{"id":7840,"date":"2026-03-25T04:11:50","date_gmt":"2026-03-25T04:11:50","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/apple-mail-privacy\/"},"modified":"2026-03-25T04:11:50","modified_gmt":"2026-03-25T04:11:50","slug":"apple-mail-privacy","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/apple-mail-privacy\/","title":{"rendered":"Apple Mail Privacy: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Email Marketing"},"content":{"rendered":"\n

Apple Mail Privacy is a set of privacy behaviors in Apple\u2019s Mail app that limits how much senders can learn about an email recipient\u2019s activity\u2014especially whether, when, and where an email was opened. In Direct & Retention Marketing<\/strong>, this matters because email has long relied on \u201copens\u201d and related signals to trigger automations, measure engagement, and optimize lifecycle journeys. When those signals become less reliable, strategy and measurement must evolve.<\/p>\n\n\n\n

In Email Marketing<\/strong>, Apple Mail Privacy most noticeably disrupts open tracking and location\/IP-based insights. But its impact goes beyond a single metric: it changes how teams define engaged audiences, how they attribute revenue, and how they maintain list health. Understanding Apple Mail Privacy is now a core competency for modern Direct & Retention Marketing<\/strong> programs that want both performance and trust.<\/p>\n\n\n\n

What Is Apple Mail Privacy?<\/h2>\n\n\n\n

Apple Mail Privacy refers to privacy measures that reduce tracking capabilities for emails read in Apple\u2019s Mail app. In practical terms, it can prevent marketers from accurately using tracking pixels to infer an open event, the recipient\u2019s IP address, or their approximate location.<\/p>\n\n\n\n

The core concept is simple: the email client, not the marketer, controls what data is exposed when an email is viewed. That shifts power toward the recipient and away from invisible tracking mechanisms.<\/p>\n\n\n\n

From a business perspective, Apple Mail Privacy changes how companies:\n– assess audience engagement\n– trigger behavior-based workflows\n– report campaign performance\n– make decisions about deliverability and list management<\/p>\n\n\n\n

Within Direct & Retention Marketing<\/strong>, Apple Mail Privacy sits at the intersection of privacy governance, analytics, and lifecycle operations. Inside Email Marketing<\/strong>, it directly influences how engagement is measured and how automations are designed.<\/p>\n\n\n\n

Why Apple Mail Privacy Matters in Direct & Retention Marketing<\/h2>\n\n\n\n

Apple Mail Privacy matters because it weakens one of the most widely used signals in lifecycle marketing: the open. Many Direct & Retention Marketing<\/strong> teams historically used open rate as a proxy for interest, inbox placement, creative effectiveness, and list quality. When opens become noisy, those inferences can be wrong.<\/p>\n\n\n\n

Strategically, the change pushes programs to mature. Teams that adapt well can gain a competitive advantage by building measurement frameworks that rely on stronger indicators\u2014clicks, conversions, on-site behavior, and first-party events\u2014rather than fragile pixel-based signals.<\/p>\n\n\n\n

Business outcomes affected by Apple Mail Privacy often include:\n– less reliable engagement segmentation (for example, \u201copened in last 30 days\u201d)\n– automations misfiring (for example, \u201cif opened, send follow-up\u201d)\n– inflated or distorted reporting (for example, sudden open-rate jumps)\n– list hygiene risks (for example, suppressing \u201cunengaged\u201d users inaccurately)<\/p>\n\n\n\n

For Email Marketing<\/strong>, the practical bottom line is that optimization must shift from \u201cchasing opens\u201d to improving measurable value: qualified traffic, purchases, retention, and customer experience.<\/p>\n\n\n\n

How Apple Mail Privacy Works<\/h2>\n\n\n\n

Apple Mail Privacy is more about operational impact than a marketer-controlled workflow, but you can understand it through what happens during an email view.<\/p>\n\n\n\n

    \n
  1. \n

    Input \/ trigger<\/strong>\n A marketer sends an email that contains tracking elements (commonly a tiny image used to register an \u201copen\u201d when loaded) plus links for click tracking.<\/p>\n<\/li>\n

