{"id":11292,"date":"2026-04-01T16:49:00","date_gmt":"2026-04-01T16:49:00","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/buy-box-percentage\/"},"modified":"2026-04-01T16:49:00","modified_gmt":"2026-04-01T16:49:00","slug":"buy-box-percentage","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/buy-box-percentage\/","title":{"rendered":"Buy Box Percentage: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Shopping Ads"},"content":{"rendered":"\n

Buy Box Percentage is a deceptively simple metric with outsized impact in Paid Marketing<\/strong>, especially when you run Shopping Ads<\/strong> for products that compete against other sellers, offers, or retailers on the same item. It tells you how often your offer is the one customers can actually buy from in the primary purchase area\u2014meaning your ads and product visibility can translate into sales instead of \u201calmost\u201d sales.<\/p>\n\n\n\n

In modern Paid Marketing<\/strong>, budgets are increasingly spent on high-intent commerce placements where the user is ready to purchase. If your pricing, stock, fulfillment, and seller quality don\u2019t qualify you for the buy box, the best Shopping Ads<\/strong> structure in the world may still underperform. That\u2019s why Buy Box Percentage belongs in the same performance conversation as ROAS, conversion rate, and impression share.<\/p>\n\n\n\n

2) What Is Buy Box Percentage?<\/h2>\n\n\n\n

Buy Box Percentage<\/strong> is the proportion of eligible product views (or eligible purchase opportunities) where your<\/em> offer is selected as the primary offer customers can buy from\u2014often displayed as a prominent \u201cAdd to Cart\u201d or \u201cBuy Now\u201d area on a commerce platform or marketplace.<\/p>\n\n\n\n

At its core, Buy Box Percentage answers one operational question with major business meaning: When shoppers land on a product, are we the default seller\/offer they can purchase from?<\/strong> If the answer is \u201cno\u201d too often, you can still drive traffic with Paid Marketing<\/strong>, but you will struggle to convert that traffic efficiently.<\/p>\n\n\n\n

From a business perspective, Buy Box Percentage is less about \u201cwho has the best ad\u201d and more about who has the best overall offer<\/strong> at the moment of purchase\u2014price competitiveness, in-stock status, delivery promise, seller performance, and customer experience signals.<\/p>\n\n\n\n

Within Paid Marketing<\/strong>, Buy Box Percentage acts like a gatekeeper metric: it doesn\u2019t replace ad metrics, but it determines whether ad-driven demand can be captured. In Shopping Ads<\/strong>, this is particularly relevant because the ad often routes users to a product detail context where multiple offers may exist, and the platform may prioritize one offer over others.<\/p>\n\n\n\n

3) Why Buy Box Percentage Matters in Paid Marketing<\/h2>\n\n\n\n

Buy Box Percentage matters because it connects commercial readiness<\/strong> to advertising outcomes. You can optimize bids, creatives, and targeting, but you cannot \u201cbid your way out\u201d of being uncompetitive on price, unavailable on inventory, or weak on fulfillment promises.<\/p>\n\n\n\n

Key ways Buy Box Percentage<\/strong> drives Paid Marketing<\/strong> value:<\/p>\n\n\n\n

    \n
  • Protects ROAS and CPA:<\/strong> If you lose the buy box, clicks from Shopping Ads<\/strong> can become wasted spend or underperforming spend.<\/li>\n
  • Improves conversion reliability:<\/strong> Higher Buy Box Percentage typically means a higher share of sessions where the customer can purchase from you without friction.<\/li>\n
  • Creates a sustainable competitive advantage:<\/strong> Competitors can copy bids; it\u2019s harder to copy operational excellence (stock, shipping speed, service levels).<\/li>\n
  • Enables smarter scaling:<\/strong> When Buy Box Percentage is stable, you can increase budgets with more confidence that additional traffic can convert.<\/li>\n<\/ul>\n\n\n\n

    In highly competitive product categories, Buy Box Percentage is often the difference between profitable Paid Marketing<\/strong> and constant margin erosion.<\/p>\n\n\n\n

