{"id":10294,"date":"2026-03-29T04:43:06","date_gmt":"2026-03-29T04:43:06","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/display-dashboard\/"},"modified":"2026-03-29T04:43:06","modified_gmt":"2026-03-29T04:43:06","slug":"display-dashboard","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/display-dashboard\/","title":{"rendered":"Display Dashboard: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Display Advertising"},"content":{"rendered":"\n

A Display Dashboard<\/strong> is the reporting and decision-making view marketers use to understand how Paid Marketing<\/strong> campaigns perform across Display Advertising<\/strong> channels. It brings key metrics, trends, and diagnostics into one place so teams can quickly answer practical questions: Which placements are wasting budget? Which audiences are driving incremental conversions? Are frequency and reach healthy for brand impact?<\/p>\n\n\n\n

In modern Paid Marketing<\/strong>, speed and clarity are advantages. Display Advertising<\/strong> can generate huge volumes of impressions, clicks, and conversions across many creatives, audiences, and inventory sources. Without a well-structured Display Dashboard<\/strong>, performance optimization becomes slow, subjective, and error-prone\u2014especially when multiple stakeholders (marketing, finance, creative, analytics) need aligned answers.<\/p>\n\n\n\n

What Is Display Dashboard?<\/h2>\n\n\n\n

A Display Dashboard<\/strong> is a centralized reporting interface (or set of views) designed to track, analyze, and communicate the performance of Display Advertising<\/strong> campaigns within a broader Paid Marketing<\/strong> program. It is typically built from ad platform data plus analytics and conversion tracking, then organized into metrics, filters, comparisons, and alerts that support day-to-day decisions.<\/p>\n\n\n\n

At its core, the concept is simple: turn messy, multi-source campaign data into actionable visibility<\/strong>. The business meaning is equally direct\u2014improve outcomes (conversions, revenue, brand lift proxies) while controlling cost and risk (waste, brand safety issues, measurement errors).<\/p>\n\n\n\n

Where it fits in Paid Marketing<\/strong>:\n– It supports ongoing optimization (bids, budgets, targeting, creative rotation).\n– It enables accountability (spend vs. outcomes, pacing vs. plan).\n– It helps connect Display Advertising<\/strong> to funnel goals (awareness \u2192 consideration \u2192 conversion).<\/p>\n\n\n\n

Inside Display Advertising<\/strong>, the Display Dashboard<\/strong> is often the \u201csingle pane of glass\u201d for evaluating inventory performance, audience quality, creative fatigue, frequency, viewability, and attribution signals.<\/p>\n\n\n\n

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

A strong Display Dashboard<\/strong> turns reporting into strategy. Instead of reacting to isolated metrics, teams can see relationships\u2014like how rising frequency correlates with falling click-through rate, or how a placement that looks cheap on CPC performs poorly on CPA.<\/p>\n\n\n\n

Strategic importance in Paid Marketing<\/strong> includes:\n– Budget stewardship:<\/strong> Quickly detect underspending\/overspending, pacing issues, and wasted impressions.\n– Faster iteration:<\/strong> Shorten the time from insight to action, which matters in auction-based Display Advertising<\/strong>.\n– Cross-team alignment:<\/strong> Give leadership, creatives, and media buyers a shared view of performance and priorities.\n– Competitive advantage:<\/strong> Teams with better monitoring catch issues earlier and scale winners faster.<\/p>\n\n\n\n

Business value shows up as clearer ROI narratives, improved efficiency, and fewer \u201cblack box\u201d conversations where stakeholders mistrust data.<\/p>\n\n\n\n

How Display Dashboard Works<\/h2>\n\n\n\n

A Display Dashboard<\/strong> is less about a single tool and more about an operating system for performance management. In practice, it works through a recurring workflow:<\/p>\n\n\n\n

    \n
  1. \n

    Inputs (data collection)<\/strong>\n – Spend, impressions, clicks, conversions, and creative metrics from Display Advertising<\/strong> platforms\n – Web\/app analytics events and conversion tracking\n – Product revenue or lead quality data from CRM or backend systems\n – Campaign metadata: naming conventions, UTM parameters, audience labels, creative IDs<\/p>\n<\/li>\n

