cClone
Positive event
(variable to explain) to select the targeting parameters to be considered by the algorithm for the creation of the clone
Negative event (Universe)
(explanatory variables) characterizes the group of internet users that will be scored against the parameters selected in the positive segment
cClone Mode
Clusters Only
No Socio-demo behavior
Versioned profile
profile that already exist
Mini bucket
Volume of cookies to create scoring tree,
Algorithm parameters
he depth of the scoring tree, i.e. the branches of the tree that will highlight the best explanatory variables for a score
Data TYPE
1st party data
My Data, My Media data
My Data (1st party data)
data from advertiser’s website and CRM databases applying AND, OR, EXCLUSION rules on the target parameters
My Media (1st party data)
data from advertiser’s previous campaigns Combine various data sources to create an audience segment,
My Audiences (1st party AND/OR 3rd party data)
Saved audiences composed of C-clones, 1st party and/or 3rd party data
3rd party data
Composed of Demographic, Behavioral, Geography, Technology
Behavioral (3rd party data)
Weborama’s data with segments & clusters on Interest profile
Demographic (3rd party data)
Weborama’s data with segments & clusters on Socio-demographic profile
Geography (3rd party data)
administrative regions
Technology (3rd party data)
user devices & terminals such as Browser, Devices, Operation Systems, Internet Providers
Boolean engine
Combine various data sources to create an audience segment, applying AND, OR, EXCLUSION rules on the target parameters
Bootstrap
Retrieve data on defined previous period (Recency 1, 3, 5, 10, 15, 30)
Frequency (FEATURE)
- Unique frequency : The number of times a unique user was exposed to an ad.
- Daily unique frequency : The average number of times a daily unique user was exposed to an ad.
Recency
Calculated in real time, Volume on previous N Days.
recency 1, 2, 3, 5, 7, 14, 21, 30 days.
Add Comment