{"id":7347,"date":"2026-03-24T09:26:28","date_gmt":"2026-03-24T09:26:28","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/third-party-cookie\/"},"modified":"2026-03-24T09:26:28","modified_gmt":"2026-03-24T09:26:28","slug":"third-party-cookie","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/third-party-cookie\/","title":{"rendered":"Third-party Cookie: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Tracking"},"content":{"rendered":"\n

A Third-party Cookie<\/strong> is a browser cookie set by a domain other than the site a person is currently visiting. In Conversion & Measurement<\/strong>, it has historically powered cross-site Tracking<\/strong> for advertising, frequency capping, retargeting, and attribution. When an ad tech or analytics provider can recognize a browser across many websites, it can connect ad exposure to later actions\u2014like sign-ups, purchases, or leads.<\/p>\n\n\n\n

This matters because modern Conversion & Measurement<\/strong> strategies are being redesigned around privacy expectations and browser restrictions. As third-party cookies become less available, teams must understand what a Third-party Cookie<\/strong> enabled, where it fails today, and which measurement approaches can replace or reduce dependency on it without losing decision-quality insights.<\/p>\n\n\n\n

What Is Third-party Cookie?<\/h2>\n\n\n\n

A Third-party Cookie<\/strong> is a small piece of data stored in the browser by a \u201cthird party\u201d (for example, an ad network, measurement vendor, or social platform) while the user is visiting a different \u201cfirst-party\u201d website. The core concept is identity and continuity: the cookie provides a pseudonymous identifier that lets the third party recognize the same browser later on other sites where that third party is also present.<\/p>\n\n\n\n

From a business perspective, the Third-party Cookie<\/strong> has been a backbone for paid media optimization and performance reporting. It helped marketers understand which campaigns contributed to conversions, how often people saw ads, and whether retargeting was working.<\/p>\n\n\n\n

In Conversion & Measurement<\/strong>, third-party cookies typically sit in the middle of the data flow between ad exposure and on-site conversion events. They are not the conversion event itself; instead, they are one of the mechanisms that made cross-site Tracking<\/strong> and attribution possible at scale.<\/p>\n\n\n\n

Why Third-party Cookie Matters in Conversion & Measurement<\/h2>\n\n\n\n

Even if you plan to minimize reliance on it, the Third-party Cookie<\/strong> still matters because it explains why many reporting dashboards and optimization loops were built the way they were. Understanding its role clarifies what changes when signal quality drops.<\/p>\n\n\n\n

Key reasons it has been strategically important for Conversion & Measurement<\/strong> include:<\/p>\n\n\n\n

    \n
  • Attribution visibility across sites:<\/strong> It supported linking ad impressions\/clicks to later site actions, improving how teams interpret incremental impact.<\/li>\n
  • Audience building and retargeting:<\/strong> It enabled creating segments based on browsing behavior across multiple publishers and then activating those segments in ad buying.<\/li>\n
  • Frequency management:<\/strong> Repeated exposure can waste budget or harm brand perception; third-party cookies supported frequency capping across inventory.<\/li>\n
  • Optimization feedback loops:<\/strong> Better Tracking<\/strong> signals produce better bidding and creative decisions, often improving ROAS and lowering CPA.<\/li>\n<\/ul>\n\n\n\n

    The competitive advantage historically came from faster learning: advertisers with cleaner data and stronger cross-site measurement could iterate quicker than competitors.<\/p>\n\n\n\n

    How Third-party Cookie Works<\/h2>\n\n\n\n

    A Third-party Cookie<\/strong> is easiest to understand as a practical workflow that spans ad delivery, on-site behavior, and measurement.<\/p>\n\n\n\n

      \n
    1. \n

      Input \/ trigger (a third-party is present)<\/strong>\n – A user visits a publisher site that loads third-party scripts (ad tags, pixels, embedded widgets).\n – The third-party domain delivers an asset (for example, a pixel request) and attempts to read or set a cookie in the browser.<\/p>\n<\/li>\n

