{"id":8578,"date":"2026-03-26T10:46:02","date_gmt":"2026-03-26T10:46:02","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/app-event-postback\/"},"modified":"2026-03-26T10:46:02","modified_gmt":"2026-03-26T10:46:02","slug":"app-event-postback","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/app-event-postback\/","title":{"rendered":"App Event Postback: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Mobile & App Marketing"},"content":{"rendered":"\n

An App Event Postback<\/strong> is a behind-the-scenes message that sends information about a meaningful in-app action (an \u201cevent\u201d) from one system to another\u2014most commonly from an attribution or analytics layer to an ad platform\u2014so campaigns can be measured and optimized. In Mobile & App Marketing<\/strong>, it\u2019s one of the core mechanisms that turns user behavior (installs, sign-ups, purchases, subscriptions, level completes) into actionable performance data.<\/p>\n\n\n\n

Why it matters: modern Mobile & App Marketing<\/strong> depends on fast feedback loops. If you can\u2019t reliably send conversion events back to the platforms and tools making budget decisions, you\u2019ll struggle to scale efficiently, prove ROI, or train optimization algorithms. App Event Postback workflows are how marketers connect app outcomes to acquisition spend\u2014while developers and analysts ensure the data is accurate, governed, and privacy-aware.<\/p>\n\n\n\n

What Is App Event Postback?<\/h2>\n\n\n\n

An App Event Postback<\/strong> is a structured data \u201ccallback\u201d that communicates an app event\u2014such as registration completed<\/em> or purchase<\/em>\u2014from one party to another for measurement, attribution, optimization, or reporting. The postback typically travels server-to-server (rather than device-to-server) after an event is logged, and it includes key details like the event name, timestamp, and attribution context.<\/p>\n\n\n\n

The core concept is simple: an event happens in the app \u2192 that event is recorded \u2192 a postback notifies another system<\/strong>. The business meaning is bigger: postbacks are how a team proves which campaigns and channels are producing high-value users, not just installs.<\/p>\n\n\n\n

Where it fits in Mobile & App Marketing<\/strong>: App Event Postback is a bridge between user behavior and marketing execution. It supports attribution, conversion optimization, audience building, and ROI analysis\u2014especially for paid user acquisition, re-engagement, and lifecycle campaigns.<\/p>\n\n\n\n

Its role inside Mobile & App Marketing<\/strong> is both operational and strategic: operationally, it supplies conversion signals; strategically, it enables budget allocation toward real outcomes like revenue and retention.<\/p>\n\n\n\n

Why App Event Postback Matters in Mobile & App Marketing<\/h2>\n\n\n\n

App Event Postback<\/strong> matters because the install is rarely the goal. Most apps win or lose based on downstream actions: account creation, onboarding completion, first purchase, subscription renewal, or repeat engagement. Postbacks allow platforms to optimize toward those actions instead of optimizing toward cheap installs.<\/p>\n\n\n\n

Key value in Mobile & App Marketing<\/strong> includes:<\/p>\n\n\n\n

    \n
  • Smarter optimization:<\/strong> Ad platforms need conversion signals to find similar users and improve delivery.<\/li>\n
  • Better ROI decisions:<\/strong> When events like trial started<\/em> or purchase<\/em> are postbacked, ROAS and LTV analysis becomes more reliable.<\/li>\n
  • Faster learning cycles:<\/strong> Near-real-time postbacks accelerate testing of creatives, audiences, and bids.<\/li>\n
  • Competitive advantage:<\/strong> Teams with cleaner event postbacks can confidently scale and outmaneuver competitors who optimize on shallow metrics.<\/li>\n<\/ul>\n\n\n\n

    In practice, App Event Postback is often the difference between \u201cwe spent money and got installs\u201d and \u201cwe spent money and grew profitable revenue.\u201d<\/p>\n\n\n\n

    How App Event Postback Works<\/h2>\n\n\n\n

    While implementations vary, an App Event Postback<\/strong> generally follows a practical workflow:<\/p>\n\n\n\n

