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PimCore - Braze Integration and Automation

Integrate PimCore Digital Asset Management (DAM) and Braze Artificial intelligence (AI) apps with any of the apps from the library with just a few clicks. Create automated workflows by integrating your apps.

Common Integration Use Cases Between Pimcore and Braze

1. Product and content enrichment for personalized Braze campaigns

Data flow: Pimcore to Braze

Pimcore can serve as the master source for product attributes, content blocks, images, and localized descriptions. This data can be synchronized to Braze to power highly personalized email, push, and in-app campaigns with accurate product details, rich media, and region-specific messaging.

  • Marketing teams can build campaigns using approved product content without manual copy and paste.
  • Personalization improves because Braze messages reflect the latest product data and asset versions.
  • Reduces campaign errors caused by outdated pricing, descriptions, or imagery.

2. Customer segmentation using enriched master data

Data flow: Pimcore to Braze

Pimcore can provide enriched customer profiles, preferences, and business attributes to Braze for segmentation and audience targeting. This is especially useful when Pimcore holds consolidated customer or account data from multiple systems.

  • Supports more precise audience definitions such as customer tier, region, industry, or product ownership.
  • Enables lifecycle campaigns tailored to customer status or account value.
  • Improves campaign relevance and conversion rates by using trusted master data.

3. Behavioral engagement triggers based on product or catalog changes

Data flow: Pimcore to Braze

When Pimcore detects changes such as new product launches, stock updates, price changes, or content approvals, those events can trigger Braze campaigns. This allows marketing and commerce teams to react quickly to catalog changes and customer demand.

  • Launch campaigns can be activated automatically when new products are published.
  • Out-of-stock or back-in-stock notifications can be sent to interested customers.
  • Price-drop or promotion alerts can be delivered in near real time.

4. Campaign engagement data feeding back into customer records

Data flow: Braze to Pimcore

Braze engagement events such as opens, clicks, conversions, and unsubscribes can be sent back to Pimcore to enrich customer profiles. This gives product, sales, and customer service teams a more complete view of customer interaction history.

  • Customer records can reflect campaign responsiveness and channel preferences.
  • Sales and service teams can prioritize leads or accounts based on engagement signals.
  • Supports better governance by centralizing engagement history alongside master data.

5. Preference and consent synchronization across systems

Data flow: Bi-directional

Pimcore can store customer preferences, consent status, and communication permissions, while Braze uses that data to control message delivery. In return, Braze opt-outs or channel preferences can be written back to Pimcore to keep records consistent across the enterprise.

  • Ensures compliant messaging based on the latest consent state.
  • Prevents duplicate or conflicting preference records across teams.
  • Reduces legal and operational risk in regulated industries.

6. Omnichannel lifecycle orchestration for eCommerce customers

Data flow: Pimcore to Braze, with Braze to Pimcore feedback

Pimcore can provide the product, catalog, and customer context needed to orchestrate lifecycle journeys in Braze, such as welcome series, browse abandonment, cart recovery, and replenishment reminders. Braze engagement outcomes can then be fed back to Pimcore for reporting and profile enrichment.

  • Commerce teams can automate journeys using centralized product and customer data.
  • Campaigns can be tailored by category, purchase history, or customer segment.
  • Improves retention through timely, context-aware communications.

7. Unified reporting for product and campaign performance

Data flow: Braze to Pimcore

Braze campaign performance data can be integrated into Pimcore to connect marketing engagement with product and customer records. This helps teams analyze which products, categories, or content assets drive the strongest response.

  • Supports product-level analysis of campaign effectiveness.
  • Helps merchandising and marketing teams optimize content and offers.
  • Creates a more complete view of commercial performance across channels.

8. Localized and market-specific campaign execution

Data flow: Pimcore to Braze

Pimcore can manage localized product content, translations, market-specific pricing, and regional asset variants. Braze can then use this data to deliver campaigns aligned to each market, language, or customer region.

  • Reduces manual effort for multinational campaign operations.
  • Ensures customers receive messages in the correct language and market context.
  • Improves consistency between digital commerce content and customer communications.

How to integrate and automate PimCore with Braze using OneTeg?