{"id":11402,"date":"2026-04-01T20:52:13","date_gmt":"2026-04-01T20:52:13","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/shopping-ads-template\/"},"modified":"2026-04-01T20:52:13","modified_gmt":"2026-04-01T20:52:13","slug":"shopping-ads-template","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/shopping-ads-template\/","title":{"rendered":"Shopping Ads Template: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Shopping Ads"},"content":{"rendered":"\n

A Shopping Ads Template<\/strong> is a repeatable blueprint for creating, structuring, and optimizing Shopping Ads<\/strong> campaigns in Paid Marketing<\/strong>. Instead of rebuilding product ad setups from scratch each time\u2014naming conventions, feed rules, bidding strategy, promo messaging, tracking, and reporting\u2014a template standardizes the decisions that matter and turns them into an operational playbook.<\/p>\n\n\n\n

In modern Paid Marketing<\/strong>, speed and consistency are competitive advantages. Teams that can launch new categories, seasonal promotions, and international storefronts quickly\u2014without breaking tracking or degrading product data quality\u2014tend to win more impressions and conversions. A well-designed Shopping Ads Template<\/strong> helps you move fast while staying accurate, compliant, and measurable.<\/p>\n\n\n\n

What Is Shopping Ads Template?<\/h2>\n\n\n\n

A Shopping Ads Template<\/strong> is a documented and reusable framework that defines how you build and manage Shopping Ads<\/strong> campaigns: how products are grouped, how budgets and bids are assigned, how assets and titles are generated, what exclusions or safeguards apply, and how performance is monitored.<\/p>\n\n\n\n

At its core, the concept is \u201cstructured repeatability.\u201d A template reduces guesswork and ensures that when you run Shopping Ads<\/strong> as part of your Paid Marketing<\/strong> mix, campaigns are consistent across categories, regions, or brands\u2014even when multiple people or agencies touch the account.<\/p>\n\n\n\n

From a business perspective, a Shopping Ads Template<\/strong> is an operational control system. It makes outcomes more predictable by enforcing standards around product data, targeting, attribution, and governance. It also makes experimentation safer because you can test changes against a known baseline.<\/p>\n\n\n\n

Where it fits in Paid Marketing<\/strong>: it sits between strategy (your goals, positioning, and budget allocation) and execution (your feeds, campaign builds, and optimization cadence). Within Shopping Ads<\/strong>, the template is the \u201chow we do it here\u201d layer that turns product inventory into scalable advertising.<\/p>\n\n\n\n

Why Shopping Ads Template Matters in Paid Marketing<\/h2>\n\n\n\n

A strong Shopping Ads Template<\/strong> matters because Shopping Ads<\/strong> are data-driven by nature. Your product feed, category structure, and pricing\/promo signals influence which queries you show for and how compelling your offer appears. Small setup inconsistencies can create big performance swings.<\/p>\n\n\n\n

Key reasons it\u2019s strategically important in Paid Marketing<\/strong>:<\/p>\n\n\n\n

    \n
  • Faster launches and iteration:<\/strong> Templates reduce time-to-market for new products, new categories, or new countries. <\/li>\n
  • Better control of profitability:<\/strong> Standardized bid and budget rules make it easier to protect margin and manage ROAS targets. <\/li>\n
  • More consistent measurement:<\/strong> Templates typically include tracking requirements and reporting definitions, reducing attribution disputes. <\/li>\n
  • Competitive advantage through hygiene:<\/strong> Many advertisers lose auctions due to poor feed quality or messy structure. A template hardens fundamentals, so optimizations compound over time. <\/li>\n<\/ul>\n\n\n\n

    In practice, teams using a Shopping Ads Template<\/strong> tend to spend less time \u201cfixing basics\u201d and more time improving creative merchandising, offer strategy, and segmentation\u2014areas that often produce outsized gains in Shopping Ads<\/strong> performance.<\/p>\n\n\n\n

    How Shopping Ads Template Works<\/h2>\n\n\n\n

    A Shopping Ads Template<\/strong> is less a single file and more a workflow that guides how work gets done. One useful way to understand how it works in Paid Marketing<\/strong> is through a four-step lifecycle:<\/p>\n\n\n\n

