{"id":11197,"date":"2026-04-01T12:59:44","date_gmt":"2026-04-01T12:59:44","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/paid-search-dashboard\/"},"modified":"2026-04-01T12:59:44","modified_gmt":"2026-04-01T12:59:44","slug":"paid-search-dashboard","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/paid-search-dashboard\/","title":{"rendered":"Paid Search Dashboard: What It Is, Key Features, Benefits, Use Cases, and How It Fits in SEM \/ Paid Search"},"content":{"rendered":"\n

A Paid Search Dashboard<\/strong> is a consolidated view of performance, cost, and conversion data for search advertising. In Paid Marketing<\/strong>, it functions as the operational \u201ccontrol panel\u201d that helps teams understand what\u2019s happening in near real time, diagnose why results changed, and decide what to do next. In SEM \/ Paid Search<\/strong>, where budgets, bids, and auction dynamics change constantly, a strong dashboard is often the difference between reactive firefighting and proactive optimization.<\/p>\n\n\n\n

Modern Paid Marketing<\/strong> teams manage more campaigns, more match types, more audiences, and more measurement constraints than ever. A Paid Search Dashboard<\/strong> matters because it turns scattered platform data into decision-ready insights\u2014so budget allocation, bidding strategy, creative testing, and landing page improvements are driven by evidence rather than hunches.<\/p>\n\n\n\n

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

A Paid Search Dashboard<\/strong> is a reporting and analysis interface\u2014often built in a BI tool, analytics suite, or spreadsheet system\u2014that aggregates SEM performance data into a structured set of charts, tables, and filters. It is designed to answer questions like:<\/p>\n\n\n\n

    \n
  • Are we pacing to budget?<\/li>\n
  • Which campaigns are driving incremental revenue or leads?<\/li>\n
  • Where are inefficiencies increasing (CPC, CPA, wasted spend)?<\/li>\n
  • What changed since last week, and what should we adjust today?<\/li>\n<\/ul>\n\n\n\n

    The core concept is simple: centralize the metrics that matter for SEM \/ Paid Search<\/strong>, standardize definitions (so \u201cconversions\u201d means the same thing everywhere), and make performance easy to monitor across time, devices, geographies, and audience segments.<\/p>\n\n\n\n

    From a business perspective, a Paid Search Dashboard<\/strong> connects ad spend to business outcomes\u2014pipeline, revenue, customer acquisition cost, or qualified leads. Within Paid Marketing<\/strong>, it supports broader planning and forecasting by showing how search ads contribute alongside other channels and by clarifying the unit economics of paid acquisition.<\/p>\n\n\n\n

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

    A high-performing Paid Search Dashboard<\/strong> creates strategic leverage. Search ads are intent-driven, but they\u2019re also auction-driven\u2014results can shift due to competition, seasonality, Quality Score effects, or landing page changes. Without a consistent dashboard, teams may miss early warning signs (e.g., rising CPCs, dropping conversion rate) until meaningful budget is lost.<\/p>\n\n\n\n

    In Paid Marketing<\/strong>, dashboards improve outcomes by enabling faster and more confident decisions:<\/p>\n\n\n\n

      \n
    • Budget stewardship:<\/strong> Track pacing and reallocate spend to the best-performing campaigns before the month ends.<\/li>\n
    • Performance clarity:<\/strong> Separate demand changes (lower search volume) from execution problems (lower CTR or CVR).<\/li>\n
    • Stakeholder alignment:<\/strong> Provide a single source of truth for founders, finance, and sales about what SEM \/ Paid Search<\/strong> is delivering.<\/li>\n
    • Competitive advantage:<\/strong> Respond to market shifts quickly\u2014new competitors, aggressive bidding, or changing SERP layouts\u2014using measurable signals rather than guesswork.<\/li>\n<\/ul>\n\n\n\n

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

      A Paid Search Dashboard<\/strong> is both a system and a workflow. In practice, it works like this:<\/p>\n\n\n\n

        \n
      1. \n

        Inputs (data sources and definitions)<\/strong>\n The dashboard pulls data from ad platforms (impressions, clicks, cost, keywords), analytics (sessions, engagement, conversions), and sometimes CRM or backend systems (qualified leads, revenue, cancellations). In Paid Marketing<\/strong>, the most important step is agreeing on definitions\u2014what counts as a conversion, how revenue is attributed, and which time zone and currency are used.<\/p>\n<\/li>\n

