{"id":6767,"date":"2026-03-23T11:43:59","date_gmt":"2026-03-23T11:43:59","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/retail-media-measurement-plan\/"},"modified":"2026-03-23T11:43:59","modified_gmt":"2026-03-23T11:43:59","slug":"retail-media-measurement-plan","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/retail-media-measurement-plan\/","title":{"rendered":"Retail Media Measurement Plan: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Commerce & Retail Media"},"content":{"rendered":"\n

A Retail Media Measurement Plan<\/strong> is the blueprint that turns retail media activity into credible, decision-ready insights. In Commerce & Retail Media<\/strong>, where ads run inside retailer ecosystems (onsite, offsite, and increasingly in-store), measurement is often fragmented across platforms, teams, and data sources. A plan aligns everyone on what success means, how it will be measured, and how results will drive action.<\/p>\n\n\n\n

This matters because modern Commerce & Retail Media<\/strong> programs are judged on more than clicks and attributed sales. Leaders want to understand incrementality, profitability, new-to-brand growth, and halo effects across channels\u2014without overcounting or relying on inconsistent definitions. A well-built Retail Media Measurement Plan<\/strong> is how you scale spend with confidence.<\/p>\n\n\n\n

1) What Is Retail Media Measurement Plan?<\/h2>\n\n\n\n

A Retail Media Measurement Plan<\/strong> is a documented, operational framework that defines goals, KPIs, data sources, methods, reporting, and governance<\/strong> for evaluating retail media performance. It connects day-to-day campaign metrics (impressions, clicks, conversions) to business outcomes (incremental sales, share growth, margin impact, customer acquisition) in a way that can be repeated and audited.<\/p>\n\n\n\n

The core concept is simple: measurement should be designed before activation<\/strong>, not retrofitted after a campaign. Business-wise, the plan clarifies what you are optimizing for (e.g., profitable growth vs. volume), what trade-offs are acceptable (e.g., ROAS vs. new customer penetration), and how you will prove impact.<\/p>\n\n\n\n

Within Commerce & Retail Media<\/strong>, the plan sits between retail media strategy (what you want to achieve) and operations (how you run campaigns). Inside Commerce & Retail Media<\/strong> teams, it also acts as the common language between marketing, ecommerce, analytics, and finance.<\/p>\n\n\n\n

2) Why Retail Media Measurement Plan Matters in Commerce & Retail Media<\/h2>\n\n\n\n

A strong Retail Media Measurement Plan<\/strong> creates strategic advantage because retail media data is abundant but not automatically trustworthy or comparable. Different retailers and ad products can report performance differently, and last-click attribution can inflate perceived returns.<\/p>\n\n\n\n

Key reasons it matters in Commerce & Retail Media<\/strong>:<\/p>\n\n\n\n

    \n
  • Strategic clarity:<\/strong> Teams stop arguing about \u201cwhich number is right\u201d and start aligning around a consistent KPI hierarchy.<\/li>\n
  • Better budget allocation:<\/strong> You can compare placements, retailers, and tactics using agreed methods and guardrails.<\/li>\n
  • Faster optimization:<\/strong> Clear reporting cadences and thresholds help you act quickly without chasing noise.<\/li>\n
  • Credibility with finance and leadership:<\/strong> When methodology and assumptions are explicit, performance discussions become constructive.<\/li>\n
  • Competitive edge:<\/strong> Brands and retailers that prove incrementality and profitability can scale spend earlier and defend it during downturns.<\/li>\n<\/ul>\n\n\n\n

    In short, a Retail Media Measurement Plan<\/strong> is how Commerce & Retail Media<\/strong> becomes a repeatable growth engine rather than a collection of isolated campaigns.<\/p>\n\n\n\n

    3) How Retail Media Measurement Plan Works<\/h2>\n\n\n\n

    A Retail Media Measurement Plan<\/strong> is partly procedural and partly governance-oriented. In practice, it works as a cycle:<\/p>\n\n\n\n

      \n
    1. \n

      Inputs (what you need to measure)<\/strong>\n – Business objectives (growth, profit, penetration, launch support)\n – Campaign architecture (retailers, formats, audiences, SKUs)\n – Data availability (platform reporting, onsite analytics, sales data, CRM)<\/p>\n<\/li>\n

