{"id":10162,"date":"2026-03-28T23:57:10","date_gmt":"2026-03-28T23:57:10","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/video-marketing-experiment\/"},"modified":"2026-03-28T23:57:10","modified_gmt":"2026-03-28T23:57:10","slug":"video-marketing-experiment","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/video-marketing-experiment\/","title":{"rendered":"Video Marketing Experiment: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Video Marketing"},"content":{"rendered":"\n

A Video Marketing Experiment<\/strong> is a structured, measurable test you run to improve results from Video Marketing<\/strong>\u2014especially when your growth depends on Organic Marketing<\/strong> channels like search, social, community, email lists, and your own website. Instead of guessing which hook, thumbnail, format, or storyline will perform best, you create a hypothesis, change a specific variable, measure outcomes, and learn what reliably moves key metrics.<\/p>\n\n\n\n

This matters because modern Organic Marketing<\/strong> is crowded and algorithm-sensitive. Small improvements in audience retention, click-through rate, and content relevance can compound over time, lifting rankings, recommendations, and brand trust. A well-run Video Marketing Experiment<\/strong> turns creative work into a repeatable system: you keep the creativity, but you add discipline, measurement, and decision-making that scales.<\/p>\n\n\n\n

What Is Video Marketing Experiment?<\/h2>\n\n\n\n

A Video Marketing Experiment<\/strong> is a controlled test designed to determine how a specific change in a video (or in how it\u2019s published and distributed) affects measurable performance. The goal is learning that leads to better outcomes\u2014more qualified traffic, higher engagement, more conversions, and stronger brand impact.<\/p>\n\n\n\n

At its core, the concept is simple:<\/p>\n\n\n\n

    \n
  • Hypothesis:<\/strong> \u201cIf we change X, then Y will improve because Z.\u201d<\/li>\n
  • Change one main variable:<\/strong> such as the first 5 seconds, title phrasing, video length, or CTA placement.<\/li>\n
  • Measure the effect:<\/strong> using defined metrics and a consistent observation window.<\/li>\n
  • Decide and document:<\/strong> adopt, iterate, or discard based on evidence.<\/li>\n<\/ul>\n\n\n\n

    The business meaning is deeper than \u201ctesting content.\u201d A Video Marketing Experiment<\/strong> reduces risk in Video Marketing<\/strong> by replacing opinion-based debates with data. It also helps teams prioritize what to produce next, how to position it, and which distribution tactics actually support Organic Marketing<\/strong> goals like sustainable reach and compounding visibility.<\/p>\n\n\n\n

    Within Organic Marketing<\/strong>, experimentation is how you create durable growth: you refine what attracts attention, what earns watch time, and what drives action\u2014without relying on paid spend. Inside Video Marketing<\/strong>, experimentation connects creative decisions (hooks, stories, editing) to measurable results (retention, clicks, conversions).<\/p>\n\n\n\n

    Why Video Marketing Experiment Matters in Organic Marketing<\/h2>\n\n\n\n

    In Organic Marketing<\/strong>, you don\u2019t control distribution the way you do with ads\u2014you earn it. A Video Marketing Experiment<\/strong> helps you earn more reach by aligning with how audiences and algorithms respond to quality signals.<\/p>\n\n\n\n

    Strategically, it matters because:<\/p>\n\n\n\n

      \n
    • Algorithms reward viewer satisfaction.<\/strong> Retention, engagement, and repeat views are strong signals across major video ecosystems. Experiments let you systematically increase those signals.<\/li>\n
    • Content libraries compound.<\/strong> Improvements you discover can be reused across dozens of videos, raising baseline performance over time.<\/li>\n
    • Audience expectations evolve.<\/strong> A testing cadence helps you adapt to new formats, attention spans, and viewing behaviors without reworking your entire strategy.<\/li>\n<\/ul>\n\n\n\n

      Business value shows up in practical outcomes:<\/p>\n\n\n\n

        \n
      • Higher click-through from impressions (better titles\/thumbnails where relevant)<\/li>\n
      • Higher watch time and completion rates (stronger hooks and pacing)<\/li>\n
      • More qualified site visits and leads (clear CTAs and better intent matching)<\/li>\n
      • Better content ROI (fewer videos that miss the mark)<\/li>\n<\/ul>\n\n\n\n