      2. \n

        Processing (cleaning, joining, and transforming)<\/strong>\n Data is standardized: campaign naming is parsed, devices are normalized, and metrics are calculated consistently (e.g., CPA, ROAS, conversion rate). For SEM \/ Paid Search<\/strong>, this is where you also decide how to treat invalid traffic, brand vs non-brand, and attribution windows.<\/p>\n<\/li>\n

      3. \n

        Application (analysis and monitoring)<\/strong>\n The dashboard presents curated views for daily ops (pacing, anomalies), weekly optimization (keyword and query trends), and monthly reporting (ROI and incrementality context). A good Paid Search Dashboard<\/strong> makes it easy to filter by campaign type, match type, geography, audience, and landing page.<\/p>\n<\/li>\n

      4. \n

        Outputs (decisions and actions)<\/strong>\n The outcome is not the chart\u2014it\u2019s the action: adjusting bids, shifting budget, adding negatives, testing ad copy, improving landing pages, or revising targeting. In Paid Marketing<\/strong>, the dashboard\u2019s value is measured by the quality and speed of decisions it enables.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

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

        A reliable Paid Search Dashboard<\/strong> typically includes the following building blocks:<\/p>\n\n\n\n

        Data inputs<\/h3>\n\n\n\n
          \n
        • Ad platform performance data (cost, clicks, impressions, keyword\/query signals)<\/li>\n
        • Conversion tracking and analytics data (events, goals, ecommerce, form fills)<\/li>\n
        • Business outcome data (qualified leads, revenue, margin, LTV where available)<\/li>\n<\/ul>\n\n\n\n

          Core views<\/h3>\n\n\n\n
            \n
          • Executive summary (spend, conversions, CPA\/ROAS, trend vs prior period)<\/li>\n
          • Pacing and budget utilization (daily spend, forecast to month-end)<\/li>\n
          • Campaign\/ad group performance (winners\/losers and contribution)<\/li>\n
          • Search term insights (query themes, waste, opportunities)<\/li>\n
          • Landing page and funnel view (CVR by page, device, geography)<\/li>\n<\/ul>\n\n\n\n

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

            In SEM \/ Paid Search<\/strong>, dashboards fail when ownership is unclear. Effective teams assign:\n– A measurement owner (tracking, data quality, definitions)\n– A channel owner (interpretation and optimization decisions)\n– A stakeholder owner (what the business needs to see, and how often)<\/p>\n\n\n\n

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

            \u201cTypes\u201d are usually practical variations rather than formal categories. Common distinctions include:<\/p>\n\n\n\n

              \n
            1. \n

              Operational dashboard (daily\/weekly)<\/strong>\n Built for practitioners to manage bids, budgets, and performance volatility. It emphasizes pacing, anomalies, and leading indicators like CTR and conversion rate.<\/p>\n<\/li>\n

            2. \n

              Executive dashboard (weekly\/monthly)<\/strong>\n Built for business leadership in Paid Marketing<\/strong>. It focuses on outcomes: CAC, ROAS, pipeline, revenue, and trend context.<\/p>\n<\/li>\n

            3. \n

              Diagnostic dashboard (deep dive)<\/strong>\n Built to answer \u201cwhy\u201d performance changed. It might segment by device, location, match type, audience, daypart, or landing page to isolate drivers.<\/p>\n<\/li>\n

            4. \n

              Experimentation dashboard<\/strong>\n Built for ad copy tests, landing page tests, or bidding strategy evaluations. It highlights statistically meaningful changes, test duration, and guardrail metrics.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

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

              Example 1: Ecommerce pacing + profitability<\/h3>\n\n\n\n

              An ecommerce team uses a Paid Search Dashboard<\/strong> to track spend vs target and ROAS by product category. In SEM \/ Paid Search<\/strong>, they notice brand campaigns are stable but non-brand ROAS is declining on mobile. The dashboard reveals a landing page speed issue correlated with a drop in mobile conversion rate. They shift budget temporarily toward higher-margin categories and prioritize a page-speed fix\u2014protecting profitability within Paid Marketing<\/strong>.<\/p>\n\n\n\n

              Example 2: B2B lead gen with CRM-qualified outcomes<\/h3>\n\n\n\n

              A B2B SaaS company connects ad clicks to form fills and then to CRM stages (MQL \u2192 SQL \u2192 Closed Won). Their Paid Search Dashboard<\/strong> shows that a campaign with a \u201cgood CPA\u201d is actually producing low-quality leads. The team optimizes toward qualified conversions, adjusts keyword intent, and refines ad messaging. This elevates SEM \/ Paid Search<\/strong> from \u201clead volume\u201d to \u201cpipeline contribution\u201d in the broader Paid Marketing<\/strong> strategy.<\/p>\n\n\n\n

