Natural language in expressions
The segmenting expressions are defined in natural language and are thus manageable without IT experience.
Custom fields segmentation expressions
Segmentation in ExpertSender™ can be based on any subscriber custom field and offers the following comparison operators: is equal to, starts with, not equals, is empty, is not empty, is higher than, is lower than, is earlier than, is later than, is defined by number of hours/days/months before or after. It also allows comparing values of two different custom fields, e.g. date X is later than date Y.
Click based segmentation expressions
Allow behavioral segmentation based on the following conditions: (not) clicked link in email/SMS, clicked link exactly/at least X time in email/type of email message/SMS, (not) clicked link in email/type of email/SMS in specified time frame, which can be further scoped to a particular link only. Example: when you need to follow up with an offer only to the subscribers who showed interest in a particular offer by clicking its URL in a previous mailing. It also allows narrowing the search to subscribers that clicked on links within messages tagged with certain tags, e.g. financial, entertainment.
Segments you create in the system are fully manageable, so you can remove subscribers listed within the segment, set/remove a value of a property for the listed subscribers, or export a segment to a CSV file.
Create dynamic segments of subscribers with logical expressions (and/or/none) and unlimited nesting depth.
List segmentation expressions
Segment subscribers from each list based on their subscription or confirmation dates. The segments auto-adjust selected recipients, according to applicable expressions directly before an email is sent.
Delivery based segmentation expressions
Allow segmentation based on the following conditions: (not) received message, (not) received email/SMS exactly/at least X times, (not) received email/SMS in specified time frame, (not) received message split test version. Example: when you need to target previously excluded recipients, if you stopped a delivery of a message due to an error spotted in the content. It also allows narrowing the search to subscribers that received messages tagged with certain tags (e.g. financial, entertainment).
Bounce based segmentation expressions
Group subscribers that didn't receive a particular message due to specific bounce type. Example: when you need to resend a message at a later time to a group of recipients that bounced back due to blocks.
Open based segmentation expressions
Allow behavioral segmentation based on the following conditions: (not) opened message, (not) opened exactly/at least X times message/type of message, (not) opened message/type of message in specified time frame. Example: when you need to target specific mailings only at the most engaged subscribers. It also allows narrowing the search to subscribers that opened messages tagged with certain tags, e.g. financial, entertainment.
Tag based segmentation expressions
Group subscribers that ever opened or clicked in a group of email/SMS messages with specific tags. Example: when you need to target a new financial offer to subscribers engaged only with previous financial mailings.
Social sharing based segmentation expressions
Allow behavioral segmentation based on the following conditions: (not) shared message or specific link in message on social media, (not) shared message in specified time frame on social media. Example: when you need to reach only the most socially engaged recipients with your next mailing.
Data tables based segmentation expressions
Allow grouping subscribers based on complex subscriber data uploaded to relation data tables, e.g. complete purchase history. It can be used to compare values from the data table columns and calculate average, minimum, maximum and total values.
Goal based expressions
Allow limiting the segment based on goals reached by subscribers after receiving messages (e.g. conversions): reached goal, reached goal with value higher/lower than X in a certain date range after receiving a particular email/SMS or any message. It also allows narrowing the search to subscribers that reached a goal after receiving messages tagged with certain tags (e.g. financial, entertainment).
Email reading device based segmentation expressions
Find subscribers using mobile, desktop or web email clients that opened or clicked links in your previous emails to send dedicated campaigns optimized for certain devices.
Subscribers limit in a segment
Allows limiting the number of subscribers in a segment -- they will be selected randomly, if the result of segmentation is larger than your limit. Example: when you need to select a representative group for testing a particular creative.
Channel based segmentation
Allow the grouping of subscribers based on the channel which can be used to contact them. Example: find subscribers that can only be contacted through email/SMS, or subscribers that can be contacted through all channels.
Reuse predefined segmentation
Incorporate predefined segment definitions into a newly created or existing segment. For example, applying the same or similar restrictions as you had on another list to a new one without having to recreate the segment definition from scratch.