{"id":9284,"date":"2026-03-27T15:58:11","date_gmt":"2026-03-27T15:58:11","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/influencer-roas\/"},"modified":"2026-03-27T15:58:11","modified_gmt":"2026-03-27T15:58:11","slug":"influencer-roas","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/influencer-roas\/","title":{"rendered":"Influencer ROAS: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Influencer Marketing"},"content":{"rendered":"\n

Influencer ROAS is a practical way to quantify how much revenue your brand earns for every dollar invested in influencer work. In Organic Marketing<\/strong>, where results often come from trust, content, and community rather than pure ad spend, Influencer ROAS<\/strong> helps you connect creator activity to business outcomes without reducing everything to vanity metrics.<\/p>\n\n\n\n

As Influencer Marketing<\/strong> matures, teams are expected to defend budgets with the same rigor used for paid media and lifecycle programs. Influencer ROAS<\/strong> matters because it turns influencer decisions\u2014creator selection, content formats, seeding vs. paid amplification, affiliate structures\u2014into measurable financial performance that can be optimized and scaled.<\/p>\n\n\n\n

What Is Influencer ROAS?<\/h2>\n\n\n\n

Influencer ROAS<\/strong> (return on ad spend applied to influencer investment) measures revenue generated per unit of spend on influencer initiatives. While \u201cROAS\u201d is traditionally associated with ads, the logic transfers well: you invest money (fees, product, production, platform costs), and you measure the revenue attributed to those efforts.<\/p>\n\n\n\n

At its core, Influencer ROAS<\/strong> answers a simple business question: Did this influencer activity return more money than it cost, and by how much?<\/em> A basic formula is:<\/p>\n\n\n\n

    \n
  • Influencer ROAS = Attributed Revenue \u00f7 Influencer Spend<\/strong><\/li>\n<\/ul>\n\n\n\n

    The \u201cbusiness meaning\u201d is straightforward:\n– A higher Influencer ROAS<\/strong> indicates stronger efficiency per dollar invested.\n– A lower Influencer ROAS<\/strong> suggests you may need to refine creators, offers, attribution, landing pages, or measurement windows.<\/p>\n\n\n\n

    In Organic Marketing<\/strong>, Influencer ROAS<\/strong> sits at the intersection of content and commerce. Influencer content can drive discovery, search demand, direct traffic, email signups, and referrals. In Influencer Marketing<\/strong>, it becomes a cornerstone metric used to compare creators, campaigns, and content types\u2014especially when you need to decide what to renew, expand, or stop.<\/p>\n\n\n\n

    Why Influencer ROAS Matters in Organic Marketing<\/h2>\n\n\n\n

    Organic Marketing<\/strong> depends on compounding effects: credibility, word-of-mouth, and content that continues to perform after posting. Influencer ROAS<\/strong> provides a disciplined way to evaluate those effects without guessing.<\/p>\n\n\n\n

    Key reasons it matters:<\/p>\n\n\n\n

      \n
    • Budget accountability:<\/strong> Influencer programs often include variable costs (fees, gifting, shipping, usage rights). Influencer ROAS<\/strong> makes tradeoffs visible.<\/li>\n
    • Smarter creator strategy:<\/strong> It helps you understand which creators drive purchases versus awareness, and which audience segments convert.<\/li>\n
    • Improved forecasting:<\/strong> If you can estimate Influencer ROAS<\/strong> by creator tier or content format, you can plan launches and inventory with more confidence.<\/li>\n
    • Competitive advantage:<\/strong> Brands that measure well can move faster\u2014renewing top performers, negotiating better terms, and building creator \u201cportfolios\u201d that compound over time.<\/li>\n<\/ul>\n\n\n\n

      In modern Influencer Marketing<\/strong>, measuring is part of relationship building too. When you can show creators what drove results (hooks, messaging, formats), you collaborate better and produce more effective content.<\/p>\n\n\n\n

      How Influencer ROAS Works<\/h2>\n\n\n\n

      In practice, Influencer ROAS<\/strong> works as a measurement workflow that turns influencer activity into attributable outcomes.<\/p>\n\n\n\n

