{"id":10400,"date":"2026-03-29T08:27:40","date_gmt":"2026-03-29T08:27:40","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/marginal-roas\/"},"modified":"2026-03-29T08:27:40","modified_gmt":"2026-03-29T08:27:40","slug":"marginal-roas","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/marginal-roas\/","title":{"rendered":"Marginal ROAS: What It Is, Key Features, Benefits, Use Cases, and How It Fits in PPC"},"content":{"rendered":"\n

Marginal ROAS is one of the most useful concepts in modern Paid Marketing<\/strong> because it answers a question that average performance metrics can\u2019t: What do I get back from the next dollar I spend?<\/em> In PPC<\/strong>, where budgets can scale up or down in minutes, understanding this \u201cnext increment\u201d return is often the difference between profitable growth and expensive waste.<\/p>\n\n\n\n

In practice, Marginal ROAS<\/strong> helps marketers decide when to increase spend, when to hold steady, and when to cut budgets\u2014even if a campaign still looks \u201cgood\u201d on average. It\u2019s especially important as auctions become more competitive, targeting signals become noisier, and teams need clearer rules for scaling Paid Marketing<\/strong> efficiently.<\/p>\n\n\n\n

2. What Is Marginal ROAS?<\/h2>\n\n\n\n

Marginal ROAS<\/strong> (marginal return on ad spend) is the additional<\/em> revenue generated by an additional<\/em> unit of advertising spend, typically measured as:<\/p>\n\n\n\n

    \n
  • Marginal ROAS = (Change in revenue) \u00f7 (Change in ad spend)<\/strong><\/li>\n<\/ul>\n\n\n\n

    Unlike standard ROAS (which is total revenue divided by total spend), Marginal ROAS<\/strong> focuses on incremental changes<\/em>\u2014the slope of your spend-to-revenue curve at the current spend level.<\/p>\n\n\n\n

    The core concept<\/h3>\n\n\n\n

    As you scale PPC<\/strong> budgets, performance usually changes. Early spend often captures the highest-intent audiences; later spend may push into less efficient impressions, higher CPCs, or lower-quality traffic. Marginal ROAS<\/strong> quantifies that diminishing (or occasionally improving) return at the margin.<\/p>\n\n\n\n

    The business meaning<\/h3>\n\n\n\n

    From a business perspective, Marginal ROAS<\/strong> is a decision metric. It tells you whether the next<\/em> budget increase is expected to be profitable relative to your costs (COGS, fulfillment, overhead, or contribution margin). In Paid Marketing<\/strong>, this makes it a natural bridge between marketing performance and finance.<\/p>\n\n\n\n

    Where it fits in Paid Marketing and PPC<\/h3>\n\n\n\n

    In Paid Marketing<\/strong>, you use Marginal ROAS<\/strong> to allocate budgets across campaigns, channels, geographies, and audiences. In PPC<\/strong>, you use it to guide bidding, budget caps, and scaling strategies\u2014especially when you\u2019re close to saturation or when efficiency changes rapidly with spend.<\/p>\n\n\n\n

    3. Why Marginal ROAS Matters in Paid Marketing<\/h2>\n\n\n\n

    Marginal ROAS<\/strong> matters because most scaling mistakes come from relying on averages. A campaign can show a strong overall ROAS while the latest<\/em> dollars are performing poorly.<\/p>\n\n\n\n

    Key reasons it\u2019s strategically important in Paid Marketing<\/strong>:<\/p>\n\n\n\n

      \n
    • Better scaling decisions:<\/strong> Increase spend where the next dollars are efficient; avoid scaling where returns are falling.<\/li>\n
    • Stronger profitability control:<\/strong> Tie budget changes to contribution margin goals instead of vanity growth.<\/li>\n
    • Improved forecasting:<\/strong> Marginal thinking supports more realistic projections because it accounts for diminishing returns.<\/li>\n
    • Competitive advantage in auctions:<\/strong> In competitive PPC<\/strong> environments, knowing your marginal threshold helps you bid confidently without overpaying.<\/li>\n
    • More credible communication with leadership:<\/strong> Marginal ROAS<\/strong> frames performance as \u201cwhat happens if we spend more\/less,\u201d which is exactly what executives ask.<\/li>\n<\/ul>\n\n\n\n

