{"id":10565,"date":"2026-03-29T14:35:49","date_gmt":"2026-03-29T14:35:49","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/paid-social-dashboard\/"},"modified":"2026-03-29T14:35:49","modified_gmt":"2026-03-29T14:35:49","slug":"paid-social-dashboard","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/paid-social-dashboard\/","title":{"rendered":"Paid Social Dashboard: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Paid Social"},"content":{"rendered":"\n

A Paid Social Dashboard<\/strong> is a centralized reporting view that turns messy campaign data into clear, decision-ready insights for Paid Marketing<\/strong> teams. In the world of Paid Social<\/strong>, where budgets, creative, audiences, and algorithms change daily, a dashboard helps you see what\u2019s working, what\u2019s wasting spend, and what needs testing\u2014without living inside ad platforms all day.<\/p>\n\n\n\n

A strong Paid Social Dashboard<\/strong> matters because modern Paid Marketing<\/strong> is no longer just \u201claunch and hope.\u201d It\u2019s continuous optimization: creative iteration, audience refinement, bidding adjustments, and measurement validation. The dashboard becomes the shared source of truth that aligns marketers, analysts, and stakeholders around performance and next actions.<\/p>\n\n\n\n

What Is Paid Social Dashboard?<\/h2>\n\n\n\n

A Paid Social Dashboard<\/strong> is an organized set of reports and visualizations that monitor and explain results from Paid Social<\/strong> campaigns (and often their downstream business impact). It typically combines data such as spend, impressions, clicks, conversions, revenue, and creative performance into a format that supports daily decisions and strategic planning.<\/p>\n\n\n\n

At its core, the concept is simple: consolidate key performance indicators (KPIs) from multiple sources into one place, then make them understandable through consistent definitions, segmentation, and trends. Business-wise, a Paid Social Dashboard<\/strong> reduces guesswork and speeds up optimization cycles\u2014critical benefits for any Paid Marketing<\/strong> program managing multiple campaigns, regions, or product lines.<\/p>\n\n\n\n

Within Paid Marketing<\/strong>, it sits at the intersection of planning and execution: it tracks budget pacing, evaluates efficiency, and surfaces insights that guide creative, targeting, and landing page improvements. Inside Paid Social<\/strong>, it often functions as the operational command center for performance management.<\/p>\n\n\n\n

Why Paid Social Dashboard Matters in Paid Marketing<\/h2>\n\n\n\n

A Paid Social Dashboard<\/strong> is not just reporting; it\u2019s a performance system. In Paid Marketing<\/strong>, small improvements in targeting, creative relevance, or conversion rate can materially change ROI. A dashboard makes those improvements easier to identify and prioritize.<\/p>\n\n\n\n

Key ways it delivers value:<\/p>\n\n\n\n

    \n
  • Strategic focus:<\/strong> It highlights the few metrics that matter most to your objectives (pipeline, purchases, leads, retention), rather than drowning teams in platform-level noise. <\/li>\n
  • Faster decisions:<\/strong> Teams can spot performance swings early (rising CPA, dropping ROAS, creative fatigue) and react before wasted spend accumulates. <\/li>\n
  • Budget accountability:<\/strong> It supports pacing and forecasting\u2014essential in Paid Marketing<\/strong> environments where spend is planned weekly, monthly, or quarterly. <\/li>\n
  • Competitive advantage:<\/strong> Organizations with reliable dashboards learn faster. Over time, faster learning compounds into better creative strategy, audience knowledge, and unit economics.<\/li>\n<\/ul>\n\n\n\n

    How Paid Social Dashboard Works<\/h2>\n\n\n\n

    A Paid Social Dashboard<\/strong> \u201cworks\u201d through a practical workflow that turns raw data into actions:<\/p>\n\n\n\n

      \n
    1. \n

      Inputs (data collection)<\/strong>\n Data is pulled from ad platforms, analytics, and sometimes CRM systems. Inputs typically include campaign delivery (impressions), engagement (clicks), cost (spend), and outcomes (conversions, revenue).<\/p>\n<\/li>\n

