{"id":6779,"date":"2026-03-23T12:13:16","date_gmt":"2026-03-23T12:13:16","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/retail-media-scorecard\/"},"modified":"2026-03-23T12:13:16","modified_gmt":"2026-03-23T12:13:16","slug":"retail-media-scorecard","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/retail-media-scorecard\/","title":{"rendered":"Retail Media Scorecard: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Commerce & Retail Media"},"content":{"rendered":"\n

Retail media has become a core growth channel for brands and retailers, but its complexity can make performance hard to judge consistently. A Retail Media Scorecard<\/strong> is a structured way to evaluate retail media performance using a defined set of metrics, benchmarks, and decision rules\u2014so teams can compare campaigns, retailers, and time periods without relying on opinion or incomplete reporting.<\/p>\n\n\n\n

In Commerce & Retail Media<\/strong>, a scorecard turns fragmented signals (ad platform metrics, sales data, onsite behavior, and operational inputs like availability) into a clear picture of what\u2019s working and what needs to change. It matters because modern Commerce & Retail Media<\/strong> strategy demands repeatable measurement across multiple retail media networks, ad formats, and product categories\u2014often with different definitions and data quality levels.<\/p>\n\n\n\n

What Is Retail Media Scorecard?<\/h2>\n\n\n\n

A Retail Media Scorecard<\/strong> is a standardized measurement framework that grades or ranks retail media performance against agreed goals. It typically combines KPIs (like ROAS or new-to-brand share), context metrics (like share of shelf or conversion rate), and operational factors (like in-stock rate) to produce a consistent view of effectiveness.<\/p>\n\n\n\n

The core concept is simple: instead of treating each campaign report as a one-off, you define a repeatable \u201cscore\u201d that aligns stakeholders on performance and next actions. The business meaning is accountability\u2014budget and optimization decisions become defensible because they\u2019re based on consistent criteria rather than whichever metric looks best in a given report.<\/p>\n\n\n\n

Within Commerce & Retail Media<\/strong>, the Retail Media Scorecard<\/strong> sits between raw reporting and strategic decision-making. It translates retail media network outputs into a common language that brand, agency, retail, and finance teams can trust. Inside Commerce & Retail Media<\/strong>, it also helps connect media performance to commerce outcomes like revenue, profitability, and customer growth.<\/p>\n\n\n\n

Why Retail Media Scorecard Matters in Commerce & Retail Media<\/h2>\n\n\n\n

Retail media is multi-dimensional: you can \u201cwin\u201d on ROAS and still lose on incrementality, profitability, or brand growth. A Retail Media Scorecard<\/strong> matters because it forces a balanced view of performance that matches your strategy\u2014whether that strategy is penetration, loyalty, premiumization, or category defense.<\/p>\n\n\n\n

In Commerce & Retail Media<\/strong>, the scorecard provides business value in four common ways:<\/p>\n\n\n\n

    \n
  • Strategic clarity:<\/strong> Everyone aligns on what \u201cgood\u201d means (efficiency, growth, share, or a blend).<\/li>\n
  • Better budget allocation:<\/strong> Spend shifts toward retailers, audiences, and ad products that drive the highest total impact.<\/li>\n
  • Faster optimization:<\/strong> Teams spot underperformance earlier because they\u2019re watching a consistent set of signals.<\/li>\n
  • Competitive advantage:<\/strong> A consistent scoring approach makes it easier to scale winning playbooks and avoid repeating mistakes.<\/li>\n<\/ul>\n\n\n\n

    Because Commerce & Retail Media<\/strong> often involves multiple stakeholders (brand marketing, trade, eCommerce, sales, agencies, and the retailer), the scorecard also acts as governance: it reduces metric debates and keeps teams focused on outcomes.<\/p>\n\n\n\n

    How Retail Media Scorecard Works<\/h2>\n\n\n\n

    A Retail Media Scorecard<\/strong> is as much an operating system as it is a report. In practice, it works through a repeatable cycle:<\/p>\n\n\n\n

