Marketing-Cloud-Advanced-Cross-Channel Practice Test

Salesforce Spring 25 Release
47 Questions

When are customers eligible to be send a message in STO (when customer will engage then its sent)

A. immediately when the STO activity arrives

B. Within the first minute of next hour.

C. with the next hour

D. At the hour user engages Within the next 24hours

C.   with the next hour

Explanation:

Send Time Optimization (STO) is an Einstein AI-powered feature in Salesforce Marketing Cloud that intelligently decides when to send an email to each individual subscriber. The goal is simple: maximize the chance of opens and clicks by sending emails at the time when each recipient is historically most likely to engage.

When a contact reaches an STO activity in Journey Builder, the system doesn’t immediately send the email. Instead, it calculates the best hour to send the email to that individual within the next 24-hour window.

Here’s how it works:

Einstein analyzes past behavior (open and click times) of each subscriber.
Based on this history, Einstein predicts the best engagement hour within the next 24 hours.
The email is then scheduled to be sent at that specific optimal hour for each subscriber.
If no historical data exists, Einstein makes the best prediction using similar subscribers or fallback settings.

Example Scenario:

A customer typically opens emails at 8 PM.
The journey reaches the STO activity at 10 AM.
Instead of sending immediately, Einstein holds the message and sends it at 8 PM (the predicted best time for engagement).

This way, STO ensures the message is sent at the hour when the customer is most likely to interact, within the next 24 hours.

❌ Why the Other Options Are Incorrect:

🚫 A. Immediately when the STO activity arrives
This is incorrect because STO deliberately delays sending until the predicted best time.
Immediate sending defeats the purpose of optimizing send time based on engagement predictions.

🚫 B. Within the first minute of next hour
Incorrect. Einstein doesn’t limit message sending to the next immediate hour. It could schedule the message several hours later, depending on the prediction, as long as it’s within the 24-hour window.

🚫 C. Within the next hour
This is also incorrect. The STO model may decide the optimal time is many hours ahead (e.g., 8 hours later).
The 24-hour window gives Einstein the flexibility to choose the best time, not just the next hour.

🛠️ How STO Helps Marketers:
Increases open rates and click-through rates.
Reduces email fatigue by avoiding poorly-timed messages.
Maximizes the return on email campaigns by ensuring customers receive messages when they are most likely to engage.

📖 Official Reference:
Salesforce Help: Einstein Send Time Optimization
Salesforce Trailhead Module: Optimize Email Send Times

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