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SendGrid Blocks by Category

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.

With Databox you can track all your metrics from various data sources in one place.

Blocks by Category 2.190,879 Start tracking this metric
  • About
  • Technical Details
What is "Blocks by Category"?
The Blocks by Category metric tracks the type of block a particular email has received, such as spam or content blocks, allowing you to identify and address any potential issues with your email content or sending practices. This data can help you improve your email deliverability rates and ensure that your messages are reaching their intended recipients.
Example: Blocks by Category metric can help a company identify which types of emails are being marked as spam, so they can adjust their email campaign accordingly to improve deliverability.

Visualizations

  • Databox visualization

    Bar and Line Chart

    Used to show comparisons between values.

How to track Blocks by Category in Databox?

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 Blocks by Category using Databox, follow these steps:

  1. 1
    Connect SendGrid that contains the metric you want to track
  2. 2
    Select the metric you want to track from the list of available metrics
  3. 3
    Drag and drop the selected metric onto your dashboard
  4. 4
    Watch your dashboard populate in seconds
  5. 5
    Put Blocks by Category on the Performance screen
  6. 6
    Get Blocks by Category performance daily with Scorecards or as a weekly digest
  7. 7
    Set Goals to track and improve performance of Blocks by Category
SendGrid integration with Databox Track Blocks by Category from SendGrid in Databox GET STARTED

General

  • Description
    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.
  • Category
    Email
  • Subcategory
    Emails undelivered
  • Date Added
    2015-04-28

Specification

  • Metric Type
    general
  • Dimensional
    Yes
  • Decimal Digits
    No
  • Currency Units
    No
  • Granularities
    Daily, weekly, monthly, quarterly and yearly.
  • Custom Relative Periods
    Yes
  • Data Availability
    At sync, it ranges from 13 months ago midnight + 2 days to today 24:00.
  • Retroactive Data Updates
    Newly synced data is merged with existing data, replacing values for matching periods.
  • Future Data Available
    No

Visualization

  • Cumulative Graph
    Yes
  • Favorable Trend
    decreasing
  • Media Creatives
    No
  • Forecasts
    Yes
  • Benchmarks
    No

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