{"id":7336,"date":"2026-03-24T09:00:21","date_gmt":"2026-03-24T09:00:21","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/site-search-tracking\/"},"modified":"2026-03-24T09:00:21","modified_gmt":"2026-03-24T09:00:21","slug":"site-search-tracking","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/site-search-tracking\/","title":{"rendered":"Site Search Tracking: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Tracking"},"content":{"rendered":"\n

Site Search Tracking is the practice of measuring what people type into your website\u2019s internal search box and what happens next\u2014clicks, refinements, exits, and conversions. In the world of Conversion & Measurement<\/strong>, internal search data is one of the most honest signals of user intent you can capture: it reflects what visitors want<\/em>, in their own words, after they\u2019ve already landed on your site.<\/p>\n\n\n\n

Because it sits at the intersection of intent and outcomes, Site Search Tracking<\/strong> strengthens your broader Tracking<\/strong> strategy. It helps teams connect customer language to product discovery, content gaps, UX friction, and revenue. When implemented well, it turns your internal search feature into a continuous research stream that improves conversion rate optimization (CRO), SEO, merchandising, and customer experience.<\/p>\n\n\n\n

What Is Site Search Tracking?<\/h2>\n\n\n\n

Site Search Tracking<\/strong> is the process of collecting, structuring, and analyzing data from on-site search interactions\u2014queries, filters, result views, result clicks, and post-search behavior. The goal is to understand what users are trying to accomplish and whether your site helps them complete that task efficiently.<\/p>\n\n\n\n

At its core, the concept is simple: someone searches on your site, your analytics captures the search event, and you evaluate the downstream impact (engagement, add-to-cart, lead submission, sign-up, or other key events). The business meaning, however, is deeper: internal search reveals demand, confusion, and purchase intent in a way that pageviews alone rarely can.<\/p>\n\n\n\n

Within Conversion & Measurement<\/strong>, Site Search Tracking is an intent-to-outcome lens. Within Tracking<\/strong>, it is a structured event stream that should integrate with your broader measurement framework (events, funnels, attribution, and reporting).<\/p>\n\n\n\n

Why Site Search Tracking Matters in Conversion & Measurement<\/h2>\n\n\n\n

Internal search users are often your highest-intent visitors. They already chose to stay on your site, and they\u2019re telling you what they need. In Conversion & Measurement<\/strong>, that makes Site Search Tracking strategically valuable for several reasons:<\/p>\n\n\n\n

    \n
  • It exposes demand you may not be serving.<\/strong> Repeated searches for a product, feature, or topic can reveal missing inventory, missing content, or unclear navigation.<\/li>\n
  • It improves funnel visibility.<\/strong> You can measure whether search helps users progress (search \u2192 results \u2192 click \u2192 conversion) or whether it creates drop-offs.<\/li>\n
  • It upgrades optimization priorities.<\/strong> Instead of guessing what to improve, teams can prioritize based on the volume and value of search-driven sessions.<\/li>\n
  • It enables smarter segmentation.<\/strong> Comparing \u201csearch users\u201d vs \u201cnon-search users\u201d often highlights differences in conversion rate, average order value, or lead quality.<\/li>\n
  • It strengthens competitive advantage.<\/strong> Brands that learn faster from intent signals\u2014especially in high-traffic environments\u2014iterate faster on UX, content, and merchandising.<\/li>\n<\/ul>\n\n\n\n

    In short, Site Search Tracking<\/strong> turns a common website feature into a measurable growth lever inside Conversion & Measurement<\/strong>.<\/p>\n\n\n\n

    How Site Search Tracking Works<\/h2>\n\n\n\n

    In practice, Site Search Tracking is a combination of instrumentation, data processing, and analysis. A practical workflow looks like this:<\/p>\n\n\n\n

      \n
    1. \n

      Input \/ trigger (user intent)<\/strong>\n – A user enters a query into the site search box, often with filters, sorting, or category scoping.\n – The search can occur on any device, after any acquisition source, and at any stage in the journey.<\/p>\n<\/li>\n

