The document discusses digital marketing strategies, emphasizing the importance of adaptive forecasting for campaign performance based on historical data. It outlines a systematic approach to gathering data, making assumptions, and calculating projections for cost per acquisition (CPA) and cost per lead (CPL) across various marketing tactics. The author underscores the necessity for authenticity and caution when interpreting and using the forecast data.
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