{"id":7202,"date":"2026-03-24T04:00:10","date_gmt":"2026-03-24T04:00:10","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/time-to-complete-form\/"},"modified":"2026-03-24T04:00:10","modified_gmt":"2026-03-24T04:00:10","slug":"time-to-complete-form","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/time-to-complete-form\/","title":{"rendered":"Time to Complete Form: What It Is, Key Features, Benefits, Use Cases, and How It Fits in CRO"},"content":{"rendered":"\n

Time to Complete Form is the amount of time a user takes to finish and submit a form after they begin interacting with it. In Conversion & Measurement<\/strong>, it\u2019s a diagnostic metric that helps teams understand friction in lead generation, checkout, sign-ups, demo requests, and any flow where a form is the gate to conversion. In CRO<\/strong>, it\u2019s one of the clearest signals that a form\u2019s design, wording, validation, and perceived effort may be helping\u2014or hurting\u2014conversion performance.<\/p>\n\n\n\n

Modern Conversion & Measurement<\/strong> strategy increasingly focuses on quality and efficiency<\/em>, not just volume. A form that converts but takes too long can still be costly: it can increase abandonment, reduce lead quality through \u201crush behavior,\u201d and create hidden drop-offs that attribution reports won\u2019t explain. Measuring Time to Complete Form turns a vague problem (\u201cpeople aren\u2019t submitting\u201d) into an observable, improvable part of the funnel.<\/p>\n\n\n\n

What Is Time to Complete Form?<\/h2>\n\n\n\n

Time to Complete Form<\/strong> is the elapsed time between a user\u2019s first meaningful interaction with a form and the moment the form is successfully submitted. \u201cFirst interaction\u201d might be the first focus on a field, first keystroke, or first change event\u2014what matters is choosing a consistent rule and applying it across reporting.<\/p>\n\n\n\n

At its core, Time to Complete Form captures experienced effort<\/strong>. Two forms with the same number of fields can have very different completion times depending on clarity, input formats, error handling, and how well the form matches the user\u2019s context (mobile vs desktop, logged-in vs anonymous, domestic vs international).<\/p>\n\n\n\n

From a business perspective, Time to Complete Form helps answer questions like:<\/p>\n\n\n\n

    \n
  • Are we losing conversions because the form is too slow or confusing?<\/li>\n
  • Do high-intent users complete faster than low-intent users?<\/li>\n
  • Did our last form change reduce friction or introduce it?<\/li>\n<\/ul>\n\n\n\n

    In Conversion & Measurement<\/strong>, Time to Complete Form is a behavioral efficiency metric<\/em> that complements conversion rate and drop-off analysis. In CRO<\/strong>, it\u2019s used to identify optimization opportunities, validate UX hypotheses, and quantify the impact of form improvements beyond \u201cdid conversion rate move?\u201d<\/p>\n\n\n\n

    Why Time to Complete Form Matters in Conversion & Measurement<\/h2>\n\n\n\n

    Time to Complete Form matters because forms are often the highest-leverage conversion step: they sit at the intersection of marketing intent, product value, trust, and user experience. In Conversion & Measurement<\/strong>, completion time provides a lens into friction that simple funnel counts can miss.<\/p>\n\n\n\n

    Key reasons it\u2019s strategically important:<\/p>\n\n\n\n

      \n
    • It exposes hidden friction.<\/strong> A form might have an acceptable conversion rate overall, but certain devices, browsers, or traffic sources may experience longer completion time and higher abandonment.<\/li>\n
    • It connects UX to revenue.<\/strong> Reducing Time to Complete Form often improves lead volume, lowers cost per lead, and speeds the path from click to CRM entry\u2014all critical in performance marketing.<\/li>\n
    • It improves forecasting and capacity planning.<\/strong> When completion time drops, conversion throughput can rise without increasing spend, which impacts sales team workload and pipeline predictability.<\/li>\n
    • It can create competitive advantage.<\/strong> In crowded categories, faster, clearer forms reduce the chance prospects bounce to competitors during moments of hesitation.<\/li>\n<\/ul>\n\n\n\n

      For CRO<\/strong>, this metric is especially useful when conversion rate changes are small or noisy. A meaningful reduction in Time to Complete Form can signal real improvement even before the business sees statistically significant conversion gains.<\/p>\n\n\n\n

