{"id":8278,"date":"2026-03-25T21:28:43","date_gmt":"2026-03-25T21:28:43","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/reactivation-rate\/"},"modified":"2026-03-25T21:28:43","modified_gmt":"2026-03-25T21:28:43","slug":"reactivation-rate","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/reactivation-rate\/","title":{"rendered":"Reactivation Rate: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Push Notification Marketing"},"content":{"rendered":"\n

Reactivation Rate measures how effectively you bring inactive customers or users back into meaningful activity. In Direct & Retention Marketing<\/strong>, it answers a high-stakes question: when engagement drops, can your messaging and lifecycle strategy recover the relationship without relying on constant acquisition?<\/p>\n\n\n\n

This concept is especially important in Push Notification Marketing<\/strong>, where you often have a fast, low-friction way to reach app users and prompt a return visit, purchase, or other valuable action. A strong Reactivation Rate<\/strong> signals healthy lifecycle programs, better customer economics, and smarter segmentation\u2014not just louder messaging.<\/p>\n\n\n\n

What Is Reactivation Rate?<\/h2>\n\n\n\n

Reactivation Rate<\/strong> is the percentage of previously inactive users (or customers) who become active again within a defined time window after a reactivation effort or within a monitoring period.<\/p>\n\n\n\n

At its core, it\u2019s a lifecycle performance metric: it quantifies how well you \u201cwake up\u201d dormant audiences. The business meaning is straightforward: reactivating an existing user is often cheaper and faster than acquiring a new one, and it can meaningfully improve retention, revenue, and LTV.<\/p>\n\n\n\n

Where it fits in Direct & Retention Marketing<\/strong>:\n– It sits between churn prevention and win-back programs.\n– It\u2019s commonly used in lifecycle automation, CRM, and engagement analytics.\n– It informs strategy decisions like offer design, messaging cadence, and channel mix.<\/p>\n\n\n\n

Its role inside Push Notification Marketing<\/strong>:\n– Push is frequently a primary reactivation channel for apps because of immediacy and high visibility.\n– Reactivation Rate<\/strong> helps you evaluate whether push campaigns truly re-engage users or simply generate short-lived opens without downstream value.<\/p>\n\n\n\n

A simple way to express it:<\/p>\n\n\n\n

    \n
  • Reactivation Rate = Reactivated users \u00f7 Eligible inactive users (or targeted inactive users) \u00d7 100<\/strong><\/li>\n<\/ul>\n\n\n\n

    The key is that \u201cinactive,\u201d \u201creactivated,\u201d and the \u201ctime window\u201d must be defined consistently.<\/p>\n\n\n\n

    Why Reactivation Rate Matters in Direct & Retention Marketing<\/h2>\n\n\n\n

    In Direct & Retention Marketing<\/strong>, growth is not just acquisition\u2014it\u2019s keeping and recovering customers. Reactivation Rate<\/strong> matters because it connects lifecycle execution to measurable business outcomes:<\/p>\n\n\n\n

      \n
    • Improves unit economics:<\/strong> Reactivation can reduce dependence on paid acquisition and lower blended CAC impact.<\/li>\n
    • Expands revenue from the same audience:<\/strong> Re-activated users often convert faster than brand-new users because they already understand the product.<\/li>\n
    • Validates segmentation and personalization:<\/strong> If your segments and triggers are accurate, Reactivation Rate<\/strong> rises without excessive discounting.<\/li>\n
    • Protects deliverability and channel health:<\/strong> Monitoring reactivation prevents over-messaging, especially in Push Notification Marketing<\/strong> where fatigue can quickly lead to opt-outs.<\/li>\n
    • Creates competitive advantage:<\/strong> Companies that systematically recover dormant users compound growth\u2014particularly in subscription, marketplaces, fintech, and eCommerce.<\/li>\n<\/ul>\n\n\n\n

      In practical terms, Reactivation Rate<\/strong> is a diagnostic: it tells you whether inactivity is reversible through better lifecycle marketing or whether deeper product, pricing, or value issues are driving disengagement.<\/p>\n\n\n\n

      How Reactivation Rate Works<\/h2>\n\n\n\n

      Reactivation Rate<\/strong> is conceptual, but it becomes operational when you define the lifecycle rules and measurement steps used in Direct & Retention Marketing<\/strong> and Push Notification Marketing<\/strong>.<\/p>\n\n\n\n