    2. \n

      Processing (cleaning and standardization)<\/strong>\n Metrics are aligned across sources using consistent definitions (for example, what counts as a conversion). Naming conventions, UTM parameters, and mapping rules help tie campaigns to channels, regions, and funnel stages.<\/p>\n<\/li>\n

    3. \n

      Analysis (segmentation and interpretation)<\/strong>\n The dashboard breaks performance down by dimensions that matter: campaign, ad set, creative, audience, placement, device, geography, and time. Many dashboards include comparisons to targets, prior periods, or benchmarks.<\/p>\n<\/li>\n

    4. \n

      Application (decision-making and optimization)<\/strong>\n Teams use insights to take action: shift budgets, pause underperformers, refresh creative, adjust landing pages, or refine audiences. In mature Paid Social<\/strong> programs, dashboards also guide experiment planning and incrementality testing.<\/p>\n<\/li>\n

    5. \n

      Outputs (shared reporting and learning)<\/strong>\n The outcome is a shared view of performance that supports weekly business reviews, stakeholder updates, and a documented learning loop for future Paid Marketing<\/strong> planning.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

      Key Components of Paid Social Dashboard<\/h2>\n\n\n\n

      A robust Paid Social Dashboard<\/strong> is built from several essential elements:<\/p>\n\n\n\n

      Data sources and inputs<\/h3>\n\n\n\n
        \n
      • Ad platform delivery and cost data (campaign\/ad set\/ad level)<\/li>\n
      • Web analytics events and conversions<\/li>\n
      • Server-side events or conversion APIs where applicable<\/li>\n
      • CRM or sales data (leads, opportunities, revenue) for full-funnel Paid Marketing<\/strong> measurement<\/li>\n<\/ul>\n\n\n\n

        Metrics framework<\/h3>\n\n\n\n
          \n
        • A defined KPI hierarchy (north-star metric, supporting metrics, diagnostic metrics)<\/li>\n
        • Clear attribution assumptions (what the dashboard measures vs what it cannot prove)<\/li>\n<\/ul>\n\n\n\n

          Segmentation and dimensions<\/h3>\n\n\n\n
            \n
          • Campaign objectives and funnel stage (prospecting vs retargeting)<\/li>\n
          • Audience type (lookalike, interest, customer list)<\/li>\n
          • Creative attributes (format, message angle, offer)<\/li>\n
          • Placement and device performance<\/li>\n<\/ul>\n\n\n\n

            Governance and responsibilities<\/h3>\n\n\n\n
              \n
            • Who owns data integrity (analytics\/ops)<\/li>\n
            • Who owns optimization decisions (channel manager)<\/li>\n
            • Who approves KPI definitions (marketing leadership)<\/li>\n
            • How changes are documented (changelog for tracking shifts in performance interpretation)<\/li>\n<\/ul>\n\n\n\n

              Reporting cadence<\/h3>\n\n\n\n
                \n
              • Daily monitoring views for operators<\/li>\n
              • Weekly performance review views for teams<\/li>\n
              • Monthly\/quarterly views for executives focused on outcomes and efficiency<\/li>\n<\/ul>\n\n\n\n

                Types of Paid Social Dashboard<\/h2>\n\n\n\n

                There aren\u2019t universally \u201cofficial\u201d types, but in practice a Paid Social Dashboard<\/strong> is commonly designed for different audiences and decisions:<\/p>\n\n\n\n

                  \n
                1. \n

                  Executive summary dashboard<\/strong>\n High-level outcomes: spend, revenue\/pipeline, ROAS, CAC\/CPA, pacing to targets. Minimal detail, maximum clarity.<\/p>\n<\/li>\n

                2. \n

                  Optimization dashboard (operator view)<\/strong>\n Built for daily action: performance by campaign\/ad set\/ad, creative fatigue indicators, frequency, cost trends, and conversion rate shifts.<\/p>\n<\/li>\n

                3. \n

                  Creative performance dashboard<\/strong>\n Focused on what\u2019s resonating: thumbstop metrics (like video views), click-through rate, engagement quality, and creative-by-audience insights.<\/p>\n<\/li>\n

