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Marketing teams can store approved images, PDFs, videos, and HTML email assets in Azure Blob Storage and push the latest versions into Braze campaigns and canvases. This ensures Braze always references current, brand-compliant content while reducing manual file handling across teams.
Customer lists, suppression files, loyalty segments, or event-trigger files can be dropped into Azure Blob Storage and automatically processed into Braze for targeted messaging. This is useful for scheduled promotions, lifecycle campaigns, and operational notifications that depend on external file feeds.
Braze campaign performance data, message delivery logs, and user engagement events can be exported to Azure Blob Storage for downstream analysis in BI tools, data warehouses, or custom reporting pipelines. This helps marketing and analytics teams measure campaign effectiveness beyond the Braze interface.
When operational systems place event files in Azure Blob Storage, such as abandoned application records, renewal notices, or shipment milestones, an integration can transform those records into Braze triggers for personalized email, push, or in-app messaging. This enables near real-time customer communication based on business events.
Global organizations can maintain localized creative assets, translated copy files, and region-specific compliance documents in Azure Blob Storage, then feed the appropriate content into Braze based on audience locale or market. This supports consistent multilingual execution across regions while keeping content management centralized.
Braze exports such as consent records, message history, suppression lists, and campaign audit files can be stored in Azure Blob Storage for long-term retention and compliance review. This is especially valuable for regulated industries that require secure archival and traceability.
Preference files, product catalog extracts, or content eligibility datasets can be maintained in Azure Blob Storage and synchronized into Braze to drive dynamic personalization. Braze can then use these inputs to tailor recommendations, offers, and message variants based on customer interests or eligibility rules.