{"id":6872,"date":"2026-03-23T15:52:08","date_gmt":"2026-03-23T15:52:08","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/funnel-report\/"},"modified":"2026-03-23T15:52:08","modified_gmt":"2026-03-23T15:52:08","slug":"funnel-report","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/funnel-report\/","title":{"rendered":"Funnel Report: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Analytics"},"content":{"rendered":"\n

A Funnel Report<\/strong> is an Analytics view that shows how people move through a defined series of steps\u2014such as landing on a page, viewing a product, adding to cart, and completing a purchase\u2014and where they drop off along the way. In Conversion & Measurement<\/strong>, it\u2019s one of the most direct ways to translate user behavior into actionable insights: you can see exactly<\/em> which step is limiting growth and how changes to marketing, UX, or tracking impact outcomes.<\/p>\n\n\n\n

Modern Conversion & Measurement<\/strong> strategy relies on more than counting conversions. Teams need to understand pathways<\/em>, friction<\/em>, and intent<\/em>. A well-built Funnel Report<\/strong> brings structure to that understanding and turns scattered event data into an ordered story that marketers, analysts, and product teams can optimize.<\/p>\n\n\n\n

What Is Funnel Report?<\/h2>\n\n\n\n

A Funnel Report<\/strong> is a structured report that measures progression through a sequence of steps toward a goal. Each step represents a meaningful user action (or state), and the report quantifies:<\/p>\n\n\n\n

    \n
  • how many users enter each step <\/li>\n
  • how many continue to the next step <\/li>\n
  • the conversion rate between steps <\/li>\n
  • the overall completion rate for the funnel<\/li>\n<\/ul>\n\n\n\n

    The core concept is simple: most business outcomes require multiple actions, and those actions don\u2019t happen evenly. The business meaning of a Funnel Report<\/strong> is that it exposes where revenue or lead volume is being lost\u2014often long before the final conversion point.<\/p>\n\n\n\n

    Within Conversion & Measurement<\/strong>, the Funnel Report sits between high-level KPI reporting (e.g., total conversions) and deep diagnostic analysis (e.g., session replays or qualitative research). Inside Analytics<\/strong>, it\u2019s a foundational technique for understanding user journeys, comparing segments (new vs returning, organic vs paid), and quantifying the impact of changes.<\/p>\n\n\n\n

    Why Funnel Report Matters in Conversion & Measurement<\/h2>\n\n\n\n

    A Funnel Report matters because most \u201cconversion problems\u201d are not one problem\u2014they\u2019re a chain of smaller problems. Fixing the wrong link wastes time and budget.<\/p>\n\n\n\n

    Key ways Funnel Report supports Conversion & Measurement<\/strong> and business growth:<\/p>\n\n\n\n

      \n
    • Strategic focus:<\/strong> It identifies the step with the biggest opportunity, not just the loudest complaint. <\/li>\n
    • Marketing effectiveness:<\/strong> It distinguishes traffic quality issues (top-of-funnel) from experience issues (mid\/low funnel). <\/li>\n
    • Revenue leverage:<\/strong> Small improvements at high-volume steps often outperform dramatic changes at low-volume steps. <\/li>\n
    • Competitive advantage:<\/strong> Faster diagnosis means faster iteration\u2014landing pages, checkout flows, lead forms, onboarding, and nurture paths improve more quickly. <\/li>\n
    • Cross-team alignment:<\/strong> A Funnel Report provides a shared \u201cmap\u201d for marketing, product, UX, and sales to prioritize work using the same Analytics<\/strong> evidence.<\/li>\n<\/ul>\n\n\n\n

      In short, Funnel Report turns Conversion & Measurement<\/strong> into a repeatable optimization practice rather than a reactive reporting exercise.<\/p>\n\n\n\n

      How Funnel Report Works<\/h2>\n\n\n\n

      A Funnel Report<\/strong> is both conceptual and operational. In practice, it works through a clear workflow:<\/p>\n\n\n\n