                4. \n

                  Full-funnel dashboard<\/strong>\n Connects Paid Social<\/strong> to downstream results: lead quality, sales conversion rates, payback period, and cohort performance (where data allows).<\/p>\n<\/li>\n

                5. \n

                  Experimentation dashboard<\/strong>\n Tracks tests and learnings: A\/B results, lift studies, holdouts, and incrementality readouts when your Paid Marketing<\/strong> maturity supports it.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                  Real-World Examples of Paid Social Dashboard<\/h2>\n\n\n\n

                  Example 1: E-commerce scaling with weekly creative rotations<\/h3>\n\n\n\n

                  A retailer uses a Paid Social Dashboard<\/strong> to monitor ROAS, CPA, and purchase conversion rate by creative theme (discount vs product benefits). The dashboard highlights rising frequency and declining CTR on top spend ads, triggering a creative refresh. Within two weeks, improved CTR and conversion rate stabilize CPA, allowing Paid Marketing<\/strong> to scale spend without sacrificing margins.<\/p>\n\n\n\n

                  Example 2: B2B lead generation with CRM-based quality scoring<\/h3>\n\n\n\n

                  A SaaS company runs Paid Social<\/strong> lead campaigns and pushes lead data into its CRM. The Paid Social Dashboard<\/strong> reports not only CPL, but also marketing qualified lead rate and opportunity creation rate by campaign. It reveals that the lowest CPL campaign produces low-quality leads, so budget shifts to a higher CPL segment that generates more pipeline\u2014improving overall Paid Marketing<\/strong> ROI.<\/p>\n\n\n\n

                  Example 3: Multi-region agency reporting with pacing control<\/h3>\n\n\n\n

                  An agency manages multiple clients and regions. A standardized Paid Social Dashboard<\/strong> enforces naming conventions and shows pacing against monthly budgets. When one region underspends due to learning-phase instability, the dashboard flags it early, enabling the team to adjust targeting and creative to hit delivery goals while maintaining performance safeguards.<\/p>\n\n\n\n

                  Benefits of Using Paid Social Dashboard<\/h2>\n\n\n\n

                  A well-designed Paid Social Dashboard<\/strong> creates tangible advantages:<\/p>\n\n\n\n

                    \n
                  • Performance improvements:<\/strong> Faster identification of winning audiences and creatives leads to better CPA\/ROAS over time. <\/li>\n
                  • Cost savings:<\/strong> Early detection of waste (over-frequency, broken tracking, poor landing page performance) prevents prolonged overspend. <\/li>\n
                  • Operational efficiency:<\/strong> Teams spend less time exporting spreadsheets and more time optimizing Paid Social<\/strong> campaigns. <\/li>\n
                  • Better stakeholder communication:<\/strong> Clear, consistent reporting reduces confusion and builds trust in Paid Marketing<\/strong> results. <\/li>\n
                  • Improved customer experience:<\/strong> When insights drive better targeting and messaging, users see more relevant ads and fewer repetitive impressions.<\/li>\n<\/ul>\n\n\n\n

                    Challenges of Paid Social Dashboard<\/h2>\n\n\n\n

                    A Paid Social Dashboard<\/strong> can fail\u2014or mislead\u2014if measurement and context are ignored:<\/p>\n\n\n\n

                      \n
                    • Attribution limitations:<\/strong> Platform-reported conversions and analytics conversions may not match due to attribution models, view-through logic, or tracking restrictions. <\/li>\n
                    • Privacy and signal loss:<\/strong> Consent requirements and browser changes can reduce observable events, affecting trend reliability in Paid Marketing<\/strong> reporting. <\/li>\n
                    • Inconsistent naming conventions:<\/strong> If campaign structure is messy, dashboards become hard to segment and interpret. <\/li>\n
                    • Data freshness and latency:<\/strong> Some sources update hourly; others lag by a day or more, which can confuse daily optimization decisions. <\/li>\n
                    • Vanity metrics risk:<\/strong> Overemphasis on clicks or engagement can distract from business outcomes, especially in Paid Social<\/strong> where engagement isn\u2019t always intent.<\/li>\n<\/ul>\n\n\n\n