      4. How Marginal ROAS Works<\/h2>\n\n\n\n

      Marginal ROAS<\/strong> is conceptual, but it becomes practical when you treat budget changes as experiments and measure the incremental outcome.<\/p>\n\n\n\n

      A simple workflow in Paid Marketing<\/strong>:<\/p>\n\n\n\n

        \n
      1. \n

        Input \/ trigger (budget change)<\/strong>\n – You increase or decrease spend (or bids) on a campaign, ad set, audience, geo, or time window in PPC<\/strong>.<\/p>\n<\/li>\n

      2. \n

        Analysis \/ processing (measure incremental impact)<\/strong>\n – You compare performance before vs. after, or test vs. control, to estimate the change in revenue attributable to the spend change.\n – You adjust for obvious confounders when possible (seasonality, promos, inventory, tracking changes).<\/p>\n<\/li>\n

      3. \n

        Execution \/ application (decision rule)<\/strong>\n – If Marginal ROAS<\/strong> is above your profitability threshold, scale.\n – If it\u2019s near the threshold, proceed carefully (smaller increments, more testing).\n – If it\u2019s below the threshold, cut or reallocate.<\/p>\n<\/li>\n

      4. \n

        Output \/ outcome (optimized allocation)<\/strong>\n – Budget shifts toward the highest marginal opportunities across your Paid Marketing<\/strong> portfolio, improving overall efficiency over time.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

        The key idea: Marginal ROAS<\/strong> is not a static number. It changes with spend levels, auction pressure, creative fatigue, and audience saturation\u2014especially in PPC<\/strong>.<\/p>\n\n\n\n

        5. Key Components of Marginal ROAS<\/h2>\n\n\n\n

        Operationalizing Marginal ROAS<\/strong> in Paid Marketing<\/strong> requires both measurement discipline and process clarity.<\/p>\n\n\n\n

        Data inputs you typically need<\/h3>\n\n\n\n
          \n
        • Spend<\/strong> by campaign\/ad set\/ad group over time<\/li>\n
        • Attributed revenue<\/strong> (or conversions with value) over time<\/li>\n
        • Conversion lag<\/strong> assumptions (how long after a click\/view purchases occur)<\/li>\n
        • Profit inputs<\/strong> (AOV, gross margin, shipping\/fulfillment, refund rates) to set thresholds<\/li>\n
        • Segmentation dimensions<\/strong> (audience, geo, device, placement, product category)<\/li>\n<\/ul>\n\n\n\n

          Systems and processes<\/h3>\n\n\n\n
            \n
          • Experimentation framework:<\/strong> Budget lift tests, geo split tests, holdouts, or incrementality tests where feasible<\/li>\n
          • Attribution governance:<\/strong> Clear definitions for conversion windows, deduplication, and channel overlap<\/li>\n
          • Budget change logs:<\/strong> Record when budgets\/bids changed so analysts can interpret shifts<\/li>\n
          • Cross-functional alignment:<\/strong> Marketing, analytics, and finance agree on what \u201cprofitable\u201d means<\/li>\n<\/ul>\n\n\n\n

            Team responsibilities<\/h3>\n\n\n\n
              \n
            • PPC operators<\/strong> manage execution (budgets, bids, creative rotation)<\/li>\n
            • Analysts<\/strong> estimate incremental impact and monitor saturation signals<\/li>\n
            • Finance\/ops<\/strong> provide margin constraints and validate business outcomes<\/li>\n<\/ul>\n\n\n\n

              6. Types of Marginal ROAS<\/h2>\n\n\n\n

              There aren\u2019t universally standardized \u201ctypes\u201d of Marginal ROAS<\/strong>, but there are practical distinctions that matter in real Paid Marketing<\/strong> work:<\/p>\n\n\n\n

              1) Short-term vs. long-term Marginal ROAS<\/h3>\n\n\n\n
                \n
              • Short-term Marginal ROAS<\/strong> focuses on near-term revenue within a defined attribution window.<\/li>\n
              • Long-term Marginal ROAS<\/strong> incorporates downstream value (repeat purchases, subscriptions, or retention), often via LTV models.<\/li>\n<\/ul>\n\n\n\n

