Data normalization involves several steps, including:
Standardizing Formats: Ensuring that data entries follow a uniform format. For example, dates should follow the same format across all records. Removing Duplicates: Identifying and eliminating duplicate records to ensure each subscriber is unique. Correcting Inconsistencies: Fixing data that is incorrect or inconsistent. For example, standardizing how states or countries are recorded. Segmentation: Dividing your email list into smaller, more targeted segments based on normalized data.