Blueshift + Snowflake: Top 3 Benefits for the Modern Marketer

Blueshift and Snowflake logos

For modern marketers, having access to your rich first-party data is critical for delivering the personalized, relevant experiences your customers have come to expect. Traditionally, a lot of this data has been trapped inside data warehouses and has only been available to BI and Data Science teams. Luckily, we have a solution that will make data roadblocks a thing of the past, putting data into the hands of marketers.

With Blueshift, customers can leverage all their customer data for any use case, data complexity, and volume demand as their brand scales and customer behaviors evolve. Blueshift directly integrates with Snowflake, the modern Data Cloud that helps brands mobilize their data and execute data workloads at an unlimited scale.

Having this bi-directional integration allows businesses to unify data in real-time, effortlessly activate that data, and gain comprehensive views of the data. Blueshift and Snowflake together improve marketer agility and empower next-generation customer engagement.

Direct Integration

Top Benefits for Blueshift Customers

Blueshift customers using Snowflake can immediately access the full breadth of your company’s amassed data from applications, cloud services, on-premise databases, etc., and use it to create more personalized, dynamic experiences for customers.

Snowflake & Blueshift bi-directional data flow


1. Unlock the Full Potential of Your Data

Snowflake and Blueshift working in tandem provide a frictionless, secure data flow between the platforms. The direct integration empowers marketers to access previously inaccessible customer data including offline transactions, support tickets, in-store purchases, catalog interactions, CRM data, website and mobile behaviors, and much more. The seamless integration unlocks data in Snowflake to provide the most up-to-date information for every customer. With more rich and accurate customer data, marketers can activate that data to deliver hyper-personalized and targeted campaigns that drive continued engagement. Marketers can also leverage Snowflake Streams – Snowflake’s native change data capture ability – making incremental syncs between Snowflake and Blueshift more efficient and scalable.


Screenshot with an example of single customer view


2. Take Control of Your Marketing Data

With the bi-directional Snowflake integration, IT teams can quickly share multidimensional Snowflake data with marketing teams. At the same time, marketing teams won’t require SQL knowledge to manipulate multidimensional data in the Blueshift platform, giving marketers more control of that data. Blueshift’s self-serve configuration to the Snowflake adaptor helps eliminate backend effort. This streamlines coordination across teams to ensure cross-functional efficiencies. Blueshift gives power to marketers to define incoming attribute mapping, create custom attributes, drop any of the incoming attributes from ingestion and define import schedule. Marketers can edit running or saved import tasks to change data mapping or schedule of the import. You can also export your campaign activity data from Blueshift to your Snowflake instance. With this integration, marketers also gain more insight into customer behavior and preferences. 


3. Easily Activate Your Data

Simply having access to the data is not enough – marketers also need data to be actionable. With Blueshift, marketers can easily activate that data and use it to drive their campaigns, from execution to comprehensive segmentation, predictive modeling, and more. This means that marketing teams no longer have to be dependent on data science teams or have knowledge of SQL in order to use their data effectively. Instead, they can use Blueshift to easily activate and leverage their data to create targeted campaigns and improve customer engagement.

So what does this actually look like for the marketer? An example of this is, as a marketer, you use Snowflake to unlock valuable transactional data to understand a user’s purchasing history. With that data you develop custom attributes based on key transactional metrics. From there, you are able to leverage that new data to deliver automated, personalized cross-channel messages based on the most up-to-date information. This results in an increase in conversion rate. 

And how does it all work? Blueshift takes the valuable data from Snowflake and combines it with other rich data, including campaign engagement, real-time behaviors, onsite activity, and more, to generate predictive insights such as channel engagement scores, AI-powered affinities, propensity scores, and engage time affinities for every customer. Predictive intelligence feeds off of the data coming in from Snowflake, so the more data piped in, the more effective and accurate it will become.

If you’d like to learn more about how Blueshift can make your marketing strategies more effective and help you fully harness the power of your customer data, schedule a demo with the team, or check out our self-guided product tour today.

If you’re already a Blueshift customer, check out the App Hub or contact your Customer Success Manager to learn more about enabling this direct integration.

You can also visit the Snowflake Marketplace to learn more about the Blueshift and Snowflake integration.