                2) Platform-attributed vs. incrementality-adjusted Marginal ROAS<\/h3>\n\n\n\n
                  \n
                • Platform-attributed Marginal ROAS<\/strong> uses the ad platform\u2019s attributed revenue deltas.<\/li>\n
                • Incrementality-adjusted Marginal ROAS<\/strong> attempts to isolate causal lift (accounting for organic demand and channel overlap). This is harder, but more truthful.<\/li>\n<\/ul>\n\n\n\n

                  3) Marginal ROAS by spend band<\/h3>\n\n\n\n

                  Marginal returns often differ at:\n– Low spend (high efficiency)\n– Mid spend (stable scaling)\n– High spend (saturation and diminishing returns)<\/p>\n\n\n\n

                  This spend-band view is especially useful in PPC<\/strong> budgeting discussions.<\/p>\n\n\n\n

                  7. Real-World Examples of Marginal ROAS<\/h2>\n\n\n\n

                  Example 1: Scaling a brand search campaign in PPC<\/h3>\n\n\n\n

                  A company increases daily budget on a high-performing search campaign from $2,000 to $3,000.<\/p>\n\n\n\n

                    \n
                  • Spend change: +$1,000\/day <\/li>\n
                  • Attributed revenue change: +$1,400\/day <\/li>\n<\/ul>\n\n\n\n

                    Marginal ROAS = 1.4<\/strong><\/p>\n\n\n\n

                    If the company needs 2.0 ROAS to be profitable after costs, the average<\/em> ROAS might still look great (because the first $2,000 was extremely efficient), but the Marginal ROAS<\/strong> says the next dollars are below target. In Paid Marketing<\/strong>, this suggests reallocating that incremental $1,000 to higher-marginal opportunities instead of continuing to scale here.<\/p>\n\n\n\n

                    Example 2: Prospecting social campaign with creative fatigue<\/h3>\n\n\n\n

                    A prospecting campaign is scaled by 25% week-over-week. The first increase works well, but the next increase coincides with rising CPMs and declining conversion rate.<\/p>\n\n\n\n

                      \n
                    • Week 1 lift: +$5,000 spend \u2192 +$12,000 revenue (Marginal ROAS 2.4) <\/li>\n
                    • Week 2 lift: +$5,000 spend \u2192 +$6,000 revenue (Marginal ROAS 1.2)<\/li>\n<\/ul>\n\n\n\n

                      The lesson isn\u2019t \u201cprospecting is bad.\u201d The lesson is that Marginal ROAS<\/strong> can reveal saturation and creative fatigue earlier than blended metrics. In PPC<\/strong> and Paid Marketing<\/strong>, that prompts actions like refreshing creatives, adjusting frequency controls, or expanding audiences before scaling further.<\/p>\n\n\n\n

                      Example 3: Reallocating budget across campaigns<\/h3>\n\n\n\n

                      You have two campaigns:<\/p>\n\n\n\n

                        \n
                      • Campaign A marginally returns 1.6 at current spend<\/li>\n
                      • Campaign B marginally returns 2.3 at current spend<\/li>\n<\/ul>\n\n\n\n

                        Even if Campaign A has a higher average<\/em> ROAS, Marginal ROAS<\/strong> suggests new dollars should go to Campaign B. This is the core budget allocation power of Marginal ROAS<\/strong> in Paid Marketing<\/strong>.<\/p>\n\n\n\n

                        8. Benefits of Using Marginal ROAS<\/h2>\n\n\n\n

                        Using Marginal ROAS<\/strong> consistently can produce tangible improvements:<\/p>\n\n\n\n

                          \n
                        • Higher total profit:<\/strong> You shift spend toward the best incremental opportunities rather than the best-looking averages.<\/li>\n
                        • Lower wasted spend:<\/strong> Detect diminishing returns sooner and avoid scaling into inefficient inventory.<\/li>\n
                        • More stable performance:<\/strong> Budget changes become controlled and evidence-based, reducing volatility in PPC<\/strong> results.<\/li>\n
                        • Better customer experience:<\/strong> Less pressure to over-serve ads to the same people, which can reduce ad fatigue and improve brand perception.<\/li>\n
                        • Stronger learning loop:<\/strong> Teams get better at identifying which levers improve incremental<\/em> outcomes (creative, landing pages, offers, targeting).<\/li>\n<\/ul>\n\n\n\n