      How Time to Complete Form Works<\/h2>\n\n\n\n

      Time to Complete Form is conceptually simple, but measurement requires clear definitions. In practice, teams implement it through a workflow that fits their tracking stack and governance.<\/p>\n\n\n\n

        \n
      1. \n

        Trigger (start time)<\/strong>\n – Start the timer when the user begins the form: first field focus, first input, or form interaction event.\n – Avoid starting the timer when the page loads; many users read first, scroll, or multitask.<\/p>\n<\/li>\n

      2. \n

        Processing (collect interaction data)<\/strong>\n – Track key milestones such as field completion, validation errors, and step transitions (for multi-step forms).\n – Segment by device, traffic source, geography, returning vs new users, and logged-in status to make the metric actionable in Conversion & Measurement<\/strong>.<\/p>\n<\/li>\n

      3. \n

        Execution (stop time and calculate)<\/strong>\n – Stop the timer on successful submission (server-side confirmation when possible).\n – Compute completion time using consistent rules (e.g., exclude idle periods beyond a threshold, or report both \u201craw\u201d and \u201cactive\u201d time).<\/p>\n<\/li>\n

      4. \n

        Outcome (interpretation and action)<\/strong>\n – Use Time to Complete Form alongside conversion rate, error rate, and abandonment to prioritize CRO<\/strong> experiments.\n – Validate improvements by comparing distributions (median, percentiles), not just averages.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

        Key Components of Time to Complete Form<\/h2>\n\n\n\n

        A useful Time to Complete Form program depends on more than one number. The strongest implementations combine measurement rigor, UX insight, and operational ownership.<\/p>\n\n\n\n

        Data inputs and instrumentation<\/h3>\n\n\n\n
          \n
        • Start and submit events<\/strong> with stable definitions<\/li>\n
        • Field-level interaction events<\/strong> (optional but powerful)<\/li>\n
        • Validation error events<\/strong> and error messages shown<\/li>\n
        • Step timing<\/strong> for multi-step forms<\/li>\n<\/ul>\n\n\n\n

          Metrics and reporting<\/h3>\n\n\n\n
            \n
          • Median and percentile completion time (e.g., p50\/p75\/p90)<\/li>\n
          • Completion time by segment (device, source, campaign, landing page)<\/li>\n
          • Trend tracking before\/after releases<\/li>\n<\/ul>\n\n\n\n

            Processes and governance<\/h3>\n\n\n\n
              \n
            • A shared event taxonomy in the analytics plan<\/li>\n
            • QA and monitoring to catch broken events<\/li>\n
            • A release process where form changes include measurement checks<\/li>\n<\/ul>\n\n\n\n

              Team responsibilities<\/h3>\n\n\n\n
                \n
              • Marketing\/growth: funnel outcomes and campaign implications in Conversion & Measurement<\/strong><\/li>\n
              • Product\/UX: form design, flow, accessibility<\/li>\n
              • Engineering: performance, validation logic, tracking accuracy<\/li>\n
              • Analytics: definition consistency and experimentation support for CRO<\/strong><\/li>\n<\/ul>\n\n\n\n

                Types of Time to Complete Form (Practical Distinctions)<\/h2>\n\n\n\n

                Time to Complete Form doesn\u2019t have strict \u201cformal types,\u201d but it\u2019s commonly measured and interpreted in several useful ways:<\/p>\n\n\n\n

                1) Single-step vs multi-step completion time<\/h3>\n\n\n\n
                  \n
                • Single-step forms<\/strong>: one page; timing is straightforward.<\/li>\n
                • Multi-step forms<\/strong>: you can measure total time plus step-by-step timing to locate drop-offs and friction points for CRO<\/strong>.<\/li>\n<\/ul>\n\n\n\n

                  2) Raw time vs active time<\/h3>\n\n\n\n
                    \n
                  • Raw time<\/strong> includes idle time (user pauses, switches tabs).<\/li>\n
                  • Active time<\/strong> excludes long inactivity windows (e.g., remove gaps > 30\u201360 seconds) to better reflect form difficulty.<\/li>\n<\/ul>\n\n\n\n

