1st party data

Data own by client composed of 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,

=> It can be call Custom Segment

My Audiences (1st party AND/OR 3rd party data)

Saved audiences composed of C-clones, 1st party and/or 3rd party data

=> It can be call Segment

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3rd party data

Weborama data Composed of Demographic, Behavioral, Geography, Technology

Behavioral (3rd party data)

Weborama’s data with segments & clusters on Interest profile

This data set is divided into 2 criteria: Segments and Clusters

1- Segments: 23 segments that aggregate several clusters

2- Clusters: 160+ centers of interests. Each cluster is linked to one single segment

Example: The “Clothing, shoes and accessories” segment is composed of 7 clusters: accessories, clothing, eyewear, fashion trend, footwear, jewelry, lingerie

Demographic (3rd party data)

Weborama’s data with segments & clusters on Socio-demographic profile

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Geography (3rd party data)

enables to select the geographic criteria to build an audience
This data set is divided into pre-defined administrative groupings according to the country, e.g. Regions and Departments for France

Regions: regroup the 27 administrative regions in France

Departments: regroup all the departments linked to a region

Technology (3rd party data)

enables the user to select the technologies criteria to build an audience
This data set is divide into pre-defined groupings according to User Agent information and Digital Elements (for Internet Service Providers)

1- Browsers = IE, Firefox, Chrome, Safari, Opera, etc.

2- Devices = Desktop, Mobile, Tablet, Unknown

3- Operating Systems = IOS, Android, Blackberry, MacOS, Windows, Symbian etc …

4- Internet Service Providers = depending of the country

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Recency

Calculated in real time, Volume on previous N Days.

recency 1, 2, 3, 5, 7, 14, 21, 30 days.

Quantile

Level of user’s interest in a segment from 1 to 20

Surf intensity

Level of user’s internet navigation from 1 to 20

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Metrics

• Cookies = Web Navigation cookies

• IDFA = mobile IDs

• User app = Xdevice profile with at least 1 IDFA (this profile can have other IDFA and/or AfficheW)

• User Web = Xdevice profile with at least 1 AfficheW (this profile can have other IDFA and/or AfficheW)

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