{"id":10228,"date":"2026-03-29T02:27:33","date_gmt":"2026-03-29T02:27:33","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/display-remarketing-audience\/"},"modified":"2026-03-29T02:27:33","modified_gmt":"2026-03-29T02:27:33","slug":"display-remarketing-audience","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/display-remarketing-audience\/","title":{"rendered":"Display Remarketing Audience: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Display Advertising"},"content":{"rendered":"\n

A Display Remarketing Audience<\/strong> is a defined group of people who previously interacted with your brand (such as visiting your website, using your app, or engaging with a product page) and can later be reached again through Display Advertising<\/strong> placements. In Paid Marketing<\/strong>, it\u2019s one of the most reliable ways to re-engage high-intent users, shorten the path to conversion, and improve efficiency versus targeting only new prospects.<\/p>\n\n\n\n

What makes a Display Remarketing Audience especially important today is that attention is fragmented and purchase cycles are rarely linear. People compare options, switch devices, abandon carts, and return days or weeks later. Strong Paid Marketing<\/strong> strategies use remarketing audiences to stay relevant during that decision window\u2014without relying on guesswork.<\/p>\n\n\n\n

What Is Display Remarketing Audience?<\/h2>\n\n\n\n

A Display Remarketing Audience<\/strong> is an audience segment built from first-party engagement signals (and, where available and compliant, other allowable signals) that identifies users who have shown prior interest. You then target that segment with Display Advertising<\/strong> creatives across websites, apps, and other inventory supported by your media buying stack.<\/p>\n\n\n\n

At its core, the concept is simple:<\/p>\n\n\n\n

    \n
  • Someone interacts<\/strong> with your brand.<\/li>\n
  • They become eligible for an audience list<\/strong> based on rules you define.<\/li>\n
  • Your Paid Marketing<\/strong> campaigns show display ads to that group to encourage the next step.<\/li>\n<\/ul>\n\n\n\n

    From a business perspective, a Display Remarketing Audience represents \u201calready-warm demand.\u201d Instead of spending only on awareness, you invest in nudging motivated users toward conversion, subscription, lead submission, or repeat purchase. Within Display Advertising<\/strong>, this is often the bridge between upper-funnel reach and lower-funnel results.<\/p>\n\n\n\n

    Why Display Remarketing Audience Matters in Paid Marketing<\/h2>\n\n\n\n

    A well-constructed Display Remarketing Audience<\/strong> improves outcomes because it targets people with demonstrated intent rather than broad assumptions. In Paid Marketing<\/strong>, that usually means better economics and clearer measurement.<\/p>\n\n\n\n

    Key reasons it matters:<\/p>\n\n\n\n

      \n
    • Higher relevance<\/strong>: Ads align with what the user already viewed or considered.<\/li>\n
    • Better conversion efficiency<\/strong>: Warm audiences often convert at lower cost than cold prospecting.<\/li>\n
    • Funnel control<\/strong>: You can intentionally move users from product interest to checkout, or from content consumption to lead capture.<\/li>\n
    • Competitive defense<\/strong>: If a user is comparison shopping, remarketing helps your brand remain visible while competitors bid for the same attention.<\/li>\n
    • Budget discipline<\/strong>: A Display Remarketing Audience can be sized, capped, and prioritized, making it easier to allocate spend rationally across funnel stages.<\/li>\n<\/ul>\n\n\n\n

      In modern Display Advertising<\/strong>, remarketing isn\u2019t just a tactic\u2014it\u2019s often the operational backbone that connects on-site behavior with off-site media activation.<\/p>\n\n\n\n

      How Display Remarketing Audience Works<\/h2>\n\n\n\n

      A Display Remarketing Audience<\/strong> is built and activated through a practical workflow. Exact steps vary by stack, but the mechanics are consistent.<\/p>\n\n\n\n

