Salesforce Learning
🔹 What Are Data Views?
You can think of Data Views as SFMC’s internal tracking database.
Every time an email is sent, opened, clicked, or bounced — SFMC quietly logs it into these system tables.
You can use SQL Query Activities in Automation Studio to pull data from them and answer questions like:
Who opened my last 3 campaigns?
Which subscribers clicked but never converted?
Which email subject lines performed best?
📊 The 7 Most Useful Data Views
1️⃣ _Sent – Emails That Were Sent
Stores details of every email sent to your subscribers.
Example Use Case:
👉 Find all emails sent in the past week for performance tracking.
Sample SQL:
SELECT
SubscriberKey,
JobID,
EventDate AS SentDate
FROM _Sent
WHERE EventDate >= DATEADD(day, -7, GETDATE())
Why it matters: Helps you analyze delivery trends and connect with other views (_Open, _Click) to measure performance.
2️⃣ _Open – Emails That Were Opened
Logs every open event — who opened and when.
Example Use Case:
👉 Find subscribers who opened any email in the last 30 days.
SELECT DISTINCT SubscriberKey
FROM _Open
WHERE EventDate >= DATEADD(day, -30, GETDATE())
Why it matters: Great for identifying active subscribers or creating re-engagement journeys.
3️⃣ _Click – Links That Were Clicked
Captures every link click in your emails.
Example Use Case:
👉 Find subscribers who clicked on your “Buy Now” or “Learn More” link.
SELECT SubscriberKey, URL
FROM _Click
WHERE URL LIKE '%buy-now%'
Why it matters: Tells you what your audience is actually interested in and which CTAs are performing best.
4️⃣ _Bounce – Emails That Failed to Deliver
Tracks every bounce with reason codes and timestamps.
Example Use Case:
👉 Identify all hard bounces from your last campaign.
SELECT SubscriberKey, BounceCategory, SMTPCode
FROM _Bounce
WHERE BounceCategory = 'Hard bounce'
Why it matters: Helps maintain a clean, healthy send list and improve deliverability.
5️⃣ _Unsubscribe – Who Opted Out
Logs subscribers who clicked “unsubscribe” or opted out via preferences.
Example Use Case:
👉 Find all unsubscribes from the past month to track churn.
SELECT SubscriberKey, EventDate
FROM _Unsubscribe
WHERE EventDate >= DATEADD(day, -30, GETDATE())
Why it matters: Understand which campaigns are causing higher unsubscribes and adjust your messaging.
6️⃣ _Job – Send Job Information
Contains metadata about each send job (subject line, send date, etc.).
Example Use Case:
👉 See which subject lines got the highest open rates.
sSELECT
j.JobID,
j.EmailName,
j.EmailSubject,
COUNT(o.SubscriberKey) AS Opens
FROM _Job j
JOIN _Open o ON j.JobID = o.JobID
GROUP BY j.JobID, j.EmailName, j.EmailSubject
ORDER BY Opens DESC
Why it matters: Links your engagement metrics (_Open, _Click) to specific campaigns.
7️⃣ _Subscribers – Subscriber Information
Shows subscriber-level info like status and creation date.
Example Use Case:
👉 Find subscribers who haven’t opened any email in 90 days.
SELECT s.SubscriberKey
FROM _Subscribers s
LEFT JOIN _Open o
ON s.SubscriberKey = o.SubscriberKey
AND o.EventDate >= DATEADD(day, -90, GETDATE())
WHERE o.SubscriberKey IS NULL
AND s.Status = 'Active'
Why it matters: Helps you target inactive users and run reactivation campaigns.
Real-World Scenarios ✅
Here’s how smart marketers use Data Views daily 👇
Create engagement dashboards by joining Open, Click, and _Sent
Identify inactive subscribers for cleanup or re-engagement journeys
Track email deliverability trends using _Bounce
Measure campaign performance with Job and Open
Export Data View reports to Power BI or Tableau for visualization
🧠 Pro Tip
You can combine multiple Data Views using JOIN in SQL to build advanced reports.
For example — subscribers who clicked but never opened (yes, it happens due to image blocking):
SELECT DISTINCT c.SubscriberKey
FROM _Click c
LEFT JOIN _Open o
ON c.JobID = o.JobID
AND c.SubscriberKey = o.SubscriberKey
WHERE o.SubscriberKey IS NULL
This query reveals subscribers who engaged with your content (clicked a link) even if the open wasn’t tracked.
❤️ Final Thoughts
If you’re serious about reporting in SFMC, mastering Data Views is a must.
They give you full control of your campaign analytics — no limits, no manual exports.
Once you start using them, you’ll never look at “default tracking” the same way again.