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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.”
HubSpotGetting comprehensivedata into Google Sheets typically requires API knowledge or technical setup, but no-code solutions can now handle all standard objects, custom properties, and engagement data through visual interfaces.
Here’s how to extract every dimension and metric from HubSpot using point-and-click tools that require zero programming knowledge.
Complete HubSpot data extraction with visual interfaces using Coefficient
Coefficientprovides comprehensive no-code access to all HubSpot data types through a visual interface. This includes all standard objects like contacts, companies, deals, tickets, products, and quotes, plus any custom objects you’ve created. You can also pull custom properties, calculated fields, and engagement data like call logs and email activity.
The key advantage is complete field selection with automatic mapping, so you don’t need to understand API endpoints or field names. Everything appears in dropdown menus with search functionality to find exactly what you need.
How to make it work
Step 1. Connect and explore available data.
Install Coefficient from Google Workspace Marketplace and connect to HubSpot with one-click OAuth. Open the import builder and browse the dropdown list of all available HubSpot objects. You’ll see standard objects, custom objects, and engagement data clearly labeled with descriptions.
Step 2. Select comprehensive field sets.
For each object, use the “Select All” option to pull every available field, or manually choose specific dimensions and metrics. The search bar helps you find custom properties quickly. All field types are supported – text, numbers, dates, dropdowns, calculated properties, and formula fields.
Step 3. Configure association handling for related data.
Choose how you want related records displayed. Use “Primary Association” for single relationships, “Comma Separated” for multiple values in one cell, or “Row Expanded” to show each relationship on its own row. This ensures you capture all the dimensional relationships between objects.
Step 4. Set up multiple object imports with synchronized schedules.
Create separate imports for each major object type (contacts, deals, companies, tickets) and schedule them to refresh at the same time. This gives you complete datasets that update together. Use VLOOKUP or INDEX/MATCH formulas to combine data from multiple imports for cross-object analysis.
Step 5. Enable historical tracking and calculated metrics.
Turn on Snapshots to capture data changes over time while your main imports continue refreshing with live data. Add spreadsheet formulas that auto-fill as new records import, creating calculated metrics like conversion rates, deal velocity, or customer lifetime value.
Access your complete HubSpot dataset today
Start with CoefficientComprehensive data analysis shouldn’t require technical expertise or API knowledge.to pull all your HubSpot dimensions and metrics into Google Sheets using simple point-and-click tools.