      \n
    1. \n

      Inputs (data and context)<\/strong>\n You pull campaign performance metrics from retail media networks, onsite and offsite placements, and any available commerce signals (sales, conversion, basket). You also capture context like pricing changes, promotions, seasonality, and in-stock rate.<\/p>\n<\/li>\n

    2. \n

      Processing (standardization and normalization)<\/strong>\n Metrics are mapped to common definitions (for example, what counts as \u201csales,\u201d the attribution window, and whether revenue is ad-attributed or total). Where networks differ, you normalize metrics to enable apples-to-apples comparisons\u2014often with guardrails like \u201ccompare within retailer first, then across retailers.\u201d<\/p>\n<\/li>\n

    3. \n

      Application (scoring and interpretation)<\/strong>\n The framework assigns weights or thresholds to KPIs based on your objectives. A growth-focused program may weight new-to-brand and share metrics higher, while a profitability-focused program may weight contribution margin and efficiency more.<\/p>\n<\/li>\n

    4. \n

      Outputs (actions and decisions)<\/strong>\n The scorecard produces a grade, rank, or traffic-light status by retailer, campaign, brand, category, or tactic. The real output is what happens next: budget shifts, bidding changes, creative refreshes, targeting updates, or retail readiness fixes.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

      In Commerce & Retail Media<\/strong>, the best scorecards are not \u201cset and forget.\u201d They evolve as measurement improves and the business strategy changes.<\/p>\n\n\n\n

      Key Components of Retail Media Scorecard<\/h2>\n\n\n\n

      A strong Retail Media Scorecard<\/strong> includes more than a KPI list. Key components typically include:<\/p>\n\n\n\n

        \n
      • Goal definition and scope:<\/strong> What you\u2019re scoring (retailer, campaign, ad product, category) and why.<\/li>\n
      • KPI taxonomy:<\/strong> A structured hierarchy (primary KPIs, diagnostic KPIs, guardrail KPIs).<\/li>\n
      • Benchmarks and targets:<\/strong> Internal baselines, category norms, or historical performance to contextualize results.<\/li>\n
      • Weighting model:<\/strong> How each KPI influences the total score (fixed weights, tiered scoring, or objective-based weights).<\/li>\n
      • Data inputs:<\/strong> Retail media reporting, onsite analytics, product feed data, inventory signals, and sometimes CRM outcomes.<\/li>\n
      • Governance:<\/strong> Owners for each metric, a review cadence, and rules for exceptions (e.g., launches, major promos).<\/li>\n
      • Action mapping:<\/strong> Clear \u201cif score is X, do Y\u201d guidance so the scorecard drives decisions.<\/li>\n<\/ul>\n\n\n\n

        In Commerce & Retail Media<\/strong>, governance is often the difference between a scorecard that improves performance and one that becomes a passive dashboard.<\/p>\n\n\n\n

        Types of Retail Media Scorecard<\/h2>\n\n\n\n

        There aren\u2019t universal \u201cofficial\u201d types, but there are practical approaches used in Commerce & Retail Media<\/strong>:<\/p>\n\n\n\n

        1) Executive vs practitioner scorecards<\/h3>\n\n\n\n
          \n
        • Executive scorecards<\/strong> summarize outcomes, trends, and budget implications.<\/li>\n
        • Practitioner scorecards<\/strong> include diagnostic detail (keywords, placements, audience segments, creative variants).<\/li>\n<\/ul>\n\n\n\n

          2) Retailer-specific vs cross-retailer scorecards<\/h3>\n\n\n\n
            \n
          • Retailer-specific<\/strong> scorecards respect that each network has unique placements, data, and shopper behavior.<\/li>\n
          • Cross-retailer<\/strong> scorecards provide a standardized view for portfolio optimization and planning.<\/li>\n<\/ul>\n\n\n\n

            3) Objective-based scorecards<\/h3>\n\n\n\n

            A Retail Media Scorecard<\/strong> can be designed around a dominant objective:\n– Efficiency-focused (ROAS, CPA, ACoS)\n– Growth-focused (new-to-brand, customer acquisition, penetration)\n– Share-focused (share of shelf, share of search, impression share)\n– Profitability-focused (contribution margin, net revenue, promo impact)<\/p>\n\n\n\n

