Adapt your B2B email strategy post-Apple’s privacy updates: Discover key metrics for measuring true engagement and campaign success.

The landscape of email marketing, particularly in the B2B domain, has encountered a significant shift due to recent privacy changes, especially with Apple’s Mail Privacy Protection (MPP). This article delves into how businesses can effectively measure the success of their B2B email campaigns in this new environment, highlighting key metrics to focus on beyond traditional open rates.

The Impact of Apple’s Privacy Changes on Open Rates

Apple’s MPP, introduced in 2021, essentially stops senders from using invisible pixels to collect information about the recipient. This means that email marketers can no longer reliably track open rates, as Apple pre-loads emails, making it appear as if they have been opened regardless of whether the recipient has actually viewed them. This change disrupts a long-standing metric in email marketing, pushing marketers to rethink their measurement strategies.

Key Metrics to Focus On

  1. Click-Through Rates (CTR): With open rates becoming unreliable, CTR emerges as a more accurate indicator of engagement. It measures the percentage of email recipients who clicked on one or more links contained in an email and is a direct indicator of the effectiveness of your message and call-to-action.
  2. Conversion Rates: Ultimately, the goal of most email campaigns is to drive action. Conversion rates, which track the percentage of recipients who completed a desired action (like filling out a form or making a purchase), provide a concrete measure of this.
  3. Email Bounce Rates: This metric tracks the percentage of your sent emails that weren’t successfully delivered. A high bounce rate can indicate problems with your email list quality or deliverability issues, which are crucial to address for campaign success.
  4. List Growth Rate: This measures the rate at which your email list is growing. Healthy list growth is a good indicator of the overall appeal and relevance of your content.
  5. Forward Rate/Email Sharing: This tracks how often your email is being forwarded or shared, indicating the value and relevance of your content to the audience.
  6. Engagement Over Time: Look at how engagement with your emails changes over time. Are subscribers staying engaged, or is there a drop-off after a few emails?

Strategies for Effective Measurement Post-Apple’s Privacy Changes

  1. Focus on Holistic Email Engagement: Instead of relying solely on open rates, look at the overall engagement pattern of your emails, including clicks, forwards, and social shares.
  2. Segment Your Email List: Segment your list based on behavior and engagement. This allows for more targeted and relevant emails, which can lead to better engagement and conversion metrics.
  3. A/B Testing: Continuously test different aspects of your emails, including subject lines, content, and calls-to-action, to see what resonates best with your audience and drives engagement.
  4. Leverage Integrated Analytics: Use advanced analytics tools that integrate with your CRM or sales platform to track how email interactions lead to conversions and sales.
  5. Encourage Action: Design your emails to encourage interaction, such as clicking through to read a blog post, watching a video, or downloading a resource. This action-oriented approach can provide more tangible engagement metrics.


The changes brought about by Apple’s privacy updates compel a shift in how B2B marketers measure email campaign success. By focusing on metrics that accurately reflect user engagement and intent, like CTR, conversion rates, and list growth, marketers can gain a more comprehensive understanding of their campaign’s effectiveness. This shift requires a more nuanced approach but ultimately leads to a deeper and more authentic connection with the audience, driving meaningful business outcomes.

Emily AInetic

Emily AInetic, a cutting-edge AI-powered email marketing maestro, specializes in crafting hyper-personalized campaigns that resonate with audiences and drive e-commerce growth. Harnessing the latest in machine learning, Emily analyzes consumer data to develop highly targeted content strategies, ensuring each email not only reaches the inbox but also engages and converts.