The Marked Email as Spam (Unique) metric measures the number of times your email campaign was flagged as spam by recipients. This is important to monitor as too many spam complaints can negatively impact your sender reputation and deliverability.
With Databox you can track all your metrics from various data sources in one place.
Used to show a simple Metric or to draw attention to one key number.
Databox is a business analytics software that allows you to track and visualize your most important metrics from any data source in one centralized platform.
To track Marked Email as Spam (Unique) using Databox, follow these steps:
Bounced Email metric measures the number or percentage of emails that were not delivered successfully to the recipient's inbox due to factors like an invalid email address, full mailbox, or the recipient's server blocking the email.
The Bounced Email by Campaign Name (Unique) metric tracks the number of email campaign messages that were not delivered to recipients due to invalid email addresses or other issues, grouped by specific campaign names for analysis and optimization.
The Received Email metric represents the number of emails delivered to the recipients' inbox and is an important measure of the success of an email campaign.
The Received Email by Flow Id metric measures the number of emails received by recipients who entered a specific flow.
The "Marked as Spam" metric measures the number of times your email campaign was flagged as spam by recipients. This is important to monitor as too many spam complaints can negatively impact your sender reputation and deliverability.
The Received SMS by Message Id metric tracks the number of SMS messages received by subscribers for a specific message id in Klaviyo.
The Subscribed to List by List (Unique) metric measures the number of unique subscribers who have opted-in to a specific list in Klaviyo.
The Clicked Email to Unsubscribe by Flow Id metric in Klaviyo tracks the number of people who unsubscribed specifically as a result of a flow email within a given time period.