            4) Maturity-based scorecards<\/h3>\n\n\n\n

            Early-stage programs use fewer metrics and simpler rules. Advanced programs add incrementality, customer quality, and retail readiness signals.<\/p>\n\n\n\n

            Real-World Examples of Retail Media Scorecard<\/h2>\n\n\n\n

            Example 1: Brand reallocates budget across retailers<\/h3>\n\n\n\n

            A CPG brand runs sponsored listings and onsite display across three retail media networks. Each network reports slightly different attribution windows and \u201csales\u201d definitions. The team builds a Retail Media Scorecard<\/strong> that standardizes ROAS, conversion rate, and in-stock rate, then adds a growth KPI: new-to-brand share (where available). The scorecard reveals one retailer has strong ROAS but poor in-stock and declining share of search\u2014prompting a shift toward inventory fixes and a more defensive bidding strategy.<\/p>\n\n\n\n

            This is a common Commerce & Retail Media<\/strong> scenario: the scorecard doesn\u2019t just reward the highest ROAS; it highlights risks that could erode future sales.<\/p>\n\n\n\n

            Example 2: Agency improves creative and targeting with diagnostic scoring<\/h3>\n\n\n\n

            An agency manages multiple ad formats for a beauty brand. They use a Retail Media Scorecard<\/strong> at the campaign level with weighted metrics: CTR and detail page view rate (diagnostics), conversion rate (mid-funnel), and ROAS (outcome). A poor score triggers a playbook: refresh imagery, test a new value proposition, and split branded vs non-branded keyword strategy. Over several cycles, the scorecard establishes a repeatable optimization rhythm inside Commerce & Retail Media<\/strong>.<\/p>\n\n\n\n

            Example 3: Retailer and brand align on joint business planning<\/h3>\n\n\n\n

            A retailer\u2019s media team and a strategic brand create a quarterly Retail Media Scorecard<\/strong> that combines media KPIs with retail outcomes (category growth, basket attachment, and repeat purchase where available). The scorecard becomes part of joint business reviews, helping both sides justify placements, promotional timing, and onsite real estate decisions. In Commerce & Retail Media<\/strong>, this alignment is often what unlocks larger, more stable budgets.<\/p>\n\n\n\n

            Benefits of Using Retail Media Scorecard<\/h2>\n\n\n\n

            A well-designed Retail Media Scorecard<\/strong> can deliver measurable improvements:<\/p>\n\n\n\n

              \n
            • Performance improvements:<\/strong> Better targeting and bidding decisions through consistent diagnosis of what drives results.<\/li>\n
            • Cost savings:<\/strong> Reduced wasted spend on low-quality placements, weak keywords, or retailers that don\u2019t match goals.<\/li>\n
            • Efficiency gains:<\/strong> Faster reporting and fewer ad-hoc metric debates; teams spend more time optimizing and less time reconciling spreadsheets.<\/li>\n
            • Better customer experience:<\/strong> When the scorecard includes relevance, landing-page readiness, and frequency controls, shoppers see more useful ads and fewer poor experiences.<\/li>\n
            • Stronger cross-functional alignment:<\/strong> Sales, marketing, and finance can agree on the scorecard and use it to support planning.<\/li>\n<\/ul>\n\n\n\n

              In Commerce & Retail Media<\/strong>, the biggest benefit is decision quality\u2014scorecards create a consistent way to prioritize actions when data is imperfect.<\/p>\n\n\n\n

              Challenges of Retail Media Scorecard<\/h2>\n\n\n\n

              A Retail Media Scorecard<\/strong> can fail if it ignores real constraints:<\/p>\n\n\n\n

                \n
              • Inconsistent measurement:<\/strong> Different attribution methods, lookback windows, and conversion definitions across networks complicate comparisons.<\/li>\n
              • Limited transparency:<\/strong> Some retail media networks restrict log-level data, making incrementality and customer quality harder to verify.<\/li>\n
              • Over-weighting a single KPI:<\/strong> Chasing ROAS alone can reduce long-term growth, especially if it over-invests in branded demand.<\/li>\n
              • Data latency and gaps:<\/strong> Sales and inventory data may lag, and some metrics may not be available for all retailers or ad types.<\/li>\n
              • Organizational friction:<\/strong> Teams may disagree on targets, weights, or what counts as \u201csuccess,\u201d especially when budgets are shared.<\/li>\n<\/ul>\n\n\n\n

