{"id":6721,"date":"2026-03-23T09:53:47","date_gmt":"2026-03-23T09:53:47","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/retail-readiness-score\/"},"modified":"2026-03-23T09:53:47","modified_gmt":"2026-03-23T09:53:47","slug":"retail-readiness-score","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/retail-readiness-score\/","title":{"rendered":"Retail Readiness Score: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Commerce & Retail Media"},"content":{"rendered":"\n

A Retail Readiness Score<\/strong> is a structured way to quantify how prepared a brand, product line, or retailer account is to win on the digital shelf and in paid placements. In Commerce & Retail Media<\/strong>, it acts like a diagnostic\u2014revealing whether your fundamentals (availability, content, pricing, reviews, and fulfillment) are strong enough to convert traffic before you scale spend.<\/p>\n\n\n\n

This matters because Commerce & Retail Media<\/strong> performance is constrained by retail realities. Even the best-targeted campaigns underperform when items are out of stock, listings are incomplete, or the offer is uncompetitive. A well-designed Retail Readiness Score<\/strong> turns \u201cwe think we\u2019re ready\u201d into an evidence-based decision that improves outcomes across both retail operations and marketing.<\/p>\n\n\n\n

What Is Retail Readiness Score?<\/h2>\n\n\n\n

A Retail Readiness Score<\/strong> is a composite scorecard that evaluates the key factors influencing a shopper\u2019s likelihood to discover, trust, and purchase your products on retailer channels. It combines multiple signals\u2014often across content quality, availability, pricing, promotions, reviews, and execution readiness\u2014into a single, trackable metric.<\/p>\n\n\n\n

At its core, the concept is simple: retail performance is multi-factorial, and teams need a consistent way to prioritize fixes. The business meaning is even more practical: the score highlights where to invest time and budget to improve conversion, reduce wasted ad spend, and protect brand perception.<\/p>\n\n\n\n

Within Commerce & Retail Media<\/strong>, the Retail Readiness Score<\/strong> functions as a bridge between retail operations (like inventory and assortment), eCommerce execution (like product detail pages), and media activation (like sponsored placements and offsite retail audiences). Inside Commerce & Retail Media<\/strong>, it helps align stakeholders around a shared definition of \u201cready to scale.\u201d<\/p>\n\n\n\n

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

In Commerce & Retail Media<\/strong>, media efficiency is inseparable from retail execution. A Retail Readiness Score<\/strong> matters because it:<\/p>\n\n\n\n

    \n
  • Prevents wasted spend<\/strong>: Paying for clicks to out-of-stock items or weak PDPs drives poor ROAS and customer frustration.<\/li>\n
  • Improves conversion rate<\/strong>: Better content, competitive offers, and strong reviews translate into higher add-to-cart and purchase rates.<\/li>\n
  • Creates a repeatable operating model<\/strong>: Teams can track readiness over time, set thresholds, and standardize launch checklists across retailers.<\/li>\n
  • Enables smarter prioritization<\/strong>: Not every SKU needs the same work. The score focuses effort where it will move results fastest.<\/li>\n
  • Strengthens competitive advantage<\/strong>: When competitors run media without fixing fundamentals, a readiness-led approach can win share with less budget.<\/li>\n<\/ul>\n\n\n\n

    For modern Commerce & Retail Media<\/strong> teams, the Retail Readiness Score<\/strong> is less about a \u201cperfect\u201d number and more about a reliable system for making better decisions under time and budget constraints.<\/p>\n\n\n\n

    How Retail Readiness Score Works<\/h2>\n\n\n\n

    A Retail Readiness Score<\/strong> is typically implemented as a practical workflow rather than a rigid standard. In day-to-day Commerce & Retail Media<\/strong> operations, it often works like this:<\/p>\n\n\n\n

      \n
    1. \n

      Inputs (what you measure)<\/strong>\n You collect data about the retail offer and shopper experience\u2014inventory status, content completeness, price competitiveness, ratings\/reviews, shipping eligibility, and campaign prerequisites (such as tracking and attribution readiness).<\/p>\n<\/li>\n

