{"id":11233,"date":"2026-04-01T14:35:39","date_gmt":"2026-04-01T14:35:39","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/consent-mode\/"},"modified":"2026-04-01T14:35:39","modified_gmt":"2026-04-01T14:35:39","slug":"consent-mode","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/consent-mode\/","title":{"rendered":"Consent Mode: What It Is, Key Features, Benefits, Use Cases, and How It Fits in SEM \/ Paid Search"},"content":{"rendered":"\n

Consent Mode is a measurement and tag behavior framework that helps organizations respect user privacy choices while still keeping essential performance reporting functional. In Paid Marketing<\/strong>, it\u2019s especially relevant because ad platforms and analytics tools traditionally rely on cookies and device identifiers to attribute conversions, build remarketing audiences, and optimize bidding.<\/p>\n\n\n\n

In SEM \/ Paid Search<\/strong>, where budget decisions are made daily based on conversion data, the loss of tracking due to consent requirements can quickly distort performance signals. Consent Mode<\/strong> helps bridge that gap by adjusting how tags behave based on a user\u2019s consent status and, in some setups, enabling privacy-preserving modeling to recover some measurement utility without ignoring consent.<\/p>\n\n\n\n

What Is Consent Mode?<\/h2>\n\n\n\n

Consent Mode<\/strong> is a platform capability (and broader implementation pattern) that lets your website communicate a visitor\u2019s consent choices to marketing and analytics tags, so those tags can modify data collection behavior accordingly. Instead of a binary \u201ctrack or don\u2019t track\u201d approach, it introduces controlled behavior changes depending on whether consent is granted or denied for specific data purposes.<\/p>\n\n\n\n

At its core, Consent Mode<\/strong> separates two needs that often conflict in Paid Marketing<\/strong>:<\/p>\n\n\n\n

    \n
  • Respecting user privacy and regulatory requirements (consent choices).<\/li>\n
  • Maintaining enough measurement and optimization signal to run profitable campaigns.<\/li>\n<\/ul>\n\n\n\n

    From a business perspective, Consent Mode<\/strong> is about reducing blind spots. In SEM \/ Paid Search<\/strong>, incomplete conversion data can lead to underbidding, wasted spend, or incorrect conclusions about which keywords and ads drive value. Properly implemented Consent Mode<\/strong> helps you preserve decision-quality reporting while honoring consent.<\/p>\n\n\n\n

    Why Consent Mode Matters in Paid Marketing<\/h2>\n\n\n\n

    Paid Marketing<\/strong> performance depends on feedback loops: campaigns generate clicks, clicks generate conversions, and conversions train bidding and targeting systems. If consent choices reduce tracking coverage, those loops weaken.<\/p>\n\n\n\n

    Consent Mode<\/strong> matters because it can:<\/p>\n\n\n\n

      \n
    • Protect measurement continuity<\/strong> when cookie-based tracking is limited.<\/li>\n
    • Improve bidding inputs<\/strong> by enabling more reliable conversion signals (often through aggregated or modeled reporting, depending on the platform and setup).<\/li>\n
    • Reduce reporting bias<\/strong> by minimizing the \u201conly track users who consent\u201d skew, which can overrepresent certain demographics or device types.<\/li>\n
    • Support compliance and trust<\/strong> by honoring user choices consistently across tags and tools\u2014critical for brand reputation in Paid Marketing<\/strong>.<\/li>\n<\/ul>\n\n\n\n

      In competitive SEM \/ Paid Search<\/strong> environments, advertisers who maintain cleaner, privacy-aware measurement often make better budget decisions. That advantage compounds over time because optimization systems learn from more stable inputs.<\/p>\n\n\n\n

      How Consent Mode Works<\/h2>\n\n\n\n

      While implementations differ across ecosystems, Consent Mode<\/strong> typically operates as a coordinated flow between your consent interface, your site tagging, and downstream ad\/analytics platforms.<\/p>\n\n\n\n

      1) Input or trigger: consent choices are collected<\/h3>\n\n\n\n

      A visitor interacts with a consent interface (often a consent banner or preference center). They may accept all, reject all, or choose specific purposes (for example, analytics vs advertising).<\/p>\n\n\n\n

