{"id":8599,"date":"2026-03-26T11:34:10","date_gmt":"2026-03-26T11:34:10","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/day-30-retention\/"},"modified":"2026-03-26T11:34:10","modified_gmt":"2026-03-26T11:34:10","slug":"day-30-retention","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/day-30-retention\/","title":{"rendered":"Day 30 Retention: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Mobile & App Marketing"},"content":{"rendered":"\n

Day 30 Retention is one of the most revealing health metrics in Mobile & App Marketing<\/strong> because it answers a simple but high-stakes question: do users still find enough value to come back a full month after installing or signing up? In Mobile & App Marketing<\/strong>, short-term spikes in installs or sign-ups can look great on dashboards, but Day 30 Retention helps confirm whether acquisition and onboarding are attracting the right<\/em> users and delivering a product experience that lasts.<\/p>\n\n\n\n

As privacy limits targeting and attribution, modern Mobile & App Marketing<\/strong> increasingly shifts from \u201cbuying growth\u201d to \u201cearning engagement.\u201d Day 30 Retention sits at the center of that shift. It connects campaign quality, product-market fit, lifecycle messaging, and monetization into a single, comparable signal you can monitor over time.<\/p>\n\n\n\n

What Is Day 30 Retention?<\/h2>\n\n\n\n

Day 30 Retention<\/strong> is the percentage of users from a defined cohort (usually users who installed or registered on the same day) who return and are active again on the 30th day after acquisition<\/strong>. \u201cActive\u201d is defined by your business\u2014opening the app, completing a session, making a purchase, watching content, tracking a workout, etc.\u2014but it must be consistent and measurable.<\/p>\n\n\n\n

At its core, Day 30 Retention is a longer-horizon engagement checkpoint<\/em>. Day 1 and Day 7 retention show whether onboarding works; Day 30 shows whether the app becomes a habit, a utility, or a trusted service.<\/p>\n\n\n\n

From a business standpoint, Day 30 Retention<\/strong> is often a proxy for:\n– Sustainable user value (users who stay typically generate more revenue and referrals)\n– Acquisition quality (better-fit users retain longer)\n– Product experience strength (UX, content, performance, and perceived value)\n– LTV potential (higher retention generally supports higher lifetime value)<\/p>\n\n\n\n

In Mobile & App Marketing<\/strong>, Day 30 Retention is used to evaluate channels, creatives, store listings, onboarding flows, and lifecycle programs\u2014especially when immediate revenue doesn\u2019t tell the whole story.<\/p>\n\n\n\n

Why Day 30 Retention Matters in Mobile & App Marketing<\/h2>\n\n\n\n

In Mobile & App Marketing<\/strong>, growth is constrained by rising acquisition costs and diminishing targeting precision. Day 30 Retention<\/strong> becomes crucial because it helps teams invest in what compounds.<\/p>\n\n\n\n

Key reasons Day 30 Retention matters:<\/p>\n\n\n\n

    \n
  • It protects budget efficiency.<\/strong> If users churn before day 30, you\u2019re paying to acquire users who won\u2019t return. Improving Day 30 Retention can lower effective CAC by increasing the value per acquired user.<\/li>\n
  • It predicts monetization more reliably than installs.<\/strong> Many apps monetize after trust and habit form\u2014subscriptions, repeat purchases, ad impressions, marketplace liquidity, or re-engagement offers. Day 30 Retention is closer to those outcomes than Day 1 metrics.<\/li>\n
  • It reveals product-market fit gaps.<\/strong> Low Day 30 Retention can indicate mismatched acquisition promises, weak recurring value, or poor content cadence\u2014even if early retention is acceptable.<\/li>\n
  • It creates competitive advantage.<\/strong> Apps with strong Day 30 Retention can outbid competitors (higher LTV), scale faster, and survive attribution volatility because they rely less on constant replenishment.<\/li>\n<\/ul>\n\n\n\n

    In practical Mobile & App Marketing<\/strong> strategy, Day 30 Retention is how you validate that growth is not just loud\u2014it\u2019s durable.<\/p>\n\n\n\n