        \n
      1. \n

        Input (definition + data collection)<\/strong>\n You define a goal (purchase, demo request, signup) and the steps that meaningfully lead to it. Then you ensure tracking captures those steps consistently\u2014typically via page views, events, or state changes.<\/p>\n<\/li>\n

      2. \n

        Processing (step logic + identity resolution)<\/strong>\n Your Analytics<\/strong> system evaluates which users reached which steps, in what order, within what time window. It also applies identity logic (user ID, device ID, cookies) to connect actions into a single journey when possible.<\/p>\n<\/li>\n

      3. \n

        Application (segmentation + diagnosis)<\/strong>\n You segment the funnel by traffic source, device, campaign, geography, landing page, user type, or experiment variant. You look for step-to-step conversion gaps and patterns (e.g., mobile drop-off at payment).<\/p>\n<\/li>\n

      4. \n

        Output (insights + actions)<\/strong>\n The Funnel Report outputs conversion rates and drop-offs by step. The value comes when teams turn those findings into changes: UX improvements, message alignment, better targeting, revised offers, or stronger instrumentation for Conversion & Measurement<\/strong>.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

        Key Components of Funnel Report<\/h2>\n\n\n\n

        A high-quality Funnel Report<\/strong> depends on more than charts. It requires clear definitions, reliable data, and ownership.<\/p>\n\n\n\n

        1) Funnel step definitions<\/h3>\n\n\n\n

        Each step should be unambiguous and tied to user intent. Examples:\n– \u201cViewed product page\u201d (not \u201cvisited site\u201d)\n– \u201cStarted checkout\u201d (not \u201cclicked buy\u201d)\n– \u201cSubmitted lead form\u201d (not \u201copened form\u201d)<\/p>\n\n\n\n

        2) Tracking plan and instrumentation<\/h3>\n\n\n\n

        A Funnel Report is only as good as the data feeding it. This includes:\n– event naming conventions and parameters (e.g., product_id, plan_type)\n– consistent firing rules across devices\/browsers\n– validation in staging and production<\/p>\n\n\n\n

        3) Identity, sessions, and attribution assumptions<\/h3>\n\n\n\n

        In Analytics<\/strong>, funnel outcomes can change depending on:\n– user vs session scope\n– cross-device identity stitching\n– attribution model (especially when segmenting by channel)<\/p>\n\n\n\n

        4) Time window and order rules<\/h3>\n\n\n\n

        Some funnels are strict (must happen in order), others are flexible. You also need a time boundary (same session, 7 days, 30 days) aligned to your buying cycle.<\/p>\n\n\n\n

        5) Governance and responsibilities<\/h3>\n\n\n\n

        Effective Conversion & Measurement<\/strong> requires ownership:\n– Marketing defines goals and segments\n– Analytics\/engineering ensures data quality\n– Product\/UX acts on friction points\n– Leadership aligns priorities and success criteria<\/p>\n\n\n\n

        Types of Funnel Report<\/h2>\n\n\n\n

        \u201cTypes\u201d of Funnel Report are less about formal categories and more about practical implementations. The most useful distinctions include:<\/p>\n\n\n\n

        1) Acquisition-to-conversion funnels<\/h3>\n\n\n\n

        Track progression from entry (landing page visit) to conversion. Useful for campaign and SEO performance in Conversion & Measurement<\/strong>.<\/p>\n\n\n\n

        2) Checkout or purchase funnels (ecommerce)<\/h3>\n\n\n\n

        Focused on product views \u2192 cart \u2192 checkout \u2192 payment \u2192 confirmation. These funnels often reveal the highest-impact fixes.<\/p>\n\n\n\n

        3) Lead generation funnels (B2B\/B2C)<\/h3>\n\n\n\n

        Track content view \u2192 form start \u2192 form submit \u2192 qualified lead actions. Often paired with CRM stages to connect Analytics<\/strong> to revenue.<\/p>\n\n\n\n

        4) Onboarding and activation funnels (SaaS\/apps)<\/h3>\n\n\n\n

        Track signup \u2192 key setup steps \u2192 \u201caha moment\u201d \u2192 activation. Strong for retention and lifecycle-based Conversion & Measurement<\/strong>.<\/p>\n\n\n\n