      2) Processing: the site translates choices into consent signals<\/h3>\n\n\n\n

      Your site (commonly via a tag management layer) maps the visitor\u2019s selections into standardized consent states. In many Consent Mode<\/strong> designs, consent is expressed by category (for example, advertising storage vs analytics storage) rather than by individual vendors.<\/p>\n\n\n\n

      3) Execution: tags adapt behavior based on consent state<\/h3>\n\n\n\n

      With Consent Mode<\/strong>, tags don\u2019t necessarily behave the same way for every visitor. Depending on consent:<\/p>\n\n\n\n

        \n
      • Some tags may not write\/read cookies.<\/li>\n
      • Some identifiers may be suppressed.<\/li>\n
      • Some events may be sent in a limited, non-identifying form.<\/li>\n
      • Some features like remarketing may be disabled unless consent is granted.<\/li>\n<\/ul>\n\n\n\n

        4) Output: reporting and optimization adjust<\/h3>\n\n\n\n

        The outcome is improved governance over what data is collected and how it is used. In Paid Marketing<\/strong> and SEM \/ Paid Search<\/strong>, this may also influence:<\/p>\n\n\n\n

          \n
        • Conversion attribution coverage<\/li>\n
        • Audience eligibility (remarketing list sizes)<\/li>\n
        • Automated bidding stability<\/li>\n
        • Reported ROI and funnel metrics<\/li>\n<\/ul>\n\n\n\n

          The key practical point: Consent Mode<\/strong> is not a magic \u201ctrack without consent\u201d switch. It is a control system that helps tags behave appropriately and, where supported, allows privacy-preserving measurement techniques to reduce data loss.<\/p>\n\n\n\n

          Key Components of Consent Mode<\/h2>\n\n\n\n

          A robust Consent Mode<\/strong> setup involves multiple moving parts across marketing, analytics, and engineering.<\/p>\n\n\n\n

          Consent collection and preference management<\/h3>\n\n\n\n

          You need a method to gather user choices and store them appropriately (often via a first-party mechanism). The consent experience should support granular choices, clear language, and easy updates.<\/p>\n\n\n\n

          Tagging and data layer governance<\/h3>\n\n\n\n

          Most implementations use a data layer or equivalent signaling mechanism so all tags receive consistent consent states. In Paid Marketing<\/strong>, this prevents one tool from behaving differently than another due to mismatched logic.<\/p>\n\n\n\n

          Consent categories (purposes)<\/h3>\n\n\n\n

          Consent Mode<\/strong> typically distinguishes between purposes such as analytics measurement and advertising\/remarketing. Some platforms support additional advertising-specific categories, such as whether user data can be used for personalization.<\/p>\n\n\n\n

          Measurement and modeling logic<\/h3>\n\n\n\n

          In SEM \/ Paid Search<\/strong>, measurement may include privacy-preserving modeling to estimate conversions that cannot be directly observed due to denied consent. The availability and accuracy of modeling varies by platform, traffic volume, configuration quality, and data completeness.<\/p>\n\n\n\n

          Team responsibilities and governance<\/h3>\n\n\n\n

          Effective Consent Mode<\/strong> requires clear ownership:\n– Marketing defines measurement needs and campaign dependencies.\n– Analytics ensures reporting integrity and attribution logic.\n– Engineering implements signals reliably and safely.\n– Legal\/privacy reviews consent language and compliance posture.<\/p>\n\n\n\n

          Types of Consent Mode<\/h2>\n\n\n\n

          The term Consent Mode<\/strong> is often discussed in terms of how strictly tags are blocked versus adapted.<\/p>\n\n\n\n

          Basic approach (block until consent)<\/h3>\n\n\n\n

          In a basic configuration, marketing\/analytics tags that require consent do not run until the visitor opts in. This is simple to reason about and minimizes data collection without permission, but it can cause significant data loss in Paid Marketing<\/strong> reporting.<\/p>\n\n\n\n

          Advanced approach (run with restricted behavior until consent)<\/h3>\n\n\n\n

          In an advanced configuration, tags may load but operate in a constrained way when consent is denied\u2014limiting storage and identifiers while still sending minimal measurement signals where allowed. In SEM \/ Paid Search<\/strong>, this can improve the stability of conversion reporting and bidding signals, depending on platform support.<\/p>\n\n\n\n