  2. \n

    Processing (normalization and analysis)<\/strong>\n – Standardize definitions (what counts as a conversion, which attribution window is used)\n – Group data by meaningful dimensions (campaign, audience, placement, creative, device, geography)\n – Calculate derived metrics (CPA, ROAS, frequency, view-through rate, cost per incremental lift proxy)<\/p>\n<\/li>\n

  3. \n

    Application (decision-making and optimization)<\/strong>\n – Identify outliers (high spend\/low return, suspicious placements, creative fatigue)\n – Reallocate budget and adjust targeting, bids, or frequency controls\n – Share performance narratives with stakeholders (what changed, why, what\u2019s next)<\/p>\n<\/li>\n

  4. \n

    Outputs (reporting and outcomes)<\/strong>\n – Always-on visibility into performance and pacing\n – Alerts for anomalies and compliance concerns\n – Better optimization cadence for Paid Marketing<\/strong> and Display Advertising<\/strong> initiatives<\/p>\n<\/li>\n<\/ol>\n\n\n\n

    A good Display Dashboard<\/strong> is designed for decisions, not decoration\u2014every chart should answer a question someone actually has.<\/p>\n\n\n\n

    Key Components of Display Dashboard<\/h2>\n\n\n\n

    While implementations vary, most high-performing Display Dashboard<\/strong> setups include the following components:<\/p>\n\n\n\n

    Data inputs<\/h3>\n\n\n\n
      \n
    • Ad delivery data:<\/strong> impressions, clicks, spend, placements, creative IDs<\/li>\n
    • Conversion data:<\/strong> form submits, purchases, sign-ups, calls, in-app events<\/li>\n
    • Audience and context data:<\/strong> segments, topics, geo, device, time of day<\/li>\n
    • Quality signals:<\/strong> viewability, invalid traffic indicators, brand safety classifications (when available)<\/li>\n<\/ul>\n\n\n\n

      Metrics and dimensions<\/h3>\n\n\n\n
        \n
      • Dimensions: campaign, ad group, creative, placement\/domain\/app, audience, device, geo<\/li>\n
      • Metrics: performance (CTR, CVR), efficiency (CPA, ROAS), reach\/frequency, quality (viewability)<\/li>\n<\/ul>\n\n\n\n

        Reporting views (purpose-built)<\/h3>\n\n\n\n
          \n
        • Executive summary (KPI health, pacing, top drivers)<\/li>\n
        • Optimization view (what to cut, what to scale)<\/li>\n
        • Creative view (message fatigue, winners\/losers)<\/li>\n
        • Inventory view (placements and brand safety signals)<\/li>\n
        • Funnel view (assisted conversions and retargeting performance)<\/li>\n<\/ul>\n\n\n\n

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

          A Display Dashboard<\/strong> works best when ownership is clear:\n– Media buyer: daily optimization and pacing\n– Analyst: definitions, QA, attribution context\n– Creative team: creative testing interpretation\n– Marketing lead: goal alignment, KPI prioritization\n– Finance\/ops: budget tracking and forecasting<\/p>\n\n\n\n

          Types of Display Dashboard<\/h2>\n\n\n\n

          \u201cTypes\u201d are usually distinctions in purpose and audience rather than formal categories. Common, practical variants include:<\/p>\n\n\n\n

            \n
          1. \n

            Executive Display Dashboard<\/strong>\n – Focus: top-line KPIs, budget pacing, high-level trends\n – Best for: founders, marketing leaders, finance partners<\/p>\n<\/li>\n

          2. \n

            Optimization Display Dashboard<\/strong>\n – Focus: actionable levers\u2014placements, audiences, creatives, bid strategy outcomes\n – Best for: performance marketers, agencies managing Paid Marketing<\/strong> daily<\/p>\n<\/li>\n

          3. \n

            Creative Performance Dashboard<\/strong>\n – Focus: creative rotation, fatigue, messaging themes, format comparisons\n – Best for: creative strategists, brand teams running Display Advertising<\/strong><\/p>\n<\/li>\n

