{"id":8627,"date":"2026-03-26T12:47:50","date_gmt":"2026-03-26T12:47:50","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/privacy-sandbox-on-android\/"},"modified":"2026-03-26T12:47:50","modified_gmt":"2026-03-26T12:47:50","slug":"privacy-sandbox-on-android","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/privacy-sandbox-on-android\/","title":{"rendered":"Privacy Sandbox on Android: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Mobile & App Marketing"},"content":{"rendered":"\n

Privacy Sandbox on Android is one of the most important shifts happening in Mobile & App Marketing<\/strong> today. It\u2019s Android\u2019s approach to enabling advertising use cases\u2014like interest-based ads, remarketing, and conversion measurement\u2014while reducing reliance on cross-app identifiers and limiting how much user-level data is shared.<\/p>\n\n\n\n

For marketers and developers working in Mobile & App Marketing<\/strong>, Privacy Sandbox on Android changes how targeting, attribution, and optimization are performed. Instead of \u201cwho is this user across apps?\u201d, the focus moves toward privacy-preserving signals, on-device processing, and aggregated reporting. The result is a new operating model for growth teams that want performance and privacy at the same time.<\/p>\n\n\n\n

What Is Privacy Sandbox on Android?<\/h2>\n\n\n\n

Privacy Sandbox on Android<\/strong> is a set of platform initiatives and APIs designed to support digital advertising on Android devices while improving user privacy. In practical terms, it aims to reduce hidden cross-app tracking and restrict the use of persistent identifiers for ad targeting and measurement, without eliminating advertising-supported apps.<\/p>\n\n\n\n

The core concept is privacy-preserving advertising<\/strong>: enabling common ad functions (relevance, remarketing, attribution) using mechanisms that limit data leakage, minimize user-level sharing, and add protective measures such as aggregation, noise, and constrained access.<\/p>\n\n\n\n

From a business perspective, Privacy Sandbox on Android matters because Android has historically been a major environment for performance marketing driven by device identifiers and app-to-app tracking. As that environment changes, teams must adapt their acquisition and monetization strategies, measurement frameworks, and partner integrations.<\/p>\n\n\n\n

Within Mobile & App Marketing<\/strong>, Privacy Sandbox on Android sits at the intersection of:\n– paid user acquisition (UA) and lifecycle marketing\n– measurement and attribution\n– ad monetization for publishers\n– privacy, compliance, and consumer trust<\/p>\n\n\n\n

It also affects how Mobile & App Marketing<\/strong> teams collaborate with engineering, data, legal, and ad tech partners.<\/p>\n\n\n\n

Why Privacy Sandbox on Android Matters in Mobile & App Marketing<\/h2>\n\n\n\n

Privacy Sandbox on Android is strategically important because it reshapes the \u201csignal supply\u201d that performance marketing depends on. As user-level identifiers become less available or less reliable, measurement becomes more probabilistic, targeting becomes more contextual or cohort-based, and experimentation becomes more central.<\/p>\n\n\n\n

Key reasons it matters for Mobile & App Marketing<\/strong> outcomes:<\/p>\n\n\n\n

    \n
  • Attribution and optimization change<\/strong>: Conversion measurement may arrive with delays, be aggregated, or be privacy-protected, which impacts bidding, creative optimization, and budget allocation.<\/li>\n
  • Remarketing becomes more constrained<\/strong>: Retargeting across apps may rely on platform-approved flows rather than broad ID-based audience sharing.<\/li>\n
  • Competitive advantage shifts to first-party strength<\/strong>: Brands with strong first-party data, good consent practices, and robust experimentation can outperform those dependent on easy third-party tracking.<\/li>\n
  • Trust becomes a growth lever<\/strong>: Clear privacy practices can reduce churn, improve retention, and support long-term brand equity\u2014critical in Mobile & App Marketing<\/strong> where switching costs are low.<\/li>\n<\/ul>\n\n\n\n

    Ultimately, Privacy Sandbox on Android pushes the industry toward better governance and more sustainable performance marketing.<\/p>\n\n\n\n

    How Privacy Sandbox on Android Works<\/h2>\n\n\n\n

    Privacy Sandbox on Android is best understood as a set of privacy-preserving building blocks rather than one single \u201ctool.\u201d In practice, it works like a workflow that replaces raw identifiers with controlled signals and reports.<\/p>\n\n\n\n