          Regional or policy-based variants<\/h3>\n\n\n\n

          Some organizations implement Consent Mode<\/strong> differently by geography (for example, stricter defaults in certain regions). This is not a separate \u201ctype\u201d of Consent Mode<\/strong>, but it is a common operational pattern in global Paid Marketing<\/strong> programs.<\/p>\n\n\n\n

          Real-World Examples of Consent Mode<\/h2>\n\n\n\n

          Example 1: Lead generation in SEM \/ Paid Search with conversion gaps<\/h3>\n\n\n\n

          A B2B company runs SEM \/ Paid Search<\/strong> campaigns to drive form submissions. After adding a consent banner, recorded conversions drop sharply even though CRM leads remain steady. Implementing Consent Mode<\/strong> improves the alignment between site-reported conversions and downstream lead volumes by ensuring tags behave consistently and enabling privacy-aware measurement where available. The marketing team can trust CPA trends again and avoid cutting high-performing keywords.<\/p>\n\n\n\n

          Example 2: Ecommerce Paid Marketing with remarketing dependencies<\/h3>\n\n\n\n

          An ecommerce retailer relies on remarketing audiences for Paid Marketing<\/strong> efficiency. Without Consent Mode<\/strong>, tags may still fire inconsistently, causing audience lists to shrink unpredictably. With Consent Mode<\/strong>, the site clearly disables remarketing storage when consent is denied, while allowing compliant measurement signals for non-consenting users. The result is fewer \u201cmystery\u201d discrepancies and cleaner separation between consented remarketing performance and overall acquisition.<\/p>\n\n\n\n

          Example 3: Agency rollout across multiple clients and templates<\/h3>\n\n\n\n

          An agency managing SEM \/ Paid Search<\/strong> for many sites standardizes Consent Mode<\/strong> through a shared tagging blueprint. Each client maps consent categories the same way, and the agency builds a repeatable QA checklist (default consent states, event firing rules, and reporting validation). This reduces setup errors, speeds onboarding, and improves cross-account comparability in Paid Marketing<\/strong> reporting.<\/p>\n\n\n\n

          Benefits of Using Consent Mode<\/h2>\n\n\n\n

          Consent Mode<\/strong> can deliver meaningful operational and performance benefits without compromising user choice.<\/p>\n\n\n\n

            \n
          • More reliable optimization signals:<\/strong> Better conversion signal continuity supports automated bidding and budget allocation in Paid Marketing<\/strong>.<\/li>\n
          • Reduced measurement volatility:<\/strong> Cleaner, consistent tag behavior reduces sudden reporting shifts after policy or banner changes.<\/li>\n
          • Improved decision-making in SEM \/ Paid Search:<\/strong> More stable attribution and conversion counts help teams judge creative, landing pages, and keyword intent accurately.<\/li>\n
          • Better customer experience alignment:<\/strong> A transparent consent system builds trust and reduces the risk of \u201ccreepy\u201d personalization behaviors when consent isn\u2019t granted.<\/li>\n
          • Efficiency gains:<\/strong> Standardized consent signaling reduces time spent debugging why one platform reports differently than another.<\/li>\n<\/ul>\n\n\n\n

            Challenges of Consent Mode<\/h2>\n\n\n\n

            Despite its benefits, Consent Mode<\/strong> introduces real technical and strategic complexity.<\/p>\n\n\n\n

              \n
            • Implementation errors are common:<\/strong> Misordered tag firing, incorrect default states, or inconsistent category mapping can cause broken measurement or accidental data collection.<\/li>\n
            • Reporting won\u2019t match old baselines:<\/strong> Even with Consent Mode<\/strong>, you may not recover pre-consent tracking levels. Modeled or aggregated metrics can differ from user-level attribution.<\/li>\n
            • Audience and remarketing limitations:<\/strong> In SEM \/ Paid Search<\/strong>, remarketing lists can shrink materially if many users decline advertising-related consent.<\/li>\n
            • Cross-domain and checkout complexities:<\/strong> Multi-step funnels, embedded payment flows, and cross-domain tracking require careful consent propagation.<\/li>\n
            • Stakeholder alignment:<\/strong> Legal, marketing, analytics, and engineering may disagree on acceptable defaults, granularity, and measurement trade-offs.<\/li>\n<\/ul>\n\n\n\n