    2. \n

      Analysis (how you interpret it)<\/strong>\n Each factor is scored against a defined benchmark (for example, \u201cPDP has 6 images and 1 video,\u201d \u201crating is above 4.2,\u201d \u201cin-stock rate above 95%\u201d). Scores may be weighted based on category dynamics\u2014availability and price may matter more in commodities, while content and reviews may matter more in considered purchases.<\/p>\n<\/li>\n

    3. \n

      Execution (how teams act on it)<\/strong>\n The output becomes a prioritized action plan: fix out-of-stocks, upgrade titles and attributes, enrich imagery, address review gaps, correct taxonomy, align promotions, or adjust bidding to avoid low-readiness SKUs.<\/p>\n<\/li>\n

    4. \n

      Outputs (what improves)<\/strong>\n Teams track the Retail Readiness Score<\/strong> alongside business KPIs. The goal is to lift readiness before scaling spend, then verify downstream impact on conversion, ROAS, and share growth within Commerce & Retail Media<\/strong> programs.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

      Key Components of Retail Readiness Score<\/h2>\n\n\n\n

      While implementations vary, most Retail Readiness Score<\/strong> frameworks include these component areas:<\/p>\n\n\n\n

      Retail fundamentals (the \u201cmust be true\u201d factors)<\/h3>\n\n\n\n
        \n
      • Availability & in-stock rate<\/strong>: Frequent stockouts typically overwhelm any media optimization.<\/li>\n
      • Assortment & buyability<\/strong>: Correct item setup, active status, and eligible fulfillment options.<\/li>\n
      • Price & offer competitiveness<\/strong>: Price index, shipping cost, subscribe-and-save or bundle options where relevant.<\/li>\n<\/ul>\n\n\n\n

        Digital shelf quality (the \u201cmust convince\u201d factors)<\/h3>\n\n\n\n
          \n
        • Content completeness<\/strong>: Titles, bullets, descriptions, attributes, and category taxonomy accuracy.<\/li>\n
        • Creative quality<\/strong>: Image count, resolution, zoom, lifestyle imagery, and video presence.<\/li>\n
        • Ratings & reviews health<\/strong>: Average rating, review volume, recency, and review sentiment patterns.<\/li>\n<\/ul>\n\n\n\n

          Retail media execution readiness (the \u201cmust be measurable\u201d factors)<\/h3>\n\n\n\n
            \n
          • Retail media compliance<\/strong>: Correct brand\/ASIN\/SKU mapping, eligibility, and policy adherence.<\/li>\n
          • Tracking and measurement<\/strong>: Clean product IDs, consistent naming, and reporting consistency across campaigns.<\/li>\n
          • Budgeting and governance<\/strong>: Clear owners for retail operations vs media, and a cadence for resolving blockers.<\/li>\n<\/ul>\n\n\n\n

            The strongest Retail Readiness Score<\/strong> programs define owners for each component so the score leads to action, not just reporting.<\/p>\n\n\n\n

            Types of Retail Readiness Score<\/h2>\n\n\n\n

            There is no universal standard, but in Commerce & Retail Media<\/strong> practice, you\u2019ll commonly see these distinctions:<\/p>\n\n\n\n

              \n
            1. \n

              SKU-level vs category-level readiness<\/strong>\n SKU-level scores drive tactical actions (fix one PDP). Category-level scores guide strategy (where to invest content, reviews, and media).<\/p>\n<\/li>\n

            2. \n

              Retailer-specific readiness vs cross-retailer readiness<\/strong>\n A retailer-specific Retail Readiness Score<\/strong> accounts for that retailer\u2019s content rules, fulfillment options, and shopper expectations. Cross-retailer models normalize metrics to compare readiness across accounts.<\/p>\n<\/li>\n

