{"id":6705,"date":"2026-03-23T09:15:04","date_gmt":"2026-03-23T09:15:04","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/placement-multiplier\/"},"modified":"2026-03-23T09:15:04","modified_gmt":"2026-03-23T09:15:04","slug":"placement-multiplier","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/placement-multiplier\/","title":{"rendered":"Placement Multiplier: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Commerce & Retail Media"},"content":{"rendered":"\n

In Commerce & Retail Media<\/strong>, small bidding and budgeting decisions often create outsized performance differences. One of the most practical levers is the Placement Multiplier<\/strong>\u2014a rule (manual or automated) that increases or decreases your base bid, budget weight, or eligibility depending on where<\/em> an ad appears.<\/p>\n\n\n\n

Within Commerce & Retail Media<\/strong>, \u201cwhere\u201d can mean search results vs. a product detail page, top-of-search vs. lower positions, a category listing vs. a brand store, or even an offsite placement powered by retail data. A well-managed Placement Multiplier<\/strong> helps advertisers pay more when visibility and conversion likelihood are high, and pay less (or opt out) when a placement is unlikely to drive profitable outcomes.<\/p>\n\n\n\n

2. What Is Placement Multiplier?<\/h2>\n\n\n\n

A Placement Multiplier<\/strong> is a configurable factor applied to a baseline bid (or other investment control) to adjust spend and competitiveness for a specific ad placement. In simple terms:<\/p>\n\n\n\n

    \n
  • Base bid<\/strong> = your default willingness to pay for a click, impression, or conversion event <\/li>\n
  • Multiplier<\/strong> = a percentage or coefficient that raises or lowers that base bid for a placement <\/li>\n
  • Adjusted bid<\/strong> = base bid \u00d7 multiplier<\/li>\n<\/ul>\n\n\n\n

    The core concept is relative value by placement<\/em>. In Commerce & Retail Media<\/strong>, different placements deliver different intent, visibility, and conversion rates. A Placement Multiplier<\/strong> operationalizes that reality so you can align bidding with expected business value.<\/p>\n\n\n\n

    Business-wise, it\u2019s a way to encode your strategy\u2014profit goals, inventory priorities, and brand objectives\u2014into how you compete in retail media auctions and allocation systems.<\/p>\n\n\n\n

    3. Why Placement Multiplier Matters in Commerce & Retail Media<\/h2>\n\n\n\n

    In Commerce & Retail Media<\/strong>, the same product can perform very differently depending on placement context. A Placement Multiplier<\/strong> matters because it directly influences:<\/p>\n\n\n\n

      \n
    • Profitability:<\/strong> Paying \u201ctop-of-page prices\u201d for low-intent placements can destroy margin; using multipliers helps protect contribution profit.<\/li>\n
    • Growth efficiency:<\/strong> Multipliers can shift spend toward placements that bring higher conversion rates or larger baskets.<\/li>\n
    • Strategic share:<\/strong> In competitive categories, a smarter Placement Multiplier<\/strong> can improve impression share for your hero SKUs without blindly raising bids everywhere.<\/li>\n
    • Learning speed:<\/strong> By intentionally weighting placements, you can test hypotheses faster (e.g., \u201cDo PDP placements assist conversion?\u201d).<\/li>\n
    • Cross-functional alignment:<\/strong> Merchandising, brand, and performance teams can agree on where visibility is worth a premium.<\/li>\n<\/ul>\n\n\n\n

      In short: in Commerce & Retail Media<\/strong>, placements are not equal, and treating them as equal is a common (and expensive) mistake.<\/p>\n\n\n\n

      4. How Placement Multiplier Works<\/h2>\n\n\n\n

      A Placement Multiplier<\/strong> is often implemented as a practical workflow, whether you manage it manually or via automation:<\/p>\n\n\n\n

        \n
      1. \n

        Input \/ trigger<\/strong>\n You start with a base bid or base investment rule, plus placement definitions (e.g., top-of-search, search rest-of-page, PDP, category page, offsite).<\/p>\n<\/li>\n

