{"id":8079,"date":"2026-03-25T13:49:37","date_gmt":"2026-03-25T13:49:37","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/email-testing-framework\/"},"modified":"2026-03-25T13:49:37","modified_gmt":"2026-03-25T13:49:37","slug":"email-testing-framework","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/email-testing-framework\/","title":{"rendered":"Email Testing Framework: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Email Marketing"},"content":{"rendered":"\n

An Email Testing Framework<\/strong> is the structured way teams plan, run, measure, and learn from email tests\u2014so improvements are repeatable instead of random. In Direct & Retention Marketing<\/strong>, where performance depends on trust, timing, and relevance, a framework turns \u201clet\u2019s try it\u201d into controlled experimentation and reliable quality assurance. It also reduces the risk of brand-damaging mistakes that can happen when emails ship without rigorous checks.<\/p>\n\n\n\n

In modern Email Marketing<\/strong>, testing is no longer optional. Inbox ecosystems change, privacy features obscure measurement, and audiences expect personalization. An Email Testing Framework<\/strong> helps teams navigate these realities by standardizing how they validate deliverability, creative rendering, segmentation logic, and conversion impact\u2014before and after every send.<\/p>\n\n\n\n

What Is Email Testing Framework?<\/h2>\n\n\n\n

An Email Testing Framework<\/strong> is a documented system of processes, rules, and measurement practices used to improve email performance and reliability. For beginners, it\u2019s easiest to think of it as a \u201cplaybook\u201d that answers four questions:<\/p>\n\n\n\n

    \n
  • What are we testing (and why)?<\/li>\n
  • How will we test it safely and fairly?<\/li>\n
  • How will we measure the outcome?<\/li>\n
  • What will we do with what we learned?<\/li>\n<\/ul>\n\n\n\n

    The core concept is consistency. Rather than running one-off A\/B tests or relying on subjective opinions, an Email Testing Framework<\/strong> defines repeatable methods for quality checks, experimental design, audience selection, and analysis.<\/p>\n\n\n\n

    From a business perspective, it protects revenue and brand equity. In Direct & Retention Marketing<\/strong>, email is often the highest-ROI owned channel; the framework ensures every campaign is both technically correct and strategically optimized. Within Email Marketing<\/strong>, it connects creative, data, and deliverability into one accountable workflow.<\/p>\n\n\n\n

    Why Email Testing Framework Matters in Direct & Retention Marketing<\/h2>\n\n\n\n

    In Direct & Retention Marketing<\/strong>, small changes compound. A better subject line can improve opens, but a better lifecycle trigger can improve long-term customer value. An Email Testing Framework<\/strong> matters because it helps you prioritize what actually moves the business, not what is merely easy to test.<\/p>\n\n\n\n

    Key strategic impacts include:<\/p>\n\n\n\n

      \n
    • Revenue protection:<\/strong> Catch broken links, pricing errors, and segmentation mistakes before they reach thousands of subscribers.<\/li>\n
    • Sustainable growth:<\/strong> Build a learning system where each campaign informs the next, instead of starting from scratch.<\/li>\n
    • Audience trust:<\/strong> Reduce spam complaints and confusing experiences through consistent QA and deliverability controls.<\/li>\n
    • Competitive advantage:<\/strong> Teams that test well learn faster, iterate faster, and keep improving while others rely on intuition.<\/li>\n<\/ul>\n\n\n\n

      In practical Email Marketing<\/strong> terms, the framework is what makes optimization a discipline rather than a series of disconnected experiments.<\/p>\n\n\n\n

      How Email Testing Framework Works<\/h2>\n\n\n\n

      An Email Testing Framework<\/strong> is both procedural (step-by-step checks) and analytical (how you interpret outcomes). A common real-world workflow looks like this:<\/p>\n\n\n\n

        \n
      1. \n

        Input \/ trigger<\/strong>\n – A campaign idea, lifecycle journey update, new template, or deliverability issue.\n – A hypothesis such as: \u201cAdding one benefit-focused line above the fold will increase click-through rate.\u201d<\/p>\n<\/li>\n

