SYSTEM AND METHOD FOR PROVIDING ACTIONABLE RECOMENDATIONS TO IMPROVE ELECTRONIC MAIL INBOX PLACEMENT AND ENGAGEMENT

• US 20140280624A1
• Filed: 03/15/2013
• Published: 09/18/2014
• Est. Priority Date: 03/15/2013
• Status: Abandoned Application

• Current Assignee: Return Path Incorporated (Validity Holdings, Inc.)
• Original Assignee: Return Path Incorporated (Validity Holdings, Inc.)
• Inventors: BILBREY, George M., DILLINGHAM, Jeremy K., BARCLAY, Robert B.
• Application Number:
  US13/835,872
• Publication Number:
  US 20140280624A1
• Time in Patent Office: Days
• US Class Current: 709/206
• CPC Class Codes: H04L 12/1859 adapted to provide push services, e.g. data channels
• CPC Class Codes: H04L 51/42 Mailbox-related aspects, e.g. synchronisation of mailboxes

Abstract

A system and method for analyzing data obtained from distinct sources to provide email senders with specific actionable recommendations that can be used to improve the inbox placement of the email messages they send, as well as recipients'"'"' level of engagement with those email messages.

Claims

1. A method for improving the inbox placement of an email campaign, the method comprising the steps of:

analyzing one or more values associated with an email message, wherein each value corresponds to an attribute of the message that may affect inbox placement of the message; and

generating an actionable recommendation for improving the inbox placement of the message based on the one or more values.

2. The method of claim 1 further comprising the step of:

prior to analyzing the one or more values, receiving at least one of the one or more values from a seed database.

3. The method of claim 1 further comprising the step of:

prior to analyzing the one or more values, receiving at least one of the one or more values from a subscriber database.

4. The method of claim 1 further comprising the step of:

prior to analyzing the one or more values, receiving at least one of the one or more values from a data feed database.

5. The method of claim 1 further comprising the steps of:

prior to analyzing the one or more values, receiving at least one of the one or more values from a seed database, receiving at least one of the one or more values from a subscriber database, and receiving at least one of the one or more values from a data feed database.

6. The method of claim 1 further comprising the step of monitoring the inbox placement of email messages sent in connection with the campaign.

7. The method of claim 6 further comprising the step of displaying inbox placement data to a user.

8. The method of claim 1 further comprising the step of displaying the actionable recommendation to a user.

9. The method of claim 1 further comprising the step of determining a message type of the email message,

wherein the actionable recommendation relates to said message type.

10. The method of claim 1 further comprising the step of determining a frequency with which a sender of the email message sends email messages,

wherein the actionable recommendation relates to changing said frequency.

11. The method of claim 1 further comprising the step of determining whether a sender of the email message sends email messages to one or more targeted groups of recipients,

wherein the actionable recommendation relates to sending email messages to one or more targeted groups of recipients.

12. The method of claim 1, wherein at least one of the one or more values relates to the presence of a word or a punctuation mark in a subject line of the email message,

wherein the word or punctuation mark has been determined to be correlated with spam folder placement, and

wherein the actionable recommendation relates to said word or punctuation mark.

13. The method of claim 12 further comprising the step of determining one or more words or punctuation marks that are correlated with spam folder placement.

14. A method for improving recipient engagement with an email campaign, the method comprising the steps of:

analyzing one or more values associated with an email message, wherein each value corresponds to an attribute of the message that may affect recipient engagement with the message; and

generating an actionable recommendation for improving recipient engagement with the message based on the one or more values.

15. The method of claim 14 further comprising the step of:

prior to analyzing the one or more values, receiving at least one of the one or more values from a seed database.

16. The method of claim 14 further comprising the step of:

prior to analyzing the one or more values, receiving at least one of the one or more values from a subscriber database.

17. The method of claim 14 further comprising the step of:

prior to analyzing the one or more values, receiving at least one of the one or more values from a data feed database.

18. The method of claim 14 further comprising the steps of:

prior to analyzing the one or more values, receiving at least one of the one or more values from a seed database, receiving at least one of the one or more values from a subscriber database, and receiving at least one of the one or more values from a data feed database.

19. The method of claim 14 further comprising the step of monitoring recipient engagement with email messages sent in connection with the campaign.

20. The method of claim 19 further comprising the step of displaying engagement data to a user.

21. The method of claim 14 further comprising the step of displaying the actionable recommendation to a user.

22. The method of claim 14 further comprising the step of determining a message type of the email message,

wherein the actionable recommendation relates to said message type.

23. The method of claim 14 further comprising the step of determining a frequency with which a sender of the email message sends email messages,

wherein the actionable recommendation relates to changing said frequency.

24. The method of claim 14 further comprising the step of determining whether a sender of the email message sends email messages to one or more targeted groups of recipients,

wherein the actionable recommendation relates to sending email messages to one or more targeted groups of recipients.

25. A system for improving the inbox placement or engagement for an email campaign, the system comprising:

a seed database configured to receive and store data related to one or more seed email accounts;

a subscriber database configured to receive and store data related to one or more subscriber email accounts;

a data feed database configured to receive and store data from one or more trusted networks; and

a processor configured to generate recommendations for improving email message inbox placement or engagement.

26. A method comprising the steps of:

analyzing email subscriber data to determine a plurality of email recipients'"'"' general level of engagement with a plurality of email campaigns or email senders;

analyzing the email subscriber data to determine the plurality of email recipients'"'"' specific level of engagement with a specific email campaign or email sender;

comparing the recipients'"'"' general level of engagement with the recipients'"'"' specific level of engagement; and

presenting a value or other metric that indicates a result of the comparison.