{"id":7295,"date":"2026-03-24T07:25:21","date_gmt":"2026-03-24T07:25:21","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/fbclid\/"},"modified":"2026-03-24T07:25:21","modified_gmt":"2026-03-24T07:25:21","slug":"fbclid","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/fbclid\/","title":{"rendered":"Fbclid: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Tracking"},"content":{"rendered":"\n

If you\u2019ve ever clicked a link from Facebook or Instagram and noticed a long query parameter added to the destination URL, you\u2019ve likely encountered Fbclid<\/strong>. In practical Conversion & Measurement<\/strong> work, Fbclid is a common (and sometimes confusing) artifact of modern Tracking<\/strong>\u2014it appears in landing page URLs, analytics reports, and occasionally in SEO or data quality audits.<\/p>\n\n\n\n

Understanding Fbclid matters because it sits at the intersection of ad attribution, on-site measurement, and data governance. If you mis-handle it, you can inflate page counts, fragment attribution, or create messy campaign reporting. If you handle it well, you maintain clean analytics, preserve accurate Conversion & Measurement<\/strong>, and avoid unnecessary Tracking<\/strong> side effects.<\/p>\n\n\n\n

1) What Is Fbclid?<\/h2>\n\n\n\n

Fbclid<\/strong> is a click identifier parameter that Meta\u2019s apps and platforms may append to outbound links when someone clicks from Facebook or Instagram to your website. It typically appears in the URL as a query string (for example, as fbclid=...<\/code>).<\/p>\n\n\n\n

At its core, Fbclid is designed to help Meta associate a specific click event with downstream activity, supporting advertising attribution and measurement. From a business perspective, Fbclid is part of how platforms try to connect \u201cad interaction\u201d to \u201csite behavior\u201d so marketers can evaluate performance and optimize spend.<\/p>\n\n\n\n

In Conversion & Measurement<\/strong>, Fbclid shows up as incoming traffic metadata. In Tracking<\/strong>, it behaves like a parameterized identifier that can influence session attribution, landing page reporting, and how your systems store or deduplicate page URLs.<\/p>\n\n\n\n

2) Why Fbclid Matters in Conversion & Measurement<\/h2>\n\n\n\n

Fbclid matters because it can affect both platform-side and site-side measurement:<\/p>\n\n\n\n

    \n
  • Attribution clarity:<\/strong> When properly interpreted, click identifiers contribute to more reliable attribution modeling and conversion reporting within ad platforms\u2014an important part of Conversion & Measurement<\/strong> maturity.<\/li>\n
  • Analytics hygiene:<\/strong> If your analytics tool treats each unique URL as a different page, Fbclid can create reporting noise (multiple versions of the same page), which complicates Tracking<\/strong> analysis.<\/li>\n
  • Channel performance decisions:<\/strong> If Fbclid-driven traffic is misclassified or fragmented, you might over- or under-estimate the impact of paid social versus organic social.<\/li>\n
  • Operational efficiency:<\/strong> Clean handling reduces time spent debugging \u201cwhy did sessions spike on \/pricing?fbclid=\u2026\u201d and supports faster, more confident optimization.<\/li>\n<\/ul>\n\n\n\n

    Teams that manage Fbclid intentionally tend to produce more stable reporting, better experimentation outcomes, and fewer surprises in Conversion & Measurement<\/strong> reviews.<\/p>\n\n\n\n

    3) How Fbclid Works<\/h2>\n\n\n\n

    Fbclid is best understood as a practical workflow that starts with a click and ends with measurable events:<\/p>\n\n\n\n

      \n
    1. Input \/ Trigger (the click):<\/strong> A user clicks a link inside Meta\u2019s environment (Facebook, Instagram, or related in-app browsers).<\/li>\n
    2. Processing (parameter injection):<\/strong> The platform may append Fbclid<\/strong> to the destination URL as the user is redirected to your site.<\/li>\n
    3. Execution (site + analytics capture):<\/strong> Your website, tag manager, pixel, and analytics stack record the landing page URL. If you store full URLs in logs, CRM forms, or analytics dimensions, Fbclid may be captured as part of that data.<\/li>\n
    4. Output \/ Outcome (measurement impact):<\/strong>\n – On the platform side, identifiers can support attribution and optimization.\n – On your side, Fbclid can influence Tracking<\/strong> reports (landing pages, pageviews, sessions) and downstream systems (CRM lead source, data warehouse tables, BI dashboards).<\/li>\n<\/ol>\n\n\n\n