        Competitive advantage comes from speed of learning. Brands that run consistent Video Marketing Experiment<\/strong> cycles learn faster than competitors who rely on instincts alone\u2014and that advantage compounds within Organic Marketing<\/strong>.<\/p>\n\n\n\n

        How Video Marketing Experiment Works<\/h2>\n\n\n\n

        A Video Marketing Experiment<\/strong> is both a mindset and a workflow. In practice, it usually follows a loop:<\/p>\n\n\n\n

          \n
        1. \n

          Input \/ trigger (opportunity detection)<\/strong>\n You notice a performance issue or opportunity: low retention in the first 10 seconds, strong views but weak conversions, inconsistent engagement across topics, or a new content format trend. In Organic Marketing<\/strong>, triggers often come from analytics patterns, search queries, comments, and sales questions.<\/p>\n<\/li>\n

        2. \n

          Analysis \/ hypothesis formation<\/strong>\n You translate the observation into a testable hypothesis. Example: \u201cIf we open with the outcome first, average view duration will increase because viewers understand the value immediately.\u201d<\/p>\n<\/li>\n

        3. \n

          Execution \/ controlled change<\/strong>\n You publish a version (or a set of videos) where one primary factor changes while everything else stays as consistent as possible. The \u201ccontrol\u201d might be a baseline format you\u2019ve used for weeks, or a comparable set of videos released under similar conditions.<\/p>\n<\/li>\n

        4. \n

          Output \/ measurement and decision<\/strong>\n You track results over a defined window, compare against your baseline, and make a decision:\n – Ship the change as a new standard\n – Iterate with a follow-up experiment\n – Revert and document what didn\u2019t work<\/p>\n<\/li>\n<\/ol>\n\n\n\n

          This is how Video Marketing<\/strong> becomes an improvement system, not a one-off creative project. For Organic Marketing<\/strong>, the key is consistency: the more stable your measurement approach, the more trustworthy your learnings.<\/p>\n\n\n\n

          Key Components of Video Marketing Experiment<\/h2>\n\n\n\n

          A strong Video Marketing Experiment<\/strong> includes the following building blocks:<\/p>\n\n\n\n

          Clear hypotheses and scope<\/h3>\n\n\n\n

          Define what you\u2019re testing and why. Avoid vague goals like \u201cmake it better.\u201d State the expected effect and the rationale.<\/p>\n\n\n\n

          Baselines and comparability<\/h3>\n\n\n\n

          You need a reference point: historical averages, a standard format, or a matched set of similar videos. In Video Marketing<\/strong>, comparability can be affected by topic, seasonality, and distribution differences\u2014so document context.<\/p>\n\n\n\n

          Controlled variables<\/h3>\n\n\n\n

          Keep as much as possible consistent:\n– Publishing cadence and timing (when feasible)\n– Topic category and audience intent\n– Video length range (unless length is the variable)\n– CTA strategy (unless CTA is the variable)<\/p>\n\n\n\n

          Measurement plan<\/h3>\n\n\n\n

          Choose a primary metric and a few supporting metrics. For Organic Marketing<\/strong>, prioritize metrics that reflect sustained audience value, not just spikes.<\/p>\n\n\n\n

          Documentation and knowledge sharing<\/h3>\n\n\n\n

          A simple experiment log prevents repeat mistakes and accelerates onboarding. Record:\n– Hypothesis\n– What changed\n– What stayed the same\n– Results and interpretation\n– Decision and next steps<\/p>\n\n\n\n

          Governance and responsibilities<\/h3>\n\n\n\n

          Clarify who owns what:\n– Strategy: experiment backlog, prioritization\n– Production: scripting, editing, publishing\n– Analytics: reporting, significance checks, insights\n– Stakeholders: approval rules and brand safeguards<\/p>\n\n\n\n

          Types of Video Marketing Experiment<\/h2>\n\n\n\n

          \u201cFormal\u201d types vary by team maturity, but these distinctions are practical and widely used in Video Marketing<\/strong>:<\/p>\n\n\n\n

          Creative experiments<\/h3>\n\n\n\n

          Tests focused on content and storytelling:\n– Hook structure (question vs bold claim vs story)\n– Pacing and edit density\n– On-screen text usage\n– Presenter vs voiceover vs animation<\/p>\n\n\n\n

