Subscriber and Data Management (26%) - Segmentation Flashcards
What is Data Segmentation
Segmentation allows marketers to split up audiences into smaller segments based on a set of applied conditions to deliver targeted communication to subscribers.
What are the Benefits of Data Segmentation?
By creating audience segments, marketers can improve campaign performance and customer satisfaction.
Companies focus their marketing efforts on their most engaged clients by reaching out to subscribers interacting with marketing content.
What types of Data Segmentation are available (6)?
Demographic
Geographic
Behavioural
Psychographic
Communication Preference
Previous Interactions
What would Demographic Data Segmentation use?
Subscriber age, gender, occupation, education
What would Geographic Data Segmentation use?
City, country, region, distance from a given location, time zoe
What would Behavioural Data Segmentation use?
Loyalty membership, status (new customers, active, inactive), usage level, buying method.
What would Psychographic Data Segmentation use?
Interests, attitudes, lifestyle
What would Communication Preference Data Segmentation use?
Email, mobile messaging, social media
What would Previous Interactions Data Segmentation use?
Email opens, clicks, time of interaction with marketing assets.
What would Geographic Data Segmentation use?
How can a user Segment Data in Email Studio (2)?
Random Data Extensions
Filtered Data Extensions
How is a Random DE created in Email Studio
Based on existing DEs. Subscribers from the source DE are RANDOMLY allocation into a maximum of 12 new DEs created automatically by Marketing Cloud.
Destination DEs acquire the configuration of the source DE.
How is a Filtered DE created in Email Studio?
Based on existing DEs.
Subscribers from the source DE are allocation to Filtered DE based on filtering logic applied during the creation process.
Destination DE is created automatically by MC and acquires the configuration of the source DE.
What is a Use Case for a Random DE in Email Studio?
To create audiences for testing purposes where segments must be randomised and specific filter logic does not need to be applied.