With Apple’s introduction of Mail Privacy Protection (MPP) in iOS 15, the way email activity is tracked has changed—especially when it comes to open rates. If you're using PredictaMail, it’s important to understand how these changes might affect how you attribute email performance and conversions.
What is Mail Privacy Protection (MPP)?
MPP is a feature that automatically loads email images in the background—even if the recipient never opens the email themselves. This includes tracking pixels, which means an "open" might get recorded even if the person didn’t actually engage with your message.
What This Means for Your Email Metrics
1. False Opens
Because emails are preloaded, open activity from Apple Mail users may not reflect real engagement. These false opens can distort your campaign results.
2. Higher-Than-Actual Open Rates
Expect inflated open rates, especially from users on Apple devices. It becomes harder to tell who’s genuinely interested in your emails and who’s not.
3. Misleading Attribution
If you rely on open data to connect emails to purchases or site visits, your attribution model might give credit where it isn’t due—resulting in inaccurate performance insights.
How PredictaMail Helps You Stay Accurate
PredictaMail is designed with flexible tools that help you stay in control of your reporting—even in the face of privacy changes.
Filter Out Apple Privacy Opens
You can choose to ignore opens that appear to be generated by Apple’s MPP, giving you a cleaner view of actual user engagement.
Customize Your Attribution Logic
Use click-based or conversion-based attribution instead of open-based. You can also tweak lookback windows and decide whether to prioritize last-click or last-engaged email attribution.
Dive Deeper With Smart Reports
Our reports let you view trends by device or email client and assess the impact of MPP on your campaigns—so you can make better-informed decisions.
Best Practices Going Forward
Evaluate your attribution model. If a large portion of your audience uses Apple Mail, switching to click or conversion-based models can offer better accuracy.
Shift focus to more reliable metrics. Clicks, purchases, and on-site activity are stronger indicators of true engagement than opens.
Adapt to the broader privacy landscape. With third-party cookies being phased out and new link tracking protections in iOS 17, it’s more important than ever to rely on first-party data and branded links.
PredictaMail is built to help you navigate these shifts with confidence. By adjusting your attribution settings and focusing on high-quality engagement metrics, you can continue to track performance accurately—even in a privacy-first world.
Need help updating your attribution setup? Reach out to our team at support@predictamail.ai or check out the Attribution Settings Guide.