              Example 3: Agency multi-client standardization<\/h3>\n\n\n\n

              An agency builds a standardized Paid Search Dashboard<\/strong> template used across clients. Naming conventions and metric definitions are enforced so reporting is consistent. The dashboard includes a change log (budget shifts, new ads, landing page updates) to tie actions to outcomes. This reduces reporting time and improves decision-making speed across Paid Marketing<\/strong> accounts.<\/p>\n\n\n\n

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

              A well-designed Paid Search Dashboard<\/strong> delivers practical advantages:<\/p>\n\n\n\n

                \n
              • Faster optimization cycles:<\/strong> Spot issues early (CPC spikes, CVR drops) and act before they compound.<\/li>\n
              • Better budget efficiency:<\/strong> Improve allocation by identifying true marginal returns across campaigns and segments.<\/li>\n
              • Higher accountability:<\/strong> Clear definitions and consistent reporting reduce debates about numbers in Paid Marketing<\/strong> reviews.<\/li>\n
              • Improved learning:<\/strong> Institutionalize what works (queries, ads, landing pages) and replicate wins across SEM \/ Paid Search<\/strong> efforts.<\/li>\n
              • Stakeholder confidence:<\/strong> A transparent view of performance helps leadership invest appropriately and set realistic expectations.<\/li>\n<\/ul>\n\n\n\n

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

                Dashboards can mislead if the underlying measurement is weak. Common challenges include:<\/p>\n\n\n\n

                  \n
                • Attribution limitations:<\/strong> Conversions may be influenced by other channels, and privacy changes can reduce visibility. A Paid Search Dashboard<\/strong> must be honest about what is measured vs inferred.<\/li>\n
                • Tracking gaps:<\/strong> Broken tags, inconsistent event definitions, or duplicate conversions can distort CPA\/ROAS.<\/li>\n
                • Data latency and sampling:<\/strong> Some sources update slowly or provide aggregated data that hides nuance.<\/li>\n
                • Metric misalignment:<\/strong> Optimizing to platform-reported conversions while the business cares about qualified outcomes creates friction in Paid Marketing<\/strong>.<\/li>\n
                • Over-complexity:<\/strong> Too many charts without clear priorities slows decisions, especially for SEM \/ Paid Search<\/strong> teams that need quick signals.<\/li>\n<\/ul>\n\n\n\n

                  Best Practices for Paid Search Dashboard<\/h2>\n\n\n\n
                    \n
                  1. \n

                    Start with decisions, not charts<\/strong>\n Define what actions the dashboard should enable: budget shifts, bid strategy changes, query pruning, landing page fixes, or creative refreshes.<\/p>\n<\/li>\n

                  2. \n

                    Standardize definitions and naming<\/strong>\n Agree on conversion definitions, attribution windows, and campaign naming conventions. This is foundational for reliable Paid Marketing<\/strong> reporting.<\/p>\n<\/li>\n

                  3. \n

                    Separate brand vs non-brand and prospecting vs retention<\/strong>\n These segments behave differently in SEM \/ Paid Search<\/strong>. Mixing them often hides true performance drivers.<\/p>\n<\/li>\n

                  4. \n

                    Build a metric hierarchy<\/strong>\n Use a small set of primary KPIs (e.g., qualified CPA, ROAS, revenue) supported by diagnostic metrics (CTR, CPC, CVR, impression share).<\/p>\n<\/li>\n

                  5. \n

                    Include pacing and forecasts<\/strong>\n A Paid Search Dashboard<\/strong> should show month-to-date performance and where you\u2019ll land if trends continue\u2014so teams can correct course early.<\/p>\n<\/li>\n

                  6. \n

                    Add context for changes<\/strong>\n Maintain a lightweight change log (new landing page, budget increase, new match type strategy). It prevents false conclusions in weekly reviews.<\/p>\n<\/li>\n

                  7. \n

                    Design for different audiences<\/strong>\n Executives need outcomes; practitioners need levers. Consider separate views within the same Paid Search Dashboard<\/strong>.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

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

                    A Paid Search Dashboard<\/strong> is typically assembled from categories of tools rather than a single system:<\/p>\n\n\n\n

