{"id":10194,"date":"2026-03-29T01:16:25","date_gmt":"2026-03-29T01:16:25","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/affinity-segment\/"},"modified":"2026-03-29T01:16:25","modified_gmt":"2026-03-29T01:16:25","slug":"affinity-segment","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/affinity-segment\/","title":{"rendered":"Affinity Segment: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Display Advertising"},"content":{"rendered":"\n

An Affinity Segment<\/strong> is a way to group people based on their long-term interests and lifestyle signals\u2014what they consistently read, watch, search for, and engage with over time. In Paid Marketing<\/strong>, it\u2019s commonly used to reach audiences who are likely to care about a category (for example, \u201coutdoor enthusiasts\u201d or \u201cbusiness travelers\u201d) even if they haven\u2019t shown immediate purchase intent.<\/p>\n\n\n\n

In Display Advertising<\/strong>, an Affinity Segment helps advertisers shift from \u201cspray and pray\u201d impressions to more relevant targeting, improving the chances that creative, offers, and messaging land with the right audience. It matters because modern Paid Marketing<\/strong> is increasingly about efficiency, relevance, and responsible data usage\u2014especially as privacy changes limit some forms of tracking and audience identification.<\/p>\n\n\n\n

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

An Affinity Segment<\/strong> is an audience classification based on sustained<\/strong> interest patterns rather than one-off behaviors. Instead of targeting someone because they visited a specific product page yesterday, you target them because their overall digital behavior suggests a durable interest in a theme (fitness, technology, parenting, travel, finance, and so on).<\/p>\n\n\n\n

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

    \n
  • Interest signals accumulate over time<\/strong><\/li>\n
  • Those signals are modeled into a stable audience profile<\/strong><\/li>\n
  • Advertisers use that profile for reach, relevance, and efficiency<\/strong><\/li>\n<\/ul>\n\n\n\n

    The business meaning of an Affinity Segment is \u201cprobable category fit.\u201d In Paid Marketing<\/strong>, it\u2019s most valuable when you want to build awareness, drive qualified traffic, or broaden prospecting beyond strict intent-based targeting. In Display Advertising<\/strong>, it acts as a targeting layer that influences who sees your banners, native units, and other visual placements across sites and apps.<\/p>\n\n\n\n

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

    An Affinity Segment matters because it helps align spend with people who are more likely to care\u2014without requiring that they are actively shopping right now. That strategic role is especially important when you\u2019re:<\/p>\n\n\n\n

      \n
    • Launching a new product and need qualified reach<\/strong><\/li>\n
    • Expanding into new regions or categories<\/li>\n
    • Building upper-funnel demand that later converts through retargeting or search<\/li>\n<\/ul>\n\n\n\n

      In Paid Marketing<\/strong>, using an Affinity Segment can improve outcomes such as:<\/p>\n\n\n\n

        \n
      • Higher engagement rates<\/strong> (more clicks, deeper site sessions)<\/li>\n
      • More efficient CPMs<\/strong> because wasted impressions drop<\/li>\n
      • Better creative performance<\/strong> when messaging matches interests<\/li>\n
      • Stronger assisted conversions<\/strong> by bringing in better-fit users earlier<\/li>\n<\/ul>\n\n\n\n

        It can also provide competitive advantage. Many brands still over-index on broad demographic buying or last-click tactics. A well-designed Affinity Segment strategy\u2014paired with strong creative testing\u2014can create a more resilient funnel for Display Advertising<\/strong> and beyond.<\/p>\n\n\n\n

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

        While implementations vary by platform, an Affinity Segment typically works in practice through a consistent cycle:<\/p>\n\n\n\n

          \n
        1. \n

          Signals are collected<\/strong>\n Interest-related signals can include content consumption patterns, topic engagement, app usage categories, repeated searches, or recurring site visits. The key is that signals represent ongoing<\/strong> interest, not a single moment.<\/p>\n<\/li>\n

        2. \n

          Audiences are modeled and classified<\/strong>\n Systems aggregate signals and infer stable themes. Many modern solutions use probabilistic modeling to determine whether a user belongs in an Affinity Segment (for example, \u201chome improvement enthusiasts\u201d).<\/p>\n<\/li>\n

        3. \n

          Campaigns apply the segment for targeting or observation<\/strong>\n In Paid Marketing<\/strong>, you can target an Affinity Segment directly, use it as an audience layer (to narrow or expand reach), or use it in \u201cobservation\u201d mode to measure how the segment performs without restricting delivery.<\/p>\n<\/li>\n