      The key takeaway: Fbclid is not a \u201ccampaign strategy.\u201d It\u2019s a Tracking<\/strong> detail that can either help (platform attribution) or hurt (messy URLs) depending on your measurement design.<\/p>\n\n\n\n

      4) Key Components of Fbclid<\/h2>\n\n\n\n

      While Fbclid itself is \u201cjust a parameter,\u201d it interacts with a broader measurement ecosystem:<\/p>\n\n\n\n

      Data inputs<\/h3>\n\n\n\n
        \n
      • Landing page URL parameters<\/strong> captured by analytics and server logs<\/li>\n
      • Referrer and channel signals<\/strong> (e.g., social vs paid social)<\/li>\n
      • Consent state<\/strong> (what you\u2019re allowed to measure and store)<\/li>\n<\/ul>\n\n\n\n

        Systems involved<\/h3>\n\n\n\n
          \n
        • Ad platforms<\/strong> that generate and interpret click identifiers<\/li>\n
        • Website analytics<\/strong> that record landing pages and sessions<\/li>\n
        • Tag management<\/strong> that can read, transform, or suppress parameters<\/li>\n
        • Server-side endpoints<\/strong> that may receive event payloads for conversion measurement<\/li>\n
        • CRM \/ forms<\/strong> that may store the full landing page URL submitted by leads<\/li>\n<\/ul>\n\n\n\n

          Processes and governance<\/h3>\n\n\n\n
            \n
          • Measurement specifications:<\/strong> defining what parameters you keep, ignore, or normalize<\/li>\n
          • Data QA routines:<\/strong> checking URL cleanliness, attribution consistency, and duplication<\/li>\n
          • Privacy and retention policies:<\/strong> controlling how long click identifiers are stored and where<\/li>\n<\/ul>\n\n\n\n

            This is where Conversion & Measurement<\/strong> meets day-to-day Tracking<\/strong> operations.<\/p>\n\n\n\n

            5) Types of Fbclid (Practical Distinctions)<\/h2>\n\n\n\n

            Fbclid doesn\u2019t have official \u201ctypes\u201d in the way attribution models do, but there are important contexts and related identifiers worth distinguishing:<\/p>\n\n\n\n

            Fbclid in paid vs organic contexts<\/h3>\n\n\n\n
              \n
            • Paid social clicks:<\/strong> Often include UTM parameters you set (campaign\/source\/medium), and may also include Fbclid<\/strong> automatically.<\/li>\n
            • Organic social clicks:<\/strong> Can also carry Fbclid if the click happens in environments that append it, even when you didn\u2019t run an ad.<\/li>\n<\/ul>\n\n\n\n

              URL-level identifier vs cookie-level identifiers<\/h3>\n\n\n\n

              In many implementations, click information can be stored in cookies for later conversion matching. Fbclid is URL-based. Some stacks also use cookie-based identifiers (set by pixels) that represent click context. For Conversion & Measurement<\/strong>, it\u2019s useful to understand that the URL parameter is not the only place click identity can live.<\/p>\n\n\n\n

              First-hit capture vs long-tail propagation<\/h3>\n\n\n\n

              If your site copies the full URL into internal links, or your marketing automation stores \u201cfirst landing page URL\u201d with parameters, Fbclid can propagate far beyond the first visit. That\u2019s not inherently wrong, but it can create Tracking<\/strong> clutter if not controlled.<\/p>\n\n\n\n