    2. \n

      Processing (how you turn data into insight)<\/strong>\n – KPI definitions and formulas (e.g., ROAS vs. incremental ROAS)\n – Identity and matching rules (where possible and privacy-safe)\n – Attribution and incrementality approach (platform attribution, tests, modeling)\n – Normalization across retailers (consistent naming, time windows, product mapping)<\/p>\n<\/li>\n

    3. \n

      Execution (how measurement is operationalized)<\/strong>\n – Dashboards and reporting cadence (daily pacing vs. weekly business review)\n – Experimentation plan (holdouts, geo tests, pre\/post with controls)\n – Quality assurance (tracking checks, data validation, anomaly detection)<\/p>\n<\/li>\n

    4. \n

      Outputs (what decisions you can make)<\/strong>\n – Spend shifts by retailer, format, audience, and SKU\n – Optimization actions (bids, targeting, creative, retail readiness fixes)\n – Strategic recommendations (incrementality, halo, profitability, long-term effects)<\/p>\n<\/li>\n<\/ol>\n\n\n\n

      This loop is continuous: the Retail Media Measurement Plan<\/strong> should evolve as new placements, privacy rules, and data partnerships change what\u2019s measurable.<\/p>\n\n\n\n

      4) Key Components of Retail Media Measurement Plan<\/h2>\n\n\n\n

      A practical Retail Media Measurement Plan<\/strong> usually includes:<\/p>\n\n\n\n

      Measurement scope and goals<\/h3>\n\n\n\n

      Define what\u2019s in scope (onsite sponsored ads, offsite display, in-store, influencer\/affiliate adjacency) and which goals matter most (sales, penetration, retention, margin).<\/p>\n\n\n\n

      KPI framework (tiered)<\/h3>\n\n\n\n
        \n
      • Primary KPIs:<\/strong> the \u201cnorth star\u201d (e.g., incremental profit, incremental sales, new-to-brand revenue)<\/li>\n
      • Secondary KPIs:<\/strong> drivers and diagnostics (e.g., conversion rate, cost per acquisition, share of shelf\/search)<\/li>\n
      • Guardrails:<\/strong> what must not break (e.g., out-of-stock rate, margin floor, frequency thresholds)<\/li>\n<\/ul>\n\n\n\n

        Data inputs and systems<\/h3>\n\n\n\n

        List each dataset, owner, refresh rate, and limitations: retailer reporting, ecommerce sales, inventory signals, CRM, product catalogs, and media cost data.<\/p>\n\n\n\n

        Methods and rules<\/h3>\n\n\n\n

        Document attribution windows, deduplication approach, how you treat returns\/cancellations, and how you\u2019ll handle cross-device or cross-channel limitations.<\/p>\n\n\n\n

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

        Assign who approves KPI changes, who maintains taxonomy, who QA\u2019s dashboards, and who signs off on readouts.<\/p>\n\n\n\n

        Reporting and decision cadence<\/h3>\n\n\n\n

        Specify daily pacing, weekly performance reviews, monthly business reviews, and quarterly learning agendas.<\/p>\n\n\n\n

        5) Types of Retail Media Measurement Plan<\/h2>\n\n\n\n

        There aren\u2019t universally \u201cofficial\u201d types, but in Commerce & Retail Media<\/strong> you\u2019ll commonly see useful distinctions:<\/p>\n\n\n\n

        By maturity level<\/h3>\n\n\n\n
          \n
        • Foundational plan:<\/strong> platform-reported KPIs, consistent naming, basic ROI\/ROAS reporting, retail readiness checks.<\/li>\n
        • Intermediate plan:<\/strong> unified dashboards across retailers, better SKU mapping, contribution\/margin views, structured testing.<\/li>\n
        • Advanced plan:<\/strong> incrementality measurement, profit-based optimization, halo analysis, integration with forecasting and planning.<\/li>\n<\/ul>\n\n\n\n

