{"id":6903,"date":"2026-03-23T17:01:12","date_gmt":"2026-03-23T17:01:12","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/new-user\/"},"modified":"2026-03-23T17:01:12","modified_gmt":"2026-03-23T17:01:12","slug":"new-user","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/new-user\/","title":{"rendered":"New User: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Analytics"},"content":{"rendered":"\n

A New User<\/strong> is more than a vanity number on a dashboard\u2014it\u2019s a foundational concept in Conversion & Measurement<\/strong> because it represents first-time, trackable interactions with your brand. In Analytics<\/strong>, New User counts help teams separate acquisition performance from retention behavior, evaluate campaign reach, and understand whether growth is coming from fresh demand or returning audiences.<\/p>\n\n\n\n

Modern Conversion & Measurement<\/strong> strategies depend on accurately identifying New User activity across channels and devices while respecting privacy constraints and data quality. When the New User signal is measured well, it becomes a reliable input for planning budgets, optimizing landing experiences, and forecasting growth.<\/p>\n\n\n\n

What Is New User?<\/h2>\n\n\n\n

A New User<\/strong> is an individual (as defined by your measurement system) who is recognized as interacting with your digital property for the first time within a given tracking context. In practical terms, it\u2019s the first observed visit, session, or app open that your Analytics<\/strong> setup can attribute to a previously unseen user identifier.<\/p>\n\n\n\n

The core concept is \u201cfirst-time recognition,\u201d not \u201cfirst-time existence.\u201d A person may already know your brand, but if your measurement stack cannot connect them to prior activity\u2014because they switched devices, cleared cookies, used a different browser, or opted out of tracking\u2014they may still be counted as a New User.<\/p>\n\n\n\n

From a business standpoint, New User metrics answer acquisition questions such as:<\/p>\n\n\n\n

    \n
  • Are we expanding our audience or just recycling the same visitors?<\/li>\n
  • Which channels generate first-time demand efficiently?<\/li>\n
  • Do first-time visitors convert, or do they require nurturing?<\/li>\n<\/ul>\n\n\n\n

    In Conversion & Measurement<\/strong>, New User is a top-of-funnel indicator that should be interpreted alongside downstream outcomes like sign-ups, purchases, and qualified leads. Inside Analytics<\/strong>, it is commonly used for segmentation, cohort analysis, attribution modeling, and landing-page optimization.<\/p>\n\n\n\n

    Why New User Matters in Conversion & Measurement<\/h2>\n\n\n\n

    New User tracking matters because acquisition and retention require different strategies, budgets, and expectations. In Conversion & Measurement<\/strong>, separating New User behavior from returning behavior prevents misleading conclusions\u2014like assuming a campaign \u201cworked\u201d because total sessions increased when the lift came mostly from returning visitors.<\/p>\n\n\n\n

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

      \n
    • Budget allocation:<\/strong> New User performance can justify increasing spend in a channel that reliably introduces new demand rather than just re-engaging existing audiences.<\/li>\n
    • Creative and messaging fit:<\/strong> Ads or content that attract New Users often need clearer value propositions and stronger education than remarketing does.<\/li>\n
    • Funnel health:<\/strong> If New User volume is strong but conversions are weak, the issue may be onboarding, landing-page clarity, pricing friction, or trust signals\u2014insights that are central to Conversion & Measurement<\/strong> work.<\/li>\n
    • Competitive advantage:<\/strong> Growth is often constrained by acquisition efficiency. Understanding which tactics bring in New Users at acceptable cost can compound over time.<\/li>\n<\/ul>\n\n\n\n

      In short, New User is a leading indicator of market reach, while conversion metrics are lagging indicators of business impact. Strong Analytics<\/strong> connects both.<\/p>\n\n\n\n

      How New User Works<\/h2>\n\n\n\n

      Because New User is conceptual, the \u201chow it works\u201d is best explained as a measurement workflow that turns user interactions into a New User classification.<\/p>\n\n\n\n

