The quality of your data significantly affects the accuracy of your predictions. Inaccurate, outdated, or incomplete data can lead to erroneous predictions, which in turn can result in ineffective email campaigns. Ensuring that your data is clean, up-to-date, and comprehensive is essential for making reliable predictions. Implementing regular data hygiene practices and using data validation tools can help improve the quality of your data.