Bloomreach is proud to announce a new partnership with Snowflake — now, data-driven marketers can use the data stored in Snowflake to power their autonomous marketing activities via Bloomreach’s agentic platform for personalization.
With the launch of a brand-new native Snowflake Imports integration, you can directly connect Bloomreach Engagement with Snowflake. This integration allows businesses to seamlessly and efficiently import customer profiles, events, and product data directly from Snowflake into Bloomreach Engagement.
It’s more important than ever for marketers to leverage all the available data they can to help them run successful campaigns. To do this, they need to have at least a high level of knowledge of the company’s data architecture and how they can apply it to their activities, which is where data clouds and data warehouse platforms come in.
This post explains data warehouses and how they can help marketers achieve their business goals. I’ll also dive deeper into how Bloomreach leverages these powerful tools (including our new native Snowflake integration) to fuel strategic growth and improve business efficiency.
About Bloomreach’s Snowflake Integration
Our newest native integration directly connects Bloomreach with the Snowflake AI Data Cloud. Using our native Snowflake integration, you can power Bloomreach Engagement with data stored in your Snowflake tables. This enables you to sync customer attributes, events, and catalogs to run highly targeted and personalized campaigns that drive conversions.
How the Integration Works
This integration allows Bloomreach users to connect directly to their Snowflake instance using secure authentication (username and key pair). Once the integration is established, users can create import jobs from Snowflake. These imports can be configured as:
- Single imports for initial data synchronization
- Repeated imports to run automatically at user-defined intervals
- Sync updates, a scheduled, recurring delta import of changes since the previous import
The integration only requires a one-time setup — no additional setup needed. When importing from a table or view with change tracking enabled, it can automatically import subsequent changes from Snowflake via sync updates as often as every 15 minutes to keep your data in Bloomreach Engagement up to date.
Here are some of the key benefits of our new Snowflake integration:
- Simple setup: The native SQL connector is much easier to set up compared to previous file-based import methods. Authentication is done directly within the Bloomreach platform using Snowflake credentials and keys.
- Data flexibility: Bloomreach’s SQL-based imports can work with any sort of data structure in Snowflake, without requiring specific table or view setups.
- High data freshness: The integration supports scheduled and recurring delta imports, allowing customers to define data freshness with a minimum frequency of 15 minutes. This ensures Bloomreach Engagement has access to up-to-date data from Snowflake for timely personalization.
- Efficient data transfer: By leveraging a direct connection, the native integration streamlines the data transfer process, eliminating the need for manual file creation, management, and uploading.
The native Snowflake Imports integration unlocks various powerful use cases for personalized marketing by leveraging the comprehensive data stored in Snowflake:
- Fueling Loomi AI with rich Snowflake data: Import detailed customer attributes and behaviors stored in Snowflake (e.g., purchase history, loyalty rewards, in-store interactions) to create richer and more comprehensive customer profiles in Bloomreach Engagement. This enables Loomi AI to create highly personalized segmentation and messaging at scale.
- Highly granular segmentation: Leverage the extensive data in Snowflake to build advanced and highly specific customer segments within Bloomreach Engagement. For example, segment customers based on specific product purchases combined with geographical data stored in Snowflake.
- Triggering personalized campaigns: Utilize event data or updated customer attributes imported from Snowflake to trigger timely and relevant marketing campaigns. For instance, trigger a follow-up email based on a recently completed purchase event recorded in Snowflake.
- Synchronizing product catalogs: Import and regularly update product catalog information from Snowflake into Bloomreach Engagement’s catalogs. This ensures that product information in personalized recommendations and campaigns is always accurate and current.
- Dynamic pricing and offer personalization: Use up-to-date product availability, pricing, or margin data stored in Snowflake to dynamically inform discount decisions or personalized pricing within Bloomreach campaigns. For example, promote lower-stock products or high-margin items to specific segments dynamically.
- Lifecycle stage personalization powered by Loomi AI: Use Snowflake to maintain lifecycle stage classifications (e.g., onboarding, active, churn risk, reactivation). Import these as attributes, then let Loomi AI automatically personalize message timing, creative, and product offers for each stage.
- Next-best offer predictions: Combine Snowflake data on customer lifetime value, category affinity, past purchases, and promotion responsiveness. Feed this into Loomi AI predictions to surface the next-best offer or product recommendation with the highest likelihood of conversion.
- AI-driven content personalization based on sentiment and feedback scores: Ingest NPS scores, customer satisfaction surveys, or sentiment analysis results stored in Snowflake (e.g., from support tickets, product reviews, or CSAT surveys). Then, let Loomi AI use this data to tailor tone and content strategy.
