Data Categories Overview

Personal Information

Description

Personal information is information that directly identifies a specific individual, and may include name and email address.

Categories of Sources

From representatives of prospect, client and partner

Categories of Purposes

Sales, marketing, and commercial operations:

Customer relationship management, account management, sales operations, customer service
Direct marketing communications (email), lead generation, market research and development
Business partner relationship management

Disclosure or Sale

Disclose to service provider under contracts limiting use of data as necessary to provide services
Disclose to third parties at the direction of and on behalf of clients
Disclose to third parties for purposes described in the Privacy Policy under “Other Collection, Use, and Disclosure”

CRM Data

Description

Customer Relationship Manager (CRM) data is the information associated with a company’s relationship with prospects, customers and other commercial relationships, and may include personal information such as contact information and pseudonymous data.

Categories of Sources

From representatives of prospect, client and partner
From clients for Sojern to deliver online and interest-based advertising

Categories of Purposes

Sales, marketing, and commercial operations:

Customer relationship management, account management, sales operations, customer service
Direct marketing communications (email), lead generation

Disclosure or Sale

Disclose to service provider under contracts limiting use of data as necessary to provide services
Disclose to third parties at the direction of and on behalf of clients
Disclose or sell to third party ad exchanges, ad networks, other demand-side platforms (DSP), and data partners for the delivery of Sojern services
Disclose to third parties for purposes described in the Privacy Policy under “Other Collection, Use, and Disclosure”

Pseudonymous ID

Description

Pseudonymous ID is information that does not, by themselves, identify a specific individual without the addition of other information. PseudonymousID include cookie ID, mobile advertising ID (MAID), IP address, hashed email address, loyalty ID, and other online identifiers.

Categories of Sources

From technologies like cookies (persistent and session) and web beacons
From Software Development Kit (SDK)
From clients for Sojern to deliver online and interest-based advertising
From data partners or third party aggregator

Categories of Purposes

Online behavioral advertising; online or interest-based advertising

Ingest signals from clients and data partners
Create travel profiles and audiences across web and mobile
Utilize proprietary learning algorithm to combine data from advertising campaigns and ID matching efforts to create the most relevant campaign opportunities
Enable use of Sojern platform with real-time advertising campaigns

Business intelligence and analytics

Create insights using predictive analytics and business intelligence

Product innovation and development

Market research and development; technology product design and development; product testing; new innovative use of/purpose for existing product

Disclosure or Sale

Disclose to service provider under contracts limiting use of data as necessary to provide services
Disclose to third parties at the direction of and on behalf of clients
Disclose or sell to third party ad exchanges, ad networks, other demand-side platforms (DSP), and data partners for the delivery of Sojern services
Disclose to third parties for purposes described in the Privacy Policy under “Other Collection, Use, and Disclosure”

Audience Data

Description

Aggregated and pseudonymized information of the preferences, interests, consumer segment, and demographics of large groups of similar consumers.

Categories of Sources

From publicly available data sources
From technologies like cookies (persistent and session) and web beacons
From clients for Sojern to deliver online and interest-based advertising
From data partners who provide give Sojern access to pseudonymous IDs to associate with an audience segment
From information created in the course of providing Sojern services (e.g.technical data, performance data)

Categories of Purposes

Online behavioral advertising; online or interest-based advertising

Create travel profiles and audiences across web and mobile
Utilize proprietary learning algorithm to combine data from advertising campaigns and ID matching efforts to create the most relevant campaign opportunities
Enable use of Sojern platform with real-time advertising campaigns

Business intelligence and analytics

Create insights using predictive analytics and business intelligence

Product innovation and development

Market research and development; technology product design and development; product testing; new innovative use of/purpose for existing product

Disclosure or Sale

Disclose to service provider under contracts limiting use of data as necessary to provide services
Disclose to third parties at the direction of and on behalf of clients
Disclose or sell to third party ad exchanges, ad networks, other demand-side platforms (DSP), and data partners for the delivery of Sojern services
Disclose to third parties for purposes described in the Privacy Policy under “Other Collection, Use, and Disclosure”

Geolocation Data

Description

Geolocation data is information that identifies or estimates the real-world geographic location of an individual or device.

Categories of Sources

From technologies like cookies (persistent and session) and web beacons
From Software Development Kit (SDK)
From clients for Sojern to deliver online and interest-based advertising
From data partners who provide give Sojern access to pseudonymous IDs to associate with an audience segment

Categories of Purposes

Online behavioral advertising; online or interest-based advertising

Create travel profiles and audiences across web and mobile
Utilize proprietary learning algorithm to combine data from advertising campaigns and ID matching efforts to create the most relevant campaign opportunities
Enable use of Sojern platform with real-time advertising campaigns

Business intelligence and analytics

Create insights using predictive analytics and business intelligence

Product innovation and development

Market research and development; technology product design and development; product testing; new innovative use of/purpose for existing product

Disclosure or Sale

Disclose to service provider under contracts limiting use of data as necessary to provide services
Disclose to third parties at the direction of and on behalf of clients
Disclose or sell to third party ad exchanges, ad networks, other demand-side platforms (DSP), and data partners for the delivery of Sojern services
Disclose to third parties for purposes described in the Privacy Policy under “Other Collection, Use, and Disclosure”

Technical Data

Description

Technical data is information associated with websites, browsers, devices, and other technologies.

Log data. Standard Internet log data of Internet page request that is automatically collected from visits to websites: URL of page requested; IP address; browser type; browser language; configuration settings; operating system information; mobile service provider; search terms; date and time stamp
Event data. Information about the ads, where and when they are seen, and how users react to the ads:advertiser ID; campaign ID; date and time stamp; URL; click, hover, or convert action

Categories of Sources

From technologies like cookies (persistent and session) and web beacons
From Software Development Kit (SDK)
From clients for Sojern to deliver online and interest-based advertising

Categories of Purposes

Online behavioral advertising; online or interest-based advertising

Create travel profiles and audiences across web and mobile
Utilize proprietary learning algorithm to combine data from advertising campaigns and ID matching efforts to create the most relevant campaign opportunities
Enable use of Sojern platform with real-time advertising campaigns

Business intelligence and analytics

Create insights using predictive analytics and business intelligence

Product innovation and development

Market research and development; technology product design and development; product testing; new innovative use of/purpose for existing product

Disclosure or Sale

Disclose to service provider under contracts limiting use of data as necessary to provide services
Disclose to third parties at the direction of and on behalf of clients
Disclose or sell to third party ad exchanges, ad networks, other demand-side platforms (DSP), and data partners for the delivery of Sojern services
Disclose to third parties for purposes described in the Privacy Policy under “Other Collection, Use, and Disclosure”

Performance Data

Description

Performance data is information regarding a campaign, and may include number of impressions, interactions, and other campaign details.

Categories of Sources

From technologies like cookies (persistent and session) and web beacons

Categories of Purposes

Online behavioral advertising; online or interest-based advertising

Create travel profiles and audiences across web and mobile
Utilize proprietary learning algorithm to combine data from advertising campaigns and ID matching efforts to create the most relevant campaign opportunities
Enable use of Sojern platform with real-time advertising campaigns

Business intelligence and analytics

Create insights using predictive analytics and business intelligence

Product innovation and development

Market research and development; technology product design and development; product testing; new innovative use of/purpose for existing product

Disclosure or Sale

Disclose to service provider under contracts limiting use of data as necessary to provide services
Disclose to third parties at the direction of and on behalf of clients
Disclose to third parties for purposes described in the Privacy Policy under “Other Collection, Use, and Disclosure”

Privacy Center