  2. \n

    Processing<\/strong>\n When the recipient uses Apple\u2019s Mail app with privacy features enabled, the client may retrieve remote content in a way that reduces the sender\u2019s ability to observe the recipient directly. The sender may no longer see the recipient\u2019s real IP address, and the timing of content retrieval may not correspond to a true human open.<\/p>\n<\/li>\n

  3. \n

    Execution \/ application<\/strong>\n The email service provider records events it can detect (delivered, bounced, clicked). However, \u201copen\u201d events may be triggered in a manner that\u2019s detached from actual reading behavior.<\/p>\n<\/li>\n

  4. \n

    Output \/ outcome<\/strong>\n Reported open rates can rise, time-of-open analysis becomes unreliable, and location-based reporting becomes less meaningful. In Direct & Retention Marketing<\/strong>, any automation that depends on opens may behave unpredictably unless redesigned.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

    This is why Apple Mail Privacy is often described as changing measurement validity<\/em> more than it changes sending mechanics.<\/p>\n\n\n\n

    Key Components of Apple Mail Privacy<\/h2>\n\n\n\n

    Apple Mail Privacy impacts several interconnected components of an Email Marketing<\/strong> program:<\/p>\n\n\n\n

    Tracking mechanics<\/h3>\n\n\n\n
      \n
    • Tracking pixels (remote images)<\/strong> used to infer opens become less dependable.<\/li>\n
    • IP address visibility<\/strong> can be reduced, affecting geo and device inference.<\/li>\n<\/ul>\n\n\n\n

      Data model and analytics<\/h3>\n\n\n\n
        \n
      • Engagement scoring models that overweight opens need recalibration.<\/li>\n
      • Cohort reporting based on \u201copened\u201d status becomes less accurate.<\/li>\n<\/ul>\n\n\n\n

        Automation and lifecycle design<\/h3>\n\n\n\n
          \n
        • Drips, win-backs, and re-engagement flows triggered by opens need alternative triggers (clicks, site events, purchases, in-app activity).<\/li>\n<\/ul>\n\n\n\n

          Deliverability and list management<\/h3>\n\n\n\n
            \n
          • List cleaning rules such as \u201cremove users who haven\u2019t opened in 90 days\u201d can mistakenly target active readers who don\u2019t produce reliable open signals under Apple Mail Privacy.<\/li>\n<\/ul>\n\n\n\n

            Governance and responsibilities<\/h3>\n\n\n\n

            In Direct & Retention Marketing<\/strong>, successful adaptation typically requires collaboration:\n– lifecycle marketers adjust journeys and segmentation logic\n– analysts update dashboards, definitions, and trend annotations\n– developers\/ops ensure first-party events and tracking parameters are consistent\n– privacy\/legal ensure measurement practices remain compliant and transparent<\/p>\n\n\n\n

            Types of Apple Mail Privacy<\/h2>\n\n\n\n

            Apple Mail Privacy isn\u2019t usually discussed in \u201ctypes\u201d like a taxonomy, but there are practical distinctions that matter in real programs:<\/p>\n\n\n\n

            1) Recipients affected vs not affected<\/h3>\n\n\n\n
              \n
            • Affected:<\/strong> people reading in Apple\u2019s Mail app with privacy protections enabled.<\/li>\n
            • Not affected (or less affected):<\/strong> recipients using other email clients or configurations where open tracking behaves more traditionally.<\/li>\n<\/ul>\n\n\n\n

              2) Measurement impacted vs still reliable<\/h3>\n\n\n\n
                \n
              • Impacted:<\/strong> open rate, open time, IP-based location, some device inference.<\/li>\n
              • More reliable:<\/strong> clicks, conversions, replies, unsubscribes, spam complaints, and first-party events (purchases, sign-ins) when properly implemented.<\/li>\n<\/ul>\n\n\n\n

                3) Use cases most disrupted<\/h3>\n\n\n\n
                  \n
                • High disruption:<\/strong> open-triggered flows, \u201cengaged audience\u201d definitions based on opens, send-time optimization based on open time.<\/li>\n
                • Lower disruption:<\/strong> conversion-led programs, content that drives clicks, retention journeys tied to product usage events.<\/li>\n<\/ul>\n\n\n\n