                In Commerce & Retail Media<\/strong>, it\u2019s important to acknowledge these limitations and design the scorecard to be decision-useful, not \u201cperfect.\u201d<\/p>\n\n\n\n

                Best Practices for Retail Media Scorecard<\/h2>\n\n\n\n

                To make a Retail Media Scorecard<\/strong> actionable and trusted:<\/p>\n\n\n\n

                  \n
                1. \n

                  Start with decisions, not metrics<\/strong>\n Define what you will do differently based on the score (pause, scale, reallocate, or fix readiness).<\/p>\n<\/li>\n

                2. \n

                  Use a KPI hierarchy<\/strong>\n Pick 1\u20132 primary KPIs, then add diagnostics that explain why performance is moving.<\/p>\n<\/li>\n

                3. \n

                  Include retail readiness guardrails<\/strong>\n Incorporate in-stock rate, price competitiveness, content quality, and delivery promises where possible.<\/p>\n<\/li>\n

                4. \n

                  Separate efficiency from growth<\/strong>\n Maintain distinct views or weights for customer acquisition vs harvesting existing demand.<\/p>\n<\/li>\n

                5. \n

                  Standardize definitions and document them<\/strong>\n Keep a simple measurement dictionary so stakeholders don\u2019t reinterpret metrics each quarter.<\/p>\n<\/li>\n

                6. \n

                  Review on a consistent cadence<\/strong>\n Weekly for practitioners, monthly for leadership, quarterly for strategy resets\u2014depending on spend and volatility.<\/p>\n<\/li>\n

                7. \n

                  Iterate as maturity increases<\/strong>\n Add incrementality tests, profitability modeling, or customer LTV proxies as data access improves in Commerce & Retail Media<\/strong>.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                  Tools Used for Retail Media Scorecard<\/h2>\n\n\n\n

                  A Retail Media Scorecard<\/strong> is usually built from a combination of systems rather than a single tool:<\/p>\n\n\n\n

                    \n
                  • Retail media network reporting<\/strong>: Campaign performance exports, placement-level reporting, audience segments, and search term insights (where provided).<\/li>\n
                  • Analytics tools<\/strong>: Onsite behavior tracking, product detail page engagement, and funnel diagnostics for commerce experiences.<\/li>\n
                  • Reporting dashboards and BI<\/strong>: Centralized scorecard views, cross-retailer comparisons, scheduled reporting, and drill-down analysis.<\/li>\n
                  • Data pipelines and warehouses<\/strong>: Cleaning, joining, and standardizing data across retailers, regions, and time periods.<\/li>\n
                  • Automation tools<\/strong>: Scheduled data pulls, anomaly detection, and alerts when KPIs breach thresholds.<\/li>\n
                  • CRM and customer data systems<\/strong>: Where available, to connect retail media exposure to downstream customer outcomes.<\/li>\n
                  • SEO tools (commerce-focused)<\/strong>: Helpful for share-of-search monitoring and content readiness inputs that influence retail performance.<\/li>\n<\/ul>\n\n\n\n

                    In Commerce & Retail Media<\/strong>, the \u201ctool\u201d is often the workflow: reliable ingestion, clear definitions, and a dashboard that maps to decisions.<\/p>\n\n\n\n

                    Metrics Related to Retail Media Scorecard<\/h2>\n\n\n\n

                    A Retail Media Scorecard<\/strong> typically blends outcome metrics, efficiency metrics, and diagnostic metrics:<\/p>\n\n\n\n

                    Performance and outcome metrics<\/h3>\n\n\n\n
                      \n
                    • Attributed sales \/ revenue<\/li>\n
                    • Units sold<\/li>\n
                    • Conversion rate<\/li>\n
                    • New-to-brand sales or share (when available)<\/li>\n
                    • Share of shelf \/ category share indicators (where measurable)<\/li>\n<\/ul>\n\n\n\n

