Page Comparison

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1. Moving to MailUp the recipients list taken from a file provided by the customer and importing it to a MailUp list
2. Extracting from MailUp a list of unsubscribes and saving it in a file stored in a repository shared with the customer
3. Extracting from MailUp statistics down to the user and to the message level (opens and clicks) and saving them in a file stored in a repository shared with the customer
4. Extracting the data at (2) and (3) in a single file
5. Extracting statistics on SMS (text messages) delivery and saving them in a file stored in a repository shared with the customer
6. Extracting a list of subscribers in MailUp and saving it in a file stored in a repository shared with the customer

An axampleexample:

• every day at 4 am, the customer's system exports a .csv file containing the latest update for the recipients' personal data, to be moved to MailUp. 
• At 4:30 am MailUp accesses the file via FTP protocol and imports its content to a predefined list. 
• The columns in the CSV file match MailUp's personal data fields, so that they can update the MailUp database. 
• At 5 am a procedure extracts unsubscribers and statistics and saves them in separate files stored in a repository shared with the customer

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