          By measurement approach<\/h3>\n\n\n\n
            \n
          • Attribution-led:<\/strong> relies on retailer\/platform attribution for optimization speed.<\/li>\n
          • Experiment-led:<\/strong> prioritizes holdouts and lift tests for causal impact.<\/li>\n
          • Model-led:<\/strong> uses aggregated modeling to estimate cross-channel and long-term effects.<\/li>\n<\/ul>\n\n\n\n

            By business objective<\/h3>\n\n\n\n
              \n
            • Performance plan:<\/strong> focuses on efficient sales and repeatable returns.<\/li>\n
            • Growth\/penetration plan:<\/strong> emphasizes new-to-brand customers and category expansion.<\/li>\n
            • Brand plan:<\/strong> uses reach, frequency, and consideration proxies where sales aren\u2019t the only goal.<\/li>\n<\/ul>\n\n\n\n

              Many organizations combine these into one Retail Media Measurement Plan<\/strong> with clear rules for when each method is appropriate.<\/p>\n\n\n\n

              6) Real-World Examples of Retail Media Measurement Plan<\/h2>\n\n\n\n

              Example 1: CPG brand scaling onsite sponsored ads<\/h3>\n\n\n\n

              A packaged goods brand runs sponsored product ads across multiple retailers. The Retail Media Measurement Plan<\/strong> standardizes KPIs (ROAS, incremental sales estimates, new-to-brand rate), creates consistent SKU mapping, and sets weekly optimization rules (pause low-margin SKUs, shift spend to high-availability items). In Commerce & Retail Media<\/strong>, this prevents \u201cwinning\u201d on paper while losing on profitability due to stockouts or low-margin promotions.<\/p>\n\n\n\n

              Example 2: Omnichannel retailer proving offsite impact<\/h3>\n\n\n\n

              A retailer uses offsite audiences to drive onsite purchases. The plan sets up a test-and-control design and separates attributed<\/strong> sales from incremental<\/strong> sales. Reporting includes halo lift to related categories and a guardrail for customer experience (frequency caps and complaint monitoring). This is a classic Commerce & Retail Media<\/strong> use case where causality matters more than last-click.<\/p>\n\n\n\n

              Example 3: Agency managing multiple retail networks for one client<\/h3>\n\n\n\n

              An agency runs campaigns across several retail media networks with different dashboards and definitions. The Retail Media Measurement Plan<\/strong> defines a shared taxonomy, normalization rules, and an executive scorecard (incremental revenue, profit, new customer share) plus a tactical view (CTR, CVR, CPC). This makes cross-network comparisons fair and improves decision speed in Commerce & Retail Media<\/strong> programs.<\/p>\n\n\n\n

              7) Benefits of Using Retail Media Measurement Plan<\/h2>\n\n\n\n

              A well-run Retail Media Measurement Plan<\/strong> delivers benefits that go beyond reporting:<\/p>\n\n\n\n

                \n
              • Performance improvements:<\/strong> clearer optimization targets reduce wasted spend and improve conversion efficiency.<\/li>\n
              • Cost savings:<\/strong> fewer \u201cvanity\u201d tactics persist when incrementality and margin are visible.<\/li>\n
              • Operational efficiency:<\/strong> standardized dashboards and definitions reduce manual reconciliation across retailer reports.<\/li>\n
              • Better customer experience:<\/strong> guardrails prevent overexposure, irrelevant targeting, and poor onsite experiences.<\/li>\n
              • Stronger collaboration:<\/strong> ecommerce, media, and finance align on outcomes and trade-offs.<\/li>\n<\/ul>\n\n\n\n

                In Commerce & Retail Media<\/strong>, these benefits compound because measurement quality directly influences budget confidence.<\/p>\n\n\n\n

                8) Challenges of Retail Media Measurement Plan<\/h2>\n\n\n\n

                A Retail Media Measurement Plan<\/strong> is valuable partly because measurement is hard. Common challenges include:<\/p>\n\n\n\n