      \n
    1. \n

      Input (what you start with)<\/strong>\n – Product catalog and feed attributes (title, price, availability, brand, category, GTIN\/MPN, variants)\n – Business goals (profit, revenue, new customer acquisition, inventory clearance)\n – Constraints (budget limits, shipping regions, compliance policies, promo windows)<\/p>\n<\/li>\n

    2. \n

      Processing (how the template translates strategy into rules)<\/strong>\n – Product grouping logic (by category, margin tier, price band, seasonality, best-sellers)\n – Naming conventions and account structure standards\n – Eligibility and exclusion rules (out-of-stock, low-margin, poor ratings, restricted products)\n – Tracking and reporting definitions (conversion events, attribution windows, channel taxonomy)<\/p>\n<\/li>\n

    3. \n

      Execution (how it\u2019s applied in Shopping Ads)<\/strong>\n – Build or update campaigns and product groups according to the template\n – Apply bids\/budgets and automation guardrails\n – Generate consistent promo messaging and annotations via feed attributes where supported\n – Validate tracking, destinations, and policy compliance<\/p>\n<\/li>\n

    4. \n

      Output (what you get)<\/strong>\n – A predictable campaign architecture\n – Comparable performance reporting across segments\n – Faster optimization cycles and safer scaling within Paid Marketing<\/strong>\n – Clear accountability across teams (who updates feed rules, who changes bids, who owns reporting)<\/p>\n<\/li>\n<\/ol>\n\n\n\n

      This is why a Shopping Ads Template<\/strong> is valuable: it transforms complex, cross-functional work into a repeatable system.<\/p>\n\n\n\n

      Key Components of Shopping Ads Template<\/h2>\n\n\n\n

      A practical Shopping Ads Template<\/strong> typically includes these components, each mapped to the reality of running Shopping Ads<\/strong> in Paid Marketing<\/strong>:<\/p>\n\n\n\n

      Campaign and structure standards<\/h3>\n\n\n\n
        \n
      • Account\/campaign\/ad group naming conventions <\/li>\n
      • Product grouping model (e.g., category \u2192 brand \u2192 margin tier) <\/li>\n
      • Segmentation rules (new vs returning customers, geo, device, inventory status where applicable)<\/li>\n<\/ul>\n\n\n\n

        Feed and data requirements<\/h3>\n\n\n\n
          \n
        • Required attributes and preferred formatting rules (titles, descriptions, images) <\/li>\n
        • Custom labels or equivalent categorization fields (e.g., margin bucket, season, bestseller flag) <\/li>\n
        • Product data QA checklist (broken links, mismatched price\/availability, variant handling)<\/li>\n<\/ul>\n\n\n\n

          Bidding and budget rules<\/h3>\n\n\n\n
            \n
          • Default bid\/budget approach for each segment <\/li>\n
          • Guardrails for automated bidding (minimum conversion volume thresholds, CPA\/ROAS boundaries) <\/li>\n
          • Allocation strategy (e.g., protect top sellers, test long tail, prioritize high-margin)<\/li>\n<\/ul>\n\n\n\n

            Measurement and governance<\/h3>\n\n\n\n
              \n
            • Tracking configuration requirements and validation steps <\/li>\n
            • Reporting views and definitions (ROAS, contribution margin, incrementality assumptions) <\/li>\n
            • Change management: who can edit structure, who approves large budget shifts, rollback steps<\/li>\n<\/ul>\n\n\n\n

              Optimization cadence<\/h3>\n\n\n\n
                \n
              • Daily\/weekly checks (disapprovals, spend pacing, top search terms or placements) <\/li>\n
              • Monthly reviews (feed improvements, segmentation changes, experiment outcomes) <\/li>\n
              • Seasonal playbooks (Black Friday, holiday shipping cutoffs, clearance cycles)<\/li>\n<\/ul>\n\n\n\n

                Types of Shopping Ads Template<\/h2>\n\n\n\n

                There aren\u2019t universally \u201cofficial\u201d types, but in real Paid Marketing<\/strong> operations, Shopping Ads Template<\/strong> approaches tend to fall into a few practical contexts:<\/p>\n\n\n\n