              6) Real-World Examples of Fbclid<\/h2>\n\n\n\n

              Example 1: Ecommerce paid social campaign attribution<\/h3>\n\n\n\n

              An ecommerce brand runs prospecting ads and uses UTMs for campaign naming. Many landing sessions arrive with both UTMs and Fbclid<\/strong>. In Conversion & Measurement<\/strong>, the team relies on UTMs for cross-channel reporting and on platform reporting for ad optimization. They configure analytics to ignore Fbclid in landing page reports to prevent duplicate URLs while keeping UTMs intact for Tracking<\/strong> attribution.<\/p>\n\n\n\n

              Example 2: B2B lead forms and CRM source pollution<\/h3>\n\n\n\n

              A SaaS company captures \u201cLanding Page URL\u201d in its demo request form. Leads coming from social have the full URL stored, including Fbclid<\/strong>. Sales ops later sees thousands of \u201cdifferent\u201d landing pages that are actually the same page with different parameters. The fix: store a normalized URL without Fbclid in the CRM while keeping original raw data in a controlled analytics table. This improves Conversion & Measurement<\/strong> reporting and simplifies funnel analysis.<\/p>\n\n\n\n

              Example 3: Publisher SEO and duplicate URL discovery<\/h3>\n\n\n\n

              A publisher notices new parameterized URLs being crawled and occasionally indexed, diluting signals across duplicates. The cause is frequent social sharing that includes Fbclid<\/strong>. They address it using canonicalization and parameter handling rules, protecting organic performance while keeping Tracking<\/strong> functional for social traffic.<\/p>\n\n\n\n

              7) Benefits of Using Fbclid (When Managed Correctly)<\/h2>\n\n\n\n

              Although many teams think of Fbclid as \u201cnoise,\u201d it can provide real value in the right context:<\/p>\n\n\n\n

                \n
              • Improved ad optimization:<\/strong> Click identifiers can support better platform-side learning and conversion matching, strengthening Conversion & Measurement<\/strong> for paid social.<\/li>\n
              • More consistent attribution inside the ad ecosystem:<\/strong> It can help link an ad click to downstream events when other signals are limited.<\/li>\n
              • Fewer blind spots in measurement:<\/strong> When paired with a solid event strategy, you can reduce undercounting and better understand social-driven conversions.<\/li>\n
              • Operational clarity:<\/strong> When you know what Fbclid is (and what it is not), your team spends less time chasing false anomalies in Tracking<\/strong> reports.<\/li>\n<\/ul>\n\n\n\n

                The benefit is rarely \u201cthe parameter itself,\u201d but rather how it fits into a coherent Conversion & Measurement<\/strong> design.<\/p>\n\n\n\n

                8) Challenges of Fbclid<\/h2>\n\n\n\n

                Fbclid also introduces common pitfalls:<\/p>\n\n\n\n

                Analytics and reporting fragmentation<\/h3>\n\n\n\n

                If your analytics platform reports pages by full URL, Fbclid can create many unique variants of the same landing page. This can distort:\n– Top landing pages\n– Content performance\n– Entry\/exit analysis\n– Conversion rate by page<\/p>\n\n\n\n

                Attribution confusion across systems<\/h3>\n\n\n\n

                Your ad platform might attribute conversions one way, while your analytics tool (using UTMs or referrer logic) attributes them another way. Fbclid can be misinterpreted as a \u201ccampaign parameter,\u201d which it isn\u2019t. This mismatch is a frequent Conversion & Measurement<\/strong> troubleshooting theme.<\/p>\n\n\n\n

                SEO and crawl inefficiency risk<\/h3>\n\n\n\n

                Parameterized URLs can lead to duplicate content discovery if not controlled with canonical and parameter rules. While many sites are fine, high-scale sites should treat this as an ongoing technical SEO and Tracking<\/strong> governance topic.<\/p>\n\n\n\n

                Privacy and data governance considerations<\/h3>\n\n\n\n

                Click identifiers can be considered personal data or pseudonymous identifiers in some contexts, depending on how you store and combine them. Your approach should align with consent, retention, and access controls\u2014especially in regulated environments.<\/p>\n\n\n\n