                      Best Practices for Paid Social Dashboard<\/h2>\n\n\n\n

                      To make a Paid Social Dashboard<\/strong> genuinely useful, apply these practices:<\/p>\n\n\n\n

                        \n
                      1. \n

                        Start with decisions, not charts<\/strong>\n Define what actions the dashboard should support (budget shifts, creative swaps, audience changes). Build views around those decisions.<\/p>\n<\/li>\n

                      2. \n

                        Create a KPI hierarchy<\/strong>\n Pick one primary business KPI (for example, revenue or qualified pipeline) and a small set of supporting metrics (CPA, ROAS, CVR, frequency).<\/p>\n<\/li>\n

                      3. \n

                        Standardize tracking and naming<\/strong>\n Use consistent campaign naming, UTM rules, and event definitions. This is foundational for reliable Paid Marketing<\/strong> analysis.<\/p>\n<\/li>\n

                      4. \n

                        Segment for insight<\/strong>\n Always enable breakdowns by funnel stage, audience type, creative format, and placement. Many Paid Social<\/strong> gains come from segmentation, not averages.<\/p>\n<\/li>\n

                      5. \n

                        Add pacing and targets<\/strong>\n Include budget pacing (month-to-date vs plan) and target ranges (acceptable CPA\/ROAS bands) so the dashboard drives action.<\/p>\n<\/li>\n

                      6. \n

                        Document metric definitions<\/strong>\n A short glossary inside your reporting process prevents arguments about what \u201cconversion\u201d or \u201crevenue\u201d means.<\/p>\n<\/li>\n

                      7. \n

                        Treat it as a product<\/strong>\n Iterate based on user feedback. A dashboard should evolve as Paid Marketing<\/strong> goals, platforms, and measurement constraints change.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                        Tools Used for Paid Social Dashboard<\/h2>\n\n\n\n

                        A Paid Social Dashboard<\/strong> is usually powered by a stack rather than a single tool category:<\/p>\n\n\n\n

                          \n
                        • Ad platforms (data origin):<\/strong> Where spend, delivery, and platform conversions are recorded for Paid Social<\/strong> campaigns. <\/li>\n
                        • Web and product analytics tools:<\/strong> Capture on-site behavior, conversion events, funnels, and sometimes user cohorts. <\/li>\n
                        • Tag management and event routing:<\/strong> Helps maintain consistent event definitions and reduces dependency on engineering for minor tracking changes. <\/li>\n
                        • CRM systems:<\/strong> Essential when Paid Marketing<\/strong> success is measured in leads, opportunities, or revenue rather than immediate purchases. <\/li>\n
                        • Data warehouses and ETL\/ELT pipelines:<\/strong> Useful for combining multiple accounts, brands, or regions and creating standardized datasets. <\/li>\n
                        • Reporting and BI dashboards:<\/strong> The visualization layer that turns datasets into stakeholder-ready reporting and operator views. <\/li>\n
                        • SEO tools (supporting context):<\/strong> Not for the dashboard itself, but often used to align Paid Social<\/strong> messaging with organic demand and landing page intent, especially in integrated growth teams.<\/li>\n<\/ul>\n\n\n\n

                          Metrics Related to Paid Social Dashboard<\/h2>\n\n\n\n

                          A Paid Social Dashboard<\/strong> typically includes a balanced set of metrics across performance, efficiency, and quality:<\/p>\n\n\n\n

                          Delivery and cost<\/h3>\n\n\n\n
                            \n
                          • Spend<\/li>\n
                          • Impressions and reach<\/li>\n
                          • CPM (cost per thousand impressions)<\/li>\n
                          • Frequency<\/li>\n<\/ul>\n\n\n\n

                            Engagement and traffic quality<\/h3>\n\n\n\n
                              \n
                            • Clicks and link clicks<\/li>\n
                            • CTR (click-through rate)<\/li>\n
                            • CPC (cost per click)<\/li>\n
                            • Landing page view rate (where tracked)<\/li>\n
                            • On-site engagement signals (bounce rate or engaged sessions, depending on measurement setup)<\/li>\n<\/ul>\n\n\n\n

