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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.”
CoefficientEnrichment tools use different scoring scales and field names that don’t match HubSpot properties, creating mapping challenges thatsolves through advanced data transformation and formula capabilities.
You’ll discover how to standardize scoring across different enrichment sources and create consistent lead scoring in HubSpot regardless of data source.
Transform and standardize lead scoring with advanced mapping using Coefficient
HubSpotHubSpotCoefficient provides a data transformation layer that converts different scoring scales, maps field names, and combines multiple enrichment sources into standardizedproperties with proper validation and quality control for.
How to make it work
Step 1. Import HubSpot contacts with existing scoring properties.
Use Coefficient to pull your current HubSpot contact data including any existing lead scoring fields. This creates your baseline for comparison and helps identify which contacts need scoring updates from enrichment tools.
Step 2. Import enrichment data into adjacent columns.
Bring in scoring data from tools like ZoomInfo, Apollo, or Clearbit into columns next to your HubSpot data. This side-by-side setup makes it easy to build transformation formulas and spot data quality issues.
Step 3. Create transformation formulas to standardize scoring scales.
Build formulas to convert different scoring systems to your standard scale. Useto convert ZoomInfo’s A-F grades to HubSpot’s 1-100 scale. Create similar formulas for each enrichment source.
Step 4. Combine multiple enrichment scores with weighting.
Use weighted formulas liketo create composite scores from multiple sources. This gives you more accurate lead scoring than relying on a single enrichment tool.
Step 5. Map categorical data to HubSpot dropdown values.
Transform categorical scoring into HubSpot-friendly formats using formulas like. This ensures your enrichment data fits HubSpot’s property structure.
Step 6. Export refined scores with proper field mapping.
Use Coefficient’s scheduled exports to push standardized scores back to HubSpot custom properties. Set up data validation rules to prevent mapping errors and maintain audit trails showing which transformation logic was applied.
Achieve consistent lead scoring across all sources
Start buildingThis transformation approach ensures accurate, standardized lead scoring in HubSpot regardless of enrichment tool diversity or scoring methodology.your scoring standardization system.
