MessageGears Integrates with BigQuery to Enable Data-Driven Customer Engagement

Data activation and engagement platform MessageGears has announced that it has attained the Google Cloud Ready—BigQuery Designation. This integration with Google Cloud BigQuery allows marketers to access data directly from the BigQuery platform, its multi-cloud data warehouse. Using this interface, enterprises can create a modular Customer Data Platform (CDP) based on BigQuery, providing a more cost-effective alternative to standard CDP solutions.  

This solution leverages BigQuery's skills in handling and analyzing large datasets while keeping data at rest. Moreover, the link enables deeper audience segmentation and real-time data activation via MessageGears, resulting in more tailored consumer engagement.

“Our partnership and native integration with Google Cloud via the Google Cloud Ready - BigQuery Designation extends our efforts to provide enterprise marketers with direct access to the data in their data warehouse environment. We know how invaluable it is for big brands to have efficient and secure real-time data access when it comes to creating successful campaigns that drive customer loyalty and activity,” said Caroline Nash, Director of Partnerships at MessageGears.

BigQuery, a fully managed, AI-ready data analytics platform, allows organizations to maximize the value of their data. It is designed to support multiple engines, formats, and cloud environments.

Key benefits 

The native integration of BigQuery and MessageGears provides several key benefits, including advanced audience segmentation using BigQuery's robust analytics to create intricate customer segments, seamless cross-channel campaign execution across email, SMS, and push notifications with data stored in BigQuery, and real-time personalization that leverages up-to-the-minute data for tailored messaging and offers based on customers' most recent behaviors.

Furthermore, this integration improves data privacy and security by securely storing Personally Identifiable Information (PII) within BigQuery while also allowing scalability across the technology ecosystem by accessing a variety of Google Cloud services via its flexible architecture.