This repository demonstrates an end-to-end CTR time-series forecasting pipeline using SARIMA model. It analyzes daily advertising performance to uncover trend, weekly seasonality, and engagement patterns, and delivers 30-day forecasts to support budgeting, pacing, and marketing decision-making.
python eda arima statsmodels forecasting-models ctr-prediction ctr time-series-analysis business-analytics marketing-analytics time-series-forecasting performance-marketing sarima time-series-analysis-and-forecasting time-series-analysis-and-arima-model analytics-project ctr-analysis
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Updated
Dec 20, 2025 - Jupyter Notebook