      2. \n

        Analysis \/ processing<\/strong>\n Performance data is segmented by placement: conversion rate, CPC\/CPM, ROAS, new-to-brand rate, or incremental lift. Many teams also segment by brand vs. non-brand queries, device, and price tier.<\/p>\n<\/li>\n

      3. \n

        Execution \/ application<\/strong>\n You apply a Placement Multiplier<\/strong> per placement (and sometimes per campaign, product group, or keyword set). This changes auction competitiveness and delivery likelihood where the multiplier is higher.<\/p>\n<\/li>\n

      4. \n

        Output \/ outcome<\/strong>\n The platform allocates more spend and impressions to higher-weighted placements (all else equal), shifting your mix of traffic, sales, and efficiency. You then validate whether the change improved the outcome you care about (profit, ROAS, incrementality, share).<\/p>\n<\/li>\n<\/ol>\n\n\n\n

        In Commerce & Retail Media<\/strong>, this loop is ongoing because competitors, seasonality, and retail algorithms continuously change placement economics.<\/p>\n\n\n\n

        5. Key Components of Placement Multiplier<\/h2>\n\n\n\n

        To use Placement Multiplier<\/strong> effectively, focus on these building blocks:<\/p>\n\n\n\n

        Data inputs<\/h3>\n\n\n\n
          \n
        • Placement-level impressions, clicks, spend, sales, and conversion rate<\/li>\n
        • Product margin or contribution profit (when available internally)<\/li>\n
        • Retail signals: availability, price competitiveness, ratings\/reviews, fulfillment speed<\/li>\n
        • Query or audience context: brand vs. generic, category, lifecycle stage<\/li>\n<\/ul>\n\n\n\n

          Decision logic<\/h3>\n\n\n\n
            \n
          • Target outcomes (ROAS, profit, new-to-brand, share of voice)<\/li>\n
          • Guardrails (max CPC, minimum ROAS, budget caps, brand safety rules)<\/li>\n
          • Seasonality rules (events, launches, clearance windows)<\/li>\n<\/ul>\n\n\n\n

            Operational processes<\/h3>\n\n\n\n
              \n
            • A testing cadence (weekly for high-volume, biweekly\/monthly for lower-volume)<\/li>\n
            • Documentation of multiplier rationale (so changes are explainable)<\/li>\n
            • Collaboration between retail media, merchandising, and finance<\/li>\n<\/ul>\n\n\n\n

              Governance and responsibilities<\/h3>\n\n\n\n
                \n
              • Who can change multipliers (analyst, agency, in-house lead)<\/li>\n
              • Approval workflow for big swings (e.g., +50% on premium placements)<\/li>\n
              • Monitoring and rollback rules<\/li>\n<\/ul>\n\n\n\n

                A Placement Multiplier<\/strong> is simple math, but strong outcomes require strong inputs and disciplined governance.<\/p>\n\n\n\n

                6. Types of Placement Multiplier<\/h2>\n\n\n\n

                \u201cTypes\u201d aren\u2019t always standardized across platforms, but in Commerce & Retail Media<\/strong> there are practical distinctions that show up repeatedly:<\/p>\n\n\n\n

                Static vs. dynamic multipliers<\/h3>\n\n\n\n
                  \n
                • Static:<\/strong> Set a multiplier and revisit periodically (good for stable categories).<\/li>\n
                • Dynamic:<\/strong> Adjust based on recent performance, inventory, or competitive pressure (better for volatile auctions).<\/li>\n<\/ul>\n\n\n\n

                  Placement-only vs. placement + context multipliers<\/h3>\n\n\n\n
                    \n
                  • Placement-only:<\/strong> One rule per placement.<\/li>\n
                  • Contextual:<\/strong> Different Placement Multiplier<\/strong> values by placement and<\/em> device, audience, time of day, or query type (more precise, more complex).<\/li>\n<\/ul>\n\n\n\n