    2. \n

      Analysis \/ processing (data capture and normalization)<\/strong>\n – Your measurement setup records a search event and key parameters such as the query term, applied filters, results count, and (ideally) a search identifier to connect clicks back to the query.\n – Queries are normalized (lowercased, trimmed, cleaned of internal IDs, grouped into themes) to support reliable reporting.<\/p>\n<\/li>\n

    3. \n

      Execution \/ application (using the insights)<\/strong>\n – Teams analyze patterns: zero-result searches, high-exit searches, high-conversion search themes, and filter usage.\n – Actions follow: improve search relevance, add synonyms, adjust navigation, create content, fix product data, or change internal linking.<\/p>\n<\/li>\n

    4. \n

      Output \/ outcome (measurable impact)<\/strong>\n – You measure the effect through Conversion & Measurement<\/strong> outcomes: conversion rate, revenue per session, lead submissions, reduced exits, and improved engagement for searchers.\n – The Tracking loop repeats: capture \u2192 analyze \u2192 improve \u2192 measure again.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

      This is why Site Search Tracking is both a Tracking<\/strong> discipline and an optimization system.<\/p>\n\n\n\n

      Key Components of Site Search Tracking<\/h2>\n\n\n\n

      Strong Site Search Tracking depends on more than \u201ccapturing a query.\u201d The most effective implementations include:<\/p>\n\n\n\n

      Data inputs you should capture<\/h3>\n\n\n\n
        \n
      • Search query term<\/strong> (what was typed)<\/li>\n
      • Results count<\/strong> (how many results were returned)<\/li>\n
      • Result interactions<\/strong> (which result was clicked, position\/rank if possible)<\/li>\n
      • Refinements<\/strong> (new query, filter changes, sort selection)<\/li>\n
      • Post-search events<\/strong> (add-to-cart, sign-up, form submit, purchase, key page views)<\/li>\n
      • Context<\/strong> (device, logged-in status, location, traffic source, landing page category)<\/li>\n<\/ul>\n\n\n\n

        Processes and governance<\/h3>\n\n\n\n
          \n
        • A measurement plan<\/strong> defining what the search event means, which parameters are required, and how success is evaluated in Conversion & Measurement<\/strong>.<\/li>\n
        • Data quality checks<\/strong> for missing parameters, duplicate firing, and personally identifiable information (PII) risks.<\/li>\n
        • Clear ownership<\/strong> across teams:<\/li>\n
        • Analytics: instrumentation, taxonomy, reporting<\/li>\n
        • Product\/UX: search experience and navigation improvements<\/li>\n
        • Content\/SEO: content gap resolution and internal linking<\/li>\n
        • E-commerce\/Revenue: merchandising and product data quality<\/li>\n<\/ul>\n\n\n\n

          Metrics and reporting structure<\/h3>\n\n\n\n
            \n
          • Dashboards and recurring reviews that tie Site Search Tracking insights to business impact, not just query lists.<\/li>\n<\/ul>\n\n\n\n

            Types of Site Search Tracking<\/h2>\n\n\n\n

            Site Search Tracking doesn\u2019t have rigid \u201cofficial types,\u201d but in real-world Tracking<\/strong> practice, the most useful distinctions are:<\/p>\n\n\n\n

            1) Basic query tracking vs behavioral tracking<\/h3>\n\n\n\n
              \n
            • Basic<\/strong>: capture the query term and page path where search occurred.<\/li>\n
            • Behavioral<\/strong>: capture query, results count, clicks, refinements, and downstream conversions to support funnel analysis.<\/li>\n<\/ul>\n\n\n\n

              2) URL-based tracking vs event-based tracking<\/h3>\n\n\n\n
                \n
              • URL-based<\/strong>: the search term appears in a query parameter (for example, ?q=<\/code>). Analytics can parse it.<\/li>\n
              • Event-based<\/strong>: searches happen dynamically without a URL change (common in modern web apps). You must send events explicitly with parameters.<\/li>\n<\/ul>\n\n\n\n

                3) Search quality tracking vs revenue impact tracking<\/h3>\n\n\n\n
                  \n
                • Search quality<\/strong>: relevance, zero results, \u201cno click\u201d searches, time to result click.<\/li>\n
                • Revenue impact<\/strong>: conversion rate for search sessions, revenue per search, assisted conversions, lead quality.<\/li>\n<\/ul>\n\n\n\n

