{"id":10217,"date":"2026-03-29T02:05:16","date_gmt":"2026-03-29T02:05:16","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/custom-segment\/"},"modified":"2026-03-29T02:05:16","modified_gmt":"2026-03-29T02:05:16","slug":"custom-segment","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/custom-segment\/","title":{"rendered":"Custom Segment: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Display Advertising"},"content":{"rendered":"\n

Custom Segment is a way to define a specific audience group you want to reach (or analyze) using your own rules rather than relying only on default targeting options. In Paid Marketing<\/strong>, it\u2019s most commonly used to sharpen targeting, refine reporting, and improve how budget is allocated across campaigns. In Display Advertising<\/strong>, a Custom Segment<\/strong> often determines who<\/em> sees your ads across websites and apps, when<\/em> they see them, and which message<\/em> they receive.<\/p>\n\n\n\n

Custom Segment matters because modern Paid Marketing<\/strong> is increasingly constrained by privacy changes, signal loss, and rising competition. Brands that can build and maintain high-quality audience definitions\u2014grounded in real intent, first-party data, and clear measurement\u2014tend to achieve better efficiency and more reliable outcomes in Display Advertising<\/strong>.<\/p>\n\n\n\n

\n\n\n\n

What Is Custom Segment?<\/h2>\n\n\n\n

A Custom Segment<\/strong> is an audience definition created using marketer-selected criteria\u2014such as user behavior, intent signals, demographic\/firmographic attributes, engagement history, or customer data\u2014to group people for targeting, bidding, personalization, or analysis.<\/p>\n\n\n\n

At its core, the concept is simple: instead of accepting \u201cone-size-fits-all\u201d audiences, you build a segment that matches your business goals and your buyer journey. The business meaning is equally practical: a Custom Segment<\/strong> helps you spend more of your Paid Marketing<\/strong> budget on people who are more likely to convert, and less on people who are unlikely to engage.<\/p>\n\n\n\n

In Paid Marketing<\/strong>, Custom Segment typically sits between strategy and execution. Strategy defines who<\/em> you want and why<\/em>; the segment operationalizes those choices into a targetable and measurable audience. In Display Advertising<\/strong>, it influences reach, frequency, creative relevance, and ultimately the unit economics of campaigns (CPM, CPC, CPA, and return).<\/p>\n\n\n\n

\n\n\n\n

Why Custom Segment Matters in Paid Marketing<\/h2>\n\n\n\n

A well-designed Custom Segment<\/strong> is a strategic advantage because it improves decision-making at three levels: targeting, messaging, and measurement. In Paid Marketing<\/strong>, those three levers often determine whether performance scales or stalls.<\/p>\n\n\n\n

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

    \n
  • Sharper relevance at scale:<\/strong> Display Advertising<\/strong> can reach massive audiences; Custom Segment helps ensure that reach is not wasted.<\/li>\n
  • Better budget efficiency:<\/strong> More precise audiences reduce spend on low-intent impressions and improve conversion rates.<\/li>\n
  • Faster learning cycles:<\/strong> Segments create clearer \u201ctest cells\u201d for creative, landing pages, and offers\u2014making experimentation more scientific.<\/li>\n
  • Defensibility:<\/strong> Competitors can copy creatives and bids, but they can\u2019t easily replicate your first-party data strategy and segmentation logic.<\/li>\n
  • Cleaner reporting:<\/strong> When segments are defined intentionally, performance analysis becomes less ambiguous and more actionable.<\/li>\n<\/ul>\n\n\n\n

    In competitive Paid Marketing<\/strong> categories (SaaS, eCommerce, finance, B2B services), segmentation quality can be the difference between sustainable CAC and runaway costs.<\/p>\n\n\n\n

    \n\n\n\n

    How Custom Segment Works<\/h2>\n\n\n\n

    A Custom Segment<\/strong> is both a concept and a workflow. In practice, it usually follows a loop that looks like this:<\/p>\n\n\n\n

