Skip to main content

Hubspot cohort analytics with Snowflake and Datameer

Creating Hubspot cohort analytics is quite simple once you understand and prepare your funnel data properly. In this video, I decided to share in detail how I prepare data in Snowflake using Datameer. In this demo, I narrow in on the organic exploration and understanding of data that is lacking from many data and analytics solutions.

Implementing technology solutions that move and transform data is simple work

  • Moving data from Hubspot to Snowflake should require only a handful of clicks.
  • Connecting and joining Deals & Contacts to a Deals_Contacts in Snowflake should require a few lines of code.

Creating understanding and adoption of data assets intended for analytics & business outcomes is hard work

  • Creating understanding of data and desired outcomes across business and technical teams
  • Alignment of data “completeness and correctness” for data that is naturally imperfect
  • Delivery and adoption of data/analytic
  • Change management across systems, business definitions and teams.

Understanding and modeling data to fit a desired outcome is where the real work begins and why I am so bullish on Snowflake + Datameer.

In today’s video, we dive into the technical details and process how we use Datameer to explore, transform and publish HubSpot cohort analytics data directly inside of Snowflake.

Hubspot Cohort analytics in Snowflake video:

  • How to handle junction tables between contacts and deals
  • How to filter and reduce raw data into business-ready tables
  • How to visually explore and validate record matches
  • How to deploy clean, validated data sets as Snowflake views or tables
  • Change management, source control, and promotion management

Whether you’re building cohort analyses, revenue attribution, or funnel-to-ERP connections, this is how we go from messy CRM data to clean, trusted insights.

Need help building Hubspot analytics or setting up Snowflake

Setup a free consultation

author avatar
Ryan Goodman Founder
Ryan Goodman has been in the business of data and analytics for 20 years as a practitioner, executive, and technology entrepreneur. Ryan recently created DataTools Pro after 4 years working in small business lending as VP of Analytics and BI. There he implanted an analytics strategy and competency center for modern data stack, data sciences and governance. From his recent experiences as a customer and now running DataTools Pro full time, Ryan writes regularly for Salesforce Ben and Pact on the topics of Salesforce, Snowflake, analytics and AI.