                9) Best Practices for Fbclid<\/h2>\n\n\n\n

                Use these practices to keep Tracking<\/strong> clean without undermining Conversion & Measurement<\/strong>:<\/p>\n\n\n\n

                Keep UTMs as your primary cross-channel labeling method<\/h3>\n\n\n\n

                UTMs are designed for marketer-controlled campaign naming. Don\u2019t replace UTMs with Fbclid. If you run paid social, use consistent UTM conventions so analytics and BI stay readable.<\/p>\n\n\n\n

                Normalize landing page reporting<\/h3>\n\n\n\n

                Common approaches include:\n– Configure analytics to exclude Fbclid<\/strong> from page URL reporting (parameter exclusion).\n– Store both raw<\/strong> and clean<\/strong> landing page fields (raw for audit\/debug; clean for reporting).<\/p>\n\n\n\n

                Prevent internal propagation<\/h3>\n\n\n\n

                Ensure your site doesn\u2019t copy the full parameterized URL into internal links, email captures, or redirects unless necessary. Keep Fbclid at the entry point, not everywhere.<\/p>\n\n\n\n

                Protect SEO with canonicalization and parameter handling<\/h3>\n\n\n\n

                Use canonical URLs that point to the clean version of the page and adopt parameter governance so crawlers don\u2019t treat every Fbclid variant as unique content.<\/p>\n\n\n\n

                Document your measurement decisions<\/h3>\n\n\n\n

                Add Fbclid handling to your measurement spec:\n– What you store (raw vs normalized)\n– Where it\u2019s allowed (analytics vs CRM vs logs)\n– How long you retain it\nThis reduces confusion across marketing, analytics, and engineering.<\/p>\n\n\n\n

                Validate end-to-end conversion measurement<\/h3>\n\n\n\n

                If you rely on platform-side attribution, ensure your event instrumentation is accurate (purchase\/lead events, deduplication, consent handling). Fbclid alone does not fix weak instrumentation; it only interacts with it.<\/p>\n\n\n\n

                10) Tools Used for Fbclid<\/h2>\n\n\n\n

                Fbclid isn\u2019t a tool\u2014it\u2019s a Tracking<\/strong> input. But several tool categories are commonly involved in managing it within Conversion & Measurement<\/strong>:<\/p>\n\n\n\n

                  \n
                • Web analytics tools:<\/strong> to exclude parameters from reports, build clean landing page dimensions, and analyze channel performance.<\/li>\n
                • Tag management systems:<\/strong> to read URL parameters, pass values to event payloads when appropriate, or suppress unnecessary parameter capture.<\/li>\n
                • Ad platforms and event managers:<\/strong> to configure conversion events, troubleshoot attribution, and validate signal quality.<\/li>\n
                • Server-side measurement pipelines:<\/strong> to receive events, apply normalization, and store both raw and curated datasets.<\/li>\n
                • CRM and marketing automation:<\/strong> to control how landing pages and sources are stored on lead records.<\/li>\n
                • Reporting dashboards \/ BI:<\/strong> to standardize definitions (e.g., \u201cLanding Page (Clean)\u201d) for stakeholders.<\/li>\n<\/ul>\n\n\n\n

                  A mature stack treats Fbclid as one variable in a governed Conversion & Measurement<\/strong> system, not as an ad-hoc anomaly.<\/p>\n\n\n\n

                  11) Metrics Related to Fbclid<\/h2>\n\n\n\n

                  You typically don\u2019t optimize \u201cFbclid performance\u201d directly, but these metrics are commonly impacted by how you handle it in Tracking<\/strong>:<\/p>\n\n\n\n

                    \n
                  • Landing page sessions (clean vs raw):<\/strong> difference indicates URL fragmentation.<\/li>\n
                  • Conversion rate by landing page:<\/strong> improves when duplicates are consolidated.<\/li>\n
                  • Paid social ROAS \/ CPA:<\/strong> platform-side outcomes that may benefit from stronger event matching and measurement integrity.<\/li>\n
                  • Attribution consistency rate:<\/strong> how often channel\/source matches between analytics and internal reporting (a useful internal KPI for Conversion & Measurement<\/strong> quality).<\/li>\n
                  • Data quality indicators:<\/strong> percentage of leads with normalized landing pages, duplicate page rows in dashboards, or parameter frequency over time.<\/li>\n<\/ul>\n\n\n\n

