How to merge duplicate fields when importing Salesforce contacts from various systems

using Coefficient excel Add-in (500k+ users)

Merge duplicate contact fields from multiple systems using spreadsheet formulas and consolidation logic before importing to Salesforce for clean data.

salesforce to google sheets connector

“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.”

5 star rating coeff g2 badge

Salesforce ‘s native import tools don’t provide mechanisms for merging duplicate contact fields from multiple sources, requiring complex manual preprocessing to consolidate data.

Here’s how to merge duplicate contact information using spreadsheet formulas and consolidation logic before bulk import.

Merge duplicate contact fields using spreadsheet consolidation with Coefficient

Coefficient enables sophisticated data consolidation within your spreadsheet environment, letting you merge duplicate contact information before importing to Salesforce .

How to make it work

Step 1. Import all source datasets into separate sheets within the same workbook.

Use Coefficient to pull contact data from different systems into separate tabs in Google Sheets or Excel. This gives you a centralized workspace for identifying and merging duplicates.

Step 2. Use lookup formulas to identify matching contacts across sources.

Create formulas like `=VLOOKUP(A2,Sheet2!A:Z,2,FALSE)` to find matching contacts based on email addresses or other unique identifiers. Use `=INDEX(MATCH())` for more complex matching scenarios.

Step 3. Create consolidation logic to merge duplicate contact information.

Build formulas that combine data from multiple sources. For example: `=IF(ISBLANK(A2),VLOOKUP(B2,Sheet2!B:C,2,FALSE),A2)` to fill missing contact fields from alternative sources.

Step 4. Apply data quality rules to choose best values from conflicting sources.

Create conditional formulas that prioritize data sources based on reliability. Use logic like `=IF(LEN(A2)>LEN(C2),A2,C2)` to choose more complete data or timestamp-based rules for most recent information.

Step 5. Generate final contact import template with merged data.

Create a master sheet that consolidates your merging logic and produces clean, deduplicated contact records ready for Salesforce import. Include audit columns showing data source origins.

Step 6. Preview merged data before final import to Salesforce.

Use Coefficient’s preview functionality to validate your merging logic worked correctly and that consolidated contact data meets Salesforce’s field requirements.

Import clean, consolidated contact data

This systematic approach ensures your contact import contains the highest quality, most complete information possible while eliminating manual effort typically required for data consolidation. Start merging duplicate contact data efficiently.

700,000+ happy users
Get Started Now
Connect any system to Google Sheets in just seconds.
Get Started

Trusted By Over 50,000 Companies