{"id":6766,"date":"2026-03-23T11:41:48","date_gmt":"2026-03-23T11:41:48","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/retail-media-kpi\/"},"modified":"2026-03-23T11:41:48","modified_gmt":"2026-03-23T11:41:48","slug":"retail-media-kpi","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/retail-media-kpi\/","title":{"rendered":"Retail Media Kpi: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Commerce & Retail Media"},"content":{"rendered":"\n

Retail Media Kpi refers to the key performance indicators used to plan, evaluate, and optimize advertising that happens inside retail ecosystems\u2014such as sponsored listings in retailer search results, onsite display placements, and offsite retail-audience media. In Commerce & Retail Media<\/strong>, these KPIs act as the shared language between brands, retailers, and agencies for deciding what \u201cgood performance\u201d actually means.<\/p>\n\n\n\n

Retail media has matured from \u201cbuy some sponsored products and check ROAS\u201d into a measurable growth channel spanning acquisition, retention, and even in-store impact. That evolution makes Retail Media Kpi critical to modern Commerce & Retail Media<\/strong> strategy: without the right KPIs, teams can overspend on easy-to-attribute sales, miss incremental growth, or optimize to metrics that don\u2019t match business goals.<\/p>\n\n\n\n

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

Retail Media Kpi is a structured set of metrics that quantify performance across retail media campaigns\u2014covering efficiency (cost and return), effectiveness (sales and customer outcomes), and quality (placement, relevance, and brand impact). Put simply: it\u2019s how you prove retail media is working and how you decide what to change next.<\/p>\n\n\n\n

The core concept is alignment. A Retail Media Kpi framework ties campaign signals (impressions, clicks, cost) to commerce outcomes (orders, revenue, new customers, repeat purchases) and, when available, to incrementality (sales that happened because of ads, not just alongside them). In Commerce & Retail Media<\/strong>, that alignment is essential because retailers control key data and inventory, while brands control objectives, creative, and product strategy.<\/p>\n\n\n\n

Business-wise, Retail Media Kpi sits at the intersection of merchandising, marketing, and analytics. It informs budget allocation, bid strategy, assortment decisions, and even supply planning. Within Commerce & Retail Media<\/strong>, the KPI set you choose can change how teams prioritize initiatives\u2014whether they chase immediate ROAS, grow market share, or build a pipeline of new-to-brand buyers.<\/p>\n\n\n\n

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

In Commerce & Retail Media<\/strong>, the most common failure mode is optimizing for what\u2019s easiest to measure rather than what\u2019s most valuable. Retail Media Kpi prevents that by translating business strategy into measurable targets that can be monitored weekly (or daily) and improved through testing.<\/p>\n\n\n\n

A strong Retail Media Kpi approach delivers business value in several ways:<\/p>\n\n\n\n

    \n
  • Clear accountability:<\/strong> Everyone agrees on success criteria, reducing opinion-driven decisions.<\/li>\n
  • Better budget efficiency:<\/strong> Spend moves to the campaigns, products, and placements that produce the desired outcome.<\/li>\n
  • Faster optimization cycles:<\/strong> Teams can diagnose performance changes (pricing shifts, competition, out-of-stock events) using leading indicators.<\/li>\n
  • Competitive advantage:<\/strong> Brands that manage Commerce & Retail Media<\/strong> with disciplined KPI governance typically outlearn and out-iterate competitors.<\/li>\n<\/ul>\n\n\n\n

    It also improves marketing outcomes beyond \u201csales credited.\u201d Retail media influences product discovery, category consideration, and repeat behavior\u2014so Retail Media Kpi should capture both performance marketing and brand-building signals where possible.<\/p>\n\n\n\n

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

    Retail Media Kpi is more practical than theoretical: it\u2019s an operating system for decision-making in Commerce & Retail Media<\/strong>. A useful way to understand how it works is as a loop:<\/p>\n\n\n\n

      \n
    1. \n

      Inputs (what you control and what you observe)<\/strong>\n Inputs include campaign settings (bids, budgets, targeting), product variables (price, availability, ratings), and retail context (seasonality, competitor pressure). You also ingest platform signals such as impressions, clicks, and attributed sales.<\/p>\n<\/li>\n

    2. \n

      Processing (how performance gets interpreted)<\/strong>\n Teams map metrics to goals: efficiency (e.g., ROAS), growth (e.g., new-to-brand share), and quality (e.g., top-of-search share). They segment results by retailer, placement, product, audience, and time, and compare performance to baselines.<\/p>\n<\/li>\n

