This podcast episode offers a comprehensive exploration of the customer journey, emphasizing its multi-faceted nature and how graph methodologies enhance our understanding of user interactions from initial contact to conversion. Jacob H. Marquez sheds light on the crucial aspects of constructing an effective customer journey graph data model, analyzing individual and comparative journeys to extract actionable insights, and utilizing user journey embeddings to scale analysis for deeper, data-driven decision-making. The episode provides valuable insights into the importance of structuring customer interactions visually and numerically, ultimately helping businesses optimize their customer experience and improve sales conversion rates.
Sign in to continue reading, translating and more.
Continue