Upload a Blacklist

If you currently do not utilize Salesforce Enterprise, Salesforce Professional with API add-on, Salesforce Unlimited but want to ensure that we don’t duplicate your lead generation or outreach efforts you are able to upload a CSV of contact’s email address’ to be blacklisted. When uploading this list, you are able to determine whether you’d like to blacklist the exact contact or the contact and their company. 

Step 1: Login into your Growlabs account, go to your Account tab and select the Sync CRM & Blacklists tab 

Step 2: Push upload CSV and select your blacklist. You can choose to blacklist "Listed Contacts Only" or "Contacts and their Companies"

If you choose "Contacts and their Companies" it will blacklist the entire domain. 

You can now select what happens when leads in your blacklist match a lead that already exists in your Growlabs account. Options include:

Move to Stopped- Blacklisted, which will move your existing Growlabs leads that match to an email address in your blacklist to a Stopped- Blacklisted state. This means no additional emails can be sent to that lead.

Stay in Nurturing, which will keep all of your existing Growlabs leads that match to an email address in your blacklist in a nurturing state.

Pro Tip: Make sure your CSV only contains one column of email address'. This column must also be titled Email (case and space sensitive). 

Step 3: Once you refresh your page, a green '✓' symbol will be next to your blacklist symbolizing it was successfully uploaded.

Frequently Asked Questions

I keep getting an error message when I try to upload my blacklist, why? 

  • Document formatting may not be CSV
  • There may be more than one column in the document 
  • Double check to make sure the email column is titled as Email

Can I delete a blacklist once it has been added?
Yes, at anytime you can delete a blacklist. 

Is there a row limit in the CSV?
We recommend uploading a list of no larger than 60,000 rows. If you have a CSV with more than 60,000 rows, please break it up into additional CSVs. 

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