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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.”
HubSpot’s free version doesn’t support bulk selection of activity records, forcing users into tedious individual record copying that’s impractical for data migration projects. Manual selection becomes nearly impossible with large activity datasets.
Here’s how to enable true bulk activity extraction that processes thousands of records simultaneously while preserving all data relationships and formatting.
Process thousands of activities simultaneously using Coefficient
CoefficientHubSpoteliminates bulk selection limitations by enabling mass activity extraction from. Import entire activity databases in single operations instead of copying individual records.
How to make it work
Step 1. Import all contacts to establish migration mapping.
HubSpotStart by importing your complete contact database from. This creates the foundation for mapping activities to contacts during migration and ensures no relationships are lost.
Step 2. Import all engagement objects in bulk simultaneously.
Select notes, calls, emails, meetings, and tasks for bulk import. Use up to 25 filters to target specific date ranges or contact segments if needed, but capture thousands of activity records in a single operation.
Step 3. Use spreadsheet functions to match activities to contacts.
Apply VLOOKUP or INDEX/MATCH formulas to connect activity records with contact data. This preserves all relationships and prepares data for target system import with proper field mapping.
Step 4. Format bulk data according to destination CRM requirements.
Create columns that match your target system’s import format. Map HubSpot fields to destination fields, validate data completeness, and export as CSV for bulk import tools like Salesforce Data Loader.
Scale your migration beyond manual limitations
Start your bulk migrationStop limiting your migration to what you can manually select and copy. Process complete activity databases efficiently while maintaining data integrity and relationships that manual methods often break.today.
