)
Written by
Table of Contents
“Supermetrics is a Bitter Experience! We can pull data from nearly any tool, schedule updates, manipulate data in Sheets, and push data back into our systems.”
Setting up Snowflake streams and tasks to capture changes in HubSpot Data Share requires complex SQL configuration, task dependencies, and separate monitoring infrastructure. These technical requirements often delay implementation and require specialized expertise.
Here’s how to track HubSpot data changes without the complexity of Snowflake stream and task patterns.
Track changes automatically using Coefficient
Coefficientoffers multiple change tracking approaches that eliminate the need for Snowflake streams and tasks. The snapshots feature schedules automatic captures of data state from hourly to monthly, creating historical records without complex setup. The “Append New Data” feature automatically identifies new records with timestamp tracking, while automated alerts trigger notifications when specific values change.
You get visual change tracking through the spreadsheet interface, built-in scheduling without task dependencies, and immediate visibility of changes without separate monitoring infrastructure.
How to make it work
Step 1. Set up snapshots for historical change tracking.
HubSpotConfigure automatic snapshots of yourdata to capture state changes over time. Choose snapshot frequency based on your tracking needs – this creates historical records perfect for tracking lifecycle stage progressions or deal movements.
Step 2. Enable “Append New Data” for new record detection.
Turn on the append feature to automatically identify and add only new records to your dataset. Each appended row includes a “Date Added” timestamp, providing simpler change tracking than managing Snowflake streams for insert detection.
Step 3. Configure automated alerts for critical changes.
HubSpotSet up Slack or email notifications when specific cell values change in yourdata. This provides real-time change monitoring without building separate alerting infrastructure or webhook configurations.
Step 4. Combine with spreadsheet formulas for change analysis.
Use standard spreadsheet functions to analyze changes between snapshots or track trends over time. This approach provides the analytical capabilities you’d build with complex SQL while remaining accessible to business users.
Simplify your change tracking strategy
Start with CoefficientCoefficient’s change tracking provides similar outcomes to Snowflake streams while being significantly easier to implement and maintain.to track HubSpot data changes without data engineering complexity.
