Data segments & techniques



Source:
Where is the data acquired?
            Online
-          Purchase: online purhase history
-          Action: user initiated, supplied, and/or completed action
-          View: user-visited content
Offline
-          Volunteered: data from offline databases
-          Purchase: user transaction data from offline purchase

Attribution:
What is the relationship between the data collector and the user?
-          1st party
-          3rd party

Derivation:
What techniques are used to transform source data into a segment?
-                                          Declared
o   Data segment is derived from information directly provided by the user such as age, gender, zip code, or interest in a particular area.
o   Information supplied by users or captured user actions, with no inferences made (e.g., user-supplied demographics, users who consume sports content, etc.)
-                                           Inferred
o   Data segment is derived by inferring attributes from observed behaviors or from finding users whose pattern of behaviors is similar to the pattern of behaviors exhibited by a known group of users.
o   Inferences made by inferring attributes from observed behaviors (e.g., auto intenders from a site visit, search data, content consumed over time, etc.)
o   Inferred attributes from mathematical modeling of behaviors from related data sets

Modality
What is the temporal state to which the data is being positioned?
                Predictive
o   Indicative of future action or state (e.g., auto intender, in-market home buyer, likely clicker)
o   Indicative of a current or past action or state (e.g., auto enthusiast, recent home buyer, male)



source: IAB Data Lexicon Final Release

Yorumlar

Bu blogdaki popüler yayınlar

McDonald's ın vizyonu

Ultimate Loyalty Statistics

A brief history of McDonald's