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
3rd party data
Composed of Demographic, Behavioral, Geography, Technology
My Data (1st party data)
...
Boolean engine
Combine various data sources to create an audience segment, 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
already saved and new audiences
Behavioral
Weborama’s data with segments & clusters on Interest profile
Demographic
Weborama’s data with segments & clusters on Socio-demographic profile
Geography
administrative regions
Technology
user devices & terminals
targeting criteria
...
Bootstrap
Retrieve data on defined previous period (Recency 1, 3, 5, 10, 15, 30)
Search in our DB users matching the audience and attribute them the audience
Push the stock
Push users from audience to Partners
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.