      \n
    1. \n

      Input \/ Trigger (event happens):<\/strong>\n A user performs an action in the app\u2014e.g., completes registration, adds to cart, purchases, or reaches level 10. The app records this event via an SDK or internal tracking.<\/p>\n<\/li>\n

    2. \n

      Processing (validate + attribute):<\/strong>\n The event is received by an analytics or attribution layer, which:\n – validates the event schema (name, parameters, timestamp),\n – deduplicates where needed,\n – determines attribution context (which campaign\/ad\/network deserves credit),\n – applies business rules (e.g., only postback purchases above a threshold).<\/p>\n<\/li>\n

    3. \n

      Execution \/ Application (send postback):<\/strong>\n A postback is sent to a destination such as an ad network, measurement partner endpoint, internal server, or reporting pipeline. Payloads often include event name\/value, attribution identifiers, and timestamps. Security measures (signatures\/tokens) may be used.<\/p>\n<\/li>\n

    4. \n

      Output \/ Outcome (optimize + report):<\/strong>\n The receiving system uses the postback to:\n – update conversion reporting,\n – optimize delivery and bidding,\n – power dashboards and cohort analysis,\n – create audiences for retargeting (where permitted).<\/p>\n<\/li>\n<\/ol>\n\n\n\n

      This closed loop is foundational to scalable Mobile & App Marketing<\/strong>: event signals improve targeting, which improves acquisition efficiency, which drives better users, which generates better event signals.<\/p>\n\n\n\n

      Key Components of App Event Postback<\/h2>\n\n\n\n

      A strong App Event Postback<\/strong> setup depends on both technical plumbing and marketing governance. Common components include:<\/p>\n\n\n\n

        \n
      • Event instrumentation:<\/strong> App-side tracking via SDKs or first-party code; consistent firing across iOS\/Android.<\/li>\n
      • Event schema & taxonomy:<\/strong> Standardized names (e.g., signup_complete<\/code>, purchase<\/code>) and parameters (currency, value, product).<\/li>\n
      • Attribution logic:<\/strong> Rules that determine credit (click-through vs view-through, lookback windows, re-attribution).<\/li>\n
      • Postback configuration:<\/strong> Which events are sent, to whom, under what conditions, with what parameters.<\/li>\n
      • Identity & privacy controls:<\/strong> Consent status, limited data handling, and compliance with platform policies.<\/li>\n
      • Data quality processes:<\/strong> QA plans, versioning, monitoring, anomaly alerts, and change logs.<\/li>\n
      • Ownership & responsibilities:<\/strong> <\/li>\n
      • Marketing: defines KPIs and optimization events <\/li>\n
      • Analytics: validates definitions and reporting <\/li>\n
      • Engineering: implements\/maintains instrumentation and release processes <\/li>\n
      • Privacy\/Legal: reviews consent, data sharing, and retention <\/li>\n<\/ul>\n\n\n\n

        Types of App Event Postback<\/h2>\n\n\n\n

        \u201cTypes\u201d of App Event Postback<\/strong> are best understood as practical distinctions rather than strict categories:<\/p>\n\n\n\n

        1) Install postbacks vs in-app event postbacks<\/h3>\n\n\n\n
          \n
        • Install postback:<\/strong> Confirms an install and its attribution details.<\/li>\n
        • In-app event postback:<\/strong> Sends post-install actions such as login<\/em>, tutorial_complete<\/em>, purchase<\/em>, or subscribe<\/em>.<\/li>\n<\/ul>\n\n\n\n

          2) Attributed vs unattributed event postbacks<\/h3>\n\n\n\n
            \n
          • Attributed:<\/strong> Tied to a known campaign\/source, used for optimization and ROAS.<\/li>\n
          • Unattributed:<\/strong> Logged for analytics but not credited to a paid source (still useful for product insights and baseline conversion rates).<\/li>\n<\/ul>\n\n\n\n