          4. \n

            Attribution and Measurement Dashboard<\/strong>\n – Focus: conversion paths, assisted conversions, view-through context, incrementality tests (when available)\n – Best for: analysts and growth teams ensuring Paid Marketing<\/strong> measurement is credible<\/p>\n<\/li>\n<\/ol>\n\n\n\n

            Many organizations run a layered approach: one executive view plus deeper drill-down views for specialists.<\/p>\n\n\n\n

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

            Example 1: E-commerce prospecting with creative fatigue control<\/h3>\n\n\n\n

            A retailer runs always-on Display Advertising<\/strong> to reach new users. Their Display Dashboard<\/strong> shows frequency rising week over week while CTR and conversion rate decline on a set of static banners. The team pauses fatigued creatives, introduces new formats, and caps frequency for specific audiences. Result: improved efficiency (lower CPA) without increasing spend, and healthier reach in Paid Marketing<\/strong> prospecting.<\/p>\n\n\n\n

            Example 2: Lead generation with placement quality filtering<\/h3>\n\n\n\n

            A B2B company notices a spike in low-quality leads. In the Display Dashboard<\/strong>, lead volume looks strong, but downstream CRM metrics show low qualification rates by certain placements\/apps. The team excludes those placements and shifts budget to higher-intent contextual categories and stronger audience segments. Result: fewer leads but higher conversion to pipeline\u2014better business outcomes from Display Advertising<\/strong> spend.<\/p>\n\n\n\n

            Example 3: Retargeting with attribution-aware reporting<\/h3>\n\n\n\n

            A subscription app runs retargeting and sees strong last-click ROAS. The Display Dashboard<\/strong> includes an attribution view comparing last-click vs. modeled\/assisted conversion trends. It reveals diminishing incremental impact at high frequency. The team reduces retargeting intensity, invests more in mid-funnel audiences, and uses holdout testing to validate lift. Result: more balanced Paid Marketing<\/strong> allocation and reduced wasted impressions.<\/p>\n\n\n\n

            Benefits of Using Display Dashboard<\/h2>\n\n\n\n

            A well-designed Display Dashboard<\/strong> delivers practical benefits that compound over time:<\/p>\n\n\n\n

              \n
            • Performance improvements:<\/strong> Faster identification of winning audiences, creatives, and placements improves CPA\/ROAS outcomes in Display Advertising<\/strong>.<\/li>\n
            • Cost savings:<\/strong> Early detection of waste (poor inventory, redundant retargeting, over-frequency) reduces inefficient spend in Paid Marketing<\/strong>.<\/li>\n
            • Operational efficiency:<\/strong> Less manual reporting, fewer ad hoc data pulls, and clearer recurring routines.<\/li>\n
            • Better customer experience:<\/strong> Managing frequency and creative relevance reduces ad fatigue and improves brand perception.<\/li>\n
            • Stronger accountability:<\/strong> Decisions are grounded in shared metrics and definitions, reducing internal debate over \u201cwhose numbers are right.\u201d<\/li>\n<\/ul>\n\n\n\n

              Challenges of Display Dashboard<\/h2>\n\n\n\n

              A Display Dashboard<\/strong> can fail if it becomes a collection of charts without trustworthy inputs or decision alignment. Common challenges include:<\/p>\n\n\n\n

                \n
              • Data quality and consistency:<\/strong> Broken conversion tracking, inconsistent campaign naming, and duplicate events can mislead optimization.<\/li>\n
              • Attribution limitations:<\/strong> Display Advertising<\/strong> often influences users without getting the last click; dashboards must communicate attribution context honestly.<\/li>\n
              • Cross-platform fragmentation:<\/strong> Different platforms report metrics differently (viewability, clicks, conversion windows), making apples-to-apples comparison hard.<\/li>\n
              • Latency and sampling:<\/strong> Delayed conversion reporting and partial data can cause premature decisions.<\/li>\n
              • Over-optimization risk:<\/strong> Chasing short-term metrics (like CTR) can harm long-term outcomes (brand lift, incrementality).<\/li>\n
              • Governance gaps:<\/strong> Without clear owners and definitions, teams interpret the same Display Dashboard<\/strong> differently.<\/li>\n<\/ul>\n\n\n\n

