{"id":6868,"date":"2026-03-23T15:43:23","date_gmt":"2026-03-23T15:43:23","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/first-visit-event\/"},"modified":"2026-03-23T15:43:23","modified_gmt":"2026-03-23T15:43:23","slug":"first-visit-event","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/first-visit-event\/","title":{"rendered":"First_visit Event: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Analytics"},"content":{"rendered":"\n

Understanding when someone truly interacts with your brand for the first time is a foundational skill in modern Conversion & Measurement<\/strong>. The First_visit Event<\/strong> is a key concept in event-based Analytics<\/strong> that helps teams identify and analyze a user\u2019s first recorded visit to a digital property (typically a website). It\u2019s often the starting point for acquisition reporting, new-user cohorts, funnel analysis, and lifecycle measurement.<\/p>\n\n\n\n

Why does the First_visit Event<\/strong> matter? Because many marketing decisions depend on separating \u201cnew\u201d from \u201creturning\u201d behavior. Without a reliable first-visit signal, you can misread channel performance, inflate prospecting success, undercount retention, and misattribute conversions. In a mature Conversion & Measurement<\/strong> strategy, the First_visit Event<\/strong> is one of the earliest \u201cmoments\u201d in the customer journey that your Analytics<\/strong> implementation should capture accurately and consistently.<\/p>\n\n\n\n

2. What Is First_visit Event?<\/h2>\n\n\n\n

The First_visit Event<\/strong> is an event that indicates a user has visited your site for the first time within the measurement context of your analytics setup. In practical terms, it\u2019s the system\u2019s way of saying: \u201cThis browser\/device (or identified user) has no prior recorded visit here, so this is a first-time visit.\u201d<\/p>\n\n\n\n

The core concept<\/h3>\n\n\n\n

Event-based Analytics<\/strong> platforms typically assign a unique identifier (often via a cookie or local storage) to recognize a browser\/device across sessions. When that identifier is seen for the first time, the system records a First_visit Event<\/strong>.<\/p>\n\n\n\n

The business meaning<\/h3>\n\n\n\n

From a business perspective, the First_visit Event<\/strong> is an acquisition milestone. It represents the earliest measurable point where marketing, PR, SEO, partnerships, or direct traffic successfully created an initial interaction.<\/p>\n\n\n\n

Where it fits in Conversion & Measurement<\/h3>\n\n\n\n

In Conversion & Measurement<\/strong>, the First_visit Event<\/strong> anchors:\n– \u201cNew user\u201d reporting and prospecting performance\n– First-touch discovery and landing-page effectiveness\n– Cohort analysis (how users behave after the first visit)\n– Funnels that start at awareness or first engagement<\/p>\n\n\n\n

Its role inside Analytics<\/h3>\n\n\n\n

Inside Analytics<\/strong>, the First_visit Event<\/strong> is often used to:\n– Populate acquisition dimensions and \u201cnew vs returning\u201d segments\n– Trigger first-time user audiences for remarketing or personalization\n– Start user lifecycle timelines (first visit \u2192 engagement \u2192 conversion \u2192 retention)<\/p>\n\n\n\n

3. Why First_visit Event Matters in Conversion & Measurement<\/h2>\n\n\n\n

The First_visit Event<\/strong> matters because \u201cfirst-time\u201d behavior is materially different from returning behavior, and mixing them leads to misleading insights.<\/p>\n\n\n\n

Strategic importance<\/h3>\n\n\n\n

A strong Conversion & Measurement<\/strong> program needs to answer questions like:\n– Which channels bring genuinely new users (not just repeat visitors)?\n– Which landing pages are best at converting first-time visitors?\n– How long does it take for new visitors to become customers?<\/p>\n\n\n\n

The First_visit Event<\/strong> is central to answering these accurately in Analytics<\/strong>.<\/p>\n\n\n\n

Business value<\/h3>\n\n\n\n

When you can confidently identify first-time visits, you can:\n– Measure top-of-funnel efficiency (cost per new visitor, new-user conversion rate)\n– Build accurate acquisition cohorts (first week\/month behavior)\n– Forecast growth more reliably by separating acquisition from retention<\/p>\n\n\n\n

