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.