        \n
      1. \n

        Input \/ Trigger: first identifiable interaction<\/strong>\n A visitor lands on your site, opens your app, or interacts with a tracked experience. Your Analytics<\/strong> system attempts to assign an identifier (often via cookies, device identifiers, or authenticated IDs).<\/p>\n<\/li>\n

      2. \n

        Processing: identity recognition and deduplication<\/strong>\n The system checks whether the identifier has been seen before within its definition and retention rules. If it is unseen, the visitor is classified as a New User. If seen, they are classified as returning.<\/p>\n<\/li>\n

      3. \n

        Application: segmentation and reporting in Conversion & Measurement<\/strong>\n New User status is used to segment performance: first-time sessions vs returning sessions, first-time converters vs repeat purchasers, or acquisition source by first-time exposure.<\/p>\n<\/li>\n

      4. \n

        Outcome: decisions and optimization<\/strong>\n Teams use New User data to evaluate acquisition channels, prioritize onboarding improvements, assess campaign incrementality, and tune targeting or content strategy\u2014core actions in Conversion & Measurement<\/strong> and Analytics<\/strong>.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

        A crucial nuance: New User measurement is only as accurate as your identity resolution. It\u2019s a \u201cbest available\u201d signal, not a perfect count of unique humans.<\/p>\n\n\n\n

        Key Components of New User<\/h2>\n\n\n\n

        A reliable New User metric depends on several components working together across technology, process, and governance:<\/p>\n\n\n\n

        Data inputs and identity signals<\/h3>\n\n\n\n
          \n
        • First-party identifiers:<\/strong> cookies, local storage, app instance IDs, authenticated user IDs (when available)<\/li>\n
        • Consent and preference signals:<\/strong> opt-in\/opt-out status and regional privacy rules<\/li>\n
        • Traffic source data:<\/strong> channel, campaign tags, referrer, landing page, and ad click identifiers (when permitted)<\/li>\n<\/ul>\n\n\n\n

          Systems and processes<\/h3>\n\n\n\n
            \n
          • Tagging and event instrumentation:<\/strong> consistent pageview\/event capture and clear definitions of \u201cfirst interaction\u201d<\/li>\n
          • Attribution and channel grouping rules:<\/strong> to avoid mis-crediting New Users to the wrong source<\/li>\n
          • Data QA and monitoring:<\/strong> validation of spikes, drops, bot filtering, and tracking breakages<\/li>\n<\/ul>\n\n\n\n

            Team responsibilities (governance)<\/h3>\n\n\n\n
              \n
            • Marketing:<\/strong> defines acquisition goals and uses New User insights for channel strategy in Conversion & Measurement<\/strong><\/li>\n
            • Analytics\/measurement:<\/strong> owns definitions, data quality, and reporting logic<\/li>\n
            • Engineering:<\/strong> implements tracking, consent logic, and identity integration<\/li>\n
            • Privacy\/legal:<\/strong> ensures compliant data collection and retention<\/li>\n<\/ul>\n\n\n\n

              Types of New User<\/h2>\n\n\n\n

              \u201cNew User\u201d doesn\u2019t have universal formal types, but in practice there are important distinctions that affect interpretation in Analytics<\/strong> and Conversion & Measurement<\/strong>:<\/p>\n\n\n\n

              1) New to property vs new to brand<\/h3>\n\n\n\n
                \n
              • New to property:<\/strong> first recorded interaction on the measured site\/app<\/li>\n
              • New to brand:<\/strong> truly first exposure to the company (hard to prove; typically inferred via surveys, CRM history, or authenticated data)<\/li>\n<\/ul>\n\n\n\n

                2) New user by device\/browser vs cross-device new user<\/h3>\n\n\n\n
                  \n
                • Device\/browser-level new user:<\/strong> common when measurement relies on cookies; one person can appear as multiple New Users<\/li>\n
                • Cross-device user:<\/strong> possible when users log in and you unify identities; more accurate for lifecycle analysis<\/li>\n<\/ul>\n\n\n\n