                      ROI and efficiency metrics<\/h3>\n\n\n\n
                        \n
                      • ROAS (return on ad spend)<\/li>\n
                      • CPA (cost per acquisition) or cost per order<\/li>\n
                      • ACoS (ad cost of sales) where used<\/li>\n
                      • CPM\/CPC (cost efficiency inputs)<\/li>\n<\/ul>\n\n\n\n

                        Engagement and funnel diagnostics<\/h3>\n\n\n\n
                          \n
                        • Impressions and reach (where available)<\/li>\n
                        • CTR<\/li>\n
                        • Detail page views \/ product page engagement<\/li>\n
                        • Add-to-cart rate<\/li>\n<\/ul>\n\n\n\n

                          Quality, readiness, and brand guardrails<\/h3>\n\n\n\n
                            \n
                          • In-stock rate and lost buy box (where applicable)<\/li>\n
                          • Price index vs competitors<\/li>\n
                          • Content quality signals (image completeness, attributes, reviews volume\/ratings)<\/li>\n
                          • Frequency (for offsite\/onsite display where supported)<\/li>\n<\/ul>\n\n\n\n

                            In Commerce & Retail Media<\/strong>, the best metric sets reflect how shoppers actually buy: availability and content often determine whether media can convert.<\/p>\n\n\n\n

                            Future Trends of Retail Media Scorecard<\/h2>\n\n\n\n

                            Several trends are shaping the future of Retail Media Scorecard<\/strong> design in Commerce & Retail Media<\/strong>:<\/p>\n\n\n\n

                              \n
                            • AI-assisted insights:<\/strong> More automated anomaly detection, root-cause analysis, and budget recommendations\u2014especially when many campaigns run simultaneously.<\/li>\n
                            • Incrementality and causal measurement:<\/strong> Greater use of tests (geo, holdout, or audience experiments) to validate whether retail media is driving incremental sales.<\/li>\n
                            • Profitability-aware scoring:<\/strong> More emphasis on contribution margin, promo lift quality, and net revenue rather than only top-line ROAS.<\/li>\n
                            • Privacy and data constraints:<\/strong> Continued limits on user-level tracking push scorecards toward aggregated measurement and modeled outcomes.<\/li>\n
                            • Onsite + offsite convergence:<\/strong> As retailers expand offsite media, scorecards will need consistent ways to compare onsite conversion power with upper-funnel influence.<\/li>\n
                            • Standardization pressure:<\/strong> Brands will continue pushing for more comparable definitions across networks, even if perfect standardization remains unlikely.<\/li>\n<\/ul>\n\n\n\n

                              As Commerce & Retail Media<\/strong> matures, scorecards will increasingly reflect business outcomes and customer quality\u2014not just ad platform metrics.<\/p>\n\n\n\n

                              Retail Media Scorecard vs Related Terms<\/h2>\n\n\n\n

                              Retail Media Scorecard vs dashboard<\/h3>\n\n\n\n

                              A dashboard displays metrics. A Retail Media Scorecard<\/strong> adds interpretation\u2014benchmarks, weights, and thresholds that translate metrics into an evaluation and recommended actions.<\/p>\n\n\n\n

                              Retail Media Scorecard vs KPI framework<\/h3>\n\n\n\n

                              A KPI framework lists what you measure and why. A Retail Media Scorecard<\/strong> operationalizes that framework into a repeatable grading system (often with scoring logic and targets).<\/p>\n\n\n\n

                              Retail Media Scorecard vs attribution model<\/h3>\n\n\n\n

                              Attribution defines how credit is assigned to touchpoints (and within what window). A Retail Media Scorecard<\/strong> may use attribution outputs, but it\u2019s broader\u2014combining multiple metrics and business context to guide decisions in Commerce & Retail Media<\/strong>.<\/p>\n\n\n\n

