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How to Check the Permanent Failure Rate of Emails Sent from Salesforce

Publiseringsdato: Apr 22, 2026
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Permanent Failure Rate (PFR) measures the percentage of emails that permanently fail to deliver due to invalid addresses. High PFR (above 1%) damages your sender reputation and can affect deliverability for all users.

As a best practice for email deliverability, System Administrators should keep the PFR of all delivered emails from their environment at or below 1%. This helps protect your deliverability and IP reputation.

If you are requesting an increase to the Daily Single Email Message or Daily Mass Email limit for your organization, an administrator may be asked to monitor or improve the failure rate using your organization's email logs. Read on to learn how to obtain your organization's PFR.

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Step 1: Extract Email Logs

Extract the email logs for the organization for which you want to obtain the PFR, then open the log file in a spreadsheet application.

Step 2: Identify Permanent Failures

  1. Select "Column C - Mail Event". You can sort this column alphabetically or apply a filter to make the data easier to interpret.
  2. In "Column C - Mail Event", identify the total number of entries marked with a "P" (Permanent Failure).
  3. In "Column C - Mail Event", identify the total number of entries marked with an "R" (Received).

Step 3: Calculate PFR :

Use the following formula to calculate your PFR:
(P / R) × 100
 
Example:
If 150 of your emails are marked with a "P" and 20,000 emails are marked with an "R", your Permanent Failure Rate is (150 / 20,000) × 100 = 0.75%.
 
It is recommended to keep this percentage at or below 1% over a 30-day timeframe. If your Permanent Failure Rate exceeds 1%, this can pose a risk to the trustworthiness of all emails sent through the Salesforce server and could potentially impact emails sent across all instances.

You can keep this percentage low by regularly monitoring your email logs and removing all invalid email addresses (marked with "P") from all Contacts, Leads, Users, and Apex code.

Note: 

Due to variances in email logs, the results provided by the above calculation may differ slightly from those available to Support. This is expected.
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Knowledge-artikkelnummer

000389517

 
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