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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.”
Import2 skips rows during Excel to HubSpot imports due to validation failures, formatting issues, or data conflicts, but provides limited visibility into which specific records failed and why.
Here’s how to identify failed records and prevent row skipping through transparent import processing and detailed error reporting.
Track import success and identify failed records using Coefficient
CoefficientHubSpotprovides complete visibility into import processing with real-time feedback about which records succeed or fail, detailed error explanations for each failed row, and specific guidance on how to resolve validation issues that causeto reject records.
Instead of Import2’s black-box processing where rows disappear without explanation, you get transparent import tracking with actionable error details for every failed record.
How to make it work
Step 1. Execute imports with comprehensive error tracking enabled.
Run your Excel to HubSpot import through Coefficient’s interface, which tracks the success/failure status of each record in real-time. You’ll see exactly which rows are processing successfully and which encounter issues.
Step 2. Review detailed error reports for failed records.
Access Coefficient’s error log to see specific information about why individual rows failed. Common issues include missing required fields, format violations (dates, emails, numbers), duplicate detection conflicts, and invalid property values.
Step 3. Fix issues directly in Excel using error feedback.
Use the detailed error information to correct problems in your Excel file. For example, if row 47 failed due to an invalid email format, you can fix that specific email address and prepare for retry.
Step 4. Re-import only the previously failed records.
Use Coefficient’s selective retry capability to process only the records that failed initially. This prevents re-importing successful records while addressing the specific rows that encountered validation issues.
Transform row skipping into manageable error resolution
Start using CoefficientRow skipping shouldn’t be a mystery that leaves you guessing which records imported successfully. With complete import visibility and detailed error reporting, you can address specific issues efficiently rather than troubleshooting blind spots.to eliminate import uncertainty.