                1) Account build template (foundational)<\/h3>\n\n\n\n

                Used when launching a new account or rebuilding structure. It focuses on naming, segmentation, feed readiness, tracking, and baseline bidding.<\/p>\n\n\n\n

                2) Product segmentation template (merchandising-led)<\/h3>\n\n\n\n

                Optimized around how you want to merchandise: best-sellers vs long tail, margin tiers, price bands, seasonal collections, or brand priority.<\/p>\n\n\n\n

                3) Testing and experimentation template (optimization-led)<\/h3>\n\n\n\n

                Defines how you run controlled tests: what stays constant, what changes, how long tests run, and what success metrics apply for Shopping Ads<\/strong>.<\/p>\n\n\n\n

                4) Expansion template (scale-led)<\/h3>\n\n\n\n

                Designed for adding regions, languages, new categories, or additional storefronts\u2014common in larger Paid Marketing<\/strong> programs.<\/p>\n\n\n\n

                Real-World Examples of Shopping Ads Template<\/h2>\n\n\n\n

                Example 1: Retailer scaling seasonal collections<\/h3>\n\n\n\n

                A fashion retailer uses a Shopping Ads Template<\/strong> to launch seasonal campaigns quickly. The template defines:\n– Custom labels for season (spring\/summer), margin tier, and stock depth\n– A default budget split: 60% best-sellers, 30% mid-tier, 10% experimental long tail\n– A promo checklist ensuring sale price, landing pages, and shipping messages align\nResult: faster launches and fewer policy or feed-related disruptions, improving Shopping Ads<\/strong> stability during peak periods in Paid Marketing<\/strong>.<\/p>\n\n\n\n

                Example 2: Electronics brand protecting profitability<\/h3>\n\n\n\n

                A consumer electronics advertiser creates a Shopping Ads Template<\/strong> centered on margin and warranty attach rate:\n– High-margin accessories grouped separately with more aggressive bids\n– Low-margin hero products capped with tighter ROAS guardrails\n– Exclusion rules for refurbished items in certain regions\nResult: better control of blended ROAS and fewer \u201cbudget leaks\u201d into low-profit SKUs\u2014especially important when competition spikes in Paid Marketing<\/strong> auctions.<\/p>\n\n\n\n

                Example 3: Multi-location business standardizing reporting<\/h3>\n\n\n\n

                A chain with multiple storefronts uses a Shopping Ads Template<\/strong> to unify measurement:\n– Consistent campaign naming with location codes\n– A reporting dashboard mapping spend and revenue by region and category\n– A governance workflow: local managers request promos, central team updates feed rules\nResult: leadership can compare performance apples-to-apples across locations, making Shopping Ads<\/strong> budget decisions more defensible.<\/p>\n\n\n\n

                Benefits of Using Shopping Ads Template<\/h2>\n\n\n\n

                A well-maintained Shopping Ads Template<\/strong> can improve both performance and operations:<\/p>\n\n\n\n

                  \n
                • Efficiency gains:<\/strong> Less time building campaigns, fixing naming issues, or debugging tracking. <\/li>\n
                • Higher quality campaigns:<\/strong> Consistent structure improves learnings and reduces \u201crandom\u201d performance changes. <\/li>\n
                • Lower error rates:<\/strong> Feed requirements and QA steps reduce disapprovals, broken landing pages, and mismatched pricing. <\/li>\n
                • Faster optimization:<\/strong> Standard segments make it easier to identify what\u2019s working and shift budget quickly in Paid Marketing<\/strong>. <\/li>\n
                • Better customer experience:<\/strong> Cleaner product data means more accurate titles, prices, and availability in Shopping Ads<\/strong>, reducing wasted clicks and frustration.<\/li>\n<\/ul>\n\n\n\n

                  Challenges of Shopping Ads Template<\/h2>\n\n\n\n

                  Templates are powerful, but they can create new risks if treated as \u201cset and forget\u201d:<\/p>\n\n\n\n