      \n
    1. \n

      Input \/ Trigger<\/strong>\n A user interacts with an ad or content in an Android app: viewing an ad, clicking, installing, or completing an in-app event (purchase, signup, subscription).<\/p>\n<\/li>\n

    2. \n

      Processing (Privacy controls applied)<\/strong>\n Instead of sending user-level identifiers broadly across the ecosystem, the device and platform APIs help:\n – derive interest or contextual signals (without exposing a full browsing\/app history)\n – manage eligibility for remarketing scenarios under restricted rules\n – generate privacy-preserving measurement outputs (often aggregated and delayed)<\/p>\n<\/li>\n

    3. \n

      Execution \/ Application<\/strong>\n Advertisers and publishers use these APIs to:\n – serve relevant ads (interest-based or contextual)\n – run remarketing using platform-governed audiences\n – measure conversions with privacy-protected attribution outputs<\/p>\n<\/li>\n

    4. \n

      Output \/ Outcome<\/strong>\n Marketers get signals they can act on\u2014such as conversion counts, campaign performance, or audience performance\u2014while users receive stronger privacy protections than traditional cross-app tracking.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

      In Mobile & App Marketing<\/strong>, the practical implication is that you plan for less granular but more privacy-safe<\/strong> data, and you rely more on testing, modeling, and strong on-site\/on-app instrumentation.<\/p>\n\n\n\n

      Key Components of Privacy Sandbox on Android<\/h2>\n\n\n\n

      While details can evolve, Privacy Sandbox on Android is commonly discussed through several major components that map to advertising jobs-to-be-done:<\/p>\n\n\n\n

        \n
      • \n

        Interest-based advertising signals<\/strong>\n Mechanisms designed to support relevance without revealing a user\u2019s full cross-app identity or behavior to many parties.<\/p>\n<\/li>\n

      • \n

        Remarketing \/ custom audience capabilities<\/strong>\n Approaches intended to enable \u201cshow ads to people who previously engaged\u201d while keeping sensitive data more contained and governed.<\/p>\n<\/li>\n

      • \n

        Attribution and measurement APIs<\/strong>\n Privacy-preserving reporting intended to connect ad exposure to conversions with constraints such as aggregation, noise, limits, and delays.<\/p>\n<\/li>\n

      • \n

        SDK-related isolation concepts (where applicable)<\/strong>\n Privacy Sandbox on Android also relates to strengthening boundaries around how SDKs access data, supporting safer execution models and reducing silent data collection risks.<\/p>\n<\/li>\n

      • \n

        Governance and responsibilities<\/strong>\n Successful adoption requires cross-functional ownership:<\/p>\n<\/li>\n

      • Marketing: define measurement needs and KPIs<\/li>\n
      • Engineering: integrate APIs and event schemas<\/li>\n
      • Data\/Analytics: design reporting and modeling<\/li>\n
      • Legal\/Privacy: ensure consent and policy alignment<\/li>\n
      • Partnerships: align ad platforms, MMPs, and monetization partners<\/li>\n<\/ul>\n\n\n\n

        For Mobile & App Marketing<\/strong>, the \u201ccomponent\u201d that matters most is often measurement\u2014because measurement affects every downstream decision.<\/p>\n\n\n\n

        Types of Privacy Sandbox on Android (Practical Distinctions)<\/h2>\n\n\n\n

        Privacy Sandbox on Android doesn\u2019t have \u201ctypes\u201d in the way a channel might, but it does have distinct functional areas<\/strong> that teams should treat differently:<\/p>\n\n\n\n

          \n
        1. \n

          Ad relevance (interest\/context signals)<\/strong>\n Focus: improving ad relevance while limiting cross-app tracking.\n Team impact: targeting strategy, creative testing, and audience planning.<\/p>\n<\/li>\n

        2. \n

          Remarketing (privacy-preserving re-engagement)<\/strong>\n Focus: controlled re-engagement without broad user-level sharing.\n Team impact: lifecycle marketing, winback campaigns, and audience ops.<\/p>\n<\/li>\n

        3. \n

          Measurement (privacy-preserving attribution reporting)<\/strong>\n Focus: conversion measurement designed to be useful but less granular.\n Team impact: ROAS reporting, bid optimization, incrementality, MMM, and experimentation.<\/p>\n<\/li>\n

