▶ Watch related videos on YouTube — Search results for: Optimizing Einstein Send Time Optimization for High Frequency Senders

Understanding Einstein STO

Einstein STO uses a personalized model for each contact who has opened at least one email within the last 90 days. For contacts without a personalized model, Einstein distributes the send times of their emails in line with the probability scores seen in the graph.

By analyzing the data in the Einstein STO dashboard, senders can determine the best approach for their high frequency sends. If the scores are very similar for the highest hours, Einstein will randomize between the top three hours.

Optimizing Einstein STO for High Frequency Senders

The root cause of the issue is the lack of randomization in send times for contacts with a personalized model, leading to multiple emails being sent at the same time.

To optimize Einstein STO for high frequency senders, it’s recommended to use the analytics in the dashboard to sense-check the week as a whole and randomize send times across the top 3 hours with the highest likelihood scores.

example-code

Example code snippet to illustrate the concept of randomizing send times

Additionally, adding a wait step after STO and delaying some sending by 30 minutes to an hour can help prevent multiple emails from landing in a subscriber’s inbox at the same time.

Heads up: It’s essential to monitor the performance of Einstein STO and adjust the strategy as needed to ensure optimal results.

Best Practices for Implementing Einstein STO

Checklist for Implementing Einstein STO

• Analyze the data in the Einstein STO dashboard to determine the best approach for high frequency sends
• Randomize send times across the top 3 hours with the highest likelihood scores
• Add a wait step after STO and delay some sending by 30 minutes to an hour
• Monitor the performance of Einstein STO and adjust the strategy as needed
• Use the analytics in the Einstein STO dashboard to sense-check the week as a whole
• Consider constraining sends to 24 hours to prevent two emails landing in the inbox at the same day and time

What is Einstein Send Time Optimization?

Einstein Send Time Optimization is a feature in Salesforce Marketing Cloud that uses machine learning to determine the best time to send emails to subscribers.

How does Einstein STO work for contacts without a personalized model?

For contacts without a personalized model, Einstein distributes the send times of their emails in line with the probability scores seen in the graph.

Can I use Einstein STO for high frequency sends?

Yes, Einstein STO can be used for high frequency sends, but it’s essential to optimize it to prevent multiple emails from landing in a subscriber’s inbox at the same time.

How do I optimize Einstein STO for high frequency senders?

To optimize Einstein STO for high frequency senders, use the analytics in the dashboard to sense-check the week as a whole and randomize send times across the top 3 hours with the highest likelihood scores.

What are the benefits of using Einstein STO?

The benefits of using Einstein STO include increased open rates, improved subscriber engagement, and enhanced overall email marketing performance.