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Automatically create audiences from Microsoft SQL Server with the Google Customer Match integration
Microsoft SQL Server / Google Customer Match
Integrations

Automatically create audiences from Microsoft SQL Server with the Google Customer Match integration

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Quick summary of Microsoft SQL Server

Microsoft SQL Server is a relational database management system, or RDBMS, that supports the impact of transaction operations, business intelligence and analytics in corporate IT environments. It is one of the three market-leading database technologies, along with Oracle Database and IBM DB2. Like another RDBMS software, Microsoft SQL Server is based on SQL, a database standardized programming database and querying the data they contain. SQL Server is linked to a Transact-SQL (T-SQL), a Microsoft SQL implementation that adds a series of programming extensions that are proprietary to the standard language.

Security & Compliance: Protect data at rest and in motion with a database that has the least vulnerabilities of any major platform for six years running in the NIST vulnerabilities database. Security innovations in SQL Server 2017 help secure data for mission-critical workloads with a layers of protection security approach, adding Always Encrypted technology along with row-level security, dynamic data masking, transparent data encryption (TDE), and robust auditing.

The business intelligence helps you scale your business intelligence models, enrich your data, and ensure quality and accuracy with a complete BI solution. SQL Server Analysis Services help you build comprehensive, enterprise-scale analytic solutions benefiting from the lightning-fast performance of in-memory built into the tabular model. You can build intelligent applications with SQL Server Machine Learning Services using R and Python. Move beyond reactive and into predictive and prescriptive analytics by performing advanced analytics directly within the database. By using multi-threading and massively parallel processing, you’ll gain insights faster than using open source R and Python alone.

Quick summary of Google Customer Match

Google Customer Match (GCM) allows advertisers to get closer to customers in the moments that matter. With Customer Match, you can build specific groups of customers who then form the basis of a Remarketing Audience List. Google Customer Match is a powerful tool to create segments or groups of users which you think may behave differently from others. Once a group of users is created, the emails are hashed for anonymity and then uploaded into Google AdWords.

Because this tool can provide an important feature: Google Customer Match offers is the ability to process email addresses and match your database of Google account owners. Clearly, customers with Gmail addresses are likely to be easily matched, but even if the address is not Gmail, you can be connected to a Google account and then matched correctly. Besides, Google Customer Match recognizes that the user is in the audience and can act accordingly, based on the advertiser's instructions. With Google Customer Match, you can target customers who have purchased in the past but haven't returned to your site or bought for a while.

Google Customer Match allows you to target consumers who are already customers, and help expand your services by showing them content for supplementary or complementary products. If you have a group of consumers who are your top buyers, most profitable, and most loyal, Google Customer Match is a perfect way to create an audience of customers and look for others with the same characteristics from browsing behavior, keyword search behavior, or other contextual clues.


What you can do with Microsoft SQL Server and Google Customer Match

Sync Google Customer Match rows from tables - views of Microsoft SQL Server


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Other popular Google Customer Match integrations offered by LeadsBridge

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