{"id":8306,"date":"2026-03-25T22:28:19","date_gmt":"2026-03-25T22:28:19","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/push-notification-incrementality\/"},"modified":"2026-03-25T22:28:19","modified_gmt":"2026-03-25T22:28:19","slug":"push-notification-incrementality","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/push-notification-incrementality\/","title":{"rendered":"Push Notification Incrementality: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Push Notification Marketing"},"content":{"rendered":"\n

Push notifications are one of the fastest ways to reach existing users\u2014but speed doesn\u2019t equal value. Push Notification Incrementality<\/strong> is the practice of measuring how much additional behavior (opens, purchases, renewals, sessions, or other outcomes) your push notifications cause<\/em> beyond what would have happened anyway.<\/p>\n\n\n\n

In Direct & Retention Marketing<\/strong>, this distinction matters because many customers would have converted without a nudge, while others may convert only because the message arrived at the right time. Push Notification Marketing<\/strong> teams that understand incrementality can grow revenue and engagement without over-notifying, wasting budget, or misreading performance.<\/p>\n\n\n\n

Done well, Push Notification Incrementality<\/strong> turns push from \u201cwe sent a campaign and saw conversions\u201d into \u201cwe proved the campaign created net new conversions\u2014and we know for whom, when, and at what cost.\u201d<\/p>\n\n\n\n

\n\n\n\n

What Is Push Notification Incrementality?<\/h2>\n\n\n\n

Push Notification Incrementality<\/strong> is the measurable incremental lift<\/em> attributable to a push notification campaign or program. In plain terms: it\u2019s the difference between outcomes for people who received push notifications and the outcomes that would have occurred if they had not received them.<\/p>\n\n\n\n

The core concept is causality. Instead of asking, \u201cHow many conversions happened after a push?\u201d incrementality asks, \u201cHow many conversions happened because of<\/em> that push?\u201d<\/p>\n\n\n\n

From a business perspective, Push Notification Incrementality<\/strong> answers questions like:<\/p>\n\n\n\n

    \n
  • Are pushes generating net new purchases, or merely shifting the timing of purchases that were going to happen anyway?<\/li>\n
  • Are pushes improving retention, or just re-engaging already-active users?<\/li>\n
  • Is pushing more often increasing total value, or creating fatigue that harms long-term outcomes?<\/li>\n<\/ul>\n\n\n\n

    In Direct & Retention Marketing<\/strong>, incrementality provides a reality check for channel effectiveness and helps allocate effort across email, SMS, in-app messaging, paid remarketing, and Push Notification Marketing<\/strong>. It also helps teams avoid \u201cvanity attribution\u201d where credit is assigned to the last message a user saw rather than the true driver.<\/p>\n\n\n\n

    \n\n\n\n

    Why Push Notification Incrementality Matters in Direct & Retention Marketing<\/h2>\n\n\n\n

    Direct & Retention Marketing<\/strong> is about maximizing lifetime value, not just short-term clicks. Push Notification Incrementality<\/strong> matters because push is inherently interruptive and easy to overuse\u2014especially when dashboards show positive-looking attribution.<\/p>\n\n\n\n

    Key reasons incrementality is strategically important:<\/p>\n\n\n\n

      \n
    • Prevents over-messaging:<\/strong> If conversions aren\u2019t incremental, sending more pushes only increases annoyance and opt-outs.<\/li>\n
    • Improves ROI and prioritization:<\/strong> Incrementality separates \u201chigh-performing\u201d campaigns from \u201chigh-credit\u201d campaigns, guiding where to invest.<\/li>\n
    • Protects long-term retention:<\/strong> A push strategy that boosts weekly conversions but increases churn next month is a net loss. Incrementality can incorporate longer windows.<\/li>\n
    • Creates competitive advantage:<\/strong> Teams that measure causality can optimize timing, targeting, and frequency faster than competitors relying on surface metrics.<\/li>\n<\/ul>\n\n\n\n

      Within Push Notification Marketing<\/strong>, incrementality is often the difference between a channel that quietly drives profitable growth and one that merely cannibalizes organic behavior while eroding trust.<\/p>\n\n\n\n