              Best Practices for Consent Mode<\/h2>\n\n\n\n

              Treat Consent Mode as a measurement architecture, not a tag tweak<\/h3>\n\n\n\n

              Document how consent affects conversion tracking, remarketing, attribution windows, and KPI definitions across Paid Marketing<\/strong> channels.<\/p>\n\n\n\n

              Define clear consent categories and map them consistently<\/h3>\n\n\n\n

              Ensure your consent categories align with what your tags actually do. If one tag uses advertising identifiers, it should follow the advertising consent state\u2014no exceptions.<\/p>\n\n\n\n

              Implement sensible defaults and make them auditable<\/h3>\n\n\n\n

              Default consent states should reflect your policy and regional requirements. Log consent state transitions (without collecting prohibited identifiers) so you can audit behavior during troubleshooting.<\/p>\n\n\n\n

              QA with scenario-based testing<\/h3>\n\n\n\n

              Test at least these scenarios:\n– first visit with no interaction yet\n– explicit reject\n– explicit accept\n– granular preferences (analytics allowed, ads denied)\n– returning visitor with saved preferences<\/p>\n\n\n\n

              Validate both tag behavior and reporting outcomes in SEM \/ Paid Search<\/strong> dashboards.<\/p>\n\n\n\n

              Monitor data quality continuously<\/h3>\n\n\n\n

              After deploying Consent Mode<\/strong>, watch for:\n– sudden conversion rate shifts\n– gaps between analytics conversions and backend orders\/leads\n– unusual changes in remarketing list growth\n– changes in attribution path distribution<\/p>\n\n\n\n

              Coordinate with backend and CRM data<\/h3>\n\n\n\n

              In Paid Marketing<\/strong>, reconcile platform conversions with server-side events or CRM outcomes to understand where consent reduces visibility and where modeled reporting may fill gaps.<\/p>\n\n\n\n

              Tools Used for Consent Mode<\/h2>\n\n\n\n

              Consent Mode<\/strong> typically sits at the intersection of privacy tooling and marketing measurement systems. Common tool categories include:<\/p>\n\n\n\n

                \n
              • Consent management tools:<\/strong> Collect and store user preferences, power banners and preference centers, and provide consent logs.<\/li>\n
              • Tag management systems:<\/strong> Centralize tag firing rules and distribute consent states to marketing\/analytics tags.<\/li>\n
              • Analytics tools:<\/strong> Measure sessions and events and reflect consented vs non-consented behavior in reporting.<\/li>\n
              • Ad platforms:<\/strong> Use conversion signals for bidding and attribution in SEM \/ Paid Search<\/strong> and broader Paid Marketing<\/strong>.<\/li>\n
              • Server-side tagging or event gateways:<\/strong> Help control data flow, reduce client-side dependency, and enforce consent-aware data handling.<\/li>\n
              • CRM and marketing automation:<\/strong> Provide ground-truth outcomes (qualified leads, revenue) to validate measurement and calibrate optimization.<\/li>\n
              • Reporting dashboards and BI:<\/strong> Combine consent rates, conversion trends, and spend data to detect issues quickly.<\/li>\n<\/ul>\n\n\n\n

                Metrics Related to Consent Mode<\/h2>\n\n\n\n

                To manage Consent Mode<\/strong> effectively, track both privacy metrics and marketing performance metrics.<\/p>\n\n\n\n

                Consent and coverage metrics<\/h3>\n\n\n\n
                  \n
                • Consent rate (overall and by region\/device):<\/strong> Percent of users granting analytics and\/or advertising consent.<\/li>\n
                • Event coverage rate:<\/strong> Share of key events (page views, purchases, leads) recorded with full identifiers versus restricted signals.<\/li>\n
                • Audience eligibility:<\/strong> Growth rate and size of remarketing audiences compared with historical baselines.<\/li>\n<\/ul>\n\n\n\n