                  3) New user by time window vs lifetime<\/h3>\n\n\n\n

                  Some reporting views treat \u201cnew\u201d within a defined lookback window, while others treat \u201cnew\u201d as first-ever observed. Your Conversion & Measurement<\/strong> reporting should state the definition clearly.<\/p>\n\n\n\n

                  Real-World Examples of New User<\/h2>\n\n\n\n

                  Example 1: SEO content that drives first-time visitors<\/h3>\n\n\n\n

                  A B2B SaaS company publishes comparison and \u201chow-to\u201d articles targeting non-branded queries. In Analytics<\/strong>, they segment by New User to see whether the content actually expands reach. In Conversion & Measurement<\/strong>, they then check whether New Users from organic search complete micro-conversions (newsletter sign-up, demo click) and whether those users later become qualified leads.<\/p>\n\n\n\n

                  Takeaway:<\/strong> New User volume is meaningful only when connected to downstream funnel steps.<\/p>\n\n\n\n

                  Example 2: Paid social prospecting vs remarketing<\/h3>\n\n\n\n

                  An ecommerce brand runs two paid social campaigns: prospecting (broad audiences) and remarketing (site visitors). The team tracks New User share, cost per New User, and first-purchase rate. In Conversion & Measurement<\/strong>, they discover prospecting yields many New Users but low purchase rate; remarketing yields fewer New Users but higher conversion efficiency.<\/p>\n\n\n\n

                  Takeaway:<\/strong> New User metrics prevent confusing \u201ccheap conversions\u201d (often remarketing) with true growth.<\/p>\n\n\n\n

                  Example 3: App onboarding optimization<\/h3>\n\n\n\n

                  A mobile app sees strong New User installs, but Day 0 activation is weak. Using Analytics<\/strong> event funnels segmented by New User, the product team identifies where first-time users drop off (permissions prompt, account creation, tutorial). In Conversion & Measurement<\/strong>, they test a simplified onboarding flow and measure improvements in activation and retention cohorts.<\/p>\n\n\n\n

                  Takeaway:<\/strong> New User is a gateway metric for lifecycle optimization, not just acquisition reporting.<\/p>\n\n\n\n

                  Benefits of Using New User<\/h2>\n\n\n\n

                  When used correctly, New User analysis improves both performance and decision-making:<\/p>\n\n\n\n

                    \n
                  • Clearer acquisition measurement:<\/strong> Understand which channels truly introduce new audiences.<\/li>\n
                  • Better conversion optimization:<\/strong> Identify first-time friction points\u2014messaging, trust, UX, pricing clarity\u2014central to Conversion & Measurement<\/strong>.<\/li>\n
                  • Improved forecasting:<\/strong> New User trends help predict future pipeline when paired with conversion rates and lag times.<\/li>\n
                  • More efficient spend:<\/strong> Optimize for cost per New User and quality indicators rather than raw clicks or sessions.<\/li>\n
                  • Stronger audience experience:<\/strong> Tailor landing pages and onboarding for first-time visitors, reducing confusion and increasing confidence.<\/li>\n<\/ul>\n\n\n\n

                    Challenges of New User<\/h2>\n\n\n\n

                    New User counts can be misleading if you don\u2019t account for real-world measurement limitations:<\/p>\n\n\n\n

                      \n
                    • Identity fragmentation:<\/strong> cookie deletion, private browsing, device switching, and browser restrictions can inflate New User counts.<\/li>\n
                    • Consent impacts:<\/strong> opt-outs reduce observability; New User may drop even when real demand is stable.<\/li>\n
                    • Bot and invalid traffic:<\/strong> can create artificial New User spikes if not filtered.<\/li>\n
                    • Attribution distortion:<\/strong> mis-tagged campaigns or missing parameters can mis-credit New Users to \u201cdirect\u201d or the wrong channel, weakening Analytics<\/strong> insights.<\/li>\n
                    • Cross-domain and app-web gaps:<\/strong> users moving between domains or platforms may be double-counted without proper configuration.<\/li>\n
                    • Over-optimizing for \u201cnew\u201d at the expense of quality:<\/strong> chasing New Users can reduce overall ROI if those users don\u2019t convert or retain.<\/li>\n<\/ul>\n\n\n\n