            3) Real-time vs delayed\/aggregated<\/h3>\n\n\n\n
              \n
            • Real-time:<\/strong> Sent shortly after the event, ideal for optimization.<\/li>\n
            • Delayed\/aggregated:<\/strong> Sent later or in a summarized form due to privacy constraints, offline processing, or platform limitations.<\/li>\n<\/ul>\n\n\n\n

              4) Third-party-to-platform vs first-party internal postbacks<\/h3>\n\n\n\n
                \n
              • Third-party-to-platform:<\/strong> Often used to send conversion signals to ad platforms.<\/li>\n
              • First-party internal:<\/strong> Used between your backend services, data warehouse, and internal tools to keep a consistent \u201csource of truth.\u201d<\/li>\n<\/ul>\n\n\n\n

                Real-World Examples of App Event Postback<\/h2>\n\n\n\n

                Example 1: Subscription app optimizing for trial-to-paid<\/h3>\n\n\n\n

                A subscription app runs user acquisition campaigns and cares most about paid subscriptions<\/em>, not installs. The team configures App Event Postback<\/strong> for:\n– trial_start<\/code>\n– subscribe<\/code>\n– renewal<\/code> (where possible)<\/p>\n\n\n\n

                Campaigns are optimized toward subscribers, and reporting shifts from CPI to trial conversion rate and subscriber ROAS\u2014critical for sustainable Mobile & App Marketing<\/strong> growth.<\/p>\n\n\n\n

                Example 2: Mobile commerce app measuring revenue and margin<\/h3>\n\n\n\n

                An e-commerce app sends an App Event Postback on purchase<\/code> with value, currency, and product category. The marketing team uses the postback to:\n– evaluate ROAS by campaign and creative,\n– detect high-return segments,\n– reduce spend on audiences that buy low-margin items.<\/p>\n\n\n\n

                This ties ad spend to business outcomes, not vanity metrics, strengthening Mobile & App Marketing<\/strong> decision-making.<\/p>\n\n\n\n

                Example 3: Mobile game improving early retention<\/h3>\n\n\n\n

                A game posts back tutorial_complete<\/code> and level_5_reached<\/code> as early quality signals. The ad platform learns which users are likely to retain, and the studio can:\n– test creatives that attract \u201chigh-intent\u201d players,\n– reduce spend on sources generating drop-offs,\n– improve D1\/D7 retention through better targeting and onboarding alignment.<\/p>\n\n\n\n

                Benefits of Using App Event Postback<\/h2>\n\n\n\n

                A well-managed App Event Postback<\/strong> program can produce measurable improvements:<\/p>\n\n\n\n

                  \n
                • Higher performance and lower acquisition costs:<\/strong> Better conversion signals help platforms optimize to valuable users.<\/li>\n
                • More efficient experimentation:<\/strong> Faster attribution feedback accelerates creative and funnel tests.<\/li>\n
                • Better budget allocation:<\/strong> Spend shifts to campaigns driving downstream value (revenue, retention, repeat purchase).<\/li>\n
                • Improved user experience alignment:<\/strong> When optimization focuses on quality events, teams are incentivized to improve onboarding and product flow rather than chasing installs.<\/li>\n
                • Stronger reporting integrity:<\/strong> Clear event definitions and consistent postbacks reduce disputes over numbers across teams and partners.<\/li>\n<\/ul>\n\n\n\n

                  Challenges of App Event Postback<\/h2>\n\n\n\n

                  Despite its value, App Event Postback<\/strong> comes with real constraints:<\/p>\n\n\n\n

                    \n
                  • Data loss and privacy limits:<\/strong> Platform privacy rules can reduce granularity or delay attribution, impacting optimization.<\/li>\n
                  • Event duplication or misfiring:<\/strong> Poor instrumentation can inflate conversions and mislead bidding algorithms.<\/li>\n
                  • Inconsistent event naming:<\/strong> Small differences (purchase<\/code> vs Purchase<\/code>) can break dashboards and platform mappings.<\/li>\n
                  • Attribution complexity:<\/strong> Re-engagement, multi-touch journeys, and overlapping lookback windows can produce confusing results.<\/li>\n
                  • Versioning risk:<\/strong> App releases can change event behavior; without QA, postback accuracy degrades.<\/li>\n
                  • Governance and access:<\/strong> Too many stakeholders editing events without process leads to \u201cmeasurement drift.\u201d<\/li>\n<\/ul>\n\n\n\n