    4) How Buy Box Percentage Works<\/h2>\n\n\n\n

    Buy Box Percentage is partly algorithmic and partly operational. In practice, it works like a cycle that links your commerce fundamentals to your ad performance:<\/p>\n\n\n\n

    1) Input \/ Eligibility conditions<\/strong>\nYour offer becomes eligible based on factors such as product matching (same item\/SKU), seller or merchant status, policy compliance, inventory availability, shipping promise, and pricing rules.<\/p>\n\n\n\n

    2) Analysis \/ Platform selection logic<\/strong>\nThe commerce platform evaluates competing offers and selects a primary offer. The selection is typically influenced by:\n– Price and total cost (including shipping)\n– Stock availability and delivery speed\n– Seller ratings, defect rates, returns, and customer service signals\n– Fulfillment method and reliability indicators<\/p>\n\n\n\n

    3) Execution \/ Customer experience<\/strong>\nShoppers see the product page or purchase interface where one offer is positioned as the default purchase option. Your Shopping Ads<\/strong> click may land the user there, but the buy box determines whether your<\/em> offer is the one they can buy immediately.<\/p>\n\n\n\n

    4) Output \/ Outcome<\/strong>\nBuy Box Percentage<\/strong> is reported as the share of eligible impressions or views where you won that primary offer position. Higher Buy Box Percentage generally increases the likelihood that ad clicks lead to orders, improving Paid Marketing<\/strong> efficiency.<\/p>\n\n\n\n

    The important nuance: Buy Box Percentage is not purely an advertising metric. It\u2019s a commercial competitiveness metric that strongly conditions Paid Marketing<\/strong> outcomes.<\/p>\n\n\n\n

    5) Key Components of Buy Box Percentage<\/h2>\n\n\n\n

    To manage Buy Box Percentage<\/strong> well, you need a cross-functional view that spans marketing, merchandising, and operations.<\/p>\n\n\n\n

    Data inputs that influence Buy Box Percentage<\/h3>\n\n\n\n
      \n
    • Price competitiveness:<\/strong> Base price, promotions, and total landed cost<\/li>\n
    • Inventory health:<\/strong> In-stock rate, backorders, and stock-out frequency<\/li>\n
    • Fulfillment performance:<\/strong> Delivery speed, on-time shipping, cancellation rates<\/li>\n
    • Seller quality signals:<\/strong> Ratings, returns, support responsiveness, policy compliance<\/li>\n
    • Offer quality:<\/strong> Accurate product attributes, variants, and condition (new\/used\/refurbished where applicable)<\/li>\n<\/ul>\n\n\n\n

      Systems and processes<\/h3>\n\n\n\n
        \n
      • Product feed and catalog governance:<\/strong> Ensures correct matching, attributes, and availability for Shopping Ads<\/strong><\/li>\n
      • Pricing and promotion processes:<\/strong> Rules, guardrails, and approvals to avoid margin-destroying reactions<\/li>\n
      • Inventory forecasting and replenishment:<\/strong> Prevents stock-outs that tank Buy Box Percentage and Paid Marketing<\/strong> performance<\/li>\n
      • Operational SLAs:<\/strong> Shipping and service standards that keep eligibility strong<\/li>\n<\/ul>\n\n\n\n

        Team responsibilities<\/h3>\n\n\n\n
          \n
        • Marketing manages budgets, queries, and Shopping Ads<\/strong> structure.<\/li>\n
        • Merchandising manages pricing, assortment, and promotions.<\/li>\n
        • Operations\/logistics manages fulfillment reliability and speed.<\/li>\n
        • Analytics connects Buy Box Percentage shifts to Paid Marketing<\/strong> metrics like ROAS and CVR.<\/li>\n<\/ul>\n\n\n\n

          6) Types of Buy Box Percentage<\/h2>\n\n\n\n

          Buy Box Percentage doesn\u2019t have \u201ctypes\u201d in the way a bidding strategy does, but in real work it\u2019s tracked across meaningful contexts:<\/p>\n\n\n\n