    How Day 30 Retention Works<\/h2>\n\n\n\n

    Day 30 Retention is conceptual, but it follows a repeatable measurement workflow in real operations:<\/p>\n\n\n\n

      \n
    1. \n

      Input (cohort + event definition)<\/strong>\n You define the acquisition cohort (e.g., users who installed on Jan 1) and define what \u201cretained\u201d means (e.g., app open, session, purchase, lesson completed). In Mobile & App Marketing<\/strong>, teams often align this to a meaningful activation action rather than a trivial event.<\/p>\n<\/li>\n

    2. \n

      Processing (identity + timestamp logic)<\/strong>\n Your analytics pipeline links events to users and calculates the day offset from install\/registration. The \u201cDay 30\u201d window must be defined (exact day vs a range) and consistently applied across platforms and time zones.<\/p>\n<\/li>\n

    3. \n

      Application (segmentation + comparison)<\/strong>\n You break out Day 30 Retention by channel, campaign, creative, geo, device, OS version, and landing experience (app store page variant, deep link path, onboarding variant).<\/p>\n<\/li>\n

    4. \n

      Output (insights + actions)<\/strong>\n The outcome is not just a percentage; it\u2019s a decision framework. You use Day 30 Retention<\/strong> to reallocate spend, refine creative messaging, fix onboarding friction, improve lifecycle messaging, and prioritize product improvements that support long-term engagement.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

      Key Components of Day 30 Retention<\/h2>\n\n\n\n

      To use Day 30 Retention<\/strong> as a dependable metric in Mobile & App Marketing<\/strong>, you need more than a number in a dashboard. The core components include:<\/p>\n\n\n\n

      Data inputs and tracking foundations<\/h3>\n\n\n\n
        \n
      • Install or registration timestamps (the cohort anchor)<\/li>\n
      • User identifiers (device IDs, account IDs, or privacy-safe identifiers)<\/li>\n
      • Event taxonomy (clear definitions for \u201cactive,\u201d \u201csession,\u201d \u201cpurchase,\u201d etc.)<\/li>\n
      • Time zone and day-boundary rules (critical for consistent D30 counting)<\/li>\n<\/ul>\n\n\n\n

        Systems and processes<\/h3>\n\n\n\n
          \n
        • Product analytics instrumentation plan (what events exist and why)<\/li>\n
        • Attribution and channel tagging discipline (UTMs, campaign IDs, ad network metadata)<\/li>\n
        • Cohort reporting cadence (weekly\/monthly review of cohorts as they mature)<\/li>\n
        • Experimentation workflow (A\/B tests that connect changes to Day 30 Retention shifts)<\/li>\n<\/ul>\n\n\n\n

          Governance and responsibilities<\/h3>\n\n\n\n
            \n
          • Marketing owns acquisition mix and expectation-setting (promise vs reality)<\/li>\n
          • Product owns recurring value, UX, performance, and content loops<\/li>\n
          • Data\/analytics owns definitions, data quality, and reporting consistency<\/li>\n
          • Lifecycle\/CRM owns messaging strategy and re-engagement programs<\/li>\n<\/ul>\n\n\n\n

            Types of Day 30 Retention<\/h2>\n\n\n\n

            \u201cDay 30 Retention\u201d sounds singular, but there are practical variants that teams use depending on the app model and measurement philosophy:<\/p>\n\n\n\n

            Exact Day 30 (classic retention)<\/h3>\n\n\n\n

            Users are counted only if they are active on the precise 30th day after install. This is strict and useful for habit-forming products, but it can undercount users who return slightly earlier or later.<\/p>\n\n\n\n

            Day 30 Range (bracketed retention)<\/h3>\n\n\n\n

            Users are counted if active within a window (e.g., days 30\u201334). This can better reflect real behavior patterns, especially when usage is weekly or intermittent.<\/p>\n\n\n\n