        5) Micro-funnels<\/h3>\n\n\n\n

        Small funnels inside a page or feature (e.g., video play \u2192 50% watched \u2192 CTA click). Useful for diagnosing engagement and intent.<\/p>\n\n\n\n

        Real-World Examples of Funnel Report<\/h2>\n\n\n\n

        Example 1: Paid search landing page to lead form submission<\/h3>\n\n\n\n

        A company runs ads to a \u201cBook a demo\u201d page. The Funnel Report steps:\n1) landing page view\n2) CTA click\n3) form start\n4) form submit\nThe Analytics<\/strong> view shows a strong CTA click rate but a sharp drop at form start. That suggests friction after the click\u2014slow form load, confusing fields, or mobile layout problems. In Conversion & Measurement<\/strong>, the action isn\u2019t \u201cbuy more clicks\u201d; it\u2019s improving the form experience and tracking form errors.<\/p>\n\n\n\n

        Example 2: Ecommerce checkout drop-off by device<\/h3>\n\n\n\n

        An online store builds a Funnel Report:\n1) product view\n2) add to cart\n3) begin checkout\n4) payment step\n5) purchase confirmation\nSegmentation shows mobile users drop heavily at the payment step, while desktop converts well. The team investigates and finds a third-party payment widget failing on certain mobile browsers. Fixing that single issue improves overall conversion rate without changing media spend\u2014a classic Conversion & Measurement<\/strong> win powered by Analytics<\/strong>.<\/p>\n\n\n\n

        Example 3: Content-to-signup funnel for SEO visitors<\/h3>\n\n\n\n

        A publisher or SaaS brand measures:\n1) blog article view\n2) scroll depth \/ engaged time\n3) newsletter CTA click\n4) email signup\nThe Funnel Report reveals that SEO traffic engages but doesn\u2019t click CTAs on certain article templates. The team tests better CTA placement, improves internal linking to relevant signup pages, and aligns the offer with search intent. This is Funnel Report applied to organic growth and Conversion & Measurement<\/strong> beyond ads.<\/p>\n\n\n\n

        Benefits of Using Funnel Report<\/h2>\n\n\n\n

        A consistent Funnel Report practice delivers compounding improvements:<\/p>\n\n\n\n

          \n
        • Higher conversion rates:<\/strong> By targeting the biggest drop-off step rather than making random site changes. <\/li>\n
        • Lower acquisition costs:<\/strong> Better funnel efficiency means you need fewer clicks\/leads to hit targets. <\/li>\n
        • Faster experimentation:<\/strong> Funnels provide a clear baseline and a way to measure lift per step in Analytics<\/strong>. <\/li>\n
        • Better user experience:<\/strong> Fixing friction improves trust, reduces abandonment, and supports long-term brand perception. <\/li>\n
        • Improved forecasting:<\/strong> Step-level conversion rates create more reliable projections than a single overall conversion metric. <\/li>\n
        • Clearer accountability:<\/strong> Teams can own specific steps (e.g., marketing owns landing page-to-CTA; product owns checkout usability).<\/li>\n<\/ul>\n\n\n\n

          Challenges of Funnel Report<\/h2>\n\n\n\n

          A Funnel Report can mislead if the measurement foundation is weak. Common challenges include:<\/p>\n\n\n\n

            \n
          • Tracking gaps and inconsistent event definitions:<\/strong> If \u201ccheckout start\u201d fires twice or not at all, step conversion rates become unreliable. <\/li>\n
          • Identity and cross-device limitations:<\/strong> Users may switch devices, clear cookies, or block tracking, affecting Analytics<\/strong> accuracy. <\/li>\n
          • Sampling or aggregation issues:<\/strong> Some reporting systems may sample data or apply thresholds, making small segments noisy. <\/li>\n
          • Misaligned step design:<\/strong> Steps that don\u2019t reflect intent (e.g., \u201cpage view\u201d as a meaningful step) create false signals. <\/li>\n
          • Attribution confusion:<\/strong> A Funnel Report segmented by channel can be misinterpreted if teams assume it represents \u201ccredit\u201d rather than \u201cbehavior.\u201d <\/li>\n
          • Over-optimization risk:<\/strong> Improving a step metric can harm overall outcomes if it pushes low-quality conversions (e.g., easier forms that reduce lead quality).<\/li>\n<\/ul>\n\n\n\n