            \n
          • By product (SKU-level):<\/strong> Critical for identifying which items are losing the buy box and why.<\/li>\n
          • By category\/brand:<\/strong> Useful for merchandising decisions and margin strategy.<\/li>\n
          • By channel or platform:<\/strong> Buy box dynamics vary by marketplace, retail media network, or commerce environment.<\/li>\n
          • By geography:<\/strong> Availability and delivery speed can change Buy Box Percentage by region.<\/li>\n
          • By time window:<\/strong> Daily vs weekly views can reveal promotion-driven volatility.<\/li>\n
          • Paid-traffic vs overall context:<\/strong> You may measure Buy Box Percentage alongside Paid Marketing<\/strong> performance to see whether Shopping Ads<\/strong> are sending traffic to products you frequently don\u2019t win.<\/li>\n<\/ul>\n\n\n\n

            These distinctions help teams avoid averaging away problems. A \u201chealthy\u201d overall number can hide a handful of high-spend items with low Buy Box Percentage.<\/p>\n\n\n\n

            7) Real-World Examples of Buy Box Percentage<\/h2>\n\n\n\n

            Example 1: Scaling Shopping Ads on a hero SKU<\/h3>\n\n\n\n

            A retailer increases Shopping Ads<\/strong> budgets on its top-selling product. Clicks rise, but ROAS drops. Investigation shows Buy Box Percentage fell from 85% to 40% due to intermittent stock-outs and slower delivery promises during peak demand. Fixing replenishment and tightening delivery estimates restores Buy Box Percentage, and Paid Marketing<\/strong> efficiency returns without changing bids.<\/p>\n\n\n\n

            Example 2: Price competition vs profitability guardrails<\/h3>\n\n\n\n

            A brand competes with multiple resellers. Buy Box Percentage fluctuates daily because resellers undercut price. The brand sets a minimum margin threshold and uses targeted promotions only on high-LTV variants. Buy Box Percentage improves on priority items while avoiding a race to the bottom, resulting in more stable Shopping Ads<\/strong> conversion rates.<\/p>\n\n\n\n

            Example 3: Regional fulfillment strategy<\/h3>\n\n\n\n

            A seller notices Buy Box Percentage is strong nationally but weak in specific regions. Shipping times in those regions are slower due to warehouse coverage. By adding regional inventory placement and improving delivery SLAs, Buy Box Percentage rises in those areas, and Paid Marketing<\/strong> can be expanded with fewer wasted clicks.<\/p>\n\n\n\n

            8) Benefits of Using Buy Box Percentage<\/h2>\n\n\n\n

            When teams actively track and improve Buy Box Percentage<\/strong>, the benefits show up across the funnel:<\/p>\n\n\n\n

              \n
            • Better conversion efficiency:<\/strong> More sessions where the shopper can buy from you immediately.<\/li>\n
            • Lower wasted ad spend:<\/strong> Fewer Shopping Ads<\/strong> clicks landing on pages where another seller is favored.<\/li>\n
            • More predictable scaling:<\/strong> Stable Buy Box Percentage makes budget increases less risky in Paid Marketing<\/strong>.<\/li>\n
            • Improved customer experience:<\/strong> Faster delivery, accurate availability, and strong service reduce friction and returns.<\/li>\n
            • Stronger competitive positioning:<\/strong> You become harder to displace because the advantage is operational, not just bid-based.<\/li>\n<\/ul>\n\n\n\n

              9) Challenges of Buy Box Percentage<\/h2>\n\n\n\n

              Buy Box Percentage is powerful, but it has real limitations and implementation hurdles:<\/p>\n\n\n\n

                \n
              • Limited transparency:<\/strong> Platforms rarely disclose exact weighting of factors, so root-cause analysis requires triangulation.<\/li>\n
              • Rapid volatility:<\/strong> Competitor pricing, inventory changes, and demand spikes can swing Buy Box Percentage quickly.<\/li>\n
              • Operational dependencies:<\/strong> Marketing can\u2019t \u201cfix\u201d fulfillment speed or stock-outs alone, even though Paid Marketing<\/strong> is impacted.<\/li>\n
              • Attribution confusion:<\/strong> A drop in ROAS may be blamed on ads when the real cause is losing the buy box after the click.<\/li>\n
              • Data alignment issues:<\/strong> Product IDs, variant mapping, and feed errors can cause misleading measurement\u2014especially in Shopping Ads<\/strong> where catalog quality matters.<\/li>\n<\/ul>\n\n\n\n