        \n
      1. Input \/ Trigger (data collection)<\/strong>\n Users trigger eligibility events such as:\n – Visiting specific pages (product, pricing, category, blog)\n – Adding to cart or starting checkout\n – Completing a purchase (for upsell or retention)\n – Using app features (for lifecycle campaigns)<\/li>\n<\/ol>\n\n\n\n

        These signals are collected via site tags, SDKs, server-side events, or consented identifiers.<\/p>\n\n\n\n

          \n
        1. Processing (audience rules and segmentation)<\/strong>\n You define rules that turn raw events into segments, for example:\n – \u201cVisited Product A page at least once in the last 14 days\u201d\n – \u201cStarted checkout but did not purchase within 3 days\u201d\n – \u201cPurchased in last 30 days, exclude from acquisition campaigns\u201d<\/li>\n<\/ol>\n\n\n\n

          This step is where a Display Remarketing Audience becomes strategically useful: the rules encode intent, recency, and exclusions.<\/p>\n\n\n\n

            \n
          1. \n

            Execution (activation in Display Advertising)<\/strong>\n The audience is then used as a targeting layer in Display Advertising<\/strong> campaigns. You choose creatives, bids, frequency caps, placements, and messaging aligned to that segment\u2019s stage.<\/p>\n<\/li>\n

          2. \n

            Output \/ Outcome (measurement and optimization)<\/strong>\n Results are monitored via conversions, assisted conversions, view-through influence (where applicable), incremental lift tests, and cost efficiency metrics. You iterate by refining audience rules, creative sequencing, and spend allocation\u2014core activities in Paid Marketing<\/strong> optimization.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

            Key Components of Display Remarketing Audience<\/h2>\n\n\n\n

            A durable Display Remarketing Audience<\/strong> program depends on more than a simple tag.<\/p>\n\n\n\n

            Core elements include:<\/strong><\/p>\n\n\n\n

              \n
            • Data inputs<\/strong><\/li>\n
            • Page views, events, ecommerce actions, lead form interactions<\/li>\n
            • App events (opens, feature use, in-app purchases)<\/li>\n
            • \n

              CRM signals (customer status, lifecycle stage) when privacy-compliant<\/p>\n<\/li>\n

            • \n

              Audience definitions<\/strong><\/p>\n<\/li>\n

            • Inclusion rules (who qualifies)<\/li>\n
            • Exclusion rules (who should not see ads)<\/li>\n
            • Membership duration (how long users stay eligible)<\/li>\n
            • \n

              Recency tiers (e.g., 1\u20133 days, 4\u201314 days, 15\u201330 days)<\/p>\n<\/li>\n

            • \n

              Creative and messaging strategy<\/strong><\/p>\n<\/li>\n

            • Tailored value props (shipping, returns, trial, case studies)<\/li>\n
            • \n

              Sequential messaging (educate \u2192 reassure \u2192 offer)<\/p>\n<\/li>\n

            • \n

              Governance and responsibilities<\/strong><\/p>\n<\/li>\n

            • Marketing owns goals and segmentation logic<\/li>\n
            • Analytics ensures event accuracy and measurement integrity<\/li>\n
            • Developers implement tagging\/SDK\/server-side events<\/li>\n
            • \n

              Legal\/privacy ensures consent, retention, and disclosure policies are followed<\/p>\n<\/li>\n

            • \n

              Measurement framework<\/strong>\n A Display Remarketing Audience can inflate results if measurement is sloppy. Clear attribution rules and incremental testing help ensure your Paid Marketing<\/strong> decisions are based on real lift.<\/p>\n<\/li>\n<\/ul>\n\n\n\n

              Types of Display Remarketing Audience<\/h2>\n\n\n\n

              \u201cTypes\u201d are best understood as practical segmentation approaches used in Display Advertising<\/strong>.<\/p>\n\n\n\n

              Behavior-based (site\/app actions)<\/h3>\n\n\n\n
                \n
              • Product viewers<\/li>\n
              • Category browsers<\/li>\n
              • Cart abandoners<\/li>\n
              • Checkout starters<\/li>\n
              • Feature users (SaaS) or content consumers (publishers)<\/li>\n<\/ul>\n\n\n\n

