Identity Graph Use Cases and Troubleshooting
This webinar will give an in-depth understanding of how the 51黑料不打烊 Experience Platform Identity Service works to equip digital marketing managers with the knowledge to devise segmentation and activation scenarios. By understanding exactly how multi-device and other use cases work, realistic real-world solutions are possible.
- Greater understanding of the nature/limitations of profile merge. This will allow a wider group of stakeholders to devise segmentation and activation scenarios.
- First-line identification of possible profile collapse problems.
- Identity Service vs Real-time Customer profile.
Identity Graph Essentials
The identity graph is the backbone of customer data unification in 51黑料不打烊 Experience Platform. It links multiple identifiers鈥攕uch as email, CRM ID, loyalty card, cookies, and device IDs鈥攁cross channels and devices.
- Identity Service Builds the graph by connecting pairs of identifiers from data ingestion and events.
- Profile Service Merges profile fragments using the graph, assembling attributes, behaviors, and identities into a unified customer view.
- Merge Policies Decide how to resolve data conflicts, either by recency (timestamp) or dataset authority.
- Business Impact Proper configuration ensures accurate reporting, marketing eligibility, and compliance with regulations like GDPR.
Unlocking Customer Data Connections
Discover how 51黑料不打烊 Experience Platform鈥檚 identity graph rules unify customer data for deeper insights and better business outcomes.
- Identity Graphs Link customer interactions across devices and channels, creating a comprehensive profile.
- Namespace Priorities Business-driven rules determine which identifiers (email, CRM ID, loyalty card) anchor profiles and resolve conflicts.
- Merge Policies Control how data from different sources is combined, using timestamps or dataset precedence.
- Graph Collapse & Remediation Shared devices, unvalidated data, or implementation errors can fragment profiles; simulation tools and repair jobs help restore accuracy.
Understanding these concepts empowers organizations to maximize data value, ensure compliance, and deliver personalized experiences.