    2. \n

      Processing (identify and associate)<\/strong>\n – If allowed, the third party reads an existing cookie ID (or sets a new one).\n – The third party records events such as impressions, clicks, or site visits tied to that cookie ID.\n – Ad systems may perform \u201cID syncing\u201d between partners (where permitted) to map one identifier to another, improving match rates.<\/p>\n<\/li>\n

    3. \n

      Execution \/ application (activate and measure)<\/strong>\n – The identifier is used for Tracking<\/strong> outcomes: attribution, frequency capping, reach estimation, and audience targeting.\n – When the user later visits an advertiser site and a conversion happens, a third-party pixel may fire to report the event back to the third party (subject to browser rules and consent).<\/p>\n<\/li>\n

    4. \n

      Output \/ outcome (reporting and optimization)<\/strong>\n – Reports show conversions, attributed revenue, and performance by campaign, audience, or placement.\n – Bidding algorithms and budget allocation models adjust based on the measured outcomes, feeding back into Conversion & Measurement<\/strong> decisions.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

      In today\u2019s environment, many browsers restrict this flow by limiting third-party cookie access, shortening cookie lifetimes, requiring consent, or blocking cross-site storage\u2014reducing the reliability of third-party Tracking<\/strong>.<\/p>\n\n\n\n

      Key Components of Third-party Cookie<\/h2>\n\n\n\n

      A working Third-party Cookie<\/strong> ecosystem typically involves several components across technology, process, and governance:<\/p>\n\n\n\n

        \n
      • Browser storage and policies:<\/strong> Cookie access depends on browser settings, privacy features, and user choices.<\/li>\n
      • Tags and pixels:<\/strong> Third-party scripts embedded on sites that initiate cookie read\/write and send event data.<\/li>\n
      • Ad platforms and measurement systems:<\/strong> Systems that ingest events, deduplicate conversions, and produce Conversion & Measurement<\/strong> reporting.<\/li>\n
      • Identity mapping (where applicable):<\/strong> Controlled association between different identifiers to improve event matching across systems.<\/li>\n
      • Consent and governance:<\/strong> Privacy notices, consent capture, and policies that determine when third-party tags can run.<\/li>\n
      • Data inputs:<\/strong> Impression logs, click logs, on-site events, conversion values, timestamps, and basic metadata like campaign IDs.<\/li>\n
      • Team responsibilities:<\/strong><\/li>\n
      • Marketing owns objectives, KPIs, and channel decisions.<\/li>\n
      • Analytics defines measurement design, validation, and interpretation.<\/li>\n
      • Developers implement tagging, server integrations, and data quality safeguards.<\/li>\n
      • Legal\/privacy ensures the Tracking<\/strong> approach aligns with applicable requirements and company policy.<\/li>\n<\/ul>\n\n\n\n

        Types of Third-party Cookie<\/h2>\n\n\n\n

        There aren\u2019t \u201cofficial\u201d standardized types of Third-party Cookie<\/strong> in the way there are file formats, but there are meaningful distinctions that affect Conversion & Measurement<\/strong> quality:<\/p>\n\n\n\n

        By purpose<\/h3>\n\n\n\n
          \n
        • Advertising and retargeting cookies:<\/strong> Support interest-based targeting, audience creation, and frequency capping.<\/li>\n
        • Measurement cookies:<\/strong> Support attribution, conversion reporting, reach, and lift analysis.<\/li>\n
        • Fraud and security cookies:<\/strong> Help detect invalid traffic, bot behavior, and suspicious patterns.<\/li>\n<\/ul>\n\n\n\n

          By event scope<\/h3>\n\n\n\n
            \n
          • Impression-based (view) measurement:<\/strong> Captures ad views and can support view-through attribution (where policies and platforms allow).<\/li>\n
          • Click-based measurement:<\/strong> Relies on clicks and subsequent conversion events, often more robust than impression-only measurement.<\/li>\n<\/ul>\n\n\n\n

