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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”