                      \n
                    • Ad platforms:<\/strong> Source performance and auction metrics used in SEM \/ Paid Search<\/strong> (cost, clicks, impression share, keyword\/query data).<\/li>\n
                    • Analytics tools:<\/strong> Provide on-site behavior and conversion measurement to connect ads with outcomes in Paid Marketing<\/strong>.<\/li>\n
                    • BI and reporting dashboards:<\/strong> Combine multiple sources, create calculated fields, and enable filtering by segment and time period.<\/li>\n
                    • Tag management and event tracking:<\/strong> Ensure conversions and revenue events are captured consistently and can be audited.<\/li>\n
                    • CRM and marketing automation systems:<\/strong> Add lead quality, pipeline stages, and downstream revenue to the dashboard.<\/li>\n
                    • Data storage \/ pipelines (where needed):<\/strong> For teams at scale, a warehouse and scheduled data pulls improve reliability and historical analysis.<\/li>\n<\/ul>\n\n\n\n

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

                      A practical Paid Search Dashboard<\/strong> usually blends outcome metrics with leading indicators:<\/p>\n\n\n\n

                      Performance and outcome metrics<\/h3>\n\n\n\n
                        \n
                      • Conversions (primary and secondary)<\/li>\n
                      • Conversion rate (CVR)<\/li>\n
                      • Cost per acquisition (CPA) \/ cost per lead (CPL)<\/li>\n
                      • Revenue and return on ad spend (ROAS)<\/li>\n
                      • Customer acquisition cost (CAC) where customer-level data exists<\/li>\n<\/ul>\n\n\n\n

                        Efficiency and auction metrics (SEM \/ Paid Search-specific)<\/h3>\n\n\n\n
                          \n
                        • Cost per click (CPC)<\/li>\n
                        • Click-through rate (CTR)<\/li>\n
                        • Impression share (and lost impression share due to budget\/rank)<\/li>\n
                        • Top-of-page rate \/ absolute top impression rate (where available)<\/li>\n<\/ul>\n\n\n\n

                          Quality and funnel metrics<\/h3>\n\n\n\n
                            \n
                          • Bounce\/engagement signals aligned to your analytics setup<\/li>\n
                          • Lead quality rate (e.g., MQL rate, SQL rate)<\/li>\n
                          • Post-click performance by landing page, device, and geography<\/li>\n<\/ul>\n\n\n\n

                            Budget control metrics<\/h3>\n\n\n\n
                              \n
                            • Spend pacing vs plan<\/li>\n
                            • Forecasted month-end spend and conversions<\/li>\n
                            • Marginal performance (what additional budget is likely to produce)<\/li>\n<\/ul>\n\n\n\n

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

                              Several shifts are shaping how a Paid Search Dashboard<\/strong> evolves in Paid Marketing<\/strong>:<\/p>\n\n\n\n

                                \n
                              • More automation, more oversight:<\/strong> As bidding and targeting automation increase, dashboards must emphasize guardrails\u2014profitability, lead quality, and incrementality\u2014rather than only surface-level platform KPIs.<\/li>\n
                              • AI-assisted analysis:<\/strong> Expect stronger anomaly detection, narrative explanations (\u201cwhat changed and why\u201d), and automated segmentation suggestions for SEM \/ Paid Search<\/strong> teams.<\/li>\n
                              • Privacy-driven measurement changes:<\/strong> Modeled conversions and aggregated reporting will require dashboards to clearly label modeled vs observed data and to track confidence ranges where possible.<\/li>\n
                              • Deeper business-data integration:<\/strong> More teams will connect search spend to margin, retention, and lifetime value\u2014making the Paid Search Dashboard<\/strong> a true business performance tool, not just an ad report.<\/li>\n
                              • Experimentation discipline:<\/strong> With more automation, the competitive edge shifts to testing strategy\u2014creative, landing pages, and offer design\u2014supported by test-focused dashboard views.<\/li>\n<\/ul>\n\n\n\n

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

                                Paid Search Dashboard vs Paid Search Report<\/h3>\n\n\n\n

                                A report is usually static and periodic (weekly\/monthly). A Paid Search Dashboard<\/strong> is interactive, continuously updated, and designed for ongoing monitoring and decision-making within SEM \/ Paid Search<\/strong>.<\/p>\n\n\n\n

                                Paid Search Dashboard vs Marketing Dashboard<\/h3>\n\n\n\n

                                A marketing dashboard typically covers multiple channels (paid social, email, SEO, affiliates). A Paid Search Dashboard<\/strong> goes deeper into search-specific levers\u2014queries, match types, auction metrics\u2014while still aligning to Paid Marketing<\/strong> outcomes.<\/p>\n\n\n\n