            By usability under restrictions<\/h3>\n\n\n\n
              \n
            • Fully functional:<\/strong> In environments where third-party cookies are allowed and consented.<\/li>\n
            • Partially functional:<\/strong> Some signals available, but with reduced match rates or shorter lifetimes.<\/li>\n
            • Unavailable:<\/strong> Third-party storage blocked; measurement must rely on first-party methods, aggregated reporting, or modeling.<\/li>\n<\/ul>\n\n\n\n

              These distinctions shape what you can realistically claim in Conversion & Measurement<\/strong> reporting and how much Tracking<\/strong> accuracy you should expect.<\/p>\n\n\n\n

              Real-World Examples of Third-party Cookie<\/h2>\n\n\n\n

              Example 1: Retargeting for an ecommerce store<\/h3>\n\n\n\n

              An online retailer runs display ads to re-engage visitors who viewed products but didn\u2019t purchase. Historically, a Third-party Cookie<\/strong> allowed an ad platform to recognize the same browser on multiple publisher sites and serve tailored ads. In Conversion & Measurement<\/strong>, conversions could be attributed back to those ads, helping the team evaluate ROAS. As third-party cookies become less reliable, the retailer may shift to first-party audiences, server-side event sharing, and more contextual targeting, while monitoring how Tracking<\/strong> coverage changes.<\/p>\n\n\n\n

              Example 2: Multi-site attribution for a B2B lead gen campaign<\/h3>\n\n\n\n

              A SaaS company runs paid campaigns across multiple ad exchanges and content sites. A third-party measurement tag on the landing page reports lead submissions back to a measurement provider. The Third-party Cookie<\/strong> helps connect ad exposure to the later form fill, improving Conversion & Measurement<\/strong> reporting by channel and creative. When the cookie is blocked, the company may see attribution gaps and must supplement with modeled conversions, CRM-based attribution, and improved first-party identifiers.<\/p>\n\n\n\n

              Example 3: Frequency capping across publishers<\/h3>\n\n\n\n

              A brand wants to limit ad exposure to avoid fatigue. Third-party identifiers historically made cross-site frequency capping feasible, improving efficiency and brand experience. Without dependable third-party Tracking<\/strong>, frequency control may become siloed per platform, and the team must reassess how frequency relates to conversion lift in its Conversion & Measurement<\/strong> plan.<\/p>\n\n\n\n

              Benefits of Using Third-party Cookie<\/h2>\n\n\n\n

              When available and properly governed, a Third-party Cookie<\/strong> can provide tangible benefits:<\/p>\n\n\n\n

                \n
              • Improved cross-site measurement:<\/strong> Better linkage between media exposure and conversions strengthens Conversion & Measurement<\/strong> insights.<\/li>\n
              • More efficient spend:<\/strong> Stronger Tracking<\/strong> feedback loops can reduce wasted impressions and improve bidding efficiency.<\/li>\n
              • Faster experimentation:<\/strong> More complete data can shorten the time needed to evaluate creatives, audiences, and placements.<\/li>\n
              • Audience relevance:<\/strong> Retargeting and lookalike-style approaches can increase relevance (though they also raise privacy considerations).<\/li>\n
              • Operational simplicity (historically):<\/strong> Client-side pixels were easy to deploy compared with deeper server integrations.<\/li>\n<\/ul>\n\n\n\n

                These benefits are increasingly conditional: they depend on browser behavior, consent, and platform-level limitations.<\/p>\n\n\n\n

                Challenges of Third-party Cookie<\/h2>\n\n\n\n

                A Third-party Cookie<\/strong> comes with real constraints that can undermine decision-making if ignored:<\/p>\n\n\n\n

                  \n
                • Browser restrictions and fragmentation:<\/strong> Different browsers enforce different rules, making Tracking<\/strong> inconsistent across audiences.<\/li>\n
                • Consent requirements and opt-outs:<\/strong> Consent banners and user choices can reduce signal volume and bias measurement toward consented users.<\/li>\n
                • Attribution gaps and biased reporting:<\/strong> Missing identifiers reduce match rates, often undercounting conversions and distorting channel comparisons in Conversion & Measurement<\/strong>.<\/li>\n
                • Data leakage and governance risk:<\/strong> Third-party tags can transmit data in ways marketers didn\u2019t intend unless tightly controlled.<\/li>\n
                • Latency and performance:<\/strong> Third-party scripts can slow pages, harming UX and potentially conversion rate.<\/li>\n
                • Limited lifespan and instability:<\/strong> Shorter cookie lifetimes reduce the ability to measure longer consideration cycles.<\/li>\n<\/ul>\n\n\n\n

