You have been provided with a dataset containing 5 years of customer behavior data for a global e-commerce company. The data includes purchase history, browsing patterns, geographic location, device information, and seasonal variations. Perform a comprehensive analysis to: 1) Identify key customer segments using clustering techniques, 2) Determine significant factors affecting purchase decisions using regression analysis, 3) Predict future trends based on the historical data, 4) Provide actionable recommendations to increase customer retention and lifetime value. Explain your methodology and justify your analytical choices.