Abstract: Systems and methods for predicting an outcome for a marketing asset. The systems and methods comprise first determining by a computing device, for a marketing asset received by the computing device, at least one asset type of the marketing asset. The marketing asset is parsed, by the computing device, into a plurality of segmented components, based on the determined at least one asset type. For at least one of the plurality of segmented components, at least one discrete marketing message conveyed by the marketing asset is determined, by applying at least one of a predictive model or rules to the at least one segmented component, where the at least one predictive model or rules are stored in a memory associated with the computing device. The method further includes determining, for each of the at least one discrete marketing message, at least one associated score.

Abstract: Systems and methods for predicting an outcome for a marketing asset. The systems and methods comprise first determining by a computing device, for a marketing asset received by the computing device, at least one asset type of the marketing asset. The marketing asset is parsed, by the computing device, into a plurality of segmented components, based on the determined at least one asset type. For at least one of the plurality of segmented components, at least one discrete marketing message conveyed by the marketing asset is determined, by applying at least one of a predictive model or rules to the at least one segmented component, where the at least one predictive model or rules are stored in a memory associated with the computing device. The method further includes determining, for each of the at least one discrete marketing message, at least one associated score.

Abstract: A content editor for generating content including root blocks and nested blocks is disclosed. The content editor can generate a deployment that includes the content. The content editor can generate user interface code configured to edit the content. The content editor can receive updates to the content and update the root blocks and nested blocks. The updated root blocks and nested blocks can be used to generate updated content for editing and/or can be deployed to end-users.

Abstract: Systems and methods for predicting an outcome for a marketing asset. The systems and methods comprise first determining by a computing device, for a marketing asset received by the computing device, at least one asset type of the marketing asset. The marketing asset is parsed, by the computing device, into a plurality of segmented components, based on the determined at least one asset type. For at least one of the plurality of segmented components, at least one discrete marketing message conveyed by the marketing asset is determined, by applying at least one of a predictive model or rules to the at least one segmented component, where the at least one predictive model or rules are stored in a memory associated with the computing device. The method further includes determining, for each of the at least one discrete marketing message, at least one associated score.

Abstract: Systems and methods for predicting an outcome for a marketing asset. The systems and methods comprise first determining by a computing device, for a marketing asset received by the computing device, at least one asset type of the marketing asset. The marketing asset is parsed, by the computing device, into a plurality of segmented components, based on the determined at least one asset type. For at least one of the plurality of segmented components, at least one discrete marketing message conveyed by the marketing asset is determined, by applying at least one of a predictive model or rules to the at least one segmented component, where the at least one predictive model or rules are stored in a memory associated with the computing device. The method further includes determining, for each of the at least one discrete marketing message, at least one associated score.

Abstract: 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.

Abstract: This disclosure involves modifying messaging data having unknown attribute values associated with entities to facilitate retrieval of address data for communications with the entities. For example, a system accesses a mapping of first addresses to an attribute, wherein the first addresses include (1) a target address for a target entity and (2) addresses associated with first entities in turn associated with first known values of the attribute. The system accesses a mapping of second addresses to an attribute, wherein the second addresses include (1) the target address for the target entity and (2) addresses associated with second entities in turn associated with second known values of the attribute. The system determines distributions of the first known values and the second known values, predicts a value of the attribute for the target entity based thereon, updates the messaging data therewith, and services a query for addresses having the predicted value.

Abstract: In certain embodiments, evaluations of effectiveness are optimized for multiple electronic message versions. For example, a server receives, subsequent to first electronic messages being transmitted over a first time period, responsive electronic data automatically generated by interactions with these messages. The server controls, based on the responsive electronic data, transmission of second electronic messages to recipients. For instance, the server provides an interface for configuring a test transmission of different test message versions to segments of recipients, where each version includes a different combination of message attributes. The server receives a selection of options via the interface for the test transmission, identifies an adverse impact on the test transmission associated with the selection, and indicates the adverse impact via the interface. The server subsequently receives, via the interface, a modification to the test transmission options.

Abstract: This disclosure involves modifying messaging data having unknown attribute values associated with entities to facilitate retrieval of address data for communications with the entities. For example, a system accesses a mapping of first addresses to an attribute, wherein the first addresses include (1) a target address for a target entity and (2) addresses associated with first entities in turn associated with first known values of the attribute. The system accesses a mapping of second addresses to an attribute, wherein the second addresses include (1) the target address for the target entity and (2) addresses associated with second entities in turn associated with second known values of the attribute. The system determines distributions of the first known values and the second known values, predicts a value of the attribute for the target entity based thereon, updates the messaging data therewith, and services a query for addresses having the predicted value.

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: In certain embodiments, evaluations of effectiveness are optimized for multiple electronic message versions. For example, a server receives, subsequent to first electronic messages being transmitted over a first time period, responsive electronic data automatically generated by interactions with these messages. The server controls, based on the responsive electronic data, transmission of second electronic messages to recipients. For instance, the server provides an interface for configuring a test transmission of different test message versions to segments of recipients, where each version includes a different combination of message attributes. The server receives a selection of options via the interface for the test transmission, identifies an adverse impact on the test transmission associated with the selection, and indicates the adverse impact via the interface. The server subsequently receives, via the interface, a modification to the test transmission options.

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: 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.

Abstract: 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.

Abstract: 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.

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.