                  These distinctions help Email Marketing<\/strong> teams decide where to invest effort first.<\/p>\n\n\n\n

                  Real-World Examples of Apple Mail Privacy<\/h2>\n\n\n\n

                  Example 1: E-commerce post-purchase cross-sell<\/h3>\n\n\n\n

                  A retailer uses Direct & Retention Marketing<\/strong> automation: \u201cIf the customer opens the receipt email, send a cross-sell offer 2 days later.\u201d After Apple Mail Privacy, many opens are recorded regardless of true reading behavior, causing follow-ups to send too broadly.<\/p>\n\n\n\n

                  Adaptation:<\/strong> Replace the open trigger with stronger intent signals:\n– clicked a product recommendation\n– viewed a category page (first-party event)\n– purchased complementary items within X days\nThis keeps Email Marketing<\/strong> targeting relevant and reduces fatigue.<\/p>\n\n\n\n

                  Example 2: B2B SaaS trial onboarding<\/h3>\n\n\n\n

                  A SaaS team previously scored leads based on onboarding email opens to decide when sales should reach out. Apple Mail Privacy inflates opens, pushing low-intent trials to sales and harming productivity.<\/p>\n\n\n\n

                  Adaptation:<\/strong> Redefine engagement using product telemetry:\n– completed setup steps\n– invited teammates\n– used key features\nThen use Email Marketing<\/strong> to nudge the next activation milestone, not to infer interest from opens.<\/p>\n\n\n\n

                  Example 3: Publisher newsletter deliverability monitoring<\/h3>\n\n\n\n

                  A publisher monitors inbox placement using open trends by domain and geography. After Apple Mail Privacy, open patterns shift, confusing reporting and making it harder to detect deliverability problems.<\/p>\n\n\n\n

                  Adaptation:<\/strong> Track a blended set of indicators:\n– click-through rate by segment\n– complaint\/unsubscribe rates\n– bounce and deferral patterns\n– downstream sessions and subscriptions\nIn Direct & Retention Marketing<\/strong>, this produces a more stable \u201chealth dashboard\u201d than opens alone.<\/p>\n\n\n\n

                  Benefits of Using Apple Mail Privacy<\/h2>\n\n\n\n

                  Apple Mail Privacy is not a marketer feature, but it can still create meaningful benefits in the ecosystem:<\/p>\n\n\n\n

                    \n
                  • Better customer experience and trust:<\/strong> People feel less surveilled, which supports long-term retention\u2014an outcome that matters deeply in Direct & Retention Marketing<\/strong>.<\/li>\n
                  • Healthier measurement discipline:<\/strong> Teams are pushed toward metrics that reflect business impact (clicks, conversions, retention), improving Email Marketing<\/strong> decision-making.<\/li>\n
                  • Reduced reliance on dark signals:<\/strong> Moving away from invisible tracking encourages clearer consent practices and more transparent value exchange.<\/li>\n
                  • More resilient lifecycle strategy:<\/strong> Programs built on first-party events and conversion measurement tend to be more durable across platform changes.<\/li>\n<\/ul>\n\n\n\n

                    Challenges of Apple Mail Privacy<\/h2>\n\n\n\n

                    Apple Mail Privacy introduces real constraints that marketers must plan for:<\/p>\n\n\n\n

                      \n
                    • Open-rate distortion:<\/strong> Opens may be overstated, making historical comparisons tricky and A\/B results less clear.<\/li>\n
                    • Broken triggers:<\/strong> Journeys that depend on \u201copened\u201d can fire incorrectly, causing message overload or poor sequencing.<\/li>\n
                    • List hygiene ambiguity:<\/strong> Suppression rules based on opens can remove engaged readers, hurting reach and revenue in Email Marketing<\/strong>.<\/li>\n
                    • Geo and timing unreliability:<\/strong> Location-based personalization and send-time decisions based on open time become less trustworthy.<\/li>\n
                    • Attribution confusion:<\/strong> When opens are inflated, teams may misinterpret the role email played in conversion paths within Direct & Retention Marketing<\/strong> reporting.<\/li>\n<\/ul>\n\n\n\n

