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Automated Email Statistics

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Written by Ondřej Průša
Updated over a week ago

This article describes the statistics and metrics for monitoring the performance of automated emails sent to customers. You'll find information on how to interpret delivery, open, and click-through data for your emails.

Email Statistics Overview

The email statistics section provides a comprehensive overview of your automated email performance over the past 30 days. Key metrics displayed include:

Metric

Description

Delivered Emails

Percentage and count of emails successfully delivered to customers

Opened Emails

Percentage and count of emails opened by recipients

Clicked Emails

Percentage and count of emails where recipients clicked on links

Failed to Deliver Emails

Percentage and count of emails that failed to be delivered

Detailed Statistics by Email Type

For each type of automated email, you can track statistics in these categories:

Delivery Statistics

  • Monitor overall email deliverability rates

  • Review delivery success by message type

  • Identify potential delivery issues

  • Track deliverability trends over time

Open Statistics

  • Track open rates for different email types

  • Analyze subject line and send time effectiveness

  • Compare the success of different message types

Click-Through Statistics

  • Measure recipient interaction with links in emails

  • Monitor the effectiveness of calls to action

  • Analyze the most successful content types

Data Interpretation

Deliverability

The deliverability overview provides statistics for different email types:

  • Order confirmation and delivery scheduling

  • In-transit package updates

  • Ready-to-pickup notifications

  • Pickup reminders

  • Final pickup reminders

Engagement

To track customer engagement, the system measures:

  • Ratio of opens to clicks

  • Time trends in email openings

  • Success rates for individual email types

  • Effectiveness of different communication scenarios

Using the Statistics

Best Practices for Working with Statistics

  • Regularly review statistics for all email types

  • Track trends and changes in numbers over time

  • Identify the most successful and problematic emails

  • Use the data to optimize your communication

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