About the number or rate of bounces

The number of bounces is part of the data to be tracked in order to measure the effectiveness of your newsletter. You can access this information in the "Invalids (bounces)" column in the "Last sent items" section of your dashboard and in more detail in the details page of your newsletter. We will see how to interpret and improve these statistics.

What does the number or rate of bounces mean?

This data is accessible in the "Bounce Details" section of the internal page of a newsletter. It allows you to evaluate if your email is received by your contacts. It adds up the number of emails not received when your newsletter was sent. 

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Our platform distinguishes 3 types of bounces:

Hard bounce: the email does not exist or no longer exists.

Soft bounce: the email is temporarily unavailable

Blocked: we decided to block the email upstream to avoid impacting the overall deliverability of your newsletter.
If only one piece of information needs to be retained: a low bounce number or bounce rate means that the contact base is healthy and the newsletters are delivered without any problems.

How do you keep the bounce rate low?

We have previously seen several different types of bounce. In order to maintain a low bounce rate, we can act on e-mails that do not exist or no longer exist and those that are blocked.

Hard bounce: set up a double opt-in system to avoid errors during registration (example: a spelling mistake in the email)

Blocked: monitor blocked emails regularly and remove them from your contact base. Check the "Show bounce" box in the "Search" section of the "Contacts" page. By clicking on the contact it will be possible to modify this information, reactivate it or delete it permanently.

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We have just seen together the definition of the number or rate of bounces and the actions to maintain a low rate.
PS:
It is important to know that we only count active contacts within the limits of our packages. Blocked contacts are not taken into account. Aren't we nice?

 

To go further

For more information on the analysis of newsletter data, we invite you to consult the Statistics section or one of the following articles:

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