OnAudience.com - Data Management Platform Features
What are the features of OnAudience.com - Data Management Platform?
Data Integration
- 1st-Party Data Integration
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OnAudience.com - Data Management Platform Categories on G2
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Data Integration
1st-Party Data Integration | Based on 10 OnAudience.com - Data Management Platform reviews. Integration with ad servers, DSPs, and SSPs, and other data sources for in- and out-bound data transfer. | 98% (Based on 10 reviews) | |
2nd-Party Data Integration | Allows user to combine first party data collected with additional first party data of strategic partners. | Not enough data | |
3rd-Party Data Integration | Breadth of standard integrations to third-party data providers. | Not enough data | |
Offline Data Integration | Able to easily integrate data from offline sources. | Not enough data | |
Mobile Data Integration | Able to easily integrate mobile data within the DMP platform. | Not enough data | |
Data Export Tools | Able to extract data from the DMP in bulk through a structured file. | Not enough data |
Data Analysis & Optimization
Audience Segmentation | Ease of segmenting user profiles into groups. | Not enough data | |
Recommendations | Analyzes data to find and recommend the highest value customer segmentations. | Not enough data | |
Standard Dashboards | Provides pre-built dashboards to aggregate and display data. | Not enough data | |
Custom Reports | Allows users to easily build customized reports and dashboards. | Not enough data |
Platform
Data Permissions | Able to set data permissions for strategic partners. | Not enough data | |
User, Role, and Access Management | See feature definition | Grant access to select data, features, objects, etc. based on the users, user role, groups, etc. | Not enough data |
Performance and Reliability | Software is consistently available (uptime) and allows users to complete tasks quickly because they are not waiting for the software to respond. | Not enough data | |
Enterprise Scalability | Provides features to allow scaling for large organizations. | Not enough data |