Clean Mail Lists: Custom field (column) delimiters.
Clean Mail Lists: The number of output columns. If the source row contains less than the specified number of columns, the list manager will add missing columns (blank). If the source row contains more than the specified number of columns, the list manager will cut extra columns.
Merge E-Mail Lists
Keep Email Duplicates (remove full duplicates only).
Misc. Utilites
Replace blanks with the specified text.
Replace the matched regular expression pattern with the specified text.
You can specify field (column) numbers to modify (add prefix, suffix or replace the text).
New analysis feature called “Correlated Data”. It allows to keep or remove the records where data in one column or more specified columns partially or fully correlates to data in another column.
It is needed to find the records that correlate to column 1 (email) from column 2 (first name) or column 3 (last name). Consider them correlating if 3 characters in a row match. Meaning the same 3 characters or more (in the same order) are anywhere in the email address as contained in either the first name column or the last name column.
The software will take “Andrew” and split it into “and”,”ndr”,”dre”,”rew” and check for each of those in the email address. It will find a match with “dre” and therefore be a KEEP row.
If it were to not find “dre” and “rew” (it would find both) but pretend the email was khouz12345@yahoo.com instead.
Then the software would need to take “Smallhouse” and split it into “sma”, “mal”, “all”, “llh”, “lho”, “hou”, “ous”, “use” and check for those in the email address.
In the case of khouz12345@yahoo.com it would find “hou” and KEEP the record.
If both first and last name failed to find any correlation it would remove the record.
Extract And Clean->Clean Mail Lists: Capitalize First Letters.
This feature allows to capitalize the first letter of each word and lowercase the rest when words are separated by ” ” or “.” or “,” or any of those combined like “, ” “. ” etc.