Marketing outcomes<\/h3>\n\n\n\n

Using the First_visit Event<\/strong> improves decision-making across SEO, paid media, and content:\n– Paid media: detect wasted spend on returning users in prospecting campaigns\n– SEO: evaluate which queries and pages attract net-new audiences\n– Content: measure whether thought leadership brings first-time visitors who later convert<\/p>\n\n\n\n

Competitive advantage<\/h3>\n\n\n\n

Teams with clean first-visit measurement can optimize faster. In Conversion & Measurement<\/strong>, speed and clarity create advantage: you reallocate budget sooner, fix landing pages earlier, and identify high-quality acquisition sources before competitors do.<\/p>\n\n\n\n

4. How First_visit Event Works<\/h2>\n\n\n\n

While each analytics system differs, the First_visit Event<\/strong> usually works through a practical flow:<\/p>\n\n\n\n

    \n
  1. \n

    Input \/ trigger<\/strong>\n A user loads a page on your site. The tracking setup checks for an existing identifier associated with previous visits to that site\/property.<\/p>\n<\/li>\n

  2. \n

    Processing \/ detection<\/strong>\n – If the identifier is missing, new, or reset, the system treats the user as new.\n – The platform records a First_visit Event<\/strong> and may initialize a user profile in Analytics<\/strong>.<\/p>\n<\/li>\n

  3. \n

    Execution \/ attribution<\/strong>\n The system attributes the first visit to observed acquisition data at that moment (e.g., referrer, campaign parameters, channel grouping). This is why accurate tagging and referrer handling matter in Conversion & Measurement<\/strong>.<\/p>\n<\/li>\n

  4. \n

    Output \/ outcome<\/strong>\n You can now segment reporting and audiences based on first-time status\u2014supporting new-user funnels, first-touch cohorts, and conversion analysis in Analytics<\/strong>.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

    A critical nuance: the First_visit Event<\/strong> typically represents \u201cfirst recorded visit under current measurement conditions,\u201d not a guaranteed first-ever human encounter with your brand. Users switch devices, clear cookies, use private browsing, block tracking, or arrive via in-app browsers\u2014each can affect detection.<\/p>\n\n\n\n

    5. Key Components of First_visit Event<\/h2>\n\n\n\n

    To use the First_visit Event<\/strong> effectively in Conversion & Measurement<\/strong>, you need more than the event itself\u2014you need a complete measurement ecosystem around it.<\/p>\n\n\n\n

    Data inputs<\/h3>\n\n\n\n
      \n
    • Device\/browser identifiers (cookies, local storage, or similar mechanisms)<\/li>\n
    • Referrer and campaign tagging (e.g., UTM-like parameters)<\/li>\n
    • Consent state (whether measurement is allowed)<\/li>\n
    • User identifiers (if you use authenticated IDs like user_id<\/code>)<\/li>\n<\/ul>\n\n\n\n

      Systems and processes<\/h3>\n\n\n\n
        \n
      • Tag management and deployment governance<\/li>\n
      • Cross-domain measurement (if you operate multiple domains or checkout flows)<\/li>\n
      • Data quality monitoring (unexpected spikes\/drops in first visits)<\/li>\n<\/ul>\n\n\n\n

        Team responsibilities<\/h3>\n\n\n\n
          \n
        • Marketing: campaign tagging discipline and channel definitions<\/li>\n
        • Analytics\/measurement: event validation, identity strategy, reporting logic<\/li>\n
        • Developers: implementation correctness, performance, consent integration<\/li>\n
        • Privacy\/legal: policies and consent requirements that shape what\u2019s measurable<\/li>\n<\/ul>\n\n\n\n

          6. Types of First_visit Event<\/h2>\n\n\n\n

          The First_visit Event<\/strong> doesn\u2019t have \u201cofficial types\u201d in every platform, but in practice there are important distinctions that affect Analytics<\/strong> interpretation and Conversion & Measurement<\/strong> decisions.<\/p>\n\n\n\n