        4. \n

          Platform\/SDK isolation (reducing uncontrolled data access)<\/strong>\n Focus: limiting how third-party SDKs access data and identifiers.\n Team impact: vendor due diligence, app architecture, and compliance reviews.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

          Thinking in these \u201ctypes\u201d helps Mobile & App Marketing<\/strong> teams avoid treating Privacy Sandbox on Android as only an ad tech change; it\u2019s also an analytics and governance change.<\/p>\n\n\n\n

          Real-World Examples of Privacy Sandbox on Android<\/h2>\n\n\n\n

          Example 1: User acquisition for a subscription app<\/h3>\n\n\n\n

          A subscription-based app runs paid campaigns across multiple channels and wants to optimize to trial starts and paid conversions. With Privacy Sandbox on Android<\/strong>, the team prepares for more aggregated conversion reporting and invests in:\n– stronger in-app event instrumentation (trial_start, subscribe)\n– experiment design (geo tests, holdouts) to validate true lift\n– blended KPI dashboards that combine platform reports with internal revenue data<\/p>\n\n\n\n

          This supports more resilient optimization in Mobile & App Marketing<\/strong> even when user-level attribution becomes limited.<\/p>\n\n\n\n

          Example 2: Remarketing for an eCommerce app<\/h3>\n\n\n\n

          An eCommerce app wants to re-engage users who viewed products but didn\u2019t purchase. Under Privacy Sandbox on Android<\/strong>, the app leans toward platform-supported remarketing approaches and first-party signals (like logged-in status or on-device behavior) rather than exporting broad user identifiers to many partners. The marketing team shifts from \u201cperfectly personalized\u201d to \u201chigh-intent segments + fast creative iteration.\u201d<\/p>\n\n\n\n

          Example 3: Ad monetization for a publisher app<\/h3>\n\n\n\n

          A free content app depends on ad revenue. With Privacy Sandbox on Android, the monetization team evaluates how privacy-preserving interest signals and controlled measurement may impact fill rate and eCPM. They run A\/B tests on:\n– contextual placements (section\/topic based)\n– frequency caps and UX changes to protect retention\n– partner configuration changes to reduce data leakage risks<\/p>\n\n\n\n

          This is a direct Mobile & App Marketing<\/strong> monetization use case, not just an advertiser concern.<\/p>\n\n\n\n

          Benefits of Using Privacy Sandbox on Android<\/h2>\n\n\n\n

          When implemented well, Privacy Sandbox on Android<\/strong> can improve outcomes for both users and businesses:<\/p>\n\n\n\n

            \n
          • Better long-term signal stability<\/strong>: Reduces dependence on fragile identifiers and opaque tracking behaviors that can be restricted over time.<\/li>\n
          • Improved user trust and retention<\/strong>: Privacy-respecting experiences can reduce uninstall rates and increase lifetime value.<\/li>\n
          • Operational efficiency<\/strong>: Clearer boundaries around data access can simplify governance, vendor reviews, and compliance operations.<\/li>\n
          • More durable measurement strategy<\/strong>: Teams that adopt aggregated measurement, incrementality testing, and modeling become less vulnerable to platform changes.<\/li>\n
          • Healthier ecosystem alignment<\/strong>: Advertisers, publishers, and platforms can converge on standardized, privacy-preserving approaches\u2014useful for scaling Mobile & App Marketing<\/strong> programs.<\/li>\n<\/ul>\n\n\n\n

            Challenges of Privacy Sandbox on Android<\/h2>\n\n\n\n

            Privacy Sandbox on Android also introduces real constraints that teams must plan for:<\/p>\n\n\n\n

              \n
            • Reduced granularity in measurement<\/strong>: Less user-level detail can make campaign-level diagnosis harder (creative vs audience vs placement).<\/li>\n
            • Reporting delays and constraints<\/strong>: Privacy-protecting mechanisms can introduce latency that affects real-time bidding optimization and daily pacing.<\/li>\n
            • Implementation complexity<\/strong>: Engineering work is required, and partners may be at different stages of support.<\/li>\n
            • Learning curve for marketers<\/strong>: Teams used to deterministic attribution must adapt to probabilistic or aggregated approaches.<\/li>\n
            • Risk of misinterpretation<\/strong>: Modeled or aggregated results can be misunderstood without solid analytics practices.<\/li>\n
            • Partner dependency<\/strong>: Results depend on how ad platforms, SDKs, and measurement partners integrate with Privacy Sandbox on Android.<\/li>\n<\/ul>\n\n\n\n