      2. \n

        Analysis \/ planning<\/strong>\n – Define the test type (QA vs. experiment), success metric, and guardrails.\n – Choose the audience, sample size approach, and test duration.\n – Identify risks (brand, legal, deliverability) and required approvals.<\/p>\n<\/li>\n

      3. \n

        Execution \/ application<\/strong>\n – Build variants (A\/B or multivariate) or run pre-send validations.\n – Validate segmentation logic, personalization, dynamic content, and rendering.\n – Launch the test with clean tracking and consistent send conditions.<\/p>\n<\/li>\n

      4. \n

        Output \/ outcome<\/strong>\n – Evaluate results using agreed metrics (including downstream outcomes like conversion or revenue).\n – Document learnings, decide whether to roll out, and add insights to a testing backlog.\n – Monitor for unintended effects (unsubscribes, complaint rate, deliverability dips).<\/p>\n<\/li>\n<\/ol>\n\n\n\n

        In Direct & Retention Marketing<\/strong>, the \u201coutput\u201d should not just be a winner\/loser\u2014it should be a reusable insight about the audience.<\/p>\n\n\n\n

        Key Components of Email Testing Framework<\/h2>\n\n\n\n

        A strong Email Testing Framework<\/strong> typically includes these building blocks:<\/p>\n\n\n\n

        1) Testing strategy and governance<\/h3>\n\n\n\n
          \n
        • A testing roadmap aligned to business goals (activation, retention, upsell, win-back).<\/li>\n
        • A clear decision process: who can launch tests, who must approve, and what \u201cready to send\u201d means.<\/li>\n
        • A shared testing calendar to avoid overlapping tests that contaminate results.<\/li>\n<\/ul>\n\n\n\n

          2) QA and pre-send validation<\/h3>\n\n\n\n
            \n
          • Checklists for links, tracking parameters, personalization tokens, suppression lists, and compliance elements.<\/li>\n
          • Rendering checks across major clients\/devices and dark mode considerations.<\/li>\n
          • Accessibility checks (contrast, alt text, tap targets).<\/li>\n<\/ul>\n\n\n\n

            3) Experiment design standards<\/h3>\n\n\n\n
              \n
            • Rules for hypotheses, variant design, and what counts as a \u201cmaterial\u201d change.<\/li>\n
            • Guidance on sample sizes, run time, and avoiding mid-test edits.<\/li>\n
            • Guardrails to prevent testing high-risk elements without approval.<\/li>\n<\/ul>\n\n\n\n

              4) Data inputs and measurement<\/h3>\n\n\n\n
                \n
              • Clean event tracking (clicks, conversions, revenue attribution, downstream churn).<\/li>\n
              • Segmentation definitions (new vs. returning, high LTV cohorts, engaged vs. unengaged).<\/li>\n
              • Documentation of known measurement limitations (e.g., privacy-related open tracking issues).<\/li>\n<\/ul>\n\n\n\n

                5) Roles and responsibilities<\/h3>\n\n\n\n
                  \n
                • Marketer: defines hypothesis and messaging intent.<\/li>\n
                • Analyst: validates methodology and interprets results.<\/li>\n
                • Developer\/ops: ensures templates, dynamic logic, and tracking are correct.<\/li>\n
                • Deliverability owner: monitors inbox placement and sender reputation.<\/li>\n<\/ul>\n\n\n\n

                  This is where Email Marketing<\/strong> becomes operationally mature: everyone knows what good testing looks like.<\/p>\n\n\n\n

                  Types of Email Testing Framework<\/h2>\n\n\n\n

                  There aren\u2019t universal \u201cofficial\u201d types, but in practice most teams use distinct approaches inside an Email Testing Framework<\/strong>:<\/p>\n\n\n\n

                    \n
                  1. \n

                    Pre-send QA framework (quality-first)<\/strong>\n – Focus: preventing errors and brand damage.\n – Best for: high-volume newsletters, promotions, and regulated industries.<\/p>\n<\/li>\n