      \n\n\n\n

      How Push Notification Incrementality Works<\/h2>\n\n\n\n

      Push Notification Incrementality<\/strong> is more of a measurement discipline than a single button you turn on. In practice, it works through a structured approach:<\/p>\n\n\n\n

        \n
      1. \n

        Input (audience, trigger, and hypothesis)<\/strong>\n You define who the push is for, what action triggers it (or what schedule), and what you believe will change (purchase rate, session frequency, renewal, etc.). In Direct & Retention Marketing<\/strong>, the hypothesis should include both short-term and long-term effects.<\/p>\n<\/li>\n

      2. \n

        Analysis design (create a credible counterfactual)<\/strong>\n Incrementality requires a comparison against what would have happened without push. The best approach is typically a randomized control group (holdout), where a portion of eligible users does not receive the push.<\/p>\n<\/li>\n

      3. \n

        Execution (run the experiment in production)<\/strong>\n The campaign runs normally for the treatment group, while the holdout receives nothing (or a different message, depending on the test). In Push Notification Marketing<\/strong>, careful execution means consistent eligibility rules, stable frequency caps, and clean exclusions.<\/p>\n<\/li>\n

      4. \n

        Output (incremental lift and business interpretation)<\/strong>\n You calculate the net difference in outcomes between groups, quantify uncertainty, and translate it into business value (incremental revenue, incremental retained users, incremental sessions). The result is Push Notification Incrementality<\/strong>\u2014not just performance, but caused<\/em> impact.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

        \n\n\n\n

        Key Components of Push Notification Incrementality<\/h2>\n\n\n\n

        To measure Push Notification Incrementality<\/strong> reliably, you need more than campaign reporting. The major components include:<\/p>\n\n\n\n

        Data inputs<\/h3>\n\n\n\n
          \n
        • Push delivery, open, and interaction logs (send time, device, platform)<\/li>\n
        • User identity and event tracking (sessions, add-to-cart, purchase, renewal)<\/li>\n
        • Audience definitions and eligibility signals (last active date, lifecycle stage)<\/li>\n
        • Consent\/opt-in status and notification settings<\/li>\n<\/ul>\n\n\n\n

          Processes and governance<\/h3>\n\n\n\n
            \n
          • Clear experimentation standards (who can create holdouts, minimum sample sizes)<\/li>\n
          • A measurement plan (primary metric, guardrail metrics, time window)<\/li>\n
          • QA and instrumentation checks (ensuring events fire correctly across devices)<\/li>\n<\/ul>\n\n\n\n

            Metrics and interpretation<\/h3>\n\n\n\n
              \n
            • Incremental conversion rate and incremental revenue<\/li>\n
            • Opt-out\/unsubscribe rate as a guardrail<\/li>\n
            • Downstream effects (repeat purchases, churn, customer support contacts)<\/li>\n<\/ul>\n\n\n\n

              In Direct & Retention Marketing<\/strong>, ownership often spans marketing, analytics, product, and engineering. In Push Notification Marketing<\/strong>, a shared definition of \u201cincremental\u201d prevents teams from optimizing toward misleading KPIs.<\/p>\n\n\n\n

              \n\n\n\n

              Types of Push Notification Incrementality<\/h2>\n\n\n\n

              There aren\u2019t \u201cofficial\u201d types like a taxonomy, but there are practical and widely used distinctions in how Push Notification Incrementality<\/strong> is evaluated:<\/p>\n\n\n\n

              Campaign-level vs program-level incrementality<\/h3>\n\n\n\n
                \n
              • Campaign-level:<\/strong> Measures lift from a single campaign (e.g., weekend sale push).<\/li>\n
              • Program-level:<\/strong> Measures the incremental value of your entire push program, including triggered flows and broadcasts.<\/li>\n<\/ul>\n\n\n\n

                Short-window vs long-window incrementality<\/h3>\n\n\n\n
                  \n
                • Short-window:<\/strong> Focuses on immediate actions (e.g., conversion within 24 hours).<\/li>\n
                • Long-window:<\/strong> Captures retention and delayed conversions (e.g., 14\u201330 days), critical in Direct & Retention Marketing<\/strong>.<\/li>\n<\/ul>\n\n\n\n