                    Defensive vs. aggressive multipliers<\/h3>\n\n\n\n
                      \n
                    • Defensive:<\/strong> Lower multipliers for expensive placements to protect ROAS\/profit.<\/li>\n
                    • Aggressive:<\/strong> Higher multipliers to win premium visibility for launches, hero SKUs, or seasonal peaks.<\/li>\n<\/ul>\n\n\n\n

                      Brand vs. performance multipliers<\/h3>\n\n\n\n

                      Some teams apply different Placement Multiplier<\/strong> strategies depending on whether the goal is reach\/visibility (brand) or efficient sales (performance).<\/p>\n\n\n\n

                      7. Real-World Examples of Placement Multiplier<\/h2>\n\n\n\n

                      Example 1: Sponsored search\u2014pay more for top-of-search on high-intent terms<\/h3>\n\n\n\n

                      A household essentials brand finds that \u201cgeneric + size\u201d queries convert strongly at top-of-search, while lower positions drive clicks but weak conversion.<\/p>\n\n\n\n

                        \n
                      • Base bid: $1.20 <\/li>\n
                      • Top-of-search Placement Multiplier<\/strong>: 1.35 <\/li>\n
                      • Rest-of-search multiplier: 0.90 <\/li>\n<\/ul>\n\n\n\n

                        Result: more impressions where intent is highest, fewer wasted clicks lower on the page, and improved profit-per-click. This is a classic Commerce & Retail Media<\/strong> use case because search placement and intent are tightly linked.<\/p>\n\n\n\n

                        Example 2: Product detail page (PDP) placements\u2014optimize for assistive conversion<\/h3>\n\n\n\n

                        A consumer electronics advertiser sees PDP placements have lower last-click ROAS but meaningfully increase add-to-cart rate for accessories.<\/p>\n\n\n\n

                        They apply a moderate Placement Multiplier<\/strong> (e.g., 1.10) for PDP placements only on accessory bundles, then evaluate assisted conversion and basket size.<\/p>\n\n\n\n

                        Result: slightly higher CPCs, but improved average order value and attach rate\u2014often a better \u201cretail outcome\u201d than last-click ROAS alone in Commerce & Retail Media<\/strong>.<\/p>\n\n\n\n

                        Example 3: Seasonal surge\u2014temporary multipliers with inventory guardrails<\/h3>\n\n\n\n

                        A snack brand plans a holiday push. Premium placements become more expensive, but demand is also higher.<\/p>\n\n\n\n

                          \n
                        • Increase Placement Multiplier<\/strong> on high-visibility placements for top SKUs <\/li>\n
                        • Add guardrails: pause or reduce multipliers if in-stock rate drops or delivery times slip <\/li>\n<\/ul>\n\n\n\n

                          Result: captures seasonal demand without paying for traffic that cannot convert due to availability\u2014an essential operational reality in Commerce & Retail Media<\/strong>.<\/p>\n\n\n\n

                          8. Benefits of Using Placement Multiplier<\/h2>\n\n\n\n

                          A well-tuned Placement Multiplier<\/strong> can deliver benefits that go beyond \u201chigher bids\u201d:<\/p>\n\n\n\n

                            \n
                          • Better ROAS and profit alignment:<\/strong> Spend more where conversion likelihood and margin support it.<\/li>\n
                          • Improved efficiency:<\/strong> Reduce wasted spend on placements that attract curiosity clicks but low purchase intent.<\/li>\n
                          • Faster optimization:<\/strong> Clear placement-level hypotheses are easier to test than broad campaign changes.<\/li>\n
                          • Stronger customer experience:<\/strong> Prioritize placements that help shoppers compare, confirm, and purchase (especially on PDP and category contexts).<\/li>\n
                          • More strategic control:<\/strong> You can intentionally balance awareness placements and conversion placements rather than letting the platform decide by default.<\/li>\n<\/ul>\n\n\n\n

                            9. Challenges of Placement Multiplier<\/h2>\n\n\n\n

                            Despite its simplicity, Placement Multiplier<\/strong> introduces real-world complications:<\/p>\n\n\n\n

