
In Salesforce Marketing Cloud (SFMC), Data Views are system-generated tables that store detailed tracking and subscriber information. These views allow marketers and developers to extract insights from their email sends, opens, clicks, unsubscribes, and more — using SQL Query Activities in Automation Studio.
This blog by Peoplewoo Skills will help you understand what Data Views are, how to use them, and why they are essential for advanced analytics in SFMC.
What Are Data Views in Salesforce Marketing Cloud?
Data Views are predefined system tables in SFMC that store information about subscriber engagement, send activities, bounces, and more. They are not visible in the Data Extension interface but can be queried using SQL in Automation Studio or Query Studio.
Each Data View starts with an underscore ( _ ) and contains fields that provide valuable tracking data. For example, _Sent contains details about sent emails, and _Open logs each time a subscriber opens an email.
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Commonly Used Data Views in SFMC
- _Subscribers: Contains subscriber details such as SubscriberKey, Status, and Email Address.
- _Sent: Records all sent emails along with JobID, EventDate, and SubscriberKey.
- _Open: Logs every open event with EventDate and SubscriberKey.
- _Click: Tracks link click activity within emails.
- _Unsubscribe: Stores records of unsubscribed users.
- _Bounce: Contains details about soft and hard bounces.
- _Job: Stores metadata about email send definitions (JobID, EmailName, etc.).
How to Access Data Views in SFMC
You can access Data Views using SQL Query Activities in Automation Studio or Query Studio. To retrieve data, write queries referencing these views. For example:
SELECT s.SubscriberKey, s.EmailAddress, o.EventDate AS OpenDate FROM _Subscribers s JOIN _Open o ON s.SubscriberKey = o.SubscriberKey WHERE o.EventDate > DATEADD(day, -7, GETDATE()) This query retrieves all subscribers who opened an email in the last 7 days.
Use Cases of Data Views
- Engagement Reporting: Track opens, clicks, and bounces.
- Journey Optimization: Identify inactive subscribers and target them with re-engagement journeys.
- Deliverability Analysis: Monitor bounce rates and unsubscribe trends.
- Custom Dashboards: Build custom reports by combining multiple data views.
Best Practices for Using Data Views
- Always filter results using date ranges to avoid large data pulls.
- Use JOIN statements to combine views efficiently.
- Export summarized data to Data Extensions for easier reporting.
- Schedule automation for regular data refreshes.
- Follow data retention policies — most data views retain data for 6 months.
Example Use Case: Find Inactive Subscribers
The following query identifies subscribers who haven’t opened any emails in the past 90 days:
SELECT s.SubscriberKey, s.EmailAddressFROM _Subscribers s LEFT JOIN _Open o ON s.SubscriberKey = o.SubscriberKey WHERE o.SubscriberKey IS NULL OR o.EventDate < DATEADD(day, -90, GETDATE()) You can use this output to create reactivation campaigns or suppression lists.
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Conclusion
Data Views in Salesforce Marketing Cloud are powerful tools for marketers and developers who want to track engagement, optimize campaigns, and build actionable insights. By leveraging SQL queries and automation, you can unlock a deeper understanding of your subscribers and marketing performance.
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