Connect Salesforce with Bloomreach CDP to unify real-time customer data and power AI-driven personalization across email, web, app, ads, recommendations, and product discovery.
• Customer and account records from Salesforce are mapped to Bloomreach customer profiles, including identifiers and consent-related attributes where available.
• Order and line-item data is synchronized to Bloomreach events, with timestamps and value fields normalized for lifecycle, RFM, and attribution use cases.
• Product and category data is exported from Salesforce-managed sources (or connected PIM feeds) and mapped to Bloomreach catalog fields used in recommendations and discovery.
• Identity resolution links multiple identifiers (for example, email and CRM ID) to a single Bloomreach profile, with defined field ownership to prevent overwrites.
• Near-real-time and scheduled sync jobs handle delta updates, sending only changed records and applying basic schema validation before ingestion.
• Sync runs and rejected records are logged with error reasons, enabling retries and audit trails across the Salesforce to Bloomreach data pipeline.
.png)
We map Salesforce objects and events to Bloomreach identities, attributes, and audiences, then set up real-time sync or scheduled jobs based on latency needs. This keeps profiles and segments consistent across channels.
Typically it includes customers, consent, orders, returns, and key product and category signals that influence targeting. We validate each field against Bloomreach use cases so marketing gets actionable attributes, not noise.
Yes, we can separate data by brand, region, store view, or business unit, and keep shared identities where needed. This helps teams run localized campaigns without breaking global reporting.
We define a clear identity hierarchy, normalize identifiers, and set deterministic matching rules for merges. You get cleaner audiences, more accurate attribution, and fewer “mystery duplicates.”
scandiweb’s data engineers implement the pipelines, QA the data, and set up monitoring and alerts for failures or schema changes. Our analytics team has delivered 575+ eCommerce BI dashboards, so we’re used to keeping data reliable in production.