                  2. \n

                    Experimentation framework (growth-first)<\/strong>\n – Focus: controlled A\/B tests, multivariate tests, and holdouts.\n – Best for: improving click-through, conversion, and revenue per recipient.<\/p>\n<\/li>\n

                  3. \n

                    Lifecycle and journey framework (system-first)<\/strong>\n – Focus: triggers, timing, frequency caps, and cross-channel orchestration.\n – Best for: onboarding, cart abandonment, replenishment, churn prevention in Direct & Retention Marketing<\/strong>.<\/p>\n<\/li>\n

                  4. \n

                    Deliverability framework (inbox-first)<\/strong>\n – Focus: sender reputation, authentication, list hygiene, and complaint prevention.\n – Best for: scaling sends safely and improving inbox placement in Email Marketing<\/strong>.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                    Most mature programs combine all four, but weight them differently depending on risk and business goals.<\/p>\n\n\n\n

                    Real-World Examples of Email Testing Framework<\/h2>\n\n\n\n

                    Example 1: E-commerce promotional email optimization<\/h3>\n\n\n\n

                    A retail team uses an Email Testing Framework<\/strong> to test two hero-image approaches and three subject line styles during a seasonal sale. They keep the audience constant, exclude recent purchasers to prevent over-messaging, and measure revenue per recipient as the primary KPI. The winner is rolled out only after confirming unsubscribe rate and complaint rate remain stable\u2014an approach that fits Direct & Retention Marketing<\/strong> priorities.<\/p>\n\n\n\n

                    Example 2: SaaS onboarding journey improvements<\/h3>\n\n\n\n

                    A SaaS company applies an Email Testing Framework<\/strong> to a 14-day onboarding sequence. They test whether sending a \u201csetup checklist\u201d email on day 1 vs. day 3 improves activation. The framework requires a holdout group to estimate incremental lift and prevents overlapping tests that would distort results. This is Email Marketing<\/strong> as product growth, not just communications.<\/p>\n\n\n\n

                    Example 3: Deliverability recovery after engagement decline<\/h3>\n\n\n\n

                    A publisher notices declining inbox placement and rising spam-folder placement signals. Using their Email Testing Framework<\/strong>, they run a re-permission campaign, tighten list hygiene rules, and test reduced frequency for low-engagement cohorts. They track complaints, bounces, and engagement trends to confirm the program is stabilizing\u2014critical for Direct & Retention Marketing<\/strong> where sender reputation is an asset.<\/p>\n\n\n\n

                    Benefits of Using Email Testing Framework<\/h2>\n\n\n\n

                    A well-run Email Testing Framework<\/strong> delivers benefits beyond \u201cbetter subject lines\u201d:<\/p>\n\n\n\n

                      \n
                    • Performance improvements:<\/strong> Higher click-through rates, conversions, and revenue per send due to validated learnings.<\/li>\n
                    • Cost savings:<\/strong> Fewer costly mistakes (wrong offers, broken links, incorrect segmentation) and less time spent firefighting.<\/li>\n
                    • Efficiency gains:<\/strong> Faster approvals and smoother production because standards and checklists reduce ambiguity.<\/li>\n
                    • Better customer experience:<\/strong> More relevant messaging, fewer repetitive emails, improved accessibility, and fewer errors.<\/li>\n
                    • Stronger decision-making:<\/strong> Teams can defend changes with evidence, not opinions\u2014valuable in cross-functional Email Marketing<\/strong> discussions.<\/li>\n<\/ul>\n\n\n\n

                      Challenges of Email Testing Framework<\/h2>\n\n\n\n

                      Even a strong Email Testing Framework<\/strong> has real constraints:<\/p>\n\n\n\n

                        \n
                      • Measurement limitations:<\/strong> Opens are less reliable due to privacy protections; clicks don\u2019t capture offline or cross-device behavior perfectly.<\/li>\n
                      • Statistical pitfalls:<\/strong> Small sample sizes, short test windows, and multiple comparisons can create false \u201cwinners.\u201d<\/li>\n
                      • Audience overlap:<\/strong> Running too many tests at once can contaminate results, especially in lifecycle programs.<\/li>\n
                      • Operational friction:<\/strong> Governance can become slow if approvals are unclear or teams lack shared definitions.<\/li>\n
                      • Deliverability side effects:<\/strong> Aggressive testing on unengaged segments can increase complaints and harm sender reputation\u2014an important Direct & Retention Marketing<\/strong> risk.<\/li>\n<\/ul>\n\n\n\n

