Generate a detailed demand forecast using advanced time series methods, identifying trends and seasonality.
Task: generate a summary of a video. Input: [video title], [video transcript], [length of summary: e.g., 100 words, 200 words] Instruction: summarize the video transcript, focusing on the main topics and key takeaways. The summary should be concise and informative, providing a clear overview of the video's content. Adhere to the specified length constraint.
Outline a robust methodology for forecasting the performance of future marketing campaigns, including data requirements, model selection, and risk assessment.
Generate a detailed plan for feature engineering on time series data, including lag features, rolling statistics, and temporal indicators to enhance predictive models.
Identify and explain the key behavioral and demographic drivers that significantly impact customer lifetime value (CLTV) from provided data.