                  \n
                • Fragmented data:<\/strong> each retailer has different reporting granularity, refresh times, and metric definitions.<\/li>\n
                • Attribution bias:<\/strong> last-click or platform-specific attribution can over-credit retail media versus other touchpoints.<\/li>\n
                • Limited user-level data:<\/strong> privacy constraints reduce cross-site and cross-device visibility, especially across retailers.<\/li>\n
                • SKU and catalog complexity:<\/strong> inconsistent product IDs, bundles, and variants can break reporting if not governed.<\/li>\n
                • Inventory and price volatility:<\/strong> stockouts, shipping delays, and dynamic pricing can distort performance signals.<\/li>\n
                • Organizational misalignment:<\/strong> teams optimize to different KPIs (media to ROAS, ecommerce to revenue, finance to margin).<\/li>\n<\/ul>\n\n\n\n

                  Naming these risks inside the Retail Media Measurement Plan<\/strong> prevents false certainty and improves decision quality.<\/p>\n\n\n\n

                  9) Best Practices for Retail Media Measurement Plan<\/h2>\n\n\n\n

                  To make your Retail Media Measurement Plan<\/strong> actionable and durable:<\/p>\n\n\n\n

                    \n
                  • Start with business decisions, not dashboards.<\/strong> Define what decisions you need to make (scale, cut, shift, test) and design measurement backward.<\/li>\n
                  • Use a KPI hierarchy.<\/strong> Pick one or two primary KPIs, a small set of diagnostics, and explicit guardrails (margin, availability, customer experience).<\/li>\n
                  • Separate \u201cattributed\u201d from \u201cincremental.\u201d<\/strong> Keep both, but don\u2019t confuse them; use tests or modeling to estimate causality.<\/li>\n
                  • Standardize taxonomy early.<\/strong> Enforce naming conventions for campaigns, audiences, creatives, retailers, and SKUs.<\/li>\n
                  • Build in experimentation.<\/strong> Pre-plan holdouts or geo tests for major initiatives (launches, big seasonal pushes).<\/li>\n
                  • Validate data routinely.<\/strong> Implement QA checks for spend pacing, conversion anomalies, and catalog changes.<\/li>\n
                  • Align cadence to action.<\/strong> Daily pacing for delivery issues; weekly optimization; monthly insights; quarterly strategy.<\/li>\n<\/ul>\n\n\n\n

                    These practices help Commerce & Retail Media<\/strong> teams scale without losing measurement integrity.<\/p>\n\n\n\n

                    10) Tools Used for Retail Media Measurement Plan<\/h2>\n\n\n\n

                    A Retail Media Measurement Plan<\/strong> is supported by a stack of systems rather than a single tool. Common tool categories in Commerce & Retail Media<\/strong> include:<\/p>\n\n\n\n

                      \n
                    • Retail media platform reporting tools:<\/strong> for campaign delivery, audience reporting, and placement-level performance.<\/li>\n
                    • Web and ecommerce analytics:<\/strong> to understand onsite behavior, funnels, and conversion paths where available.<\/li>\n
                    • Data warehouse\/lake and ETL pipelines:<\/strong> to unify costs, sales, product data, and retailer exports in consistent tables.<\/li>\n
                    • BI and reporting dashboards:<\/strong> for scorecards, drill-down analysis, and automated stakeholder updates.<\/li>\n
                    • CRM\/CDP systems:<\/strong> to connect retail media outcomes with customer lifecycle metrics where permitted.<\/li>\n
                    • Experimentation and lift measurement tools:<\/strong> for holdouts, geo testing, and incrementality estimation.<\/li>\n
                    • Tag management and data governance tooling:<\/strong> to maintain tracking hygiene and documentation.<\/li>\n<\/ul>\n\n\n\n

                      The plan should specify which tool is the \u201csource of truth\u201d for each metric and how discrepancies are resolved.<\/p>\n\n\n\n

                      11) Metrics Related to Retail Media Measurement Plan<\/h2>\n\n\n\n

                      A strong Retail Media Measurement Plan<\/strong> defines metrics with formulas and interpretation notes. Common metric groups:<\/p>\n\n\n\n

                      Performance and efficiency<\/h3>\n\n\n\n
                        \n
                      • Impressions, reach (where available), frequency<\/li>\n
                      • CTR, CPC, CPM<\/li>\n
                      • Conversion rate (CVR), cost per acquisition (CPA)<\/li>\n
                      • ROAS (and profit-adjusted ROAS where possible)<\/li>\n<\/ul>\n\n\n\n