              In Mobile & App Marketing<\/strong>, these challenges often show up as \u201cmeasurement disagreement\u201d between platforms, internal analytics, and finance.<\/p>\n\n\n\n

              Best Practices for Privacy Sandbox on Android<\/h2>\n\n\n\n

              To succeed with Privacy Sandbox on Android<\/strong>, focus on readiness, rigor, and resilience:<\/p>\n\n\n\n

                \n
              • Strengthen first-party foundations<\/strong><\/li>\n
              • Improve onboarding flows that encourage login or durable consent (where appropriate).<\/li>\n
              • \n

                Maintain clean event schemas and consistent naming across teams.<\/p>\n<\/li>\n

              • \n

                Design measurement for uncertainty<\/strong><\/p>\n<\/li>\n

              • Use incrementality tests (holdouts, geo experiments) to validate performance.<\/li>\n
              • \n

                Build blended reporting (platform + internal revenue + cohort retention).<\/p>\n<\/li>\n

              • \n

                Invest in creative and funnel optimization<\/strong><\/p>\n<\/li>\n

              • When targeting signals become less granular, creative testing and landing\/onboarding optimization often deliver outsized gains.<\/li>\n
              • \n

                Use structured experimentation to avoid chasing noise.<\/p>\n<\/li>\n

              • \n

                Audit SDKs and data access<\/strong><\/p>\n<\/li>\n

              • Minimize unnecessary SDKs and review permissions and data flows.<\/li>\n
              • \n

                Establish a clear vendor governance process across marketing and engineering.<\/p>\n<\/li>\n

              • \n

                Plan for phased rollout and partner variance<\/strong><\/p>\n<\/li>\n

              • \n

                Treat Privacy Sandbox on Android changes as iterative; monitor partner readiness and update your testing roadmap.<\/p>\n<\/li>\n

              • \n

                Document decisions and assumptions<\/strong><\/p>\n<\/li>\n

              • For every KPI shift, document what changed, why, and how to interpret trends.<\/li>\n<\/ul>\n\n\n\n

                These practices help Mobile & App Marketing<\/strong> teams keep performance stable during ecosystem transitions.<\/p>\n\n\n\n

                Tools Used for Privacy Sandbox on Android<\/h2>\n\n\n\n

                Privacy Sandbox on Android is not a single dashboard. It\u2019s operationalized through a stack of tools and workflows commonly used in Mobile & App Marketing<\/strong>:<\/p>\n\n\n\n

                  \n
                • Analytics tools<\/strong>: product analytics for funnel, retention cohorts, and LTV modeling (to reduce reliance on ad-platform-only reporting).<\/li>\n
                • Mobile measurement partners (MMPs)<\/strong>: attribution and campaign management layers that adapt to platform privacy constraints.<\/li>\n
                • Ad platforms and mediation layers<\/strong>: for buying, bidding, and monetization configuration under new signal and measurement rules.<\/li>\n
                • CRM\/CDP systems<\/strong>: managing first-party identifiers (email, phone, account ID) and lifecycle messaging based on consented relationships.<\/li>\n
                • Consent and privacy management tools<\/strong>: capturing user choices, supporting transparency, and enforcing data policies.<\/li>\n
                • Experimentation and feature flag tools<\/strong>: powering incrementality tests and controlled rollouts.<\/li>\n
                • BI\/reporting dashboards<\/strong>: unifying spend, conversion, revenue, and retention into decision-ready views.<\/li>\n<\/ul>\n\n\n\n

                  The key is not a specific vendor\u2014it\u2019s building a measurement and governance system compatible with Privacy Sandbox on Android<\/strong> constraints.<\/p>\n\n\n\n

                  Metrics Related to Privacy Sandbox on Android<\/h2>\n\n\n\n

                  As Privacy Sandbox on Android affects signal availability, metrics need to cover both performance and confidence:<\/p>\n\n\n\n