                      Best Practices for Apple Mail Privacy<\/h2>\n\n\n\n

                      To adapt effectively, treat Apple Mail Privacy as a measurement and operations change\u2014not a reason to panic.<\/p>\n\n\n\n

                      Rebuild engagement definitions<\/h3>\n\n\n\n
                        \n
                      • Create an \u201cengaged\u201d segment using clicks<\/strong>, site\/app events<\/strong>, purchases<\/strong>, and replies<\/strong>.<\/li>\n
                      • Use opens as a secondary, directional signal at most\u2014especially for Apple Mail audiences.<\/li>\n<\/ul>\n\n\n\n

                        Redesign automations away from opens<\/h3>\n\n\n\n

                        Replace \u201copened\u201d logic with:\n– link clicks (with meaningful link taxonomy)\n– product usage milestones\n– cart\/checkout events\n– preference center updates<\/p>\n\n\n\n

                        Improve instrumentation<\/h3>\n\n\n\n
                          \n
                        • Standardize tracking parameters on links for consistent Email Marketing<\/strong> attribution.<\/li>\n
                        • Ensure key onsite and in-app events are captured as first-party data and available for segmentation.<\/li>\n<\/ul>\n\n\n\n

                          Separate reporting views<\/h3>\n\n\n\n

                          In Direct & Retention Marketing<\/strong> dashboards:\n– show opens, but label them as \u201cmodeled \/ less reliable\u201d for Apple Mail segments\n– report primary KPIs as clicks, conversion rate, revenue per recipient, and retention lift<\/p>\n\n\n\n

                          Tune list management<\/h3>\n\n\n\n
                            \n
                          • Avoid auto-suppressing solely due to \u201cno opens.\u201d<\/li>\n
                          • Use a combination of inactivity signals (no clicks, no sessions, no purchases) and a re-permission sequence before removal.<\/li>\n<\/ul>\n\n\n\n

                            Strengthen creative and value<\/h3>\n\n\n\n

                            When measurement gets harder, fundamentals matter more:\n– clearer offers and calls-to-action\n– tighter audience-message fit\n– consistent sending cadence aligned to customer expectations<\/p>\n\n\n\n

                            Tools Used for Apple Mail Privacy<\/h2>\n\n\n\n

                            Apple Mail Privacy isn\u2019t something you \u201cinstall,\u201d but teams use tool categories to manage its impact across Email Marketing<\/strong> and Direct & Retention Marketing<\/strong>:<\/p>\n\n\n\n

                              \n
                            • Email service providers (ESPs) and marketing automation:<\/strong> to build segments, journeys, and frequency controls that don\u2019t rely on opens.<\/li>\n
                            • Web\/app analytics tools:<\/strong> to measure sessions, events, and conversions driven by email traffic.<\/li>\n
                            • Customer data platforms (CDPs) and event pipelines:<\/strong> to unify first-party events (site\/app\/product) with email identities for better targeting.<\/li>\n
                            • CRM systems:<\/strong> to align lifecycle stages, sales handoffs, and customer status using robust behavioral and transactional data.<\/li>\n
                            • Reporting dashboards and BI tools:<\/strong> to create privacy-aware reporting (e.g., separating Apple Mail cohorts, annotating trend breaks).<\/li>\n
                            • Deliverability and list quality monitoring:<\/strong> to track bounces, complaints, inbox placement indicators, and sender reputation signals beyond opens.<\/li>\n<\/ul>\n\n\n\n

                              The goal is to make Direct & Retention Marketing<\/strong> measurement less dependent on any single client-side signal.<\/p>\n\n\n\n

                              Metrics Related to Apple Mail Privacy<\/h2>\n\n\n\n

                              Because Apple Mail Privacy weakens open-based insights, prioritize metrics that better reflect real engagement and business impact:<\/p>\n\n\n\n

                              Engagement and traffic<\/h3>\n\n\n\n
                                \n
                              • Click-through rate (CTR)<\/li>\n
                              • Click-to-open rate (use cautiously; the denominator is unstable under Apple Mail Privacy)<\/li>\n
                              • Sessions from email (analytics)<\/li>\n
                              • On-site engagement (pages viewed, time, key events)<\/li>\n<\/ul>\n\n\n\n