    3. \n

      Execution (what you change)<\/strong>\n Optimizations might include shifting budgets to higher-margin SKUs, separating brand vs non-brand retail search terms, adjusting bids by placement, refreshing creative, or fixing operational blockers like out-of-stock rates.<\/p>\n<\/li>\n

    4. \n

      Outputs (what improves and what you learn)<\/strong>\n Outputs include improved profitability, better share of category visibility, more new customers, and documented learnings that refine future planning. Over time, your Retail Media Kpi framework becomes a playbook for scaling Commerce & Retail Media<\/strong>.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

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

      A reliable Retail Media Kpi program is built on more than a spreadsheet. The major components typically include:<\/p>\n\n\n\n

        \n
      • Measurement design:<\/strong> Definitions, attribution windows (where disclosed), KPI hierarchy (primary vs secondary metrics), and decision rules.<\/li>\n
      • Data inputs:<\/strong> Retailer reporting, ad platform logs, product catalog data, pricing and promo calendars, inventory\/availability, and sometimes offline sales signals.<\/li>\n
      • Processes:<\/strong> Weekly business reviews, test-and-learn cadence, anomaly detection (promo spikes, stockouts), and post-campaign analysis.<\/li>\n
      • Governance and responsibilities:<\/strong> Clear owners for reporting, optimization, merchandising coordination, and finance alignment.<\/li>\n
      • Quality control:<\/strong> Metric validation (e.g., duplicated SKUs), consistent naming conventions, and documentation of changes that affect performance.<\/li>\n
      • Contextual benchmarks:<\/strong> Category averages, prior-period baselines, and retailer-specific norms, which matter a lot in Commerce & Retail Media<\/strong>.<\/li>\n<\/ul>\n\n\n\n

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

        Retail Media Kpi doesn\u2019t have one universal taxonomy, but in practice most KPI sets fall into a few helpful distinctions:<\/p>\n\n\n\n

        1) Funnel-stage KPIs (discovery to purchase)<\/h3>\n\n\n\n
          \n
        • Upper funnel:<\/strong> reach, impressions, share of voice, video completion rate (where relevant)<\/li>\n
        • Mid funnel:<\/strong> click-through rate, product detail page views, add-to-cart rate<\/li>\n
        • Lower funnel:<\/strong> conversion rate, orders, revenue, cost per acquisition, ROAS<\/li>\n<\/ul>\n\n\n\n

          2) Performance vs brand impact KPIs<\/h3>\n\n\n\n
            \n
          • Performance-oriented:<\/strong> ROAS, cost of sale, incremental revenue, margin return<\/li>\n
          • Brand-oriented (retail context):<\/strong> new-to-brand rate, category penetration, repeat purchase rate, shopper retention<\/li>\n<\/ul>\n\n\n\n

            3) Onsite vs offsite retail media KPIs<\/h3>\n\n\n\n
              \n
            • Onsite:<\/strong> search placement share, top-of-search share, attributed sales, detail page engagement<\/li>\n
            • Offsite using retail audiences:<\/strong> reach, frequency, assisted conversions, incremental lift (when measured)<\/li>\n<\/ul>\n\n\n\n

              4) Attributed vs incremental KPIs<\/h3>\n\n\n\n
                \n
              • Attributed KPIs<\/strong> reflect platform-reported outcomes tied to ad interactions.<\/li>\n
              • Incremental KPIs<\/strong> estimate true lift versus a control or baseline\u2014often the most strategic (and most challenging) layer in Commerce & Retail Media<\/strong>.<\/li>\n<\/ul>\n\n\n\n

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

                Example 1: New product launch for a CPG brand<\/h3>\n\n\n\n

                A snack brand launches a new flavor and runs onsite sponsored placements plus onsite display. The Retail Media Kpi set includes: impression share on priority keywords, detail page view rate, add-to-cart rate, new-to-brand customer share, and ROAS. Early results show strong CTR but weak conversion; the team discovers ratings are low and content is incomplete. Fixing product content and accelerating reviews increases conversion rate and stabilizes ROAS\u2014showing how Retail Media Kpi connects media performance to retail readiness in Commerce & Retail Media<\/strong>.<\/p>\n\n\n\n

                Example 2: Profit-focused optimization for an electronics brand<\/h3>\n\n\n\n

                An electronics advertiser sees high ROAS but low profit because ads favor discounted, low-margin bundles. They rebuild Retail Media Kpi around contribution margin, cost of sale, and \u201cprofit per click.\u201d They also track out-of-stock rate and price competitiveness. Budget shifts toward higher-margin accessories with strong conversion, improving profitability even if top-line ROAS slightly declines\u2014an example of KPI alignment driving better Commerce & Retail Media<\/strong> outcomes.<\/p>\n\n\n\n