        4. \n

          Performance and quality outcomes are measured<\/strong>\n You evaluate outcomes such as cost efficiency, engagement, conversion quality, and incrementality. For Display Advertising<\/strong>, this often includes assessing view-through influence and downstream behavior.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

          In short: Affinity Segment targeting is about probable interest fit<\/strong>, applied at scale, measured through performance and quality metrics.<\/p>\n\n\n\n

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

          A strong Affinity Segment approach is not only \u201cchoose a segment and run ads.\u201d It includes multiple components across data, operations, and measurement.<\/p>\n\n\n\n

          Data inputs<\/h3>\n\n\n\n

          Common inputs include:<\/p>\n\n\n\n

            \n
          • Content topics consumed repeatedly<\/li>\n
          • Category-level browsing behavior<\/li>\n
          • Search patterns over longer windows<\/li>\n
          • Engagement signals (time on content, repeat visits, subscriptions)<\/li>\n
          • Contextual signals (content categories where ads are shown)<\/li>\n<\/ul>\n\n\n\n

            Systems and processes<\/h3>\n\n\n\n

            To operationalize an Affinity Segment in Paid Marketing<\/strong>, teams typically rely on:<\/p>\n\n\n\n

              \n
            • Audience definition and documentation (what the segment represents, what it excludes)<\/li>\n
            • Campaign structuring rules (where the segment is used in Display Advertising<\/strong> vs other channels)<\/li>\n
            • Creative mapping (which messages are designed for which affinity)<\/li>\n<\/ul>\n\n\n\n

              Metrics and measurement<\/h3>\n\n\n\n

              You\u2019ll track short-term performance (CTR, CPC) alongside quality and business outcomes (conversion rate, CAC, LTV proxies). Good governance ensures results are interpreted correctly, especially when attribution is imperfect.<\/p>\n\n\n\n

              Governance and responsibilities<\/h3>\n\n\n\n

              Affinity targeting touches multiple teams:<\/p>\n\n\n\n

                \n
              • Media buyers manage activation and budgets<\/li>\n
              • Analysts validate lift and segment quality<\/li>\n
              • Creative teams align messaging with interest profiles<\/li>\n
              • Legal\/privacy stakeholders ensure compliant data use and retention practices<\/li>\n<\/ul>\n\n\n\n

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

                \u201cTypes\u201d aren\u2019t always formally standardized across the industry, but there are practical distinctions that affect how you use an Affinity Segment in Display Advertising<\/strong> and broader Paid Marketing<\/strong>.<\/p>\n\n\n\n

                1) Predefined (platform) affinity segments<\/h3>\n\n\n\n

                Many ad ecosystems provide ready-made Affinity Segment options (for example, lifestyle or hobby clusters). These are easy to activate and useful for fast testing, but you may have less transparency into exactly how membership is determined.<\/p>\n\n\n\n

                2) Custom affinity-style audiences (first-party + behavioral modeling)<\/h3>\n\n\n\n

                Brands often build custom audiences that behave like an Affinity Segment by combining first-party data (site behavior, CRM lists, content engagement) with modeled interest themes. This is powerful but requires clear definitions and ongoing maintenance.<\/p>\n\n\n\n

                3) Broad vs narrow affinity<\/h3>\n\n\n\n
                  \n
                • Broad affinity<\/strong>: large audience size, good for reach and awareness; may dilute relevance.<\/li>\n
                • Narrow affinity<\/strong>: smaller, more targeted; can improve efficiency but may limit scale.<\/li>\n<\/ul>\n\n\n\n

                  4) Prospecting vs retention use<\/h3>\n\n\n\n

                  Although Affinity Segment targeting is often \u201cupper funnel,\u201d some brands use affinity groupings to tailor retention messaging (for example, matching content recommendations or cross-sell offers to interest themes).<\/p>\n\n\n\n

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

                  Example 1: Fitness apparel brand prospecting in Display Advertising<\/h3>\n\n\n\n

                  A fitness apparel company uses an Affinity Segment aligned with \u201chealth and fitness enthusiasts\u201d to drive upper-funnel traffic. In Display Advertising<\/strong>, they run multiple creatives: performance gear, lifestyle imagery, and seasonal promotions. They measure not just CTR, but add-to-cart rate and new user conversion rate to ensure the segment brings qualified shoppers, not just clickers.<\/p>\n\n\n\n

                  Example 2: B2B SaaS targeting business decision-makers by interest themes<\/h3>\n\n\n\n