                          9. Challenges of Marginal ROAS<\/h2>\n\n\n\n

                          Marginal ROAS<\/strong> is powerful, but it\u2019s easy to miscalculate or misinterpret.<\/p>\n\n\n\n

                          Common challenges in Paid Marketing<\/strong> and PPC<\/strong>:<\/p>\n\n\n\n

                            \n
                          • Attribution bias:<\/strong> Platform attribution may over-credit conversions that would have happened anyway.<\/li>\n
                          • Conversion lag:<\/strong> Revenue may appear days or weeks after spend changes, distorting marginal calculations if you measure too quickly.<\/li>\n
                          • Seasonality and promotions:<\/strong> External factors can masquerade as \u201cmarginal lift.\u201d<\/li>\n
                          • Small sample sizes:<\/strong> Minor budget changes may not generate enough signal for reliable Marginal ROAS<\/strong>.<\/li>\n
                          • Cross-channel interactions:<\/strong> Increasing PPC<\/strong> spend can impact organic, email, or direct traffic\u2014making \u201ctrue incrementality\u201d hard to isolate.<\/li>\n
                          • Profit blindness:<\/strong> Revenue-based Marginal ROAS<\/strong> can still be unprofitable if margins vary across products or customer types.<\/li>\n<\/ul>\n\n\n\n

                            10. Best Practices for Marginal ROAS<\/h2>\n\n\n\n

                            To make Marginal ROAS<\/strong> actionable and trustworthy in Paid Marketing<\/strong>:<\/p>\n\n\n\n

                            Use controlled increments<\/h3>\n\n\n\n

                            Change budgets in measured steps (for example 10\u201320%) and hold them long enough to capture conversion lag. Rapid, frequent edits can make Marginal ROAS<\/strong> impossible to interpret.<\/p>\n\n\n\n

                            Define a marginal threshold tied to profit<\/h3>\n\n\n\n

                            Set a minimum acceptable Marginal ROAS<\/strong> based on:\n– Gross margin or contribution margin\n– Expected variable costs\n– Your true \u201cbreak-even ROAS\u201d target<\/p>\n\n\n\n

                            Segment before you scale<\/h3>\n\n\n\n

                            Calculate Marginal ROAS<\/strong> by:\n– Audience (new vs returning)\n– Geo\n– Device\n– Product category\nThis reduces the risk of averaging winners with losers inside a single PPC<\/strong> budget line.<\/p>\n\n\n\n

                            Refresh creative and landing pages when marginal returns fall<\/h3>\n\n\n\n

                            When Marginal ROAS<\/strong> declines, it\u2019s often a signal of fatigue or mismatch\u2014not just \u201ctoo much spend.\u201d Treat it as a prompt to improve the experience, not only to cut budgets.<\/p>\n\n\n\n

                            Pair marginal analysis with incrementality testing when possible<\/h3>\n\n\n\n

                            Even periodic holdouts or geo tests can calibrate how optimistic platform-based Marginal ROAS<\/strong> might be.<\/p>\n\n\n\n

                            11. Tools Used for Marginal ROAS<\/h2>\n\n\n\n

                            Marginal ROAS<\/strong> isn\u2019t a single-tool feature; it\u2019s usually a workflow across systems in Paid Marketing<\/strong>:<\/p>\n\n\n\n

                              \n
                            • Ad platforms:<\/strong> Budget, bid, and targeting controls; campaign-level performance exports for PPC<\/strong><\/li>\n
                            • Analytics tools:<\/strong> Session behavior, conversion paths, and quality signals beyond platform attribution<\/li>\n
                            • Attribution and measurement systems:<\/strong> Deduplication, conversion window management, and modeled attribution where appropriate<\/li>\n
                            • Experimentation tools:<\/strong> Lift tests, holdouts, and statistical analysis for incrementality<\/li>\n
                            • Data warehouses\/lakes:<\/strong> Centralized storage to join spend, revenue, and customer data reliably<\/li>\n
                            • BI and reporting dashboards:<\/strong> Trend monitoring, marginal curves by spend band, and executive reporting<\/li>\n
                            • CRM systems:<\/strong> Customer status (new vs returning), cohort revenue, and downstream value for long-term Marginal ROAS<\/strong><\/li>\n<\/ul>\n\n\n\n