      \n
    1. \n

      Inputs (signals and criteria)<\/strong>\n – First-party data (site behavior, CRM status, product usage, email engagement)\n – Contextual signals (content categories, page topics)\n – Intent proxies (search behavior, content consumption patterns)\n – Exclusions (existing customers, recent converters, low-quality traffic sources)<\/p>\n<\/li>\n

    2. \n

      Processing (definition and validation)<\/strong>\n – Translate business goals into rules (e.g., \u201cvisited pricing page + viewed docs + no trial started\u201d)\n – Choose time windows (7\/30\/90 days) and frequency thresholds (e.g., 2+ visits)\n – Validate size, match rates, and expected reach in Display Advertising<\/strong><\/p>\n<\/li>\n

    3. \n

      Execution (activation in Paid Marketing)<\/strong>\n – Use the Custom Segment<\/strong> for targeting, observation, bid adjustments, or creative personalization\n – Layer with brand safety, geography, device, and frequency controls as needed<\/p>\n<\/li>\n

    4. \n

      Outputs (measurement and iteration)<\/strong>\n – Compare performance vs. baseline audiences\n – Evaluate incrementality where possible\n – Refine criteria based on conversion quality, not just volume<\/p>\n<\/li>\n<\/ol>\n\n\n\n

      This loop matters because segmentation is never \u201cset and forget.\u201d In Paid Marketing<\/strong>, what worked last quarter can degrade as markets, creatives, and user behavior shift.<\/p>\n\n\n\n

      \n\n\n\n

      Key Components of Custom Segment<\/h2>\n\n\n\n

      A reliable Custom Segment<\/strong> depends on more than audience rules. The strongest implementations include these components:<\/p>\n\n\n\n

      Data inputs<\/h3>\n\n\n\n
        \n
      • First-party behavioral data:<\/strong> pageviews, events, product actions, lead form steps<\/li>\n
      • Customer data:<\/strong> lifecycle stage, plan tier, lead score, churn risk indicators<\/li>\n
      • Contextual signals:<\/strong> page content themes or placement categories relevant to Display Advertising<\/strong><\/li>\n
      • Suppression data:<\/strong> converted users, existing customers, internal traffic, low-quality placements<\/li>\n<\/ul>\n\n\n\n

        Systems and processes<\/h3>\n\n\n\n
          \n
        • Tagging and event schema:<\/strong> consistent event names and parameters (crucial for accurate segment membership)<\/li>\n
        • Identity and consent management:<\/strong> compliance-friendly collection and use of audience data<\/li>\n
        • Documentation:<\/strong> clear definitions (who is in\/out, time windows, known limitations)<\/li>\n<\/ul>\n\n\n\n

          Governance and responsibilities<\/h3>\n\n\n\n
            \n
          • Marketing sets goals and hypotheses; analytics validates; operations implements; legal\/privacy reviews data use.<\/li>\n
          • Naming conventions and change control prevent \u201csegment sprawl\u201d (dozens of unclear segments that nobody trusts).<\/li>\n<\/ul>\n\n\n\n

            Metrics foundation<\/h3>\n\n\n\n

            A Custom Segment<\/strong> should be tied to a measurable outcome\u2014qualified leads, pipeline, revenue, retention\u2014not only clicks or impressions.<\/p>\n\n\n\n

            \n\n\n\n

            Types of Custom Segment<\/h2>\n\n\n\n

            \u201cTypes\u201d vary by platform, but the most useful distinctions are conceptual and transferable across Paid Marketing<\/strong> and Display Advertising<\/strong>:<\/p>\n\n\n\n

            1) Behavior-based segments<\/h3>\n\n\n\n

            Built from on-site or in-app actions (e.g., viewed pricing, started checkout, watched a demo video). These tend to perform well because they reflect real intent.<\/p>\n\n\n\n

            2) Customer-list segments (first-party lists)<\/h3>\n\n\n\n

            Created from CRM or customer databases (prospects, customers, churned users). Commonly used for retention, upsell, suppression, and lookalike modeling (where available).<\/p>\n\n\n\n

