LIST HYGIENE TOOL

• US 20140358939A1
• Filed: 05/31/2013
• Published: 12/04/2014
• Est. Priority Date: 05/31/2013
• Status: Abandoned Application

• Current Assignee: Smartfocus Holdings Limited
• Original Assignee: Emailvision Holdings Limited
• Inventors: Simon, Jean-Yves, Wells, Charles
• Application Number:
  US13/907,501
• Publication Number:
  US 20140358939A1
• Time in Patent Office: Days
• US Class Current: 707/748
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities
• CPC Class Codes: G06Q 10/107 Computer-aided management of electronic mailing [e-mailing]
• CPC Class Codes: G06Q 30/0277 Online advertisement

Abstract

A computer-implemented method of assessing the veracity of a list of email addresses for use with an e-mail messaging campaign is described. The method comprises: receiving the list of email addresses; categorizing and marking any email addresses from the received list of email addresses which are considered to have predetermined email address problems; each marked email address being assigned a category of problem; associating each marked email address with a score, wherein the score is dependent on the severity of risk associated with the assigned category; calculating a cumulative score of all of the marked email addresses; and determining, in view of the cumulative score of the marked email addresses, whether the list of email addresses is safe for use for the email messaging campaign.

Claims

1. A computer-implemented method of assessing the veracity of a list of email addresses for use with an e-mail messaging campaign, the method comprising:

receiving the list of email addresses;

categorizing and marking any email addresses from the received list of email addresses which are considered to have predetermined email address problems;

each marked email address being assigned a category of problem;

associating each marked email address with a score, wherein the score is dependent on the severity of risk associated with the assigned category;

calculating a cumulative score of all of the marked email addresses; and

determining, in view of the cumulative score of the marked email addresses, whether the list of email addresses is safe for use for the email messaging campaign.

2. The method of claim 1, wherein the receiving step comprises uploading a large list of email addresses.

3. The method of claim 1, wherein the categorizing and marking step comprises selecting an analysis group of email addresses from a plurality of email addresses provided in the list of email addresses.

4. The method of claim 3, wherein the selecting step comprises selecting a subset of the email addresses provided in the list of email addresses.

5. The method of claim 4, further comprising ordering the selected analysis group of email addresses into alphabetical order.

6. The method of claim 3, wherein the categorizing and marking step comprises comparing a composition of each email in the selected analysis group against one or more composition patterns associated with a risky email address and marking the email if the composition of the email address matches a known risky composition pattern.

7. The method of claim 6, wherein the comparing step comprises using a plurality of different risky pattern detection filters.

8. The method of claim 7, wherein the using step comprises selecting at least one of the risky pattern detection filters from the group comprising:

a spammy pattern detection filter;

a spam trap address filter;

a malicious email address filter;

a sender'"'"'s own spam trap filter;

a non-legitimate email address filter;

an ISP complaints from feedback loop filter;

a harvested-by-spammers filter;

an unsubscribe list filter;

an international suppression list filter and a risky historical behaviour filter.

9. The method of claim 7, wherein each filter comprises a pattern list of email address patterns and the comparing step comprises comparing each email address of the selected analysis group against the email address patterns of the pattern list for an exact match.

10. The method of claim 9, wherein the email address patterns of the pattern list are stored in alphabetical order and the email addresses of the analysis group are stored in alphabetical order and the method further comprises comparing an email address of the analysis group from a start pointer within the pattern list until an end email address pattern is reached which is beyond the alphabetical value of the email address being compared.

11. The method of claim 10, further comprising moving the start pointer of the pattern list to the email address pattern preceding the end email address pattern and repeating the comparing step for the next email address of the analysis group.

12. The method of claim 1, wherein the analysis group has a current email address pointer and the method further comprises incrementing the position of the current email address pointer to point to the current email address in the analysis group being considered.

13. The method of claim 1, wherein the categorizing and marking step further comprises checking each email address in the analysis group for syntax errors.

14. The method of claim 13, wherein the checking step comprises checking each email address of the analysis group for common or obvious errors in the email addresses by comparing the email address against a predetermined list of common and obvious syntactical errors.

15. The method of claim 1, wherein the associating step comprises providing for each category of problem, a corresponding predetermined score, and assigning the corresponding score to each marked email address associated with a predetermined email address problem.

16. The method of claim 15, wherein the associating step comprises assigning for each category of problem that applies to a marked email address the corresponding predetermined score and storing a cumulative score of all of the applicable predetermined scores.

17. The method of claim 15, wherein the providing step comprises providing a score from a group of scores comprising low, medium and high scores.

18. The method of claim 1, wherein the associating step comprises determining whether the marked email address has one of the problems of the group comprising:

a spam trap address;

a spammy domain;

a role abuse address;

a non-existing ISP address;

an ISP RCE restricted address;

a spammy pattern address;

a role marketing address and a fake MX domain address.

19. The method of claim 1, wherein the associating step comprises providing a subset of the categories of problem with a quarantine flag indicating that the email address should not be used currently in the email messaging campaign and the assigning step comprises assigning the quarantine flag if marked email address relates to a category of problem from the subset.

20. The method of claim 1, further comprising generating a report regarding the email addresses in the list and the associated scores applied to the marked email addresses and sending the report to a known client address associated with the email messaging campaign.

21. The method of claim 1, wherein the determining step comprises assessing whether the cumulative score of the email address list is within a high or medium score range and if the cumulative score is within the medium or high range, rejecting the entire email address list as unsafe to use for the email messaging campaign.

22. The method of claim 1, further comprising generating a report regarding the email addresses in the list and the associated scores applied to the marked email address and sending the report and the list back to a known client address associated with the email messaging campaign.

23. The method of claim 1, wherein the determining step comprises assessing whether the cumulative score of the email address list is within a high or medium score range and if the cumulative score is not within the medium or high range, accepting the entire email address list as safe to use for the email messaging campaign.

24. The method of claim 19, wherein the determining step comprises assessing whether the cumulative score of the email address list is within a high or medium score range and if the cumulative score is not within the medium or high range, accepting the entire email address list as safe to use for the email messaging campaign except for any quarantined email addresses having a quarantine flag assigned.

25. The method of claim 1, further comprising updating a blacklist of email addresses.

26. The method of claim 1, further comprising assigning an upload identifier to each instance of a received list, assigning a client identifier to identify the owner of the email address list and assigning a campaign identifier to identify each email messaging campaign to which the list belongs.

27. The method of claim 26, further comprising using the identifiers to determine if a current email address list for the same client and the same campaign is received in the receiving step which has a different upload identifier and for this current list calculating differences between the email addresses of the current list and a previous email address list for the same client and campaign.

28. The method of claim 27, wherein the categorizing and marking step comprises selecting an analysis group of email addresses as the differences determined in the using step.

29. A system for assessing the veracity of a list of email addresses for use with an e-mail messaging campaign, the system comprising:

an upload module for receiving the list of email addresses;

a categorizing module for categorizing and marking any email addresses from the received list of email addresses which are considered to have predetermined email address problems;

each marked email address being assigned a category of problem;

a risk assessment module for associating each marked email address with a score, wherein the score is dependent on the severity of risk associated with the assigned category;

a scoring engine for calculating a cumulative score of all of the marked email addresses; and

a processor for determining, in view of the cumulative score of the marked email addresses, whether the list of email addresses is safe for use for the email messaging campaign.