            3. \n

              Organic shelf readiness vs paid media readiness<\/strong>\n Organic readiness emphasizes discoverability and conversion (content, reviews, availability). Paid readiness adds campaign prerequisites (tracking integrity, buy-box\/featured offer stability, landing page experience, and creative fit).<\/p>\n<\/li>\n

            4. \n

              Pre-launch readiness vs in-market readiness<\/strong>\n Pre-launch scoring checks whether a new product is ready to scale traffic. In-market scoring monitors whether performance is being constrained by retail execution issues.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

              Real-World Examples of Retail Readiness Score<\/h2>\n\n\n\n

              Example 1: Scaling sponsored campaigns without wasting spend<\/h3>\n\n\n\n

              A brand plans to increase budgets for top SKUs during a seasonal peak. The Retail Readiness Score<\/strong> reveals two \u201chero\u201d SKUs have low readiness due to inconsistent in-stock rates and weak review volume. The team reallocates budget temporarily toward higher-readiness SKUs, while retail ops prioritizes replenishment and a post-purchase review program. In Commerce & Retail Media<\/strong>, this reduces wasted clicks and stabilizes ROAS during the peak window.<\/p>\n\n\n\n

              Example 2: Fixing conversion before driving new-to-brand traffic<\/h3>\n\n\n\n

              An agency is running prospecting using retailer audiences and offsite placements. Traffic is strong, but conversion is weak. The Retail Readiness Score<\/strong> flags content gaps: missing key attributes, limited imagery, and unclear sizing information. After improving PDP content and creative consistency, conversion rate rises\u2014making the same audience strategy profitable. This is a classic Commerce & Retail Media<\/strong> pattern: fix the shelf, then scale the funnel.<\/p>\n\n\n\n

              Example 3: Retailer expansion with a readiness gate<\/h3>\n\n\n\n

              A founder-led brand expands into a new retailer account. Instead of launching ads immediately, they use a Retail Readiness Score<\/strong> checklist: item setup, taxonomy, fulfillment eligibility, baseline review plan, competitive price bands, and reporting structure. Only SKUs above a defined threshold enter paid campaigns. The result is faster time-to-performance and fewer \u201cfalse negatives\u201d where media is blamed for retail setup issues.<\/p>\n\n\n\n

              Benefits of Using Retail Readiness Score<\/h2>\n\n\n\n

              A well-run Retail Readiness Score<\/strong> approach can deliver:<\/p>\n\n\n\n

                \n
              • Higher marketing efficiency<\/strong>: Better conversion rates improve ROAS and reduce the need for excessive bidding.<\/li>\n
              • Lower operational fire drills<\/strong>: Issues get identified early (before large campaigns or seasonal ramps).<\/li>\n
              • Faster troubleshooting<\/strong>: When performance dips, the score helps isolate whether the problem is availability, offer, content, or media.<\/li>\n
              • Better customer experience<\/strong>: Clear content, reliable fulfillment, and strong review signals reduce returns and increase satisfaction.<\/li>\n
              • Stronger cross-team alignment<\/strong>: Media, eCommerce, and supply chain teams share a common language for priorities in Commerce & Retail Media<\/strong>.<\/li>\n<\/ul>\n\n\n\n

                Challenges of Retail Readiness Score<\/h2>\n\n\n\n

                A Retail Readiness Score<\/strong> is powerful, but it\u2019s not trivial to implement well. Common challenges include:<\/p>\n\n\n\n

                  \n
                • Data quality and latency<\/strong>: Inventory, pricing, and content updates may lag, creating misleading scores if not time-stamped and validated.<\/li>\n
                • Retailer differences<\/strong>: Each retailer defines content standards and fulfillment options differently, complicating normalization.<\/li>\n
                • Over-simplification risk<\/strong>: A single number can hide important nuance (for example, great content but poor availability).<\/li>\n
                • Weighting debates<\/strong>: Teams may disagree about what matters most; weighting should be evidence-based and revisited.<\/li>\n
                • Attribution confusion<\/strong>: A higher score often correlates with better performance, but correlation is not proof of causation. Treat the score as a decision aid, then validate through controlled tests where feasible.<\/li>\n<\/ul>\n\n\n\n

