Abstract: Systems and methods for determining and sending a preferred of two electronic mail communications or messages (‘emails’) to a group to increase likelihood of its review. Information for conducting a test between two emails, referred to as A email and B email, is collected. The information may identify a particular group, and segments A and B of the group. The information may provide content for the emails and include differentiation information between the emails. Determination information on how to select one of the emails as the preferred email and when to select the preferred email may be collected. The information is used to send the A email to the segment A, to send the B email to the segment B, to determine the preferred email between the A email and the B email, and to send the preferred email to at least a portion of the particular group.

Abstract: Methods and systems to find connections among subscribers to a particular electronic mail (email) newsletter. A list of email addresses to an email campaign is representative of the subscribers to email newsletters that are sent as part of the campaign by a source. A subscriber to a particular email newsletter may receive email newsletter from other sources. A determination is made as to what other email newsletters of each subscribers of the source receive from other sources. The other email newsletters of each subscriber on the list of email addresses of a source are compared to the other subscribers on the list of email addresses. Email newsletters common to subscribers on the list of email addresses are noted. The connections between/among subscribers on the list of email addresses is determined. The weight of a connection may be determined. The connection information may be provided as a service to the source.

Abstract: Methods and systems for predicting a proposed electronic mail (email) for an email campaign to be sent to a list of email addresses received from a sender is spam. A hard bounce rate is predicted for the list of email addresses based on hard bounce rates calculated for respective email addresses on the list. If predicted hard bounce rate exceeds a threshold, the proposed email is deemed spam and sender may be informed. If predicted hard bounce rate falls within range of the threshold, proposed email may be sent to less than all the email addresses on list. If an acceptable number of the sent emails are received, the email may be sent to remaining email addresses on list. Prior to sending proposed email, the list of email addresses may be compared to purchased lists of email addresses. If there is a match, the proposed email may be deemed spam.

Abstract: Methods and systems for sending an email so recipients receive it at a selected time in respective time zones. Information about recipients may determine times zones. Information may include zip code, IP address, or identification of a server or service provider serving a recipient. Information may be based on a recipient's activity such as determination of a time zone in which more emails are received than any other, or having a highest weighted average (based on frequency of email receipt and recent history). The email is sent so recipients receive it at the selected time in the respective time zone. Recipients may be grouped by time zones. After sending the email to the recipients, open/click rates of the email by the recipients by the determined time zones may be determined and displayed on a time zone map.

Abstract: Systems and methods for determining and sending a preferred of two electronic mail communications or messages (emails) to a group to increase likelihood of its review. Information for conducting a test between two emails, referred to as A email and B email, is collected. The information may identify a particular group, and segments A and B of the group. The information may provide content for the emails and include differentiation information between the emails. Determination information on how to select one of the emails as the preferred email and when to select the preferred email may be collected. The information is used to send the A email to the segment A, to send the B email to the segment B, to determine the preferred email between the A email and the B email, and to send the preferred email to at least a portion of the particular group.