Bounces metric measures the number of emails that were undeliverable to recipients due to permanent or temporary issues such as invalid email addresses or full mailboxes.
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 Bounces using Databox, follow these steps:
SendGrid dashboard template provides you with insights about your email delivery, open rates and click rates performance to grow your business—all in one place.
Requests metric measures the total number of API requests made to SendGrid over a given period of time, typically a day or a month.
The Opens by Device metric shows the percentage of email opens broken down by the device used by the recipient (e.g. desktop, mobile).
Unique Clicks by Category metric refers to the number of unique clicks on links within each category of your email campaign. It helps you to gauge the level of engagement with your email content and identify which categories are resonating well with your recipients.
The Bounces by Category metric categorizes bounced emails based on the reason for the bounce, such as invalid email address or mailbox full.
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.
The Blocks by Category metric categorizes the reasons for email blocks such as spam reports, invalid emails, or bounces. It helps identify patterns and improve email deliverability.
The Invalid emails metric represents the number of emails that were not delivered due to invalid or non-existent recipient email addresses.
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.