                  Best Practices for Retail Readiness Score<\/h2>\n\n\n\n

                  To make a Retail Readiness Score<\/strong> actionable and trusted:<\/p>\n\n\n\n

                    \n
                  1. \n

                    Define clear thresholds and actions<\/strong>\n Example: \u201cBelow 70: fix before scaling media; 70\u201385: selective spend with guardrails; 85+: eligible for full-funnel investment.\u201d<\/p>\n<\/li>\n

                  2. \n

                    Weight based on category reality<\/strong>\n For fast-moving essentials, availability and price may dominate. For premium or technical products, content depth and reviews may deserve heavier weighting.<\/p>\n<\/li>\n

                  3. \n

                    Separate leading indicators from outcomes<\/strong>\n Readiness factors (content completeness, in-stock rate) are leading indicators. ROAS and sales are outcomes. Track both, but don\u2019t confuse them.<\/p>\n<\/li>\n

                  4. \n

                    Create owners and SLAs<\/strong>\n Assign who fixes what: supply chain owns in-stock, eCommerce owns content, media owns activation rules. Add service-level expectations for resolving issues.<\/p>\n<\/li>\n

                  5. \n

                    Operationalize a cadence<\/strong>\n Weekly readiness reviews for top SKUs and monthly reviews for the broader assortment often work well in Commerce & Retail Media<\/strong> teams.<\/p>\n<\/li>\n

                  6. \n

                    Use controlled experimentation where possible<\/strong>\n When you improve one readiness driver (like imagery or A+ content equivalents), test before\/after with matched SKUs or time-boxed pilots to quantify impact.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                    Tools Used for Retail Readiness Score<\/h2>\n\n\n\n

                    A Retail Readiness Score<\/strong> is usually built from multiple systems rather than a single tool. Common tool categories in Commerce & Retail Media<\/strong> include:<\/p>\n\n\n\n

                      \n
                    • Retail reporting and sales analytics<\/strong>: To track sell-through, conversion, and SKU performance.<\/li>\n
                    • Digital shelf and content auditing tools<\/strong>: To measure content completeness, share of search, and PDP quality signals.<\/li>\n
                    • Product information management (PIM) and feed management<\/strong>: To govern titles, attributes, taxonomy, and syndication consistency.<\/li>\n
                    • Digital asset management (DAM)<\/strong>: To manage image\/video standards, versions, and retailer-specific creative requirements.<\/li>\n
                    • Retail media platforms and campaign managers<\/strong>: To enforce \u201creadiness gates\u201d for which SKUs can receive spend.<\/li>\n
                    • BI dashboards and reporting layers<\/strong>: To combine inputs into the Retail Readiness Score<\/strong>, track trends, and automate alerts.<\/li>\n
                    • CRM\/CDP and customer insights systems<\/strong>: To inform review generation, lifecycle messaging, and audience strategy connected to Commerce & Retail Media<\/strong> activation.<\/li>\n<\/ul>\n\n\n\n

                      The point isn\u2019t tool complexity; it\u2019s building a reliable measurement loop that teams trust and act on.<\/p>\n\n\n\n

                      Metrics Related to Retail Readiness Score<\/h2>\n\n\n\n

                      A Retail Readiness Score<\/strong> is made from metrics, and it should also be validated against performance metrics. Common indicators include:<\/p>\n\n\n\n

                      Readiness (leading) metrics<\/h3>\n\n\n\n
                        \n
                      • In-stock rate \/ on-shelf availability<\/strong><\/li>\n
                      • Buyable rate<\/strong> (percentage of time items are purchasable)<\/li>\n
                      • Content completeness score<\/strong> (titles, bullets, attributes, images, video)<\/li>\n
                      • Price index<\/strong> vs key competitors<\/li>\n
                      • Promo coverage and compliance<\/strong> (correct price\/discount display)<\/li>\n
                      • Rating average and review count<\/strong><\/li>\n
                      • Fulfillment eligibility<\/strong> (fast shipping options, subscription options where relevant)<\/li>\n<\/ul>\n\n\n\n

