The import error happens because HubSpot expects a one-to-one relationship between records and property values, but your CSV has multiple rows with the same contact identifier pointing to different values.
You can fix this by aggregating your data before import, combining multiple record values into single fields that HubSpot can process without errors.
Eliminate import errors with data aggregation using Coefficient
Coefficient provides the perfect workaround by letting you pull HubSpot data into spreadsheets, identify duplicate contact records, and aggregate multiple values before pushing clean data back to HubSpot .
How to make it work
Step 1. Import and diagnose your data.
Pull your HubSpot data into sheets using Coefficient and identify duplicate contact records with different associated values. Use conditional formatting with =COUNTIF($A:$A,$A2)>1 to highlight duplicates and see exactly which contacts have multiple records causing the import error.
Step 2. Aggregate duplicate records.
Create a helper column with TEXTJOIN formula: =TEXTJOIN(“; “, TRUE, FILTER($B$2:$B$1000, $A$2:$A$1000=$A2)). This combines all values for each unique contact into a single field. In Google Sheets, you can also use the QUERY function to group and concatenate values automatically.
Step 3. Prepare clean data for import.
Create a deduplicated list using =UNIQUE(A2:A1000) and add your aggregated values next to unique contacts. Validate no duplicates remain with COUNTIF to ensure your import will be error-free.
Step 4. Execute error-free import.
Use Coefficient’s Export to HubSpot feature with UPDATE action to modify existing contacts. Map your aggregated field to the target property and set up scheduled exports to maintain data freshness as new records are added.
Get your data imported without errors
This approach eliminates the duplicate record errors that plague standard CSV imports while preserving all your valuable data in a format HubSpot can handle. Start using Coefficient to fix your import issues today.