                              \n
                            • Attribution limitations:<\/strong> Some placements assist conversion but don\u2019t get credit in last-click reporting, making multipliers look \u201cworse\u201d than they are.<\/li>\n
                            • Data sparsity:<\/strong> Smaller brands or niche categories may not have enough placement-level volume to set confident multipliers.<\/li>\n
                            • Auction volatility:<\/strong> Competitor behavior can change CPCs quickly; a multiplier that worked last month may overpay this month.<\/li>\n
                            • Overfitting:<\/strong> Micro-optimizing multipliers to recent data can hurt performance when conditions revert.<\/li>\n
                            • Organizational friction:<\/strong> Finance wants efficiency, brand wants visibility, and retail teams want velocity\u2014multipliers become a negotiation tool.<\/li>\n<\/ul>\n\n\n\n

                              In Commerce & Retail Media<\/strong>, the best teams treat multipliers as controlled experiments, not permanent truths.<\/p>\n\n\n\n

                              10. Best Practices for Placement Multiplier<\/h2>\n\n\n\n

                              Use these practical guidelines to make Placement Multiplier<\/strong> decisions more reliable:<\/p>\n\n\n\n

                                \n
                              1. \n

                                Start with placement segmentation before changing anything<\/strong>\n Build a baseline report by placement (and by product tier) to see where performance truly differs.<\/p>\n<\/li>\n

                              2. \n

                                Anchor to one primary objective per campaign<\/strong>\n Don\u2019t optimize one campaign simultaneously for maximum ROAS, maximum share, and maximum new-to-brand; pick a priority and set multipliers accordingly.<\/p>\n<\/li>\n

                              3. \n

                                Use incremental changes and clear holdouts<\/strong>\n Move multipliers in steps (e.g., \u00b110\u201320%) and compare against a stable control group or time window.<\/p>\n<\/li>\n

                              4. \n

                                Add operational guardrails<\/strong>\n Reduce multipliers when:\n – items go out of stock\n – price parity worsens\n – ratings drop\n – fulfillment becomes slower <\/p>\n<\/li>\n

                              5. \n

                                Refresh multipliers on a schedule, not on emotion<\/strong>\n High-volume accounts: weekly checks. Lower-volume: biweekly or monthly. Document every change and its rationale.<\/p>\n<\/li>\n

                              6. \n

                                Measure beyond last-click where possible<\/strong>\n Include basket size, new-to-brand, repeat rate (when available), and assisted metrics to avoid undervaluing certain placements.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                                11. Tools Used for Placement Multiplier<\/h2>\n\n\n\n

                                You don\u2019t need a specific vendor to run a Placement Multiplier<\/strong> strategy, but you do need a workflow stack. Common tool categories in Commerce & Retail Media<\/strong> include:<\/p>\n\n\n\n

                                  \n
                                • Retail media ad platforms:<\/strong> Where multipliers are configured and applied, and where placement reporting is exported.<\/li>\n
                                • Analytics tools:<\/strong> For segmentation, cohorting, and statistical checks (e.g., pre\/post comparisons).<\/li>\n
                                • Automation and rules engines:<\/strong> To schedule changes, enforce guardrails, and react to inventory or pricing signals.<\/li>\n
                                • Retail operations data sources:<\/strong> Inventory, pricing, promotions, and fulfillment performance (often from internal systems).<\/li>\n
                                • Reporting dashboards:<\/strong> Centralize placement performance, annotate changes, and share insights with stakeholders.<\/li>\n
                                • SEO tools (supporting role):<\/strong> Useful when aligning retail media keyword targets with organic retail search demand and product page optimization.<\/li>\n<\/ul>\n\n\n\n

                                  The key is integration: Placement Multiplier<\/strong> decisions improve when ad data and retail readiness signals live in the same analysis view.<\/p>\n\n\n\n

                                  12. Metrics Related to Placement Multiplier<\/h2>\n\n\n\n

                                  Track metrics at the placement level, not only at the campaign total. Useful indicators include:<\/p>\n\n\n\n