                      A mature Conversion & Measurement<\/strong> approach treats New User as one signal in a system, not as the goal by itself.<\/p>\n\n\n\n

                      Best Practices for New User<\/h2>\n\n\n\n

                      Define New User explicitly for your organization<\/h3>\n\n\n\n
                        \n
                      • Clarify whether \u201cnew\u201d means first-ever seen, new within a time window, or new to a product line.<\/li>\n
                      • Document the identity basis (cookie\/device vs authenticated) and known limitations in your Analytics<\/strong> notes.<\/li>\n<\/ul>\n\n\n\n

                        Segment New User performance by intent and landing context<\/h3>\n\n\n\n
                          \n
                        • Compare New Users landing on high-intent pages vs educational pages.<\/li>\n
                        • Evaluate New User conversion paths separately from returning users to avoid blended averages.<\/li>\n<\/ul>\n\n\n\n

                          Focus on quality, not only volume<\/h3>\n\n\n\n
                            \n
                          • Track downstream actions (activation, lead qualification, first purchase, repeat usage).<\/li>\n
                          • Build cohorts of New Users and measure retention and LTV proxies over time.<\/li>\n<\/ul>\n\n\n\n

                            Improve measurement reliability<\/h3>\n\n\n\n
                              \n
                            • Implement consistent UTM\/campaign tagging rules.<\/li>\n
                            • Use first-party tracking where appropriate and compliant.<\/li>\n
                            • Set up monitoring for sudden shifts in New User rates, which often indicate tracking changes.<\/li>\n<\/ul>\n\n\n\n

                              Connect New User to experimentation<\/h3>\n\n\n\n

                              In Conversion & Measurement<\/strong>, prioritize tests that reduce first-visit friction:\n– clearer value proposition above the fold\n– social proof and trust signals\n– faster performance and simpler forms\n– onboarding sequences tailored to first-time visitors<\/p>\n\n\n\n

                              Tools Used for New User<\/h2>\n\n\n\n

                              New User measurement is typically operationalized through a stack of systems rather than a single tool:<\/p>\n\n\n\n

                                \n
                              • Analytics tools:<\/strong> collect events, define New User logic, build segments, and run funnels\/cohorts.<\/li>\n
                              • Tag management systems:<\/strong> standardize instrumentation and reduce deployment friction.<\/li>\n
                              • Consent management platforms:<\/strong> manage privacy choices that directly affect New User observability.<\/li>\n
                              • Ad platforms:<\/strong> provide prospecting\/remarketing audience controls and reporting that can be reconciled with Analytics<\/strong> for Conversion & Measurement<\/strong>.<\/li>\n
                              • CRM and marketing automation:<\/strong> connect New Users to leads, lifecycle stages, and revenue outcomes.<\/li>\n
                              • Data warehouses and BI dashboards:<\/strong> unify web\/app\/CRM data for more accurate New User cohort reporting and channel ROI analysis.<\/li>\n
                              • SEO and site performance tools:<\/strong> help explain New User changes caused by rankings, technical SEO, or performance shifts.<\/li>\n<\/ul>\n\n\n\n

                                The goal is consistency: the same New User definition should drive reporting, experimentation, and strategic decisions.<\/p>\n\n\n\n

                                Metrics Related to New User<\/h2>\n\n\n\n

                                New User becomes actionable when paired with complementary metrics:<\/p>\n\n\n\n

                                Acquisition and efficiency<\/h3>\n\n\n\n
                                  \n
                                • New Users by channel\/source\/campaign<\/strong><\/li>\n
                                • Cost per New User (CPU):<\/strong> spend divided by New User count (use carefully; validate quality)<\/li>\n
                                • New User share:<\/strong> New Users as a percentage of total users\/sessions<\/li>\n<\/ul>\n\n\n\n