          Packaging and discoverability experiments<\/h3>\n\n\n\n

          Tests focused on how people choose to watch (platform-dependent):\n– Titles (problem-first vs outcome-first)\n– Thumbnails or cover frames (where applicable)\n– Descriptions and timestamps\n– Topic angle alignment with search intent (important for Organic Marketing<\/strong>)<\/p>\n\n\n\n

          Format experiments<\/h3>\n\n\n\n

          Tests focused on the \u201ccontainer\u201d:\n– Short-form vs long-form\n– Tutorials vs reviews vs behind-the-scenes\n– Series vs standalone episodes\n– Live vs recorded<\/p>\n\n\n\n

          Conversion pathway experiments<\/h3>\n\n\n\n

          Tests focused on actions after or during viewing:\n– CTA timing (early vs late)\n– CTA format (spoken vs on-screen vs pinned)\n– Landing page relevance and message match\n– Lead magnet framing and value proposition<\/p>\n\n\n\n

          Distribution and repurposing experiments<\/h3>\n\n\n\n

          Tests focused on extending reach organically:\n– Repurposing long-form into clips\n– Posting cadence and day\/time consistency\n– Cross-posting strategy and content adaptation by channel<\/p>\n\n\n\n

          Real-World Examples of Video Marketing Experiment<\/h2>\n\n\n\n

          Example 1: Improving early retention for a tutorial series<\/h3>\n\n\n\n

          A SaaS team notices a drop-off in the first 15 seconds. They run a Video Marketing Experiment<\/strong>: new videos start with the finished outcome and a quick \u201cwhat you\u2019ll learn,\u201d then move into steps.\nOrganic Marketing impact:<\/strong> higher watch time improves platform recommendations and boosts long-tail discovery.\nVideo Marketing result:<\/strong> average view duration rises, and comments show improved clarity.<\/p>\n\n\n\n

          Example 2: Turning views into sign-ups with better intent matching<\/h3>\n\n\n\n

          An ecommerce brand has strong views on product demos but low email sign-ups. They test adding a mid-video CTA that offers a \u201cbuyer\u2019s checklist\u201d matching the exact product category in the video.\nOrganic Marketing impact:<\/strong> list growth strengthens owned distribution.\nVideo Marketing result:<\/strong> conversion rate increases without harming retention because the offer is highly relevant.<\/p>\n\n\n\n

          Example 3: Finding the best topic angles for search-driven videos<\/h3>\n\n\n\n

          A service business tests two angles for the same core topic: \u201cHow to do X\u201d vs \u201cCommon mistakes when doing X.\u201d They keep length and structure consistent.\nOrganic Marketing impact:<\/strong> the winning angle attracts more qualified search traffic and leads.\nVideo Marketing result:<\/strong> higher average percentage watched and higher downstream inquiries.<\/p>\n\n\n\n

          Benefits of Using Video Marketing Experiment<\/h2>\n\n\n\n

          A disciplined Video Marketing Experiment<\/strong> program creates benefits that go beyond \u201cmore views\u201d:<\/p>\n\n\n\n

            \n
          • Performance improvements:<\/strong> higher retention, better engagement, and stronger conversion rates through validated creative and structural changes.<\/li>\n
          • Cost savings:<\/strong> fewer wasted production cycles because you learn what works before scaling a format or series.<\/li>\n
          • Efficiency gains:<\/strong> reusable templates emerge (hook patterns, script structures, CTA modules), reducing time-to-publish.<\/li>\n
          • Better audience experience:<\/strong> experiments often improve clarity, pacing, accessibility (captions\/on-screen text), and relevance\u2014key for long-term Organic Marketing<\/strong> trust.<\/li>\n
          • Stronger strategic alignment:<\/strong> video topics and angles become connected to customer questions, SEO insights, and funnel stages.<\/li>\n<\/ul>\n\n\n\n

            Challenges of Video Marketing Experiment<\/h2>\n\n\n\n

            A Video Marketing Experiment<\/strong> is powerful, but it has real constraints:<\/p>\n\n\n\n

