{"id":10696,"date":"2026-03-29T19:35:30","date_gmt":"2026-03-29T19:35:30","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/completed-view\/"},"modified":"2026-03-29T19:35:30","modified_gmt":"2026-03-29T19:35:30","slug":"completed-view","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/completed-view\/","title":{"rendered":"Completed View: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Programmatic Advertising"},"content":{"rendered":"\n

In video-first advertising, not all impressions are equal. A Completed View<\/strong> represents a moment when a viewer watches a video ad through to the end (or to the defined \u201ccomplete\u201d point). In Paid Marketing<\/strong>, this is a powerful quality signal because it indicates the ad had enough opportunity\u2014and relevance\u2014to hold attention. In Programmatic Advertising<\/strong>, where buying decisions are automated and optimized at scale, a Completed View<\/strong> can act as both a measurement standard and an optimization goal.<\/p>\n\n\n\n

Why does this matter now? Because modern Paid Marketing<\/strong> teams are under pressure to prove impact beyond cheap reach. As budgets shift across social video, online video, and CTV-style placements, advertisers increasingly want outcomes that reflect real exposure\u2014not just delivery. Tracking and using Completed View<\/strong> data helps teams distinguish between \u201cserved\u201d and \u201cseen all the way through,\u201d improving both efficiency and creative effectiveness.<\/p>\n\n\n\n

\n\n\n\n

What Is Completed View?<\/h2>\n\n\n\n

A Completed View<\/strong> is typically counted when a video ad plays to 100% completion under the measurement rules of the platform or ad server. The core concept is simple: it\u2019s a completion event, not merely an impression.<\/p>\n\n\n\n

From a business perspective, a Completed View<\/strong> suggests higher message delivery quality. If a viewer finishes the ad, the brand has likely communicated its full value proposition, narrative, or call-to-action. That does not guarantee conversion, but it raises the probability that the ad was actually consumed.<\/p>\n\n\n\n

In Paid Marketing<\/strong>, Completed View<\/strong> is most commonly used to evaluate and optimize video campaigns\u2014especially awareness, consideration, and upper-funnel initiatives where the objective is attention and message retention rather than immediate clicks.<\/p>\n\n\n\n

Within Programmatic Advertising<\/strong>, Completed View<\/strong> becomes part of the feedback loop used by DSPs and bidding algorithms. Buyers can optimize toward inventory, audiences, and contexts that produce more completions\u2014often a better proxy for quality than CTR alone for video.<\/p>\n\n\n\n

\n\n\n\n

Why Completed View Matters in Paid Marketing<\/h2>\n\n\n\n

A Completed View<\/strong> matters because it tightens the connection between spend and genuine exposure. In Paid Marketing<\/strong>, it helps teams answer: \u201cDid people actually watch our ad, or did it disappear in a scroll?\u201d<\/p>\n\n\n\n

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

    \n
  • Quality control for video reach:<\/strong> Completion-based evaluation reduces overreliance on cheap impressions that never deliver the message.<\/li>\n
  • Creative accountability:<\/strong> If completion rates are low, that can point to creative fatigue, weak hooks, poor pacing, or mismatched targeting.<\/li>\n
  • Better optimization signals:<\/strong> In Programmatic Advertising<\/strong>, completion events can guide bidding toward placements that hold attention, not just generate volume.<\/li>\n
  • Competitive advantage:<\/strong> Brands that optimize to Completed View<\/strong> often learn faster which audiences, contexts, and creative formats produce real engagement\u2014leading to better media efficiency over time.<\/li>\n<\/ul>\n\n\n\n

    Ultimately, a strong Completed View<\/strong> rate can support brand-lift outcomes (awareness, recall, favorability) while helping reduce wasted spend.<\/p>\n\n\n\n

    \n\n\n\n

    How Completed View Works<\/h2>\n\n\n\n

    A Completed View<\/strong> is measured through a chain of events and tracking rules. While implementations differ by platform, the practical workflow usually looks like this:<\/p>\n\n\n\n