                              12. Metrics Related to Marginal ROAS<\/h2>\n\n\n\n

                              To interpret Marginal ROAS<\/strong> correctly, track adjacent metrics that explain why<\/em> marginal returns are changing:<\/p>\n\n\n\n

                                \n
                              • Average ROAS:<\/strong> Baseline context, but not a scaling signal<\/li>\n
                              • CPA \/ CAC and marginal CPA:<\/strong> Helpful when revenue values vary or when optimizing to acquisitions<\/li>\n
                              • Conversion rate and AOV:<\/strong> Whether marginal revenue changes are driven by intent, experience, or basket size<\/li>\n
                              • CPC and CPM:<\/strong> Auction pressure indicators that often drive diminishing returns in PPC<\/strong><\/li>\n
                              • Impression share \/ reach \/ frequency:<\/strong> Saturation signals (especially for prospecting)<\/li>\n
                              • Incremental conversions \/ lift:<\/strong> When you run tests, lift is the causal companion to Marginal ROAS<\/strong><\/li>\n
                              • Contribution margin ROAS (profit-based ROAS):<\/strong> A more business-accurate target when margins vary<\/li>\n
                              • LTV and payback period:<\/strong> Critical for subscriptions or repeat-purchase businesses in Paid Marketing<\/strong><\/li>\n<\/ul>\n\n\n\n

                                13. Future Trends of Marginal ROAS<\/h2>\n\n\n\n

                                Several trends are pushing Paid Marketing<\/strong> teams to think more marginally:<\/p>\n\n\n\n

                                  \n
                                • More automation, fewer manual levers:<\/strong> As bidding and targeting automate, human advantage shifts toward budgeting and measurement\u2014where Marginal ROAS<\/strong> is central.<\/li>\n
                                • Privacy and signal loss:<\/strong> Less deterministic tracking increases reliance on modeling and experimentation to estimate incremental outcomes.<\/li>\n
                                • Causal measurement mindset:<\/strong> Incrementality testing and geo experimentation are becoming more common as leaders demand evidence beyond attributed ROAS.<\/li>\n
                                • Personalization and creative iteration:<\/strong> Faster creative testing cycles can improve Marginal ROAS<\/strong> by counteracting fatigue and expanding effective audience segments.<\/li>\n
                                • Portfolio optimization across channels:<\/strong> Teams will increasingly manage Marginal ROAS<\/strong> across a mixed PPC<\/strong> portfolio rather than inside isolated campaigns.<\/li>\n<\/ul>\n\n\n\n

                                  14. Marginal ROAS vs Related Terms<\/h2>\n\n\n\n

                                  Marginal ROAS vs Average ROAS<\/h3>\n\n\n\n
                                    \n
                                  • Average ROAS<\/strong> = total revenue \u00f7 total spend <\/li>\n
                                  • Marginal ROAS<\/strong> = change in revenue \u00f7 change in spend\nAverage tells you how the campaign performed overall; marginal tells you what happens if you scale or cut budget now. In Paid Marketing<\/strong>, scaling decisions should lean on marginal.<\/li>\n<\/ul>\n\n\n\n

                                    Marginal ROAS vs Incremental ROAS<\/h3>\n\n\n\n

                                    These are closely related and often confused.\n– Marginal ROAS<\/strong> describes the return on the next dollars spent.\n– Incremental ROAS<\/strong> emphasizes causal lift<\/em> attributable to advertising versus a counterfactual.\nIn practice, teams often estimate Marginal ROAS<\/strong> using observed deltas, then refine with incrementality tests to validate causality.<\/p>\n\n\n\n