        \n
      1. \n

        Inputs (investment and campaign design)<\/strong>\n – Creator fees, product seeding costs, affiliate commissions, and internal labor\n – Brief, content deliverables, and campaign timing\n – Offers (discounts, bundles), landing pages, and conversion paths<\/p>\n<\/li>\n

      2. \n

        Tracking and attribution (capturing demand and outcomes)<\/strong>\n – Unique discount codes, affiliate links, UTM-tagged URLs, and dedicated landing pages\n – Post-purchase \u201chow did you hear about us?\u201d surveys for Organic Marketing<\/strong> lift\n – CRM matching where possible (email capture \u2192 purchase)<\/p>\n<\/li>\n

      3. \n

        Measurement and analysis (turning data into a ratio)<\/strong>\n – Aggregate attributed revenue by creator, post, platform, and time window\n – Normalize spend (include fees, commissions, gifting, production, and tooling)\n – Calculate Influencer ROAS<\/strong> and compare against targets and baselines<\/p>\n<\/li>\n

      4. \n

        Application (optimization and scaling)<\/strong>\n – Reallocate budget toward the creators\/content types with higher Influencer ROAS<\/strong>\n – Improve conversion rates via stronger landing pages, better offer framing, and tighter audience fit\n – Use learnings to refine briefs, product selection, and posting cadence<\/p>\n<\/li>\n<\/ol>\n\n\n\n

        Because Organic Marketing<\/strong> effects can lag, many teams evaluate Influencer ROAS<\/strong> across multiple windows (for example, 7-day, 30-day, and 90-day performance) to avoid undercounting late conversions.<\/p>\n\n\n\n

        Key Components of Influencer ROAS<\/h2>\n\n\n\n

        Strong Influencer ROAS<\/strong> measurement depends on reliable inputs and consistent operations.<\/p>\n\n\n\n

        Data inputs<\/h3>\n\n\n\n
          \n
        • Influencer spend: fees, commission, product costs (at cost or retail\u2014define consistently), shipping, and production costs<\/li>\n
        • Revenue data: order value, refunds, cancellations, and repeat purchases<\/li>\n
        • Engagement and traffic data: clicks, landing page sessions, assisted conversions<\/li>\n<\/ul>\n\n\n\n

          Systems and processes<\/h3>\n\n\n\n
            \n
          • Standardized campaign naming conventions (creator, platform, month, product line)<\/li>\n
          • Tracking setup (codes, links, landing pages) and QA checks<\/li>\n
          • A consistent attribution policy (what counts, what doesn\u2019t, and why)<\/li>\n<\/ul>\n\n\n\n

            Governance and responsibilities<\/h3>\n\n\n\n
              \n
            • Marketing owns briefs, creator selection, and content QA<\/li>\n
            • Analytics defines attribution logic and reporting standards<\/li>\n
            • Finance aligns on cost treatment (especially product seeding and internal labor)<\/li>\n
            • Partnerships\/legal manages usage rights and compliance requirements<\/li>\n<\/ul>\n\n\n\n

              In Influencer Marketing<\/strong>, measurement fails most often when ownership is unclear. Influencer ROAS<\/strong> improves when teams agree on definitions before the campaign launches.<\/p>\n\n\n\n

              Types of Influencer ROAS<\/h2>\n\n\n\n

              There aren\u2019t universally \u201cofficial\u201d types, but there are common and practical distinctions that affect how Influencer ROAS<\/strong> is interpreted.<\/p>\n\n\n\n

              1) Direct-response vs. brand-influenced ROAS<\/h3>\n\n\n\n
                \n
              • Direct-response Influencer ROAS:<\/strong> Revenue tied to trackable actions (codes, affiliate links).<\/li>\n
              • Brand-influenced Influencer ROAS:<\/strong> Revenue influenced through awareness and trust that converts later via branded search, email, or retail. This is common in Organic Marketing<\/strong> and requires triangulation (surveys, lift analysis, time-series trends).<\/li>\n<\/ul>\n\n\n\n

