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Machine learning models can estimate CLV and predict customers' propensity to churn based on their profile and transaction data.

CLV in this context stands for:

A. customer lifetime value
B. customer lifeline value
C. consumer lifetime value
D. customer lifeline value

Answer :

Final answer:

CLV stands for Customer Lifetime Value, which is a metric used to estimate the total revenue a business can expect from a customer over their lifetime. It helps businesses understand customer value and is calculated based on purchase value, frequency, and lifespan. Machine learning can analyze CLV and predict customer churn effectively.


Explanation:

Understanding Customer Lifetime Value (CLV)


In the context of machine learning and customer analysis, CLV stands for Customer Lifetime Value. This metric is essential for businesses as it estimates the total revenue a business can expect from a single customer account throughout the business relationship. A higher CLV indicates that a customer is valuable to the company's long-term success.


CLV is calculated using several factors, including:



  2. Average Purchase Value: The average amount of money a customer spends in a single transaction.

  4. Purchase Frequency: How often a customer makes a purchase in a given time period.

  6. Customer Lifespan: The length of time a customer continues to make purchases from the business.


By analyzing these factors, machine learning models can also predict a customer's propensity to churn, or leave the business, which is crucial for retention strategies.


Learn more about Customer Lifetime Value here:

https://brainly.com/question/34891726


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