                                Revenue and retention<\/h3>\n\n\n\n
                                  \n
                                • Conversion rate from email traffic<\/li>\n
                                • Revenue per recipient \/ per delivered email<\/li>\n
                                • Repeat purchase rate \/ reorder rate<\/li>\n
                                • Churn reduction or retention lift for lifecycle programs<\/li>\n<\/ul>\n\n\n\n

                                  Deliverability and list health<\/h3>\n\n\n\n
                                    \n
                                  • Bounce rate (hard\/soft)<\/li>\n
                                  • Spam complaint rate<\/li>\n
                                  • Unsubscribe rate<\/li>\n
                                  • Inbox placement indicators (where available)<\/li>\n
                                  • Domain-level performance trends using clicks and conversions<\/li>\n<\/ul>\n\n\n\n

                                    In Email Marketing<\/strong>, these metrics create a sturdier optimization loop than opens alone.<\/p>\n\n\n\n

                                    Future Trends of Apple Mail Privacy<\/h2>\n\n\n\n

                                    Apple Mail Privacy is part of a broader shift toward privacy-first ecosystems, and several trends will shape how Direct & Retention Marketing<\/strong> evolves:<\/p>\n\n\n\n

                                      \n
                                    • AI-assisted optimization with better inputs:<\/strong> As open data becomes noisy, models will rely more on first-party events, content features, and conversion feedback to recommend segmentation, timing, and creative.<\/li>\n
                                    • More server-side and first-party measurement:<\/strong> Teams will invest in event tracking that\u2019s less dependent on email-client behaviors.<\/li>\n
                                    • Preference-led personalization:<\/strong> Instead of inferred signals like \u201copens at 7am,\u201d programs will use explicit preferences (topics, frequency, channels) to personalize Email Marketing<\/strong>.<\/li>\n
                                    • Measurement standards will change:<\/strong> Organizations will document metric definitions more rigorously (what an \u201copen\u201d means, which clients are affected, how trends are normalized).<\/li>\n
                                    • Retention strategy becomes more integrated:<\/strong> Email will be evaluated alongside SMS, push, in-app, and paid retargeting with unified incrementality thinking\u2014especially in Direct & Retention Marketing<\/strong> teams focused on lifetime value.<\/li>\n<\/ul>\n\n\n\n

                                      Apple Mail Privacy vs Related Terms<\/h2>\n\n\n\n

                                      Apple Mail Privacy vs open tracking<\/h3>\n\n\n\n

                                      Open tracking is a measurement technique (typically pixel-based). Apple Mail Privacy is a client-side privacy behavior that makes that technique less reliable. You can still record<\/em> opens in many cases, but you can\u2019t assume they represent human attention.<\/p>\n\n\n\n

                                      Apple Mail Privacy vs deliverability<\/h3>\n\n\n\n

                                      Deliverability is about whether emails reach the inbox (vs spam or blocked). Apple Mail Privacy doesn\u2019t directly determine inbox placement, but it can mislead deliverability monitoring if you rely heavily on opens to detect problems. In Email Marketing<\/strong>, deliverability decisions should consider bounces, complaints, and downstream engagement.<\/p>\n\n\n\n

                                      Apple Mail Privacy vs first-party data<\/h3>\n\n\n\n

                                      First-party data is information you collect directly from customer interactions (purchases, logins, app events). Apple Mail Privacy reduces access to certain third-party-style signals from the email client, which makes first-party data more valuable for Direct & Retention Marketing<\/strong> targeting and measurement.<\/p>\n\n\n\n

                                      Who Should Learn Apple Mail Privacy<\/h2>\n\n\n\n
                                        \n
                                      • Marketers:<\/strong> to redesign lifecycle journeys, segmentation, and reporting in privacy-impacted inbox environments.<\/li>\n
                                      • Analysts:<\/strong> to adjust dashboards, avoid misleading conclusions, and build measurement that reflects true customer value.<\/li>\n
                                      • Agencies:<\/strong> to set correct expectations, explain metric shifts to clients, and create resilient Email Marketing<\/strong> playbooks.<\/li>\n
                                      • Business owners and founders:<\/strong> to understand why headline open rates may change while revenue does not\u2014and where to focus optimization.<\/li>\n
                                      • Developers and marketing ops:<\/strong> to implement event tracking, identity resolution, and automation logic that remains reliable despite Apple Mail Privacy.<\/li>\n<\/ul>\n\n\n\n