                    \n
                  • Over-standardization:<\/strong> If the template is too rigid, it may ignore category differences (e.g., apparel variants vs electronics specs). <\/li>\n
                  • Data dependency:<\/strong> Shopping Ads<\/strong> performance is highly sensitive to feed quality; a template can\u2019t compensate for missing or inconsistent attributes. <\/li>\n
                  • Attribution limitations:<\/strong> Revenue from Paid Marketing<\/strong> can be misread if tracking is incomplete or cross-device behavior is significant. <\/li>\n
                  • Organizational friction:<\/strong> If roles aren\u2019t clear, teams may conflict over who owns feed updates vs campaign optimization. <\/li>\n
                  • Template drift:<\/strong> Over time, undocumented \u201cone-off\u201d changes accumulate, and the Shopping Ads Template<\/strong> no longer reflects reality.<\/li>\n<\/ul>\n\n\n\n

                    Best Practices for Shopping Ads Template<\/h2>\n\n\n\n

                    Design the template around decisions, not just setup<\/h3>\n\n\n\n

                    Document why certain segmentation or bidding rules exist. This makes it easier to adjust when goals change (growth vs profitability).<\/p>\n\n\n\n

                    Start simple, then add complexity intentionally<\/h3>\n\n\n\n

                    A template that can be executed correctly beats a perfect template no one follows. Build a baseline structure that supports most products, then layer in exceptions.<\/p>\n\n\n\n

                    Build feed QA into the workflow<\/h3>\n\n\n\n

                    Include checks for:\n– Price\/availability mismatches\n– Variant duplication issues\n– Missing brand\/identifier fields\n– Image quality and policy compliance <\/p>\n\n\n\n

                    Feed hygiene is foundational to Shopping Ads<\/strong> success in Paid Marketing<\/strong>.<\/p>\n\n\n\n

                    Define guardrails for automation<\/h3>\n\n\n\n

                    If you use automated bidding, specify:\n– When automation is allowed (conversion volume thresholds)\n– What constraints exist (max CPC caps, ROAS floors, budget pacing rules)\n– What triggers manual review (sudden CPA spikes, stockouts, promo changes)<\/p>\n\n\n\n

                    Standardize reporting and decision cadence<\/h3>\n\n\n\n

                    Include a weekly review that covers:\n– Spend pacing vs plan\n– Top product groups and losers\n– Disapproval trends and feed errors\n– Incremental improvements to titles, attributes, and promos<\/p>\n\n\n\n

                    Version control and documentation<\/h3>\n\n\n\n

                    Treat the Shopping Ads Template<\/strong> like a living playbook:\n– Track revisions (what changed and why)\n– Keep a changelog for major account structure updates\n– Maintain a rollback plan for structural changes that hurt performance<\/p>\n\n\n\n

                    Tools Used for Shopping Ads Template<\/h2>\n\n\n\n

                    A Shopping Ads Template<\/strong> is operationalized through tool ecosystems common to Paid Marketing<\/strong> teams:<\/p>\n\n\n\n

                      \n
                    • Ad platforms:<\/strong> Where Shopping Ads<\/strong> campaigns are built, budgets are set, and performance is monitored. <\/li>\n
                    • Feed management systems:<\/strong> Tools or internal scripts that transform product catalog data into optimized feed attributes, rules, and custom labels. <\/li>\n
                    • Analytics tools:<\/strong> Used to validate conversion tracking, analyze funnel behavior, and measure performance beyond last-click. <\/li>\n
                    • Tag management and tracking systems:<\/strong> Help ensure consistent event tracking and reduce deployment friction. <\/li>\n
                    • CRM and order management systems:<\/strong> Useful for tying ad performance to customer quality, repeat purchases, refunds, or lifetime value. <\/li>\n
                    • Reporting dashboards and BI:<\/strong> Standardize weekly\/monthly reporting views so different stakeholders can interpret results consistently. <\/li>\n
                    • SEO tools (supporting role):<\/strong> Not for running Shopping Ads<\/strong>, but helpful for keyword and category insights that influence product title strategy and merchandising decisions.<\/li>\n<\/ul>\n\n\n\n

