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How would you a go about predicting a customer LTV?

Data Scientist

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Behavioral

How would you a go about predicting a customer LTV?
How do you approach forecasting a customer's LTV?
Walk me through the steps you take to estimate a customer's long-term value to a business.
What factors do you consider when predicting a customer's lifetime value?
Could you give an example of a successful customer LTV prediction you have made in the past?
Describe a scenario where your LTV prediction was inaccurate. How did you adjust your approach for future predictions?
What tools or techniques do you use to calculate a customer's lifetime value?
When making LTV predictions, how do you account for changes in a customer's behavior or spending habits over time?
How do you ensure the accuracy of your LTV forecasts? Are there any methods you use to validate your predictions?
Can you discuss the importance of understanding a customer's lifetime value for a business?
Can you explain your methodology for predicting a customer's lifetime value?

Interview question asked to Data Scientists interviewing at Adobe, Bill.com, Yext and others: How would you a go about predicting a customer LTV?.