Understanding Email Open Rates in the Age of Apple MPP
What Is Apple Mail Privacy Protection (MPP)?
In September 2021, Apple launched Mail Privacy Protection (MPP) as part of iOS 15, macOS Monterey, and iPadOS 15. When enabled — and most Apple Mail users have it enabled — MPP:
- Pre-fetches all images in emails, including the invisible 1×1 tracking pixel that records opens
- Routes this pre-fetching through Apple's proxy servers, masking the user's real IP address and location
- Does this regardless of whether the user actually opens the email
The result: every email delivered to an Apple Mail user with MPP enabled registers as "opened" — even if it sits unread in their inbox forever.
How Widespread Is MPP?
Apple Mail is one of the most popular email clients globally:
- iOS Mail accounts for roughly 35–50% of all email opens (varies by list/industry)
- Of those, 80–90% of iOS 15+ users have MPP enabled
- This means 30–45% of your "opens" may be MPP-inflated, depending on your audience
The higher the proportion of Apple Mail users on your list, the less meaningful your raw open rate is.
Identifying MPP Inflation in AcelleMail
AcelleMail's campaign reports include client/device data where available. Look for:
- Go to your campaign report → Open Statistics → By Email Client
- Note the percentage of opens attributed to Apple Mail / iOS Mail
- If Apple Mail opens suddenly spiked after September 2021 (compared to your historical average), that delta is your MPP inflation
Calculating a corrected open rate:
Raw open rate: 55%
Apple Mail opens % of list: 40%
Actual Apple users who opened: Unknown — MPP pre-fetched for all 40%
Conservative estimate:
Non-Apple opens: 15% (these are real)
Apply historical Apple open% (from pre-MPP data): 25% of the 40% = 10%
Estimated real open rate: ~25%
This is imprecise, but it gives context. The key is recognizing that a post-2021 open rate of 55% does not mean what a 55% open rate meant in 2019.
What to Measure Instead
Since open rates are unreliable for MPP-affected audiences, shift focus to these metrics:
1. Click-to-Open Rate (CTOR)
CTOR = (Unique Clicks / Unique Opens) × 100
This ratio tells you how compelling your email content is to those who opened it. It's less affected by MPP because clicks require real human action.
2. Click Rate
Click Rate = (Unique Clicks / Emails Delivered) × 100
Clicks are not pre-fetched by MPP. A click requires the subscriber to actually open the email and interact with a link. This is the most reliable engagement metric in the post-MPP world.
3. Conversion Rate
Track downstream actions: purchases, signups, downloads. Use UTM parameters to attribute these to specific campaigns in Google Analytics.
4. Revenue per Email
Revenue per Email = Total Campaign Revenue / Emails Delivered
For e-commerce, this is the ultimate metric — it directly measures campaign profitability regardless of open tracking.
5. Unsubscribe Rate
A real behavioral signal — subscribers actively choosing to leave. Monitor this carefully as a proxy for content relevance and frequency.
Adjusting Automation Triggers
If you use open events to trigger automations (e.g., "subscriber opened email → enter follow-up sequence"), MPP will trigger these for all Apple Mail users, including those who never saw your email.
Fix: Replace open-based triggers with click-based triggers wherever possible.
In AcelleMail's automation builder:
- Instead of:
Trigger: Subscriber opened Email X - Use:
Trigger: Subscriber clicked link in Email X - Or:
Trigger: Subscriber did NOT click any link in Email X (within 5 days) → send follow-up
Segmentation Impact
List segments built on "opened in the last 90 days" now include MPP false positives. Review any segments that use open behavior as a primary condition and add a click condition as a secondary qualifier:
Segment "Engaged Subscribers":
BEFORE MPP: Last opened ≥ 1 email in 90 days
AFTER MPP: Last clicked ≥ 1 link in 90 days
OR Last opened ≥ 1 email in 90 days
AND Email client NOT Apple Mail
The Bottom Line
Open rates are not dead — they're just less precise. Use them as a directional trend (did this campaign perform better or worse than your average?) rather than an absolute measure of engagement. Build your primary reporting around click rates, conversion rates, and revenue — metrics that Apple's proxy servers cannot inflate.