                      Metrics Related to Shopping Ads Template<\/h2>\n\n\n\n

                      Because a Shopping Ads Template<\/strong> affects both performance and operations, track metrics in three buckets:<\/p>\n\n\n\n

                      Performance metrics (core Shopping Ads KPIs)<\/h3>\n\n\n\n
                        \n
                      • Impressions, clicks, click-through rate (CTR) <\/li>\n
                      • Cost per click (CPC) <\/li>\n
                      • Conversion rate (CVR) <\/li>\n
                      • Cost per acquisition (CPA) <\/li>\n
                      • Return on ad spend (ROAS) and revenue<\/li>\n<\/ul>\n\n\n\n

                        Efficiency and quality metrics<\/h3>\n\n\n\n
                          \n
                        • Feed error rate and disapproval rate <\/li>\n
                        • Percentage of spend on out-of-stock products (should be near zero) <\/li>\n
                        • Share of spend by margin tier or priority segments <\/li>\n
                        • Time-to-launch for new categories or promos (operational speed)<\/li>\n<\/ul>\n\n\n\n

                          Business outcome metrics (Paid Marketing impact)<\/h3>\n\n\n\n
                            \n
                          • Contribution margin or profit-based ROAS (when available) <\/li>\n
                          • New customer rate (if measurable) <\/li>\n
                          • Average order value (AOV) and basket mix <\/li>\n
                          • Refund\/return rate by product group (important in categories like apparel)<\/li>\n<\/ul>\n\n\n\n

                            Future Trends of Shopping Ads Template<\/h2>\n\n\n\n

                            The Shopping Ads Template<\/strong> is evolving as Paid Marketing<\/strong> becomes more automated and more constrained by privacy:<\/p>\n\n\n\n

                              \n
                            • AI-assisted feed optimization:<\/strong> More teams will use automated rules to improve titles, attribute completeness, and categorization\u2014while maintaining brand-safe constraints. <\/li>\n
                            • Greater personalization via segmentation signals:<\/strong> Templates will increasingly include customer-value tiers, inventory depth, and lifecycle signals where privacy-compliant. <\/li>\n
                            • Stronger governance and auditing:<\/strong> As automation increases, advertisers will need templates that specify \u201chuman-in-the-loop\u201d checkpoints and anomaly detection. <\/li>\n
                            • Measurement shifts:<\/strong> With tracking limitations and modeled conversions, templates will put more emphasis on blended metrics, holdout tests, and triangulation across analytics sources. <\/li>\n
                            • Creative merchandising in feeds:<\/strong> Expect templates to formalize promo annotations, shipping value props, and product bundle logic to improve Shopping Ads<\/strong> click quality.<\/li>\n<\/ul>\n\n\n\n

                              Shopping Ads Template vs Related Terms<\/h2>\n\n\n\n

                              Shopping Ads Template vs product feed optimization<\/h3>\n\n\n\n
                                \n
                              • Shopping Ads Template<\/strong> is the broader operational blueprint (structure, bidding, measurement, governance). <\/li>\n
                              • Product feed optimization<\/strong> is a subset focused on improving product data attributes and quality.\nIn Paid Marketing<\/strong>, you typically need both: the template dictates how<\/em> feed optimization work gets prioritized and applied.<\/li>\n<\/ul>\n\n\n\n

                                Shopping Ads Template vs campaign structure<\/h3>\n\n\n\n
                                  \n
                                • Campaign structure<\/strong> is the arrangement of campaigns\/ad groups\/product groups. <\/li>\n
                                • A Shopping Ads Template<\/strong> includes structure, but also naming standards, QA, reporting, and repeatable workflows.<\/li>\n<\/ul>\n\n\n\n

                                  Shopping Ads Template vs standard operating procedure (SOP)<\/h3>\n\n\n\n
                                    \n
                                  • An SOP documents steps. <\/li>\n
                                  • A Shopping Ads Template<\/strong> is often an SOP plus reusable configurations (rules, naming patterns, segment definitions) tailored to Shopping Ads<\/strong> execution.<\/li>\n<\/ul>\n\n\n\n

