)
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.”
Managing contact data from multiple publishing partners creates significant standardization challenges since each partner uses different location formatting conventions. HubSpot’s import process can’t handle these formatting inconsistencies, requiring external standardization before upload.
Here’s how to create unified location data standards across all partner sources.
Create unified location standards using Coefficient
CoefficientHubSpotHubSpotprovides comprehensive tools for creating unified location data standards across multiple publishing partners. Connect all partner sources, apply consistent formatting rules, then export standardized data toor.
How to make it work
Step 1. Connect multiple partner data sources.
Use Coefficient’s integration capabilities to pull contact data from all publishing partners into a centralized spreadsheet environment. This eliminates the need to handle each partner’s data separately and enables consistent processing across all sources.
Step 2. Define master location standards.
Create comprehensive formatting rules for consistent location data: state abbreviations (California → CA), country codes (United States → US), city capitalization (new york → New York), and standardized address formatting across all partner sources.
Step 3. Build partner-specific cleaning rules.
Account for each partner’s unique formatting patterns using conditional logic. Partner A might consistently use full state names, while Partner B uses mixed formats. Create lookup tables and validation rules tailored to each source’s characteristics.
Step 4. Apply automated multi-field coordination.
Ensure city, state, country, and postal code alignment across all records. Use cross-reference validation to catch inconsistencies like “Los Angeles, TX” and apply international address formatting for global partners with Canadian provinces or international regions.
Step 5. Implement quality assurance and tracking.
Set up automated quality scoring to rate standardization success for each partner source. Generate exception reports for unusual location entries requiring manual review, and maintain source tracking to identify partners with consistently problematic data formats.
Achieve unified data quality
Start standardizingThis approach creates consistent, high-quality contact data in HubSpot regardless of source formatting variations. Maintain unified location standards while accommodating multiple publishing partners and their unique data characteristics.your partner location data with Coefficient.