          First-time on a device\/browser vs first-time as a known user<\/h3>\n\n\n\n
            \n
          • Device\/browser first-time<\/strong>: a new cookie\/device identifier triggers the First_visit Event<\/strong>.<\/li>\n
          • Known user first-time<\/strong>: if a user logs in and you stitch identity, your business may define \u201cfirst visit\u201d as the first time a person (not device) engaged.<\/li>\n<\/ul>\n\n\n\n

            Web first-visit vs app first-open context<\/h3>\n\n\n\n

            In many measurement stacks, websites track a First_visit Event<\/strong>, while mobile apps track a concept closer to \u201cfirst open.\u201d The principle is similar\u2014first recorded interaction\u2014but the technical signals differ.<\/p>\n\n\n\n

            Property-level first visit<\/h3>\n\n\n\n

            If you run multiple brands, subdomains, or regions, \u201cfirst visit\u201d may be defined per property. In Conversion & Measurement<\/strong>, be explicit: is it first visit to the entire ecosystem, or to one site\/app?<\/p>\n\n\n\n

            7. Real-World Examples of First_visit Event<\/h2>\n\n\n\n

            Example 1: SEO landing pages that attract net-new demand<\/h3>\n\n\n\n

            A B2B SaaS team wants to know which content pages create pipeline. Using the First_visit Event<\/strong> in Analytics<\/strong>, they segment conversions by \u201cusers whose first touch was blog content.\u201d They discover a handful of comparison pages drive a high share of first-time visits that later request demos, guiding the SEO roadmap and internal linking strategy.<\/p>\n\n\n\n

            Example 2: Paid prospecting vs retargeting overlap<\/h3>\n\n\n\n

            An ecommerce brand runs prospecting ads but sees rising costs. They use the First_visit Event<\/strong> to measure how many ad-driven sessions are truly first-time visits. The analysis reveals a large portion are returning users, meaning prospecting is cannibalizing retargeting. They tighten exclusions and improve Conversion & Measurement<\/strong> clarity by separating new-user KPIs from overall conversions.<\/p>\n\n\n\n

            Example 3: Cross-domain checkout causing inflated \u201cnew users\u201d<\/h3>\n\n\n\n

            A publisher sends readers from content-site.com<\/code> to subscribe-now.com<\/code> to purchase. Without cross-domain tracking, the subscription domain records many First_visit Event<\/strong> hits that are actually returning readers. Fixing cross-domain measurement reduces inflated new-user counts and improves subscription funnel Analytics<\/strong>.<\/p>\n\n\n\n

            8. Benefits of Using First_visit Event<\/h2>\n\n\n\n

            When implemented and interpreted correctly, the First_visit Event<\/strong> provides tangible benefits across Conversion & Measurement<\/strong> and Analytics<\/strong>:<\/p>\n\n\n\n

              \n
            • Better budget allocation:<\/strong> distinguish acquisition impact from retention-driven conversions.<\/li>\n
            • Improved funnel design:<\/strong> optimize first-session experiences (landing pages, onboarding flows).<\/li>\n
            • Cleaner cohorts:<\/strong> measure D7\/D30 retention, LTV, and time-to-conversion from a consistent starting point.<\/li>\n
            • More relevant personalization:<\/strong> tailor messaging for first-time visitors vs returning users.<\/li>\n
            • Operational efficiency:<\/strong> reduce debates about \u201cnew users\u201d by standardizing definitions and reporting.<\/li>\n<\/ul>\n\n\n\n

              9. Challenges of First_visit Event<\/h2>\n\n\n\n

              The First_visit Event<\/strong> is valuable, but it\u2019s not immune to measurement realities.<\/p>\n\n\n\n

              Technical challenges<\/h3>\n\n\n\n
                \n
              • Cookie deletion, browser restrictions, private browsing, and device switching<\/li>\n
              • Consent opt-outs that prevent persistent identification<\/li>\n
              • Cross-domain and subdomain tracking gaps<\/li>\n
              • In-app browsers and referral handling issues<\/li>\n<\/ul>\n\n\n\n

