How to Optimize E-Commerce Conversions With Pathing Utils and FullStory Data Export скачать в хорошем качестве

How to Optimize E-Commerce Conversions With Pathing Utils and FullStory Data Export

FullStory Data Scientist, Greg Larchev, and Solutions Engineer, Patrick Brandt, demonstrate how to use Pathing Utils to apply pathing analysis to data from FullStory Data Export. For e-commerce managers pathing analysis is critical for understanding the steps your users take to either convert or falloff. It can also be applied to situations beyond e-commerce. In fact, we recently used pathing analysis to improve the digital experience on our engineering jobs page. In this video, Greg and Patrick demonstrate how you can use Pathing Utils to dial-in on e-commerce conversions and will: • Give you an overview of Pathing Utils and FullStory Data Export. • Use a Jupyter notebook to walk you through how to use pathing analysis with e-commerce data from OodaTime.com. • Discuss how user journeys can be further analyzed with Session Replay to find revenue-impacting points of friction. You can find Greg’s Jupyter notebook and supporting Python packages on the FullStory GitHub: https://github.com/fullstorydev/pathi... #eCommerce #CRO #Conversions