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“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.”
Yes, you can directly update HubSpot contact properties from Google Sheets using live Snowflake data. This eliminates manual CSV exports and data manipulation that create bottlenecks and accuracy issues.
Here’s how to set up an automated workflow that keeps your CRM enriched with real-time app usage data from your warehouse.
Update HubSpot contacts with live Snowflake data using Coefficient
Coefficient creates a direct bridge between your Snowflake warehouse and HubSpot CRM through Google Sheets. Instead of manual exports and imports, you get live data connections that update automatically and sync back to your CRM with a few clicks.
How to make it work
Step 1. Import live Snowflake data into Google Sheets.
Connect to Snowflake through Coefficient’s sidebar and import your app usage data. Select specific tables or write custom SQL queries to pull exactly what you need. Set up automatic refresh schedules so your data stays current without manual intervention.
Step 2. Import HubSpot contact data.
Use Coefficient’s native HubSpot integration to import contact records with all necessary properties and Object IDs. Apply filters to focus on specific contact segments. Both data sources now exist as live, refreshable imports in your spreadsheet.
Step 3. Match and enrich data using spreadsheet formulas.
Use XLOOKUP or VLOOKUP to match Snowflake app usage data with HubSpot contacts by email or other identifiers. Create calculated fields like “Last Active Days” or “Feature Usage Score” based on your business logic. Coefficient’s Formula Auto Fill Down feature automatically applies formulas to new rows as data refreshes.
Step 4. Configure HubSpot writeback.
Select “Export to HubSpot” from Coefficient’s sidebar and map your calculated columns to HubSpot contact properties. Choose the UPDATE action to modify existing records and preview changes before executing to ensure accuracy.
Step 5. Execute and track updates.
Run the export manually or schedule it to sync automatically. Coefficient adds Result columns showing success or failure for each record, with Object IDs becoming clickable links to view updated records directly in HubSpot.
Keep your CRM enriched with warehouse insights
This workflow transforms manual data management into an automated pipeline that keeps HubSpot continuously updated with Snowflake insights. Get started with Coefficient to eliminate data silos between your warehouse and CRM.