                  The best Conversion & Measurement<\/strong> programs combine all three distinctions: they measure mechanics, behavior, and outcomes.<\/p>\n\n\n\n

                  Real-World Examples of Site Search Tracking<\/h2>\n\n\n\n

                  Example 1: E-commerce merchandising and inventory decisions<\/h3>\n\n\n\n

                  An online retailer implements Site Search Tracking and discovers high-volume searches for \u201cwide shoes\u201d and \u201cwaterproof hiking boots,\u201d but many queries return few results and high exits. The team improves product tagging (attributes), adds filter visibility, and tunes synonym rules (e.g., \u201cwater resistant\u201d vs \u201cwaterproof\u201d). In Conversion & Measurement<\/strong>, they track a lift in search-to-cart rate and reduced exits from search results pages\u2014clear Tracking<\/strong> evidence that relevance improvements drive revenue.<\/p>\n\n\n\n

                  Example 2: SaaS website content gaps and lead generation<\/h3>\n\n\n\n

                  A B2B SaaS company sees frequent internal searches for \u201cpricing,\u201d \u201cSOC 2,\u201d and \u201cintegrations,\u201d with strong engagement when users find the right pages. They use Site Search Tracking to prioritize a security page, expand integration documentation, and improve navigation labels. They also measure the impact on demo requests and trial starts, tying internal intent signals directly to Conversion & Measurement<\/strong> outcomes.<\/p>\n\n\n\n

                  Example 3: Publisher or education site improving retention<\/h3>\n\n\n\n

                  A content-heavy site tracks searches for \u201cbeginner,\u201d \u201ctemplate,\u201d and \u201cchecklist,\u201d noticing many refinements and repeated searches. That indicates users are struggling to find a canonical resource. They create consolidated hub pages and improve internal linking. With Site Search Tracking, they monitor search refinements per session and time-to-content discovery, then connect improvements to subscription conversions and returning visitor rates.<\/p>\n\n\n\n

                  Benefits of Using Site Search Tracking<\/h2>\n\n\n\n

                  When implemented as part of Conversion & Measurement<\/strong>, Site Search Tracking provides benefits that go beyond analytics curiosity:<\/p>\n\n\n\n

                    \n
                  • Higher conversion rates<\/strong> by reducing friction for high-intent users who rely on search to navigate.<\/li>\n
                  • Lower customer acquisition waste<\/strong> because you can diagnose on-site friction that prevents paid traffic from converting.<\/li>\n
                  • Faster optimization cycles<\/strong> through a steady stream of user language and intent patterns.<\/li>\n
                  • Better SEO and content strategy<\/strong> by revealing topics users expect to find and the wording they use (helpful for on-site copy, FAQs, and internal linking).<\/li>\n
                  • Improved customer experience<\/strong> by identifying dead ends (zero results, \u201cno click\u201d searches) and fixing them.<\/li>\n
                  • Operational efficiency<\/strong> by aligning product, content, UX, and analytics teams around measurable search-driven issues.<\/li>\n<\/ul>\n\n\n\n

                    Challenges of Site Search Tracking<\/h2>\n\n\n\n

                    Site Search Tracking can be deceptively tricky. Common barriers include:<\/p>\n\n\n\n

                    Technical challenges<\/h3>\n\n\n\n
                      \n
                    • Single-page applications (SPAs)<\/strong> where searches don\u2019t change the URL, requiring event instrumentation.<\/li>\n
                    • Inconsistent query parameters<\/strong> across templates or locales, creating fragmented reporting.<\/li>\n
                    • Missing context<\/strong> (results count, clicked result) that prevents meaningful funnel analysis.<\/li>\n<\/ul>\n\n\n\n

                      Strategic and measurement risks<\/h3>\n\n\n\n
                        \n
                      • Over-counting<\/strong> searches when events fire on each keystroke rather than on submit.<\/li>\n
                      • Sampling or aggregation limits<\/strong> in some analytics setups, reducing query-level visibility at scale.<\/li>\n
                      • Misinterpreting intent<\/strong>: some searches are exploratory (\u201cgift ideas\u201d), while others are transactional (\u201cSKU 12345\u201d).<\/li>\n<\/ul>\n\n\n\n