        \n
      1. \n

        Input \/ trigger: identify inactivity<\/strong>\n – Define inactivity thresholds (e.g., no sessions in 14 days, no purchases in 60 days, no key event in 30 days).\n – Build \u201cdormant\u201d segments based on behavior, recency, frequency, and customer status (trial, subscriber, lapsed buyer).<\/p>\n<\/li>\n

      2. \n

        Analysis \/ processing: choose a reactivation definition<\/strong>\n – Decide what \u201creactivated\u201d means: app open, product view, add-to-cart, purchase, subscription renewal, or a \u201ccore activation event.\u201d\n – Choose a measurement window (e.g., within 3 days of message, within 7 days of campaign start).<\/p>\n<\/li>\n

      3. \n

        Execution \/ application: run reactivation plays<\/strong>\n – Launch win-back flows via Push Notification Marketing<\/strong>, email, in-app messaging, SMS, or paid retargeting.\n – Apply personalization: prior category interest, last purchase, location, predicted intent, or feature usage.<\/p>\n<\/li>\n

      4. \n

        Output \/ outcome: calculate and interpret<\/strong>\n – Compute Reactivation Rate<\/strong> for the dormant cohort, targeted group, or by channel\/campaign.\n – Evaluate quality: are reactivated users sticking around, converting, or just briefly returning?<\/p>\n<\/li>\n<\/ol>\n\n\n\n

        A reliable Reactivation Rate<\/strong> program doesn\u2019t just count returns\u2014it ties the return to meaningful value and sustained engagement.<\/p>\n\n\n\n

        Key Components of Reactivation Rate<\/h2>\n\n\n\n

        To make Reactivation Rate<\/strong> actionable in Direct & Retention Marketing<\/strong>, you need consistent definitions, clean data, and clear ownership.<\/p>\n\n\n\n

        Core definitions and governance<\/h3>\n\n\n\n
          \n
        • Inactivity rule:<\/strong> the exact criteria that makes someone \u201cinactive.\u201d<\/li>\n
        • Reactivation event:<\/strong> the action that qualifies as \u201cback.\u201d<\/li>\n
        • Time window:<\/strong> when the reactivation must occur to count.<\/li>\n
        • Exclusions:<\/strong> bots, refunded orders, fraud accounts, employees, test devices, and recently active users.<\/li>\n<\/ul>\n\n\n\n

          Data inputs<\/h3>\n\n\n\n
            \n
          • Event tracking (sessions, screen views, purchases, key events)<\/li>\n
          • User identifiers (device ID, user ID, hashed email where appropriate)<\/li>\n
          • Channel permissions (push opt-in status, notification settings, quiet hours)<\/li>\n
          • Customer attributes (plan type, last order value, lifecycle stage)<\/li>\n<\/ul>\n\n\n\n

            Systems and processes<\/h3>\n\n\n\n
              \n
            • CRM or customer engagement platform to orchestrate lifecycle flows<\/li>\n
            • Analytics layer to build cohorts and calculate outcomes<\/li>\n
            • Experimentation process (A\/B tests for message, timing, incentives)<\/li>\n
            • QA and monitoring (tracking validation, delivery vs opens vs downstream events)<\/li>\n<\/ul>\n\n\n\n

              Team responsibilities<\/h3>\n\n\n\n
                \n
              • Marketing owns strategy, offers, and messaging<\/li>\n
              • Analytics owns definitions, measurement, and reporting<\/li>\n
              • Engineering\/data teams ensure instrumentation and identity resolution<\/li>\n
              • Product supports in-app experiences that fulfill reactivation promises<\/li>\n<\/ul>\n\n\n\n

                Types of Reactivation Rate<\/h2>\n\n\n\n

                \u201cTypes\u201d of Reactivation Rate<\/strong> are usually practical variants rather than formal categories. The most useful distinctions in Direct & Retention Marketing<\/strong> and Push Notification Marketing<\/strong> include:<\/p>\n\n\n\n