            Rolling Day 30 (on or after day 30)<\/h3>\n\n\n\n

            Users are counted if they return at least once on or after day 30. This is more forgiving and sometimes used when the main question is \u201cdid they come back after a month?\u201d rather than \u201cdid they return exactly on day 30?\u201d<\/p>\n\n\n\n

            Segmented Day 30 Retention<\/h3>\n\n\n\n

            Not a different calculation, but a critical \u201ctype\u201d in practice: Day 30 Retention by channel, persona, intent, subscription status, or activation path. In Mobile & App Marketing<\/strong>, segmentation is where Day 30 Retention becomes actionable rather than just observable.<\/p>\n\n\n\n

            Real-World Examples of Day 30 Retention<\/h2>\n\n\n\n

            1) Subscription fitness app: improving habit formation<\/h3>\n\n\n\n

            A fitness app sees strong installs from influencer campaigns but weak Day 30 Retention<\/strong>. Analysis shows users who complete a first-week plan retain far better at day 30. The team updates onboarding to recommend a 7-day starter plan, adds reminder nudges tied to the plan schedule, and adjusts influencer messaging to set expectations (\u201c3 workouts per week\u201d) rather than selling instant transformations. In Mobile & App Marketing<\/strong>, this aligns acquisition promises with a realistic engagement loop.<\/p>\n\n\n\n

            2) Mobile commerce app: channel quality and merchandising<\/h3>\n\n\n\n

            A shopping app runs seasonal paid social campaigns with high install volume but inconsistent Day 30 Retention. Cohort analysis reveals that deal-seekers from certain creatives churn after purchase #1, while users acquired through \u201cnew arrivals\u201d creatives browse weekly and retain longer. Marketing reallocates spend, and product improves personalized collections to support repeat discovery. Day 30 Retention becomes a channel-quality metric, not just a product metric.<\/p>\n\n\n\n

            3) B2B companion app: activation and notification strategy<\/h3>\n\n\n\n

            A SaaS companion app (alerts, approvals, dashboards) struggles with Day 30 Retention because users only open it during urgent events. The team defines \u201cretained\u201d as completing a weekly check-in action rather than an app open, then designs value reminders (status summaries, upcoming tasks) and improves deep links to the exact screen needed. In Mobile & App Marketing<\/strong>, this is a good example of aligning retention measurement with true product value.<\/p>\n\n\n\n

            Benefits of Using Day 30 Retention<\/h2>\n\n\n\n

            Using Day 30 Retention<\/strong> as a core KPI creates measurable advantages:<\/p>\n\n\n\n

              \n
            • Better ROAS decision-making.<\/strong> Campaigns that look \u201ccheap\u201d on CPI can be expensive if Day 30 Retention is low.<\/li>\n
            • Higher lifetime value and payback clarity.<\/strong> Stronger retention typically supports higher LTV, faster payback, and safer scaling.<\/li>\n
            • Improved product prioritization.<\/strong> Day 30 Retention highlights whether recurring value is strong enough and where drop-offs occur.<\/li>\n
            • More effective lifecycle marketing.<\/strong> Push, in-app messaging, and email programs become easier to tune when you track whether they actually sustain engagement through day 30.<\/li>\n
            • Stronger user experience.<\/strong> Retention-driven improvements often reduce spammy messaging and focus on timely, relevant value.<\/li>\n<\/ul>\n\n\n\n

              In Mobile & App Marketing<\/strong>, the biggest benefit is focus: Day 30 Retention forces teams to optimize for user value, not vanity metrics.<\/p>\n\n\n\n

              Challenges of Day 30 Retention<\/h2>\n\n\n\n

              Day 30 Retention is powerful, but it is not effortless or foolproof:<\/p>\n\n\n\n