                        Data limitations and governance<\/h3>\n\n\n\n
                          \n
                        • Privacy concerns<\/strong> if users search for personal data (emails, order numbers, names). Your Tracking design must prevent storing PII.<\/li>\n
                        • Taxonomy drift<\/strong> if teams change search UX or providers without updating measurement specifications.<\/li>\n<\/ul>\n\n\n\n

                          Best Practices for Site Search Tracking<\/h2>\n\n\n\n

                          To make Site Search Tracking reliable and useful in Conversion & Measurement<\/strong>, focus on these practical steps:<\/p>\n\n\n\n

                            \n
                          1. \n

                            Define a search event standard<\/strong>\n – Track \u201csearch_submit\u201d (or equivalent) once per completed search, not per keystroke.\n – Include required parameters: query, results count, and page\/context.<\/p>\n<\/li>\n

                          2. \n

                            Capture the downstream journey<\/strong>\n – Track result clicks and connect them to the originating query when possible.\n – Measure post-search conversions so you can quantify impact, not just volume.<\/p>\n<\/li>\n

                          3. \n

                            Build a query normalization process<\/strong>\n – Standardize casing, trim whitespace, and group obvious variants.\n – Create a lightweight categorization system (themes like \u201creturns,\u201d \u201cpricing,\u201d \u201ccompatibility\u201d) for decision-ready reporting.<\/p>\n<\/li>\n

                          4. \n

                            Monitor \u201cproblem signals\u201d weekly<\/strong>\n – Zero-result rate, no-click searches, high-exit searches, high-refinement sessions.\n – Use thresholds to trigger investigation (for example, top zero-result queries by volume).<\/p>\n<\/li>\n

                          5. \n

                            Treat internal search as a product<\/strong>\n – Run relevance improvements, UX tests (filters, sorting), and content fixes as ongoing initiatives.\n – Use controlled experiments when feasible, and validate with Conversion & Measurement<\/strong> metrics.<\/p>\n<\/li>\n

                          6. \n

                            Prevent PII collection<\/strong>\n – Implement filters\/redaction rules (for common email patterns, phone-like strings) before data is stored.\n – Document what you collect and why as part of Tracking governance.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                            Tools Used for Site Search Tracking<\/h2>\n\n\n\n

                            Site Search Tracking is enabled by an ecosystem of tools rather than one single platform. Common tool categories include:<\/p>\n\n\n\n

                              \n
                            • Analytics tools<\/strong> to record events, build funnels, segment searchers vs non-searchers, and report on outcomes in Conversion & Measurement<\/strong>.<\/li>\n
                            • Tag management systems<\/strong> to deploy and maintain search events, parameters, and governance rules without constant code releases.<\/li>\n
                            • Data warehouses and ETL pipelines<\/strong> for storing raw search events, normalizing queries, and joining search behavior to orders, users, or accounts.<\/li>\n
                            • Search platforms and site search engines<\/strong> that provide relevance controls, synonyms, zero-result handling, and internal search analytics.<\/li>\n
                            • Experimentation and personalization tools<\/strong> to test changes to search UX (filters, layout, ranking) and measure impact via Tracking.<\/li>\n
                            • Reporting dashboards<\/strong> that operationalize metrics for weekly business reviews across marketing, product, and e-commerce teams.<\/li>\n
                            • CRM systems<\/strong> (especially in B2B) to connect search behavior to lead stages and downstream revenue in your Conversion & Measurement<\/strong> model.<\/li>\n<\/ul>\n\n\n\n

                              Metrics Related to Site Search Tracking<\/h2>\n\n\n\n

                              To make Site Search Tracking actionable, track metrics across volume, quality, and business impact:<\/p>\n\n\n\n

                              Search usage and engagement<\/h3>\n\n\n\n
                                \n
                              • Searches per session<\/strong> (and % of sessions using search)<\/li>\n
                              • Unique search terms<\/strong> (and trend over time)<\/li>\n
                              • Search refinements per session<\/strong> (how often users re-search or adjust)<\/li>\n<\/ul>\n\n\n\n