                        Addressing these challenges is part of what makes the framework valuable.<\/p>\n\n\n\n

                        Best Practices for Email Testing Framework<\/h2>\n\n\n\n

                        To make an Email Testing Framework<\/strong> effective and scalable:<\/p>\n\n\n\n

                          \n
                        1. \n

                          Start with a testing charter<\/strong>\n – Define goals (retention, conversion, reactivation), primary metrics, and guardrails.<\/p>\n<\/li>\n

                        2. \n

                          Separate QA tests from performance experiments<\/strong>\n – QA is pass\/fail (links, rendering, personalization).\n – Experiments require hypotheses, consistent conditions, and analysis standards.<\/p>\n<\/li>\n

                        3. \n

                          Test one meaningful variable at a time<\/strong>\n – If you change subject, offer, and layout simultaneously, you won\u2019t know what caused the result.<\/p>\n<\/li>\n

                        4. \n

                          Use meaningful success metrics<\/strong>\n – Prefer downstream metrics (conversions, revenue, retention lift) over vanity metrics, especially in Direct & Retention Marketing<\/strong>.<\/p>\n<\/li>\n

                        5. \n

                          Plan for seasonality and timing<\/strong>\n – Avoid comparing a weekend send to a weekday send without accounting for baseline differences.<\/p>\n<\/li>\n

                        6. \n

                          Document everything<\/strong>\n – Hypothesis, audience, variants, dates, results, and rollout decision. Institutional memory is a competitive edge in Email Marketing<\/strong>.<\/p>\n<\/li>\n

                        7. \n

                          Build a backlog and prioritize by impact<\/strong>\n – Focus on high-leverage areas: lifecycle triggers, segmentation, deliverability, and core templates.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                          Tools Used for Email Testing Framework<\/h2>\n\n\n\n

                          An Email Testing Framework<\/strong> is tool-enabled, but not tool-dependent. Common tool categories include:<\/p>\n\n\n\n

                            \n
                          • Email service providers and marketing automation tools:<\/strong> Build campaigns, manage journeys, run basic A\/B tests, and handle suppression logic.<\/li>\n
                          • CRM systems:<\/strong> Store customer attributes, lifecycle stage, purchase history, and consent status used for segmentation in Direct & Retention Marketing<\/strong>.<\/li>\n
                          • Analytics tools:<\/strong> Measure on-site behavior, conversions, and cohort performance beyond the inbox.<\/li>\n
                          • Reporting dashboards \/ BI:<\/strong> Track trends over time (deliverability, engagement, revenue) and share results across stakeholders.<\/li>\n
                          • Inbox rendering and QA systems:<\/strong> Preview designs across clients\/devices, validate links, and flag common code issues.<\/li>\n
                          • Deliverability monitoring:<\/strong> Track sender reputation signals, complaint rates, bounce patterns, and inbox placement proxies.<\/li>\n
                          • Data warehouse \/ ETL workflows:<\/strong> Combine email events with product, commerce, and customer data for better Email Marketing<\/strong> analysis.<\/li>\n<\/ul>\n\n\n\n

                            The best stack is the one that makes testing repeatable, auditable, and fast.<\/p>\n\n\n\n

                            Metrics Related to Email Testing Framework<\/h2>\n\n\n\n

                            Because an Email Testing Framework<\/strong> spans quality, deliverability, engagement, and outcomes, track metrics in layers:<\/p>\n\n\n\n

                            Performance and engagement<\/h3>\n\n\n\n
                              \n
                            • Click-through rate (CTR)<\/li>\n
                            • Click-to-open rate (CTOR) where opens are usable<\/li>\n
                            • Conversion rate (signup, purchase, booked call)<\/li>\n
                            • Revenue per recipient \/ revenue per email delivered<\/li>\n<\/ul>\n\n\n\n

