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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 import wizard can’t perform aggregation during import, so when you have many-to-one relationships like multiple orders per contact or several support tickets per customer, you can’t consolidate this data into single contact properties.
You can solve this by transforming your many-to-one data using spreadsheet formulas before import, creating properly formatted single contact properties that preserve all relationship information.
Transform many-to-one relationships using Coefficient
Coefficient excels at this transformation by letting you import many-to-one data, apply aggregation formulas to consolidate the “many” side, then export clean single-property records to HubSpot . This solves a fundamental limitation in HubSpot’s import capabilities.
How to make it work
Step 1. Analyze your relationship structure.
Import your many-to-one data via Coefficient and identify the “many” side (like multiple orders per contact) and determine your desired output format for the “one” field. Plan whether you need text aggregation, numerical summarization, or complex mapping.
Step 2. Apply transformation formulas.
For text aggregation, use =TEXTJOIN(” | “, TRUE, FILTER(B:B, A:A=E2)). For numerical data, try =SUMIF(A:A, E2, C:C) to sum values, =COUNTIF(A:A, E2) to count records, or =MAXIFS(C:C, A:A, E2) for latest dates. Create complex mappings with =CONCATENATE(“Total: “, COUNTIF(A:A, E2), ” | Values: “, TEXTJOIN(“, “, TRUE, FILTER(B:B, A:A=E2))).
Step 3. Validate and clean your data.
Remove duplicates from the “one” side, validate relationship integrity, and handle null values in the “many” side. Ensure your output meets HubSpot field requirements and test with a small sample before full processing.
Step 4. Execute the mapped import.
Create a staging sheet with one row per contact and aggregated fields. Use Coefficient Export with proper field mapping and test with a small batch before importing your complete dataset.
Start mapping your relationship data
This approach handles complex scenarios like purchase history summaries, support ticket aggregations, and event attendance scoring that HubSpot’s native import simply can’t process. Try Coefficient to transform your many-to-one relationships into actionable contact properties.
