Single Source of Truth
Eliminate data silos and build your data-driven marketing foundation by joining all your customer, marketing and campaign data with the full breadth of your enterprise data.
Snowflake for
Marketing Analytics
Rely on the Snowflake Data Cloud to unify your fragmented data, deliver superior customer experiences, maximize return on marketing and advertising investments, and drive long-term growth.
THE MODERN MARKETING DATA STACK
Discover the tools and technologies customers are using to enhance marketing data analytics and more accurately measure performance and ROI. This report identifies leaders and “ones to watch” across the 10 capabilities that compose today’s marketing data stack. Findings are based on usage patterns from over 8,000 Snowflake customers.
WHY SNOWFLAKE
for marketers
Deliver Holistic Insights, Faster
Seamlessly integrate the full breadth of customer data to power your marketing analytics. Leverage structured and semi-structured data from internal and external sources, across channels, and in real time.
Know and Serve Your Customers
Access and activate near-unlimited first-, second-, and third-party data to power your segmentation models, recommendation engines, and other artificial intelligence (AI) and machine learning (ML) investments, so you can deliver relevant, accurate, timely, and consistent customer engagements.
Increase Your Marketing and Advertising ROI
Easily execute continuous analytics in real time, so data can reveal which of your engagements across a multitude of channels drive the greatest impact. Make decisions and take action in the moment to engage customers with messaging and offers they desire, thereby increasing customer acquisition and loyalty.
Marketing Analytics
Partners
EXPLORE THE DATA CLOUD
FOR MARKETING
WAYS TO
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Start Your 30-Day
Free Trial
Try Snowflake free for 30 days and experience the Data Cloud that helps eliminate the complexity, cost, and constraints inherent with other solutions. Available on all three major clouds, Snowflake supports a wide range of workloads, such as data warehousing, data lakes, AI and machine learning.