                10) Best Practices for Buy Box Percentage<\/h2>\n\n\n\n

                Use these practical steps to make Buy Box Percentage actionable instead of just observable:<\/p>\n\n\n\n

                Build a monitoring routine<\/h3>\n\n\n\n
                  \n
                • Track Buy Box Percentage<\/strong> weekly for top spend and top revenue items.<\/li>\n
                • Create alerts for sudden drops on high-budget Shopping Ads<\/strong> products.<\/li>\n
                • Segment by region and device when fulfillment or pricing varies.<\/li>\n<\/ul>\n\n\n\n

                  Tie it to decision-making in Paid Marketing<\/h3>\n\n\n\n
                    \n
                  • Reduce spend on items with persistently low Buy Box Percentage until the offer is fixed.<\/li>\n
                  • Prioritize budgets toward items with strong Buy Box Percentage and healthy margins.<\/li>\n
                  • Use product-level labeling to separate \u201cscale-ready\u201d vs \u201cfix-needed\u201d items.<\/li>\n<\/ul>\n\n\n\n

                    Improve the offer, not only the ads<\/h3>\n\n\n\n
                      \n
                    • Maintain high in-stock rates for advertised products.<\/li>\n
                    • Keep delivery promises competitive and realistic.<\/li>\n
                    • Use pricing guardrails: target competitiveness without destroying contribution margin.<\/li>\n
                    • Improve product data quality so the platform can match and evaluate your offer correctly.<\/li>\n<\/ul>\n\n\n\n

                      Coordinate across teams<\/h3>\n\n\n\n
                        \n
                      • Establish shared KPIs between Paid Marketing<\/strong>, merchandising, and operations.<\/li>\n
                      • Run post-mortems on major Buy Box Percentage drops (stock-outs, pricing events, policy issues).<\/li>\n<\/ul>\n\n\n\n

                        11) Tools Used for Buy Box Percentage<\/h2>\n\n\n\n

                        You don\u2019t need a single \u201cBuy Box tool\u201d\u2014you need a stack that connects commerce signals to Paid Marketing<\/strong> execution and Shopping Ads<\/strong> reporting:<\/p>\n\n\n\n

                          \n
                        • Ad platform reporting:<\/strong> To evaluate how Shopping Ads<\/strong> performance changes when Buy Box Percentage shifts.<\/li>\n
                        • Retail or marketplace dashboards:<\/strong> To monitor buy box status, pricing competitiveness, and offer eligibility.<\/li>\n
                        • Product feed management systems:<\/strong> To maintain accurate price, availability, GTIN\/identifiers, and variant data that impact Shopping Ads<\/strong>.<\/li>\n
                        • Pricing and promotion engines:<\/strong> For rule-based adjustments, guardrails, and controlled experiments.<\/li>\n
                        • Inventory and order management systems:<\/strong> To prevent stock-outs and measure fulfillment reliability.<\/li>\n
                        • Analytics and BI dashboards:<\/strong> To blend Buy Box Percentage with ROAS, CVR, margin, and inventory metrics for decision-grade insights.<\/li>\n<\/ul>\n\n\n\n

                          The goal is operational visibility: knowing whether performance issues are caused by bidding\/targeting\u2014or by losing the buy box.<\/p>\n\n\n\n

                          12) Metrics Related to Buy Box Percentage<\/h2>\n\n\n\n

                          Buy Box Percentage is most useful when interpreted alongside metrics that explain why<\/em> it changed and what<\/em> it impacted:<\/p>\n\n\n\n