                        Revenue and profitability<\/h3>\n\n\n\n
                          \n
                        • Attributed sales and units<\/li>\n
                        • Gross margin, contribution margin (where data exists)<\/li>\n
                        • Incremental sales and incremental ROAS (iROAS)<\/strong> estimates<\/li>\n<\/ul>\n\n\n\n

                          Customer and growth<\/h3>\n\n\n\n
                            \n
                          • New-to-brand\/new-to-category share<\/li>\n
                          • Repeat rate, retention proxy metrics (time-window repurchase)<\/li>\n
                          • Customer lifetime value (LTV) inputs (where measurable)<\/li>\n<\/ul>\n\n\n\n

                            Retail health and readiness<\/h3>\n\n\n\n
                              \n
                            • In-stock rate, buy box\/availability proxies<\/li>\n
                            • Price competitiveness signals<\/li>\n
                            • Return\/cancellation rate (if applicable)<\/li>\n<\/ul>\n\n\n\n

                              Brand and category signals (contextual)<\/h3>\n\n\n\n
                                \n
                              • Share of search or share of shelf (when available)<\/li>\n
                              • Consideration proxies (engaged views, video completion, add-to-cart)<\/li>\n<\/ul>\n\n\n\n

                                In Commerce & Retail Media<\/strong>, the most important discipline is documenting what each metric can and cannot prove.<\/p>\n\n\n\n

                                12) Future Trends of Retail Media Measurement Plan<\/h2>\n\n\n\n

                                The Retail Media Measurement Plan<\/strong> is evolving quickly as the ecosystem matures:<\/p>\n\n\n\n

                                  \n
                                • AI-assisted measurement and forecasting:<\/strong> automated anomaly detection, budget reallocation suggestions, and scenario planning based on historical elasticities.<\/li>\n
                                • More experimentation by default:<\/strong> lift testing becomes standard for larger spends as leadership demands causal proof.<\/li>\n
                                • Privacy-safe collaboration:<\/strong> aggregated reporting and clean-room-style workflows increase as user-level data access tightens.<\/li>\n
                                • Standardization pressure:<\/strong> brands push for more consistent definitions across retail networks to reduce reconciliation overhead.<\/li>\n
                                • Omnichannel expansion:<\/strong> measurement must account for in-store sales, pickup, and offline outcomes tied to retail media exposure.<\/li>\n
                                • Profit-first optimization:<\/strong> rising media costs and margin scrutiny move programs from revenue-only to profit and incrementality.<\/li>\n<\/ul>\n\n\n\n

                                  In Commerce & Retail Media<\/strong>, the winners will be the teams that treat measurement as a product\u2014iterated, governed, and improved continuously.<\/p>\n\n\n\n

                                  13) Retail Media Measurement Plan vs Related Terms<\/h2>\n\n\n\n

                                  Retail Media Measurement Plan vs Attribution Model<\/h3>\n\n\n\n

                                  An attribution model is a method for assigning credit for conversions (e.g., last-click, rules-based, data-driven). A Retail Media Measurement Plan<\/strong> is broader: it defines objectives, KPIs, governance, testing, reporting, and how attribution is used (and constrained).<\/p>\n\n\n\n

                                  Retail Media Measurement Plan vs Incrementality Testing<\/h3>\n\n\n\n

                                  Incrementality testing (holdouts, geo tests) estimates causal lift. The Retail Media Measurement Plan<\/strong> decides when<\/strong> to run tests, what success thresholds apply, how results generalize, and how they feed budget decisions.<\/p>\n\n\n\n

                                  Retail Media Measurement Plan vs Media Mix Modeling (MMM)<\/h3>\n\n\n\n

                                  MMM uses aggregated data to estimate channel contribution over time. A Retail Media Measurement Plan<\/strong> may include MMM as one component, but also covers tactical KPIs, retailer-level diagnostics, and operational reporting needed for weekly optimization.<\/p>\n\n\n\n