            3) Contextual or content-aligned segments<\/h3>\n\n\n\n

            Built around the content environment where ads appear (topics, categories, placement themes). This is increasingly relevant as privacy constraints reshape Display Advertising<\/strong>.<\/p>\n\n\n\n

            4) Lifecycle-stage segments<\/h3>\n\n\n\n

            Mapped to funnel steps (awareness, consideration, activation, expansion). This improves creative relevance and reduces wasted frequency.<\/p>\n\n\n\n

            5) Hybrid segments<\/h3>\n\n\n\n

            Combine behaviors + customer data + context. Hybrid Custom Segment<\/strong> designs often outperform single-signal segments because they reduce false positives.<\/p>\n\n\n\n

            \n\n\n\n

            Real-World Examples of Custom Segment<\/h2>\n\n\n\n

            Example 1: B2B SaaS \u201chigh-intent evaluators\u201d (prospecting + retargeting)<\/h3>\n\n\n\n

            A SaaS company builds a Custom Segment<\/strong> of users who visited the pricing page, read two help-center articles, and returned within 14 days\u2014excluding existing customers and current trials. In Paid Marketing<\/strong>, they run Display Advertising<\/strong> with evaluation-focused creative (case studies, security pages) and cap frequency to avoid fatigue.<\/p>\n\n\n\n

            Outcome focus:<\/strong> higher lead quality, improved trial-start rate, fewer wasted impressions on casual readers.<\/p>\n\n\n\n

            Example 2: eCommerce \u201cmargin-protected cart abandoners\u201d<\/h3>\n\n\n\n

            A retailer creates a Custom Segment<\/strong> of cart abandoners who viewed premium categories and have a historical average order value above a threshold. They exclude users who already used a discount recently. In Display Advertising<\/strong>, they test dynamic creative with value messaging (free shipping, returns) rather than aggressive discounting.<\/p>\n\n\n\n

            Outcome focus:<\/strong> protect margin while recovering revenue; improve ROAS and contribution profit.<\/p>\n\n\n\n

            Example 3: Local services \u201cservice-area + urgency\u201d<\/h3>\n\n\n\n

            A home services business defines a Custom Segment<\/strong> using geography (service ZIPs), time-of-day signals, and visits to emergency service pages. In Paid Marketing<\/strong>, they prioritize Display Advertising<\/strong> placements that are mobile-heavy and schedule ads when call center coverage is highest.<\/p>\n\n\n\n

            Outcome focus:<\/strong> better conversion-to-call rate and fewer leads outside the service area.<\/p>\n\n\n\n

            \n\n\n\n

            Benefits of Using Custom Segment<\/h2>\n\n\n\n

            A well-managed Custom Segment<\/strong> improves both performance and operational clarity:<\/p>\n\n\n\n

              \n
            • Higher conversion rates:<\/strong> better message-market fit and fewer irrelevant impressions in Display Advertising<\/strong><\/li>\n
            • Lower CPA and less waste:<\/strong> reduced spend on users unlikely to convert<\/li>\n
            • Stronger creative performance:<\/strong> tailored creative themes per segment typically lift CTR and post-click engagement<\/li>\n
            • Improved learning and attribution clarity:<\/strong> segment-level reporting reveals what is working and why<\/li>\n
            • Better customer experience:<\/strong> fewer repetitive ads, more relevant offers, smarter suppression of recent converters<\/li>\n<\/ul>\n\n\n\n

              In Paid Marketing<\/strong>, these benefits compound: improved efficiency frees budget for testing and scaling.<\/p>\n\n\n\n

              \n\n\n\n

              Challenges of Custom Segment<\/h2>\n\n\n\n

              Custom Segment is powerful, but it can fail when data, measurement, or strategy is weak:<\/p>\n\n\n\n

