Overview
Integrating Triple Whale with Snowflake allows you to seamlessly export data for in-depth analysis and custom reporting, empowering a data-driven approach to business growth. Through Triple Whale’s Workflows feature, you can send data directly to Snowflake, enabling you to consolidate, analyze, and model your marketing data alongside other business insights.
With Snowflake’s advanced analytics capabilities, you can perform complex queries, track trends over time, and gain a more granular understanding of your marketing impact, ultimately allowing for more informed, strategic decision-making.
Get Connected
A brief walkthrough video of connecting Snowflake to Triple Whale.
To get started, head to Settings > Integrations. Locate Snowflake and click Connect.
You will be prompted for the following account information:
AccountId
Locate your Account URL from the Account Settings menu. It will resemble something like
PF05357.us-central1.gcp.snowflakecomputing.com)
Warehouse
Select the Snowflake warehouse you would like to use for processing the data
Database
Select which of your Databases in Snowflake into which Triple Whale may pass data.
Schema
Select which Schema within the selected Database you would like to use.
Username
This is your Snowflake account username
Password
This is your Snowflake account password
Once you have input the relevant data, click Save.
Using Workflows for Exporting Data to Snowflake
Triple Whale’s workflows feature makes it easy to export data to Snowflake, enabling advanced analysis and custom reporting. Here’s how to get started:
Select Snowflake as the Destination: In the final step of your Workflow setup, choose Snowflake as the export destination.
Configure Settings: Provide the necessary Snowflake details, such as database and schema names, to ensure your data is correctly routed for storage and analysis.
Schedule and Run: Decide whether to run the Workflow on-demand or at scheduled intervals. Scheduling ensures data is consistently sent to Snowflake, keeping your insights up-to-date for accurate analysis.
Practical Examples for Exporting Data to Snowflake
With Snowflake as your data destination, Workflows can automate critical analytics tasks, including:
Automated Performance Reporting: Export key performance metrics to Snowflake, allowing you to run advanced queries and keep reports up-to-date with the latest data.
Detailed Transaction Analysis: Sync detailed transaction data to Snowflake to perform comprehensive analyses of customer behavior, purchase trends, and revenue performance.
Unified Marketing Attribution: Consolidate data from multiple channels in Snowflake to gain a clearer view of marketing attribution and calculate a more accurate ROI.
Custom Data Models and Dashboards: Use data from Triple Whale in Snowflake to build tailored data models and dashboards that fit your unique business metrics and analytical needs.
Conclusion
By exporting data from Triple Whale to Snowflake, you gain the flexibility to conduct complex analyses, build custom reports, and make data-driven decisions with confidence. This integration turns raw data into actionable insights, supporting smarter strategies and sustainable business growth.