Marketing Analytics_header_2022_08_15_ENG

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

Access your technology guide to unifying, analyzing, and activating data that powers amazing customer experiences. This report identifies leaders and ones to watch across six capabilities that comprise the modern marketing data stack. Findings are based on usage patterns from nearly 6,000 active 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

Customer 360

Identity and Enrichment

Advanced Analytics

Customer Data Platforms

Machine Learning & AI

find a partner

Why top marketers

choose the Data Cloud

Snowflake enables us to pull all of our campaigns across media channels into one place and evaluate in near real-time what is really working and what we can improve.

Vaibhav Kulkarni

Head of Engineering and Data Science, PepsiCo

Data sharing on Snowflake dramatically reduces data latency, improving the quality of our segmentation models and the impact of personalization in our campaigns.

Mateusz Zwieniecki

Senior Data Scientist, Asics

Snowflake enables us to create a 360-degree view of our merchants, dashers, and customers, enabling our teams to take a data-driven approach to growth.

Marta Vovchenko

Director of BI and Engineering, Doordash

Data driven

Marketing customers

DATA-DRIVEN MARKETING

USE CASES

Customer 360

Single Source of Truth

Bring together disparate data silos and enrich customer profiles while enabling compliance with privacy and regulatory requirements.

Customer Data Platforms

Operate from a single source of truth across the organization and leverage leading activation platforms to deliver the most personal and impactful experiences for customers.

Data Science

Learn how US Foods applied predictive analytics on top of its 360-degree view to better optimize promotions and measure results.

Campaign Optimization

Personalization and Multi-Channel Customer Experiences

Launch more personalized, closed-loop campaigns across channels with the Data Cloud.

Optimize Advertising Effectiveness

Reach your desired audiences and maximize return on advertising spend (ROAS) with Snowflake.

Increase ROAS

Make every campaign dollar count with the Modern Data Stack for Marketers

Attribution

Multi-Touch, Cross-Channel Measurement

See how PepsiCo brought its media campaign data in-house and built an ROI engine.

Clean Rooms: Attribution in a Cookieless World

Discover the unique secure multiparty computation capabilities of the Data Cloud– including data clean rooms– for solving identity resolution, attribution, and measurement.

Customer Lifetime Value (LTV)

See how Square leverages AI and ML to measure LTV by customer and drive next-best actions

EXPLORE THE DATA CLOUD

FOR MARKETING

WAYS TO

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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, and data science.

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