                Recency-based (time since action)<\/h3>\n\n\n\n
                  \n
                • 1\u20133 days: highest intent, more direct CTAs<\/li>\n
                • 4\u201314 days: reintroduce value props, social proof<\/li>\n
                • 15\u201330+ days: lighter touch, new angles, broader offers<\/li>\n<\/ul>\n\n\n\n

                  Value-based (customer or lead quality)<\/h3>\n\n\n\n
                    \n
                  • High LTV customers for cross-sell<\/li>\n
                  • High-quality leads for sales enablement<\/li>\n
                  • Repeat purchasers for replenishment or upgrades<\/li>\n<\/ul>\n\n\n\n

                    Funnel-stage audiences<\/h3>\n\n\n\n
                      \n
                    • Awareness visitors (blog readers) vs. decision visitors (pricing page)<\/li>\n
                    • Trial users vs. churn-risk users (if you can model it responsibly)<\/li>\n<\/ul>\n\n\n\n

                      Each approach shapes how you bid, cap frequency, and tailor creative\u2014core decisions in Paid Marketing<\/strong>.<\/p>\n\n\n\n

                      Real-World Examples of Display Remarketing Audience<\/h2>\n\n\n\n

                      Example 1: Ecommerce cart recovery in Display Advertising<\/h3>\n\n\n\n

                      An online retailer builds a Display Remarketing Audience<\/strong> for \u201cadd-to-cart, no purchase in 24 hours.\u201d The campaign uses product-focused creatives and a reminder message, then switches to reassurance (returns, shipping speed) after day three. In Paid Marketing<\/strong>, this often reduces wasted spend by focusing on near-converters rather than broad targeting.<\/p>\n\n\n\n

                      Example 2: B2B SaaS pricing-page remarketing<\/h3>\n\n\n\n

                      A SaaS company creates a Display Remarketing Audience<\/strong> of users who visited the pricing page but didn\u2019t start a trial. Their Display Advertising<\/strong> creative highlights ROI proof points, implementation time, and a short demo offer. They exclude existing customers and current trial users to avoid message mismatch.<\/p>\n\n\n\n

                      Example 3: Content-to-lead nurturing for a service business<\/h3>\n\n\n\n

                      A consultancy builds a Display Remarketing Audience<\/strong> of visitors who read two or more high-intent articles (e.g., \u201ccost,\u201d \u201ctimeline,\u201d \u201ccomparison\u201d). Ads promote a downloadable checklist and a consultation booking page. This ties Paid Marketing<\/strong> spend to demonstrated intent instead of generic demographics.<\/p>\n\n\n\n

                      Benefits of Using Display Remarketing Audience<\/h2>\n\n\n\n

                      A strong Display Remarketing Audience<\/strong> strategy can deliver benefits across performance, efficiency, and user experience.<\/p>\n\n\n\n

                        \n
                      • Improved conversion rates<\/strong>: Users are already familiar with the brand and offer.<\/li>\n
                      • Lower acquisition costs<\/strong>: Warm segments often require fewer impressions to convert.<\/li>\n
                      • Better budget efficiency<\/strong>: You can reserve spend for users most likely to act.<\/li>\n
                      • Higher message relevance<\/strong>: Ads reflect what users actually did, not what you assume.<\/li>\n
                      • Stronger funnel continuity<\/strong>: Display Advertising<\/strong> becomes a continuation of the on-site journey rather than disconnected promotion.<\/li>\n
                      • More predictable scaling<\/strong>: As traffic grows, remarketing lists grow, giving Paid Marketing<\/strong> teams a controllable lever for incremental revenue.<\/li>\n<\/ul>\n\n\n\n

                        Challenges of Display Remarketing Audience<\/h2>\n\n\n\n

                        A Display Remarketing Audience<\/strong> can underperform\u2014or create brand risk\u2014if you ignore common pitfalls.<\/p>\n\n\n\n