                    If you want one practical diagnostic: measure how many unique landing page URLs you have with and without Fbclid. A large gap signals a Tracking<\/strong> hygiene problem.<\/p>\n\n\n\n

                    12) Future Trends of Fbclid<\/h2>\n\n\n\n

                    Several trends will shape how Fbclid is used and managed:<\/p>\n\n\n\n

                      \n
                    • Privacy-driven measurement changes:<\/strong> As browsers and regulations limit third-party tracking and reduce identifier availability, platforms will continue evolving click and event identifiers. Fbclid may remain relevant, but the surrounding measurement methods will keep changing.<\/li>\n
                    • More server-side and modeled measurement:<\/strong> Conversion & Measurement<\/strong> is shifting toward server-side event collection, consent-aware processing, and modeled attribution. Fbclid may be captured as one signal among many rather than a primary key.<\/li>\n
                    • Automation in data normalization:<\/strong> More teams will automate URL cleaning, parameter governance, and reporting layers so Tracking<\/strong> remains stable even as platforms append new parameters.<\/li>\n
                    • Greater focus on measurement governance:<\/strong> Organizations will formalize \u201cwhat we store and why,\u201d including click identifiers, to reduce risk and improve reliability.<\/li>\n<\/ul>\n\n\n\n

                      The direction is clear: Fbclid will continue to appear, but high-performing teams will treat it as a managed input within a broader Conversion & Measurement<\/strong> framework.<\/p>\n\n\n\n

                      13) Fbclid vs Related Terms<\/h2>\n\n\n\n

                      Fbclid vs UTM parameters<\/h3>\n\n\n\n
                        \n
                      • UTMs<\/strong> are marketer-defined tags used for consistent campaign labeling across channels.<\/li>\n
                      • Fbclid<\/strong> is platform-generated and primarily supports platform-side click identification.\nIn Tracking<\/strong>, UTMs are your structured taxonomy; Fbclid is an environmental artifact you typically normalize or ignore in page reporting.<\/li>\n<\/ul>\n\n\n\n

                        Fbclid vs gclid (Google Click Identifier)<\/h3>\n\n\n\n
                          \n
                        • Both are click identifiers appended to URLs by ad ecosystems.<\/li>\n
                        • They differ by platform and measurement pipelines.\nThe operational lesson is similar: manage click IDs carefully to avoid polluted URLs while preserving Conversion & Measurement<\/strong> accuracy.<\/li>\n<\/ul>\n\n\n\n

                          Fbclid vs referrer data<\/h3>\n\n\n\n
                            \n
                          • Referrer<\/strong> indicates where traffic came from (when available).<\/li>\n
                          • Fbclid<\/strong> is an explicit parameter that may appear even when referrer information is limited or inconsistent (for example, in some in-app browser scenarios).\nFor robust Tracking<\/strong>, use multiple signals\u2014referrer, UTMs, and event instrumentation\u2014rather than relying on any single field.<\/li>\n<\/ul>\n\n\n\n

                            14) Who Should Learn Fbclid<\/h2>\n\n\n\n
                              \n
                            • Marketers:<\/strong> to understand why landing page reports get messy and how to preserve trustworthy Conversion & Measurement<\/strong> without breaking campaigns.<\/li>\n
                            • Analysts:<\/strong> to normalize data, reduce attribution confusion, and build clean reporting dimensions.<\/li>\n
                            • Agencies:<\/strong> to troubleshoot client analytics, align paid social reporting with site analytics, and create scalable Tracking<\/strong> standards.<\/li>\n
                            • Business owners and founders:<\/strong> to interpret performance reports confidently and avoid false conclusions about channel ROI.<\/li>\n
                            • Developers:<\/strong> to implement canonicalization, parameter handling, server-side event flows, and data pipelines that keep Fbclid from causing downstream issues.<\/li>\n<\/ul>\n\n\n\n