                    3) Client-side vs server-confirmed submission time<\/h3>\n\n\n\n
                      \n
                    • Client-side<\/strong> is easier to implement but can miscount if submission fails.<\/li>\n
                    • Server-confirmed<\/strong> is more accurate for Conversion & Measurement<\/strong>, especially for high-stakes forms like checkout or applications.<\/li>\n<\/ul>\n\n\n\n

                      4) Anonymous vs prefilled (known user) time<\/h3>\n\n\n\n

                      Known users with prefilled fields often complete faster; separating these groups prevents misleading benchmarks.<\/p>\n\n\n\n

                      Real-World Examples of Time to Complete Form<\/h2>\n\n\n\n

                      Example 1: B2B lead gen form for a demo request<\/h3>\n\n\n\n

                      A SaaS company sees stable conversion rate but rising cost per lead. Time to Complete Form reveals mobile users take 2\u00d7 longer than desktop and abandon more often. A CRO<\/strong> review finds the phone number field forces a format that breaks on some mobile keyboards, creating repeated validation errors. After adjusting the input type and error messaging, Time to Complete Form drops and lead submissions increase without changing ad spend\u2014an immediate Conversion & Measurement<\/strong> win.<\/p>\n\n\n\n

                      Example 2: Ecommerce checkout address form<\/h3>\n\n\n\n

                      An online retailer measures Time to Complete Form for shipping details and finds international customers take significantly longer. Investigation shows the \u201cState\u201d field is required even when \u201cCountry\u201d is not the U.S. Updating dynamic logic (state only required for applicable countries) reduces completion time and prevents downstream support issues\u2014improving both conversion and customer experience, which strengthens CRO<\/strong> outcomes.<\/p>\n\n\n\n

                      Example 3: Event registration with multi-step flow<\/h3>\n\n\n\n

                      A conference organizer uses a two-step form (attendee details \u2192 payment). Total Time to Complete Form looks fine, but step timing shows users stall on the \u201cJob Title\u201d field due to unclear options. Replacing a long dropdown with autocomplete and allowing \u201cOther\u201d reduces step time and improves completion rates. This is a targeted Conversion & Measurement<\/strong> optimization informed by granular timing.<\/p>\n\n\n\n

                      Benefits of Using Time to Complete Form<\/h2>\n\n\n\n

                      Measuring and improving Time to Complete Form can deliver multiple compounding benefits:<\/p>\n\n\n\n

                        \n
                      • Higher conversion rates through lower friction.<\/strong> Shorter, clearer completion experiences typically reduce abandonment\u2014one of the most direct levers in CRO<\/strong>.<\/li>\n
                      • Lower acquisition costs.<\/strong> If more visitors complete the same form, you often need fewer paid clicks to reach the same lead volume, improving performance in Conversion & Measurement<\/strong>.<\/li>\n
                      • Better lead quality signals.<\/strong> Completion time can be segmented to detect patterns (e.g., suspiciously fast submissions might correlate with bots or low-quality leads).<\/li>\n
                      • Faster funnel velocity.<\/strong> Shorter forms can accelerate the path from click to CRM, improving follow-up timing.<\/li>\n
                      • Improved UX and accessibility.<\/strong> Many time sinks come from unclear labels, poor error handling, or non-inclusive design; fixing them helps all users.<\/li>\n<\/ul>\n\n\n\n

                        Challenges of Time to Complete Form<\/h2>\n\n\n\n

                        Time to Complete Form is valuable, but it has pitfalls that teams should plan for.<\/p>\n\n\n\n

                          \n
                        • Ambiguous start definitions.<\/strong> Starting the timer on page load inflates time and reduces insight. Inconsistent event definitions make comparisons unreliable in Conversion & Measurement<\/strong>.<\/li>\n
                        • Idle time distortions.<\/strong> Users may pause to find information, switch devices, or get distracted. Without careful reporting (medians\/percentiles), averages can mislead.<\/li>\n
                        • Multi-tab and cross-device behavior.<\/strong> Some users open a form, leave, and return later. Decide whether your metric should capture that experience or focus on active completion.<\/li>\n
                        • Bot traffic and spam.<\/strong> Automated submissions can look \u201ctoo fast,\u201d skewing distributions and interfering with CRO<\/strong> analysis.<\/li>\n
                        • Privacy and consent constraints.<\/strong> Some jurisdictions and consent modes may limit tracking granularity. You may need aggregated or modeled measurement within Conversion & Measurement<\/strong> frameworks.<\/li>\n
                        • Implementation complexity.<\/strong> Field-level instrumentation can be time-consuming and may introduce performance overhead if done poorly.<\/li>\n<\/ul>\n\n\n\n