                            \n
                          • Impression share (Shopping):<\/strong> Helps separate \u201cnot seen\u201d from \u201cseen but not chosen.\u201d<\/li>\n
                          • Click-through rate (CTR):<\/strong> Can decline if the visible offer becomes less competitive.<\/li>\n
                          • Conversion rate (CVR):<\/strong> Often drops when Buy Box Percentage drops, even if traffic stays constant.<\/li>\n
                          • Cost per click (CPC):<\/strong> Can rise during competition spikes; the buy box can determine whether higher CPC is worth it.<\/li>\n
                          • ROAS \/ CPA:<\/strong> Primary Paid Marketing<\/strong> outcomes that Buy Box Percentage strongly influences.<\/li>\n
                          • Out-of-stock rate:<\/strong> One of the fastest ways to lose Buy Box Percentage.<\/li>\n
                          • Price index \/ price competitiveness:<\/strong> A structured view of how your offer compares to the market.<\/li>\n
                          • Shipping speed and on-time delivery rate:<\/strong> Fulfillment reliability signals that affect eligibility and customer choice.<\/li>\n
                          • Return rate and cancellation rate:<\/strong> Quality signals that can indirectly reduce Buy Box Percentage over time.<\/li>\n<\/ul>\n\n\n\n

                            13) Future Trends of Buy Box Percentage<\/h2>\n\n\n\n

                            Several trends are pushing Buy Box Percentage from a niche metric to a core control variable in Paid Marketing<\/strong>:<\/p>\n\n\n\n

                              \n
                            • AI-driven pricing and bidding:<\/strong> More teams will coordinate dynamic pricing with bidding so Shopping Ads<\/strong> spend follows buy-box-competitive inventory.<\/li>\n
                            • Retail media expansion:<\/strong> As more commerce networks sell ad inventory, buy box dynamics will become a standard optimization layer across platforms.<\/li>\n
                            • Automation with guardrails:<\/strong> Rules-based and model-based systems will react faster to competitor moves, but margin and brand controls will be essential.<\/li>\n
                            • Stricter customer experience standards:<\/strong> Faster delivery expectations and service quality thresholds will increasingly affect Buy Box Percentage.<\/li>\n
                            • Measurement pressure and privacy changes:<\/strong> As user-level tracking becomes harder, offer-level metrics like Buy Box Percentage become even more valuable for diagnosing performance shifts without relying on granular identifiers.<\/li>\n<\/ul>\n\n\n\n

                              In short, Buy Box Percentage is evolving into a practical bridge between operations and Paid Marketing<\/strong>\u2014especially for Shopping Ads<\/strong> where purchase intent is immediate.<\/p>\n\n\n\n

                              14) Buy Box Percentage vs Related Terms<\/h2>\n\n\n\n

                              Buy Box Percentage vs Impression Share<\/h3>\n\n\n\n

                              Impression share<\/strong> measures how often your ads were shown out of eligible auctions. Buy Box Percentage<\/strong> measures how often your offer was the primary purchasable option once the shopper is in the product context. You can have high impression share in Shopping Ads<\/strong> but low Buy Box Percentage\u2014meaning you paid to get seen, but not to get chosen.<\/p>\n\n\n\n

                              Buy Box Percentage vs Share of Voice<\/h3>\n\n\n\n

                              Share of voice<\/strong> is a broader visibility concept (coverage across placements, categories, or competitors). Buy Box Percentage is narrower and more transaction-oriented: it\u2019s about being the default offer at the moment of purchase.<\/p>\n\n\n\n

                              Buy Box Percentage vs Price Competitiveness (Price Index)<\/h3>\n\n\n\n

                              A price index<\/strong> indicates whether you\u2019re priced above or below competitors. Buy Box Percentage reflects price plus<\/em> inventory, fulfillment, and seller quality. Price competitiveness is often a driver, but it\u2019s not the whole system.<\/p>\n\n\n\n

