EVALUATING EMAIL ACTIVITY

1 . A method, comprising:

identifying a first email transmitted, by a first email account associated with a first entity, to a plurality of email accounts;

detecting first activity, performed using email accounts of the plurality of email accounts, associated with the first email, wherein the first activity comprises at least two of the first email being forwarded, the first email being deleted, the first email being marked as spam, the first email being marked as desirable, a first social media post, comprising content related to the first email, being posted, or a first query, associated with content of the first email, being used to perform a first search;

analyzing the first activity to generate a first set of activity information corresponding to the first activity;

storing the first set of activity information in an entity profile associated with the first entity, wherein:

the entity profile comprises a plurality of sets of activity information associated with a plurality of emails transmitted by one or more email accounts associated with the first entity;

the plurality of sets of activity information comprises the first set of activity information;

the plurality of emails comprises the first email; and

each set of activity information of the plurality of sets of activity information corresponds to activity associated with an email of the plurality of emails;

generating a quality score, corresponding to the first entity, based upon the entity profile associated with the first entity and indicative of the plurality of sets of activity information comprising the first set of activity information corresponding to the first activity performed using the email accounts to which the first email was transmitted;

comparing (i) the quality score generated based upon the entity profile associated with the first entity to (ii) a threshold quality score; and

responsive to determining that the quality score is less than the threshold quality score, generating and transmitting instructions for creating quality messages to at least one of an account associated with the first entity or a first client device associated with the first entity.

2 . The method of claim 1 , comprising:

analyzing content of the plurality of emails, wherein the generating the quality score is performed based upon the content of the plurality of emails.

3 . The method of claim 1 , wherein:

the analyzing the first activity comprises determining a click through rate (CTR) associated with the first email;

the first set of activity information is indicative of the CTR; and

the generating the quality score is performed based upon a plurality of CTRs, comprising the CTR, associated with the plurality of sets of activity information.

4 . The method of claim 1 , wherein:

the analyzing the first activity comprises determining a click-to-open rate associated with the first email;

the first set of activity information is indicative of the click-to-open rate; and

the generating the quality score is performed based upon a plurality of click-to-open rates, comprising the click-to-open rate, associated with the plurality of sets of activity information.

5 . The method of claim 1 , wherein:

the analyzing the first activity comprises determining an open rate associated with the first email;

the first set of activity information is indicative of the open rate; and

the generating the quality score is performed based upon a plurality of open rates, comprising the open rate, associated with the plurality of sets of activity information.

6 . The method of claim 1 , comprising:

receiving, from one or more email accounts of the plurality of email accounts, one or more messages indicative of the first email being marked spam; and

determining a spam rate associated with the first email based upon the one or more messages, wherein:

the first set of activity information is indicative of the spam rate; and

the generating the quality score is performed based upon a plurality of spam rates, comprising the spam rate, associated with the plurality of sets of activity information.

7 . The method of claim 1 , wherein the analyzing the first activity comprises determining time-lengths that the first email is displayed using client devices associated with email accounts of the plurality of email accounts, the method comprising:

generating a measure of displaying activity based upon the time-lengths, wherein:

the first set of activity information is indicative of the measure of displaying activity; and

the generating the quality score is performed based upon a plurality of measures of displaying activity, comprising the measure of displaying activity, associated with the plurality of sets of activity information.

8 . The method of claim 1 , comprising:

determining a first advertisement revenue received in association with advertisements being displayed on client devices, associated with email accounts of the plurality of email accounts, in association with the first email; and

storing the first advertisement revenue in the entity profile, wherein:

the entity profile comprises a plurality of advertisement revenues associated with the plurality of emails;

the plurality of advertisement revenues comprises the first advertisement revenue;

each advertisement revenue of the plurality of advertisement revenues is received in association with an email of the plurality of emails; and

the generating the quality score is performed based upon the plurality of advertisement revenues.

9 . The method of claim 1 , wherein:

the first activity comprises the first social media post, comprising content related to the first email, being posted; and

the first social media post being posted impacts the quality score positively.

10 . The method of claim 1 , wherein:

the first activity comprises the first query, associated with content of the first email, being used to perform the first search; and

the query being used to perform the search impacts the quality score positively.

