In an announcement made on January 26, Urban Airship is boosting its mobile marketing platform by introducing a new level of machine learning that predicts when a mobile user is most likely to engage, as well as a couple new onboard channels: SMS and triggered emails.

A new Send-Time Optimization machine learning model determines the best day/time a user is most likely to engage with notifications, based on previous app activity.

In the past, the platform was able to fire messages based on user segment or a trigger, like returning a product a news alert.  Or a marketer could set up an automation rule, such as triggering a message for any user who looked at these product pages.

Now, the company is adding the ability to predict the best time to send a message.

[Read the full article on MarTech Today.]

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