                Best Practices for Display Dashboard<\/h2>\n\n\n\n

                To make a Display Dashboard<\/strong> reliably useful in Paid Marketing<\/strong>, prioritize these practices:<\/p>\n\n\n\n

                Define goals and KPI hierarchy<\/h3>\n\n\n\n

                Start with the business objective (revenue, qualified leads, subscriptions, awareness). Then define primary KPIs and supporting diagnostics:\n– Primary: CPA, ROAS, cost per qualified lead, incremental lift proxy\n– Secondary: CTR, CVR, frequency, viewability, reach, CPM<\/p>\n\n\n\n

                Standardize naming and metadata<\/h3>\n\n\n\n

                Consistent campaign and creative naming unlocks clean filtering and aggregation. Ensure UTMs and IDs connect Display Advertising<\/strong> data to analytics and CRM systems.<\/p>\n\n\n\n

                Build for decisions, not vanity<\/h3>\n\n\n\n

                Every visualization should map to an action:\n– \u201cIf CPA spikes, what do we check first?\u201d\n– \u201cIf frequency rises, what is the recommended cap by audience?\u201d\n– \u201cIf viewability drops, which inventory segments are responsible?\u201d<\/p>\n\n\n\n

                Include pacing and forecasts<\/h3>\n\n\n\n

                A Display Dashboard<\/strong> should show:\n– spend vs. budget targets\n– projected end-of-period spend based on current pace\n– expected conversions based on recent performance ranges (avoid false precision)<\/p>\n\n\n\n

                Create anomaly alerts and QA routines<\/h3>\n\n\n\n

                Implement routine checks for tracking breaks, sudden metric shifts, or spend anomalies. A simple daily QA checklist often prevents costly Paid Marketing<\/strong> mistakes.<\/p>\n\n\n\n

                Segment to reveal truth<\/h3>\n\n\n\n

                Aggregate averages hide problems. Use segments like:\n– new vs. returning users\n– placement\/app\/domain\n– audience type (prospecting vs. retargeting)\n– device, geo, daypart\nThis is especially important in Display Advertising<\/strong>, where inventory quality varies widely.<\/p>\n\n\n\n

                Tools Used for Display Dashboard<\/h2>\n\n\n\n

                A Display Dashboard<\/strong> is usually assembled from a stack of systems rather than a single product. Common tool groups include:<\/p>\n\n\n\n

                  \n
                • Ad platforms (data sources):<\/strong> Provide delivery, spend, and platform-side conversion metrics for Display Advertising<\/strong>.<\/li>\n
                • Analytics tools:<\/strong> Capture on-site or in-app behavior, events, and conversion funnels that contextualize Paid Marketing<\/strong> performance.<\/li>\n
                • Tag management and tracking systems:<\/strong> Manage pixels, event schemas, and consent settings to keep measurement reliable.<\/li>\n
                • Data warehouses and ETL\/ELT pipelines:<\/strong> Centralize data, standardize definitions, and enable scalable reporting across campaigns.<\/li>\n
                • Reporting dashboard tools:<\/strong> Build interactive views, filters, scheduled reports, and stakeholder-specific summaries.<\/li>\n
                • CRM and marketing automation systems:<\/strong> Connect ad-driven leads to pipeline stages, revenue, and quality metrics.<\/li>\n
                • Experimentation and measurement frameworks:<\/strong> Support holdouts, geo tests, and incrementality studies that refine what the Display Dashboard<\/strong> reports.<\/li>\n<\/ul>\n\n\n\n

                  The key is integration and governance: tools should reinforce consistent definitions, not multiply conflicting metrics.<\/p>\n\n\n\n

                  Metrics Related to Display Dashboard<\/h2>\n\n\n\n

                  A high-quality Display Dashboard<\/strong> for Display Advertising<\/strong> typically covers four metric categories:<\/p>\n\n\n\n

                  Delivery and cost metrics<\/h3>\n\n\n\n
                    \n
                  • Impressions, reach, frequency<\/li>\n
                  • Spend, CPM<\/li>\n
                  • Clicks, CPC<\/li>\n<\/ul>\n\n\n\n