            Strong Conversion & Measurement<\/strong> requires balancing funnel quantity with quality.<\/p>\n\n\n\n

            Best Practices for Funnel Report<\/h2>\n\n\n\n

            Define steps based on user intent<\/h3>\n\n\n\n

            Each step should represent progress toward the goal. Avoid vanity steps that don\u2019t reflect commitment.<\/p>\n\n\n\n

            Keep step counts manageable<\/h3>\n\n\n\n

            Most funnels work best with 4\u20138 steps. Too many steps dilute focus and increase tracking complexity.<\/p>\n\n\n\n

            Standardize naming and parameters<\/h3>\n\n\n\n

            Use consistent event names and required properties. This improves Analytics<\/strong> reliability and makes Funnel Report comparisons meaningful over time.<\/p>\n\n\n\n

            Segment thoughtfully<\/h3>\n\n\n\n

            Common segments that uncover real issues:\n– device category and browser\n– traffic source \/ campaign\n– new vs returning users\n– geography and language\n– landing page or product category\nAvoid \u201csegment explosion\u201d without a clear question.<\/p>\n\n\n\n

            Validate and monitor data quality<\/h3>\n\n\n\n
              \n
            • test events before releases <\/li>\n
            • monitor volume anomalies and missing steps <\/li>\n
            • document definitions so Funnel Report logic doesn\u2019t drift across teams<\/li>\n<\/ul>\n\n\n\n

              Pair funnel insights with qualitative evidence<\/h3>\n\n\n\n

              When a step underperforms, confirm the \u201cwhy\u201d with:\n– usability tests\n– customer support logs\n– on-site surveys\n– session recordings (where privacy policies allow)<\/p>\n\n\n\n

              Measure downstream quality<\/h3>\n\n\n\n

              In Conversion & Measurement<\/strong>, connect top-funnel improvements to outcomes like qualified leads, retained users, or revenue\u2014not only step conversion rates.<\/p>\n\n\n\n

              Tools Used for Funnel Report<\/h2>\n\n\n\n

              A Funnel Report is created and operationalized through a stack of systems rather than a single tool. Common tool categories include:<\/p>\n\n\n\n

                \n
              • Analytics tools:<\/strong> Event and session data collection, funnel visualization, segmentation, cohorting, and exploration. <\/li>\n
              • Tag management systems:<\/strong> Deploy and govern tracking tags, reduce engineering bottlenecks, and standardize events for Conversion & Measurement<\/strong>. <\/li>\n
              • Product analytics platforms (for apps\/SaaS):<\/strong> Strong for user-level funnels, activation steps, and feature usage. <\/li>\n
              • CRM systems:<\/strong> Connect funnel completions (leads) to sales stages and revenue to evaluate lead quality. <\/li>\n
              • Marketing automation platforms:<\/strong> Track lifecycle progression (MQL to SQL), nurture performance, and conversion paths. <\/li>\n
              • Data warehouses and BI dashboards:<\/strong> Combine Analytics<\/strong> data with CRM, billing, and support data for full-funnel reporting and governance. <\/li>\n
              • A\/B testing tools:<\/strong> Validate funnel improvements with controlled experiments and step-level lift measurement.<\/li>\n<\/ul>\n\n\n\n

                The goal is not tooling complexity\u2014it\u2019s creating a reliable Funnel Report that teams trust for decisions in Conversion & Measurement<\/strong>.<\/p>\n\n\n\n

                Metrics Related to Funnel Report<\/h2>\n\n\n\n

                A Funnel Report typically includes both step-level and business-level metrics:<\/p>\n\n\n\n