              \n
            • Attribution limitations:<\/strong> In Organic Marketing<\/strong>, results are influenced by external factors (algorithm shifts, seasonality, competitor activity). Causality can be hard to prove.<\/li>\n
            • Small sample sizes:<\/strong> Many channels don\u2019t provide enough consistent impressions to confidently interpret small differences.<\/li>\n
            • Topic variability:<\/strong> A great topic can outperform a weak one regardless of creative choices, masking what the experiment actually tested.<\/li>\n
            • Creative fatigue:<\/strong> Over-optimizing for metrics can reduce originality if teams stop taking healthy creative risks.<\/li>\n
            • Operational overhead:<\/strong> Without a simple process and clear ownership, experimentation becomes extra work rather than a growth engine.<\/li>\n
            • Measurement noise:<\/strong> Metrics like views can be misleading; experiments need a thoughtful metric hierarchy to reflect real business outcomes.<\/li>\n<\/ul>\n\n\n\n

              Best Practices for Video Marketing Experiment<\/h2>\n\n\n\n

              Use these practices to make experimentation reliable and scalable:<\/p>\n\n\n\n

                \n
              1. \n

                Start with a clear metric hierarchy<\/strong>\n Pick one primary metric (e.g., average view duration) and 2\u20133 secondary metrics (e.g., CTR, comments, conversion rate). In Video Marketing<\/strong>, too many metrics create conflicting conclusions.<\/p>\n<\/li>\n

              2. \n

                Test one primary variable at a time<\/strong>\n If you change the hook, title, length, and CTA simultaneously, you won\u2019t know what caused the result.<\/p>\n<\/li>\n

              3. \n

                Build an experiment backlog tied to business goals<\/strong>\n Prioritize tests that support Organic Marketing<\/strong> outcomes: discoverability, retention, conversion to owned audiences, and sales enablement.<\/p>\n<\/li>\n

              4. \n

                Use consistent observation windows<\/strong>\n Decide upfront whether you\u2019ll evaluate after 48 hours, 7 days, or 28 days. Different content types mature differently.<\/p>\n<\/li>\n

              5. \n

                Segment by intent and audience<\/strong>\n Educational top-of-funnel videos should be evaluated differently than product comparisons or customer stories.<\/p>\n<\/li>\n

              6. \n

                Document learnings in reusable formats<\/strong>\n Turn results into \u201chouse rules\u201d (e.g., hook template, pacing guidance) and keep a living playbook.<\/p>\n<\/li>\n

              7. \n

                Scale winners carefully<\/strong>\n Validate across multiple videos before declaring a universal rule. What works for tutorials may fail for thought leadership.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                Tools Used for Video Marketing Experiment<\/h2>\n\n\n\n

                A Video Marketing Experiment<\/strong> doesn\u2019t require a complex stack, but tool support improves speed and accuracy. Common tool categories include:<\/p>\n\n\n\n

                  \n
                • Analytics tools:<\/strong> channel analytics, cohort and retention reporting, traffic source breakdowns, conversion tracking.<\/li>\n
                • Web analytics and tag management:<\/strong> measuring sessions, engaged time, sign-ups, and assisted conversions from video-driven traffic.<\/li>\n
                • SEO tools:<\/strong> topic discovery, query intent research, content gap analysis, and performance tracking for search-driven Organic Marketing<\/strong>.<\/li>\n
                • Reporting dashboards:<\/strong> experiment scorecards that combine video metrics with website and CRM outcomes.<\/li>\n
                • CRM systems:<\/strong> attribution of leads and pipeline to video-touch journeys; segmentation by source and content theme.<\/li>\n
                • Project management systems:<\/strong> backlog prioritization, experiment briefs, version tracking, and approvals.<\/li>\n
                • Creative production tools:<\/strong> scripting templates, caption workflows, and standardized export settings for consistent testing conditions.<\/li>\n<\/ul>\n\n\n\n

                  For Video Marketing<\/strong>, the most important \u201ctool\u201d is consistency: stable naming conventions, version control (even simple), and a shared experiment log.<\/p>\n\n\n\n

                  Metrics Related to Video Marketing Experiment<\/h2>\n\n\n\n

                  Choose metrics based on your objective, not convenience. Common metrics used in a Video Marketing Experiment<\/strong> include:<\/p>\n\n\n\n