                  Best Practices for Third-party Cookie<\/h2>\n\n\n\n

                  If you still use or encounter a Third-party Cookie<\/strong> in your stack, treat it as one input\u2014not the foundation of your measurement strategy.<\/p>\n\n\n\n

                    \n
                  • Prioritize first-party measurement design:<\/strong> Build Conversion & Measurement<\/strong> around first-party events, clear conversion definitions, and durable identifiers you control.<\/li>\n
                  • Implement consent-aware tagging:<\/strong> Fire third-party tags only when appropriate, and document what each tag collects and why.<\/li>\n
                  • Use server-side and first-party alternatives where feasible:<\/strong> Server-side event collection, first-party cookies, and authenticated experiences can reduce dependency on third-party storage.<\/li>\n
                  • Validate data quality routinely:<\/strong> Monitor match rates, deduplication, and event loss to understand how cookie availability affects Tracking<\/strong>.<\/li>\n
                  • Align attribution to decision use-cases:<\/strong> Use platform attribution for in-platform optimization, and complement with incrementality testing or MMM for budget allocation.<\/li>\n
                  • Minimize tag bloat:<\/strong> Audit and remove unnecessary third-party scripts to improve performance and reduce governance risk.<\/li>\n
                  • Plan for reporting continuity:<\/strong> When third-party signals drop, maintain comparable KPIs with clear annotation and expectation-setting.<\/li>\n<\/ul>\n\n\n\n

                    Tools Used for Third-party Cookie<\/h2>\n\n\n\n

                    You don\u2019t \u201cmanage\u201d a Third-party Cookie<\/strong> with a single tool; it\u2019s an ecosystem spanning collection, activation, and reporting. Common tool categories in Conversion & Measurement<\/strong> and Tracking<\/strong> include:<\/p>\n\n\n\n

                      \n
                    • Tag management systems:<\/strong> Control which third-party tags load, under what conditions, and with which data parameters.<\/li>\n
                    • Consent management platforms:<\/strong> Capture and store consent choices and enforce consent-based Tracking<\/strong> behavior.<\/li>\n
                    • Analytics tools:<\/strong> Measure on-site behavior and conversions; help compare first-party vs third-party reported results.<\/li>\n
                    • Ad platforms and demand-side platforms:<\/strong> Use third-party identifiers (where permitted) for targeting, frequency management, and conversion reporting.<\/li>\n
                    • Customer data platforms \/ identity systems:<\/strong> Unify first-party events and customer profiles to reduce reliance on third-party IDs.<\/li>\n
                    • Data warehouses and BI dashboards:<\/strong> Centralize event data, reconcile discrepancies, and create consistent Conversion & Measurement<\/strong> reporting.<\/li>\n
                    • Experimentation and lift testing tools:<\/strong> Provide incrementality evidence when deterministic cookie-based attribution is incomplete.<\/li>\n<\/ul>\n\n\n\n

                      Metrics Related to Third-party Cookie<\/h2>\n\n\n\n

                      Because a Third-party Cookie<\/strong> affects coverage and linkage, many relevant metrics are about signal quality as much as performance:<\/p>\n\n\n\n