                Strategic risks<\/h3>\n\n\n\n
                  \n
                • Treating the First_visit Event<\/strong> as \u201cfirst-ever brand exposure\u201d (it\u2019s often not)<\/li>\n
                • Over-optimizing for \u201cnew users\u201d while ignoring quality (engagement, conversion likelihood)<\/li>\n
                • Using inconsistent definitions across teams, dashboards, and tools<\/li>\n<\/ul>\n\n\n\n

                  Data limitations<\/h3>\n\n\n\n

                  In Analytics<\/strong>, first-visit counts can change due to:\n– Implementation changes (tag updates, consent configuration)\n– Attribution model or channel grouping updates\n– Traffic anomalies (bot traffic, misconfigured redirects)<\/p>\n\n\n\n

                  10. Best Practices for First_visit Event<\/h2>\n\n\n\n

                  Use these practices to make the First_visit Event<\/strong> dependable for Conversion & Measurement<\/strong> decision-making:<\/p>\n\n\n\n

                    \n
                  1. \n

                    Define \u201cfirst visit\u201d for your business<\/strong>\n Decide whether \u201cfirst\u201d means device-first, person-first (authenticated), or property-first. Document it.<\/p>\n<\/li>\n

                  2. \n

                    Maintain strict campaign tagging standards<\/strong>\n Consistent tagging ensures the First_visit Event<\/strong> is attributed to the right source\/medium\/channel in Analytics<\/strong>.<\/p>\n<\/li>\n

                  3. \n

                    Implement cross-domain measurement where needed<\/strong>\n If users move between domains (checkout, booking engines, help centers), ensure continuity so the first visit isn\u2019t accidentally re-recorded.<\/p>\n<\/li>\n

                  4. \n

                    Validate with QA and anomaly detection<\/strong>\n Monitor daily\/weekly first-visit volumes. Sudden spikes often indicate tracking duplication, referral breaks, or consent changes.<\/p>\n<\/li>\n

                  5. \n

                    Segment quality, not just quantity<\/strong>\n Pair First_visit Event<\/strong> analysis with engagement and conversion metrics so you optimize for valuable new users, not just more new users.<\/p>\n<\/li>\n

                  6. \n

                    Use cohorts to connect first visit to outcomes<\/strong>\n In Conversion & Measurement<\/strong>, evaluate downstream behavior: first visit \u2192 product view \u2192 signup \u2192 purchase \u2192 repeat.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                    11. Tools Used for First_visit Event<\/h2>\n\n\n\n

                    You don\u2019t \u201cmanage\u201d the First_visit Event<\/strong> with a single tool; you operationalize it across a measurement stack:<\/p>\n\n\n\n

                      \n
                    • Analytics tools:<\/strong> event-based platforms that record first-time visits and acquisition dimensions.<\/li>\n
                    • Tag management systems:<\/strong> control when tags fire, manage consent states, and standardize data collection.<\/li>\n
                    • Consent management platforms:<\/strong> capture user choices and communicate consent signals to Analytics<\/strong> and advertising systems.<\/li>\n
                    • Customer data platforms (CDPs) \/ identity systems:<\/strong> help unify device-first and person-first definitions when users authenticate.<\/li>\n
                    • Data warehouses and BI dashboards:<\/strong> enable cohorting, retention analysis, and blending first-visit data with CRM and revenue.<\/li>\n
                    • Experimentation tools:<\/strong> test first-visit landing page experiences and measure lift for new-user conversion.<\/li>\n
                    • CRM and marketing automation:<\/strong> connect first-visit cohorts to lead lifecycle stages and nurture performance.<\/li>\n<\/ul>\n\n\n\n

                      In Conversion & Measurement<\/strong>, the goal is consistency: the First_visit Event<\/strong> should align across reporting, audiences, and downstream activation where privacy permissions allow.<\/p>\n\n\n\n

                      12. Metrics Related to First_visit Event<\/h2>\n\n\n\n

                      The First_visit Event<\/strong> becomes powerful when tied to metrics that represent efficiency and business impact:<\/p>\n\n\n\n

                      Acquisition and engagement metrics<\/h3>\n\n\n\n
                        \n
                      • New users (as defined by your Analytics<\/strong> platform)<\/li>\n
                      • First-time sessions \/ first-time engaged sessions<\/li>\n
                      • Bounce rate or engagement rate for first-time visitors (depending on platform definitions)<\/li>\n
                      • Pages per session and time on site for first-time visitors<\/li>\n<\/ul>\n\n\n\n

