{"id":10955,"date":"2026-03-30T04:50:21","date_gmt":"2026-03-30T04:50:21","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/suppression-audience\/"},"modified":"2026-03-30T04:50:21","modified_gmt":"2026-03-30T04:50:21","slug":"suppression-audience","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/suppression-audience\/","title":{"rendered":"Suppression Audience: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Retargeting \/ Remarketing"},"content":{"rendered":"\n

Modern Paid Marketing<\/strong> is as much about who not<\/em> to target as who to target. A Suppression Audience<\/strong> is the mechanism that makes that possible: it\u2019s a defined set of people you intentionally exclude from seeing certain ads. In Retargeting \/ Remarketing<\/strong>, suppression is especially important because the default tendency of retargeting is to \u201ckeep chasing\u201d anyone who touched your site or app\u2014even if they already converted, are unqualified, or are likely to have a poor experience.<\/p>\n\n\n\n

Used well, a Suppression Audience<\/strong> protects budget, improves performance, and prevents annoying or confusing ad experiences (like showing \u201cBuy now\u201d ads to someone who purchased yesterday). It also helps teams align Paid Marketing<\/strong> with the full customer lifecycle, ensuring Retargeting \/ Remarketing<\/strong> supports acquisition and<\/em> retention without waste.<\/p>\n\n\n\n

What Is Suppression Audience?<\/h2>\n\n\n\n

A Suppression Audience<\/strong> is a list or segment of users that an advertiser deliberately excludes from an ad campaign or ad set. The key idea is intentional non-targeting: you define criteria that indicate a person should not<\/em> receive a message, and you apply that exclusion to your targeting.<\/p>\n\n\n\n

At a core concept level, suppression is about relevance and efficiency:<\/p>\n\n\n\n

    \n
  • Relevance:<\/strong> avoid mismatched messaging (e.g., \u201csign up\u201d ads to existing customers).<\/li>\n
  • Efficiency:<\/strong> reduce spend on low-probability conversions or redundant impressions.<\/li>\n
  • Experience:<\/strong> avoid overexposure that can lead to brand fatigue.<\/li>\n<\/ul>\n\n\n\n

    From a business perspective, a Suppression Audience<\/strong> is a control layer in Paid Marketing<\/strong>. It ensures media dollars are allocated to the highest-value users and that marketing communications reflect real-world status (customer vs prospect, eligible vs ineligible, recent buyer vs lapsed).<\/p>\n\n\n\n

    Within Retargeting \/ Remarketing<\/strong>, suppression is foundational. Retargeting typically relies on behavioral signals\u2014page visits, product views, cart events\u2014and without suppression, those same signals can keep people in the retargeting pool even after they\u2019ve completed the desired action.<\/p>\n\n\n\n

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

    A well-designed Suppression Audience<\/strong> creates strategic leverage across your funnel. In competitive Paid Marketing<\/strong> environments, small efficiency improvements compound\u2014especially when audiences are large and bids are high.<\/p>\n\n\n\n

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

      \n
    • Budget protection:<\/strong> Excluding existing customers from acquisition campaigns prevents paying acquisition prices for retention outcomes.<\/li>\n
    • Cleaner learning signals:<\/strong> If converters keep getting targeted, platform optimization can misread what\u2019s working, because conversions may be \u201ceasy wins\u201d from people who would have converted anyway.<\/li>\n
    • Better message sequencing:<\/strong> Suppression enables controlled progression (e.g., awareness \u2192 consideration \u2192 conversion) without overlapping messages.<\/li>\n
    • Lower frequency and fatigue:<\/strong> In Retargeting \/ Remarketing<\/strong>, over-serving ads is common. Suppression reduces redundant impressions and helps maintain brand trust.<\/li>\n
    • Competitive advantage:<\/strong> Many advertisers still run broad retargeting pools with minimal exclusions. Sophisticated suppression can improve ROI and reduce wasted spend without increasing risk.<\/li>\n<\/ul>\n\n\n\n