                \n
              • Definition drift.<\/strong> If \u201cactive\u201d changes across teams or releases, your Day 30 Retention trend becomes misleading.<\/li>\n
              • Data quality issues.<\/strong> Missing events, duplicate users, identity resets, and SDK errors can distort cohort counts.<\/li>\n
              • Seasonality and cohort maturity.<\/strong> You can\u2019t evaluate Day 30 Retention for new campaigns immediately; you must wait 30 days, and seasonal behavior can skew comparisons.<\/li>\n
              • Cross-device and web-to-app complexity.<\/strong> Users may re-engage via web or another device; if not measured, app-only Day 30 Retention may understate true retention.<\/li>\n
              • Over-optimization risk.<\/strong> Chasing Day 30 Retention alone can encourage tactics that increase app opens without increasing value (notification spam), harming brand trust and long-term outcomes.<\/li>\n<\/ul>\n\n\n\n

                Best Practices for Day 30 Retention<\/h2>\n\n\n\n

                To improve Day 30 Retention<\/strong> in a sustainable way, focus on value loops and measurement discipline:<\/p>\n\n\n\n

                Define retention around meaningful value<\/h3>\n\n\n\n
                  \n
                • Choose an \u201cactive\u201d event that reflects real progress (lesson completed, order placed, task finished), not just an open.<\/li>\n
                • Maintain a stable definition for reporting, and document it across product and marketing.<\/li>\n<\/ul>\n\n\n\n

                  Improve the first-week experience<\/h3>\n\n\n\n

                  Day 30 Retention is often \u201cearned\u201d in days 0\u20137:\n– Reduce time-to-first-value (fewer steps to a meaningful outcome)\n– Personalize onboarding (intent, preferences, goals)\n– Fix performance issues (crashes, slow loads) that silently kill retention<\/p>\n\n\n\n

                  Align acquisition promises with product reality<\/h3>\n\n\n\n

                  In Mobile & App Marketing<\/strong>, mismatched expectations are a top churn driver:\n– Ensure creatives and app store messaging reflect what users will actually get\n– Avoid bait-and-switch discounting or exaggerated outcomes<\/p>\n\n\n\n

                  Build a 30-day lifecycle plan<\/h3>\n\n\n\n
                    \n
                  • Use onboarding sequences, habit nudges, and content cadence<\/li>\n
                  • Trigger messaging based on behavior (not time alone)<\/li>\n
                  • Use frequency caps and relevance rules to protect UX<\/li>\n<\/ul>\n\n\n\n

                    Monitor cohorts, not just aggregates<\/h3>\n\n\n\n
                      \n
                    • Compare Day 30 Retention for cohorts by channel and creative<\/li>\n
                    • Track shifts after releases, pricing changes, or onboarding experiments<\/li>\n<\/ul>\n\n\n\n

                      Tools Used for Day 30 Retention<\/h2>\n\n\n\n

                      Day 30 Retention is measured and improved through a stack rather than a single tool. Common tool categories in Mobile & App Marketing<\/strong> include:<\/p>\n\n\n\n

                        \n
                      • Product analytics platforms<\/strong> for event tracking, funnels, cohorts, and segmentation<\/li>\n
                      • Mobile attribution and measurement tools<\/strong> to connect campaigns to cohorts and compare acquisition quality<\/li>\n
                      • CRM and lifecycle automation tools<\/strong> for push notifications, in-app messages, email, and audience orchestration<\/li>\n
                      • Customer data platforms (CDPs)<\/strong> to unify user data, consent signals, and cross-channel profiles<\/li>\n
                      • Experimentation tools<\/strong> to run A\/B tests on onboarding, paywalls, messaging, and UX<\/li>\n
                      • BI and reporting dashboards<\/strong> for standardized KPI reporting and stakeholder visibility<\/li>\n
                      • App store analytics tools<\/strong> to connect listing performance and conversion rates to downstream retention quality<\/li>\n<\/ul>\n\n\n\n

                        In mature Mobile & App Marketing<\/strong> organizations, the main goal is consistency: one agreed definition of Day 30 Retention, with transparent cohort logic that every team can audit.<\/p>\n\n\n\n

                        Metrics Related to Day 30 Retention<\/h2>\n\n\n\n

                        Day 30 Retention is best interpreted alongside complementary metrics:<\/p>\n\n\n\n