                    Engagement and efficiency metrics<\/h3>\n\n\n\n
                      \n
                    • CTR (click-through rate)<\/li>\n
                    • Landing page engagement (bounce rate proxies, time on site, key events)<\/li>\n
                    • CVR (conversion rate)<\/li>\n
                    • CPA (cost per acquisition) or CPL (cost per lead)<\/li>\n<\/ul>\n\n\n\n

                      Revenue and ROI metrics<\/h3>\n\n\n\n
                        \n
                      • ROAS (return on ad spend) where revenue is measurable<\/li>\n
                      • Cost per qualified lead \/ cost per opportunity (B2B)<\/li>\n
                      • LTV-based ROAS (when cohorts and retention are available)<\/li>\n<\/ul>\n\n\n\n

                        Quality and brand metrics (when available)<\/h3>\n\n\n\n
                          \n
                        • Viewability rate<\/li>\n
                        • Invalid traffic indicators (or suspicious click patterns)<\/li>\n
                        • Brand safety incident counts or placement risk categories<\/li>\n
                        • Creative fatigue signals (performance decay vs. frequency\/time)<\/li>\n<\/ul>\n\n\n\n

                          Good dashboards show both outcomes and diagnostics\u2014so teams can explain why<\/em> performance changed, not just that<\/em> it changed.<\/p>\n\n\n\n

                          Future Trends of Display Dashboard<\/h2>\n\n\n\n

                          Display Dashboard<\/strong> capabilities are evolving as Paid Marketing<\/strong> faces new constraints and opportunities:<\/p>\n\n\n\n

                            \n
                          • AI-assisted insights:<\/strong> Automated anomaly detection, root-cause suggestions (placement shifts, audience saturation), and narrative summaries will reduce manual analysis time.<\/li>\n
                          • More automation in execution:<\/strong> Dashboards will increasingly connect insights to actions\u2014like recommending budget moves or pausing underperforming inventory with human approval.<\/li>\n
                          • Privacy-driven measurement changes:<\/strong> Less reliance on user-level identifiers and more use of aggregated reporting, modeled conversions, and experimentation to understand Display Advertising<\/strong> impact.<\/li>\n
                          • Incrementality-first reporting:<\/strong> More teams will require lift testing and causal measurement views so the Display Dashboard<\/strong> reflects true contribution, not just attribution.<\/li>\n
                          • Creative intelligence:<\/strong> Stronger creative tagging (themes, offers, formats) will make dashboards more useful for creative strategy, not only media optimization.<\/li>\n
                          • Real-time governance:<\/strong> Expect more built-in checks for consent, data retention, and policy compliance across Paid Marketing<\/strong> reporting workflows.<\/li>\n<\/ul>\n\n\n\n

                            Display Dashboard vs Related Terms<\/h2>\n\n\n\n

                            Display Dashboard vs Marketing Dashboard<\/h3>\n\n\n\n

                            A marketing dashboard is broader: it may include SEO, email, social, and sales metrics. A Display Dashboard<\/strong> is purpose-built for Display Advertising<\/strong> performance and the specific dimensions that matter there (placements, viewability, frequency, creative rotation).<\/p>\n\n\n\n

                            Display Dashboard vs Ad Platform Reporting<\/h3>\n\n\n\n

                            Ad platform reporting is the native interface inside an ad network or DSP. A Display Dashboard<\/strong> often combines multiple sources (analytics, CRM, experiments) and standardizes definitions so Paid Marketing<\/strong> stakeholders can compare performance consistently across platforms.<\/p>\n\n\n\n

                            Display Dashboard vs KPI Scorecard<\/h3>\n\n\n\n

                            A KPI scorecard is usually a compact set of top-line metrics and targets. A Display Dashboard<\/strong> includes drill-downs and diagnostics that enable action\u2014showing not only whether you hit targets, but where and why performance shifted.<\/p>\n\n\n\n

