)
Written by
Table of Contents
“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.”
Pre-import validation prevents duplicate companies from entering HubSpot, but the platform provides no native validation tools to compare import data against existing records in real-time.
You’ll learn how to build comprehensive validation dashboards that flag potential duplicates before they reach HubSpot, saving hours of cleanup work later.
Build real-time validation workflows using Coefficient
Coefficient transforms validation by enabling real-time comparisons between import data and live HubSpot records in HubSpot . Unlike static exports that become outdated, this approach ensures validation against current data.
How to make it work
Step 1. Import live HubSpot company data for validation.
Use Coefficient to pull current company data including domains, names, phone numbers, and addresses. This creates your real-time reference dataset for duplicate checking.
Step 2. Create multi-criteria validation formulas.
Build formulas that check multiple fields: =IF(COUNTIF(hubspot_domains, new_domain)>0, “DOMAIN_MATCH”, IF(similarity_score>0.8, “NAME_MATCH”, “NEW”)). This catches duplicates that single-field matching would miss.
Step 3. Set up a validation dashboard with conditional formatting.
Create columns for match confidence, duplicate flags, and action recommendations. Use conditional formatting to highlight high-risk imports in red and potential matches in yellow for manual review.
Step 4. Build automated filtering and alert systems.
Use Coefficient’s filtering capabilities to separate validated records from flagged duplicates. Set up automated alerts when duplicate thresholds are exceeded, so you catch issues before importing.
Catch duplicates before they enter HubSpot
Pre-import validation prevents the cleanup headaches that come from duplicate companies entering your CRM database. Build validation workflows that work with live data instead of outdated static exports.