      \n
    1. \n

      Input or trigger (ad opportunity and playback start)<\/strong>\n A video ad is served through an ad server or bought via Programmatic Advertising<\/strong>. Playback begins (autoplay or user-initiated), and tracking starts.<\/p>\n<\/li>\n

    2. \n

      Analysis or processing (viewability, playback milestones, validation)<\/strong>\n Measurement code or SDKs track whether the video is progressing and log milestones (often quartiles: 25%, 50%, 75%, 100%). Some environments also evaluate viewability thresholds and detect invalid traffic.<\/p>\n<\/li>\n

    3. \n

      Execution or application (counting the completion event)<\/strong>\n When the video reaches the defined completion point, a completion event is fired. Depending on rules, this may require:\n – 100% playback\n – minimum on-screen time\n – audibility conditions (in some reporting setups)\n – valid, non-fraudulent conditions<\/p>\n<\/li>\n

    4. \n

      Output or outcome (reporting and optimization)<\/strong>\n The Completed View<\/strong> is recorded in reporting dashboards. In Paid Marketing<\/strong> operations, teams use it to:\n – optimize toward higher-completion placements\n – compare creative performance\n – inform frequency and sequencing strategies\n – assess cost per completed view efficiency<\/p>\n<\/li>\n<\/ol>\n\n\n\n

      This is why definitions matter: if one report counts any \u201ccompletion\u201d regardless of viewability, and another counts only \u201cviewable completed,\u201d you can reach very different conclusions.<\/p>\n\n\n\n

      \n\n\n\n

      Key Components of Completed View<\/h2>\n\n\n\n

      To use Completed View<\/strong> effectively in Paid Marketing<\/strong> and Programmatic Advertising<\/strong>, you need more than a single metric. The most important components include:<\/p>\n\n\n\n

      Measurement and tracking layer<\/h3>\n\n\n\n
        \n
      • Ad tags \/ SDK instrumentation:<\/strong> Captures playback progress and completion events.<\/li>\n
      • Video milestone tracking:<\/strong> Quartiles or custom events (e.g., 10 seconds, 15 seconds, 30 seconds).<\/li>\n
      • Viewability measurement (when applicable):<\/strong> Helps determine whether completion occurred while the ad was actually on screen.<\/li>\n<\/ul>\n\n\n\n

        Media systems and workflow<\/h3>\n\n\n\n
          \n
        • DSP and inventory controls:<\/strong> Placement selection, brand safety settings, frequency caps, and bid strategies.<\/li>\n
        • Ad server logs and reconciliation:<\/strong> Ensures consistent counting across systems (critical for reporting accuracy).<\/li>\n
        • Creative QA process:<\/strong> Verifies that tracking fires correctly and that skippable\/interactive behavior is captured.<\/li>\n<\/ul>\n\n\n\n

          Governance and ownership<\/h3>\n\n\n\n
            \n
          • Clear metric definitions:<\/strong> A shared definition of Completed View<\/strong> across teams and partners.<\/li>\n
          • Data stewardship:<\/strong> Analysts validate anomalies (e.g., unusually high completion with low viewability).<\/li>\n
          • Decision rules:<\/strong> How completions influence budget shifts, creative rotation, and targeting updates.<\/li>\n<\/ul>\n\n\n\n
            \n\n\n\n

            Types of Completed View<\/h2>\n\n\n\n

            \u201cTypes\u201d of Completed View<\/strong> often show up as practical distinctions rather than universally standardized categories. The most useful ways to segment completions include:<\/p>\n\n\n\n

            Completion standard: 100% vs milestone-based<\/h3>\n\n\n\n
              \n
            • 100% Completed View:<\/strong> The video reaches the end.<\/li>\n
            • Milestone completion proxies:<\/strong> Some teams use 75% completion or a minimum seconds-watched threshold for longer videos, especially when \u201ccompletion\u201d is rare for 60\u201390 second assets.<\/li>\n<\/ul>\n\n\n\n