                              Fbclid is a small detail with outsized consequences when your organization cares about reliable Tracking<\/strong>.<\/p>\n\n\n\n

                              15) Summary of Fbclid<\/h2>\n\n\n\n

                              Fbclid<\/strong> is a platform-generated click identifier parameter that may be appended to URLs when users click from Meta properties to your site. In Conversion & Measurement<\/strong>, it influences how clicks and conversions are associated, especially in paid social ecosystems. In Tracking<\/strong>, it can create messy URLs, duplicate page reporting, and CRM source pollution if you store it indiscriminately.<\/p>\n\n\n\n

                              The best approach is usually to keep your campaign labeling driven by UTMs, normalize Fbclid out of landing page reporting, and document how you capture and retain it\u2014so measurement stays accurate, readable, and scalable.<\/p>\n\n\n\n

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

                              1) What does Fbclid mean and why is it on my URLs?<\/h3>\n\n\n\n

                              Fbclid<\/strong> is a click identifier parameter that may be added when someone clicks a link from Facebook or Instagram. It\u2019s used to support platform-side attribution and measurement, and it appears in your URL because it\u2019s appended during the click-through process.<\/p>\n\n\n\n

                              2) Should I remove Fbclid from my website URLs?<\/h3>\n\n\n\n

                              For most sites, you should avoid using it in reporting and stored \u201cclean URL\u201d fields<\/strong>, but you don\u2019t necessarily need to block it at the edge. Common practice is to exclude it in analytics page reporting and enforce canonical URLs so it doesn\u2019t create duplicates.<\/p>\n\n\n\n

                              3) Can Fbclid hurt SEO?<\/h3>\n\n\n\n

                              It can, indirectly, if parameterized URLs get crawled or indexed as duplicates. Strong canonicalization and parameter governance typically prevent issues, while keeping Tracking<\/strong> and social traffic intact.<\/p>\n\n\n\n

                              4) Does Fbclid replace UTM parameters?<\/h3>\n\n\n\n

                              No. UTMs are for consistent campaign labeling across channels. Fbclid is platform-generated and not a substitute for your UTM taxonomy in Conversion & Measurement<\/strong> reporting.<\/p>\n\n\n\n

                              5) How do I stop Fbclid from polluting my analytics reports?<\/h3>\n\n\n\n

                              Use parameter exclusion or URL normalization so landing pages are reported without Fbclid. Also ensure internal links don\u2019t propagate it, and store a clean landing page value in downstream systems like CRM.<\/p>\n\n\n\n

                              6) What\u2019s the relationship between Fbclid and Tracking attribution?<\/h3>\n\n\n\n

                              Fbclid can help platforms connect clicks to conversions, but your own Tracking<\/strong> attribution should still rely on a clear measurement design (UTMs, referrers, event instrumentation, and governance). Treat Fbclid as an input signal\u2014not your core attribution method.<\/p>\n\n\n\n

                              7) Should I store Fbclid in my CRM or data warehouse?<\/h3>\n\n\n\n

                              Only if you have a defined use case and governance (consent, retention, access). A common pattern is to store raw URLs (including Fbclid) in restricted analytics storage for debugging, while using normalized fields for everyday Conversion & Measurement<\/strong> reporting.<\/p>\n","protected":false},"excerpt":{"rendered":"

                              If you\u2019ve ever clicked a link from Facebook or Instagram and noticed a long query parameter added to the destination URL, you\u2019ve likely encountered **Fbclid**. In practical **Conversion & Measurement** work, Fbclid is a common (and sometimes confusing) artifact of modern **Tracking**\u2014it appears in landing page URLs, analytics reports, and occasionally in SEO or data quality audits.<\/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":[1890],"tags":[],"class_list":["post-7295","post","type-post","status-publish","format-standard","hentry","category-tracking"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/7295","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=7295"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/7295\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=7295"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=7295"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=7295"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}