                        Conversion metrics<\/h3>\n\n\n\n
                          \n
                        • New-user conversion rate (signup, lead, purchase)<\/li>\n
                        • Time to first conversion (median days from first visit)<\/li>\n
                        • Funnel completion rate starting from the first session<\/li>\n<\/ul>\n\n\n\n

                          ROI and efficiency metrics<\/h3>\n\n\n\n
                            \n
                          • Cost per first-time visitor (for paid channels)<\/li>\n
                          • Customer acquisition cost (CAC) for cohorts defined by First_visit Event<\/strong><\/li>\n
                          • ROAS segmented by new vs returning users (where applicable)<\/li>\n<\/ul>\n\n\n\n

                            Quality and retention metrics<\/h3>\n\n\n\n
                              \n
                            • Repeat visit rate after first visit (D1\/D7\/D30 return)<\/li>\n
                            • Cohorted LTV starting from first recorded visit<\/li>\n
                            • Lead-to-customer rate for first-visit cohorts (B2B)<\/li>\n<\/ul>\n\n\n\n

                              13. Future Trends of First_visit Event<\/h2>\n\n\n\n

                              The First_visit Event<\/strong> is evolving as measurement environments change.<\/p>\n\n\n\n

                              Privacy-driven measurement shifts<\/h3>\n\n\n\n

                              As browsers reduce third-party tracking and users exercise consent choices, first-visit detection becomes more probabilistic or modeled in some environments. In Conversion & Measurement<\/strong>, expect more emphasis on:\n– First-party data strategies\n– Server-side collection patterns (where compliant)\n– Transparent consent and data minimization<\/p>\n\n\n\n

                              AI and automation<\/h3>\n\n\n\n

                              AI will increasingly help interpret Analytics<\/strong> signals around first visits by:\n– Detecting anomalies (sudden first-visit spikes from bots or misconfigurations)\n– Predicting conversion propensity from first-session behavior\n– Automating audience creation for first-time user journeys<\/p>\n\n\n\n

                              Personalization and lifecycle measurement<\/h3>\n\n\n\n

                              As teams mature, the First_visit Event<\/strong> becomes the entry point to lifecycle orchestration\u2014on-site personalization, onboarding sequences, and multi-touch Conversion & Measurement<\/strong> models that connect first visit to long-term value.<\/p>\n\n\n\n

                              14. First_visit Event vs Related Terms<\/h2>\n\n\n\n

                              First_visit Event vs New User<\/h3>\n\n\n\n

                              \u201cNew user\u201d is often a reporting metric or user attribute derived from first-time detection rules. The First_visit Event<\/strong> is the actual recorded signal that a first visit occurred. In Analytics<\/strong>, new-user counts typically depend on how the platform interprets the First_visit Event<\/strong> and identity.<\/p>\n\n\n\n

                              First_visit Event vs Session Start<\/h3>\n\n\n\n

                              \u201cSession start\u201d happens at the beginning of any session\u2014new or returning. The First_visit Event<\/strong> happens only once per recognized user\/device (under normal conditions). In Conversion & Measurement<\/strong>, session-start metrics help with overall traffic health; first-visit metrics help with acquisition.<\/p>\n\n\n\n

                              First_visit Event vs First Open (Apps)<\/h3>\n\n\n\n

                              \u201cFirst open\u201d is the app equivalent concept: the first time an app is opened after install. The First_visit Event<\/strong> is typically web-focused. Both support similar Analytics<\/strong> use cases (acquisition cohorts and onboarding), but they rely on different technical identifiers.<\/p>\n\n\n\n

