The findings of this study on real-time customer event prediction have implications beyond SaaS products in various industries. The ability to model clickstream data for predicting customer events such as churn detection or task abandonment has broad applications across different sectors:
Retail: In e-commerce platforms, understanding customer behavior in real-time can help predict purchase decisions, cart abandonment rates, and personalize product recommendations.
Finance: Banks and financial institutions can use similar models to predict account closures, identify fraudulent activities early on, and offer personalized financial services based on customer needs.
Telecommunications: Telecom companies can leverage clickstream modeling to anticipate subscriber churn rates, optimize service offerings based on usage patterns, and enhance customer retention strategies.
Healthcare: Healthcare providers could utilize real-time event prediction models to foresee patient disengagement with treatment plans or appointments scheduling optimization based on patient interaction history.
By applying advanced clickstream modeling techniques like BBE-LSWCM across industries beyond SaaS products, organizations can improve customer experience management strategies through proactive interventions tailored to individual preferences and behaviors.