                    \n
                  • Acquisition performance<\/strong>: CPI\/CPA, install rate, conversion rate to key events.<\/li>\n
                  • Revenue and efficiency<\/strong>: ROAS, payback period, LTV:CAC, contribution margin.<\/li>\n
                  • Cohort quality<\/strong>: D1\/D7\/D30 retention, repeat purchase rate, subscription renewal rate.<\/li>\n
                  • Modeled vs observed gaps<\/strong>: differences between platform-reported conversions and internal analytics.<\/li>\n
                  • Incrementality metrics<\/strong>: lift, cost per incremental conversion, holdout performance.<\/li>\n
                  • Data quality indicators<\/strong>: event coverage, schema consistency, attribution match rate (where applicable), reporting latency.<\/li>\n<\/ul>\n\n\n\n

                    For Mobile & App Marketing<\/strong>, a strong metric strategy acknowledges that \u201cprecision\u201d may decrease while \u201cdecision usefulness\u201d must stay high.<\/p>\n\n\n\n

                    Future Trends of Privacy Sandbox on Android<\/h2>\n\n\n\n

                    Privacy Sandbox on Android is evolving alongside broader marketing trends:<\/p>\n\n\n\n

                      \n
                    • More automation and AI-driven optimization<\/strong>: As granular signals decline, platforms and advertisers will rely more on modeled outcomes, creative automation, and algorithmic bidding.<\/li>\n
                    • A shift toward first-party growth loops<\/strong>: Referral programs, in-app virality, email\/SMS (where consented), and community-led growth will matter more.<\/li>\n
                    • Incrementality becomes mainstream<\/strong>: Lift testing will move from \u201cadvanced\u201d to \u201cbaseline\u201d for serious Mobile & App Marketing<\/strong> teams.<\/li>\n
                    • Privacy as product strategy<\/strong>: Expect privacy-forward UX patterns and transparent value exchanges to influence conversion and retention.<\/li>\n
                    • Convergence of privacy frameworks<\/strong>: Marketers will operate across multiple privacy-preserving ecosystems, harmonizing analytics and decisioning across platforms.<\/li>\n<\/ul>\n\n\n\n

                      In this environment, Privacy Sandbox on Android<\/strong> becomes a catalyst for more disciplined measurement and better long-term marketing operations.<\/p>\n\n\n\n

                      Privacy Sandbox on Android vs Related Terms<\/h2>\n\n\n\n

                      Privacy Sandbox on Android vs Android Advertising ID (GAID)<\/h3>\n\n\n\n
                        \n
                      • GAID<\/strong> is a device-level advertising identifier historically used for cross-app tracking and attribution. <\/li>\n
                      • Privacy Sandbox on Android<\/strong> is a broader set of APIs and design changes intended to reduce reliance on such identifiers and replace parts of that functionality with privacy-preserving alternatives.<\/li>\n<\/ul>\n\n\n\n

                        Privacy Sandbox on Android vs Privacy Sandbox (web browsers)<\/h3>\n\n\n\n
                          \n
                        • The web version focuses on browser-based advertising and tracking changes. <\/li>\n
                        • Privacy Sandbox on Android<\/strong> targets the Android app ecosystem, where SDKs, app-to-app flows, and device identifiers play a larger role.<\/li>\n<\/ul>\n\n\n\n

                          Privacy Sandbox on Android vs App Tracking Transparency (ATT)<\/h3>\n\n\n\n
                            \n
                          • ATT is a consent framework on another mobile platform that restricts access to an advertising identifier and prompts users for permission. <\/li>\n
                          • Privacy Sandbox on Android<\/strong> is an Android-centered initiative focused on building alternative APIs and protections, with different mechanics and rollout patterns.<\/li>\n<\/ul>\n\n\n\n

                            Understanding these differences is critical for cross-platform Mobile & App Marketing<\/strong> planning.<\/p>\n\n\n\n