                Funnel performance metrics<\/h3>\n\n\n\n
                  \n
                • Step conversion rate:<\/strong> % moving from step A to step B <\/li>\n
                • Overall funnel conversion rate:<\/strong> % entering the funnel who complete it <\/li>\n
                • Drop-off rate:<\/strong> % who exit at a given step <\/li>\n
                • Time to convert:<\/strong> time between first and final step (or between key steps) <\/li>\n
                • Funnel entry volume:<\/strong> number of users entering step 1<\/li>\n<\/ul>\n\n\n\n

                  Efficiency and ROI metrics<\/h3>\n\n\n\n
                    \n
                  • Cost per funnel entrant<\/strong> and cost per completion<\/strong> (when paired with spend data) <\/li>\n
                  • Revenue per entrant<\/strong> \/ revenue per completion<\/strong> (where applicable) <\/li>\n
                  • Customer acquisition cost (CAC)<\/strong> and payback, informed by funnel efficiency<\/li>\n<\/ul>\n\n\n\n

                    Quality metrics (critical for lead gen and SaaS)<\/h3>\n\n\n\n
                      \n
                    • Lead-to-qualified rate<\/strong> (lead quality downstream) <\/li>\n
                    • Activation rate<\/strong> (signup to \u201caha moment\u201d) <\/li>\n
                    • Retention or repeat purchase<\/strong> (ensures funnel optimization doesn\u2019t create churn)<\/li>\n<\/ul>\n\n\n\n

                      These metrics tie Funnel Report directly to Analytics<\/strong> outcomes that matter in Conversion & Measurement<\/strong>.<\/p>\n\n\n\n

                      Future Trends of Funnel Report<\/h2>\n\n\n\n

                      Funnel Report practices are evolving with changes in platforms, privacy, and automation:<\/p>\n\n\n\n

                        \n
                      • More modeled and aggregated measurement:<\/strong> Privacy constraints and tracking loss push Analytics<\/strong> toward modeled conversions and aggregated reporting, making data quality and triangulation more important. <\/li>\n
                      • AI-assisted insights:<\/strong> Automated anomaly detection, driver analysis, and narrative summaries will reduce time-to-insight\u2014if teams still validate with measurement discipline. <\/li>\n
                      • Personalized funnels:<\/strong> Experiences differ by segment; Funnel Report will increasingly compare personalized paths and dynamic content performance. <\/li>\n
                      • Server-side and first-party measurement growth:<\/strong> More organizations will adopt first-party data approaches to improve reliability in Conversion & Measurement<\/strong>. <\/li>\n
                      • Deeper full-funnel linkage:<\/strong> Expect greater emphasis on connecting top-of-funnel behavior to revenue, margin, retention, and lifetime value\u2014not just form fills.<\/li>\n<\/ul>\n\n\n\n

                        The Funnel Report remains a core artifact, but it will be interpreted alongside experimentation, predictive models, and privacy-aware measurement.<\/p>\n\n\n\n

                        Funnel Report vs Related Terms<\/h2>\n\n\n\n

                        Funnel Report vs Conversion Rate Optimization (CRO)<\/h3>\n\n\n\n

                        A Funnel Report<\/strong> is diagnostic measurement\u2014what\u2019s happening and where. CRO<\/strong> is the practice of improving those outcomes through testing and UX changes. Funnel Report often identifies where to run CRO<\/em>.<\/p>\n\n\n\n

                        Funnel Report vs Customer Journey Map<\/h3>\n\n\n\n

                        A journey map is typically qualitative and conceptual\u2014how users think and feel across touchpoints. A Funnel Report is quantitative Analytics<\/strong>\u2014how users behave in measured steps. The best Conversion & Measurement<\/strong> programs use both: journey maps for hypotheses, funnel data for validation.<\/p>\n\n\n\n

                        Funnel Report vs Attribution Report<\/h3>\n\n\n\n

                        Attribution reports focus on credit assignment<\/em> across channels and touchpoints. A Funnel Report focuses on progression and friction<\/em> through steps. In practice, you may segment a Funnel Report by channel, but it still answers a different question than attribution.<\/p>\n\n\n\n