                  User-level vs segment-level incrementality<\/h3>\n\n\n\n
                    \n
                  • User-level:<\/strong> Uses randomized assignment at the user\/device level.<\/li>\n
                  • Segment-level:<\/strong> Focuses on lift for lifecycle cohorts (new users, lapsed users, VIPs), a common need in Push Notification Marketing<\/strong> personalization.<\/li>\n<\/ul>\n\n\n\n

                    Incrementality with guardrails<\/h3>\n\n\n\n

                    Some teams define incrementality as \u201clift that remains after accounting for negative effects,\u201d such as increased opt-outs, reduced app ratings, or higher churn.<\/p>\n\n\n\n

                    \n\n\n\n

                    Real-World Examples of Push Notification Incrementality<\/h2>\n\n\n\n

                    Example 1: Ecommerce \u201cprice drop\u201d trigger vs organic return visits<\/h3>\n\n\n\n

                    A retailer runs a price-drop push to users who viewed a product in the last week. Reporting shows strong conversions after the push. To measure Push Notification Incrementality<\/strong>, they hold out 10% of eligible users.<\/p>\n\n\n\n

                      \n
                    • Treatment converts at 3.0%; holdout converts at 2.4% <\/li>\n
                    • Incremental lift: 0.6 percentage points (25% relative lift)<\/li>\n<\/ul>\n\n\n\n

                      The team learns push is incremental\u2014but only for users inactive for 48+ hours. In Direct & Retention Marketing<\/strong>, they update targeting to reduce sends to already-active users, improving profit and reducing fatigue. In Push Notification Marketing<\/strong>, they also add guardrails for opt-out rate.<\/p>\n\n\n\n

                      Example 2: Media app \u201cbreaking news\u201d frequency and churn risk<\/h3>\n\n\n\n

                      A news app sends frequent breaking alerts. Engagement looks high, but churn is creeping up. They run a controlled test where a holdout receives fewer pushes over 21 days.<\/p>\n\n\n\n

                        \n
                      • Short-term sessions decrease slightly for holdout <\/li>\n
                      • But holdout has lower opt-out rate and higher 30-day retention<\/li>\n<\/ul>\n\n\n\n

                        Here, Push Notification Incrementality<\/strong> reveals a tradeoff: some sessions are incremental, but excessive frequency harms long-term retention. The team adjusts frequency caps and prioritizes relevance\u2014core to sustainable Direct & Retention Marketing<\/strong> and responsible Push Notification Marketing<\/strong>.<\/p>\n\n\n\n

                        Example 3: Subscription \u201crenewal reminder\u201d timing optimization<\/h3>\n\n\n\n

                        A subscription service tests renewal reminders at 7 days vs 3 days before renewal, with a no-push holdout. The analysis shows:\n– 7-day reminder increases early renewals but doesn\u2019t change total renewals (timing shift)\n– 3-day reminder increases total renewals among at-risk users<\/p>\n\n\n\n

                        The outcome: they use Push Notification Incrementality<\/strong> to focus on net renewals, not just \u201crenewal events after a push,\u201d improving true retention impact in Direct & Retention Marketing<\/strong>.<\/p>\n\n\n\n

                        \n\n\n\n

                        Benefits of Using Push Notification Incrementality<\/h2>\n\n\n\n

                        Measuring Push Notification Incrementality<\/strong> delivers tangible operational and customer benefits:<\/p>\n\n\n\n

                          \n
                        • Higher true ROI:<\/strong> You invest in pushes that create net new outcomes, not inflated attribution.<\/li>\n
                        • Better targeting and personalization:<\/strong> You learn which segments are persuadable versus already converting.<\/li>\n
                        • Cost and effort efficiency:<\/strong> Fewer low-value sends reduce creative, operational, and QA burden.<\/li>\n
                        • Improved customer experience:<\/strong> Reducing unnecessary pushes lowers annoyance and builds trust.<\/li>\n
                        • Stronger cross-channel planning:<\/strong> Incrementality helps coordinate Push Notification Marketing<\/strong> with email, SMS, and in-app messaging inside Direct & Retention Marketing<\/strong>.<\/li>\n<\/ul>\n\n\n\n
                          \n\n\n\n

