The Targeting data product provides customer enrichment and segmentation capabilities based on Dun & Bradstreet household data. It includes demographic and lifestyle attributes such as household identifiers, moving events, purchase power indicators, and behavioral data. Use this for customer profiling, targeting strategies, and understanding household-level characteristics. Common use cases are:Documentation Index
Fetch the complete documentation index at: https://developer.voyado.com/llms.txt
Use this file to discover all available pages before exploring further.
- Audience segmentation based on demographic and lifestyle attributes
- Personalization strategies using household-level data
- Tracking contact enrichment history and managing data integrity
- Analyzing customer lifecycle patterns and household behaviors
bisnode_enrichment
Tenant column:tenantIdDescription: The table contains data related to customer enrichment activities. It includes information about contacts, their corresponding identifiers, and details about the enrichment process such as the value, type, and the temporal aspects of changes. This table is useful for tracking updates to customer profiles, understanding enrichment history, and managing data integrity by identifying deleted entries.
| Column name | Type |
|---|---|
| tenant_id | STRING |
| contact_id | STRING |
| bci_id | STRING |
| value | STRING |
| type | STRING |
| precision | STRING |
| enrichment_id | STRING |
| version | INT |
| is_deleted | BOOLEAN |
| change_type | STRING |
| event_timestamp | TIMESTAMP |
| write_timestamp | TIMESTAMP |