We know very well that those who work in marketing have ambitious goals , little time and a lot of activities to accomplish. How many marketers regularly perform the precise task of checking and managing bounced emails? Not a lot (which is understandable), given the burden and complexity of the issue. To improve this crucial stage of the funnel, the sending platform must therefore ensure that it manages these bounces . Not only in terms of classification and reporting, but on a much more proactive level also in terms of problem solving . It is precisely for this reason that MailUp has for some time introduced automatic algorithms capable of identifying email addresses that generate delivery problems.
And that's not all: these addresses are automatically unsubscribed from the sending database, in order to avoid malicious blocks for the rest of the campaign. But that wasn't enough for us. Over the past few months, we've been working hard to improve the algorithms responsible for handling bounces, adding many more handled cases. A real temporary subscription system allows our customers to approach 100% deliverability , without having to risk losing E-Commerce Photo Editing Service recipients prematurely. Compared to the past, our next generation algorithms today take into account a greater number of variables to calculate when to move a recipient to temporary unsubscribe, where the recipient will remain for a duration related to the type of bounce and the number of times the bounce events occur. This intelligent and flexible calculation allows the management of bounces to be adapted to each individual case, ensuring that contact lists are almost always clean and efficient .
Managing bounces the smart way: a practical example A few months ago, a well-known Italian service provider reported issues that were preventing all incoming messages from being delivered within acceptable timeframes. The problem was not only detected by MailUp, but by the entire community of email service providers. Indeed, this problem severely limited the number of messages delivered and forced us to generate the bounce after a few days, in accordance with our policy. Here's what the delivery and bounce trends looked like over the period in question for a user who was not yet included in the rollout of the new algorithms: