Intelligence rollouts are multi-month projects. The connector setup and data harmonization take longer than the dashboard authoring.
- Provision the Marketing Cloud Intelligence tenant
Coordinate with the Salesforce account team. The product has its own provisioning process separate from base Marketing Cloud.
- Inventory marketing data sources
List every platform with marketing data: ad networks, analytics tools, email platforms, CRM, social management. Rank by criticality.
- Configure connectors
For each source, configure the connector with credentials, refresh frequency, and field mappings. Start with the highest-priority sources.
- Harmonize data into the canonical model
Map each source''s fields into the Intelligence taxonomy. Document the mappings; they''re critical for accurate cross-channel analysis.
- Build initial dashboards
Use the templates library or build from scratch. Start with marketing-leadership views (total spend, ROI, attribution) before drilling into channel-specific reports.
- Train marketing analysts
The product is powerful but has a learning curve. Train the team on connector management, data harmonization, and dashboard authoring.
- Marketing Cloud Intelligence is licensed separately. Pricing scales with connectors and data volume; budget accordingly.
- Data harmonization is the hardest part. Source-system fields vary widely; mapping them correctly takes time and iteration.
- The Datorama brand persists in old documentation. Treat Datorama and Marketing Cloud Intelligence as synonyms.
- Multi-touch attribution requires good source data. Garbage in, garbage out; attribution quality depends on tracking quality.