                    In Mobile & App Marketing<\/strong>, the hardest part is rarely sending a<\/em> postback\u2014it\u2019s ensuring the postback consistently represents the same business reality over time.<\/p>\n\n\n\n

                    Best Practices for App Event Postback<\/h2>\n\n\n\n

                    To make App Event Postback<\/strong> reliable and scalable, focus on these practices:<\/p>\n\n\n\n

                      \n
                    1. \n

                      Define an event taxonomy tied to business goals<\/strong>\n Choose a small set of \u201cnorth star\u201d optimization events (e.g., purchase<\/code>, subscribe<\/code>, lead_qualified<\/code>) and a supporting set of diagnostic events (e.g., add_to_cart<\/code>, trial_start<\/code>).<\/p>\n<\/li>\n

                    2. \n

                      Standardize parameters and data types<\/strong>\n Enforce consistent currency codes, value formats, and timestamps. Document exactly what each event means.<\/p>\n<\/li>\n

                    3. \n

                      Implement strict QA before and after releases<\/strong>\n Test events on both platforms, across common user paths, and on different OS versions. Monitor for drops\/spikes immediately after deployments.<\/p>\n<\/li>\n

                    4. \n

                      Deduplicate and validate server-side when possible<\/strong>\n Use transaction IDs or order IDs for purchases to prevent double counting.<\/p>\n<\/li>\n

                    5. \n

                      Separate \u201coptimization\u201d from \u201canalysis\u201d events<\/strong>\n Not every tracked event should be postbacked to ad platforms. Send only what improves learning and aligns with policy.<\/p>\n<\/li>\n

                    6. \n

                      Create monitoring and alerting<\/strong>\n Track event volume trends, missing parameters, and unusual conversion rates by channel. Treat anomalies as incidents.<\/p>\n<\/li>\n

                    7. \n

                      Align with privacy and consent requirements<\/strong>\n Make sure postbacks respect user choices and applicable regulations. Build processes that adapt as policies change.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                      Tools Used for App Event Postback<\/h2>\n\n\n\n

                      An App Event Postback<\/strong> workflow typically spans multiple tool categories in Mobile & App Marketing<\/strong>:<\/p>\n\n\n\n

                        \n
                      • Mobile measurement & attribution systems:<\/strong> Manage attribution logic and configure postbacks to media partners.<\/li>\n
                      • Product analytics tools:<\/strong> Validate funnels, cohorts, and event quality; reconcile postback totals vs in-app behavior.<\/li>\n
                      • Tag management and event routing (where applicable):<\/strong> Help standardize event definitions and control destinations.<\/li>\n
                      • Ad platforms and demand-side systems:<\/strong> Receive postbacks to optimize bidding, reporting, and campaign learning.<\/li>\n
                      • CRM and lifecycle messaging systems:<\/strong> Use event signals to trigger onboarding, retention, and win-back journeys (subject to consent and allowed identifiers).<\/li>\n
                      • Data warehouses and BI dashboards:<\/strong> Centralize event data, join with revenue and subscription tables, and provide trustworthy reporting.<\/li>\n
                      • Governance and QA tooling:<\/strong> Release tracking, anomaly detection, and documentation systems that prevent silent measurement failures.<\/li>\n<\/ul>\n\n\n\n

                        The main point: App Event Postback isn\u2019t a single tool\u2014it\u2019s a cross-system capability that must be designed and maintained.<\/p>\n\n\n\n

                        Metrics Related to App Event Postback<\/h2>\n\n\n\n

                        Because an App Event Postback<\/strong> is a measurement signal, its success should be judged using both marketing and data-quality metrics:<\/p>\n\n\n\n

