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Revenue forecasting techniques can be limited by several factors, including data quality and availability, reliance on historical trends that may not account for changing market conditions, and subjective assumptions that can introduce bias. Additionally, external factors such as economic fluctuations, regulatory changes, and competitive dynamics can significantly impact accuracy. Moreover, forecasting models may struggle to capture the complexities of consumer behavior, leading to potential overestimations or underestimations of revenue.

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