              Viewability-qualified vs unqualified completion<\/h3>\n\n\n\n
                \n
              • Completed View (unqualified):<\/strong> Completion event fired regardless of whether the ad was viewable the whole time.<\/li>\n
              • Viewable completed view (stricter):<\/strong> Completion counted only when viewability criteria are met (helps reduce misleading \u201cbackground\u201d plays).<\/li>\n<\/ul>\n\n\n\n

                Format-driven completion contexts<\/h3>\n\n\n\n
                  \n
                • Skippable video:<\/strong> Completions are a strong signal because the viewer chose not to skip.<\/li>\n
                • Non-skippable video:<\/strong> Completions may reflect forced exposure; useful, but interpret alongside brand outcomes and frequency.<\/li>\n<\/ul>\n\n\n\n

                  These distinctions help keep Paid Marketing<\/strong> decisions grounded in how viewers actually experienced the ad.<\/p>\n\n\n\n

                  \n\n\n\n

                  Real-World Examples of Completed View<\/h2>\n\n\n\n

                  Example 1: Prospecting video campaign optimized for quality inventory<\/h3>\n\n\n\n

                  A DTC brand runs a prospecting campaign via Programmatic Advertising<\/strong> using 15-second videos. Early reporting shows high reach but low Completed View<\/strong> rate on certain app placements. The team excludes low-quality inventory, adds viewability thresholds, and shifts budget toward placements with stronger completion. The result: fewer impressions, but higher Completed View<\/strong> volume and more consistent lift in branded search.<\/p>\n\n\n\n

                  Example 2: Creative A\/B test using completion as the first filter<\/h3>\n\n\n\n

                  A SaaS marketer tests two versions of a 30-second explainer in Paid Marketing<\/strong>. Version A has a strong hook in the first 3 seconds; Version B is slower. CTR is similar, but Version A drives substantially more Completed View<\/strong> events and better post-view site engagement. The team rolls out Version A broadly and uses the learning to tighten future scripts.<\/p>\n\n\n\n

                  Example 3: Sequential messaging where completion controls the next step<\/h3>\n\n\n\n

                  An agency builds a funnel in Programmatic Advertising<\/strong>: only users who generated a Completed View<\/strong> on the first video become eligible for a second, product-specific video. This reduces wasted frequency and makes the second impression more relevant, improving downstream conversion rates compared with a non-sequenced approach.<\/p>\n\n\n\n

                  \n\n\n\n

                  Benefits of Using Completed View<\/h2>\n\n\n\n

                  Using Completed View<\/strong> as a KPI (or a supporting KPI) can deliver tangible improvements:<\/p>\n\n\n\n

                    \n
                  • Performance improvements:<\/strong> Better alignment between video delivery and true message exposure.<\/li>\n
                  • Cost efficiency:<\/strong> Optimization often reduces spend on placements that inflate impressions without attention.<\/li>\n
                  • Creative insights:<\/strong> Completion patterns reveal whether the opening, pacing, and length match the audience and context.<\/li>\n
                  • Audience experience benefits:<\/strong> Completion-based sequencing can reduce irrelevant repetition in Paid Marketing<\/strong>, leading to less annoyance and better brand perception.<\/li>\n<\/ul>\n\n\n\n

                    In Programmatic Advertising<\/strong>, where small optimizations compound, completion signals can materially improve long-term media quality.<\/p>\n\n\n\n

                    \n\n\n\n

                    Challenges of Completed View<\/h2>\n\n\n\n

                    A Completed View<\/strong> is useful, but it has limitations that teams must manage:<\/p>\n\n\n\n