                        Who Should Learn Funnel Report<\/h2>\n\n\n\n
                          \n
                        • Marketers:<\/strong> To diagnose campaign performance beyond clicks and understand where intent breaks. <\/li>\n
                        • Analysts:<\/strong> To build trusted Analytics<\/strong> views, define measurement logic, and guide prioritization. <\/li>\n
                        • Agencies:<\/strong> To prove impact with step-level improvements and create scalable Conversion & Measurement<\/strong> playbooks. <\/li>\n
                        • Business owners and founders:<\/strong> To pinpoint the highest-leverage growth constraints and invest efficiently. <\/li>\n
                        • Developers and technical teams:<\/strong> To implement reliable tracking, resolve data inconsistencies, and support experimentation.<\/li>\n<\/ul>\n\n\n\n

                          Summary of Funnel Report<\/h2>\n\n\n\n

                          A Funnel Report<\/strong> is an Analytics<\/strong> report that measures how users progress through a defined set of steps toward a goal and where they drop off. It matters because it turns Conversion & Measurement<\/strong> into a focused, step-by-step improvement process rather than a single conversion number. When implemented with clear definitions, reliable tracking, and thoughtful segmentation, Funnel Report helps teams identify friction, prioritize fixes, validate experiments, and connect user behavior to real business outcomes.<\/p>\n\n\n\n

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

                          1) What is a Funnel Report used for?<\/h3>\n\n\n\n

                          A Funnel Report is used to measure step-by-step progression toward a conversion goal and to identify where users abandon the journey, enabling targeted improvements in Conversion & Measurement<\/strong>.<\/p>\n\n\n\n

                          2) How do I choose the right steps for a Funnel Report?<\/h3>\n\n\n\n

                          Choose steps that reflect meaningful intent and progress (e.g., \u201cbegin checkout\u201d rather than \u201cscroll\u201d). Keep steps unambiguous, measurable in Analytics<\/strong>, and tied to decisions you can act on.<\/p>\n\n\n\n

                          3) What\u2019s the difference between a Funnel Report and a pipeline report in a CRM?<\/h3>\n\n\n\n

                          A Funnel Report usually measures user behavior (visits, events, actions) in Analytics<\/strong>. A CRM pipeline report measures sales stages (opportunity created, negotiation, closed won). They complement each other when you connect lead capture to revenue.<\/p>\n\n\n\n

                          4) Can a Funnel Report work for SEO and content marketing?<\/h3>\n\n\n\n

                          Yes. You can build funnels for content journeys such as article view \u2192 engaged reading \u2192 CTA click \u2192 signup. This supports Conversion & Measurement<\/strong> for organic traffic by showing where intent is gained or lost.<\/p>\n\n\n\n

                          5) What should I do when I see a big drop-off in the funnel?<\/h3>\n\n\n\n

                          First validate tracking (ensure the step is recorded correctly). Then segment by device\/source to isolate the issue, review UX or technical errors at that step, and test changes with controlled experiments where possible.<\/p>\n\n\n\n

                          6) How accurate is Funnel Report data in modern Analytics environments?<\/h3>\n\n\n\n

                          Accuracy depends on tracking quality, consent rates, identity resolution, and browser restrictions. Treat Funnel Report as directional unless you\u2019ve validated instrumentation and accounted for known Analytics<\/strong> limitations.<\/p>\n\n\n\n

                          7) How often should teams review Funnel Reports?<\/h3>\n\n\n\n

                          High-traffic funnels are often reviewed weekly; major business funnels (checkout, lead gen, onboarding) should be monitored continuously with alerts for anomalies. The right cadence depends on volume and how fast you ship changes in Conversion & Measurement<\/strong>.<\/p>\n","protected":false},"excerpt":{"rendered":"

                          A **Funnel Report** is an Analytics view that shows how people move through a defined series of steps\u2014such as landing on a page, viewing a product, adding to cart, and completing a purchase\u2014and where they drop off along the way. In **Conversion & Measurement**, it\u2019s one of the most direct ways to translate user behavior into actionable insights: you can see *exactly* which step is limiting growth and how changes to marketing, UX, or tracking impact outcomes.<\/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-6872","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\/6872","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=6872"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/6872\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=6872"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=6872"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=6872"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}