Why there are unverifiable emails (yellow) in my results?

SalesQL uses multiple mechanisms to try to determine if an email is valid or not, some of these mechanisms include:

  • Talking to the email server to ask if the email is a valid recipient or not
  • Checking if the email address is publicly available on any trusted website (for example, in the company's website)
  • Checking if the email address is listed in the Linkedin profile

None of these methods are 100% accurate, people are often switching from positions and switching from one email to another, so SalesQL combines all these methods and performs periodic checks to see if the emails are still valid.

When an email address is unverifiable?

Some companies prefer to accept all emails that are sent to the company domain, and if the recipient mailbox does not exist, they redirect the email to a generic mailbox, as [email protected]

Other companies use these "accept all" policies to protect the email server so in the communication with the email server they first say the email is valid, but after delivering the email, it bounces back, this an example from Google:

google.com has an "accept all" policy.

There are multiple services for validating emails, they do the same kind of validation SalesQL do, some of them are:

All these services include this "accept all" state when the email server is basically saying that all emails are valid, so there is no way to determine if it's valid or not.

Do SalesQL charges credits for unverifiable emails?

No, SalesQL only charges credits if it's able to find at least one valid email. We do not charge credits in contacts when the only email available is an unverifiable email. For more information check the article: How credits are consumed.

Where these unverified emails are coming from?

When we have emails that are valid from other sources, we can calculate what's the possibility of an email for having a certain pattern.

For example, if we analyze the patterns for "accenture.com", we can see that valid emails that are coming from other sources have these patterns:

71% are using the pattern [FIRST_NAME].[LAST_NAME]@accenture.com.

4% are using the pattern [FIRST_NAME_INITIAL].[LAST_NAME]@accenture.com

25% are using other various patterns

So if we are not able to find a valid source for a certain person working in Accenture, we try to make our best guess using the pattern [FIRST_NAME].[LAST_NAME]@accenture.com which is valid in most of the cases.

How to reduce the percentage of email bounces?

In order to reduce email bounces, you can filter out emails that are unverifiable and export only emails that are valid, this is a new option in the export settings:

Unchecking that box will only export emails that are considered valid and reduce the bounce rates to the minimum.

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