                            Who Should Learn Privacy Sandbox on Android<\/h2>\n\n\n\n

                            Privacy Sandbox on Android is relevant across roles:<\/p>\n\n\n\n

                              \n
                            • Marketers and growth leads<\/strong>: to redesign targeting, remarketing, and measurement strategies.<\/li>\n
                            • Analysts and data teams<\/strong>: to build blended reporting, incrementality testing, and modeling frameworks.<\/li>\n
                            • Agencies<\/strong>: to set expectations with clients, redesign KPIs, and update playbooks for Mobile & App Marketing<\/strong> execution.<\/li>\n
                            • Business owners and founders<\/strong>: to forecast CAC\/LTV changes and protect the unit economics of growth.<\/li>\n
                            • Developers and product teams<\/strong>: to implement APIs, manage SDK risk, and ensure reliable event instrumentation.<\/li>\n<\/ul>\n\n\n\n

                              If you touch UA, monetization, attribution, or privacy governance, Privacy Sandbox on Android<\/strong> is now core knowledge.<\/p>\n\n\n\n

                              Summary of Privacy Sandbox on Android<\/h2>\n\n\n\n

                              Privacy Sandbox on Android<\/strong> is a privacy-preserving framework and set of APIs designed to support advertising relevance, remarketing, and measurement on Android with less reliance on cross-app identifiers. It matters because it changes the data signals that performance advertising depends on, reshaping attribution, optimization, and governance.<\/p>\n\n\n\n

                              In Mobile & App Marketing<\/strong>, Privacy Sandbox on Android fits into both acquisition and monetization workflows, influencing how teams measure conversions, build audiences, and manage partners. Teams that invest in first-party foundations, experimentation, and robust analytics will be best positioned to maintain performance while improving user privacy.<\/p>\n\n\n\n

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

                              1) What problem is Privacy Sandbox on Android trying to solve?<\/h3>\n\n\n\n

                              Privacy Sandbox on Android aims to reduce hidden cross-app tracking and limit the sharing of user-level data, while still enabling advertising use cases like relevance, remarketing, and conversion measurement.<\/p>\n\n\n\n

                              2) Does Privacy Sandbox on Android eliminate performance marketing?<\/h3>\n\n\n\n

                              No. Privacy Sandbox on Android<\/strong> changes the signals and methods used for targeting and measurement. Performance marketing remains possible, but it may rely more on aggregated reporting, modeling, and experimentation rather than deterministic user-level tracking.<\/p>\n\n\n\n

                              3) How should Mobile & App Marketing teams prepare for these changes?<\/h3>\n\n\n\n

                              In Mobile & App Marketing<\/strong>, prioritize strong first-party event instrumentation, adopt incrementality testing, build blended dashboards (spend + internal revenue + retention), and coordinate closely with engineering and analytics on implementation and data quality.<\/p>\n\n\n\n

                              4) Will remarketing still work with Privacy Sandbox on Android?<\/h3>\n\n\n\n

                              Remarketing can still exist, but it may operate through more controlled, privacy-preserving mechanisms. Expect changes in audience portability, segmentation, and reporting detail.<\/p>\n\n\n\n

                              5) What metrics become more important under Privacy Sandbox on Android?<\/h3>\n\n\n\n

                              Cohort retention, LTV, incrementality lift, and blended ROAS often become more important, alongside data quality and reporting-latency monitoring. These metrics help teams make decisions despite reduced granularity.<\/p>\n\n\n\n

                              6) Is Privacy Sandbox on Android only relevant for advertisers?<\/h3>\n\n\n\n

                              No. Publishers and app developers who monetize with ads are also affected, because ad relevance and measurement changes can influence eCPM, fill rates, and user experience\u2014key parts of Mobile & App Marketing<\/strong> monetization strategy.<\/p>\n\n\n\n

                              7) Should developers and marketers work together on Privacy Sandbox on Android?<\/h3>\n\n\n\n

                              Yes. Privacy Sandbox on Android<\/strong> is as much an implementation and data-governance change as it is a marketing change. Collaboration ensures correct event tracking, aligned KPIs, and reliable decision-making.<\/p>\n","protected":false},"excerpt":{"rendered":"

                              Privacy Sandbox on Android is one of the most important shifts happening in **Mobile & App Marketing** today. It\u2019s Android\u2019s approach to enabling advertising use cases\u2014like interest-based ads, remarketing, and conversion measurement\u2014while reducing reliance on cross-app identifiers and limiting how much user-level data is shared.<\/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":[1900],"tags":[],"class_list":["post-8627","post","type-post","status-publish","format-standard","hentry","category-mobile-app-marketing"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/8627","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=8627"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/8627\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=8627"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=8627"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=8627"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}