                  SEM \/ Paid Search performance metrics<\/h3>\n\n\n\n
                    \n
                  • Reported conversions vs modeled\/estimated conversions:<\/strong> Understand what is directly observed versus inferred (where applicable).<\/li>\n
                  • CPA \/ ROAS trends:<\/strong> Watch for shifts that reflect measurement changes rather than true performance changes.<\/li>\n
                  • Conversion rate by landing page:<\/strong> Identify pages where consent prompts reduce measurable conversions.<\/li>\n
                  • Attribution mix:<\/strong> Changes in last-click vs data-driven\/algorithmic attribution outputs can indicate consent-related signal loss.<\/li>\n<\/ul>\n\n\n\n

                    Business validation metrics<\/h3>\n\n\n\n
                      \n
                    • Backend orders\/leads:<\/strong> Compare site\/platform conversions to confirmed outcomes.<\/li>\n
                    • Lead quality and revenue per lead:<\/strong> Ensure optimization doesn\u2019t drift toward low-quality conversions because measurement is incomplete.<\/li>\n<\/ul>\n\n\n\n

                      Future Trends of Consent Mode<\/h2>\n\n\n\n

                      Consent Mode<\/strong> is evolving alongside privacy regulation, browser changes, and AI-driven optimization.<\/p>\n\n\n\n

                        \n
                      • More modeling and automation:<\/strong> As direct identifiers become less available, platforms will lean further on aggregated measurement and modeled conversions, especially in Paid Marketing<\/strong>.<\/li>\n
                      • Server-side measurement maturity:<\/strong> More teams will adopt server-side event routing to improve control, resilience, and consent enforcement.<\/li>\n
                      • First-party data strategy becomes mandatory:<\/strong> CRM integrations, offline conversion imports, and durable first-party identifiers (collected with permission) will be central to SEM \/ Paid Search<\/strong> optimization.<\/li>\n
                      • Finer-grained consent experiences:<\/strong> Preference centers will move beyond \u201caccept\/reject\u201d to clearer purpose-based controls, making precise Consent Mode<\/strong> mapping more important.<\/li>\n
                      • AI and personalization constraints:<\/strong> AI-driven personalization will increasingly depend on consented data; Consent Mode<\/strong> will act as the gatekeeper that determines what personalization is allowed.<\/li>\n<\/ul>\n\n\n\n

                        Consent Mode vs Related Terms<\/h2>\n\n\n\n

                        Consent Mode vs cookie consent<\/h3>\n\n\n\n

                        Cookie consent is the user-facing choice and legal permission layer (often expressed through a banner). Consent Mode<\/strong> is the technical mechanism that makes tags and measurement systems respond correctly to those choices. Cookie consent tells you what the user decided<\/em>; Consent Mode<\/strong> helps enforce what your tags do next<\/em>.<\/p>\n\n\n\n

                        Consent Mode vs a Consent Management Platform (CMP)<\/h3>\n\n\n\n

                        A CMP is the system used to collect, store, and manage preferences. Consent Mode<\/strong> is the signaling and behavior framework used by tags and platforms. In practice, many organizations use a CMP to gather consent and then implement Consent Mode<\/strong> to operationalize it across Paid Marketing<\/strong> and analytics tooling.<\/p>\n\n\n\n

                        Consent Mode vs conversion modeling<\/h3>\n\n\n\n

                        Conversion modeling is a measurement technique that estimates conversions when direct observation is not possible. Consent Mode<\/strong> can enable or improve modeling by providing structured consent states and consistent tag behavior. Modeling is an outcome or method; Consent Mode<\/strong> is part of the configuration that can make privacy-aware measurement feasible in SEM \/ Paid Search<\/strong>.<\/p>\n\n\n\n

                        Who Should Learn Consent Mode<\/h2>\n\n\n\n
                          \n
                        • Marketers:<\/strong> To understand why conversion counts change, how bidding learns, and how to interpret performance shifts in Paid Marketing<\/strong>.<\/li>\n
                        • Analysts:<\/strong> To maintain clean reporting, reconcile modeled vs observed outcomes, and build trustworthy KPI frameworks for SEM \/ Paid Search<\/strong>.<\/li>\n
                        • Agencies:<\/strong> To standardize implementations, reduce onboarding time, and avoid account-level performance misreads across clients.<\/li>\n
                        • Business owners and founders:<\/strong> To connect consent changes to revenue reporting, forecasting, and budget allocation decisions.<\/li>\n
                        • Developers:<\/strong> To implement consent signaling correctly, prevent data leakage, and ensure site performance and tag execution remain stable.<\/li>\n<\/ul>\n\n\n\n