                \n
              • Data quality issues:<\/strong> inconsistent tagging, missing events, and duplicate identifiers can corrupt segment membership.<\/li>\n
              • Over-segmentation:<\/strong> too many small segments reduce reach, slow learning, and increase operational overhead in Display Advertising<\/strong>.<\/li>\n
              • Privacy and consent constraints:<\/strong> rules around data usage and consent may limit what can be collected or activated.<\/li>\n
              • Attribution bias:<\/strong> retargeting-heavy segments can look great in last-click reporting while adding limited incremental value.<\/li>\n
              • Audience decay:<\/strong> intent fades; a 30-day window may be too long for some products and too short for others.<\/li>\n
              • Platform differences:<\/strong> the same Custom Segment<\/strong> concept may behave differently across networks due to inventory, identity resolution, and modeling.<\/li>\n<\/ul>\n\n\n\n
                \n\n\n\n

                Best Practices for Custom Segment<\/h2>\n\n\n\n

                Build segments from a clear hypothesis<\/h3>\n\n\n\n

                Define: Who is this for? What action do we want? Why will this group respond differently?<\/em> In Paid Marketing<\/strong>, a segment without a hypothesis becomes a reporting label, not a performance lever.<\/p>\n\n\n\n

                Start broad, then refine<\/h3>\n\n\n\n

                Begin with a segment large enough to learn from. Then add constraints (frequency, recency, intent) based on results.<\/p>\n\n\n\n

                Use recency and intent together<\/h3>\n\n\n\n

                Recency (e.g., last 7 days) often predicts conversion better than sheer volume of events. Combine with intent actions (pricing, demo, checkout) for higher signal.<\/p>\n\n\n\n

                Always define exclusions<\/h3>\n\n\n\n

                Excluding converters, customers, employees, and low-quality sources protects budget and reduces negative user experiences in Display Advertising<\/strong>.<\/p>\n\n\n\n

                Keep naming and documentation strict<\/h3>\n\n\n\n

                Include criteria, window, and purpose in the name (e.g., \u201cPricingVisitors_14d_NoTrial\u201d). Document assumptions and known limitations.<\/p>\n\n\n\n

                Measure incrementality when feasible<\/h3>\n\n\n\n

                Use holdouts, geo tests, or controlled experiments to validate whether a Custom Segment<\/strong> truly adds value beyond baseline targeting.<\/p>\n\n\n\n

                \n\n\n\n

                Tools Used for Custom Segment<\/h2>\n\n\n\n

                You don\u2019t need a specific vendor to understand the tool categories that support Custom Segment<\/strong> across Paid Marketing<\/strong> and Display Advertising<\/strong>:<\/p>\n\n\n\n

                  \n
                • Analytics tools:<\/strong> define audiences from events, analyze segment performance, and validate funnels.<\/li>\n
                • Tag management systems:<\/strong> manage pixels and event schemas without constant engineering releases.<\/li>\n
                • Customer data platforms (CDP) \/ data pipelines:<\/strong> unify customer and behavioral data for cleaner segmentation.<\/li>\n
                • CRM systems:<\/strong> provide lifecycle stage, lead status, and customer lists for activation and suppression.<\/li>\n
                • Ad platforms and DSPs:<\/strong> activate audiences, control frequency, and manage reach in Display Advertising<\/strong>.<\/li>\n
                • Reporting dashboards \/ BI:<\/strong> standardize segment reporting and connect media metrics to business outcomes.<\/li>\n
                • Marketing automation tools:<\/strong> coordinate messaging across channels so segment-based ads align with email and lifecycle communications.<\/li>\n<\/ul>\n\n\n\n
                  \n\n\n\n

                  Metrics Related to Custom Segment<\/h2>\n\n\n\n

                  To judge a Custom Segment<\/strong>, track both media efficiency and business impact:<\/p>\n\n\n\n