                                    Marginal ROAS vs Marketing Efficiency Ratio (MER)<\/h3>\n\n\n\n
                                      \n
                                    • MER<\/strong> = total revenue \u00f7 total marketing spend (often across channels)\nMER is a blended business-level metric; Marginal ROAS<\/strong> is a decision-level metric for where to place the next dollar, especially within PPC<\/strong>.<\/li>\n<\/ul>\n\n\n\n

                                      15. Who Should Learn Marginal ROAS<\/h2>\n\n\n\n
                                        \n
                                      • Marketers and PPC practitioners:<\/strong> To scale budgets without destroying efficiency and to justify spend changes with clear logic.<\/li>\n
                                      • Analysts and data teams:<\/strong> To build marginal curves, test designs, and decision dashboards for Paid Marketing<\/strong>.<\/li>\n
                                      • Agencies:<\/strong> To communicate optimization strategy in business terms and defend recommendations beyond surface ROAS.<\/li>\n
                                      • Business owners and founders:<\/strong> To understand when growth spend is truly profitable and when it\u2019s simply buying revenue at a loss.<\/li>\n
                                      • Developers and data engineers:<\/strong> To implement clean spend\/revenue pipelines and experimentation infrastructure that make Marginal ROAS<\/strong> measurable.<\/li>\n<\/ul>\n\n\n\n

                                        16. Summary of Marginal ROAS<\/h2>\n\n\n\n

                                        Marginal ROAS<\/strong> measures the additional revenue produced by additional ad spend. It matters because Paid Marketing<\/strong> performance changes as you scale, and average metrics can hide diminishing returns. In PPC<\/strong>, where budgets and bids directly shape auction exposure, Marginal ROAS<\/strong> supports smarter scaling, clearer profitability guardrails, and better budget allocation across campaigns and audiences.<\/p>\n\n\n\n

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

                                        1) What is Marginal ROAS in simple terms?<\/h3>\n\n\n\n

                                        Marginal ROAS<\/strong> is what you earn back from the next<\/em> dollar you spend on ads. It focuses on incremental changes, not overall averages.<\/p>\n\n\n\n

                                        2) How do I calculate Marginal ROAS quickly?<\/h3>\n\n\n\n

                                        Measure the change in revenue after a spend change and divide by the change in spend:\nMarginal ROAS = \u0394Revenue \u00f7 \u0394Spend<\/strong>. Use consistent time windows and account for conversion lag.<\/p>\n\n\n\n

                                        3) What\u2019s a \u201cgood\u201d Marginal ROAS?<\/h3>\n\n\n\n

                                        A \u201cgood\u201d Marginal ROAS<\/strong> is one that exceeds your break-even threshold after accounting for margin and variable costs. Many teams set a minimum marginal target that is higher than break-even to maintain profit and absorb uncertainty.<\/p>\n\n\n\n

                                        4) Can Marginal ROAS be negative?<\/h3>\n\n\n\n

                                        Yes. If you increase spend and revenue drops (or doesn\u2019t increase), the calculated Marginal ROAS<\/strong> can be zero or negative\u2014often signaling saturation, tracking issues, or external demand changes.<\/p>\n\n\n\n

                                        5) How does Marginal ROAS help in PPC optimization?<\/h3>\n\n\n\n

                                        In PPC<\/strong>, Marginal ROAS<\/strong> guides whether to raise budgets, expand targeting, or pull back. It\u2019s especially useful when average ROAS looks strong but additional spend is becoming inefficient.<\/p>\n\n\n\n

                                        6) Should I trust platform-reported Marginal ROAS?<\/h3>\n\n\n\n

                                        Treat platform-reported marginal changes as directional. For higher confidence in Paid Marketing<\/strong>, validate with controlled tests, longer measurement windows, and cross-channel analysis where possible.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                        Marginal ROAS is one of the most useful concepts in modern **Paid Marketing** because it answers a question that average performance metrics can\u2019t: *What do I get back from the next dollar I spend?* In **PPC**, where budgets can scale up or down in minutes, understanding this \u201cnext increment\u201d return is often the difference between profitable growth and expensive waste.<\/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":[1909],"tags":[],"class_list":["post-10400","post","type-post","status-publish","format-standard","hentry","category-ppc"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/10400","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=10400"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/10400\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=10400"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=10400"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=10400"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}