                              15. Who Should Learn First_visit Event<\/h2>\n\n\n\n
                                \n
                              • Marketers:<\/strong> to measure acquisition quality, optimize landing pages, and separate prospecting from retention results in Conversion & Measurement<\/strong>.<\/li>\n
                              • Analysts:<\/strong> to build trustworthy cohorts, attribution views, and lifecycle dashboards in Analytics<\/strong>.<\/li>\n
                              • Agencies:<\/strong> to prove incremental impact, avoid misleading \u201cnew user\u201d reporting, and standardize measurement across clients.<\/li>\n
                              • Business owners and founders:<\/strong> to understand growth levers\u2014how many truly new people the business reaches and how they convert over time.<\/li>\n
                              • Developers:<\/strong> to implement cross-domain identity, consent-aware tracking, and reliable event pipelines that keep the First_visit Event<\/strong> accurate.<\/li>\n<\/ul>\n\n\n\n

                                16. Summary of First_visit Event<\/h2>\n\n\n\n

                                The First_visit Event<\/strong> records a user\u2019s first measured visit within an event-based Analytics<\/strong> setup. It matters because it anchors acquisition measurement, new-user cohorts, and first-touch performance reporting. In Conversion & Measurement<\/strong>, it helps teams distinguish true growth (new audiences) from returning behavior, improving budget allocation, funnel optimization, and lifecycle analysis. When paired with clear definitions, strong tagging, and privacy-aware implementation, the First_visit Event<\/strong> becomes a dependable building block for better Analytics<\/strong> and better decisions.<\/p>\n\n\n\n

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

                                1) What is the First_visit Event used for?<\/h3>\n\n\n\n

                                The First_visit Event<\/strong> is used to identify first-time visitors so you can analyze acquisition sources, create new-user cohorts, and measure how first-time users convert and retain within Conversion & Measurement<\/strong>.<\/p>\n\n\n\n

                                2) Does the First_visit Event mean it\u2019s the person\u2019s first time hearing about my brand?<\/h3>\n\n\n\n

                                Not necessarily. It usually means it\u2019s the first recorded visit for that browser\/device (or within your identity rules). People may have visited on another device, cleared cookies, or blocked tracking.<\/p>\n\n\n\n

                                3) Why did my First_visit Event count suddenly increase or drop?<\/h3>\n\n\n\n

                                Common causes include consent configuration changes, cross-domain tracking issues, tag duplication, referrer\/redirect changes, or shifts in bot traffic. Investigate implementation changes and compare trends across channels in Analytics<\/strong>.<\/p>\n\n\n\n

                                4) How does Analytics decide whether a visit is \u201cfirst\u201d or \u201creturning\u201d?<\/h3>\n\n\n\n

                                Most Analytics<\/strong> platforms rely on persistent identifiers (like first-party cookies or app instance IDs) plus rules about sessionization and consent. If the identifier is new or missing, a First_visit Event<\/strong> may be recorded.<\/p>\n\n\n\n

                                5) Can I use the First_visit Event for remarketing or personalization?<\/h3>\n\n\n\n

                                Yes\u2014where privacy permissions allow. Many teams build audiences like \u201cfirst-time visitors in the last 7 days\u201d to tailor onboarding messages, offers, or educational flows as part of Conversion & Measurement<\/strong>.<\/p>\n\n\n\n

                                6) What\u2019s the difference between First_visit Event and new-user conversion rate?<\/h3>\n\n\n\n

                                The First_visit Event<\/strong> is the signal that defines a first-time visitor. New-user conversion rate is a KPI calculated by dividing conversions by the number of new users (often derived from first-visit detection) over a period.<\/p>\n\n\n\n

                                7) How can I make First_visit Event reporting more accurate across domains and devices?<\/h3>\n\n\n\n

                                Use cross-domain measurement for multi-domain journeys, maintain consistent campaign tagging, and consider authenticated identity (user ID) where appropriate. Also monitor trends and validate data regularly in Analytics<\/strong> to catch breaks early.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                Understanding when someone truly interacts with your brand for the first time is a foundational skill in modern **Conversion & Measurement**. The **First_visit Event** is a key concept in event-based **Analytics** that helps teams identify and analyze a user\u2019s first recorded visit to a digital property (typically a website). It\u2019s often the starting point for acquisition reporting, new-user cohorts, funnel analysis, and lifecycle measurement.<\/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-6868","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\/6868","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=6868"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/6868\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=6868"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=6868"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=6868"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}