When setting up a campaign using a CSV file, it’s important to link your file’s data to the variables used in your messages. This process is called field mapping, and it ensures the right information from your CSV file used in the campaign. Learn more about field mapping here
How Does Data Mapping Work?
If you’re using a CSV file, some fields may overlap with details from the contact’s LinkedIn profile. By default, the system will prioritize using the LinkedIn profile data for the following variables in your messages:
Company name
First name
Last name
Email
LinkedIn URL
Job title
If you want to use the data from your CSV file instead of the profile for these fields, you need to make some adjustments
Using Data from Your CSV
To ensure the campaign uses the data from your CSV file, follow these steps:
1. Map Your Data Correctly
During Step 2 of your campaign setup, map the data columns from your CSV to the corresponding variables
2. Choose the "_original" Variable
When creating your message, select the variable with the “_original” suffix instead of the default one.
For example: Use
{first_name_original}
instead of{first_name}
.This ensures the first name from your CSV file is used, even if it’s different from the contact’s LinkedIn profile
Example: Let’s say your CSV lists the first name as “Pam” but the LinkedIn profile says “Pamela.” If you use {first_name_original}
, your message will show “Pam”, while {first_name}
would display “Pamela”
3. Add Custom Variables for Additional Data
For fields not covered by the default variables, you can create custom variables. Learn more about custom variables here