                        \n
                      • Match rate:<\/strong> Percentage of conversions that can be matched back to an ad exposure or click.<\/li>\n
                      • Attribution coverage:<\/strong> Share of total conversions that appear in platform reports versus first-party analytics\/CRM.<\/li>\n
                      • Modeled vs observed conversions:<\/strong> How many conversions are estimated versus directly observed through Tracking<\/strong>.<\/li>\n
                      • CPA \/ ROAS (with confidence notes):<\/strong> Performance metrics should be interpreted alongside coverage changes.<\/li>\n
                      • Frequency and reach (where available):<\/strong> How often ads are shown and to how many unique browsers\/users.<\/li>\n
                      • View-through conversion rate:<\/strong> Useful but sensitive to policy and methodology; treat carefully in Conversion & Measurement<\/strong> decisions.<\/li>\n
                      • Consent rate:<\/strong> The percentage of users granting permission for certain categories of Tracking<\/strong>.<\/li>\n
                      • Data loss rate \/ event drop-off:<\/strong> Difference between expected events and received events, often rising when third-party cookies are blocked.<\/li>\n<\/ul>\n\n\n\n

                        Future Trends of Third-party Cookie<\/h2>\n\n\n\n

                        The Third-party Cookie<\/strong> is evolving from a default mechanism to an optional, constrained signal. Key trends shaping Conversion & Measurement<\/strong> include:<\/p>\n\n\n\n

                          \n
                        • Privacy-driven platform changes:<\/strong> Browsers and operating systems continue to reduce cross-site identifiers, pushing the industry toward less individual-level Tracking<\/strong>.<\/li>\n
                        • First-party data acceleration:<\/strong> More companies invest in logged-in experiences, lifecycle marketing, and first-party event pipelines.<\/li>\n
                        • Server-side collection and privacy-preserving measurement:<\/strong> Moving collection off the client can improve reliability and governance, though it must still respect consent and policy.<\/li>\n
                        • Aggregated and modeled reporting:<\/strong> More measurement will rely on statistical modeling, cohort-based outputs, and calibration against experiments.<\/li>\n
                        • Contextual and creative-driven optimization:<\/strong> As identity signals weaken, performance advantages may come more from message-market fit, landing page quality, and contextual placement.<\/li>\n
                        • AI-assisted measurement operations:<\/strong> AI will help detect anomalies, estimate incrementality, and automate debugging across fragmented Tracking<\/strong> environments.<\/li>\n<\/ul>\n\n\n\n

                          In practice, Conversion & Measurement<\/strong> leaders are designing \u201ccookie-resilient\u201d measurement stacks that can still answer business questions when third-party cookies are absent.<\/p>\n\n\n\n

                          Third-party Cookie vs Related Terms<\/h2>\n\n\n\n

                          Third-party Cookie vs First-party Cookie<\/h3>\n\n\n\n

                          A first-party cookie is set by the site the user is visiting and is generally more durable for site functionality and first-party analytics. A Third-party Cookie<\/strong> is set by another domain and is more likely to be blocked or restricted. For Conversion & Measurement<\/strong>, first-party cookies are better for on-site Tracking<\/strong>, while third-party cookies historically helped with cross-site attribution and ad tech workflows.<\/p>\n\n\n\n

                          Third-party Cookie vs Tracking Pixel<\/h3>\n\n\n\n

                          A tracking pixel is a method (often a small request) to send an event to a server. A pixel may use cookies, but it doesn\u2019t have to. A Third-party Cookie<\/strong> is specifically browser storage. In Tracking<\/strong> terms: pixels generate events; cookies help recognize browsers across events.<\/p>\n\n\n\n

                          Third-party Cookie vs Server-side Tracking<\/h3>\n\n\n\n

                          Server-side tracking collects events from your server environment rather than relying entirely on the user\u2019s browser. It can reduce client-side loss and improve control, but it doesn\u2019t magically restore third-party cookie capabilities. In Conversion & Measurement<\/strong>, server-side approaches often strengthen first-party data and can integrate with ad platforms in privacy-aware ways.<\/p>\n\n\n\n

                          Who Should Learn Third-party Cookie<\/h2>\n\n\n\n
                            \n
                          • Marketers:<\/strong> To understand why platform-reported results and on-site analytics may diverge, and how to plan cookie-resilient campaigns.<\/li>\n
                          • Analysts:<\/strong> To diagnose attribution gaps, model bias, and changes in Tracking<\/strong> coverage that affect decision-making.<\/li>\n
                          • Agencies:<\/strong> To set correct expectations with clients, choose measurement methods responsibly, and standardize reporting in Conversion & Measurement<\/strong> across accounts.<\/li>\n
                          • Business owners and founders:<\/strong> To interpret CAC\/ROAS confidently and avoid overreacting to measurement swings caused by cookie loss.<\/li>\n
                          • Developers:<\/strong> To implement consent-aware tagging, server-side event flows, and data quality monitoring that reduce reliance on third-party identifiers.<\/li>\n<\/ul>\n\n\n\n