                          Challenges of Push Notification Incrementality<\/h2>\n\n\n\n

                          Despite its value, Push Notification Incrementality<\/strong> is not trivial. Common challenges include:<\/p>\n\n\n\n

                            \n
                          • Randomization and contamination:<\/strong> Users may receive similar messages via email\/SMS, complicating \u201cpush-only\u201d effects.<\/li>\n
                          • Identity and device complexity:<\/strong> Multiple devices, shared devices, and logged-out states can blur assignment.<\/li>\n
                          • Seasonality and timing bias:<\/strong> Sales, holidays, and news cycles can distort lift if tests aren\u2019t properly controlled.<\/li>\n
                          • Small sample sizes:<\/strong> Some segments are too small to detect meaningful lift without longer tests.<\/li>\n
                          • Metric selection risk:<\/strong> Optimizing for immediate conversions can hide long-term harm (opt-outs, churn), a key concern in Direct & Retention Marketing<\/strong>.<\/li>\n
                          • Operational constraints:<\/strong> Teams may fear lost revenue from holdouts, even though the point is to measure net value.<\/li>\n<\/ul>\n\n\n\n

                            In Push Notification Marketing<\/strong>, the hardest part is often cultural: shifting from \u201cmore sends = more results\u201d to \u201cmore incremental<\/em> results = success.\u201d<\/p>\n\n\n\n

                            \n\n\n\n

                            Best Practices for Push Notification Incrementality<\/h2>\n\n\n\n

                            These practices help teams measure and improve Push Notification Incrementality<\/strong> reliably:<\/p>\n\n\n\n

                              \n
                            • Use holdouts strategically:<\/strong> Keep always-on holdouts for major programs (e.g., winback, cart abandonment) to measure ongoing incrementality.<\/li>\n
                            • Define a primary metric and guardrails:<\/strong> For example, incremental revenue as the primary metric, with opt-out rate and churn as guardrails.<\/li>\n
                            • Measure over the right horizon:<\/strong> Match the window to the buying cycle and retention model, which is central to Direct & Retention Marketing<\/strong>.<\/li>\n
                            • Segment by user state:<\/strong> Active users often show low incrementality; lapsed users may show high incrementality.<\/li>\n
                            • Control frequency and collisions:<\/strong> Ensure users aren\u2019t receiving multiple pushes that confound results; coordinate across Push Notification Marketing<\/strong> campaigns.<\/li>\n
                            • Validate instrumentation:<\/strong> Confirm delivery receipts, event tracking, and attribution windows before trusting results.<\/li>\n
                            • Iterate from insights:<\/strong> Use results to change eligibility rules, timing, creative, and frequency\u2014not just to report lift.<\/li>\n<\/ul>\n\n\n\n
                              \n\n\n\n

                              Tools Used for Push Notification Incrementality<\/h2>\n\n\n\n

                              You don\u2019t need a single \u201cincrementality tool,\u201d but you do need a stack that supports experimentation and analysis. Common tool categories include:<\/p>\n\n\n\n

                                \n
                              • Push automation platforms:<\/strong> To build audiences, manage triggered flows, apply holdouts, and enforce frequency caps for Push Notification Marketing<\/strong>.<\/li>\n
                              • Product analytics tools:<\/strong> To track user behavior, funnels, cohorts, and retention outcomes used in Direct & Retention Marketing<\/strong>.<\/li>\n
                              • Data warehouses and pipelines:<\/strong> To centralize events (sends, opens, purchases) and enable robust analysis.<\/li>\n
                              • Experimentation frameworks:<\/strong> To randomize groups, manage assignments, and standardize test readouts.<\/li>\n
                              • BI and reporting dashboards:<\/strong> To share incremental lift, confidence ranges, and guardrail metrics with stakeholders.<\/li>\n
                              • CRM systems:<\/strong> To unify user profiles, consent states, and lifecycle stages that shape incrementality.<\/li>\n<\/ul>\n\n\n\n