                1) Cohort Reactivation Rate<\/h3>\n\n\n\n

                Measures reactivation for a specific dormant cohort (e.g., users inactive for 30\u201360 days). This helps compare segments with different likelihoods of returning.<\/p>\n\n\n\n

                2) Campaign or Flow Reactivation Rate<\/h3>\n\n\n\n

                Measures users reactivated after a specific campaign\/automation (e.g., a 3-step push win-back flow). This is the most common use in Push Notification Marketing<\/strong>.<\/p>\n\n\n\n

                3) Channel-specific Reactivation Rate<\/h3>\n\n\n\n

                Separates reactivation driven by push vs email vs SMS vs in-app. This is critical when budgets or channel constraints force trade-offs.<\/p>\n\n\n\n

                4) \u201cMeaningful\u201d Reactivation Rate<\/h3>\n\n\n\n

                Counts only high-value reactivation events (e.g., purchase, renewal, or completing a core action) to avoid optimizing for shallow metrics.<\/p>\n\n\n\n

                5) Revenue Reactivation Rate (or reactivated revenue share)<\/h3>\n\n\n\n

                Focuses on how much revenue comes from previously inactive users, complementing user-based Reactivation Rate<\/strong> with financial impact.<\/p>\n\n\n\n

                Real-World Examples of Reactivation Rate<\/h2>\n\n\n\n

                Example 1: eCommerce app win-back via Push Notification Marketing<\/h3>\n\n\n\n

                A retailer defines inactive users as \u201cno app session in 21 days.\u201d Reactivation is defined as \u201csession + product view\u201d within 72 hours of a message. They run a two-step push sequence: first a personalized category reminder, then a low-friction incentive (free shipping).<\/p>\n\n\n\n

                They track Reactivation Rate<\/strong> by segment (high-value vs bargain shoppers) and discover high-value users respond better to personalized new-arrivals pushes than discounts. This improves Direct & Retention Marketing<\/strong> ROI while reducing margin erosion.<\/p>\n\n\n\n

                Example 2: Subscription product recovering trial drop-offs<\/h3>\n\n\n\n

                A SaaS app defines inactivity as \u201cno key feature used in 7 days during trial.\u201d Reactivation is \u201ckey feature used\u201d within 48 hours after messaging. They use Push Notification Marketing<\/strong> plus in-app prompts to guide users back to a specific activation moment (not just an app open).<\/p>\n\n\n\n

                They measure Reactivation Rate<\/strong> for each onboarding path and find a particular segment needs a simpler setup step. The result is better trial-to-paid conversion driven by lifecycle improvements, not more acquisition spend.<\/p>\n\n\n\n

                Example 3: Marketplace reactivation tied to inventory and intent<\/h3>\n\n\n\n

                A marketplace defines dormant users as \u201cno search or saved item interaction in 30 days.\u201d They trigger reactivation pushes only when relevant inventory appears (price drop, back-in-stock, saved search match). Reactivation is \u201csearch + seller contact\u201d within 7 days.<\/p>\n\n\n\n

                This approach lifts Reactivation Rate<\/strong> while keeping opt-out rates low because pushes are event-driven and genuinely useful\u2014an ideal pattern in Direct & Retention Marketing<\/strong> and Push Notification Marketing<\/strong>.<\/p>\n\n\n\n

                Benefits of Using Reactivation Rate<\/h2>\n\n\n\n

                Using Reactivation Rate<\/strong> as a core metric produces tangible improvements beyond a single campaign report:<\/p>\n\n\n\n

                  \n
                • Better lifecycle prioritization:<\/strong> You can identify which dormant cohorts are most recoverable and focus effort where it pays.<\/li>\n
                • Lower costs over time:<\/strong> Reactivation reduces the need for constant top-of-funnel replacement of churned users.<\/li>\n
                • Higher LTV and retention lift:<\/strong> Reactivated customers can re-enter habit loops, renewing subscriptions or restarting purchase cycles.<\/li>\n
                • More efficient messaging:<\/strong> In Push Notification Marketing<\/strong>, optimizing for Reactivation Rate<\/strong> encourages relevance over volume, improving long-term channel performance.<\/li>\n
                • Improved customer experience:<\/strong> Timely, personalized nudges feel helpful when they match user intent and context.<\/li>\n<\/ul>\n\n\n\n