                Example 3: Agency reporting across multiple retailers<\/h3>\n\n\n\n

                An agency manages retail media for a multi-brand portfolio across several retail networks. They standardize Retail Media Kpi definitions (ROAS, CPC, conversion rate, new-to-brand) and create a cross-retailer dashboard with consistent naming. They layer in retailer-specific metrics (like placement share) while keeping common KPIs comparable. This reduces reporting friction and enables smarter budget allocation across the Commerce & Retail Media<\/strong> mix.<\/p>\n\n\n\n

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

                A well-designed Retail Media Kpi framework produces tangible improvements:<\/p>\n\n\n\n

                  \n
                • Higher performance through focus:<\/strong> Teams optimize toward the few metrics that truly reflect the goal (growth, profit, or penetration).<\/li>\n
                • Cost savings:<\/strong> Waste decreases when you identify placements or keywords with poor conversion or low incrementality.<\/li>\n
                • Operational efficiency:<\/strong> Standardized reporting reduces manual work and speeds up decision cycles.<\/li>\n
                • Better shopper experience:<\/strong> When KPIs include relevance and product readiness, campaigns guide shoppers to in-stock, well-described products\u2014improving conversion and satisfaction in Commerce & Retail Media<\/strong>.<\/li>\n<\/ul>\n\n\n\n

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

                  Retail Media Kpi is powerful, but it comes with real constraints:<\/p>\n\n\n\n

                    \n
                  • Walled-garden measurement:<\/strong> Retailers often provide aggregated reporting, limiting user-level analysis and cross-channel attribution.<\/li>\n
                  • Inconsistent definitions:<\/strong> \u201cNew-to-brand,\u201d attribution windows, and even \u201csales\u201d can be defined differently across networks, complicating Commerce & Retail Media<\/strong> comparisons.<\/li>\n
                  • Data latency and granularity gaps:<\/strong> Some reports update slowly or lack placement-level detail, making rapid optimization harder.<\/li>\n
                  • Incrementality is difficult:<\/strong> True lift measurement requires controls, experiments, or modeled approaches\u2014often resource-intensive.<\/li>\n
                  • Operational confounders:<\/strong> Stockouts, shipping speed changes, pricing shifts, and promo overlap can distort KPI signals if not monitored.<\/li>\n<\/ul>\n\n\n\n

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

                    To make Retail Media Kpi actionable (not just descriptive), use these practices:<\/p>\n\n\n\n

                      \n
                    1. \n

                      Start with a KPI hierarchy<\/strong>\n Define one primary KPI per campaign objective (e.g., incremental profit, new-to-brand orders, or ROAS) and 3\u20135 supporting KPIs (CTR, conversion rate, CPC, placement share, etc.).<\/p>\n<\/li>\n

                    2. \n

                      Separate diagnosis metrics from decision metrics<\/strong>\n CTR and CPC explain why<\/em> performance changes; they shouldn\u2019t always be the success criteria.<\/p>\n<\/li>\n

                    3. \n

                      Control for retail fundamentals<\/strong>\n Track availability, price index, ratings\/reviews, and content completeness alongside media KPIs to avoid blaming ads for retail execution issues\u2014especially in Commerce & Retail Media<\/strong>.<\/p>\n<\/li>\n

                    4. \n

                      Standardize naming and taxonomy<\/strong>\n Consistent campaign naming, SKU mapping, and placement labeling makes trend analysis and automation possible.<\/p>\n<\/li>\n

                    5. \n

                      Use test-and-learn deliberately<\/strong>\n Run structured tests (creative, placement, audience, bid strategies) with clear hypotheses and pre-defined Retail Media Kpi success thresholds.<\/p>\n<\/li>\n

                    6. \n

                      Build cross-functional routines<\/strong>\n Bring merchandising, supply chain, and finance into recurring reviews when KPIs reveal stock or margin constraints.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

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

                      Retail Media Kpi is enabled by a stack of measurement and operations tools commonly used in Commerce & Retail Media<\/strong>:<\/p>\n\n\n\n