                                The best setup is the one that can consistently produce a trustworthy counterfactual and repeatable reporting for Push Notification Incrementality<\/strong>.<\/p>\n\n\n\n

                                \n\n\n\n

                                Metrics Related to Push Notification Incrementality<\/h2>\n\n\n\n

                                Incrementality is not a single metric; it\u2019s a lens applied to outcomes. Common metrics include:<\/p>\n\n\n\n

                                  \n
                                • Incremental conversion rate:<\/strong> (Treatment conversions \u2212 Holdout conversions) \/ eligible users<\/li>\n
                                • Incremental revenue per user:<\/strong> Net revenue difference per eligible user<\/li>\n
                                • Incremental orders or purchases:<\/strong> Net new orders caused by the push<\/li>\n
                                • Incremental sessions or engagement:<\/strong> Particularly relevant for media and marketplace apps<\/li>\n
                                • Incremental retention:<\/strong> Net change in 7\/30\/90-day retention rates<\/li>\n
                                • Opt-out rate and notification disables (guardrails):<\/strong> Ensures Push Notification Marketing<\/strong> isn\u2019t \u201cbuying\u201d short-term lift with long-term damage<\/li>\n
                                • Incremental ROI \/ profit:<\/strong> Incorporates discounts, costs, and downstream value\u2014critical in Direct & Retention Marketing<\/strong><\/li>\n<\/ul>\n\n\n\n

                                  Where possible, report lift with uncertainty (such as confidence intervals) to avoid overreacting to small differences.<\/p>\n\n\n\n

                                  \n\n\n\n

                                  Future Trends of Push Notification Incrementality<\/h2>\n\n\n\n

                                  Push Notification Incrementality<\/strong> is evolving as the industry shifts:<\/p>\n\n\n\n

                                    \n
                                  • More automation, more need for proof:<\/strong> As lifecycle messaging becomes more automated, teams will demand experiment-backed evidence that flows are net-positive in Direct & Retention Marketing<\/strong>.<\/li>\n
                                  • AI-driven personalization with causal guardrails:<\/strong> Smarter targeting can improve results, but it can also amplify bias. Expect more focus on measuring causal lift, not just predicted propensity, within Push Notification Marketing<\/strong>.<\/li>\n
                                  • Privacy and measurement constraints:<\/strong> Platform limitations and consent changes will increase reliance on first-party data and well-designed experiments.<\/li>\n
                                  • Cross-channel incrementality:<\/strong> Organizations will increasingly measure incrementality across push, email, SMS, and in-app as an integrated retention system, not isolated channels.<\/li>\n
                                  • User experience metrics as first-class citizens:<\/strong> Future incrementality frameworks will more often include satisfaction, opt-out behavior, and churn as primary decision inputs.<\/li>\n<\/ul>\n\n\n\n
                                    \n\n\n\n

                                    Push Notification Incrementality vs Related Terms<\/h2>\n\n\n\n

                                    Push Notification Incrementality vs attribution<\/h3>\n\n\n\n

                                    Attribution assigns credit for a conversion to a touchpoint (often last-touch). Push Notification Incrementality<\/strong> measures whether push caused a net change versus a no-push scenario. Attribution can be high even when incrementality is low (for example, when pushes reach users who were already about to buy).<\/p>\n\n\n\n

                                    Push Notification Incrementality vs A\/B testing<\/h3>\n\n\n\n

                                    A\/B testing compares two variants (message A vs message B). Incrementality typically compares push vs no push<\/strong> (or push vs suppressed) to measure net lift. You can run A\/B tests inside the treatment group, but incrementality requires a credible counterfactual.<\/p>\n\n\n\n

                                    Push Notification Incrementality vs engagement rate<\/h3>\n\n\n\n

                                    Engagement rate (opens, clicks) shows interaction with the notification itself. Push Notification Incrementality<\/strong> focuses on business outcomes caused by the notification (purchases, retention). High engagement doesn\u2019t guarantee incremental value, especially in Direct & Retention Marketing<\/strong> where long-term effects matter.<\/p>\n\n\n\n

