Data cleanliness is crucial for accurate analytics. Dirty data, such as duplicate records, outdated information, or incorrect email addresses, can skew your metrics and lead to incorrect conclusions. Regularly cleaning your email list by removing inactive or invalid addresses ensures that your data is accurate and reliable. This practice also helps improve your deliverability rates and reduces the risk of your emails being marked as spam.