                  Performance and efficiency<\/h3>\n\n\n\n
                    \n
                  • CPM, CPC, CPA:<\/strong> cost trends by segment<\/li>\n
                  • CTR and view-through engagement indicators:<\/strong> signals of creative relevance in Display Advertising<\/strong><\/li>\n
                  • Conversion rate (CVR):<\/strong> segment-level CVR vs. baseline audiences<\/li>\n
                  • Frequency and reach:<\/strong> ensure you\u2019re not saturating a small segment<\/li>\n<\/ul>\n\n\n\n

                    Quality and downstream outcomes<\/h3>\n\n\n\n
                      \n
                    • Lead quality rate:<\/strong> MQL-to-SQL, SQL-to-opportunity, or qualified-call rate<\/li>\n
                    • Revenue per user \/ ROAS:<\/strong> ideally tied to incrementality, not only attribution<\/li>\n
                    • Customer acquisition cost (CAC) and payback:<\/strong> especially important in subscription businesses<\/li>\n<\/ul>\n\n\n\n

                      Diagnostic indicators<\/h3>\n\n\n\n
                        \n
                      • Audience size and match rate:<\/strong> whether activation is feasible and stable<\/li>\n
                      • Overlap between segments:<\/strong> too much overlap can muddy results and inflate reported lift<\/li>\n<\/ul>\n\n\n\n
                        \n\n\n\n

                        Future Trends of Custom Segment<\/h2>\n\n\n\n

                        Custom Segment design is evolving as the ecosystem changes:<\/p>\n\n\n\n

                          \n
                        • More modeling, less deterministic targeting:<\/strong> As identity signals become less available, Paid Marketing<\/strong> will rely more on modeled audiences and aggregated reporting.<\/li>\n
                        • Contextual resurgence in Display Advertising:<\/strong> Content-aligned segmentation is gaining importance as a privacy-resilient alternative to user-level tracking.<\/li>\n
                        • AI-assisted segmentation:<\/strong> AI will help propose segment rules, detect audience decay, and recommend exclusions\u2014but marketers still need governance to prevent \u201cblack box\u201d decisions.<\/li>\n
                        • First-party data maturity:<\/strong> Stronger event schemas, consent practices, and lifecycle data integration will separate high-performing teams from the rest.<\/li>\n
                        • Incrementality as a standard:<\/strong> Expect more emphasis on experimentation to validate whether Custom Segment<\/strong> strategies truly drive net-new outcomes.<\/li>\n<\/ul>\n\n\n\n
                          \n\n\n\n

                          Custom Segment vs Related Terms<\/h2>\n\n\n\n

                          Custom Segment vs Audience Segment<\/h3>\n\n\n\n

                          An audience segment can be any predefined grouping (often provided by platforms). A Custom Segment<\/strong> is explicitly built by the advertiser using chosen inputs and rules, making it more aligned to specific business objectives in Paid Marketing<\/strong>.<\/p>\n\n\n\n

                          Custom Segment vs Remarketing\/Retargeting Audience<\/h3>\n\n\n\n

                          Retargeting audiences are usually based on visits or engagements and are often narrower. A Custom Segment<\/strong> can include retargeting logic, but it can also support prospecting, exclusions, lifecycle messaging, or contextual strategies in Display Advertising<\/strong>.<\/p>\n\n\n\n

                          Custom Segment vs Lookalike\/Similar Audience<\/h3>\n\n\n\n

                          Lookalike audiences are model-generated groups that resemble a seed list. A Custom Segment<\/strong> is rule-defined. In practice, teams often build a high-quality Custom Segment<\/strong> as a seed, then use modeling (where available) to scale reach.<\/p>\n\n\n\n

                          \n\n\n\n

                          Who Should Learn Custom Segment<\/h2>\n\n\n\n
                            \n
                          • Marketers:<\/strong> to improve targeting, creative relevance, and budget efficiency in Paid Marketing<\/strong>.<\/li>\n
                          • Analysts:<\/strong> to design cleaner experiments, interpret segment-level performance, and reduce attribution errors.<\/li>\n
                          • Agencies:<\/strong> to build reusable segmentation frameworks and demonstrate measurable lifts in Display Advertising<\/strong>.<\/li>\n
                          • Business owners and founders:<\/strong> to understand why some campaigns scale profitably while others burn budget.<\/li>\n
                          • Developers:<\/strong> to implement reliable event tracking, data pipelines, and consent-aware activation that makes Custom Segment<\/strong> feasible.<\/li>\n<\/ul>\n\n\n\n
                            \n\n\n\n

