Compare two lists and remove data from the first that exists in the second in order to prevent overlapping data.
Pieces of data may exist in multiple places leading to duplicates when you bring everything together. This gets particularly messy when the entries are slightly different but still refer to the same lead contact etc.
Use a “List Contains” object to filter out rows that exist across multiple data sets. The “fuzzy” matching option enables you to select a match confidence threshold to help with entries that have only minor differences as described above.