Connect Salesforce with Treasure Data, an enterprise CDP, to unify data, resolve identities, build segments, and activate audiences across your warehouse and marketing channels with cleaner analytics.
• Salesforce objects (for example, Leads, Contacts, Accounts, Opportunities, and Campaign Members) are extracted via API and landed into Treasure Data tables with field-level mappings.
• Identity resolution links CRM identifiers (Contact Id, Lead Id, email, phone, and external IDs) to unified customer profiles, with deterministic and rules-based matching applied where available.
• Incremental loads ingest only created or updated Salesforce records based on timestamps and IDs, while full refreshes are used for selected objects when required.
• Treasure Data segments and calculated attributes are generated from unified profiles and behavioral datasets, then serialized into audience exports tied to stable customer keys.
• Audience syncs write back to Salesforce as Campaign Members, custom objects, or attributes, with ownership defined per field to avoid overwriting system-of-record data.
• Sync jobs validate schemas, handle null and type coercion, and log run status, rejected rows, and API errors for audit and troubleshooting.
• Warehouse connections (for example, Snowflake, BigQuery, or Redshift) are supported through batch exports and imports, keeping CRM, CDP, and analytics datasets aligned.
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We map Salesforce objects and events into Treasure Data, then configure identity stitching rules so customer profiles merge cleanly across IDs and channels.
Common feeds include Leads, Contacts, Accounts, Opportunities, Campaigns, and key custom objects, plus behavioral events and consent flags where available.
Yes, Treasure Data can sync computed attributes and segment memberships back to Salesforce so teams can trigger journeys, personalize outreach, and keep reporting aligned.
Yes, we design the pipeline so Treasure Data and your warehouse stay consistent, with clear ownership of schemas, refresh cadence, and downstream dependencies.
We standardize identity keys and data taxonomy, then model region, brand, and consent logic so segments stay accurate across business units.