                          Best Practices for Time to Complete Form<\/h2>\n\n\n\n

                          These practices make Time to Complete Form dependable and actionable for CRO<\/strong> and Conversion & Measurement<\/strong> teams.<\/p>\n\n\n\n

                          Define the metric precisely<\/h3>\n\n\n\n
                            \n
                          • Start on first field focus<\/strong> or first input<\/strong>, not page load.<\/li>\n
                          • End on successful submission<\/strong> (prefer server-confirmed when possible).<\/li>\n
                          • Document rules for idle time (e.g., report both raw and active time).<\/li>\n<\/ul>\n\n\n\n

                            Report distributions, not just averages<\/h3>\n\n\n\n
                              \n
                            • Prioritize median<\/strong> and p75\/p90<\/strong> to see long-tail friction.<\/li>\n
                            • Track trends over time and annotate releases and experiments.<\/li>\n<\/ul>\n\n\n\n

                              Segment to find causes<\/h3>\n\n\n\n
                                \n
                              • Device, browser, OS, viewport<\/li>\n
                              • Source\/medium and campaign intent<\/li>\n
                              • New vs returning visitors; logged-in vs anonymous<\/li>\n
                              • Geography and language<\/li>\n<\/ul>\n\n\n\n

                                Optimize the form experience systematically<\/h3>\n\n\n\n
                                  \n
                                • Remove unnecessary fields; justify each one with a downstream use case.<\/li>\n
                                • Use autofill-friendly attributes and sensible input types.<\/li>\n
                                • Provide clear labels, examples, and inline help where confusion is common.<\/li>\n
                                • Reduce validation pain: inline validation, specific error messages, preserve user input on errors.<\/li>\n
                                • Consider multi-step forms when perceived effort matters, but measure step timing to ensure it helps.<\/li>\n<\/ul>\n\n\n\n

                                  Pair with experimentation<\/h3>\n\n\n\n

                                  In CRO<\/strong>, treat Time to Complete Form as both:\n– a diagnostic metric<\/strong> (where is friction?), and\n– a secondary success metric<\/strong> in A\/B tests (did the experience become easier?).<\/p>\n\n\n\n

                                  Tools Used for Time to Complete Form<\/h2>\n\n\n\n

                                  Time to Complete Form is measured and improved through a mix of tooling categories rather than one dedicated system.<\/p>\n\n\n\n

                                    \n
                                  • Analytics tools:<\/strong> Event tracking, funnels, segment reporting, and cohort analysis to operationalize Time to Complete Form within Conversion & Measurement<\/strong>.<\/li>\n
                                  • Tag management systems:<\/strong> Standardize and deploy start\/submit\/error events without repeated code releases.<\/li>\n
                                  • Product analytics and session analysis:<\/strong> Identify where users hesitate, rage-click, or repeatedly trigger validation errors; helpful for CRO<\/strong> diagnosis.<\/li>\n
                                  • Experimentation platforms:<\/strong> Run A\/B and multivariate tests on form layout, copy, steps, and validation behavior; use completion time as a supporting metric.<\/li>\n
                                  • CRM and marketing automation:<\/strong> Connect completion time segments to lead quality outcomes (SQL rate, churn, sales cycle length) to keep Conversion & Measurement<\/strong> grounded in business impact.<\/li>\n
                                  • Reporting dashboards and BI:<\/strong> Combine form timing with spend, pipeline, and revenue to evaluate trade-offs.<\/li>\n<\/ul>\n\n\n\n

                                    Metrics Related to Time to Complete Form<\/h2>\n\n\n\n

                                    Time to Complete Form becomes more powerful when evaluated alongside complementary metrics:<\/p>\n\n\n\n