                            Summary of Custom Segment<\/h2>\n\n\n\n

                            Custom Segment<\/strong> is a marketer-defined audience group built from selected criteria such as behavior, customer data, and contextual signals. It matters because it improves relevance, efficiency, and learning velocity in Paid Marketing<\/strong>, especially where broad targeting wastes spend. In Display Advertising<\/strong>, Custom Segment helps control who sees ads, how often, and with what message\u2014supporting better performance and a better user experience when paired with strong measurement and governance.<\/p>\n\n\n\n

                            \n\n\n\n

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

                            1) What is a Custom Segment used for?<\/h3>\n\n\n\n

                            A Custom Segment<\/strong> is used to define a specific audience for targeting, exclusions, bidding adjustments, personalization, or performance analysis. In Paid Marketing<\/strong>, it helps you align ad spend with real intent and business goals rather than generic audience buckets.<\/p>\n\n\n\n

                            2) Is Custom Segment only for retargeting?<\/h3>\n\n\n\n

                            No. Retargeting is one common use, but Custom Segment<\/strong> can also support prospecting (e.g., contextual\/intent-driven segments), lifecycle campaigns (e.g., churn-risk users), and suppression (e.g., exclude recent purchasers) in Display Advertising<\/strong>.<\/p>\n\n\n\n

                            3) How do I choose the right time window for a Custom Segment?<\/h3>\n\n\n\n

                            Choose a window that matches your buying cycle. Short windows (7\u201314 days) often work for high-intent actions; longer windows (30\u201390 days) may fit longer consideration cycles. Test multiple windows and compare CPA, conversion quality, and frequency in Paid Marketing<\/strong>.<\/p>\n\n\n\n

                            4) What data is most reliable for building a Custom Segment?<\/h3>\n\n\n\n

                            First-party behavioral events and CRM lifecycle status are usually the most reliable because they reflect direct interactions with your business. Contextual signals can also be strong in Display Advertising<\/strong>, especially when user-level data is limited.<\/p>\n\n\n\n

                            5) How does Custom Segment affect Display Advertising results?<\/h3>\n\n\n\n

                            In Display Advertising<\/strong>, Custom Segment<\/strong> influences who is eligible to see your ads, which impacts reach, frequency, CTR, conversion rate, and overall efficiency. Better-defined segments typically reduce wasted impressions and improve message relevance.<\/p>\n\n\n\n

                            6) What\u2019s a common mistake when creating a Custom Segment?<\/h3>\n\n\n\n

                            Over-segmentation is common: creating many small segments that don\u2019t have enough reach to learn or scale. Another frequent issue is poor exclusions, which can waste Paid Marketing<\/strong> budget on existing customers or recent converters.<\/p>\n\n\n\n

                            7) How do I know if a Custom Segment is actually incremental?<\/h3>\n\n\n\n

                            Use controlled tests where possible\u2014holdouts, geo experiments, or A\/B comparisons against baseline targeting. Look beyond last-click conversions and evaluate downstream quality (qualified leads, pipeline, revenue) to confirm the Custom Segment<\/strong> is driving net-new impact.<\/p>\n","protected":false},"excerpt":{"rendered":"

                            Custom Segment is a way to define a specific audience group you want to reach (or analyze) using your own rules rather than relying only on default targeting options. In **Paid Marketing**, it\u2019s most commonly used to sharpen targeting, refine reporting, and improve how budget is allocated across campaigns. In **Display Advertising**, a **Custom Segment** often determines *who* sees your ads across websites and apps, *when* they see them, and *which message* they receive.<\/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-10217","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\/10217","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=10217"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/10217\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=10217"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=10217"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=10217"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}