The Rocket Science Group LLC

Benjamin Chestnut

John Foreman

Cass Petrus

Chad Morris

Andrew Connor

Valerie Warner Danin

Nathaniel Bainton

Sean Sawyer

Stephen Martin

Amro Mousa

William Hoffmann

Joe Uhl

Mark Armstrong

Chadwick Morris

Certain embodiments involve stopping potential flagged email, such spam, before it becomes flagged email. For instance, certain embodiments can make a prediction (e.g., spam or other flagged email) about a 'proposed' email message to a list of email addresses of proposed recipients. The flagged email prediction is generated based on the list of email addresses of recipients. The flagged email prediction can involve using stored data about historic email addresses, historic lists of email addresses, historic email transactions, or some combination thereof to calculate historic hard bounce rates. The historic hard bounce rates can be used to train processes to calculate the hard bounce rates for the email addresses on the list and the list of email addresses.

Automatically predicting that a proposed electronic message is flagged based on a predicted hard bounce rate

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.

Methods and systems for predicting a proposed electronic message as spam based on a predicted hard bounce rate for a list of email addresses

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.

Systems and methods for determining and sending a preferred of two electronic mail communications

An organizer may send information relating to an event to participants via text messaging without having participants' texting numbers. Particularly, organizer may be associated with a texting number. Organizer sets event's start/end times, and provides email addresses for event invitees. Email requests invitees' texting numbers to participate in event. Texting numbers are stored, and encrypted respectively as identifiers. Organizer's message for participants is sent as text message to participants' texting numbers between event's start/end, and may be sent as if the message originated from organizer's texting number. When event ends, participants' texting numbers are deleted unless a participant participates in organizer's later ending event. In response to invitation to organizer's later event, a received participant's texting number may be encrypted as later identifier, and compared with identifier from earlier event. If a match, organizer's text message sent to participant during prior event is included in organizer's or participant's conversational history.

Methods and systems for providing information relating to an event

Growing community of inventors

Atlanta, GA, United States of America

Benjamin Chestnut