                  Challenges of Reactivation Rate<\/h2>\n\n\n\n

                  Reactivation Rate<\/strong> is powerful, but it\u2019s easy to mis-measure or misinterpret\u2014especially in multi-channel Direct & Retention Marketing<\/strong>.<\/p>\n\n\n\n

                    \n
                  • Ambiguous definitions:<\/strong> If \u201cinactive\u201d and \u201creactivated\u201d are fuzzy, results won\u2019t be comparable across time or teams.<\/li>\n
                  • Attribution complexity:<\/strong> Users might return organically or via another channel; attributing reactivation to Push Notification Marketing<\/strong> requires careful methodology (holdouts, incrementality tests).<\/li>\n
                  • Short-term bias:<\/strong> It\u2019s possible to raise Reactivation Rate<\/strong> with aggressive offers that hurt margin or train customers to wait for discounts.<\/li>\n
                  • Notification fatigue and opt-outs:<\/strong> Overusing push can reduce reachable audience size and degrade future performance.<\/li>\n
                  • Data quality issues:<\/strong> Missing events, identity fragmentation across devices, and late-arriving data can skew calculations.<\/li>\n
                  • Platform and privacy constraints:<\/strong> OS-level permission changes and user settings can reduce deliverability, affecting reactivation measurement.<\/li>\n<\/ul>\n\n\n\n

                    Best Practices for Reactivation Rate<\/h2>\n\n\n\n

                    To improve Reactivation Rate<\/strong> in Direct & Retention Marketing<\/strong> without damaging trust or profitability:<\/p>\n\n\n\n

                      \n
                    1. \n

                      Define reactivation as a value event<\/strong>\n – Prefer \u201cmeaningful reactivation\u201d (purchase, renewal, core action) over mere opens.<\/p>\n<\/li>\n

                    2. \n

                      Segment by dormancy duration<\/strong>\n – Users inactive for 7\u201314 days behave differently than those inactive for 90+ days. Create tailored plays.<\/p>\n<\/li>\n

                    3. \n

                      Use progressive intensity<\/strong>\n – Start with helpful reminders, then escalate to stronger incentives only if needed.<\/p>\n<\/li>\n

                    4. \n

                      Personalize based on prior intent<\/strong>\n – In Push Notification Marketing<\/strong>, reference last category viewed, saved items, or milestone progress.<\/p>\n<\/li>\n

                    5. \n

                      Control frequency and timing<\/strong>\n – Apply quiet hours, frequency caps, and time zone awareness to prevent fatigue.<\/p>\n<\/li>\n

                    6. \n

                      Test incrementality, not just clicks<\/strong>\n – Use holdout groups to estimate how much lift push actually drives in Reactivation Rate<\/strong>.<\/p>\n<\/li>\n

                    7. \n

                      Track downstream retention<\/strong>\n – Monitor whether reactivated users remain active in 7\/30 days, not just the immediate return.<\/p>\n<\/li>\n

                    8. \n

                      Align product and marketing<\/strong>\n – If reactivated users bounce, the issue may be product value, onboarding friction, or inventory\u2014not messaging.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                      Tools Used for Reactivation Rate<\/h2>\n\n\n\n

                      You don\u2019t \u201cbuy\u201d Reactivation Rate<\/strong>\u2014you operationalize it with the right measurement and activation stack in Direct & Retention Marketing<\/strong> and Push Notification Marketing<\/strong>.<\/p>\n\n\n\n

                      Common tool categories include:<\/p>\n\n\n\n

                        \n
                      • Analytics tools:<\/strong> cohort analysis, funnel tracking, retention dashboards, event QA, and segmentation.<\/li>\n
                      • Customer engagement\/automation tools:<\/strong> lifecycle orchestration for push, in-app, email, and SMS; journey builders; frequency caps.<\/li>\n
                      • CRM systems:<\/strong> customer profiles, purchase history, support signals, and lifecycle status.<\/li>\n
                      • Data warehouses and ELT\/ETL pipelines:<\/strong> unify events and customer records for reliable cohort definitions.<\/li>\n
                      • Experimentation and feature flag tools:<\/strong> holdouts, A\/B testing, and incremental lift measurement.<\/li>\n
                      • Reporting dashboards:<\/strong> executive-ready monitoring of Reactivation Rate<\/strong> by cohort, channel, and campaign.<\/li>\n<\/ul>\n\n\n\n