                                  Performance and efficiency<\/h3>\n\n\n\n
                                    \n
                                  • CPC \/ CPM<\/li>\n
                                  • Click-through rate (CTR)<\/li>\n
                                  • Conversion rate (CVR)<\/li>\n
                                  • ROAS or revenue per click<\/li>\n
                                  • Cost per acquisition (CPA)<\/li>\n<\/ul>\n\n\n\n

                                    Retail outcomes<\/h3>\n\n\n\n
                                      \n
                                    • Units sold and sales velocity<\/li>\n
                                    • Average order value \/ basket size<\/li>\n
                                    • New-to-brand (when available)<\/li>\n
                                    • Share of voice \/ impression share (when available)<\/li>\n<\/ul>\n\n\n\n

                                      Quality and readiness<\/h3>\n\n\n\n
                                        \n
                                      • In-stock rate<\/li>\n
                                      • Price competitiveness index (internal)<\/li>\n
                                      • Ratings and review volume changes<\/li>\n
                                      • Delivery promise \/ fulfillment speed<\/li>\n<\/ul>\n\n\n\n

                                        A Placement Multiplier<\/strong> should be justified by a measurable improvement in at least one priority metric without unacceptable tradeoffs elsewhere.<\/p>\n\n\n\n

                                        13. Future Trends of Placement Multiplier<\/h2>\n\n\n\n

                                        Several trends are shaping how Placement Multiplier<\/strong> evolves inside Commerce & Retail Media<\/strong>:<\/p>\n\n\n\n

                                          \n
                                        • AI-driven bidding and budgeting:<\/strong> More platforms will recommend or auto-apply multipliers based on predicted conversion probability, not just historical averages.<\/li>\n
                                        • Deeper personalization:<\/strong> Multipliers may vary by shopper segment (loyal vs. new, high-LTV vs. deal-seeker) as retail identity graphs mature.<\/li>\n
                                        • Incrementality and experimentation rigor:<\/strong> Expect stronger built-in testing frameworks, making it easier to validate whether a placement premium is truly incremental.<\/li>\n
                                        • Privacy-aware measurement:<\/strong> As tracking constraints persist, aggregate reporting and modeled outcomes will become more common, which may require more conservative multiplier changes.<\/li>\n
                                        • Convergence of onsite and offsite retail media:<\/strong> Placement decisions will span retailer-owned environments and retail-powered offsite inventory, increasing the need for consistent multiplier logic and unified reporting.<\/li>\n<\/ul>\n\n\n\n

                                          In Commerce & Retail Media<\/strong>, the core idea remains: pay differently based on placement value\u2014but the prediction and automation behind it will become more sophisticated.<\/p>\n\n\n\n

                                          14. Placement Multiplier vs Related Terms<\/h2>\n\n\n\n

                                          Placement Multiplier vs Bid Modifier<\/h3>\n\n\n\n

                                          A bid modifier is a broad concept used to adjust bids based on conditions (device, location, audience). A Placement Multiplier<\/strong> is specifically about where the ad appears<\/em> within the retail environment (or retail-powered inventory). All placement multipliers are bid modifiers, but not all bid modifiers are placement-based.<\/p>\n\n\n\n

                                          Placement Multiplier vs Base Bid<\/h3>\n\n\n\n

                                          The base bid is the starting point. The Placement Multiplier<\/strong> is the adjustment layer that changes competitiveness by placement. Strong strategies tune both: base bids for product\/query value, multipliers for placement value.<\/p>\n\n\n\n

                                          Placement Multiplier vs Budget Allocation<\/h3>\n\n\n\n

                                          Budget allocation decides how much total spend goes to a campaign or tactic. A Placement Multiplier<\/strong> influences how that spend is distributed across placements<\/em> through auction dynamics and delivery priority. You often need both: budgets to set boundaries, multipliers to shape where you win.<\/p>\n\n\n\n

