audience selection and significantly higher conversion rates.