                                    \n\n\n\n

                                    Who Should Learn Push Notification Incrementality<\/h2>\n\n\n\n

                                    Push Notification Incrementality<\/strong> is useful across roles:<\/p>\n\n\n\n

                                      \n
                                    • Marketers:<\/strong> To optimize targeting, timing, frequency, and creative based on true lift in Push Notification Marketing<\/strong>.<\/li>\n
                                    • Analysts and data teams:<\/strong> To design experiments, quantify uncertainty, and translate results into decisions for Direct & Retention Marketing<\/strong>.<\/li>\n
                                    • Agencies and consultants:<\/strong> To prove impact, avoid misleading reporting, and set better KPIs for clients.<\/li>\n
                                    • Business owners and founders:<\/strong> To understand whether push is driving growth or cannibalizing organic demand.<\/li>\n
                                    • Developers and product teams:<\/strong> To implement experimentation logic, event tracking, identity resolution, and reliable measurement pipelines.<\/li>\n<\/ul>\n\n\n\n
                                      \n\n\n\n

                                      Summary of Push Notification Incrementality<\/h2>\n\n\n\n

                                      Push Notification Incrementality<\/strong> measures the net impact of push notifications by comparing outcomes against what would have happened without push. It matters because it protects Direct & Retention Marketing<\/strong> teams from overestimating performance, over-messaging customers, and optimizing toward misleading attribution.<\/p>\n\n\n\n

                                      Within Push Notification Marketing<\/strong>, incrementality supports smarter segmentation, more sustainable frequency, and better long-term retention. When you measure incrementality consistently, push becomes a controlled growth lever\u2014grounded in causality rather than hope.<\/p>\n\n\n\n

                                      \n\n\n\n

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

                                      1) What is Push Notification Incrementality in simple terms?<\/h3>\n\n\n\n

                                      Push Notification Incrementality<\/strong> is the extra conversions, revenue, or engagement that happen because you sent a push notification\u2014beyond what would have happened if you hadn\u2019t sent it.<\/p>\n\n\n\n

                                      2) How do I measure incrementality for push notifications?<\/h3>\n\n\n\n

                                      The most reliable method is a randomized holdout test: keep a percentage of eligible users from receiving the push and compare outcomes between the pushed group and the holdout over a defined time window.<\/p>\n\n\n\n

                                      3) What\u2019s a good holdout size for Direct & Retention Marketing tests?<\/h3>\n\n\n\n

                                      It depends on traffic and expected lift, but many teams start with 5\u201315% holdouts for high-volume programs. The goal is enough users to detect meaningful differences without creating operational risk.<\/p>\n\n\n\n

                                      4) Can Push Notification Marketing look successful even if incrementality is low?<\/h3>\n\n\n\n

                                      Yes. Push campaigns often get credit for conversions that were already likely to happen. High post-click conversions or strong last-touch attribution can coexist with low Push Notification Incrementality<\/strong>.<\/p>\n\n\n\n

                                      5) Which outcomes should I use: clicks, sessions, or revenue?<\/h3>\n\n\n\n

                                      Choose the metric that reflects business value. In Direct & Retention Marketing<\/strong>, revenue, renewals, and retention are often better primary metrics than clicks, with opt-outs and churn as guardrails.<\/p>\n\n\n\n

                                      6) How long should I run an incrementality test?<\/h3>\n\n\n\n

                                      Run it long enough to capture the behavior you care about. For purchases, that might be 1\u20137 days; for retention or renewals, it may be 14\u201330+ days. Include a consistent measurement window for fair comparison.<\/p>\n\n\n\n

                                      7) What are common reasons incrementality results are misleading?<\/h3>\n\n\n\n

                                      Frequent issues include broken tracking, overlapping campaigns across channels, poor randomization, small sample sizes, and measuring too short a window\u2014especially when long-term retention effects matter in Push Notification Marketing<\/strong>.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                      Push notifications are one of the fastest ways to reach existing users\u2014but speed doesn\u2019t equal value. **Push Notification Incrementality** is the practice of measuring how much additional behavior (opens, purchases, renewals, sessions, or other outcomes) your push notifications *cause* beyond what would have happened anyway.<\/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-8306","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\/8306","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=8306"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/8306\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=8306"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=8306"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=8306"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}