                2) Last-touch vs. multi-touch Influencer ROAS<\/h3>\n\n\n\n
                  \n
                • Last-touch:<\/strong> Credits the final interaction before purchase. Simple, but often undervalues top-of-funnel creators.<\/li>\n
                • Multi-touch:<\/strong> Shares credit across steps (influencer \u2192 retargeting \u2192 email \u2192 purchase). More realistic, but more complex.<\/li>\n<\/ul>\n\n\n\n

                  3) Short-window vs. long-window Influencer ROAS<\/h3>\n\n\n\n
                    \n
                  • Short windows capture impulse buys.<\/li>\n
                  • Long windows capture consideration cycles and repeat purchases\u2014important in subscription, beauty, and higher-priced categories.<\/li>\n<\/ul>\n\n\n\n

                    4) Creator-level vs. program-level Influencer ROAS<\/h3>\n\n\n\n
                      \n
                    • Creator-level:<\/strong> Optimizes individual partnerships.<\/li>\n
                    • Program-level:<\/strong> Evaluates the whole Influencer Marketing<\/strong> engine, including tooling and team costs.<\/li>\n<\/ul>\n\n\n\n

                      Real-World Examples of Influencer ROAS<\/h2>\n\n\n\n

                      Example 1: Product seeding for a DTC brand (Organic-first)<\/h3>\n\n\n\n

                      A skincare brand sends products to 50 micro-creators with no guaranteed posts, focusing on Organic Marketing<\/strong> reach and authentic testimonials. Ten creators post, and five opt into affiliate links.<\/p>\n\n\n\n

                        \n
                      • Spend includes product cost, shipping, and affiliate commission.<\/li>\n
                      • Revenue is tracked via affiliate links plus a post-purchase survey showing additional \u201ccreator mentioned\u201d attribution.<\/li>\n
                      • The brand calculates Influencer ROAS<\/strong> at the program level to decide whether to expand seeding or shift to paid collaborations.<\/li>\n<\/ul>\n\n\n\n

                        Example 2: Paid creator campaign with unique landing pages<\/h3>\n\n\n\n

                        A fitness app runs a structured Influencer Marketing<\/strong> push with mid-tier creators. Each creator gets:\n– a unique landing page,\n– a unique promo code,\n– and a tailored offer.<\/p>\n\n\n\n

                        This setup improves tracking and increases conversion rate. The team compares Influencer ROAS<\/strong> across platforms (short-form video vs. long-form) and discovers that fewer creators with better audience alignment outperform a larger, generic roster.<\/p>\n\n\n\n

                        Example 3: Retail + online measurement blend<\/h3>\n\n\n\n

                        A beverage brand works with creators to drive store visits and online purchases. Online sales are trackable; retail is not fully trackable.<\/p>\n\n\n\n

                        The team estimates Influencer ROAS<\/strong> using:\n– online attributed revenue from codes,\n– regional sales lift during the campaign window,\n– and survey responses about purchase location.<\/p>\n\n\n\n

                        This hybrid approach is common when Organic Marketing<\/strong> and offline distribution overlap.<\/p>\n\n\n\n

                        Benefits of Using Influencer ROAS<\/h2>\n\n\n\n

                        Using Influencer ROAS<\/strong> well produces concrete operational and financial improvements:<\/p>\n\n\n\n

                          \n
                        • Better performance per dollar:<\/strong> You can identify which creators, products, and messages generate the most revenue.<\/li>\n
                        • Cost control:<\/strong> Clear spend definitions highlight hidden costs (gifting, revisions, production), enabling tighter scopes and better negotiations.<\/li>\n
                        • Higher efficiency in creative testing:<\/strong> Instead of guessing, you can link formats (tutorials, reviews, \u201cday in the life\u201d) to outcomes.<\/li>\n
                        • Improved audience experience:<\/strong> When you optimize using Influencer ROAS<\/strong>, you tend to select creators with genuine fit\u2014leading to more relevant recommendations and less \u201cforced\u201d promotion.<\/li>\n
                        • Stronger cross-channel alignment:<\/strong> Organic Marketing<\/strong> benefits when influencer learnings inform SEO content, email nurture, and community management.<\/li>\n<\/ul>\n\n\n\n

                          Challenges of Influencer ROAS<\/h2>\n\n\n\n

                          Influencer ROAS<\/strong> is powerful, but it has limitations that must be managed.<\/p>\n\n\n\n