                        For Push Notification Marketing<\/strong>, the most important capabilities are permission tracking, delivery reporting, deep-link handling, and user-level targeting based on behavioral triggers.<\/p>\n\n\n\n

                        Metrics Related to Reactivation Rate<\/h2>\n\n\n\n

                        Reactivation Rate<\/strong> is best interpreted alongside supporting metrics that reveal quality, cost, and sustainability:<\/p>\n\n\n\n

                          \n
                        • Opt-in rate \/ reachable audience:<\/strong> determines how many users can receive push reactivation messages.<\/li>\n
                        • Delivery rate and bounce\/error rate:<\/strong> identifies technical issues affecting push reach.<\/li>\n
                        • Open rate and click-through rate:<\/strong> useful diagnostics, but not substitutes for reactivation.<\/li>\n
                        • Conversion rate after reactivation:<\/strong> purchase, renewal, or key event completion among reactivated users.<\/li>\n
                        • Time-to-reactivation:<\/strong> how quickly users return after a trigger or message.<\/li>\n
                        • Repeat activity \/ re-retention:<\/strong> 7-day or 30-day retention after reactivation.<\/li>\n
                        • Revenue per reactivated user:<\/strong> connects Direct & Retention Marketing<\/strong> activity to financial outcomes.<\/li>\n
                        • Opt-out\/unsubscribe rate and complaint signals:<\/strong> indicates fatigue risk in Push Notification Marketing<\/strong>.<\/li>\n<\/ul>\n\n\n\n

                          Future Trends of Reactivation Rate<\/h2>\n\n\n\n

                          Reactivation Rate<\/strong> is evolving as Direct & Retention Marketing<\/strong> becomes more automated, privacy-aware, and personalized.<\/p>\n\n\n\n

                            \n
                          • AI-driven propensity modeling:<\/strong> Predict who is likely to churn or re-engage, enabling earlier, lighter-touch interventions.<\/li>\n
                          • Next-best-action personalization:<\/strong> Automated selection of message, timing, and channel based on context and history\u2014especially impactful for Push Notification Marketing<\/strong>.<\/li>\n
                          • Incrementality-first measurement:<\/strong> More teams will adopt holdouts and causal testing because attribution is increasingly uncertain.<\/li>\n
                          • Privacy and platform constraints:<\/strong> With changing permissions and measurement limits, durable Reactivation Rate<\/strong> programs will rely on first-party data quality and clear consent.<\/li>\n
                          • Value-based lifecycle optimization:<\/strong> Teams will optimize not just for returns, but for profitable and sustained reactivation, integrating margin and churn risk into decisions.<\/li>\n<\/ul>\n\n\n\n

                            Reactivation Rate vs Related Terms<\/h2>\n\n\n\n

                            Understanding adjacent metrics prevents confusion in reporting and strategy discussions:<\/p>\n\n\n\n

                              \n
                            • Reactivation Rate vs Retention Rate<\/strong><\/li>\n
                            • Retention measures ongoing continuity of activity among existing users.<\/li>\n
                            • \n

                              Reactivation Rate<\/strong> focuses specifically on users who became inactive and then returned.<\/p>\n<\/li>\n

                            • \n

                              Reactivation Rate vs Churn Rate<\/strong><\/p>\n<\/li>\n

                            • Churn measures the rate at which users stop being active or paying.<\/li>\n
                            • \n

                              Reactivation Rate<\/strong> measures recovery after inactivity (a counterforce to churn).<\/p>\n<\/li>\n

                            • \n

                              Reactivation Rate vs Win-back Rate \/ Re-engagement Rate<\/strong><\/p>\n<\/li>\n

                            • Win-back often implies a targeted campaign to regain lapsed customers, sometimes with incentives.<\/li>\n
                            • Re-engagement can be broader, including mildly inactive users.<\/li>\n
                            • Reactivation Rate<\/strong> is the measurable outcome that can apply to either approach, especially in Direct & Retention Marketing<\/strong> programs.<\/li>\n<\/ul>\n\n\n\n