                                  Conversion & Measurement outcomes<\/h3>\n\n\n\n
                                    \n
                                  • New User conversion rate:<\/strong> purchases, sign-ups, demo requests, or key events per New User<\/li>\n
                                  • Time to convert:<\/strong> how long New Users take to complete primary actions<\/li>\n
                                  • Funnel completion rate (New User segment):<\/strong> step-by-step drop-off for first-time visitors<\/li>\n<\/ul>\n\n\n\n

                                    Engagement and quality<\/h3>\n\n\n\n
                                      \n
                                    • Engaged sessions per New User<\/strong> (or comparable engagement signals)<\/li>\n
                                    • Content depth for New Users:<\/strong> pages viewed, scroll depth, video completion<\/li>\n
                                    • Activation rate:<\/strong> completion of first meaningful in-product action<\/li>\n<\/ul>\n\n\n\n

                                      Retention and value proxies<\/h3>\n\n\n\n
                                        \n
                                      • Returning rate of New Users:<\/strong> how many come back within 7\/30 days<\/li>\n
                                      • Cohort retention curves:<\/strong> behavior of New Users over time<\/li>\n
                                      • LTV or revenue per New User<\/strong> (when identity and revenue linking are strong)<\/li>\n<\/ul>\n\n\n\n

                                        Future Trends of New User<\/h2>\n\n\n\n

                                        New User measurement is evolving as privacy expectations and platforms change:<\/p>\n\n\n\n

                                          \n
                                        • More modeled and aggregated measurement:<\/strong> Analytics<\/strong> platforms increasingly rely on modeling when direct identifiers are unavailable. This affects how confidently you interpret New User trends in Conversion & Measurement<\/strong>.<\/li>\n
                                        • First-party data strategies:<\/strong> authenticated experiences, preference centers, and value exchanges (content, tools, membership) will make New User identification more durable and useful.<\/li>\n
                                        • AI-assisted insights:<\/strong> automated anomaly detection, audience clustering, and predictive scoring will help teams identify which New Users are likely to convert or churn\u2014shifting New User from a count to a prioritization signal.<\/li>\n
                                        • Personalization with constraints:<\/strong> personalization for New Users will lean more on contextual signals (page intent, device, geography, referrer category) rather than granular tracking.<\/li>\n
                                        • Cross-platform journeys:<\/strong> as users move between web, app, and offline touchpoints, New User understanding will increasingly require integrated measurement and careful governance.<\/li>\n<\/ul>\n\n\n\n

                                          The teams that win will treat New User as part of a broader measurement design, not a single dashboard KPI.<\/p>\n\n\n\n

                                          New User vs Related Terms<\/h2>\n\n\n\n

                                          New User vs Returning User<\/h3>\n\n\n\n
                                            \n
                                          • New User:<\/strong> first observed user in the measurement context<\/li>\n
                                          • Returning User:<\/strong> a previously observed user coming back\nIn Conversion & Measurement<\/strong>, New Users often need education and trust-building, while returning users respond better to reminders, offers, and personalized experiences.<\/li>\n<\/ul>\n\n\n\n

                                            New User vs Unique Visitor\/User<\/h3>\n\n\n\n
                                              \n
                                            • Unique user\/visitor:<\/strong> typically deduplicated count within a time period (day\/week\/month), depending on the tool<\/li>\n
                                            • New User:<\/strong> subset of uniques who are first-time observed\nIn Analytics<\/strong>, unique counts answer \u201chow many individuals did we reach,\u201d while New User answers \u201chow many were first-time.\u201d<\/li>\n<\/ul>\n\n\n\n

                                              New User vs New Customer<\/h3>\n\n\n\n
                                                \n
                                              • New User:<\/strong> first-time measured visitor\/app user<\/li>\n
                                              • New Customer:<\/strong> first-time purchaser (or first-time revenue event)\nA New User can become a new customer, but many New Users never convert. Strong Conversion & Measurement<\/strong> connects these concepts through funnels and cohorts.<\/li>\n<\/ul>\n\n\n\n