      How Suppression Audience Works<\/h2>\n\n\n\n

      In practice, Suppression Audience<\/strong> management is a lifecycle workflow that connects data signals to campaign rules.<\/p>\n\n\n\n

        \n
      1. \n

        Input \/ triggers (who should be excluded?)<\/strong>\n Exclusion signals come from user actions or attributes, such as:\n – Purchase completed\n – Subscription started\n – Lead already qualified or disqualified\n – Existing customer status in a CRM\n – Recent support ticket (avoid aggressive upsell)\n – Ineligible geography, age bracket, or product availability<\/p>\n<\/li>\n

      2. \n

        Processing (how do you define and refresh the audience?)<\/strong>\n The signals are translated into an audience definition:\n – A rule-based segment (e.g., \u201cpurchased in last 30 days\u201d)\n – A list-based segment (e.g., a CRM export)\n – An event-based segment (e.g., \u201corder_complete\u201d event)<\/p>\n<\/li>\n<\/ol>\n\n\n\n

        Refresh cadence matters. In fast-moving funnels, suppression should update daily or near real time; otherwise, people can slip into the wrong ad experiences.<\/p>\n\n\n\n

          \n
        1. \n

          Execution (where is suppression applied?)<\/strong>\n The audience is applied as an exclusion at the campaign, ad set, or ad group level. In Paid Marketing<\/strong>, suppression typically applies to:\n – Acquisition campaigns (exclude customers)\n – Retargeting \/ Remarketing<\/strong> campaigns (exclude converters, refunders, recent buyers)\n – Upsell\/cross-sell campaigns (exclude people who bought the targeted SKU)<\/p>\n<\/li>\n

        2. \n

          Output \/ outcomes (what changes?)<\/strong>\n If configured correctly, suppression results in:\n – Reduced wasted impressions and clicks\n – Improved conversion rate and CPA efficiency\n – Cleaner audience segmentation for testing\n – Better customer experience through relevant messaging<\/p>\n<\/li>\n<\/ol>\n\n\n\n

          Key Components of Suppression Audience<\/h2>\n\n\n\n

          A Suppression Audience<\/strong> is not just a checkbox\u2014it\u2019s a set of interconnected components:<\/p>\n\n\n\n

            \n
          • Data inputs:<\/strong> web\/app events, purchase data, CRM fields, subscription status, product catalog metadata, customer service signals.<\/li>\n
          • Identity resolution:<\/strong> the ability to match people across systems (e.g., ad platform identifiers vs CRM records). This is often the limiting factor.<\/li>\n
          • Segmentation rules:<\/strong> time windows (7\/30\/90 days), event thresholds (viewed product 3+ times), exclusions by product category, region, or lifecycle stage.<\/li>\n
          • Governance:<\/strong> clear ownership across marketing, analytics, and data teams; documented rules; change control.<\/li>\n
          • Quality checks:<\/strong> audience size monitoring, match rate monitoring, and validation that excluded users are truly being excluded.<\/li>\n
          • Measurement framework:<\/strong> holdout testing or segmented reporting to understand what suppression changes in Paid Marketing<\/strong> results.<\/li>\n<\/ul>\n\n\n\n

            Types of Suppression Audience<\/h2>\n\n\n\n

            While \u201ctypes\u201d aren\u2019t always formally standardized, practitioners commonly use several suppression approaches depending on goal and funnel position:<\/p>\n\n\n\n

              \n
            1. \n

              Conversion-based suppression<\/strong>\n Exclude users who completed the primary conversion (purchase, signup, booked demo). This is the most common Retargeting \/ Remarketing<\/strong> suppression.<\/p>\n<\/li>\n

            2. \n

              Lifecycle-based suppression<\/strong>\n Exclude based on lifecycle stage: customers vs prospects, active subscribers vs churned, trial users vs paid users. This connects Paid Marketing<\/strong> to lifecycle marketing.<\/p>\n<\/li>\n