                                      \n
                                    • Form conversion rate:<\/strong> The primary outcome; completion time explains why<\/em> it changes.<\/li>\n
                                    • Form abandonment rate:<\/strong> Starts vs submits; pairs naturally with Time to Complete Form in CRO<\/strong>.<\/li>\n
                                    • Validation error rate:<\/strong> Errors per session, per field, and per step; often the main driver of long completion time.<\/li>\n
                                    • Field drop-off rate:<\/strong> Where users stop interacting; indicates confusing or sensitive questions.<\/li>\n
                                    • Bounce rate \/ engagement metrics:<\/strong> Helps separate \u201cwrong traffic\u201d from \u201chard form\u201d issues in Conversion & Measurement<\/strong>.<\/li>\n
                                    • Lead quality metrics:<\/strong> MQL rate, SQL rate, close rate; ensures faster forms don\u2019t reduce downstream quality.<\/li>\n
                                    • Cost per lead \/ cost per acquisition:<\/strong> Measures monetary impact of improved completion time.<\/li>\n
                                    • Page performance (Core Web Vitals and input latency):<\/strong> Slow UI can inflate completion time and reduce trust.<\/li>\n<\/ul>\n\n\n\n

                                      Future Trends of Time to Complete Form<\/h2>\n\n\n\n

                                      Time to Complete Form is evolving as measurement expectations and user experiences change.<\/p>\n\n\n\n

                                        \n
                                      • AI-assisted form completion:<\/strong> Predictive autofill, smart defaults, and conversational interfaces can reduce time dramatically, but must be monitored for accuracy and bias in Conversion & Measurement<\/strong>.<\/li>\n
                                      • Personalization and progressive profiling:<\/strong> Instead of asking everything upfront, teams will increasingly collect data over multiple interactions, lowering Time to Complete Form while supporting CRO<\/strong> and lifecycle marketing.<\/li>\n
                                      • Privacy-driven measurement shifts:<\/strong> Consent limitations will push more reliance on aggregated reporting and server-side event validation, changing how Time to Complete Form is captured.<\/li>\n
                                      • Accessibility and inclusive design standards:<\/strong> Better accessibility reduces completion time for more users; organizations will treat it as both compliance and performance.<\/li>\n
                                      • Fraud and bot resilience:<\/strong> As automation increases, distinguishing genuine \u201cfast completions\u201d from bots will matter more for trustworthy Conversion & Measurement<\/strong>.<\/li>\n<\/ul>\n\n\n\n

                                        Time to Complete Form vs Related Terms<\/h2>\n\n\n\n

                                        Time to Complete Form vs Form Conversion Rate<\/h3>\n\n\n\n
                                          \n
                                        • Form conversion rate<\/strong> tells you how many<\/em> people submit.<\/li>\n
                                        • Time to Complete Form<\/strong> tells you how hard it feels<\/em> to submit.\nIn CRO<\/strong>, conversion rate is the scoreboard; completion time is a leading indicator of friction.<\/li>\n<\/ul>\n\n\n\n

                                          Time to Complete Form vs Time on Page<\/h3>\n\n\n\n
                                            \n
                                          • Time on page<\/strong> includes reading, scrolling, distractions, and non-form content.<\/li>\n
                                          • Time to Complete Form<\/strong> isolates the form interaction window.\nFor Conversion & Measurement<\/strong>, the form-specific metric is more actionable when optimizing submissions.<\/li>\n<\/ul>\n\n\n\n

                                            Time to Complete Form vs Drop-off\/Abandonment Rate<\/h3>\n\n\n\n
                                              \n
                                            • Abandonment rate<\/strong> shows where users quit.<\/li>\n
                                            • Time to Complete Form<\/strong> shows how long successful users need\u2014and often highlights near-abandonment friction.\nTogether they provide a fuller CRO<\/strong> diagnosis: \u201cwhere do they leave?\u201d plus \u201cwhat slows them down?\u201d<\/li>\n<\/ul>\n\n\n\n