                        Performance (lagging) metrics<\/h3>\n\n\n\n
                          \n
                        • Conversion rate<\/strong> and add-to-cart rate<\/strong><\/li>\n
                        • ROAS \/ blended ROI<\/strong><\/li>\n
                        • Cost per acquisition<\/strong> or cost per incremental sale (where measurable)<\/li>\n
                        • Share of search \/ share of shelf<\/strong> (category visibility)<\/li>\n
                        • New-to-brand rate<\/strong> (when available)<\/li>\n
                        • Return rate<\/strong> (often tied to content clarity and expectations)<\/li>\n<\/ul>\n\n\n\n

                          A strong Retail Readiness Score<\/strong> program connects leading readiness metrics to lagging outcomes to prove which improvements matter most.<\/p>\n\n\n\n

                          Future Trends of Retail Readiness Score<\/h2>\n\n\n\n

                          Several trends are shaping how the Retail Readiness Score<\/strong> evolves within Commerce & Retail Media<\/strong>:<\/p>\n\n\n\n

                            \n
                          • AI-assisted auditing and recommendations<\/strong>: Automated detection of content gaps, image quality issues, and attribute inconsistencies will speed up readiness improvements.<\/li>\n
                          • More granular personalization<\/strong>: Readiness may be scored by audience context (for example, mobile experience vs desktop, or fast-delivery-eligible shoppers vs standard).<\/li>\n
                          • Tighter retail media automation<\/strong>: Expect more \u201crules-based activation,\u201d where platforms automatically reduce spend on low-readiness SKUs and reallocate budget.<\/li>\n
                          • Privacy-driven measurement shifts<\/strong>: As identity and tracking constraints grow, brands will rely more on aggregated retail reporting and modeled incrementality\u2014making readiness (what you can control) even more important.<\/li>\n
                          • Incrementality and causal testing<\/strong>: Teams will increasingly pair Retail Readiness Score<\/strong> improvements with experiments to separate true lift from seasonality or promo effects.<\/li>\n<\/ul>\n\n\n\n

                            In short, the score will become more automated, more predictive, and more integrated into how Commerce & Retail Media<\/strong> teams manage budgets.<\/p>\n\n\n\n

                            Retail Readiness Score vs Related Terms<\/h2>\n\n\n\n

                            Retail Readiness Score vs Digital Shelf Analytics<\/h3>\n\n\n\n

                            Digital shelf analytics<\/strong> focuses on measuring visibility and content performance across retailer sites (share of search, content compliance, ratings). A Retail Readiness Score<\/strong> often uses digital shelf analytics as inputs, but adds operational and media execution factors\u2014making it more decision-oriented for scaling spend.<\/p>\n\n\n\n

                            Retail Readiness Score vs Retail Media Readiness<\/h3>\n\n\n\n

                            Retail media readiness<\/strong> is narrower: it asks whether campaigns can run effectively (tracking, creative formats, eligibility, landing pages, offer stability). A Retail Readiness Score<\/strong> typically includes retail media readiness, but also covers broader retail fundamentals like in-stock health and PDP quality.<\/p>\n\n\n\n

                            Retail Readiness Score vs Merchandising Scorecard<\/h3>\n\n\n\n

                            A merchandising scorecard<\/strong> often emphasizes assortment, placement, promo participation, and retail execution. The Retail Readiness Score<\/strong> is usually more shopper-experience and conversion focused, and it\u2019s designed to directly inform Commerce & Retail Media<\/strong> investment decisions.<\/p>\n\n\n\n