                          \n
                        • Data quality issues<\/strong>: Broken tags, duplicated events, or missing conversion signals lead to wrong audience membership.<\/li>\n
                        • Small audience sizes<\/strong>: Low-traffic sites may struggle to build meaningful segments, limiting Display Advertising<\/strong> reach.<\/li>\n
                        • Overexposure<\/strong>: Without frequency caps and exclusions, users may see repetitive ads that harm brand perception.<\/li>\n
                        • Attribution bias<\/strong>: Remarketing often captures users who were going to convert anyway; without incrementality checks, Paid Marketing<\/strong> ROI can be overstated.<\/li>\n
                        • Privacy and consent constraints<\/strong>: Regulations, browser changes, and platform policies affect how users can be identified and targeted. Audience strategies must be designed to be compliant and resilient.<\/li>\n<\/ul>\n\n\n\n

                          Best Practices for Display Remarketing Audience<\/h2>\n\n\n\n

                          Use these practices to make a Display Remarketing Audience<\/strong> both effective and sustainable:<\/p>\n\n\n\n

                            \n
                          1. \n

                            Segment by intent, not just \u201call visitors\u201d<\/strong>\n Build separate audiences for product viewers, cart abandoners, pricing visitors, and engaged readers. Intent segmentation is where Paid Marketing<\/strong> gains are found.<\/p>\n<\/li>\n

                          2. \n

                            Use exclusion lists aggressively<\/strong>\n Exclude purchasers from acquisition remarketing. Exclude recent converters from seeing the same offer. This improves user experience and protects efficiency in Display Advertising<\/strong>.<\/p>\n<\/li>\n

                          3. \n

                            Set membership durations intentionally<\/strong>\n Shorter windows for high-intent actions (cart, checkout). Longer windows for consideration actions (category browsing, content).<\/p>\n<\/li>\n

                          4. \n

                            Control frequency and refresh creative<\/strong>\n Apply frequency caps and rotate creatives. A Display Remarketing Audience performs best when the message evolves with time and user fatigue.<\/p>\n<\/li>\n

                          5. \n

                            Align creative to stage and objection<\/strong>\n Early remarketing: remind and clarify value. Mid: social proof and comparisons. Late: urgency, incentives, or risk reversal (warranty, returns).<\/p>\n<\/li>\n

                          6. \n

                            Validate tracking and audience rules regularly<\/strong>\n Audit events, deduplication, and audience membership logic monthly\u2014especially after site releases.<\/p>\n<\/li>\n

                          7. \n

                            Measure incrementality when possible<\/strong>\n Use holdouts, lift tests, or geo splits to estimate the true incremental impact of the Display Remarketing Audience<\/strong> in your Paid Marketing<\/strong> mix.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                            Tools Used for Display Remarketing Audience<\/h2>\n\n\n\n

                            You don\u2019t need a specific vendor to understand the tool categories that support a Display Remarketing Audience<\/strong> program in Display Advertising<\/strong>:<\/p>\n\n\n\n

                              \n
                            • \n

                              Tag management and event collection<\/strong>\n Helps deploy pixels\/tags, manage triggers, and reduce reliance on frequent code releases.<\/p>\n<\/li>\n

                            • \n

                              Analytics tools<\/strong>\n Validate funnels, identify high-intent behaviors, and confirm that remarketing lists match real user journeys.<\/p>\n<\/li>\n

                            • \n

                              Ad platforms and buying systems<\/strong>\n Where audiences are activated for Display Advertising<\/strong>, with controls for bids, frequency, placements, and creative rotation.<\/p>\n<\/li>\n

                            • \n

                              CRM systems and marketing automation<\/strong>\n Useful for suppression (exclude customers), lifecycle segmentation, and aligning Paid Marketing<\/strong> messaging with sales status.<\/p>\n<\/li>\n

                            • \n

                              Consent management and privacy tooling<\/strong>\n Ensures user preferences are respected and audience eligibility is handled appropriately.<\/p>\n<\/li>\n