                                Search quality<\/h3>\n\n\n\n
                                  \n
                                • Zero-result rate<\/strong> (searches returning 0 results)<\/li>\n
                                • No-click rate<\/strong> (searches with no result click)<\/li>\n
                                • Result click-through rate (CTR)<\/strong> (search \u2192 result click)<\/li>\n
                                • Time to first result click<\/strong> (speed of discovery)<\/li>\n
                                • Exit rate from search results<\/strong> (search becomes a dead end)<\/li>\n<\/ul>\n\n\n\n

                                  Conversion & Measurement outcomes<\/h3>\n\n\n\n
                                    \n
                                  • Conversion rate for search sessions<\/strong> vs non-search sessions<\/li>\n
                                  • Revenue per search session<\/strong> or lead conversion rate after search<\/strong><\/li>\n
                                  • Assisted conversions<\/strong> where search occurs before the final conversion step<\/li>\n
                                  • Average order value (AOV)<\/strong> for searchers (useful in e-commerce)<\/li>\n<\/ul>\n\n\n\n

                                    These metrics elevate Site Search Tracking from a log of queries into a core Tracking<\/strong> capability.<\/p>\n\n\n\n

                                    Future Trends of Site Search Tracking<\/h2>\n\n\n\n

                                    Site Search Tracking is evolving quickly within Conversion & Measurement<\/strong>, driven by AI, experience expectations, and privacy realities:<\/p>\n\n\n\n

                                      \n
                                    • AI-powered search experiences<\/strong> (semantic matching, natural language queries, auto-suggestions) will shift measurement from exact keywords to intent categories and entities.<\/li>\n
                                    • Personalized search results<\/strong> will make analysis more segmented: the \u201csame\u201d query can yield different results by user history, location, or device, increasing the need for contextual Tracking parameters.<\/li>\n
                                    • On-site search and recommendation convergence<\/strong> means teams will measure not only queries, but also \u201cbrowse-to-search\u201d loops and assisted discovery patterns.<\/li>\n
                                    • Privacy and data minimization<\/strong> will push better redaction, shorter retention windows, and more aggregated reporting\u2014without losing decision usefulness.<\/li>\n
                                    • Server-side and first-party measurement<\/strong> approaches may become more common for data quality and control, influencing how Site Search Tracking is implemented and governed.<\/li>\n<\/ul>\n\n\n\n

                                      The direction is clear: internal search measurement will become more intent-focused, integrated, and outcome-driven across Conversion & Measurement<\/strong>.<\/p>\n\n\n\n

                                      Site Search Tracking vs Related Terms<\/h2>\n\n\n\n

                                      Site Search Tracking vs SEO keyword research<\/h3>\n\n\n\n
                                        \n
                                      • SEO keyword research<\/strong> focuses on queries people use on external search engines to discover content.<\/li>\n
                                      • Site Search Tracking<\/strong> focuses on what visitors search after<\/em> arriving on your site.\nThey complement each other: SEO finds acquisition demand; internal search reveals on-site demand and navigation gaps.<\/li>\n<\/ul>\n\n\n\n

                                        Site Search Tracking vs event tracking<\/h3>\n\n\n\n
                                          \n
                                        • Event tracking<\/strong> is a broad Tracking<\/strong> concept: measuring user interactions like clicks, scrolls, video plays, and downloads.<\/li>\n
                                        • Site Search Tracking<\/strong> is a specialized subset focused on search queries, results, and downstream behavior.\nIt typically requires more parameters and more careful governance than many generic events.<\/li>\n<\/ul>\n\n\n\n

                                          Site Search Tracking vs conversion tracking<\/h3>\n\n\n\n
                                            \n
                                          • Conversion tracking<\/strong> measures the completion of key actions (purchase, lead, sign-up).<\/li>\n
                                          • Site Search Tracking<\/strong> measures an intent signal and its influence on conversions.\nIn Conversion & Measurement<\/strong>, the most mature approach links them: search behavior becomes an explanatory layer for why conversions rise or fall.<\/li>\n<\/ul>\n\n\n\n