                  Engagement and quality<\/h3>\n\n\n\n
                    \n
                  • Average view duration<\/strong> and average percentage viewed<\/strong><\/li>\n
                  • Audience retention curves<\/strong> (especially first 5\u201330 seconds)<\/li>\n
                  • Rewatches<\/strong> or repeat viewers (where available)<\/li>\n
                  • Comments, saves, shares<\/strong> (as indicators of value and resonance)<\/li>\n<\/ul>\n\n\n\n

                    Discoverability and reach (Organic Marketing aligned)<\/h3>\n\n\n\n
                      \n
                    • Impressions and impression-to-view rate<\/strong> (platform-dependent)<\/li>\n
                    • Search-driven views<\/strong> and query alignment (for search-focused Video Marketing<\/strong>)<\/li>\n
                    • Follower\/subscriber growth<\/strong> attributable to content themes<\/li>\n<\/ul>\n\n\n\n

                      Conversion and business impact<\/h3>\n\n\n\n
                        \n
                      • Click-through to site<\/strong> (from video placements)<\/li>\n
                      • Conversion rate<\/strong> on landing pages matched to the video\u2019s intent<\/li>\n
                      • Lead quality<\/strong> (MQL\/SQL rates, pipeline influenced)<\/li>\n
                      • Customer support deflection<\/strong> (for educational or onboarding video content)<\/li>\n<\/ul>\n\n\n\n

                        Efficiency and production health<\/h3>\n\n\n\n
                          \n
                        • Time-to-produce<\/strong> by format<\/li>\n
                        • Cost per asset<\/strong> (even approximate internal costing)<\/li>\n
                        • Win rate of experiments<\/strong> (how often a test produces a measurable lift)<\/li>\n<\/ul>\n\n\n\n

                          Future Trends of Video Marketing Experiment<\/h2>\n\n\n\n

                          The next phase of Video Marketing Experiment<\/strong> work will be shaped by automation, AI, and measurement constraints:<\/p>\n\n\n\n

                            \n
                          • AI-assisted ideation and scripting:<\/strong> Teams will generate more testable variants faster\u2014making prioritization and governance more important than ever.<\/li>\n
                          • Automated versioning and personalization:<\/strong> More creators will tailor intros, CTAs, or examples to different audience segments, creating \u201cmicro-experiments\u201d within Organic Marketing<\/strong> funnels.<\/li>\n
                          • Stronger focus on first-party measurement:<\/strong> As privacy constraints limit cross-platform tracking, experiment design will lean on platform analytics, on-site behaviors, and CRM outcomes.<\/li>\n
                          • Quality signals over vanity metrics:<\/strong> Watch time quality, satisfaction proxies, and downstream actions will matter more than raw views.<\/li>\n
                          • Experimentation as content operations:<\/strong> Mature teams will treat Video Marketing<\/strong> like product development\u2014roadmaps, sprints, QA, and standardized experiment scorecards.<\/li>\n<\/ul>\n\n\n\n

                            In Organic Marketing<\/strong>, this evolution favors teams that can learn quickly, document well, and translate insights into consistent creative execution.<\/p>\n\n\n\n

                            Video Marketing Experiment vs Related Terms<\/h2>\n\n\n\n

                            Video Marketing Experiment vs A\/B testing<\/h3>\n\n\n\n

                            A\/B testing is a specific method (two variants, controlled comparison). A Video Marketing Experiment<\/strong> is broader: it can include A\/B tests, pre\/post comparisons, matched cohorts, or sequential testing across a series\u2014depending on platform constraints.<\/p>\n\n\n\n

                            Video Marketing Experiment vs Content marketing experiment<\/h3>\n\n\n\n

                            A content marketing experiment can apply to blogs, email, podcasts, or social posts. A Video Marketing Experiment<\/strong> focuses specifically on video variables\u2014retention, pacing, on-screen clarity, and the unique distribution mechanics of Video Marketing<\/strong> platforms.<\/p>\n\n\n\n

                            Video Marketing Experiment vs Conversion rate optimization (CRO)<\/h3>\n\n\n\n

                            CRO focuses on improving conversion actions, often on websites or landing pages. A Video Marketing Experiment<\/strong> may include CRO elements (CTA and landing page tests), but it also addresses top-of-funnel discovery and engagement crucial to Organic Marketing<\/strong>.<\/p>\n\n\n\n