            3. \n

              Recency suppression (cooldown windows)<\/strong>\n Exclude recent converters for a set period (e.g., 14 or 30 days) to avoid immediate repetition. Cooldowns are critical for high-frequency retargeting.<\/p>\n<\/li>\n

            4. \n

              Product or category suppression<\/strong>\n Exclude users who already bought the specific product being advertised, while still allowing other offers.<\/p>\n<\/li>\n

            5. \n

              Eligibility and compliance suppression<\/strong>\n Exclude users in regions you can\u2019t serve, age-ineligible groups where applicable, or customers who opted out of certain targeting categories\u2014supporting policy and privacy requirements.<\/p>\n<\/li>\n

            6. \n

              Value-based suppression<\/strong>\n Exclude low-LTV or high-return-rate segments from certain offers when the economics don\u2019t work. This is advanced and requires careful validation to avoid bias or poor customer treatment.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

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

              Example 1: E-commerce retargeting after purchase<\/h3>\n\n\n\n

              An online retailer runs Retargeting \/ Remarketing<\/strong> for cart abandoners. Without suppression, buyers continue seeing \u201cComplete your purchase\u201d ads after checkout. A Suppression Audience<\/strong> built from the purchase event excludes buyers for 30 days.\nResult:<\/strong> fewer wasted impressions, improved ROAS, and fewer complaints about repetitive ads\u2014while Paid Marketing<\/strong> spend shifts to true non-buyers.<\/p>\n\n\n\n

              Example 2: B2B lead-gen excluding existing opportunities<\/h3>\n\n\n\n

              A SaaS company runs Paid Marketing<\/strong> to generate demo requests and uses Retargeting \/ Remarketing<\/strong> for visitors to pricing pages. They create a Suppression Audience<\/strong> from CRM stages: \u201cOpen Opportunity,\u201d \u201cCustomer,\u201d and \u201cDisqualified.\u201d\nResult:<\/strong> the retargeting budget focuses on net-new prospects and avoids serving acquisition messages to accounts already in sales cycles or unqualified segments.<\/p>\n\n\n\n

              Example 3: Subscription service controlling offer overlap<\/h3>\n\n\n\n

              A subscription brand runs acquisition ads offering \u201cFirst month discount\u201d and separate win-back ads for churned users. A Suppression Audience<\/strong> excludes active subscribers from the discount campaign and excludes recent cancelers from seeing acquisition messaging that conflicts with win-back incentives.\nResult:<\/strong> cleaner incentive strategy, fewer margin leaks, and more consistent customer experience across Paid Marketing<\/strong> channels.<\/p>\n\n\n\n

              Benefits of Using Suppression Audience<\/h2>\n\n\n\n

              A disciplined Suppression Audience<\/strong> strategy delivers benefits that show up in both performance and brand health:<\/p>\n\n\n\n

                \n
              • Performance improvements:<\/strong> higher conversion rates from targeting only eligible, high-intent users; better Retargeting \/ Remarketing<\/strong> efficiency.<\/li>\n
              • Cost savings:<\/strong> fewer wasted clicks and impressions; lower CPA when budget is not diluted by already-converted users.<\/li>\n
              • Operational efficiency:<\/strong> clearer campaign structure, easier testing, and less time spent troubleshooting \u201cwhy are customers seeing this ad?\u201d<\/li>\n
              • Audience experience:<\/strong> reduced ad fatigue and fewer confusing messages, which can improve brand perception and long-term engagement.<\/li>\n
              • Stronger measurement:<\/strong> cleaner attribution and more reliable lift analysis because campaigns are not \u201cpadding\u201d results with people who already converted.<\/li>\n<\/ul>\n\n\n\n