                          \n
                        • Conversion rate by event:<\/strong> install \u2192 signup, signup \u2192 purchase, trial \u2192 paid.<\/li>\n
                        • Cost per event (CPE):<\/strong> cost per registration, cost per trial start, cost per purchase.<\/li>\n
                        • ROAS \/ revenue per install (RPI):<\/strong> especially when purchase values are included.<\/li>\n
                        • LTV and payback period:<\/strong> cohort-based profitability tied back to acquisition sources.<\/li>\n
                        • Retention metrics (D1\/D7\/D30):<\/strong> when retention-related events are postbacked or analyzed alongside acquisition.<\/li>\n
                        • Event match rate \/ coverage:<\/strong> percentage of observed in-app events successfully postbacked to required destinations.<\/li>\n
                        • Data latency:<\/strong> time from event occurrence to postback receipt.<\/li>\n
                        • Event quality indicators:<\/strong> missing parameters, duplicate rates, schema violations, abnormal spikes\/drops.<\/li>\n<\/ul>\n\n\n\n

                          In Mobile & App Marketing<\/strong>, improving \u201cmatch rate\u201d and reducing latency can materially improve optimization performance.<\/p>\n\n\n\n

                          Future Trends of App Event Postback<\/h2>\n\n\n\n

                          The future of App Event Postback<\/strong> is shaped by privacy, automation, and modeling:<\/p>\n\n\n\n

                            \n
                          • More aggregated and privacy-preserving measurement:<\/strong> Some ecosystems limit event granularity and timing, pushing marketers toward aggregated reporting and modeled conversions.<\/li>\n
                          • Server-side and first-party emphasis:<\/strong> Teams are investing more in first-party data pipelines and controlled event routing to improve durability.<\/li>\n
                          • AI-assisted optimization and anomaly detection:<\/strong> Automated systems increasingly detect broken events, suspicious spikes, and attribution shifts faster than manual checks.<\/li>\n
                          • Incrementality and experimentation integration:<\/strong> Postbacks will be paired more tightly with lift tests and geo experiments to validate true impact.<\/li>\n
                          • Personalization under constraints:<\/strong> Marketers will rely on on-device signals, contextual targeting, and consented first-party data to keep Mobile & App Marketing<\/strong> effective while respecting user privacy.<\/li>\n<\/ul>\n\n\n\n

                            As the ecosystem evolves, App Event Postback remains essential\u2014but the way events are shared and attributed will continue to change.<\/p>\n\n\n\n

                            App Event Postback vs Related Terms<\/h2>\n\n\n\n

                            Understanding nearby concepts helps avoid confusion:<\/p>\n\n\n\n

                            App Event Postback vs Conversion Tracking<\/h3>\n\n\n\n
                              \n
                            • Conversion tracking<\/strong> is the broader practice of measuring outcomes (installs, purchases, sign-ups).<\/li>\n
                            • App Event Postback<\/strong> is a specific mechanism for sending conversion\/event data from one system to another, often to power optimization.<\/li>\n<\/ul>\n\n\n\n

                              App Event Postback vs Webhook<\/h3>\n\n\n\n
                                \n
                              • A webhook<\/strong> is a general-purpose event notification pattern used in many software systems.<\/li>\n
                              • An App Event Postback<\/strong> is a marketing\/measurement-oriented callback that typically includes attribution context and is configured around advertising outcomes.<\/li>\n<\/ul>\n\n\n\n

                                App Event Postback vs Server-to-Server (S2S) Event<\/h3>\n\n\n\n
                                  \n
                                • Server-to-server event<\/strong> describes the transport method (server communicating to server).<\/li>\n
                                • App Event Postback<\/strong> often uses S2S transport, but specifically refers to sending app event outcomes to another party for attribution\/optimization.<\/li>\n<\/ul>\n\n\n\n

