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.
pythonedaarimastatsmodelsforecasting-modelsctr-predictionctrtime-series-analysisbusiness-analyticsmarketing-analyticstime-series-forecastingperformance-marketingsarimatime-series-analysis-and-forecastingtime-series-analysis-and-arima-modelanalytics-projectctr-analysis
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Updated
Dec 20, 2025 - Jupyter Notebook