                              Who Should Learn Retail Media Scorecard<\/h2>\n\n\n\n
                                \n
                              • Marketers:<\/strong> To connect retail media performance to brand growth and avoid optimizing to misleading single metrics.<\/li>\n
                              • Analysts:<\/strong> To design consistent measurement, normalize data across retailers, and build decision-ready reporting.<\/li>\n
                              • Agencies:<\/strong> To standardize optimization across clients and prove impact with a transparent methodology.<\/li>\n
                              • Business owners and founders:<\/strong> To understand what retail media is actually delivering and to allocate spend responsibly.<\/li>\n
                              • Developers and data engineers:<\/strong> To build data pipelines, metric definitions, and reliable dashboards that make the scorecard scalable.<\/li>\n<\/ul>\n\n\n\n

                                In Commerce & Retail Media<\/strong>, scorecard literacy is becoming a baseline skill because measurement complexity is now the norm.<\/p>\n\n\n\n

                                Summary of Retail Media Scorecard<\/h2>\n\n\n\n

                                A Retail Media Scorecard<\/strong> is a standardized framework that evaluates retail media performance using consistent KPIs, benchmarks, and scoring rules. It matters because it improves decision-making, aligns stakeholders, and helps teams balance efficiency, growth, and readiness signals. Within Commerce & Retail Media<\/strong>, it bridges the gap between raw network reporting and business outcomes. Used well, it strengthens Commerce & Retail Media<\/strong> planning by making optimization and budget shifts repeatable and evidence-based.<\/p>\n\n\n\n

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

                                1) What is a Retail Media Scorecard used for?<\/h3>\n\n\n\n

                                A Retail Media Scorecard<\/strong> is used to compare performance across campaigns, retailers, and time periods using consistent metrics and scoring rules, so teams can optimize and reallocate budget with confidence.<\/p>\n\n\n\n

                                2) How often should a Retail Media Scorecard be updated?<\/h3>\n\n\n\n

                                Operational versions are commonly reviewed weekly, while leadership summaries are reviewed monthly. The right cadence depends on spend levels, campaign volume, and how quickly performance changes.<\/p>\n\n\n\n

                                3) Which KPIs should be included in a Retail Media Scorecard?<\/h3>\n\n\n\n

                                Most scorecards include efficiency (ROAS\/ACoS), outcomes (sales, conversion rate), and diagnostics (CTR, detail page views), plus guardrails like in-stock rate. The best KPI set depends on whether the goal is growth, profitability, or share.<\/p>\n\n\n\n

                                4) How do you score performance when retailers report metrics differently?<\/h3>\n\n\n\n

                                Standardize definitions where possible, compare within the same retailer first, and use normalization rules for cross-retailer views. Document assumptions so stakeholders know what the score represents.<\/p>\n\n\n\n

                                5) Is a Retail Media Scorecard the same as incrementality measurement?<\/h3>\n\n\n\n

                                No. Incrementality testing estimates what sales would have happened without ads. A Retail Media Scorecard<\/strong> can incorporate incrementality results, but it typically also includes efficiency, readiness, and diagnostic metrics.<\/p>\n\n\n\n

                                6) How does Commerce & Retail Media change the way scorecards are built?<\/h3>\n\n\n\n

                                In Commerce & Retail Media<\/strong>, scorecards must account for retail readiness (availability, content, pricing) and the fact that different retail media networks have different data access, attribution, and placement types.<\/p>\n\n\n\n

                                7) What\u2019s the biggest mistake teams make with a Retail Media Scorecard?<\/h3>\n\n\n\n

                                Over-optimizing for a single metric\u2014usually ROAS\u2014without considering customer acquisition, incrementality, or readiness constraints like out-of-stocks, which can make \u201cgood\u201d scores misleading.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                Retail media has become a core growth channel for brands and retailers, but its complexity can make performance hard to judge consistently. A **Retail Media Scorecard** is a structured way to evaluate retail media performance using a defined set of metrics, benchmarks, and decision rules\u2014so teams can compare campaigns, retailers, and time periods without relying on opinion or incomplete reporting.<\/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":[1886],"tags":[],"class_list":["post-6779","post","type-post","status-publish","format-standard","hentry","category-commerce-retail-media"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/6779","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=6779"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/6779\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=6779"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=6779"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=6779"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}