What is Open Rate Email Segmentation?

Open rate segmentation is a fundamental email marketing strategy that groups subscribers based on how frequently they open your emails. While open rate tracking has evolved with Apple's Mail Privacy Protection (MPP), this segmentation approach remains valuable when combined with other engagement metrics to manage email frequency, list hygiene, and deliverability.

Key Components

Open rate segmentation categorizes subscribers based on:

• Historical open rates

• Open frequency patterns

• Time since last open

• Open timing preferences

• Cross-campaign opens

• Mobile vs. desktop opens

AI Applications in Open Rate Analysis

While the use of AI in open rate engagement analysis does not have as large an impact as it does directly on email engagement and behavioral segmentation, there are still a few areas it can be used to provide strong insights:

• Future open likelihood scoring

• Engagement trend prediction

• Optimal send time calculation

• Subject line performance

• List hygiene automation

Application in Retail/Ecommerce

Below are a handful of example use cases of how you can use open rate email segmentation to create effective segments for eCommerce / retail:

• Super Active (75%+ open rate): First access to sales and launches

• Active (40-75% open rate): Standard promotional emails

• Selective (10-40% open rate): Major sale announcements only

• At-Risk (1-10% open rate): Win-back campaigns

• Inactive (No opens in 90+ days): Monthly reactivation attempts

Remember that open rates should be considered alongside other engagement metrics, especially with the impact of Mail Privacy Protection. Focus on creating valuable, relevant content that encourages genuine engagement across all segments.