11 . A computing device comprising:

a processor; and

memory comprising processor-executable instructions that when executed by the processor cause performance of operations, the operations comprising:

identifying a first email transmitted, by a first email account associated with a first entity, to a plurality of email accounts;

detecting first activity, performed using email accounts of the plurality of email accounts, associated with the first email, wherein the first activity comprises at least two of the first email being forwarded, the first email being deleted, the first email being marked as spam, the first email being marked as desirable, a first social media post, comprising content related to the first email, being posted, or a first query, associated with content of the first email, being used to perform a first search;

analyzing the first activity to generate a first set of activity information corresponding to the first activity;

storing the first set of activity information in an entity profile associated with the first entity, wherein:

the entity profile comprises a plurality of sets of activity information associated with a plurality of emails transmitted by one or more email accounts associated with the first entity;

the plurality of sets of activity information comprises the first set of activity information;

the plurality of emails comprises the first email; and

each set of activity information of the plurality of sets of activity information corresponds to activity associated with an email of the plurality of emails;

generating a quality score, corresponding to the first entity, based upon the entity profile associated with the first entity and indicative of the plurality of sets of activity information comprising the first set of activity information corresponding to the first activity performed using the email accounts to which the first email was transmitted;

comparing (i) the quality score generated based upon the entity profile associated with the first entity to (ii) a threshold quality score; and

responsive to determining that the quality score is less than the threshold quality score, transmitting a notification to a first client device indicative of the quality score being less than the threshold quality score.

12 . The computing device of claim 11 , the operations comprising:

analyzing content of the plurality of emails, wherein the generating the quality score is performed based upon the content of the plurality of emails.

13 . The computing device of claim 11 , the operations comprising:

receiving, from one or more email accounts of the plurality of email accounts, one or more messages indicative of the first email being marked spam.

14 . The computing device of claim 13 , the operations comprising:

determining a spam rate associated with the first email based upon the one or more messages, wherein:

the first set of activity information is indicative of the spam rate; and

the generating the quality score is performed based upon a plurality of spam rates, comprising the spam rate, associated with the plurality of sets of activity information.

15 . A non-transitory machine readable medium having stored thereon processor-executable instructions that when executed cause performance of operations, the operations comprising:

identifying a first email transmitted, by a first email account associated with a first entity, to a plurality of email accounts;

detecting first activity, performed using email accounts of the plurality of email accounts, associated with the first email, wherein the first activity comprises at least two of the first email being forwarded, the first email being deleted, the first email being marked as spam, the first email being marked as desirable, a first social media post, comprising content related to the first email, being posted, or a first query, associated with content of the first email, being used to perform a first search;

analyzing the first activity to generate a first set of activity information corresponding to the first activity;

storing the first set of activity information in an entity profile associated with the first entity, wherein:

the entity profile comprises a plurality of sets of activity information associated with a plurality of emails transmitted by one or more email accounts associated with the first entity;

the plurality of sets of activity information comprises the first set of activity information;

the plurality of emails comprises the first email; and

each set of activity information of the plurality of sets of activity information corresponds to activity associated with an email of the plurality of emails;

generating a quality score, corresponding to the first entity, based upon the entity profile associated with the first entity and indicative of the plurality of sets of activity information comprising the first set of activity information corresponding to the first activity performed using the email accounts to which the first email was transmitted;

comparing (i) the quality score generated based upon the entity profile associated with the first entity to (ii) a threshold quality score; and

responsive to determining that the quality score is less than the threshold quality score, suspending the first entity from one or more services for a duration of time.

16 . The non-transitory machine readable medium of claim 15 , wherein:

the analyzing the first activity comprises determining a click through rate (CTR) associated with the first email;

the first set of activity information is indicative of the CTR; and

the generating the quality score is performed based upon a plurality of CTRs, comprising the CTR, associated with the plurality of sets of activity information.

17 . The non-transitory machine readable medium of claim 15 , wherein:

the analyzing the first activity comprises determining a click-to-open rate associated with the first email;

the first set of activity information is indicative of the click-to-open rate; and

the generating the quality score is performed based upon a plurality of click-to-open rates, comprising the click-to-open rate, associated with the plurality of sets of activity information.

18 . The non-transitory machine readable medium of claim 15 , wherein:

the analyzing the first activity comprises determining an open rate associated with the first email;

the first set of activity information is indicative of the open rate; and

the generating the quality score is performed based upon a plurality of open rates, comprising the open rate, associated with the plurality of sets of activity information.

19 . The non-transitory machine readable medium of claim 15 , the operations comprising:

receiving, from one or more email accounts of the plurality of email accounts, one or more messages indicative of the first email being marked spam; and

determining a spam rate associated with the first email based upon the one or more messages, wherein:

the first set of activity information is indicative of the spam rate; and

the generating the quality score is performed based upon a plurality of spam rates, comprising the spam rate, associated with the plurality of sets of activity information.

20 . The non-transitory machine readable medium of claim 15 , wherein the analyzing the first activity comprises determining time-lengths that the first email is displayed using client devices associated with email accounts of the plurality of email accounts, the operations comprising:

generating a measure of displaying activity based upon the time-lengths, wherein:

the first set of activity information is indicative of the measure of displaying activity; and

the generating the quality score is performed based upon a plurality of measures of displaying activity, comprising the measure of displaying activity, associated with the plurality of sets of activity information.