                              List health and deliverability<\/h3>\n\n\n\n
                                \n
                              • Bounce rate (hard\/soft)<\/li>\n
                              • Spam complaint rate<\/li>\n
                              • Unsubscribe rate<\/li>\n
                              • Delivery rate and trends by domain\/provider<\/li>\n<\/ul>\n\n\n\n

                                Efficiency and quality<\/h3>\n\n\n\n
                                  \n
                                • QA defect rate (issues found pre-send vs. post-send)<\/li>\n
                                • Time-to-launch for campaigns<\/li>\n
                                • Test velocity (tests run per month) paired with test quality standards<\/li>\n<\/ul>\n\n\n\n

                                  Retention and customer outcomes (Direct & Retention Marketing focus)<\/h3>\n\n\n\n
                                    \n
                                  • Repeat purchase rate<\/li>\n
                                  • Churn rate \/ renewal rate<\/li>\n
                                  • Reactivation rate for dormant segments<\/li>\n
                                  • Incremental lift vs. holdout (when feasible)<\/li>\n<\/ul>\n\n\n\n

                                    A framework is working when teams can explain why<\/em> metrics moved, not just that<\/em> they moved.<\/p>\n\n\n\n

                                    Future Trends of Email Testing Framework<\/h2>\n\n\n\n

                                    The Email Testing Framework<\/strong> is evolving as Direct & Retention Marketing<\/strong> becomes more data-driven and privacy-aware:<\/p>\n\n\n\n

                                      \n
                                    • AI-assisted ideation and analysis:<\/strong> Faster hypothesis generation, smarter segmentation suggestions, and anomaly detection\u2014paired with human governance to avoid misleading conclusions.<\/li>\n
                                    • Automation of QA:<\/strong> More pre-send validations for links, personalization tokens, and rendering, reducing manual review time.<\/li>\n
                                    • Personalization at scale:<\/strong> More tests focused on modular content, recommendations, and dynamic journeys rather than single email sends.<\/li>\n
                                    • Privacy-driven measurement shifts:<\/strong> Greater emphasis on clicks, conversions, modeled outcomes, and holdout testing as open tracking becomes less reliable.<\/li>\n
                                    • Cross-channel experimentation:<\/strong> Email tests increasingly coordinate with SMS, push, in-app, and paid retargeting to optimize the full retention system.<\/li>\n<\/ul>\n\n\n\n

                                      Teams that adapt their Email Testing Framework<\/strong> to these shifts will make better decisions with less noise.<\/p>\n\n\n\n

                                      Email Testing Framework vs Related Terms<\/h2>\n\n\n\n

                                      Email Testing Framework vs A\/B testing<\/h3>\n\n\n\n

                                      A\/B testing is a single method (comparing two variants). An Email Testing Framework<\/strong> is the broader system that governs when to A\/B test, how to measure, how to avoid bias, and how to roll out learnings across Email Marketing<\/strong> programs.<\/p>\n\n\n\n

                                      Email Testing Framework vs email QA checklist<\/h3>\n\n\n\n

                                      A QA checklist is typically pre-send and tactical (links, rendering, compliance). An Email Testing Framework<\/strong> includes QA but also covers experimentation strategy, analysis standards, and learning management\u2014especially important in Direct & Retention Marketing<\/strong> lifecycle programs.<\/p>\n\n\n\n

                                      Email Testing Framework vs deliverability monitoring<\/h3>\n\n\n\n

                                      Deliverability monitoring focuses on inbox placement and sender reputation signals. An Email Testing Framework<\/strong> includes deliverability as one pillar alongside creative performance, segmentation logic, and conversion outcomes.<\/p>\n\n\n\n