                                  14) Who Should Learn Retail Media Measurement Plan<\/h2>\n\n\n\n
                                    \n
                                  • Marketers:<\/strong> to connect retail media tactics to business outcomes and defend budgets with credible measurement.<\/li>\n
                                  • Analysts:<\/strong> to standardize definitions, reduce reporting chaos, and build scalable data products for Commerce & Retail Media<\/strong>.<\/li>\n
                                  • Agencies:<\/strong> to deliver consistent cross-retailer reporting and clear optimization frameworks for clients.<\/li>\n
                                  • Business owners and founders:<\/strong> to understand what retail media performance claims mean and avoid misleading ROI narratives.<\/li>\n
                                  • Developers and data engineers:<\/strong> to implement pipelines, normalization, QA, and governance that make a Retail Media Measurement Plan<\/strong> operational.<\/li>\n<\/ul>\n\n\n\n

                                    If you touch planning, buying, reporting, or data in Commerce & Retail Media<\/strong>, this is a foundational skill.<\/p>\n\n\n\n

                                    15) Summary of Retail Media Measurement Plan<\/h2>\n\n\n\n

                                    A Retail Media Measurement Plan<\/strong> is a documented framework that defines how retail media success is measured, validated, and acted on. It matters because Commerce & Retail Media<\/strong> performance is easy to misread when data is fragmented and attribution is biased. By aligning goals, KPIs, data sources, methods (including incrementality), and governance, the plan turns reporting into decision-making. Ultimately, it helps Commerce & Retail Media<\/strong> teams scale responsibly, improve profitability, and build repeatable learning.<\/p>\n\n\n\n

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

                                    1) What should a Retail Media Measurement Plan include at minimum?<\/h3>\n\n\n\n

                                    At minimum: business objectives, a KPI hierarchy, data sources with owners, metric definitions\/formulas, reporting cadence, and a decision framework for optimization (what actions happen when metrics move).<\/p>\n\n\n\n

                                    2) How do I measure incrementality in retail media without perfect data?<\/h3>\n\n\n\n

                                    Use pragmatic methods: structured holdouts where possible, geo or time-based tests with controls, and triangulation with modeling. Document limitations in the Retail Media Measurement Plan<\/strong> so stakeholders don\u2019t treat attributed sales as causal lift.<\/p>\n\n\n\n

                                    3) Which KPIs matter most in Commerce & Retail Media?<\/h3>\n\n\n\n

                                    Primary KPIs depend on strategy, but common priorities are incremental sales\/profit, new-to-brand share, and margin-aware returns. Secondary KPIs like CTR and CVR help diagnose performance, not define success.<\/p>\n\n\n\n

                                    4) How often should retail media measurement be reported?<\/h3>\n\n\n\n

                                    Daily for pacing and delivery issues, weekly for optimization and SKU-level changes, monthly for insights and cross-retailer comparisons, and quarterly for strategic learning and planning.<\/p>\n\n\n\n

                                    5) How do I compare performance across different retail media networks fairly?<\/h3>\n\n\n\n

                                    Normalize taxonomy and time windows, align KPI definitions, separate attributed vs incremental views, and include context signals like availability and price. Your Retail Media Measurement Plan<\/strong> should spell out the normalization rules.<\/p>\n\n\n\n

                                    6) What are the most common mistakes teams make with retail media measurement?<\/h3>\n\n\n\n

                                    Over-relying on last-click attribution, ignoring margin and stock, changing KPIs mid-quarter without governance, and reporting too many metrics without a decision framework.<\/p>\n\n\n\n

                                    7) Can a small team build a useful Retail Media Measurement Plan?<\/h3>\n\n\n\n

                                    Yes. Start with a foundational version: consistent naming, a single scorecard, agreed definitions, and one or two learning experiments per quarter. Expand sophistication as spend and complexity grow.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                    A **Retail Media Measurement Plan** is the blueprint that turns retail media activity into credible, decision-ready insights. In **Commerce & Retail Media**, where ads run inside retailer ecosystems (onsite, offsite, and increasingly in-store), measurement is often fragmented across platforms, teams, and data sources. A plan aligns everyone on what success means, how it will be measured, and how results will drive action.<\/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-6767","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\/6767","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=6767"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/6767\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=6767"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=6767"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=6767"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}