Deep Learning for Big Data in Predicting Customer Lifetime Value
Lokesh Kumar Arya Kumar Arya
Paper Contents
Abstract
The research explores the application of Big Data and Deep Learning techniques to accurately predict Customer Lifetime Value (CLV) in various industries. By leveraging vast datasets from customer transactions, interactions, demographics, and online behavior, businesses can make informed decisions about customer retention, acquisition, and marketing strategies. The paper discusses different machine learning and deep learning models that can be employed for CLV prediction and highlights the advantages of using neural networks, particularly in handling large-scale, unstructured data.
Copyright
Copyright © 2024 Lokesh Kumar Arya. This is an open access article distributed under the Creative Commons Attribution License.