HubSpot lacks proactive duplicate prevention for custom properties, only offering reactive detection for standard fields after duplicates already exist. This means you’re always playing catch-up instead of preventing data quality issues before they impact your operations.
Here’s how to shift from reactive cleanup to proactive prevention with early warning systems that stop duplicates before they become problems.
Build proactive duplicate prevention using Coefficient
Coefficient enables proactive monitoring by establishing early warning systems that prevent duplicates before they impact data quality, something HubSpot simply can’t do for HubSpot custom properties.
How to make it work
Step 1. Set up real-time monitoring for prevention.
Configure Coefficient to import new HubSpot records with hourly refreshes minimum and automatically check custom property values against existing data as records are created. This catches potential issues immediately rather than after they accumulate.
Step 2. Implement prevention logic.
Create instant duplicate detection that triggers immediate comparison against historical data when new records appear, build pattern recognition to identify potentially problematic patterns before they become duplicates, and use similarity scoring to flag records with high similarity scores to existing custom property values.
Step 3. Build an early warning system.
Set up pre-duplicate alerts that notify teams when new records show high similarity to existing custom property values, configure threshold monitoring to alert when duplicate rates approach concerning levels, and implement trend analysis to identify increasing duplicate patterns before they become widespread.
Step 4. Configure automated prevention actions.
Create validation rules that flag potential duplicates during data entry, generate quality scores that get exported back to HubSpot as custom properties for sales team awareness, and use blocked export lists with conditional exports to prevent creation of obvious duplicates.
Step 5. Create a proactive data quality dashboard.
Build risk indicators with visual metrics showing duplicate risk levels by custom property, track prevention statistics to monitor prevented duplicates and system effectiveness, and create team performance monitoring to identify which teams or users are creating potential duplicates.
Step 6. Integrate with data entry processes.
Validate import templates against existing data before bulk uploads, integrate with APIs to validate new records through Coefficient before HubSpot creation, and set up training alerts that notify users when they attempt to create records with existing custom property values.
Stop duplicates before they start
This proactive approach shifts from reactive duplicate cleanup to preventive data quality management, significantly reducing duplicate-related issues in HubSpot custom properties. Build your proactive prevention system today.