                            • \n

                              Reporting dashboards and BI<\/strong>\n Consolidate performance across segments, windows, and creatives to identify which Display Remarketing Audience definitions actually drive outcomes.<\/p>\n<\/li>\n<\/ul>\n\n\n\n

                              Metrics Related to Display Remarketing Audience<\/h2>\n\n\n\n

                              The right metrics depend on your goal (sales, leads, subscriptions), but these are commonly used to manage a Display Remarketing Audience<\/strong> within Paid Marketing<\/strong>:<\/p>\n\n\n\n

                                \n
                              • Audience size and match rate<\/strong>: How many users qualify and are targetable.<\/li>\n
                              • Reach and frequency<\/strong>: Exposure levels; critical for controlling fatigue in Display Advertising<\/strong>.<\/li>\n
                              • CTR and engagement rate<\/strong>: Useful directional indicators, especially for creative testing.<\/li>\n
                              • Conversion rate (CVR)<\/strong>: Segment-level performance, best compared across intent tiers.<\/li>\n
                              • CPA \/ CPL<\/strong>: Cost per acquisition\/lead; central efficiency measure in Paid Marketing<\/strong>.<\/li>\n
                              • ROAS or revenue per user<\/strong>: For ecommerce and monetizable actions.<\/li>\n
                              • View-through and assisted conversions (used carefully)<\/strong>: Can help understand influence, but should be paired with incrementality checks.<\/li>\n
                              • Incremental lift<\/strong>: The clearest signal of whether remarketing is creating new outcomes or just claiming credit.<\/li>\n<\/ul>\n\n\n\n

                                Future Trends of Display Remarketing Audience<\/h2>\n\n\n\n

                                A Display Remarketing Audience<\/strong> is evolving as the industry shifts toward privacy resilience and automation.<\/p>\n\n\n\n

                                  \n
                                • More first-party and consented data strategies<\/strong>: Brands will rely more on clean, well-governed event data and less on fragile identifiers.<\/li>\n
                                • Server-side event collection growth<\/strong>: Improves data reliability and measurement continuity for Paid Marketing<\/strong> teams.<\/li>\n
                                • Smarter automation and AI-driven segmentation<\/strong>: Systems increasingly suggest audiences, windows, and creative sequencing based on predicted intent\u2014while humans still set goals, guardrails, and brand standards.<\/li>\n
                                • Creative personalization at scale<\/strong>: Dynamic messaging and modular creative frameworks will become standard in Display Advertising<\/strong>, especially for large catalogs and multi-step funnels.<\/li>\n
                                • Incrementality as a default expectation<\/strong>: As attribution becomes less deterministic, marketers will lean more on experiments to validate the real contribution of a Display Remarketing Audience.<\/li>\n<\/ul>\n\n\n\n

                                  Display Remarketing Audience vs Related Terms<\/h2>\n\n\n\n

                                  Display Remarketing Audience vs Retargeting<\/h3>\n\n\n\n

                                  These terms are often used interchangeably. Practically, \u201cretargeting\u201d usually describes the tactic of showing ads again, while Display Remarketing Audience<\/strong> emphasizes the defined segment<\/em> that enables that tactic. In Display Advertising<\/strong>, audience construction is the controllable asset; retargeting is the action.<\/p>\n\n\n\n

                                  Display Remarketing Audience vs Lookalike\/Similar Audiences<\/h3>\n\n\n\n

                                  A Display Remarketing Audience<\/strong> is based on people who already interacted with you. Lookalike or similar audiences expand reach to new people who resemble your converters or visitors. In Paid Marketing<\/strong>, remarketing captures demand; lookalikes help create new demand.<\/p>\n\n\n\n

                                  Display Remarketing Audience vs Contextual Targeting<\/h3>\n\n\n\n

                                  Contextual targeting places ads based on the content of the page, not the user\u2019s prior behavior. It\u2019s useful when user-level targeting is limited. A Display Remarketing Audience is behavior-based and typically more personalized, while contextual is environment-based and often broader.<\/p>\n\n\n\n