                                      Who Should Learn Email Testing Framework<\/h2>\n\n\n\n
                                        \n
                                      • Marketers:<\/strong> To improve campaign performance, reduce mistakes, and justify decisions with evidence in Email Marketing<\/strong> planning.<\/li>\n
                                      • Analysts:<\/strong> To standardize test design, prevent common statistical errors, and translate outcomes into business actions.<\/li>\n
                                      • Agencies:<\/strong> To run consistent programs across clients, document learnings, and scale optimization without reinventing processes.<\/li>\n
                                      • Business owners and founders:<\/strong> To protect brand trust and improve retention economics\u2014core to Direct & Retention Marketing<\/strong>.<\/li>\n
                                      • Developers and marketing ops:<\/strong> To validate dynamic content, personalization logic, tracking, and data pipelines that make testing reliable.<\/li>\n<\/ul>\n\n\n\n

                                        Summary of Email Testing Framework<\/h2>\n\n\n\n

                                        An Email Testing Framework<\/strong> is a structured approach to validating and improving email campaigns through consistent QA, controlled experimentation, and disciplined measurement. It matters because it reduces risk, accelerates learning, and drives measurable gains\u2014especially in Direct & Retention Marketing<\/strong>, where retention, trust, and lifetime value are the real scoreboard. Used well, it turns Email Marketing<\/strong> into a repeatable growth system rather than a collection of one-off sends.<\/p>\n\n\n\n

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

                                        1) What is an Email Testing Framework in simple terms?<\/h3>\n\n\n\n

                                        An Email Testing Framework<\/strong> is a repeatable playbook for checking email quality and running experiments so you can improve results safely, measure accurately, and keep what works.<\/p>\n\n\n\n

                                        2) How is an Email Testing Framework different from \u201ctesting subject lines\u201d?<\/h3>\n\n\n\n

                                        Subject line testing is one small use case. A framework also covers segmentation logic, lifecycle triggers, template rendering, deliverability, measurement standards, and documentation\u2014everything needed to scale Email Marketing<\/strong> improvements.<\/p>\n\n\n\n

                                        3) What should I test first if I\u2019m new to Direct & Retention Marketing?<\/h3>\n\n\n\n

                                        Start with high-impact, low-risk areas: broken-link prevention, basic rendering checks, segmentation accuracy, and one-variable A\/B tests on subject lines or calls-to-action. Then expand into lifecycle timing and audience targeting.<\/p>\n\n\n\n

                                        4) Which metrics matter most for Email Marketing tests?<\/h3>\n\n\n\n

                                        Prioritize metrics tied to outcomes: conversions, revenue per recipient, activation, or retention lift. Use engagement metrics like clicks as leading indicators, and track unsubscribes\/complaints as guardrails.<\/p>\n\n\n\n

                                        5) How do I avoid false winners in email experiments?<\/h3>\n\n\n\n

                                        Set the success metric before launching, avoid changing variants mid-test, run long enough to reduce randomness, and don\u2019t run too many simultaneous tests on the same audience. If possible, use holdouts for incremental lift.<\/p>\n\n\n\n

                                        6) Do I need special tools to build an Email Testing Framework?<\/h3>\n\n\n\n

                                        You can start with documentation, checklists, and consistent reporting inside your existing ESP\/automation platform. Specialized QA, deliverability, and BI tools help you scale, but the framework is primarily about process and standards.<\/p>\n\n\n\n

                                        7) How often should a team run tests?<\/h3>\n\n\n\n

                                        In Direct & Retention Marketing<\/strong>, it\u2019s better to run fewer, higher-quality tests than many noisy ones. A practical target is a steady cadence (weekly or biweekly) plus continuous QA on every send, with learnings documented and reused.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                        An **Email Testing Framework** is the structured way teams plan, run, measure, and learn from email tests\u2014so improvements are repeatable instead of random. In **Direct & Retention Marketing**, where performance depends on trust, timing, and relevance, a framework turns \u201clet\u2019s try it\u201d into controlled experimentation and reliable quality assurance. It also reduces the risk of brand-damaging mistakes that can happen when emails ship without rigorous checks.<\/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":[130],"tags":[],"class_list":["post-8079","post","type-post","status-publish","format-standard","hentry","category-email-marketing"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/8079","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=8079"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/8079\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=8079"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=8079"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=8079"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}