                                Paid Search Dashboard vs Attribution Dashboard<\/h3>\n\n\n\n

                                An attribution dashboard focuses on how credit is assigned across touchpoints. A Paid Search Dashboard<\/strong> focuses on operating and optimizing search campaigns, though it may incorporate attribution views to interpret performance responsibly.<\/p>\n\n\n\n

                                Who Should Learn Paid Search Dashboard<\/h2>\n\n\n\n
                                  \n
                                • Marketers:<\/strong> To translate campaign activity into outcomes and communicate performance clearly within Paid Marketing<\/strong>.<\/li>\n
                                • Analysts:<\/strong> To build trustworthy definitions, data models, and diagnostic views that improve decision quality for SEM \/ Paid Search<\/strong>.<\/li>\n
                                • Agencies:<\/strong> To standardize reporting across clients, reduce manual work, and prove business value beyond vanity metrics.<\/li>\n
                                • Business owners and founders:<\/strong> To understand where growth is coming from, what it costs, and what needs to change when performance shifts.<\/li>\n
                                • Developers and data engineers:<\/strong> To implement robust tracking, data pipelines, and governance that make the Paid Search Dashboard<\/strong> accurate and scalable.<\/li>\n<\/ul>\n\n\n\n

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

                                  A Paid Search Dashboard<\/strong> is an interactive, decision-oriented view of search advertising performance that brings together cost, conversion, and business outcome data. It matters because Paid Marketing<\/strong> requires fast feedback loops, clear measurement, and confident budget decisions. Within SEM \/ Paid Search<\/strong>, the dashboard turns volatile auction signals into actionable insights\u2014helping teams monitor pacing, diagnose performance changes, and optimize toward real business goals.<\/p>\n\n\n\n

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

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

                                  At minimum: spend, clicks, conversions, CPA (or ROAS), conversion rate, and a pacing view against budget. For SEM \/ Paid Search<\/strong>, add at least one auction metric (like impression share) and a segmentation filter (brand vs non-brand or device).<\/p>\n\n\n\n

                                  2) How often should SEM \/ Paid Search dashboards be reviewed?<\/h3>\n\n\n\n

                                  Operational views should be checked daily or a few times per week, depending on spend and volatility. Executive summaries are typically weekly, with a deeper monthly review aligned to Paid Marketing<\/strong> planning and budgeting.<\/p>\n\n\n\n

                                  3) What\u2019s the difference between platform conversions and business conversions?<\/h3>\n\n\n\n

                                  Platform conversions reflect what the ad platform can measure and attribute under its rules. Business conversions reflect what the company values (qualified leads, revenue, margin). A strong Paid Search Dashboard<\/strong> reconciles these by showing both\u2014and prioritizing the business outcome when making decisions.<\/p>\n\n\n\n

                                  4) How do I handle attribution in a Paid Search Dashboard?<\/h3>\n\n\n\n

                                  Be explicit about the attribution method used (e.g., last click vs data-driven) and keep it consistent within each view. Where possible, pair attributed results with complementary indicators (lead quality, cohort performance) so Paid Marketing<\/strong> decisions aren\u2019t based on a single attribution lens.<\/p>\n\n\n\n

                                  5) Why do numbers differ between my ad platform and analytics?<\/h3>\n\n\n\n

                                  Differences commonly come from attribution models, cookie restrictions, time zone settings, click vs session measurement, and conversion de-duplication rules. Your Paid Search Dashboard<\/strong> should document these differences and standardize the \u201csource of truth\u201d for each KPI.<\/p>\n\n\n\n

                                  6) Can a Paid Search Dashboard help with creative and landing page testing?<\/h3>\n\n\n\n

                                  Yes\u2014if it includes test annotations, segments results by landing page\/ad variation, and tracks guardrail metrics (CVR, bounce\/engagement, qualified rate). In SEM \/ Paid Search<\/strong>, this helps you tie message and experience changes to measurable outcomes.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                  A **Paid Search Dashboard** is a consolidated view of performance, cost, and conversion data for search advertising. In **Paid Marketing**, it functions as the operational \u201ccontrol panel\u201d that helps teams understand what\u2019s happening in near real time, diagnose why results changed, and decide what to do next. In **SEM \/ Paid Search**, where budgets, bids, and auction dynamics change constantly, a strong dashboard is often the difference between reactive firefighting and proactive optimization.<\/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":[1913],"tags":[],"class_list":["post-11197","post","type-post","status-publish","format-standard","hentry","category-sem-paid-search"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/11197","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=11197"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/11197\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=11197"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=11197"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=11197"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}