                            \n
                          • Attribution gaps:<\/strong> People may watch a creator, then buy later via branded search or another device. This can undercount influencer impact.<\/li>\n
                          • Platform data constraints:<\/strong> Privacy changes and limited referrer data reduce visibility into user journeys\u2014especially for Organic Marketing<\/strong> paths.<\/li>\n
                          • Code leakage and deal sites:<\/strong> Promo codes can spread beyond the creator\u2019s audience, inflating revenue credit.<\/li>\n
                          • Baseline ambiguity:<\/strong> If your brand is already growing, separating incremental lift from \u201cwould have happened anyway\u201d is hard.<\/li>\n
                          • Inconsistent cost accounting:<\/strong> Treating gifted product as \u201cfree\u201d in one campaign and as a cost in another makes Influencer ROAS<\/strong> comparisons unreliable.<\/li>\n
                          • Creative variability:<\/strong> Performance can be driven by timing, trends, or creator storytelling quality\u2014factors that are difficult to standardize.<\/li>\n<\/ul>\n\n\n\n

                            Best Practices for Influencer ROAS<\/h2>\n\n\n\n

                            To make Influencer ROAS<\/strong> trustworthy and actionable:<\/p>\n\n\n\n

                              \n
                            1. \n

                              Define spend consistently<\/strong>\n – Include fees, commissions, product cost policy, shipping, and production.\n – Document what you exclude (for example, fixed salaries) and why.<\/p>\n<\/li>\n

                            2. \n

                              Standardize attribution rules<\/strong>\n – Decide on windows (7\/30\/90 days).\n – Decide how you handle returns, cancellations, and subscription renewals.<\/p>\n<\/li>\n

                            3. \n

                              Use multiple measurement methods<\/strong>\n – Combine codes\/links with surveys and trend analysis.\n – In Organic Marketing<\/strong>, triangulation is often more accurate than any single source.<\/p>\n<\/li>\n

                            4. \n

                              Optimize conversion paths<\/strong>\n – Use creator-specific landing pages when possible.\n – Match the landing page to the content promise (message continuity).<\/p>\n<\/li>\n

                            5. \n

                              Benchmark and segment<\/strong>\n – Compare Influencer ROAS<\/strong> by creator tier, platform, content format, and product category.\n – Avoid judging a top-of-funnel creator by the same target as a direct-response creator.<\/p>\n<\/li>\n

                            6. \n

                              Build a testing cadence<\/strong>\n – Treat briefs as hypotheses: hook, offer, CTA, product focus.\n – Keep a learning log so Influencer Marketing<\/strong> improves campaign over campaign.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                              Tools Used for Influencer ROAS<\/h2>\n\n\n\n

                              You don\u2019t need a single \u201cmagic tool\u201d for Influencer ROAS<\/strong>. You need an integrated measurement stack.<\/p>\n\n\n\n

                                \n
                              • Analytics tools:<\/strong> Track sessions, conversions, assisted conversions, and landing page performance.<\/li>\n
                              • Affiliate and partner tracking systems:<\/strong> Manage links, codes, commissions, and creator payouts.<\/li>\n
                              • CRM systems:<\/strong> Connect influencer-driven leads to downstream purchases and retention\u2014important for Organic Marketing<\/strong> journeys.<\/li>\n
                              • Ecommerce reporting:<\/strong> Revenue, refunds, AOV, subscription renewals, and cohort performance.<\/li>\n
                              • Tag management and event tracking:<\/strong> Ensure UTMs, events, and conversion APIs are implemented correctly.<\/li>\n
                              • Reporting dashboards:<\/strong> Consolidate spend + revenue + engagement into creator and campaign scorecards.<\/li>\n
                              • SEO tools (supporting role):<\/strong> Monitor branded search lift, content opportunities, and how influencer activity correlates with demand signals in Organic Marketing<\/strong>.<\/li>\n<\/ul>\n\n\n\n

                                Metrics Related to Influencer ROAS<\/h2>\n\n\n\n

                                Influencer ROAS<\/strong> is the headline ratio, but it becomes meaningful when paired with supporting metrics:<\/p>\n\n\n\n