                              Conversion and revenue<\/h3>\n\n\n\n
                                \n
                              • Conversions (leads, purchases, sign-ups)<\/li>\n
                              • CVR (conversion rate)<\/li>\n
                              • CPA\/CPL (cost per acquisition\/lead)<\/li>\n
                              • Revenue and ROAS (if e-commerce or revenue attribution is available)<\/li>\n<\/ul>\n\n\n\n

                                Full-funnel and business impact (when available)<\/h3>\n\n\n\n
                                  \n
                                • Lead-to-opportunity rate<\/li>\n
                                • Opportunity-to-customer rate<\/li>\n
                                • Customer acquisition cost (blended or channel-attributed)<\/li>\n
                                • Payback period or contribution margin (advanced Paid Marketing<\/strong> teams)<\/li>\n<\/ul>\n\n\n\n

                                  Creative diagnostics<\/h3>\n\n\n\n
                                    \n
                                  • Creative-level CPA\/ROAS<\/li>\n
                                  • Video view rates and completion rates (for video-heavy Paid Social<\/strong> strategies)<\/li>\n
                                  • Fatigue indicators: rising frequency + declining CTR\/CVR<\/li>\n<\/ul>\n\n\n\n

                                    Future Trends of Paid Social Dashboard<\/h2>\n\n\n\n

                                    The Paid Social Dashboard<\/strong> is evolving alongside changes in platforms and measurement:<\/p>\n\n\n\n

                                      \n
                                    • More modeled and probabilistic measurement:<\/strong> As deterministic tracking becomes harder, dashboards will incorporate modeled conversions and confidence ranges. <\/li>\n
                                    • Incrementality and experimentation emphasis:<\/strong> Paid Marketing<\/strong> leaders increasingly demand proof of lift, not just attributed conversions, pushing dashboards toward test reporting. <\/li>\n
                                    • AI-assisted insights:<\/strong> Automated anomaly detection, budget recommendations, and creative performance clustering will reduce manual analysis work. <\/li>\n
                                    • Deeper creative intelligence:<\/strong> Dashboards will increasingly tag creative attributes (hook, offer, format) to identify patterns beyond \u201cad A vs ad B.\u201d <\/li>\n
                                    • Privacy-first analytics design:<\/strong> Consent-aware reporting and aggregated measurement will become standard, especially for Paid Social<\/strong> at scale.<\/li>\n<\/ul>\n\n\n\n

                                      Paid Social Dashboard vs Related Terms<\/h2>\n\n\n\n

                                      Paid Social Dashboard vs marketing dashboard<\/h3>\n\n\n\n

                                      A marketing dashboard is broader and may include SEO, email, events, and sales metrics. A Paid Social Dashboard<\/strong> is specialized for Paid Social<\/strong> performance, with the segmentation and pacing controls practitioners need for daily optimization.<\/p>\n\n\n\n

                                      Paid Social Dashboard vs ad platform reporting<\/h3>\n\n\n\n

                                      Ad platform reporting is useful but limited to that platform\u2019s perspective and attribution rules. A Paid Social Dashboard<\/strong> is designed to unify definitions, compare across platforms, and connect results to business outcomes in your Paid Marketing<\/strong> system.<\/p>\n\n\n\n

                                      Paid Social Dashboard vs attribution dashboard<\/h3>\n\n\n\n

                                      An attribution dashboard focuses on how credit is assigned across channels and touchpoints. A Paid Social Dashboard<\/strong> focuses more on operating the channel\u2014creative, audience, pacing, and efficiency\u2014though mature setups may include attribution views as one component.<\/p>\n\n\n\n

