Braze, the comprehensive customer engagement platform that powers interactions between consumers and the brands they love, unveiled today new and enhanced data features, partnerships, and functionality to help brands streamline data integration and reduce time-to-value. Leveraging these advancements, brands will be able to easily access and activate valuable first-party data quickly to power personalized customer engagement strategies that can drive loyalty, retention, and revenue. In addition, Braze announced the expansion of its Cloud Data Ingestion offering integrations with Amazon Redshift from Amazon Web Services (AWS), Databricks’ Lakehouse Platform, and Google BigQuery, making it easier for marketers to directly access data in Braze.
Brands are shifting their stance on amassing vast data quantities and instead are prioritizing how to more effectively collect and activate high-quality, valuable first-party data to engage and retain consumers. Despite collecting valuable customer data, internal data silos pose challenges for technical teams, making it difficult to provide relevant data to empower marketing teams. At the same time, 71% of consumers anticipate personalized interactions, and businesses need more streamlined processes to collect, integrate, and activate customer and product data across diverse systems to meet these expectations. With Braze, brands have a more cohesive solution that streamlines data integration, enhances flexibility, and bolsters the ability to deliver tailored customer experiences.
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New data products and features announced include:
- Drive Efficiency with Data Transformation for Custom Data Integration(s): The Data Transformation feature empowers brands to increase efficiencies by integrating with other marketing, operations, and technology investments, allowing technical teams more time to innovate on their products and solutions. This distinct capability enables brands to customize webhook integrations from within the Braze platform and map user data from external software tools into Braze. Enabled by an intuitive user interface, this feature is designed to enhance data flexibility and accessibility. Brands will also have the ability to use AI to generate data transformation code, powered by Sage AI by Braze, helping marketers create custom transformations faster while reducing complexity and reliance on technical skills.
- Streamline Data Access for Personalized Cross-Channel Engagement with Cloud Data Ingestion Integrations: With the expansion of Cloud Data Ingestion, marketers can accelerate time to value and eliminate complexities when quickly accessing valuable first-party data to create highly personalized cross-channel customer engagement strategies. Braze integrations with Databricks’ Lakehouse Platform, the Snowflake Data Cloud and cloud data warehouses, including Amazon Redshift and Google BigQuery, offer direct connectivity, synchronization, and data deletion capabilities. These integrations cover user data, encompassing user attributes, events, purchases, and catalog data. This comprehensive feature enhances data management by leveraging the capabilities of the industry’s leading cloud data warehouses.
- Create Precise Targeting with SQL Segment Extensions: Now using Braze, marketers are more equipped with tools to increase revenue by actioning on deep customer insights. With Segment Extensions, brands gain the power to construct and target a wide array of segments through a fast and adaptable SQL editor.
SOURCE: Businesswire