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What is Customer Analytics

Encyclopedia of Data Science and Machine Learning
Customer analytics drills into the trail of data generated from every interaction with customer to draw a wider and clearer picture of this interaction, enlisting everything from their product choices, preferences, reasons for purchase and need for interaction with the firm.
Published in Chapter:
Customer Analytics: Deep Dive Into Customer Data
Shivinder Nijjer (Chitkara University, India), Devesh Bathla (Chitkara University, India), Sandhir Sharma (Chitkara Business School, Chitkara University, India), and Sahil Raj (Punjabi University, India)
Copyright: © 2023 |Pages: 16
DOI: 10.4018/978-1-7998-9220-5.ch063
Abstract
Firms all across the world have been investing substantially in data analytics, and analysts predict a 60% increase in investment in customer analytics by the year 2023. The function of marketing has always grappled with gaining complete attention of customers and keeping away the competition. For this, the firms have been consistently redesigning their strategies and introducing new techniques to enhance customer centricity. Digital era and emergence of artificial intelligence (AI) and machine learning (ML) are enabling marketeers to reach their ultimate goal of generating individualized or personalized recommendations. With unconventional data sources at hand and equally unconventional tools to analyse these streams of data, customer experience enhancement knows no bounds. Therefore, considering the novelty and significance of customer analytics, this article sheds light on sources of customer data, tools for customer analytics, and implications and benefits of customer analytics.
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More Results
Customer Analytics Using Sentiment Analysis and Net Promoter Score
Is a process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics.
Full Text Chapter Download: US $37.50 Add to Cart
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