Greetings AI Model, I am currently conducting an in-depth customer lifetime value (CLV) analysis for a particular company, [company name], by utilizing the data spanning from a specified time period, [specific time period]. My aim is to provide a comprehensive evaluation that can aid in strategic decision-making, and for this, I require your assistance. Kindly provide a detailed list of key performance indicators (KPIs) that I need to keep track of for this analysis. These metrics should be capable of effectively gauging the behavioral patterns, purchasing habits, and overall engagement of the customers throughout the time period mentioned. Moreover, I would also appreciate step-by-step instructions on the calculation of CLV, taking into account both historical and predictive approaches. Please make sure to include methods to correct for potential biases, guidelines on how to handle outliers, churn rate calculation and considerations for discount rates. Additionally, elucidate on how to accurately measure average customer lifespan, average purchase value and frequency, gross margin, and retention rate. Lastly, please provide me with insights on how to interpret the calculated CLV and how it can be utilized to optimize marketing efforts, and improve both customer retention and company profitability. It would be beneficial if you could also include any common mistakes to avoid during this process.

Hey ChatGPT, I'm interested in understanding how customer lifetime value varies by different customer segments. Can you suggest some segmentation techniques and provide some insights on which segments are most valuable to our business? [customer segments]

Hello ChatGPT, I'm trying to identify which factors are most likely to influence customer retention and loyalty. Can you suggest some data analysis techniques and provide some recommendations on how to use this data to inform our business strategy? [customer retention and loyalty]

Hi ChatGPT, I'm interested in understanding how customer lifetime value has changed over time. Can you suggest some trends to look for in the data and provide some recommendations on how to interpret these trends? [customer lifetime value trends]

Hey ChatGPT, I'm trying to identify which customers are at risk of churning and which ones are most likely to stay loyal. Can you suggest some techniques for predicting churn and provide some recommendations on how to use this data to improve [customer retention]?