The Spam reports by Category metric gives insights into the types of emails that are being reported as spam, such as content, frequency, or sender reputation. It helps identify areas for improvement in email strategies to reduce spam complaints and improve deliverability.
With Databox you can track all your metrics from various data sources in one place.
Used to show comparisons between values.
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 Spam Reports by Category using Databox, follow these steps:
The Delivered metric refers to the number of emails that have been successfully delivered to their intended recipient's inbox, as confirmed by the receiving server.
Opens by Mailbox Provider measures the number of times an email is opened by recipients grouped by their email service providers (e.g. Gmail, Yahoo, Outlook) helping to identify deliverability issues.
Opens by Country is a metric that shows the countries where your emails were opened, allowing you to track engagement and tailor your messages to specific regions.
The Clicks by Country metric shows the countries from where recipients clicked on links in your email. It helps to understand where your email recipients are geographically located and what content they engage with.
Unique clicks refer to the number of unique recipients who clicked on at least one link in an email. It's a measure of the effectiveness of an email campaign in driving engagement and generating interest.
Unique Clicks by Country is a metric that shows the number of unique clicks on links in an email campaign grouped by the country where the clicks were made.
The Blocks metric measures the number of times your emails are blocked by the recipient's email server, either due to a spam complaint or other issue.
Invalid emails by Category metric provides the number of emails that were rejected due to invalid email addresses and classifies them by the reason for invalidity such as syntax errors, non-existent domains, and more, for better insights and action.