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Soft Bounces
from Email Marketing
Metrics type
Result
Units of measure
Quantitative
Direction
Less - better
Check frequency
Weekly
Description
The number of emails that weren’t delivered to your recipients’ inboxes. Soft bounces typically indicate a temporary delivery issue
Why it is important
Tracking this number is crucial for identifying and resolving issues promptly. Monitoring soft bounces guides marketers in maintaining list hygiene, optimizing content and targeting strategies, and ensuring that email campaigns reach recipients' inboxes effectively.
This contributes to improved deliverability and overall campaign success.
This contributes to improved deliverability and overall campaign success.
Formula
Number of Soft Bounces
Calculation example
If, out of 800 sent emails, 30 were soft bounces, the Soft Bounces would be 30
Affected metrics
Bounces
Affecting metrics
Spam Score
Connecting metrics
n/a
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Suggested slices for dashboards
by Bounce Reason
by Email Content Category
by Sender Reputation
by Geographical Location
by Device or Email Client
by Email Content Category
by Sender Reputation
by Geographical Location
by Device or Email Client
The revenue impact pathway
Available in JetMetrics Lite only
Questions to be Answered
1. How do soft bounces differ from hard bounces, and what are the typical causes of soft bounces in email marketing?
2. What strategies can be employed to minimize the occurrence of soft bounces and improve overall email deliverability?
3. How do fluctuations in the number of soft bounces correlate with changes in email content, frequency, or audience segments?
4. Are there patterns in soft bounces that can help identify potential issues with the email infrastructure or sender reputation?
5. How can the analysis of soft bounces contribute to a more proactive approach to list management and email distribution?
6. Can the distinction between hard and soft bounces inform decisions about the urgency of addressing email delivery issues?
7. What role does the identification and resolution of soft bounces play in maintaining a positive sender reputation over time?
2. What strategies can be employed to minimize the occurrence of soft bounces and improve overall email deliverability?
3. How do fluctuations in the number of soft bounces correlate with changes in email content, frequency, or audience segments?
4. Are there patterns in soft bounces that can help identify potential issues with the email infrastructure or sender reputation?
5. How can the analysis of soft bounces contribute to a more proactive approach to list management and email distribution?
6. Can the distinction between hard and soft bounces inform decisions about the urgency of addressing email delivery issues?
7. What role does the identification and resolution of soft bounces play in maintaining a positive sender reputation over time?
Possible causes of worsening
n/a
Tactics to improve this metric
Explore in JetMetrics Lite or Ask professionals in the Community
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