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Reporting of Apple MPP activity

Learn how our platform’s automatic exclusion of MPP originated open activity transforms your email segmentation and reporting.

Updated over a week ago

Apple Mail Privacy Protection (MPP) can generate open activity that don’t always reflect a recipient intentionally opening an email. To help email marketers understand true engagement, Listrak introduced a metric to exclude MPP-originated opens and updated certain features so they no longer treat MPP opens as engagement behaviors.

💡 MPP metrics are email-only and are shown at the message level.

This update rolled out on March 1, 2026. The exact date when MPP detection/reporting begins may vary.


MPP Metrics

The platform automatically shows both the existing open metrics and the Non-MPP open metrics side-by-side to support comparison. The following dashboards include two additional columns or metrics:

  • Opens (Non-MPP) - Unique contact opens excluding opens flagged as Apple MPP.

  • Open % (Non-MPP) - Percent of opens (excluding MPP) as a portion of delivered emails.

Dashboards Impacted

  • Message Activity

  • Message History

  • Transactional Message Activity

  • Conversation Analytics

  • Conversation Activity

  • Performance Summary

  • Journey Hub Messages

Additional Metric Definitions

  • Opens - Unique contact opens (includes Apple MPP opens when detected).

  • Open % - Percent of opens as a portion of delivered emails.

  • Unique contact opens - each contact is counted once per message for opens.


Where you’ll see it in reporting

  • How the data is processed

    • MPP filtering is handled at ingestion so the Non-MPP columns are derived from the open totals minus MPP-flagged opens.

  • Historical behavior

    • Opens logged prior to March 1, 2026 remain unchanged.

    • Existing Last Opened Date values based on historical activity will persist until a new non-MPP open occurs and updates the field.

  • What doesn’t change

    • Historical open engagement remain stored/visible as they were.

    • Historical reporting for Opens / Open % remains unchanged.

    • For time ranges prior to MPP detection being applied, Opens (Non-MPP) and Open % (Non-MPP) may mirror the existing open metrics.

  • Downstream feature changes

    • MPP opens no longer count as engagement.

    • Going forward, open activity flagged as MPP-originated will not update or trigger the following:

      • Last Opened Date (contact profile / segmentation fields)

        • Before: Any open activity could update Last Opened Date.

        • After (starting March 1, 2026): Only non-MPP opens will update Last Opened Date.

    • MPP opens are excluded only when the open activity is flagged as MPP-originated.

    • An open in another email client by a contact already recorded as an MPP open in Apple Mail will be recorded as a new open activity and reported as Non-MPP numbers.

    • If a portion of your opens were driven by Apple MPP, Open % (Non-MPP) your open rate will be lower because it excludes opens that may not represent true recipient engagement.

  • Segmentation based on opens

    • Criteria like Has Opened X Email will exclude MPP opens going forward.

    • Expect audiences that rely on opened activity, to decline gradually over time as MPP opens stop qualifying contacts.

    • Any segmentation or automation relying on opens (e.g., Has Opened X Email, or resend to non-openers) will be affected going forward because MPP opens no longer qualify as opens in those systems.

  • Open Metrics

    • Use Open % (Non-MPP) when you want the best estimate of true engagement.

      • Keep using Open % when you want continuity with historical reporting and benchmarks.

  • Send Time Optimization (STO)

    • MPP opens will not contribute to STO learning and optimization going forward because they are not a reliable source of real engagement.

  • Multi-pass resend to non-openers

    • Contacts who only registered an MPP open may now be treated as non-openers (because that MPP open is excluded), and may become eligible for resend logic depending on your setup.

  • Predictive models based on open likelihood

    • Predictive modeling that uses open activity as input will exclude MPP opens going forward.


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