                                  Who Should Learn App Event Postback<\/h2>\n\n\n\n

                                  App Event Postback<\/strong> is worth learning for multiple roles:<\/p>\n\n\n\n

                                    \n
                                  • Marketers:<\/strong> to choose the right optimization events, interpret performance correctly, and avoid optimizing toward misleading metrics.<\/li>\n
                                  • Analysts:<\/strong> to reconcile platform reporting with internal truth, validate data quality, and build trustworthy dashboards.<\/li>\n
                                  • Agencies:<\/strong> to standardize client measurement, troubleshoot underperformance, and justify spend with outcome-based reporting.<\/li>\n
                                  • Business owners and founders:<\/strong> to understand what\u2019s measurable, what\u2019s attributable, and how marketing investment maps to revenue.<\/li>\n
                                  • Developers:<\/strong> to implement reliable instrumentation, manage SDK\/server changes, and ensure privacy-safe data sharing.<\/li>\n<\/ul>\n\n\n\n

                                    In Mobile & App Marketing<\/strong>, teams that share a common understanding of postbacks move faster and waste less budget.<\/p>\n\n\n\n

                                    Summary of App Event Postback<\/h2>\n\n\n\n

                                    An App Event Postback<\/strong> is a structured callback that sends in-app event data to another system\u2014often an ad platform or measurement layer\u2014so campaigns can be measured and optimized. It matters because it connects acquisition spend to real outcomes like revenue, retention, and subscriptions. Within Mobile & App Marketing<\/strong>, App Event Postback supports attribution, optimization, and performance reporting, enabling smarter budget decisions and more effective growth strategy.<\/p>\n\n\n\n

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

                                    1) What is an App Event Postback used for?<\/h3>\n\n\n\n

                                    An App Event Postback is used to notify another system\u2014often an ad platform\u2014that a specific in-app event occurred, so conversions can be attributed, reported, and used for optimization.<\/p>\n\n\n\n

                                    2) Which events should I send as postbacks?<\/h3>\n\n\n\n

                                    Send events that reflect real business value and stable intent, such as registration_complete<\/code>, trial_start<\/code>, purchase<\/code>, or subscribe<\/code>. Avoid sending too many low-signal events that add noise and complicate governance.<\/p>\n\n\n\n

                                    3) How does App Event Postback affect campaign optimization?<\/h3>\n\n\n\n

                                    It provides conversion signals that platforms use to learn which users to target and which placements\/creatives to prioritize. Better postbacks typically improve efficiency because optimization aligns to outcomes beyond installs.<\/p>\n\n\n\n

                                    4) What\u2019s the difference between an install postback and an in-app event postback?<\/h3>\n\n\n\n

                                    An install postback confirms the app install and its attribution details. An in-app event postback reports post-install actions (like purchases or onboarding milestones) that indicate user quality and value.<\/p>\n\n\n\n

                                    5) Why do my postback numbers not match my internal analytics?<\/h3>\n\n\n\n

                                    Common causes include attribution window differences, deduplication rules, time zone handling, privacy-related limitations, event misfires, or missing parameters. Establish a reconciliation process and monitor event quality metrics.<\/p>\n\n\n\n

                                    6) How does privacy impact App Event Postback?<\/h3>\n\n\n\n

                                    Privacy policies and consent requirements can limit what data can be shared, reduce granularity, or introduce delays\/aggregation. Plan for measurement gaps, prioritize first-party data quality, and use experiments to validate performance.<\/p>\n\n\n\n

                                    7) How does App Event Postback fit into Mobile & App Marketing measurement?<\/h3>\n\n\n\n

                                    In Mobile & App Marketing<\/strong>, it\u2019s the mechanism that turns user actions into measurable conversion signals across tools and platforms. It helps unify attribution, reporting, and optimization so teams can scale based on real business outcomes.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                    An **App Event Postback** is a behind-the-scenes message that sends information about a meaningful in-app action (an \u201cevent\u201d) from one system to another\u2014most commonly from an attribution or analytics layer to an ad platform\u2014so campaigns can be measured and optimized. In **Mobile & App Marketing**, it\u2019s one of the core mechanisms that turns user behavior (installs, sign-ups, purchases, subscriptions, level completes) into actionable performance data.<\/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-8578","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\/8578","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=8578"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/8578\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=8578"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=8578"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=8578"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}