The Surge in E-Commerce Analytics: Optimizing Online Sales Funnels

Author(s)	Divya Chockalingam
Country	United States
Abstract	The rapid growth of e-commerce has led to an increasing reliance on advanced data analytics to optimize sales funnels. This research investigates the surge in e-commerce analytics and its impact on improving the performance of online sales funnels. By analyzing user behavior, conversion rates, and other key metrics, businesses are able to make data-driven decisions that enhance customer experience and maximize revenue. The paper explores various analytics tools, techniques, and strategies used to streamline e-commerce sales processes, as well as the future trends that could further refine these approaches.
Keywords	E-Commerce Analytics, Sales Funnel, Conversion Rate Optimization, Customer Behavior, Data-Driven Decisions, Online Marketing, Digital Analytics, Business Intelligence, Customer Journey
Field	Engineering
Published In	Volume 1, Issue 1, September 2020
Published On	2020-09-08
Cite This	The Surge in E-Commerce Analytics: Optimizing Online Sales Funnels - Divya Chockalingam - IJLRP Volume 1, Issue 1, September 2020. DOI 10.5281/zenodo.15051223
DOI	https://doi.org/10.5281/zenodo.15051223
Short DOI	https://doi.org/g88z2w

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