an email response application by Extreme Messaging
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category
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example message
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Hard bounce
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Mailbox does not exist.
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Soft bounce
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Host unknown |
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Mailbox full |
User mailbox exceeds allowed size |
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Out of office reply
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J. Doe is on vacation until May 5.
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Network invitation |
John Smith has asked you to be his friend on SomeNetwork |
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Unsubscribe request
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Please remove me from the mailing list.
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Subscribe request
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Please subscribe me to the mailing list.
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Mail blocks
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Sender rejected
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Challenge response |
Please click the link below to verify you are human |
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Feedback Loop |
The user has marked your message as spam |
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Message restriction |
Message exceeds limit of 16,000 characters.
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Redirect |
User has moved; please try jdoe@example.com.
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Delivery status
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Message still undelivered after 24 hours; will try for another 72 hours.
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User reply |
I'd like to buy 5 widgets.
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Read receipt |
User has read the message.
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Virus |
Executable attachments |
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Multiple algorithms enable ResponseMaster to extract even hard-to-identify
subscriber addresses.
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Log to a flat file
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Log to a database |
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Forward the message
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Move the message to a subfolder of the mailbox being processed
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Move the message to a different mailbox
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Write to a RFC822-format file |
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Make an HTTP request |
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Call a custom component
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Extreme Messaging constantly tracks changes in mail servers and updates the
categorization rules accordingly.
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ResponseMaster automatically updates the rules when they change, without
intervention on your part.
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Unsubscribe addresses that have Hard Bounces as soon as ResponseMaster
identifies them.
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Conserve email server use. Some types of failed messages use 10 times more mail
server time than successful messages. (Incorrect domain names use the most
server time before they fail.)
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By removing bad addresses, you automatically improve your response rates.
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Customer service staff can respond to user questions and requests, missing
none.
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You can stop sending "probes," which many users view as spam.
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Detect blacklisting immediately by having ResponseMaster alert you to email
blocks.
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Prevent blacklisting by sending fewer undeliverable messages.
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Detect other delivery system problems by watching trends in the percentage of
undeliverable messages.
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