                                      Who Should Learn Paid Social Dashboard<\/h2>\n\n\n\n
                                        \n
                                      • Marketers:<\/strong> To optimize budgets, creatives, and audiences with confidence in Paid Social<\/strong>. <\/li>\n
                                      • Analysts:<\/strong> To design reliable KPI frameworks and ensure Paid Marketing<\/strong> reporting aligns with business reality. <\/li>\n
                                      • Agencies:<\/strong> To standardize client reporting, prove value, and scale operations across accounts. <\/li>\n
                                      • Business owners and founders:<\/strong> To understand what the channel is truly contributing and avoid being misled by vanity metrics. <\/li>\n
                                      • Developers and marketing engineers:<\/strong> To implement tracking, data pipelines, and governance that keep the Paid Social Dashboard<\/strong> accurate and maintainable.<\/li>\n<\/ul>\n\n\n\n

                                        Summary of Paid Social Dashboard<\/h2>\n\n\n\n

                                        A Paid Social Dashboard<\/strong> is a centralized reporting system that helps teams measure, understand, and improve Paid Social<\/strong> performance. It matters because Paid Marketing<\/strong> success depends on fast learning cycles, clean measurement, and disciplined budget allocation. When built with consistent definitions, actionable segmentation, and clear accountability, a Paid Social Dashboard<\/strong> becomes the operational backbone that supports smarter decisions, better efficiency, and scalable growth.<\/p>\n\n\n\n

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

                                        1) What should a Paid Social Dashboard include at minimum?<\/h3>\n\n\n\n

                                        At minimum: spend, impressions, clicks, conversions, CPA (or CPL), and a primary business outcome metric (revenue, ROAS, or qualified pipeline). Add pacing vs budget so the dashboard supports decisions, not just reporting.<\/p>\n\n\n\n

                                        2) How often should I check Paid Social Dashboard reports?<\/h3>\n\n\n\n

                                        Operators often check daily for pacing and anomalies, then do deeper analysis weekly. Executives typically review monthly or quarterly summaries tied to Paid Marketing<\/strong> goals.<\/p>\n\n\n\n

                                        3) What\u2019s the most common mistake in Paid Social dashboards?<\/h3>\n\n\n\n

                                        Mixing inconsistent definitions (different conversion events, attribution windows, or time zones) and then comparing results as if they were equivalent. A reliable Paid Social Dashboard<\/strong> starts with standardized measurement rules.<\/p>\n\n\n\n

                                        4) Which metrics matter most for Paid Social optimization?<\/h3>\n\n\n\n

                                        For most Paid Social<\/strong> programs: CPA\/CPL, conversion rate, CTR, frequency, and creative-level performance. The \u201cmost important\u201d metric depends on whether your objective is revenue, leads, or app actions.<\/p>\n\n\n\n

                                        5) Can a Paid Social Dashboard show true ROI?<\/h3>\n\n\n\n

                                        It can estimate ROI using tracked conversions and revenue, but \u201ctrue\u201d ROI is complicated by attribution, privacy constraints, and offline conversions. Advanced Paid Marketing<\/strong> teams pair dashboards with experiments or incrementality testing for stronger proof.<\/p>\n\n\n\n

                                        6) Do small businesses need a Paid Social Dashboard?<\/h3>\n\n\n\n

                                        Yes, but it should be simpler. A lightweight Paid Social Dashboard<\/strong> with a few KPIs and pacing can prevent overspending and keep focus on what drives results.<\/p>\n\n\n\n

                                        7) How do I connect Paid Social performance to sales outcomes?<\/h3>\n\n\n\n

                                        Use consistent campaign tagging, pass lead identifiers into your CRM, and report on downstream stages (qualified lead, opportunity, customer). This turns Paid Marketing<\/strong> reporting from surface-level efficiency into business impact tracking.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                        A **Paid Social Dashboard** is a centralized reporting view that turns messy campaign data into clear, decision-ready insights for **Paid Marketing** teams. In the world of **Paid Social**, where budgets, creative, audiences, and algorithms change daily, a dashboard helps you see what\u2019s working, what\u2019s wasting spend, and what needs testing\u2014without living inside ad platforms all day.<\/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":[1910],"tags":[],"class_list":["post-10565","post","type-post","status-publish","format-standard","hentry","category-paid-social"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/10565","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=10565"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/10565\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=10565"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=10565"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=10565"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}