                Challenges of Suppression Audience<\/h2>\n\n\n\n

                Suppression can fail quietly. Common challenges include:<\/p>\n\n\n\n

                  \n
                • Data freshness issues:<\/strong> purchase or CRM updates lag behind ad delivery, causing users to see ads that should have been suppressed.<\/li>\n
                • Identity and match rate limitations:<\/strong> the ad platform may not match all customer records, especially across devices or with reduced identifier availability.<\/li>\n
                • Over-suppression:<\/strong> excluding too broadly can shrink reach and starve campaigns\u2014particularly in smaller markets.<\/li>\n
                • Fragmented governance:<\/strong> multiple teams create overlapping exclusions, leading to unpredictable delivery and hard-to-debug performance drops.<\/li>\n
                • Measurement ambiguity:<\/strong> when performance improves after suppression, it can be hard to separate \u201cless waste\u201d from \u201cless volume,\u201d especially without a testing plan.<\/li>\n
                • Policy and privacy constraints:<\/strong> suppression must respect consent and data usage rules. Poor handling can introduce compliance risk.<\/li>\n<\/ul>\n\n\n\n

                  Best Practices for Suppression Audience<\/h2>\n\n\n\n

                  To make Suppression Audience<\/strong> a reliable lever in Paid Marketing<\/strong> and Retargeting \/ Remarketing<\/strong>, use these practices:<\/p>\n\n\n\n

                    \n
                  • Start with the obvious exclusions:<\/strong> converters, active customers, and ineligible geographies. These usually deliver immediate efficiency gains.<\/li>\n
                  • Define time windows intentionally:<\/strong> \u201cexclude purchasers for 30 days\u201d is not universal. Tune windows based on repurchase cycle, sales cycle length, and product usage patterns.<\/li>\n
                  • Separate suppression by objective:<\/strong> acquisition campaigns should exclude customers; retention campaigns should exclude prospects. Avoid applying the same exclusions everywhere.<\/li>\n
                  • Validate with live checks:<\/strong> periodically test by spot-checking ad delivery (where possible) and comparing audience counts against expected totals.<\/li>\n
                  • Monitor audience size trends:<\/strong> sudden drops can indicate tracking issues; sudden spikes can signal broken purchase events or CRM syncing problems.<\/li>\n
                  • Use layered exclusions carefully:<\/strong> multiple suppressions can interact. Document rules and keep a simple \u201csource of truth\u201d for key lifecycle segments.<\/li>\n
                  • Plan for edge cases:<\/strong> refunds, cancellations, chargebacks, and duplicate leads can require additional suppression logic.<\/li>\n
                  • Align messaging with suppression:<\/strong> suppression is most powerful when paired with a clear message map (prospect vs customer creative, offer eligibility rules).<\/li>\n<\/ul>\n\n\n\n

                    Tools Used for Suppression Audience<\/h2>\n\n\n\n

                    A Suppression Audience<\/strong> strategy is typically operationalized across a stack rather than a single tool:<\/p>\n\n\n\n

                      \n
                    • Ad platforms:<\/strong> where the exclusion is applied at campaign\/ad set\/ad group level; this is the execution point for Paid Marketing<\/strong> and Retargeting \/ Remarketing<\/strong>.<\/li>\n
                    • Analytics tools:<\/strong> to define conversion events, analyze funnels, and verify whether suppressed segments are still receiving impressions or clicks.<\/li>\n
                    • Tag management systems:<\/strong> to implement and maintain reliable event tracking (purchase, lead, subscription start).<\/li>\n
                    • CRM systems:<\/strong> to create lifecycle-based suppression (customer status, lead stage, opportunity stage).<\/li>\n
                    • Customer data platforms or data warehouses:<\/strong> to centralize identifiers, build consistent segments, and reduce duplication across channels.<\/li>\n
                    • Reporting dashboards:<\/strong> to monitor audience sizes, delivery, frequency, and CPA\/ROAS shifts after suppression changes.<\/li>\n
                    • Marketing automation systems:<\/strong> helpful for syncing lifecycle states and ensuring consistent \u201ccustomer vs prospect\u201d definitions across channels.<\/li>\n<\/ul>\n\n\n\n

                      Metrics Related to Suppression Audience<\/h2>\n\n\n\n

                      Suppression is an optimization lever, so measure both efficiency and unintended side effects:<\/p>\n\n\n\n