                                              Who Should Learn Time to Complete Form<\/h2>\n\n\n\n
                                                \n
                                              • Marketers and growth teams:<\/strong> To connect landing page performance to real form friction and improve Conversion & Measurement<\/strong> outcomes.<\/li>\n
                                              • Analysts:<\/strong> To implement clean event definitions, build trustworthy dashboards, and interpret timing distributions for CRO<\/strong> testing.<\/li>\n
                                              • Agencies:<\/strong> To diagnose client lead-gen issues quickly and prove impact beyond vanity metrics.<\/li>\n
                                              • Business owners and founders:<\/strong> To spot revenue leaks in sign-up, demo, and checkout flows\u2014often the fastest path to growth.<\/li>\n
                                              • Developers and product teams:<\/strong> To improve validation logic, performance, accessibility, and instrumentation reliability.<\/li>\n<\/ul>\n\n\n\n

                                                Summary of Time to Complete Form<\/h2>\n\n\n\n

                                                Time to Complete Form<\/strong> measures how long users take to finish and submit a form after they begin interacting with it. In Conversion & Measurement<\/strong>, it reveals friction that conversion rate alone can\u2019t explain and helps teams segment problems by device, traffic source, or user type. In CRO<\/strong>, it supports better prioritization and stronger experiment evaluation by quantifying ease and efficiency, not just outcomes. When defined carefully and paired with related metrics, Time to Complete Form becomes an evergreen lever for improving user experience and conversion performance.<\/p>\n\n\n\n

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

                                                1) What is Time to Complete Form and how is it calculated?<\/h3>\n\n\n\n

                                                Time to Complete Form is the elapsed time between a user\u2019s first meaningful form interaction (such as first field focus or first input) and successful submission. The calculation is simply end time minus start time, with optional rules to handle long idle periods.<\/p>\n\n\n\n

                                                2) What\u2019s a good benchmark for Time to Complete Form?<\/h3>\n\n\n\n

                                                Benchmarks vary by industry, audience, and complexity. Instead of chasing a universal target, compare your form to its past performance and segment results (mobile vs desktop, paid vs organic) within your Conversion & Measurement<\/strong> reporting.<\/p>\n\n\n\n

                                                3) Should Time to Complete Form include idle time?<\/h3>\n\n\n\n

                                                It depends on the question you\u2019re trying to answer. Many teams report both: a raw metric (includes idle time) and an active metric (excludes long inactivity). In CRO<\/strong>, the active metric is often more diagnostic for form difficulty.<\/p>\n\n\n\n

                                                4) How do I use Time to Complete Form in CRO experiments?<\/h3>\n\n\n\n

                                                Use it as a secondary metric alongside conversion rate. If an experiment reduces Time to Complete Form meaningfully, it often indicates reduced friction\u2014even if conversion rate impact takes longer to show or needs more sample size.<\/p>\n\n\n\n

                                                5) Can a shorter Time to Complete Form hurt lead quality?<\/h3>\n\n\n\n

                                                Sometimes. If you remove qualifying questions, you may increase volume but reduce sales acceptance rates. The best Conversion & Measurement<\/strong> approach pairs completion time improvements with downstream quality metrics like SQL rate and close rate.<\/p>\n\n\n\n

                                                6) Why is Time to Complete Form higher on mobile?<\/h3>\n\n\n\n

                                                Common causes include small tap targets, poor keyboard\/input types, slow page performance, excessive scrolling, and strict validation. Segmenting Time to Complete Form by device is one of the fastest ways to uncover mobile-specific friction for CRO<\/strong>.<\/p>\n\n\n\n

                                                7) How do we avoid bots skewing Time to Complete Form?<\/h3>\n\n\n\n

                                                Filter known bot traffic, use server-side validation where possible, and watch for suspicious patterns like extremely fast completions with high error rates or low downstream quality. Keeping bot defenses aligned with measurement helps maintain trustworthy Conversion & Measurement<\/strong> insights.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                                Time to Complete Form is the amount of time a user takes to finish and submit a form after they begin interacting with it. In **Conversion & Measurement**, it\u2019s a diagnostic metric that helps teams understand friction in lead generation, checkout, sign-ups, demo requests, and any flow where a form is the gate to conversion. In **CRO**, it\u2019s one of the clearest signals that a form\u2019s design, wording, validation, and perceived effort may be helping\u2014or hurting\u2014conversion performance.<\/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":[1889],"tags":[],"class_list":["post-7202","post","type-post","status-publish","format-standard","hentry","category-cro"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/7202","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=7202"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/7202\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=7202"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=7202"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=7202"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}