                          \n
                        • Day 1 \/ Day 7 retention:<\/strong> diagnose onboarding vs longer-term value issues<\/li>\n
                        • DAU\/MAU and stickiness:<\/strong> indicates habit strength; can correlate with D30<\/li>\n
                        • Activation rate:<\/strong> percent reaching a key value event early (often predicts D30)<\/li>\n
                        • Churn rate:<\/strong> the inverse lens; why users stop returning<\/li>\n
                        • Session frequency and depth:<\/strong> number of sessions, time spent, key actions per user<\/li>\n
                        • Conversion metrics:<\/strong> trial-to-paid, paywall conversion, repeat purchase rate<\/li>\n
                        • Revenue metrics:<\/strong> ARPU, LTV, payback period, cohort revenue curves<\/li>\n
                        • Quality signals:<\/strong> crash rate, latency, uninstall rate, support tickets<\/li>\n<\/ul>\n\n\n\n

                          In Mobile & App Marketing<\/strong>, a practical approach is to treat Day 30 Retention as an outcome metric, then use activation and engagement depth as leading indicators you can move faster.<\/p>\n\n\n\n

                          Future Trends of Day 30 Retention<\/h2>\n\n\n\n

                          Day 30 Retention is evolving as measurement and user expectations change:<\/p>\n\n\n\n

                            \n
                          • AI-driven personalization:<\/strong> More apps will tailor onboarding, content, and notifications in real time to improve long-term engagement without increasing message volume.<\/li>\n
                          • Automation with guardrails:<\/strong> Lifecycle programs will rely more on predictive triggers (likely-to-churn scoring) while enforcing frequency caps and user control to protect trust.<\/li>\n
                          • Privacy-safe measurement:<\/strong> With less user-level data available in some contexts, teams will lean on modeled insights, aggregated reporting, and first-party event quality to understand Day 30 Retention.<\/li>\n
                          • Retention as a growth lever, not a product afterthought:<\/strong> In Mobile & App Marketing<\/strong>, retention will increasingly guide acquisition strategy\u2014buying fewer, better users and improving conversion to long-term value.<\/li>\n
                          • Experience-led retention:<\/strong> Faster apps, clearer value, and better support will matter more than gimmicks as users become less tolerant of noisy notification strategies.<\/li>\n<\/ul>\n\n\n\n

                            Day 30 Retention vs Related Terms<\/h2>\n\n\n\n

                            Day 30 Retention vs Day 7 Retention<\/h3>\n\n\n\n

                            Day 7 retention primarily reflects onboarding success and early value discovery. Day 30 Retention<\/strong> reflects whether the value repeats and becomes part of a routine. If Day 7 is strong but Day 30 is weak, you likely have a \u201cfirst-week honeymoon\u201d problem: initial interest fades.<\/p>\n\n\n\n

                            Day 30 Retention vs Cohort Retention<\/h3>\n\n\n\n

                            Cohort retention is the broader analysis method\u2014tracking retention over time for groups of users acquired together. Day 30 Retention is a specific checkpoint within cohort retention reporting. Good Mobile & App Marketing<\/strong> teams monitor multiple checkpoints (D1, D7, D30, D60) to understand the full curve.<\/p>\n\n\n\n

                            Day 30 Retention vs Churn<\/h3>\n\n\n\n

                            Churn measures users who stop returning (or cancel). Day 30 Retention measures users who still return at day 30. They\u2019re two sides of the same coin, but churn analysis often focuses more on causes and segments, while retention is the headline outcome.<\/p>\n\n\n\n

                            Who Should Learn Day 30 Retention<\/h2>\n\n\n\n

                            Day 30 Retention is worth learning because it sits at the intersection of marketing, product, and analytics:<\/p>\n\n\n\n

                              \n
                            • Marketers<\/strong> use Day 30 Retention to judge channel quality, creative truthfulness, and lifecycle impact.<\/li>\n
                            • Analysts<\/strong> use it to build cohort models, forecast LTV, and detect structural shifts after changes.<\/li>\n
                            • Agencies<\/strong> use it to prove value beyond installs and to recommend better acquisition and messaging strategies.<\/li>\n
                            • Business owners and founders<\/strong> use it to validate sustainable growth and prioritize roadmap investment.<\/li>\n
                            • Developers and product teams<\/strong> use it to understand how performance, bugs, and UX decisions affect long-term engagement.<\/li>\n<\/ul>\n\n\n\n