                      \n
                    • Inconsistent definitions across platforms:<\/strong> One platform\u2019s completion may not match another\u2019s counting rules.<\/li>\n
                    • Viewability and autoplay complexity:<\/strong> Some completions occur while the ad is technically playing but not meaningfully watched.<\/li>\n
                    • Fraud and invalid traffic:<\/strong> Bots can inflate video metrics; completion should be evaluated alongside fraud detection and quality controls.<\/li>\n
                    • Creative-length bias:<\/strong> Shorter ads naturally achieve more completions; comparing a 6-second bumper to a 30-second explainer without normalization is misleading.<\/li>\n
                    • Over-optimization risk:<\/strong> Chasing Completed View<\/strong> alone can push buying toward \u201ceasy completion\u201d environments rather than environments that drive business outcomes.<\/li>\n<\/ul>\n\n\n\n

                      The best Paid Marketing<\/strong> strategies treat completion as a quality indicator\u2014not the only goal.<\/p>\n\n\n\n

                      \n\n\n\n

                      Best Practices for Completed View<\/h2>\n\n\n\n

                      To make Completed View<\/strong> actionable in Paid Marketing<\/strong> and Programmatic Advertising<\/strong>, apply these practices:<\/p>\n\n\n\n

                        \n
                      1. \n

                        Define completion clearly in your measurement plan<\/strong>\n State whether you mean 100% completion, viewable completion, or a milestone threshold for long-form creative.<\/p>\n<\/li>\n

                      2. \n

                        Use completion alongside viewability and attention-adjacent signals<\/strong>\n A high Completed View<\/strong> rate with low viewability is a red flag. Pair completion with viewability rate, invalid traffic rate, and placement transparency.<\/p>\n<\/li>\n

                      3. \n

                        Normalize comparisons by creative length and format<\/strong>\n Report completion rate by video length (6s\/15s\/30s) and by skippable vs non-skippable to avoid false conclusions.<\/p>\n<\/li>\n

                      4. \n

                        Optimize in layers<\/strong>\n – First: remove obvious low-quality placements\n – Second: adjust bidding\/targeting to lift Completed View<\/strong>\n – Third: refine creative based on drop-off points<\/p>\n<\/li>\n

                      5. \n

                        Use quartile reporting to diagnose drop-off<\/strong>\n If 25% is strong but 75% collapses, your mid-creative pacing or message clarity may be the issue.<\/p>\n<\/li>\n

                      6. \n

                        Tie completion to business outcomes<\/strong>\n Validate that higher Completed View<\/strong> volume correlates with lift in brand search, site engagement, lead quality, or conversions\u2014depending on your objective.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                        \n\n\n\n

                        Tools Used for Completed View<\/h2>\n\n\n\n

                        While Completed View<\/strong> is a metric, it depends on an ecosystem of tools\u2014especially in Programmatic Advertising<\/strong>:<\/p>\n\n\n\n

                          \n
                        • Ad platforms and DSPs:<\/strong> Provide bidding controls, inventory filters, and reporting on video completion.<\/li>\n
                        • Ad servers:<\/strong> Centralize delivery and event tracking, supporting consistent reporting across buys.<\/li>\n
                        • Verification and measurement tools:<\/strong> Evaluate viewability, brand safety, and invalid traffic\u2014critical context for interpreting Completed View<\/strong>.<\/li>\n
                        • Analytics tools:<\/strong> Connect completion performance to on-site behavior, cohorts, and conversion paths.<\/li>\n
                        • Reporting dashboards \/ BI:<\/strong> Blend data sources (ad server + DSP + analytics) for unified Paid Marketing<\/strong> decision-making.<\/li>\n
                        • CRM systems (where relevant):<\/strong> Help connect completion-driven audiences to downstream funnel metrics like MQLs, SQLs, or retention.<\/li>\n<\/ul>\n\n\n\n

                          The \u201cbest tool\u201d is less important than consistent definitions, clean instrumentation, and a repeatable reporting workflow.<\/p>\n\n\n\n

                          \n\n\n\n

                          Metrics Related to Completed View<\/h2>\n\n\n\n

                          A Completed View<\/strong> rarely stands alone. Common companion metrics include:<\/p>\n\n\n\n