                        \n
                      • Retail media network consoles and reporting exports:<\/strong> Primary source for impressions, clicks, spend, and attributed sales.<\/li>\n
                      • Analytics tools and event measurement:<\/strong> Used more often for offsite destinations, brand sites, and broader campaign analysis.<\/li>\n
                      • Business intelligence dashboards:<\/strong> Centralize multi-retailer reporting, automate refreshes, and standardize KPI definitions.<\/li>\n
                      • Data warehousing and ETL pipelines:<\/strong> Combine retailer reports with product, pricing, inventory, and promotion data.<\/li>\n
                      • Experimentation and measurement frameworks:<\/strong> Support incrementality tests, geo tests (when feasible), and holdout analysis.<\/li>\n
                      • CRM and customer data platforms (where applicable):<\/strong> Help connect retail media efforts to lifecycle strategies and audience planning.<\/li>\n
                      • Automation tools:<\/strong> Assist with pacing, anomaly alerts, and rule-based adjustments tied to Retail Media Kpi thresholds.<\/li>\n
                      • SEO and retail search tooling (process\/tool category):<\/strong> Useful for understanding retail keyword demand and organic vs paid visibility interplay within Commerce & Retail Media<\/strong>.<\/li>\n<\/ul>\n\n\n\n

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

                        The exact Retail Media Kpi list depends on objectives, but these metrics commonly matter:<\/p>\n\n\n\n

                        Efficiency and cost metrics<\/h3>\n\n\n\n
                          \n
                        • Cost per click (CPC)<\/li>\n
                        • Cost per acquisition (CPA) or cost per order<\/li>\n
                        • Cost of sale \/ ad spend as a percentage of sales<\/li>\n
                        • Return on ad spend (ROAS)<\/li>\n<\/ul>\n\n\n\n

                          Conversion and revenue metrics<\/h3>\n\n\n\n
                            \n
                          • Conversion rate (click-to-order)<\/li>\n
                          • Orders and units sold<\/li>\n
                          • Revenue (attributed and, when possible, incremental)<\/li>\n
                          • Average order value<\/li>\n<\/ul>\n\n\n\n

                            Visibility and auction\/placement metrics<\/h3>\n\n\n\n
                              \n
                            • Impression share (where available)<\/li>\n
                            • Top placement share (e.g., top-of-search)<\/li>\n
                            • Share of voice in priority categories or keywords<\/li>\n<\/ul>\n\n\n\n

                              Customer and brand-related metrics<\/h3>\n\n\n\n
                                \n
                              • New-to-brand customers or orders (definition varies by retailer)<\/li>\n
                              • Repeat purchase rate (when measurable)<\/li>\n
                              • Basket attachment \/ halo effects (where reported)<\/li>\n<\/ul>\n\n\n\n

                                Retail readiness and quality metrics (often overlooked)<\/h3>\n\n\n\n
                                  \n
                                • In-stock rate \/ availability<\/li>\n
                                • Price competitiveness<\/li>\n
                                • Ratings and review volume<\/li>\n
                                • Content completeness on product pages<\/li>\n<\/ul>\n\n\n\n

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

                                  Retail Media Kpi is evolving quickly as Commerce & Retail Media<\/strong> grows into a standardized, enterprise-grade channel:<\/p>\n\n\n\n

                                    \n
                                  • More automation and AI optimization:<\/strong> Expect algorithmic bidding and budget allocation to rely on richer KPI inputs (profit, inventory, predicted conversion), not just ROAS.<\/li>\n
                                  • Incrementality becomes more common:<\/strong> As budgets grow, leadership will demand lift measurement via experiments, modeled incrementality, or clean-room-like privacy-safe analysis.<\/li>\n
                                  • Better cross-channel planning:<\/strong> KPI frameworks will increasingly connect retail media to broader marketing mix measurement and lifecycle outcomes.<\/li>\n
                                  • Privacy and data governance pressure:<\/strong> Retailers and brands will emphasize aggregated, privacy-safe reporting\u2014changing how granular some Retail Media Kpi measurements can be.<\/li>\n
                                  • Standardization of definitions:<\/strong> Industry alignment on metric definitions (especially \u201cnew-to-brand\u201d and attribution) will improve comparability across Commerce & Retail Media<\/strong> networks.<\/li>\n<\/ul>\n\n\n\n

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

                                    Retail Media Kpi vs ROAS<\/h3>\n\n\n\n

                                    ROAS is a single metric (revenue divided by ad spend). Retail Media Kpi is a broader framework that includes ROAS plus diagnostic, quality, and growth metrics. In Commerce & Retail Media<\/strong>, optimizing only for ROAS can bias spend toward branded queries and existing customers.<\/p>\n\n\n\n

                                    Retail Media Kpi vs Attribution<\/h3>\n\n\n\n

                                    Attribution is the method that assigns credit for outcomes to ad interactions. Retail Media Kpi uses attribution outputs (attributed sales, attributed orders) but also includes non-attribution KPIs (availability, placement share) and, ideally, incrementality.<\/p>\n\n\n\n