                                          15. Who Should Learn Placement Multiplier<\/h2>\n\n\n\n
                                            \n
                                          • Marketers:<\/strong> To translate goals (profit, growth, share) into controllable levers inside retail ad systems.<\/li>\n
                                          • Analysts:<\/strong> To build placement-level reporting, quantify tradeoffs, and avoid misleading averages.<\/li>\n
                                          • Agencies:<\/strong> To standardize optimization playbooks across clients while adapting to category differences.<\/li>\n
                                          • Business owners and founders:<\/strong> To understand why retail ad costs rise and how to buy visibility more efficiently.<\/li>\n
                                          • Developers and data teams:<\/strong> To integrate inventory, pricing, and ad data so Placement Multiplier<\/strong> rules can be automated safely.<\/li>\n<\/ul>\n\n\n\n

                                            Because Commerce & Retail Media<\/strong> is increasingly auction-driven and data-rich, placement-level optimization is a foundational skill.<\/p>\n\n\n\n

                                            16. Summary of Placement Multiplier<\/h2>\n\n\n\n

                                            Placement Multiplier<\/strong> is a practical mechanism for adjusting bidding or investment intensity based on ad placement value. It matters because different placements in Commerce & Retail Media<\/strong> produce different intent, conversion rates, and profitability. By applying and iterating on multipliers using placement-level data and retail readiness signals, teams can improve efficiency, protect margin, and win premium visibility when it\u2019s genuinely worth paying for. Used thoughtfully, Placement Multiplier<\/strong> becomes a repeatable way to align performance marketing with real retail outcomes in Commerce & Retail Media<\/strong>.<\/p>\n\n\n\n

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

                                            1) What is a Placement Multiplier in simple terms?<\/h3>\n\n\n\n

                                            A Placement Multiplier<\/strong> is a factor that increases or decreases your base bid (or spend priority) depending on where an ad shows up, so you pay more for high-value placements and less for low-value ones.<\/p>\n\n\n\n

                                            2) How do I choose the right Placement Multiplier values?<\/h3>\n\n\n\n

                                            Start with historical placement-level performance (CPC, CVR, ROAS), apply small changes (\u00b110\u201320%), and validate results with a defined test window. Add guardrails for stock, price, and fulfillment.<\/p>\n\n\n\n

                                            3) Does a higher Placement Multiplier always mean better performance?<\/h3>\n\n\n\n

                                            No. A higher Placement Multiplier<\/strong> can buy more visibility, but it may reduce profitability if the placement is expensive or if conversion doesn\u2019t improve enough to offset higher CPCs.<\/p>\n\n\n\n

                                            4) Which placements typically deserve higher multipliers?<\/h3>\n\n\n\n

                                            Often, high-intent placements (like prominent search positions) justify higher multipliers\u2014especially for hero SKUs with strong conversion and margin. The \u201cright\u201d answer depends on category, competition, and product readiness.<\/p>\n\n\n\n

                                            5) What metrics should I monitor after changing multipliers?<\/h3>\n\n\n\n

                                            Watch placement-level CPC, CTR, conversion rate, ROAS\/CPA, and sales volume. Also monitor operational signals like in-stock rate and price competitiveness to ensure traffic can convert.<\/p>\n\n\n\n

                                            6) How does Commerce & Retail Media change the way multipliers should be managed?<\/h3>\n\n\n\n

                                            In Commerce & Retail Media<\/strong>, conversion is tightly tied to retail factors like availability, price, reviews, and delivery speed. Multipliers should be adjusted alongside those retail signals, not based on ad metrics alone.<\/p>\n\n\n\n

                                            7) Can I automate Placement Multiplier optimization?<\/h3>\n\n\n\n

                                            Yes. Many teams automate rules using recent performance and retail readiness data. Automation works best with clear objectives, conservative change limits, and an easy rollback process when conditions shift.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                            In **Commerce & Retail Media**, small bidding and budgeting decisions often create outsized performance differences. One of the most practical levers is the **Placement Multiplier**\u2014a rule (manual or automated) that increases or decreases your base bid, budget weight, or eligibility depending on *where* an ad appears.<\/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-6705","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\/6705","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=6705"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/6705\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=6705"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=6705"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=6705"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}