Are you efficiently unifying, modeling, analyzing, and activating all the data you need to drive impactful marketing campaigns and customer experiences?
For years, marketing teams have struggled to operate from a single view of the customer and their business, essential to powering personalized experiences and measuring impact on key KPIs such as sales, growth, and profitability. Today, only half of all marketers have a unified view of the customer. And about the same percentage of marketing leaders are unimpressed by the results they receive from their investment in analytics.
Leading organizations are building modern data stacks on the Data Cloud to deliver on the promise of data-driven marketing. To help identify best practices for developing a modern marketing data stack, Snowflake started with all of the companies that are active members of the Snowflake Partner Network (or ones with a comparable agreement in place with Snowflake), as well as Snowflake Marketplace providers, and analyzed usage patterns for those companies from nearly 6,000 of our active customers with existing on-demand or capacity Snowflake contracts that generated revenue between June 1, 2021, to June 1, 2022. The analysis revealed how businesses are assembling their marketing data stacks and which solutions are the most common. These organizations use the Snowflake Data Cloud, alongside their martech tools, as the foundation for their modern marketing data stack, giving Snowflake a unique vantage point to assess their use of complementary marketing technologies.The result is our report, The Modern Marketing Data Stack: Your Technology Guide to Unifying, Analyzing, and Activating the Data That Powers Amazing Customer Experiences.
Here are some highlights from our findings:
95.2% use at least one of the tools highlighted in our report, while an equally impressive 71% use three or more.
Of course, organizations are in different phases of implementing their data-driven marketing strategy. Some may find themselves early in their journey, currently building a strong foundation by integrating all business and customer data into a single view. Others have matured to the phase of being able to activate that data, execute cross-channel attribution and measurement, and apply data science tools to support automation at scale for marketing use-cases.
Access the full report here to see a complete list of top providers delivering on each capability of the modern marketing data stack.
1 As of July 31, 2022. Please see Snowflake’s Q2 FY23 earnings press release for a definition of total customers.
2 Snowflake internal data, 2022.
Try Snowflake free for 30 days and experience the AI Data Cloud that helps eliminate the complexity, cost and constraints inherent with other solutions.
Copyright 2022, Snowflake Site. All rights reserved.