                                    Retail Media Kpi vs Incrementality<\/h3>\n\n\n\n

                                    Incrementality estimates the lift caused by advertising. It\u2019s often the \u201cgold standard\u201d outcome KPI, but it\u2019s not always available. Retail Media Kpi can include incrementality when measurable, while still operating with practical KPIs for day-to-day optimization in Commerce & Retail Media<\/strong>.<\/p>\n\n\n\n

                                    Who Should Learn Retail Media Kpi<\/h2>\n\n\n\n

                                    Retail Media Kpi is valuable across roles:<\/p>\n\n\n\n

                                      \n
                                    • Marketers:<\/strong> To plan campaigns, choose objectives, and defend budgets with credible measurement.<\/li>\n
                                    • Analysts:<\/strong> To build consistent reporting, isolate drivers of performance, and improve forecasting.<\/li>\n
                                    • Agencies:<\/strong> To standardize cross-retailer reporting and turn insights into repeatable optimization playbooks.<\/li>\n
                                    • Business owners and founders:<\/strong> To understand profitability, customer acquisition economics, and retail channel growth levers.<\/li>\n
                                    • Developers and data engineers:<\/strong> To integrate retailer reports, automate dashboards, and improve data quality for Commerce & Retail Media<\/strong> measurement.<\/li>\n<\/ul>\n\n\n\n

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

                                      Retail Media Kpi is the KPI framework that measures and improves retail media performance\u2014linking ad activity to commerce outcomes like sales, profit, and customer growth. It matters because Commerce & Retail Media<\/strong> includes unique constraints (retailer-controlled data, varied definitions, and operational factors like stock) that require precise, well-governed measurement.<\/p>\n\n\n\n

                                      Used well, Retail Media Kpi turns retail media into a predictable growth engine: it clarifies objectives, speeds optimization, supports cross-functional decisions, and helps teams scale Commerce & Retail Media<\/strong> investments with confidence.<\/p>\n\n\n\n

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

                                      1) What is a Retail Media Kpi in practical terms?<\/h3>\n\n\n\n

                                      A Retail Media Kpi is any metric you use to judge success and guide decisions for retail media campaigns\u2014such as ROAS, conversion rate, new-to-brand share, or placement visibility\u2014combined into a clear KPI hierarchy tied to a business objective.<\/p>\n\n\n\n

                                      2) Which Retail Media Kpi should I prioritize first?<\/h3>\n\n\n\n

                                      Start with one primary KPI aligned to the goal (e.g., profit, incremental revenue, or customer acquisition), then add supporting KPIs for diagnostics (CTR, CPC, conversion rate, in-stock rate). Avoid tracking dozens of metrics without decision rules.<\/p>\n\n\n\n

                                      3) How do Retail Media Kpi definitions differ across retailers?<\/h3>\n\n\n\n

                                      Common KPIs can vary by attribution window, what counts as \u201cnew-to-brand,\u201d and which sales are included (e.g., shipped vs ordered). In Commerce & Retail Media<\/strong>, documenting definitions per retailer is essential for fair comparisons.<\/p>\n\n\n\n

                                      4) Is ROAS enough to manage retail media?<\/h3>\n\n\n\n

                                      Usually not. ROAS is useful, but a complete Retail Media Kpi framework should include conversion drivers, retail readiness (availability, ratings), and\u2014when possible\u2014incrementality or profit-based metrics.<\/p>\n\n\n\n

                                      5) How can I measure incrementality for retail media?<\/h3>\n\n\n\n

                                      Options include holdout tests, matched market tests, or modeled approaches using historical baselines. Even if you can\u2019t run experiments constantly, you can use periodic incrementality studies to calibrate day-to-day Retail Media Kpi targets.<\/p>\n\n\n\n

                                      6) What cadence should teams review Retail Media Kpi?<\/h3>\n\n\n\n

                                      Most teams review pacing and efficiency metrics daily or several times per week, and run deeper business reviews weekly or biweekly. Monthly reviews are useful for strategic learnings, budget shifts, and Commerce & Retail Media<\/strong> planning.<\/p>\n\n\n\n

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

                                      Optimizing to the easiest metric (often ROAS) without checking whether results are incremental, profitable, or constrained by operational issues like stockouts. A good Retail Media Kpi system balances short-term efficiency with long-term growth signals.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                      Retail Media Kpi refers to the key performance indicators used to plan, evaluate, and optimize advertising that happens inside retail ecosystems\u2014such as sponsored listings in retailer search results, onsite display placements, and offsite retail-audience media. In **Commerce & Retail Media**, these KPIs act as the shared language between brands, retailers, and agencies for deciding what \u201cgood performance\u201d actually means.<\/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-6766","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\/6766","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=6766"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/6766\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=6766"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=6766"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=6766"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}