Send-Time Optimization

Adobe Journey Optimizer’s Send-Time Optimization feature, powered by Adobe’s AI services, can predict the best time to send an email or push message to maximize engagement based on historical open and click rates. Use our machine-learning model to schedule personalized send times for each user to grow the open and click rates of your messages.

The Send-Time Optimization model ingests your Adobe Journey Optimizer data and looks at user-level open (for email and push) and click (for email) rates to determine when your customers are most likely to engage with your messaging. Send-Time Optimization requires a minimum of one month of message-tracking data to make informed recommendations. For each user, the system will automatically pick the best time using the following scores:

  • The best hour of each day of the week to maximize engagement
  • The best day of the week to maximize engagement
  • The best hour of the best day of the week to maximize engagement

The model varies whether you are talking about scoring or training. Training is conducted weekly initially and then quarterly. Scoring is weekly initially and then monthly.

  • Training - the development of the algorithm used to make the score
  • Scoring - the application of a score to individual profiles based on the trained model

This information is stored with the user’s profile and is referenced at journey execution to tell Adobe Journey Optimizer when to send your message.


This feature is not compatible with burst mode.

Activate Send-Time Optimization

Enable Send-Time Optimization on an email or push message by selecting the Send-Time Optimization switch from the activity parameters.

For email messages, choose whether to optimize on email opens or email click-throughs by selecting the appropriate radio button. Push messages defaults to the opens option, as clicks are not applicable for push messaging.

You can also choose to bracket the send times used by the system by entering a value for the Send within the next option. If you choose “six hours” as the value, Journey Optimizer will check each user profile and pick the optimal send time within six hours from the journey execution time.

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