                                    Who Should Learn Shopping Ads Template<\/h2>\n\n\n\n
                                      \n
                                    • Marketers:<\/strong> To scale Shopping Ads<\/strong> without losing control of costs, targeting logic, and reporting consistency in Paid Marketing<\/strong>. <\/li>\n
                                    • Analysts:<\/strong> To ensure segmentation and measurement are stable enough to produce trustworthy insights and experiments. <\/li>\n
                                    • Agencies:<\/strong> To onboard clients faster, reduce errors, and deliver consistent outcomes across accounts and verticals. <\/li>\n
                                    • Business owners and founders:<\/strong> To understand what \u201cgood\u201d looks like, evaluate partners, and avoid wasted spend caused by poor fundamentals. <\/li>\n
                                    • Developers and technical teams:<\/strong> To support feed automation, tracking reliability, and data pipelines that make the template executable.<\/li>\n<\/ul>\n\n\n\n

                                      Summary of Shopping Ads Template<\/h2>\n\n\n\n

                                      A Shopping Ads Template<\/strong> is a reusable framework for building and optimizing Shopping Ads<\/strong> within a Paid Marketing<\/strong> program. It standardizes campaign structure, feed requirements, bidding rules, tracking, and reporting so teams can launch faster, reduce mistakes, and improve performance consistently. When treated as a living playbook\u2014tied to clear metrics and governance\u2014it becomes a scalable foundation for profitable growth.<\/p>\n\n\n\n

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

                                      1) What is a Shopping Ads Template used for?<\/h3>\n\n\n\n

                                      A Shopping Ads Template<\/strong> is used to standardize how Shopping Ads<\/strong> campaigns are created, segmented, tracked, and optimized so performance and reporting remain consistent as you scale Paid Marketing<\/strong>.<\/p>\n\n\n\n

                                      2) Does a Shopping Ads Template improve performance automatically?<\/h3>\n\n\n\n

                                      Not automatically. It improves the process<\/em>\u2014fewer errors, better structure, clearer segmentation\u2014which makes optimization more effective and reduces preventable performance issues.<\/p>\n\n\n\n

                                      3) How often should I update my Shopping Ads Template?<\/h3>\n\n\n\n

                                      Update it when you change goals (growth vs profit), add major categories\/regions, adopt new tracking approaches, or learn from experiments. Many teams review templates quarterly and adjust monthly based on findings.<\/p>\n\n\n\n

                                      4) What\u2019s the difference between Shopping Ads and search ads templates?<\/h3>\n\n\n\n

                                      Shopping Ads<\/strong> templates depend heavily on product feeds and product grouping logic. Search ads templates focus more on keywords, ad copy, and landing pages. In Paid Marketing<\/strong>, they complement each other but require different inputs.<\/p>\n\n\n\n

                                      5) What data do I need before applying a Shopping Ads Template?<\/h3>\n\n\n\n

                                      At minimum: clean product titles, accurate price and availability, reliable identifiers (where relevant), working landing pages, shipping\/tax settings aligned with destinations, and validated conversion tracking.<\/p>\n\n\n\n

                                      6) Can small businesses benefit from a Shopping Ads Template?<\/h3>\n\n\n\n

                                      Yes. Small teams often benefit the most because templates reduce setup time and prevent expensive mistakes. A lightweight Shopping Ads Template<\/strong> can be as simple as a naming standard, a basic segmentation model, and a weekly QA checklist.<\/p>\n\n\n\n

                                      7) How do I know my Shopping Ads Template is working?<\/h3>\n\n\n\n

                                      Look for fewer disapprovals and feed issues, faster campaign launches, clearer performance insights, and improved efficiency metrics like ROAS\/CPA stability. The best sign is that Shopping Ads<\/strong> optimizations become repeatable rather than \u201cstarting over\u201d each month.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                      A **Shopping Ads Template** is a repeatable blueprint for creating, structuring, and optimizing **Shopping Ads** campaigns in **Paid Marketing**. Instead of rebuilding product ad setups from scratch each time\u2014naming conventions, feed rules, bidding strategy, promo messaging, tracking, and reporting\u2014a template standardizes the decisions that matter and turns them into an operational playbook.<\/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-11402","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\/11402","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=11402"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/11402\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=11402"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=11402"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=11402"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}