                          Summary of Consent Mode<\/h2>\n\n\n\n

                          Consent Mode<\/strong> is a consent-aware tagging and measurement framework that adjusts how marketing and analytics tags behave based on user preferences. It matters because modern privacy requirements can reduce tracking coverage, weakening optimization and reporting in Paid Marketing<\/strong>. When implemented thoughtfully, Consent Mode<\/strong> supports more consistent measurement and better decision-making in SEM \/ Paid Search<\/strong> while respecting user choice and strengthening governance across teams and tools.<\/p>\n\n\n\n

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

                          1) What is Consent Mode and does it track users without permission?<\/h3>\n\n\n\n

                          Consent Mode<\/strong> is designed to respect user choices by changing tag behavior based on consent states. It is not a workaround to collect the same data without permission; it is a control system that limits storage\/identifiers when consent is denied and enables compliant measurement approaches where supported.<\/p>\n\n\n\n

                          2) How does Consent Mode impact SEM \/ Paid Search conversion tracking?<\/h3>\n\n\n\n

                          In SEM \/ Paid Search<\/strong>, denied consent can reduce directly observed conversions, affecting reporting and automated bidding. Consent Mode<\/strong> helps ensure tags behave consistently and may support privacy-preserving conversion measurement so performance signals are less volatile.<\/p>\n\n\n\n

                          3) Do I still need a consent banner or preference center?<\/h3>\n\n\n\n

                          Yes. Consent Mode<\/strong> operationalizes consent decisions, but you still need a compliant method to collect and manage those decisions. Most organizations pair Consent Mode<\/strong> with a consent management interface and clear privacy disclosures.<\/p>\n\n\n\n

                          4) What\u2019s the difference between basic and advanced Consent Mode setups?<\/h3>\n\n\n\n

                          A basic setup typically blocks certain tags until consent is granted. An advanced setup allows tags to load but restricts behavior (such as storage and identifiers) until consent is granted. The best choice depends on your compliance requirements, risk tolerance, and Paid Marketing<\/strong> measurement needs.<\/p>\n\n\n\n

                          5) Will Consent Mode restore my old conversion numbers?<\/h3>\n\n\n\n

                          Not necessarily. Some loss of observable data is normal when users decline consent. The goal of Consent Mode<\/strong> is to improve consistency and enable privacy-aware measurement, not to recreate pre-consent tracking exactly.<\/p>\n\n\n\n

                          6) How can I tell if Consent Mode is implemented correctly?<\/h3>\n\n\n\n

                          Validate consent states across scenarios (accept, reject, granular choices), confirm tags change behavior as intended, and compare Paid Marketing<\/strong> conversions against backend outcomes. Also monitor remarketing audience growth and conversion rate stability after deployment.<\/p>\n\n\n\n

                          7) Can Consent Mode improve ROAS in Paid Marketing?<\/h3>\n\n\n\n

                          Indirectly, yes. By stabilizing conversion signals and improving measurement integrity, Consent Mode<\/strong> can help bidding and budget allocation work more effectively. The biggest gains usually come from fewer optimization errors and better interpretation of SEM \/ Paid Search<\/strong> performance\u2014not from \u201cmore tracking.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"

                          Consent Mode is a measurement and tag behavior framework that helps organizations respect user privacy choices while still keeping essential performance reporting functional. In **Paid Marketing**, it\u2019s especially relevant because ad platforms and analytics tools traditionally rely on cookies and device identifiers to attribute conversions, build remarketing audiences, and optimize bidding.<\/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":[1913],"tags":[],"class_list":["post-11233","post","type-post","status-publish","format-standard","hentry","category-sem-paid-search"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/11233","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=11233"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/11233\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=11233"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=11233"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=11233"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}