                            Summary of Third-party Cookie<\/h2>\n\n\n\n

                            A Third-party Cookie<\/strong> is a cookie set by a domain other than the site a user is visiting, historically enabling cross-site Tracking<\/strong> for advertising and attribution. It has played a major role in Conversion & Measurement<\/strong> by connecting ad exposure and on-site conversions, supporting retargeting, frequency management, and optimization.<\/p>\n\n\n\n

                            Today, browser restrictions and privacy expectations make third-party cookies less reliable, pushing teams toward first-party data, server-side measurement, experimentation, and modeled reporting. Understanding the Third-party Cookie<\/strong> remains essential for interpreting performance, designing resilient measurement, and choosing the right Tracking<\/strong> approach for your business.<\/p>\n\n\n\n

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

                            1) What is a Third-party Cookie used for in marketing?<\/h3>\n\n\n\n

                            A Third-party Cookie<\/strong> has commonly been used to recognize a browser across multiple websites for ad targeting, retargeting, frequency capping, and conversion attribution within Conversion & Measurement<\/strong>.<\/p>\n\n\n\n

                            2) Why are third-party cookies being restricted?<\/h3>\n\n\n\n

                            They enable cross-site Tracking<\/strong> that many users and regulators consider overly invasive. Browsers have responded by limiting or blocking third-party storage and tightening privacy controls.<\/p>\n\n\n\n

                            3) Does removing third-party cookies eliminate all Tracking?<\/h3>\n\n\n\n

                            No. You can still measure on-site behavior with first-party analytics, use consented first-party identifiers, run experiments, and use aggregated or modeled measurement. It does reduce many forms of cross-site Tracking<\/strong> that depended on third-party storage.<\/p>\n\n\n\n

                            4) How does Third-party Cookie loss affect attribution reports?<\/h3>\n\n\n\n

                            It typically lowers match rates between ad exposure and conversions, which can undercount conversions in platform reports and shift credit toward channels with stronger first-party signals. This directly impacts Conversion & Measurement<\/strong> interpretation.<\/p>\n\n\n\n

                            5) What are the best alternatives for Conversion & Measurement without third-party cookies?<\/h3>\n\n\n\n

                            Common approaches include stronger first-party event tracking, server-side event collection, consent-aware tagging, incrementality testing, and marketing mix modeling\u2014combined with careful KPI definitions and monitoring.<\/p>\n\n\n\n

                            6) Should I still use third-party pixels if third-party cookies are limited?<\/h3>\n\n\n\n

                            Sometimes, yes\u2014pixels can still send events even if cookie-based identification is weaker. The key is to understand what signal you\u2019re actually receiving and to validate Tracking<\/strong> quality against first-party sources.<\/p>\n\n\n\n

                            7) How can I tell if my campaigns rely too much on third-party cookies?<\/h3>\n\n\n\n

                            Look for declining match rates, widening gaps between platform conversions and first-party analytics\/CRM outcomes, and unstable attribution paths. In Conversion & Measurement<\/strong>, these are signs you need more durable first-party measurement and testing.<\/p>\n","protected":false},"excerpt":{"rendered":"

                            A **Third-party Cookie** is a browser cookie set by a domain other than the site a person is currently visiting. In **Conversion & Measurement**, it has historically powered cross-site **Tracking** for advertising, frequency capping, retargeting, and attribution. When an ad tech or analytics provider can recognize a browser across many websites, it can connect ad exposure to later actions\u2014like sign-ups, purchases, or leads.<\/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-7347","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\/7347","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=7347"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/7347\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=7347"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=7347"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=7347"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}