                                Revenue and efficiency metrics<\/h3>\n\n\n\n
                                  \n
                                • Attributed revenue (by creator, post, platform)<\/li>\n
                                • Cost per acquisition (CPA) from influencer-driven traffic<\/li>\n
                                • Average order value (AOV) and contribution margin (when available)<\/li>\n
                                • Refund and return rate for influencer-attributed orders<\/li>\n
                                • New customer rate vs. existing customer rate<\/li>\n<\/ul>\n\n\n\n

                                  Funnel and behavior metrics<\/h3>\n\n\n\n
                                    \n
                                  • Landing page conversion rate<\/li>\n
                                  • Click-through rate (CTR) on tracked links<\/li>\n
                                  • Email\/SMS signup rate from influencer traffic<\/li>\n
                                  • Assisted conversions and time-to-convert (important in Organic Marketing<\/strong>)<\/li>\n<\/ul>\n\n\n\n

                                    Brand and quality metrics<\/h3>\n\n\n\n
                                      \n
                                    • Brand search volume changes (directional signal)<\/li>\n
                                    • Sentiment and comment quality (not just count)<\/li>\n
                                    • Creator-audience fit indicators (saves, shares, meaningful replies)<\/li>\n<\/ul>\n\n\n\n

                                      Future Trends of Influencer ROAS<\/h2>\n\n\n\n

                                      Several shifts are changing how Influencer ROAS<\/strong> is measured and improved:<\/p>\n\n\n\n

                                        \n
                                      • AI-assisted analysis:<\/strong> Faster tagging of content themes, hook types, and sentiment\u2014helpful for identifying what drives higher Influencer ROAS<\/strong>.<\/li>\n
                                      • More automation in creator ops:<\/strong> Brief generation, asset approvals, payout workflows, and performance alerts reduce operational overhead.<\/li>\n
                                      • Incrementality focus:<\/strong> Brands will lean more on lift tests, holdouts, and geo-based experiments to estimate true incremental impact beyond last-click tracking.<\/li>\n
                                      • Privacy-driven measurement:<\/strong> With reduced cross-site visibility, Organic Marketing<\/strong> measurement will rely more on first-party data, surveys, and modeled attribution.<\/li>\n
                                      • Personalization and segmentation:<\/strong> Better matching creators to micro-audiences will raise conversion rates and stabilize Influencer ROAS<\/strong>.<\/li>\n
                                      • Multi-format creator ecosystems:<\/strong> The best-performing programs will combine short-form video, long-form education, community, and search-aligned content\u2014blending Influencer Marketing<\/strong> with evergreen Organic Marketing<\/strong> assets.<\/li>\n<\/ul>\n\n\n\n

                                        Influencer ROAS vs Related Terms<\/h2>\n\n\n\n

                                        Influencer ROAS vs ROI<\/h3>\n\n\n\n
                                          \n
                                        • Influencer ROAS<\/strong> typically focuses on revenue \u00f7 spend<\/em>.<\/li>\n
                                        • ROI<\/strong> often considers profit<\/em> (or net return) after costs like COGS, shipping, and overhead.\nIf margins vary widely by product, ROI can be more decision-useful than Influencer ROAS<\/strong> alone.<\/li>\n<\/ul>\n\n\n\n

                                          Influencer ROAS vs CAC<\/h3>\n\n\n\n
                                            \n
                                          • CAC<\/strong> (customer acquisition cost) is cost per new customer<\/em>.<\/li>\n
                                          • Influencer ROAS<\/strong> is revenue per dollar spent<\/em> and can include existing-customer purchases unless you segment it.\nFor subscription businesses, pairing Influencer ROAS<\/strong> with new-customer CAC and retention metrics is essential.<\/li>\n<\/ul>\n\n\n\n

                                            Influencer ROAS vs Engagement Rate<\/h3>\n\n\n\n

                                            Engagement rate reflects attention, not revenue. In Influencer Marketing<\/strong>, engagement can be a leading indicator, but Influencer ROAS<\/strong> is the outcome metric that validates whether attention turned into business impact.<\/p>\n\n\n\n