                                            Who Should Learn Site Search Tracking<\/h2>\n\n\n\n

                                            Site Search Tracking is valuable across roles because it connects intent to outcomes with unusually high clarity:<\/p>\n\n\n\n

                                              \n
                                            • Marketers<\/strong> use it to refine messaging, landing pages, and content priorities based on real user language.<\/li>\n
                                            • Analysts<\/strong> rely on it to build stronger funnels, segments, and diagnostic dashboards in Conversion & Measurement<\/strong>.<\/li>\n
                                            • Agencies<\/strong> use it to prove impact by tying UX and content improvements to measurable results through Tracking.<\/li>\n
                                            • Business owners and founders<\/strong> gain direct insight into customer demand, objections, and product gaps without waiting for long research cycles.<\/li>\n
                                            • Developers and product teams<\/strong> use it to instrument reliable events, improve search UX, and reduce friction in high-intent journeys.<\/li>\n<\/ul>\n\n\n\n

                                              Summary of Site Search Tracking<\/h2>\n\n\n\n

                                              Site Search Tracking measures what users search for on your website and what happens next. It matters because internal search reveals high-intent needs in the customer\u2019s own words\u2014insights that can directly improve UX, content, merchandising, and revenue. Within Conversion & Measurement<\/strong>, it helps connect intent signals to conversions and business outcomes. Within Tracking<\/strong>, it is a structured event stream that must be implemented with clean parameters, quality controls, and privacy-aware governance.<\/p>\n\n\n\n

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

                                              1) What is Site Search Tracking used for?<\/h3>\n\n\n\n

                                              Site Search Tracking is used to understand on-site user intent (queries, filters, result interactions) and connect it to outcomes like purchases, sign-ups, or lead submissions in Conversion & Measurement<\/strong>.<\/p>\n\n\n\n

                                              2) Do I need a search results page for Site Search Tracking to work?<\/h3>\n\n\n\n

                                              No. If your site search updates results dynamically, you can still implement Site Search Tracking with event-based Tracking<\/strong> that records the query, results count, and clicks without relying on a URL change.<\/p>\n\n\n\n

                                              3) Which is more important: tracking search terms or tracking search outcomes?<\/h3>\n\n\n\n

                                              Outcomes are more important for decision-making. Search terms tell you what people want; outcomes (CTR, exits, conversions) tell you whether your site successfully delivers it\u2014critical for Conversion & Measurement<\/strong>.<\/p>\n\n\n\n

                                              4) How do I prevent capturing sensitive data in internal search queries?<\/h3>\n\n\n\n

                                              Implement redaction rules before storing query data, avoid collecting raw PII-like strings, and set clear governance in your Tracking<\/strong> plan. Also limit retention and access to search query logs.<\/p>\n\n\n\n

                                              5) What\u2019s a good first report to build from Site Search Tracking?<\/h3>\n\n\n\n

                                              Start with: top search terms, zero-result searches by volume, no-click searches, and conversion rate for sessions that used search vs those that didn\u2019t. This provides quick wins for Conversion & Measurement<\/strong>.<\/p>\n\n\n\n

                                              6) Why are \u201czero-result searches\u201d so important?<\/h3>\n\n\n\n

                                              They indicate a mismatch between what users expect and what your site provides (or how it\u2019s tagged). Reducing zero-result searches often improves user experience and conversion performance, making it a high-leverage Site Search Tracking insight.<\/p>\n\n\n\n

                                              7) How does Tracking internal search help SEO if it\u2019s not Google data?<\/h3>\n\n\n\n

                                              Internal search reflects the vocabulary and questions of your actual visitors. It can guide page creation, FAQ expansions, and internal linking\u2014improving on-site relevance and engagement, which supports broader Conversion & Measurement<\/strong> goals.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                              Site Search Tracking is the practice of measuring what people type into your website\u2019s internal search box and what happens next\u2014clicks, refinements, exits, and conversions. In the world of **Conversion & Measurement**, internal search data is one of the most honest signals of user intent you can capture: it reflects what visitors *want*, in their own words, after they\u2019ve already landed on your site.<\/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-7336","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\/7336","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=7336"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/7336\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=7336"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=7336"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=7336"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}