                              Who Should Learn Reactivation Rate<\/h2>\n\n\n\n

                              Reactivation Rate<\/strong> is relevant across roles because it sits at the intersection of data, messaging, and customer value:<\/p>\n\n\n\n

                                \n
                              • Marketers:<\/strong> to design lifecycle journeys and evaluate Push Notification Marketing<\/strong> beyond opens and clicks.<\/li>\n
                              • Analysts:<\/strong> to define cohorts, ensure measurement integrity, and quantify incremental lift.<\/li>\n
                              • Agencies:<\/strong> to prove retention impact, not just campaign activity, for clients investing in Direct & Retention Marketing<\/strong>.<\/li>\n
                              • Business owners and founders:<\/strong> to understand whether growth is durable and whether retention systems reduce acquisition dependency.<\/li>\n
                              • Developers and product teams:<\/strong> to instrument events correctly, support deep links, and remove friction that blocks reactivation.<\/li>\n<\/ul>\n\n\n\n

                                Summary of Reactivation Rate<\/h2>\n\n\n\n

                                Reactivation Rate<\/strong> measures the share of inactive users who return to meaningful activity within a defined window. It matters because it quantifies how well your lifecycle strategy recovers dormant audiences, improves LTV, and strengthens unit economics in Direct & Retention Marketing<\/strong>. When used well, it turns Push Notification Marketing<\/strong> into a high-signal re-engagement channel\u2014optimized for relevance, value, and sustainable customer relationships.<\/p>\n\n\n\n

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

                                1) What is a good Reactivation Rate?<\/h3>\n\n\n\n

                                A \u201cgood\u201d Reactivation Rate<\/strong> depends on your industry, dormancy definition, and what counts as reactivation. Compare against your own historical baseline by cohort (e.g., 14-day inactive vs 60-day inactive) and prioritize improvements in meaningful reactivation events like purchases or key feature use.<\/p>\n\n\n\n

                                2) How do I define \u201cinactive\u201d for Reactivation Rate reporting?<\/h3>\n\n\n\n

                                Pick an inactivity window that reflects your natural usage cycle. Daily-use apps might use 7\u201314 days; shopping apps may use 21\u201345 days; subscriptions may use billing-cycle signals. In Direct & Retention Marketing<\/strong>, document this definition so results stay consistent over time.<\/p>\n\n\n\n

                                3) How does Push Notification Marketing influence Reactivation Rate?<\/h3>\n\n\n\n

                                Push Notification Marketing<\/strong> can raise Reactivation Rate<\/strong> by reaching users quickly with timely, personalized prompts. The biggest lifts usually come from event-triggered messages (price drops, content releases, reminders) rather than generic blasts.<\/p>\n\n\n\n

                                4) Should Reactivation Rate be calculated from \u201ctargeted\u201d users or \u201celigible\u201d users?<\/h3>\n\n\n\n

                                Both can be useful. \u201cTargeted\u201d reflects campaign execution performance; \u201celigible\u201d reflects broader lifecycle health. In Direct & Retention Marketing<\/strong>, report both when possible to separate strategy from operational reach constraints like push opt-in rates.<\/p>\n\n\n\n

                                5) How can I tell if reactivation is incremental or would have happened anyway?<\/h3>\n\n\n\n

                                Use holdout groups or controlled experiments where a portion of eligible inactive users does not receive the message. The difference in outcomes estimates incremental lift in Reactivation Rate<\/strong>, which is more reliable than last-touch attribution.<\/p>\n\n\n\n

                                6) What\u2019s the biggest mistake teams make with Reactivation Rate?<\/h3>\n\n\n\n

                                Optimizing for superficial returns\u2014like app opens\u2014without tracking downstream value and re-retention. A high Reactivation Rate<\/strong> is only meaningful if reactivated users stick, convert, or return to core usage patterns.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                Reactivation Rate measures how effectively you bring inactive customers or users back into meaningful activity. In **Direct & Retention Marketing**, it answers a high-stakes question: when engagement drops, can your messaging and lifecycle strategy recover the relationship without relying on constant acquisition?<\/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":[1895],"tags":[],"class_list":["post-8278","post","type-post","status-publish","format-standard","hentry","category-push-notification-marketing"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/8278","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=8278"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/8278\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=8278"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=8278"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=8278"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}