                            Who Should Learn Video Marketing Experiment<\/h2>\n\n\n\n
                              \n
                            • Marketers:<\/strong> to connect creative video work to measurable outcomes and sustainable Organic Marketing<\/strong> growth.<\/li>\n
                            • Analysts:<\/strong> to design cleaner tests, avoid misleading conclusions, and build reporting that ties Video Marketing<\/strong> to business KPIs.<\/li>\n
                            • Agencies:<\/strong> to justify recommendations, improve client results, and standardize processes across accounts.<\/li>\n
                            • Business owners and founders:<\/strong> to reduce wasted content spend and build repeatable customer acquisition through video.<\/li>\n
                            • Developers and technical teams:<\/strong> to implement tracking, improve site performance for video-driven traffic, and support reliable measurement pipelines.<\/li>\n<\/ul>\n\n\n\n

                              Summary of Video Marketing Experiment<\/h2>\n\n\n\n

                              A Video Marketing Experiment<\/strong> is a structured way to test changes in video content, packaging, distribution, and conversion paths\u2014so you can improve performance based on evidence. It matters because Organic Marketing<\/strong> rewards consistent audience value, and Video Marketing<\/strong> outcomes often hinge on small creative and strategic decisions that can be measured and refined. When run with clear hypotheses, controlled variables, and disciplined measurement, experimentation turns video into a scalable growth system rather than a series of guesses.<\/p>\n\n\n\n

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

                              What is a Video Marketing Experiment, in simple terms?<\/h3>\n\n\n\n

                              A Video Marketing Experiment<\/strong> is a planned test where you change one main element of a video (or its publishing approach) and measure whether that change improves a defined metric like retention, clicks, or conversions.<\/p>\n\n\n\n

                              How long should a Video Marketing Experiment run?<\/h3>\n\n\n\n

                              Long enough to reach a stable pattern in your primary metric. Many teams use 7\u201328 days depending on content velocity and typical view curves, but the best window is the one you can apply consistently across tests.<\/p>\n\n\n\n

                              What should I test first in Video Marketing?<\/h3>\n\n\n\n

                              Start with the highest-leverage areas: the first 5\u201315 seconds (hook), topic\/angle selection, and CTA relevance. These often produce the biggest gains for both Video Marketing<\/strong> performance and Organic Marketing<\/strong> outcomes.<\/p>\n\n\n\n

                              Can I run experiments if I don\u2019t have a large audience?<\/h3>\n\n\n\n

                              Yes. Use sequential testing across a series, focus on bigger changes (not tiny tweaks), and rely on directional learnings supported by qualitative feedback (comments, sales calls, support tickets) alongside analytics.<\/p>\n\n\n\n

                              Which metrics matter most for Organic Marketing video efforts?<\/h3>\n\n\n\n

                              Prioritize metrics that indicate durable value: average view duration, retention shape, returning viewers, search-driven discovery (where applicable), and downstream actions like email sign-ups or qualified leads.<\/p>\n\n\n\n

                              How do I avoid \u201cfalse wins\u201d in experimentation?<\/h3>\n\n\n\n

                              Define your baseline, keep variables controlled, use a consistent observation window, and avoid calling a result conclusive after a short spike. Validate winning patterns across multiple videos before standardizing them.<\/p>\n\n\n\n

                              Does experimentation reduce creativity in Video Marketing?<\/h3>\n\n\n\n

                              Not if done well. A Video Marketing Experiment<\/strong> should protect creativity by giving it structure\u2014so bold ideas can be tested, learned from, and scaled when they genuinely help the audience.<\/p>\n","protected":false},"excerpt":{"rendered":"

                              A **Video Marketing Experiment** is a structured, measurable test you run to improve results from **Video Marketing**\u2014especially when your growth depends on **Organic Marketing** channels like search, social, community, email lists, and your own website. Instead of guessing which hook, thumbnail, format, or storyline will perform best, you create a hypothesis, change a specific variable, measure outcomes, and learn what reliably moves key metrics.<\/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":[1906],"tags":[],"class_list":["post-10162","post","type-post","status-publish","format-standard","hentry","category-video-marketing"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/10162","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=10162"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/10162\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=10162"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=10162"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=10162"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}