                                            Who Should Learn Influencer ROAS<\/h2>\n\n\n\n
                                              \n
                                            • Marketers:<\/strong> To justify budgets, optimize creator mix, and align Organic Marketing<\/strong> with revenue goals.<\/li>\n
                                            • Analysts:<\/strong> To design attribution approaches, dashboards, and incrementality tests for Influencer ROAS<\/strong>.<\/li>\n
                                            • Agencies:<\/strong> To prove value, report consistently, and create repeatable optimization playbooks across clients.<\/li>\n
                                            • Business owners and founders:<\/strong> To decide whether to scale Influencer Marketing<\/strong>, shift spend, or adjust pricing and offers.<\/li>\n
                                            • Developers and data teams:<\/strong> To implement tracking, event schemas, clean integrations, and reliable data pipelines supporting Influencer ROAS<\/strong>.<\/li>\n<\/ul>\n\n\n\n

                                              Summary of Influencer ROAS<\/h2>\n\n\n\n

                                              Influencer ROAS<\/strong> measures how much revenue your influencer efforts generate for every dollar invested. It matters because it brings financial clarity to Influencer Marketing<\/strong> and helps teams prioritize what works\u2014creators, formats, and conversion paths\u2014without relying on guesswork. Within Organic Marketing<\/strong>, Influencer ROAS<\/strong> is especially valuable when paired with longer measurement windows and blended attribution methods, since influence often compounds over time. Used well, it turns creator partnerships into a scalable, optimizable growth channel.<\/p>\n\n\n\n

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

                                              1) What is Influencer ROAS and how do I calculate it?<\/h3>\n\n\n\n

                                              Influencer ROAS<\/strong> is attributed revenue divided by influencer-related spend. Add up campaign costs (fees, commissions, product costs per your policy) and divide the attributed revenue from codes\/links and other agreed attribution methods by that spend.<\/p>\n\n\n\n

                                              2) Is Influencer ROAS only for paid collaborations?<\/h3>\n\n\n\n

                                              No. You can calculate Influencer ROAS<\/strong> for seeding, affiliate-only programs, ambassador communities, and hybrid programs. The key is consistent cost accounting and a clear attribution approach.<\/p>\n\n\n\n

                                              3) How does Influencer Marketing attribution affect ROAS?<\/h3>\n\n\n\n

                                              Attribution determines which orders get credited to a creator. Last-touch tends to undercount top-of-funnel impact; multi-touch and blended methods can better reflect reality, especially when Organic Marketing<\/strong> paths (search, email, word-of-mouth) are involved.<\/p>\n\n\n\n

                                              4) What\u2019s a \u201cgood\u201d Influencer ROAS benchmark?<\/h3>\n\n\n\n

                                              There is no universal number. A \u201cgood\u201d Influencer ROAS<\/strong> depends on margins, product category, customer lifetime value, and goals (awareness vs. direct response). Compare against your own baselines by creator tier and campaign type.<\/p>\n\n\n\n

                                              5) How do I measure Influencer ROAS when customers don\u2019t use promo codes?<\/h3>\n\n\n\n

                                              Use multiple signals: tracked links where possible, dedicated landing pages, post-purchase surveys, time-window analysis, and cohort comparisons. In Organic Marketing<\/strong>, triangulating signals is often more reliable than relying on a single metric.<\/p>\n\n\n\n

                                              6) Should I include gifted product and internal labor in Influencer ROAS spend?<\/h3>\n\n\n\n

                                              Include them if they are material and recurring, but be consistent. Many teams include product at cost (not retail) and track internal labor separately, then review Influencer ROAS<\/strong> alongside operational efficiency metrics.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                              Influencer ROAS is a practical way to quantify how much revenue your brand earns for every dollar invested in influencer work. In **Organic Marketing**, where results often come from trust, content, and community rather than pure ad spend, **Influencer ROAS** helps you connect creator activity to business outcomes without reducing everything to vanity 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":[1903],"tags":[],"class_list":["post-9284","post","type-post","status-publish","format-standard","hentry","category-influencer-marketing"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/9284","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=9284"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/9284\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=9284"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=9284"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=9284"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}