                            \n
                          • Video completion rate (VCR):<\/strong> Completed views divided by video starts (or impressions, depending on definition).<\/li>\n
                          • Cost per completed view:<\/strong> Spend divided by Completed View<\/strong> count; useful for budgeting and efficiency.<\/li>\n
                          • Quartile rates (25\/50\/75\/100):<\/strong> Diagnoses where attention drops.<\/li>\n
                          • Viewability rate:<\/strong> Indicates whether the ad had a chance to be seen; crucial in Programmatic Advertising<\/strong>.<\/li>\n
                          • Invalid traffic (IVT) rate \/ fraud indicators:<\/strong> Helps validate completion quality.<\/li>\n
                          • Frequency and reach:<\/strong> High completion can be undermined by excessive repetition in Paid Marketing<\/strong>.<\/li>\n
                          • Post-view engagement metrics:<\/strong> Time on site, pages per session, micro-conversions\u2014useful for validating completion as a meaningful exposure.<\/li>\n<\/ul>\n\n\n\n
                            \n\n\n\n

                            Future Trends of Completed View<\/h2>\n\n\n\n

                            Several trends are shaping how Completed View<\/strong> is used in Paid Marketing<\/strong>:<\/p>\n\n\n\n

                              \n
                            • AI-driven optimization:<\/strong> Algorithms will increasingly optimize toward higher-quality attention proxies, with completion as a baseline input.<\/li>\n
                            • Attention and outcome hybrid models:<\/strong> Teams are blending Completed View<\/strong> with signals like viewability duration, screen share, and brand lift to avoid optimizing for \u201cempty completions.\u201d<\/li>\n
                            • CTV and cross-device measurement:<\/strong> As connected TV and streaming inventory grows, completion remains important, but measurement and attribution differ from web\/mobile.<\/li>\n
                            • Privacy-driven measurement changes:<\/strong> Reduced user-level tracking increases emphasis on aggregated signals\u2014making Completed View<\/strong> more valuable as a campaign health indicator.<\/li>\n
                            • More stringent quality standards:<\/strong> Expect greater focus on viewable completion, invalid-traffic controls, and transparent supply paths in Programmatic Advertising<\/strong>.<\/li>\n<\/ul>\n\n\n\n
                              \n\n\n\n

                              Completed View vs Related Terms<\/h2>\n\n\n\n

                              Understanding nearby terms prevents reporting confusion:<\/p>\n\n\n\n

                              Completed View vs Viewable Impression<\/h3>\n\n\n\n

                              A viewable impression measures whether an ad met minimum on-screen criteria. A Completed View<\/strong> measures whether the video reached completion. You can have a viewable impression without completion, and (in some setups) completion without strong viewability\u2014so they should be analyzed together.<\/p>\n\n\n\n

                              Completed View vs Video Completion Rate (VCR)<\/h3>\n\n\n\n

                              A Completed View<\/strong> is a count. VCR is a rate derived from that count (e.g., completed views divided by starts). In Paid Marketing<\/strong>, VCR is better for comparisons across budgets and time periods.<\/p>\n\n\n\n

                              Completed View vs View-Through Conversion (VTC)<\/h3>\n\n\n\n

                              A view-through conversion attributes a conversion to an ad view without a click. Completed View<\/strong> measures exposure completion, not conversion. In Programmatic Advertising<\/strong>, you might use completion to qualify audiences and VTC to evaluate downstream impact\u2014while being careful about attribution windows and incrementality.<\/p>\n\n\n\n

                              \n\n\n\n

                              Who Should Learn Completed View<\/h2>\n\n\n\n

                              Completed View<\/strong> is relevant across roles because it sits at the intersection of creative, media quality, and measurement:<\/p>\n\n\n\n

