HubSpot’s CSV import fails when your list has multiple rows per contact with different values that need to be combined into a single field, creating duplicate contact errors that prevent successful data import.
You can solve this by aggregating multiple record values into single fields before import, transforming your multi-row contact data into the clean, single-row format that HubSpot requires.
Streamline multi-value list imports using Coefficient
Coefficient handles unlimited records per contact while native HubSpot import fails at duplicates. Import your source data, aggregate multiple values using spreadsheet formulas, then export clean single-row records to HubSpot without errors.
How to make it work
Step 1. Prepare your multi-value list.
Import your source data into spreadsheet via Coefficient and identify contacts with multiple records. Determine your target field format requirements and plan your value separator (comma, semicolon, or pipe).
Step 2. Aggregate multiple values.
Use =TEXTJOIN(“, “, TRUE, FILTER($B$2:$B$1000, $A$2:$A$1000=D2)) for basic list aggregation. Remove duplicates with =TEXTJOIN(“, “, TRUE, UNIQUE(FILTER($B$2:$B$1000, $A$2:$A$1000=D2))). Create formatted lists using =”[” & TEXTJOIN(“] | [“, TRUE, FILTER($B$2:$B$1000, $A$2:$A$1000=D2)) & “]”.
Step 3. Create clean import data.
Generate a unique contact list with =UNIQUE(A2:A1000) and add aggregated values beside each contact. Validate no missing contacts and check field length constraints to ensure successful import.
Step 4. Execute error-free import.
Use Coefficient’s Export to HubSpot feature, mapping Contact Email/ID as identifier and your aggregated list to the target property. Choose INSERT for new contacts or UPDATE for existing ones, and enable error handling options for safety.
Import your multi-value lists successfully
This approach preserves all values without data loss while providing transformation audit trails and enabling scheduled updates as list values change. Try Coefficient to eliminate your multi-value import challenges.