                              In Mobile & App Marketing<\/strong>, speaking the language of Day 30 Retention improves alignment across teams that otherwise optimize for different goals.<\/p>\n\n\n\n

                              Summary of Day 30 Retention<\/h2>\n\n\n\n

                              Day 30 Retention<\/strong> measures the percentage of users who return and are active 30 days after acquisition. It matters because it reveals whether your app delivers enduring value, not just short-term curiosity. In Mobile & App Marketing<\/strong>, Day 30 Retention guides smarter budget allocation, more honest acquisition messaging, stronger onboarding, and better lifecycle programs. Used well, it supports profitable scaling and resilient growth when attribution and targeting are imperfect.<\/p>\n\n\n\n

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

                              1) What is Day 30 Retention and how is it calculated?<\/h3>\n\n\n\n

                              Day 30 Retention is the percent of users from an install or signup cohort who are active on the 30th day after that start date. Calculation is: retained users on day 30 \u00f7 total users in the cohort, using a consistent definition of \u201cactive.\u201d<\/p>\n\n\n\n

                              2) What\u2019s a good Day 30 Retention benchmark?<\/h3>\n\n\n\n

                              There is no universal benchmark because app categories, pricing models, and usage frequency differ. Compare Day 30 Retention against your own historical cohorts, your closest competitors\u2019 public signals (where available), and segmented cohorts (channel, geo, device) to find realistic improvement targets.<\/p>\n\n\n\n

                              3) Should \u201cactive\u201d mean an app open or a key action?<\/h3>\n\n\n\n

                              Prefer a key action tied to real value (purchase, lesson completed, message sent). App opens alone can be inflated by notifications and may not reflect true engagement\u2014an important nuance in Mobile & App Marketing<\/strong> reporting.<\/p>\n\n\n\n

                              4) How do paid campaigns affect Day 30 Retention?<\/h3>\n\n\n\n

                              They can raise or lower it depending on audience fit and expectation-setting. High-volume campaigns sometimes bring low-intent users, reducing Day 30 Retention. Segment by channel and creative to identify which acquisition sources bring users who actually stick.<\/p>\n\n\n\n

                              5) How can Mobile & App Marketing teams improve Day 30 Retention quickly?<\/h3>\n\n\n\n

                              Focus on early value delivery (first session and first week), reduce friction, align ad promises with the in-app experience, and implement behavior-based lifecycle messaging with frequency caps. Quick wins often come from onboarding clarity and better segmentation.<\/p>\n\n\n\n

                              6) Why did Day 30 Retention drop after a product update?<\/h3>\n\n\n\n

                              Common causes include new onboarding friction, performance regressions, broken events, paywall changes, or altered notification logic. Validate tracking first, then compare cohorts before and after the release, segmented by device\/OS and acquisition channel.<\/p>\n\n\n\n

                              7) Is Day 30 Retention enough to judge app health?<\/h3>\n\n\n\n

                              It\u2019s a strong anchor metric, but it should be paired with activation rate, retention curve shape (D1\/D7\/D30), engagement depth, and revenue metrics. In Mobile & App Marketing<\/strong>, the best decisions come from using Day 30 Retention as a key outcome within a broader measurement system.<\/p>\n","protected":false},"excerpt":{"rendered":"

                              Day 30 Retention is one of the most revealing health metrics in **Mobile & App Marketing** because it answers a simple but high-stakes question: do users still find enough value to come back a full month after installing or signing up? In **Mobile & App Marketing**, short-term spikes in installs or sign-ups can look great on dashboards, but Day 30 Retention helps confirm whether acquisition and onboarding are attracting the *right* users and delivering a product experience that lasts.<\/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-8599","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\/8599","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=8599"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/8599\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=8599"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=8599"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=8599"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}