- Unified data for comprehensive analytics: Export detailed customer interaction data from Bloomreach (like email opens, clicks, website visits) to Snowflake to create a single source of truth for comprehensive analysis. While the Snowflake integration primarily focuses on imports, Bloomreach offers exports to cloud storage like GCS, which can then be loaded into Snowflake. Please note that exporting data to Snowflake is available via our exports feature. For more information on exports, see our documentation.
One more thing: To follow zero-copy practices and protect sensitive customer data, you can also calculate segments in Snowflake and only send segment information to protect the privacy of your customers. This means you can minimize data duplication by only sending final calculated segments and attributes without transferring raw sensitive data.
Data Management With Bloomreach and Snowflake
Bloomreach is an AI-driven platform that unifies customer data to deliver personalized marketing across channels. At its heart is a customer data engine, which acts as a composable customer data platform (CDP) directly connected to analysis and activation within the same platform. The composable aspect means Bloomreach offers CDP functionalities but is also an open platform that allows integrations with other platforms, like Snowflake, via native connectors or APIs, tailoring the platform to your exact needs.
A CDP’s key value is in having 360° customer profiles focused primarily on customer data for marketing and personalization. Meanwhile, a data cloud’s key value is storing “everything” — customer profiles, events, products, financials, logistics, and more — primarily for long-term storage and analysis of all business data. These systems are not mutually exclusive; in fact, they can be used in tandem to accelerate time to value. Bloomreach’s approach is designed for this synergy.
With the Snowflake integration, Bloomreach offers flexible tech stack integration. If you store your data in Snowflake, we offer options for flexible data sync and exports to keep real-time data in Bloomreach and export historical data to Snowflake for long-term storage. Alternatively, Bloomreach can also act as an activation point, leveraging all the business data you choose to import for running your use cases.
Snowflake offers virtually unlimited storage and computation power and provides a single source of truth across departments. Data privacy laws are getting stricter globally, and data governance is a critical concern. The AI Data Cloud offers advanced security controls and auditing capabilities, allowing businesses to maintain compliance. Bloomreach’s integration with Snowflake simplifies compliance by allowing you to manage sensitive data centrally and selectively import only what’s necessary for activation.
Zero-Copy vs. Smart Data Management
First, let’s explain what “zero-copy” is. Essentially, zero copy data access (ZCDA) is a technique that allows data to be transferred between applications without being copied from one memory location to another.
While some platforms heavily promote a zero-copy approach, Bloomreach offers a flexible solution. A pure zero-copy model, where data is only queried from the AI data cloud without being copied into the marketing platform, can introduce latency and limit its suitability for true real-time, in-session personalization.
Bloomreach’s approach acknowledges the trade-off between a pure zero-copy model and the need for low-latency data access for real-time marketing activation. Our native Snowflake imports focus on efficiently bringing the necessary data into Bloomreach. This allows Bloomreach to leverage its real-time data processing capabilities to react to changing customer behavior in milliseconds, enabling use cases that a purely query-based zero-copy import with higher latency cannot easily support, such as immediate web and app personalization or real-time responses to zero-party data collection.
By offering a robust native import capability, Bloomreach empowers marketers with the data they need for effective personalization without the limitations of relying solely on querying an external data warehouse, which can introduce latency and increase computation costs. Bloomreach enables customers to choose the right data to copy for activation, optimizing for cost-efficiency, security, and real-time performance.
We understand that not all of your customer data needs to be available in Bloomreach; that’s why we offer flexibility in setting up data imports and exports. This allows you to save on storage costs while maintaining real-time capabilities, all while following the principle of data minimization (i.e., only storing the data you need to run a use case). This approach helps businesses maximize data value and minimize data burden.
Do More With Your Data With Bloomreach + Snowflake
Bloomreach makes it possible to track, store, analyze, and activate — all within the same platform. Marketers can have full control over the whole process of running omnichannel campaigns from the first to the last step.
Meanwhile, Snowflake has become indispensable for businesses aiming to centralize and leverage vast amounts of data. Bloomreach’s new native Snowflake integration provides a seamless and powerful way to connect your rich data to your marketing activation platform. By integrating flexible solutions that balance storage, accessibility, and real-time processing, Bloomreach enables brands to harness the full potential of their data, driving successful marketing campaigns with unparalleled personalization and efficiency.
The native Snowflake Imports integration is a powerful tool for businesses looking to maximize the value of their data. By offering seamless connectivity, flexibility, and real-time capabilities, Bloomreach empowers marketers to deliver highly personalized and effective campaigns. This integration bridges the gap between data warehousing and marketing activation, enabling businesses to leverage their extensive Snowflake data to drive growth and enhance customer experiences.
Get more detailed information about our Snowflake integration and how it can benefit your business. Or, schedule a personalized demo today to discuss your specific needs with our team.