                            Who Should Learn Retail Readiness Score<\/h2>\n\n\n\n
                              \n
                            • Marketers<\/strong> use the Retail Readiness Score<\/strong> to choose which products to promote, set launch gates, and improve ROAS by fixing conversion constraints.<\/li>\n
                            • Analysts<\/strong> benefit by turning messy retail signals into a consistent model and tying readiness drivers to outcomes.<\/li>\n
                            • Agencies<\/strong> use it to onboard clients faster, justify prioritization, and avoid blaming media for retail setup problems.<\/li>\n
                            • Business owners and founders<\/strong> gain a clear framework for deciding when to spend, where to fix fundamentals, and how to scale responsibly.<\/li>\n
                            • Developers and data teams<\/strong> can operationalize scoring pipelines, alerts, and dashboards that make Commerce & Retail Media<\/strong> execution measurable and repeatable.<\/li>\n<\/ul>\n\n\n\n

                              Summary of Retail Readiness Score<\/h2>\n\n\n\n

                              A Retail Readiness Score<\/strong> is a composite measure of how prepared your products and retail presence are to convert shoppers and support efficient media investment. It matters because Commerce & Retail Media<\/strong> results depend on retail fundamentals\u2014availability, offer strength, content quality, and trust signals like reviews. Used well, the Retail Readiness Score<\/strong> helps teams prioritize fixes, reduce wasted spend, and scale campaigns with confidence, making it a practical foundation for modern Commerce & Retail Media<\/strong> strategy.<\/p>\n\n\n\n

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

                              1) What is a Retail Readiness Score in simple terms?<\/h3>\n\n\n\n

                              A Retail Readiness Score<\/strong> is a scorecard that combines key retail and digital shelf factors\u2014like in-stock status, PDP content quality, price competitiveness, and reviews\u2014to show whether a product is ready to perform when you drive traffic to it.<\/p>\n\n\n\n

                              2) How does Retail Readiness Score improve ROAS?<\/h3>\n\n\n\n

                              It improves ROAS by preventing spend on SKUs that can\u2019t convert efficiently (out of stock, weak content, poor reviews) and by guiding teams toward the highest-impact fixes that raise conversion rates.<\/p>\n\n\n\n

                              3) How often should we update a Retail Readiness Score?<\/h3>\n\n\n\n

                              For top-selling SKUs and active campaigns, weekly updates are common. For long-tail assortments, monthly can be sufficient. The right cadence depends on how fast inventory, pricing, and content change.<\/p>\n\n\n\n

                              4) What\u2019s a good threshold for \u201cready\u201d?<\/h3>\n\n\n\n

                              There\u2019s no universal benchmark. Many teams set internal tiers (for example, \u201celigible to scale,\u201d \u201cmonitor,\u201d and \u201cfix first\u201d) based on category norms and historical performance relationships.<\/p>\n\n\n\n

                              5) Is Retail Readiness Score only for paid campaigns?<\/h3>\n\n\n\n

                              No. While it\u2019s very useful for protecting Commerce & Retail Media<\/strong> efficiency, it also improves organic discoverability and conversion by strengthening the digital shelf experience.<\/p>\n\n\n\n

                              6) Which teams should own the score?<\/h3>\n\n\n\n

                              Ownership is usually shared: eCommerce\/content teams own listing quality, supply chain owns availability, and media teams own activation rules. A single score owner (often a commerce lead) helps maintain accountability.<\/p>\n\n\n\n

                              7) How does Commerce & Retail Media change what \u201creadiness\u201d means?<\/h3>\n\n\n\n

                              In Commerce & Retail Media<\/strong>, readiness must include both retail fundamentals (buyability, offer, trust) and media execution needs (tracking integrity, SKU mapping, creative requirements). The score helps unify those requirements into one operating view.<\/p>\n","protected":false},"excerpt":{"rendered":"

                              A **Retail Readiness Score** is a structured way to quantify how prepared a brand, product line, or retailer account is to win on the digital shelf and in paid placements. In **Commerce & Retail Media**, it acts like a diagnostic\u2014revealing whether your fundamentals (availability, content, pricing, reviews, and fulfillment) are strong enough to convert traffic before you scale spend.<\/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-6721","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\/6721","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=6721"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/6721\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=6721"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=6721"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=6721"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}