                                  Who Should Learn Display Remarketing Audience<\/h2>\n\n\n\n
                                    \n
                                  • Marketers<\/strong> need it to structure full-funnel Paid Marketing<\/strong> programs and improve efficiency in Display Advertising<\/strong>.<\/li>\n
                                  • Analysts<\/strong> benefit from understanding audience rules, attribution risks, and incrementality measurement.<\/li>\n
                                  • Agencies<\/strong> use Display Remarketing Audience strategies to deliver repeatable performance wins and clearer reporting for clients.<\/li>\n
                                  • Business owners and founders<\/strong> should know it to assess whether spend is going toward warm, high-intent users versus overly broad reach.<\/li>\n
                                  • Developers<\/strong> play a key role in event tracking, server-side implementations, and ensuring the data powering a Display Remarketing Audience is accurate and privacy-aware.<\/li>\n<\/ul>\n\n\n\n

                                    Summary of Display Remarketing Audience<\/h2>\n\n\n\n

                                    A Display Remarketing Audience<\/strong> is a defined segment of people who previously engaged with your brand and can be re-engaged through Display Advertising<\/strong>. It matters because it helps Paid Marketing<\/strong> teams focus budget on higher-intent users, improve conversion efficiency, and create more relevant messaging across the decision journey. When built with clean data, thoughtful segmentation, and strong measurement, it becomes a durable lever for growth and a practical foundation for modern remarketing strategy.<\/p>\n\n\n\n

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

                                    1) What is a Display Remarketing Audience?<\/h3>\n\n\n\n

                                    A Display Remarketing Audience<\/strong> is a group of users who previously interacted with your website or app and can be targeted again with display ads based on defined rules like page visits, cart actions, or recency.<\/p>\n\n\n\n

                                    2) How is Display Remarketing Audience different from general audience targeting?<\/h3>\n\n\n\n

                                    General targeting often uses broad signals (interests, demographics, context). A Display Remarketing Audience is based on first-hand engagement with your brand, which usually indicates higher intent and supports more precise Paid Marketing<\/strong> optimization.<\/p>\n\n\n\n

                                    3) Does Display Advertising remarketing always improve performance?<\/h3>\n\n\n\n

                                    Not always. It often improves efficiency, but results depend on audience quality, creative relevance, frequency controls, and whether the conversions are truly incremental. Poor segmentation can waste spend or annoy users.<\/p>\n\n\n\n

                                    4) What membership duration should I use for a Display Remarketing Audience?<\/h3>\n\n\n\n

                                    Use intent-based windows: shorter for high-intent actions (1\u20137 days for cart\/checkout) and longer for consideration actions (14\u201330 days for product research). Then test and refine based on conversion lag and frequency.<\/p>\n\n\n\n

                                    5) How do I avoid annoying users with remarketing ads?<\/h3>\n\n\n\n

                                    Use frequency caps, exclude recent converters, rotate creatives, and adjust messaging by recency. A good Display Remarketing Audience<\/strong> strategy prioritizes relevance over repetition in Display Advertising<\/strong>.<\/p>\n\n\n\n

                                    6) What are the most important metrics to track for remarketing audiences?<\/h3>\n\n\n\n

                                    Track audience size, frequency, CPA\/CPL, conversion rate, and incremental lift. In Paid Marketing<\/strong>, incrementality (measured via experiments) is especially valuable to confirm true impact.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                    A **Display Remarketing Audience** is a defined group of people who previously interacted with your brand (such as visiting your website, using your app, or engaging with a product page) and can later be reached again through **Display Advertising** placements. In **Paid Marketing**, it\u2019s one of the most reliable ways to re-engage high-intent users, shorten the path to conversion, and improve efficiency versus targeting only new prospects.<\/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":[1907],"tags":[],"class_list":["post-10228","post","type-post","status-publish","format-standard","hentry","category-display-advertising"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/10228","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=10228"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/10228\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=10228"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=10228"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=10228"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}