                                                Who Should Learn New User<\/h2>\n\n\n\n
                                                  \n
                                                • Marketers:<\/strong> to evaluate acquisition channels, creative strategy, and prospecting vs remarketing performance in Conversion & Measurement<\/strong>.<\/li>\n
                                                • Analysts:<\/strong> to build accurate segments, cohorts, and attribution views in Analytics<\/strong>.<\/li>\n
                                                • Agencies:<\/strong> to report growth honestly and defend strategy with clear New User vs returning splits.<\/li>\n
                                                • Business owners and founders:<\/strong> to understand whether growth is expanding the market or re-engaging the same audience.<\/li>\n
                                                • Developers and product teams:<\/strong> to implement identity, consent, and event instrumentation that makes New User measurement trustworthy.<\/li>\n<\/ul>\n\n\n\n

                                                  Summary of New User<\/h2>\n\n\n\n

                                                  A New User<\/strong> is a first-time recognized user in your measurement environment, determined by how your Analytics<\/strong> system identifies and deduplicates people. It matters because it separates acquisition from retention, making Conversion & Measurement<\/strong> reporting more truthful and more actionable. When combined with conversion, engagement, and cohort metrics, New User becomes a powerful signal for optimizing campaigns, landing experiences, onboarding, and long-term growth.<\/p>\n\n\n\n

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

                                                  1) What does New User mean in practical terms?<\/h3>\n\n\n\n

                                                  A New User is someone your measurement system detects for the first time based on its identifiers (such as cookies, device IDs, or login-based IDs). It\u2019s \u201cnewly observed,\u201d not necessarily \u201cnew to your brand.\u201d<\/p>\n\n\n\n

                                                  2) Why can New User counts suddenly spike or drop?<\/h3>\n\n\n\n

                                                  Common causes include tracking changes, consent rate shifts, cookie restrictions, campaign tagging errors, bot traffic, or site\/app releases that affect identifiers. In Analytics<\/strong>, treat sudden New User shifts as a data-quality investigation first.<\/p>\n\n\n\n

                                                  3) Is New User the same as a new customer?<\/h3>\n\n\n\n

                                                  No. A New User is a first-time measured visitor or app user, while a new customer is someone who completes a first purchase (or revenue event). Conversion & Measurement<\/strong> should connect them through funnel and cohort analysis.<\/p>\n\n\n\n

                                                  4) How should I use New User for campaign optimization?<\/h3>\n\n\n\n

                                                  Use New User to evaluate prospecting effectiveness, then validate quality with downstream metrics (activation, lead qualification, purchase rate, retention). Optimize creative, targeting, and landing pages based on New User segment behavior.<\/p>\n\n\n\n

                                                  5) What\u2019s a good New User conversion rate?<\/h3>\n\n\n\n

                                                  There isn\u2019t a universal benchmark. It depends on intent, price point, funnel complexity, and channel mix. The most useful approach in Conversion & Measurement<\/strong> is to compare New User conversion rates across channels and over time, controlling for landing-page intent.<\/p>\n\n\n\n

                                                  6) How does Analytics determine whether someone is a New User?<\/h3>\n\n\n\n

                                                  Analytics<\/strong> tools classify New User status by checking whether a user identifier has been seen before within their rules and retention settings. If the identifier is new, the user is counted as New User; otherwise, returning.<\/p>\n\n\n\n

                                                  7) Can one person be counted as multiple New Users?<\/h3>\n\n\n\n

                                                  Yes. If the same person uses different devices, browsers, or clears cookies\u2014or if identities can\u2019t be joined\u2014they may be counted as multiple New Users. This is why identity strategy and measurement governance matter in Conversion & Measurement<\/strong>.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                                  A **New User** is more than a vanity number on a dashboard\u2014it\u2019s a foundational concept in **Conversion & Measurement** because it represents first-time, trackable interactions with your brand. In **Analytics**, New User counts help teams separate acquisition performance from retention behavior, evaluate campaign reach, and understand whether growth is coming from fresh demand or returning audiences.<\/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":[1887],"tags":[],"class_list":["post-6903","post","type-post","status-publish","format-standard","hentry","category-analytics"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/6903","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=6903"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/6903\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=6903"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=6903"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=6903"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}