                        \n
                      • CPA \/ CPL \/ CAC:<\/strong> should improve when excluding low-intent or already-converted users.<\/li>\n
                      • ROAS \/ ROI:<\/strong> often increases as waste is reduced, particularly in Retargeting \/ Remarketing<\/strong>.<\/li>\n
                      • Conversion rate (CVR):<\/strong> may rise because the remaining audience is more relevant.<\/li>\n
                      • Frequency and reach:<\/strong> frequency should decrease for excluded segments; reach may shift toward net-new users.<\/li>\n
                      • Impression share \/ delivery stability:<\/strong> over-suppression can reduce delivery; watch for campaigns that stop spending.<\/li>\n
                      • Audience size and growth rate:<\/strong> key health metrics for suppression lists\u2014unexpected changes signal tracking or syncing problems.<\/li>\n
                      • Incrementality or lift (when possible):<\/strong> holdout testing or geo tests can reveal whether suppression reduced \u201cfree conversions\u201d being attributed to ads.<\/li>\n<\/ul>\n\n\n\n

                        Future Trends of Suppression Audience<\/h2>\n\n\n\n

                        Several forces are reshaping how Suppression Audience<\/strong> is built and maintained in Paid Marketing<\/strong>:<\/p>\n\n\n\n

                          \n
                        • More automation:<\/strong> platforms increasingly automate targeting and expansion, which makes explicit suppression even more important to prevent wasted spend.<\/li>\n
                        • AI-driven segmentation:<\/strong> predictive models can help identify low-value or high-churn risk segments to suppress from certain offers\u2014if governed carefully.<\/li>\n
                        • Privacy-driven measurement changes:<\/strong> reduced identifier availability and stricter consent expectations can lower match rates and make suppression harder; first-party data quality becomes a competitive advantage.<\/li>\n
                        • Lifecycle orchestration:<\/strong> suppression will increasingly function as part of journey management\u2014ensuring Retargeting \/ Remarketing<\/strong> aligns with email\/SMS\/in-app messaging and customer status.<\/li>\n
                        • Real-time data expectations:<\/strong> businesses will push toward near-real-time suppression updates (e.g., immediate post-purchase exclusion) to prevent bad experiences.<\/li>\n<\/ul>\n\n\n\n

                          Suppression Audience vs Related Terms<\/h2>\n\n\n\n

                          Suppression Audience vs Exclusion Targeting<\/h3>\n\n\n\n

                          They are closely related. \u201cExclusion targeting\u201d is the action taken in the ad platform; a Suppression Audience<\/strong> is the defined segment used to execute that exclusion. In practice, suppression is the strategy and the audience artifact; exclusion is the platform setting.<\/p>\n\n\n\n

                          Suppression Audience vs Negative Keywords (Search)<\/h3>\n\n\n\n

                          Negative keywords prevent ads from showing on certain search queries. A Suppression Audience<\/strong> prevents ads from showing to certain people. Both reduce waste in Paid Marketing<\/strong>, but they operate on different dimensions (query intent vs user identity\/behavior).<\/p>\n\n\n\n

                          Suppression Audience vs Audience Segmentation<\/h3>\n\n\n\n

                          Audience segmentation is the broader practice of dividing users into groups for targeting and messaging. A Suppression Audience<\/strong> is a specific segment designed for exclusion. Segmentation decides \u201cwho gets what\u201d; suppression decides \u201cwho should not get this.\u201d<\/p>\n\n\n\n

                          Who Should Learn Suppression Audience<\/h2>\n\n\n\n
                            \n
                          • Marketers:<\/strong> to improve efficiency, protect budget, and create cleaner funnel strategy in Paid Marketing<\/strong> and Retargeting \/ Remarketing<\/strong>.<\/li>\n
                          • Analysts:<\/strong> to diagnose wasted spend, validate audience logic, and measure the true effect of suppression on performance.<\/li>\n
                          • Agencies:<\/strong> to deliver better results, reduce client complaints about irrelevant ads, and implement scalable governance across accounts.<\/li>\n
                          • Business owners and founders:<\/strong> to ensure acquisition spend is not wasted on existing customers and that incentives don\u2019t erode margins.<\/li>\n
                          • Developers and data teams:<\/strong> to implement reliable conversion events, CRM syncing, and data pipelines that keep suppression accurate and timely.<\/li>\n<\/ul>\n\n\n\n