                                        Summary of Apple Mail Privacy<\/h2>\n\n\n\n

                                        Apple Mail Privacy reduces the accuracy of traditional email open tracking and related signals like IP-based location and open timing. In Direct & Retention Marketing<\/strong>, this matters because many lifecycle strategies historically used opens to measure engagement, drive automations, and manage list hygiene. The practical response is to shift Email Marketing<\/strong> toward stronger signals\u2014clicks, conversions, and first-party behavioral events\u2014while updating reporting and workflows to remain privacy-aware.<\/p>\n\n\n\n

                                        Frequently Asked Questions (FAQ)<\/h2>\n\n\n\n

                                        1) What is Apple Mail Privacy and what does it change for marketers?<\/h3>\n\n\n\n

                                        Apple Mail Privacy limits how reliably senders can detect opens and related data (like IP-based location) for emails read in Apple\u2019s Mail app. It primarily changes measurement and automation logic that depends on opens.<\/p>\n\n\n\n

                                        2) Does Apple Mail Privacy affect click tracking?<\/h3>\n\n\n\n

                                        Click tracking generally remains reliable because it depends on the recipient clicking a link. That said, you should ensure link tracking and analytics tagging are consistent so Email Marketing<\/strong> performance can be measured via sessions and conversions.<\/p>\n\n\n\n

                                        3) Should I stop looking at open rates entirely?<\/h3>\n\n\n\n

                                        Not necessarily, but you should treat opens as a weaker, less comparable metric\u2014especially for Apple Mail segments. In Direct & Retention Marketing<\/strong>, prioritize clicks, conversions, revenue per recipient, and retention metrics for optimization decisions.<\/p>\n\n\n\n

                                        4) How should I change automations that use \u201copened email\u201d conditions?<\/h3>\n\n\n\n

                                        Replace open-based triggers with stronger behaviors: link clicks, product usage events, site visits, cart activity, purchases, or explicit preference updates. This makes Email Marketing<\/strong> flows more accurate and customer-friendly.<\/p>\n\n\n\n

                                        5) How does Apple Mail Privacy impact list cleaning and re-engagement?<\/h3>\n\n\n\n

                                        If you suppress or delete contacts based on \u201cno opens,\u201d you risk removing engaged readers whose opens are no longer reliable. Use multi-signal inactivity definitions (no clicks, no sessions, no purchases) and run a measured re-permission sequence first.<\/p>\n\n\n\n

                                        6) What\u2019s the best way to report Email Marketing performance now?<\/h3>\n\n\n\n

                                        Use a scorecard anchored in delivered emails, clicks, sessions, conversions, revenue, unsubscribes, and complaints. In Direct & Retention Marketing<\/strong> dashboards, separate Apple Mail cohorts where possible and annotate reporting changes tied to Apple Mail Privacy.<\/p>\n\n\n\n

                                        7) Can Apple Mail Privacy improve customer trust?<\/h3>\n\n\n\n

                                        Yes. By limiting invisible tracking, Apple Mail Privacy can reduce the feeling of surveillance. Brands that respond by improving transparency, preferences, and value-driven messaging often strengthen long-term relationships\u2014exactly what Direct & Retention Marketing<\/strong> aims to achieve.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                        Apple Mail Privacy is a set of privacy behaviors in Apple\u2019s Mail app that limits how much senders can learn about an email recipient\u2019s activity\u2014especially whether, when, and where an email was opened. In **Direct & Retention Marketing**, this matters because email has long relied on \u201copens\u201d and related signals to trigger automations, measure engagement, and optimize lifecycle journeys. When those signals become less reliable, strategy and measurement must evolve.<\/p>\n","protected":false},"author":10235,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[130],"tags":[],"class_list":["post-7840","post","type-post","status-publish","format-standard","hentry","category-email-marketing"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/7840","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/users\/10235"}],"replies":[{"embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/comments?post=7840"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/7840\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=7840"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=7840"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=7840"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}