                            Who Should Learn Display Dashboard<\/h2>\n\n\n\n
                              \n
                            • Marketers:<\/strong> To optimize Paid Marketing<\/strong> spend confidently and communicate performance clearly.<\/li>\n
                            • Analysts:<\/strong> To ensure measurement integrity, define KPIs, and prevent misleading interpretation of Display Advertising<\/strong> results.<\/li>\n
                            • Agencies:<\/strong> To standardize client reporting, speed optimization cycles, and defend strategy with credible data.<\/li>\n
                            • Business owners and founders:<\/strong> To understand what\u2019s driving growth, spot waste early, and evaluate whether Paid Marketing<\/strong> is scaling profitably.<\/li>\n
                            • Developers and data engineers:<\/strong> To build reliable pipelines, enforce event schemas, and maintain the foundations that make a Display Dashboard<\/strong> trustworthy.<\/li>\n<\/ul>\n\n\n\n

                              Summary of Display Dashboard<\/h2>\n\n\n\n

                              A Display Dashboard<\/strong> is a centralized performance view that helps teams manage and optimize Display Advertising<\/strong> within a broader Paid Marketing<\/strong> strategy. It matters because display campaigns generate complex, high-volume data where small optimizations can create significant efficiency gains. When built with clear definitions, quality inputs, and decision-oriented views, a Display Dashboard<\/strong> improves performance, reduces waste, and makes reporting credible and actionable.<\/p>\n\n\n\n

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

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

                              At minimum: spend, impressions, clicks, conversions, CPA\/ROAS (or CPL), pacing vs. budget, and the ability to segment by campaign, audience, creative, and placement. Without segmentation, Display Advertising<\/strong> problems stay hidden in averages.<\/p>\n\n\n\n

                              2) How often should I review a Display Dashboard for Paid Marketing?<\/h3>\n\n\n\n

                              For active campaigns, daily checks for pacing and anomalies are common, with deeper optimization reviews 2\u20133 times per week. High-spend Paid Marketing<\/strong> programs often benefit from near-daily optimization, especially during launches.<\/p>\n\n\n\n

                              3) Which metrics matter most for Display Advertising optimization?<\/h3>\n\n\n\n

                              CPA or ROAS (primary outcome) plus diagnostics like CTR, CVR, frequency, and placement performance. Viewability and inventory quality indicators also matter because they affect whether your Display Advertising<\/strong> impressions had a realistic chance to influence users.<\/p>\n\n\n\n

                              4) Why do my ad platform numbers not match my analytics in the dashboard?<\/h3>\n\n\n\n

                              Differences usually come from attribution windows, cross-device behavior, delayed conversions, ad blockers\/consent restrictions, and different definitions of conversions. A good Display Dashboard<\/strong> documents these assumptions so stakeholders interpret gaps correctly.<\/p>\n\n\n\n

                              5) Can a Display Dashboard help reduce wasted spend?<\/h3>\n\n\n\n

                              Yes. By surfacing high-spend\/low-return segments (placements, apps, audiences) and monitoring frequency, a Display Dashboard<\/strong> helps teams cut inefficient inventory and rebalance budgets\u2014often one of the quickest wins in Paid Marketing<\/strong>.<\/p>\n\n\n\n

                              6) What\u2019s the biggest mistake teams make when building a Display Dashboard?<\/h3>\n\n\n\n

                              Optimizing for aesthetics or executive summaries only. If the Display Dashboard<\/strong> can\u2019t answer \u201cwhat action should we take next?\u201d\u2014for example, what to pause, exclude, refresh, or scale\u2014it won\u2019t improve Display Advertising<\/strong> outcomes.<\/p>\n\n\n\n

                              7) Do small businesses need a Display Dashboard?<\/h3>\n\n\n\n

                              Yes, but it can be simple. Even a lightweight Display Dashboard<\/strong> with clean conversion tracking, basic pacing, and a few key breakdowns (audience, placement, creative) can prevent costly mistakes and make Paid Marketing<\/strong> results easier to manage.<\/p>\n","protected":false},"excerpt":{"rendered":"

                              A **Display Dashboard** is the reporting and decision-making view marketers use to understand how **Paid Marketing** campaigns perform across **Display Advertising** channels. It brings key metrics, trends, and diagnostics into one place so teams can quickly answer practical questions: Which placements are wasting budget? Which audiences are driving incremental conversions? Are frequency and reach healthy for brand impact?<\/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":[1907],"tags":[],"class_list":["post-10294","post","type-post","status-publish","format-standard","hentry","category-display-advertising"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/10294","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=10294"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/10294\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=10294"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=10294"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=10294"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}