                            Summary of Suppression Audience<\/h2>\n\n\n\n

                            A Suppression Audience<\/strong> is an audience segment you intentionally exclude from ad delivery. It matters because it reduces waste, improves targeting relevance, and protects customer experience\u2014especially in Retargeting \/ Remarketing<\/strong>, where users can otherwise be chased long after they convert. In Paid Marketing<\/strong>, suppression is a practical control layer that helps align campaigns with lifecycle status, eligibility, and business economics. When built on accurate data and monitored consistently, it becomes one of the simplest ways to improve ROI without increasing spend.<\/p>\n\n\n\n

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

                            1) What is a Suppression Audience in simple terms?<\/h3>\n\n\n\n

                            A Suppression Audience<\/strong> is a list of people you exclude from seeing specific ads\u2014typically because they already converted, are already customers, or are not eligible for the offer.<\/p>\n\n\n\n

                            2) Why is Suppression Audience especially important for Retargeting \/ Remarketing?<\/h3>\n\n\n\n

                            Retargeting \/ Remarketing<\/strong> naturally re-engages visitors based on behavior signals. Without suppression, converters and customers can keep getting the same ads, causing wasted spend and a poor user experience.<\/p>\n\n\n\n

                            3) Should I suppress recent purchasers from all Paid Marketing campaigns?<\/h3>\n\n\n\n

                            Not always. Suppress them from acquisition or \u201cbuy now\u201d campaigns, but consider separate retention, onboarding, cross-sell, or loyalty campaigns with different messaging. Suppression should match the campaign objective.<\/p>\n\n\n\n

                            4) How long should a post-purchase suppression window be?<\/h3>\n\n\n\n

                            It depends on your repurchase cycle and product type. Common windows are 7, 14, or 30 days, but higher-consideration or durable goods may need longer. Validate with frequency, CVR, and customer feedback.<\/p>\n\n\n\n

                            5) What\u2019s the biggest risk when implementing Suppression Audience?<\/h3>\n\n\n\n

                            Over-suppression (excluding too many people) or stale data (not excluding people fast enough). Both can harm Paid Marketing<\/strong> performance\u2014either by limiting delivery or by wasting spend on the wrong users.<\/p>\n\n\n\n

                            6) How can I verify my suppression is working?<\/h3>\n\n\n\n

                            Track audience sizes over time, compare impressions\/clicks for excluded segments where reporting allows, and run controlled tests. Also validate the underlying data\u2014purchase events, CRM stages, and sync timing.<\/p>\n\n\n\n

                            7) Can Suppression Audience improve ROAS without changing creative?<\/h3>\n\n\n\n

                            Yes. Excluding low-relevance users often improves ROAS and CPA because budget concentrates on higher-intent users. In Retargeting \/ Remarketing<\/strong>, this can be one of the fastest ways to reduce waste.<\/p>\n","protected":false},"excerpt":{"rendered":"

                            Modern **Paid Marketing** is as much about who *not* to target as who to target. A **Suppression Audience** is the mechanism that makes that possible: it\u2019s a defined set of people you intentionally exclude from seeing certain ads. In **Retargeting \/ Remarketing**, suppression is especially important because the default tendency of retargeting is to \u201ckeep chasing\u201d anyone who touched your site or app\u2014even if they already converted, are unqualified, or are likely to have a poor experience.<\/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":[1912],"tags":[],"class_list":["post-10955","post","type-post","status-publish","format-standard","hentry","category-retargeting-remarketing"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/10955","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=10955"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/10955\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=10955"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=10955"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=10955"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}