                                \n
                              • Marketers:<\/strong> Use it to judge whether video spend is delivering real message exposure in Paid Marketing<\/strong>.<\/li>\n
                              • Analysts:<\/strong> Need it to build trustworthy reporting, normalize by format\/length, and connect completions to outcomes.<\/li>\n
                              • Agencies:<\/strong> Rely on it to optimize Programmatic Advertising<\/strong> buys, justify budget allocations, and guide creative improvements.<\/li>\n
                              • Business owners and founders:<\/strong> Benefit from understanding what video metrics actually mean before scaling spend.<\/li>\n
                              • Developers and ad ops teams:<\/strong> Implement tags\/SDKs, troubleshoot tracking, and ensure completion events are reliable across environments.<\/li>\n<\/ul>\n\n\n\n
                                \n\n\n\n

                                Summary of Completed View<\/h2>\n\n\n\n

                                A Completed View<\/strong> records when a video ad plays through to completion under defined measurement rules. It matters because it\u2019s a stronger indicator of message delivery quality than impressions alone. In Paid Marketing<\/strong>, it helps teams evaluate creative effectiveness, reduce wasted spend, and improve video strategy. In Programmatic Advertising<\/strong>, it becomes a practical optimization signal that can guide bidding toward higher-quality inventory and more engaged audiences\u2014especially when paired with viewability and fraud controls.<\/p>\n\n\n\n

                                \n\n\n\n

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

                                1) What does \u201cCompleted View\u201d mean in video advertising?<\/h3>\n\n\n\n

                                A Completed View<\/strong> generally means the video ad reached 100% playback completion (or the platform\u2019s defined \u201ccomplete\u201d event). It indicates the ad was played all the way through, not merely served.<\/p>\n\n\n\n

                                2) Is Completed View a good KPI for Paid Marketing?<\/h3>\n\n\n\n

                                Yes\u2014especially for video awareness and consideration campaigns. In Paid Marketing<\/strong>, it\u2019s most useful when combined with viewability, cost per completed view, and business outcomes so you don\u2019t optimize for completion alone.<\/p>\n\n\n\n

                                3) How is Completed View used in Programmatic Advertising optimization?<\/h3>\n\n\n\n

                                In Programmatic Advertising<\/strong>, completion events can be used to adjust bids, exclude weak placements, and identify audiences or contexts that consistently generate higher-quality video exposure.<\/p>\n\n\n\n

                                4) What\u2019s the difference between Completed View and video completion rate?<\/h3>\n\n\n\n

                                A Completed View<\/strong> is a total count of completions. Video completion rate is a percentage (completions divided by starts or impressions, depending on the definition) and is better for comparing performance across campaigns.<\/p>\n\n\n\n

                                5) Do non-skippable ads inflate Completed View results?<\/h3>\n\n\n\n

                                They can. Non-skippable formats often produce higher Completed View<\/strong> counts because viewers are forced to watch. Interpret results alongside frequency, brand lift, and placement quality to ensure the exposure is valuable.<\/p>\n\n\n\n

                                6) Can Completed View be affected by fraud or invalid traffic?<\/h3>\n\n\n\n

                                Yes. Bots and low-quality inventory can inflate video metrics. That\u2019s why Completed View<\/strong> should be evaluated with invalid-traffic detection, brand safety controls, and viewability data.<\/p>\n\n\n\n

                                7) What\u2019s a reasonable Completed View benchmark?<\/h3>\n\n\n\n

                                Benchmarks vary widely by format (6s vs 30s), skippability, device, and placement type. Instead of chasing a universal number, compare performance across your own campaigns, normalize by length, and track improvements over time within your Paid Marketing<\/strong> mix.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                In video-first advertising, not all impressions are equal. A **Completed View** represents a moment when a viewer watches a video ad through to the end (or to the defined \u201ccomplete\u201d point). In **Paid Marketing**, this is a powerful quality signal because it indicates the ad had enough opportunity\u2014and relevance\u2014to hold attention. In **Programmatic Advertising**, where buying decisions are automated and optimized at scale, a **Completed View** can act as both a measurement standard and an optimization goal.<\/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":[1911],"tags":[],"class_list":["post-10696","post","type-post","status-publish","format-standard","hentry","category-programmatic-advertising"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/10696","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=10696"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/10696\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=10696"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=10696"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=10696"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}