                              15) Who Should Learn Buy Box Percentage<\/h2>\n\n\n\n
                                \n
                              • Marketers:<\/strong> To prevent Paid Marketing<\/strong> waste and to scale Shopping Ads<\/strong> based on offer readiness, not just bids.<\/li>\n
                              • Analysts:<\/strong> To diagnose ROAS volatility and separate demand issues from buy-box eligibility problems.<\/li>\n
                              • Agencies:<\/strong> To set accurate expectations and build better audits\u2014many \u201caccount issues\u201d are actually offer issues.<\/li>\n
                              • Business owners:<\/strong> To understand why ad spend doesn\u2019t always translate into sales and what operational levers fix it.<\/li>\n
                              • Developers and data teams:<\/strong> To integrate product, pricing, and inventory data with Paid Marketing<\/strong> reporting and alerting.<\/li>\n<\/ul>\n\n\n\n

                                16) Summary of Buy Box Percentage<\/h2>\n\n\n\n

                                Buy Box Percentage<\/strong> measures how often your offer wins the primary purchasable position for a product. It matters because it determines whether traffic driven by Paid Marketing<\/strong> can convert efficiently. In Shopping Ads<\/strong>, it\u2019s especially important because shoppers are close to purchase and the platform often prioritizes a single offer. Improving Buy Box Percentage requires coordination across pricing, inventory, fulfillment, and product data\u2014not just advertising tactics.<\/p>\n\n\n\n

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

                                1) What is Buy Box Percentage and how is it calculated?<\/h3>\n\n\n\n

                                Buy Box Percentage is the share of eligible product views or opportunities where your offer is selected as the primary offer customers can buy from. The exact calculation varies by platform, but the idea is consistent: wins divided by eligible chances<\/strong> over a time period.<\/p>\n\n\n\n

                                2) Why did my ROAS drop even though my Shopping Ads clicks increased?<\/h3>\n\n\n\n

                                A common cause is a decline in Buy Box Percentage. You may be paying for more traffic, but if another seller\u2019s offer is prioritized after the click, your conversion rate can fall and ROAS declines.<\/p>\n\n\n\n

                                3) What affects Buy Box Percentage the most?<\/h3>\n\n\n\n

                                Typically: price and total cost, in-stock status, delivery speed, fulfillment reliability, and seller quality signals (ratings, returns, cancellations). The strongest lever differs by category and competitive intensity.<\/p>\n\n\n\n

                                4) Should I pause Paid Marketing when Buy Box Percentage is low?<\/h3>\n\n\n\n

                                Often, yes for the affected items\u2014especially in Shopping Ads<\/strong> where purchase intent is high. A better approach is to reallocate budget to products with healthy Buy Box Percentage while you fix pricing, inventory, or fulfillment issues on the others.<\/p>\n\n\n\n

                                5) How can I improve Buy Box Percentage without cutting price?<\/h3>\n\n\n\n

                                Focus on operational levers: improve in-stock rates, shorten delivery times, reduce cancellations, and strengthen customer service metrics. Also ensure product data and availability are accurate so eligibility isn\u2019t lost due to feed or catalog errors.<\/p>\n\n\n\n

                                6) Is Buy Box Percentage only relevant for marketplaces?<\/h3>\n\n\n\n

                                It\u2019s most common on marketplaces and multi-seller commerce environments, but the underlying concept\u2014being the default purchasable offer\u2014also applies wherever multiple offers compete on the same product in a buying interface that Paid Marketing<\/strong> drives traffic into.<\/p>\n\n\n\n

                                7) How often should I review Buy Box Percentage for Shopping Ads?<\/h3>\n\n\n\n

                                For high-spend catalogs, review weekly at minimum, with alerts for sudden drops on top products. During peak seasons or promotions, monitoring more frequently helps prevent avoidable Paid Marketing<\/strong> waste.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                Buy Box Percentage is a deceptively simple metric with outsized impact in **Paid Marketing**, especially when you run **Shopping Ads** for products that compete against other sellers, offers, or retailers on the same item. It tells you how often your offer is the one customers can actually buy from in the primary purchase area\u2014meaning your ads and product visibility can translate into sales instead of \u201calmost\u201d sales.<\/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":[1914],"tags":[],"class_list":["post-11292","post","type-post","status-publish","format-standard","hentry","category-shopping-ads"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/11292","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=11292"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/11292\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=11292"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=11292"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=11292"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}