                  A SaaS company selling project management software tests an Affinity Segment centered on productivity, business technology, and entrepreneurship content. While the segment won\u2019t perfectly isolate job titles, it often increases the share of visitors consuming pricing and demo pages. In Paid Marketing<\/strong>, they pair affinity targeting with landing pages tailored to use cases (agencies, operations, IT teams).<\/p>\n\n\n\n

                  Example 3: Travel brand awareness with interest-based creative matching<\/h3>\n\n\n\n

                  A travel company targets an Affinity Segment like \u201cfrequent travelers\u201d or \u201coutdoor adventure seekers.\u201d In Display Advertising<\/strong>, creative and destination imagery match the affinity theme (city breaks vs hiking trips). The team measures lift in brand searches and email signups, using these as mid-funnel indicators of real interest.<\/p>\n\n\n\n

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

                  Using an Affinity Segment well can produce meaningful improvements in Paid Marketing<\/strong>:<\/p>\n\n\n\n

                    \n
                  • Better relevance at scale:<\/strong> You reach people more likely to care about the category.<\/li>\n
                  • Efficiency gains:<\/strong> Lower wasted impressions can improve CPM efficiency and reduce unqualified clicks.<\/li>\n
                  • Stronger creative performance:<\/strong> Ads aligned to stable interests often outperform generic messages in Display Advertising<\/strong>.<\/li>\n
                  • Faster testing and learning:<\/strong> Predefined affinity options can quickly validate which audiences respond.<\/li>\n
                  • Healthier funnel building:<\/strong> Affinity prospecting can feed retargeting and search capture with higher-quality users.<\/li>\n<\/ul>\n\n\n\n

                    When combined with good measurement, an Affinity Segment can also improve audience experience by reducing irrelevant ad frequency and increasing message fit.<\/p>\n\n\n\n

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

                    Affinity-based targeting is useful, but it comes with real limitations you should plan for.<\/p>\n\n\n\n

                    Signal ambiguity and misclassification<\/h3>\n\n\n\n

                    People\u2019s interests are multi-dimensional. Someone reading about fitness might be researching for a gift, a school project, or a short-term goal. An Affinity Segment is probabilistic, not certain.<\/p>\n\n\n\n

                    Overlap and audience duplication<\/h3>\n\n\n\n

                    Affinity audiences can overlap significantly (for example, \u201ctravel\u201d and \u201cluxury shoppers\u201d). In Paid Marketing<\/strong>, this can lead to self-competition and unclear attribution unless you manage exclusions and budget separation carefully.<\/p>\n\n\n\n

                    Measurement and attribution limitations<\/h3>\n\n\n\n

                    In Display Advertising<\/strong>, view-through and assisted influence are hard to quantify. Without lift testing or strong incrementality methods, it\u2019s easy to over- or under-credit an Affinity Segment.<\/p>\n\n\n\n

                    Privacy and data constraints<\/h3>\n\n\n\n

                    As privacy rules and platform policies evolve, audience availability and precision can change. Relying on a single targeting method is risky; Affinity Segment should be one tool in a diversified strategy.<\/p>\n\n\n\n

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

                    Start with a clear goal<\/h3>\n\n\n\n

                    Use an Affinity Segment differently depending on the objective:<\/p>\n\n\n\n

                      \n
                    • Awareness: maximize qualified reach and attention<\/li>\n
                    • Consideration: drive content engagement or lead magnets<\/li>\n
                    • Conversion: pair affinity with stronger intent signals or retargeting layers<\/li>\n<\/ul>\n\n\n\n

                      Map creatives to affinity themes<\/h3>\n\n\n\n

                      In Display Advertising<\/strong>, creative-message fit matters. Develop at least 2\u20134 variants aligned to the affinity\u2019s motivations, not just a logo swap.<\/p>\n\n\n\n

                      Use controlled tests<\/h3>\n\n\n\n

                      Run A\/B tests such as:<\/p>\n\n\n\n

                        \n
                      • Affinity Segment vs broad targeting<\/li>\n
                      • Affinity Segment A vs Affinity Segment B<\/li>\n
                      • Affinity-only vs affinity + contextual placements<\/li>\n<\/ul>\n\n\n\n

                        Keep budgets and flight lengths comparable so results are interpretable.<\/p>\n\n\n\n

                        Watch frequency and fatigue<\/h3>\n\n\n\n

                        Affinity audiences can be large; uncontrolled frequency can waste spend. Set frequency guidance, refresh creative, and monitor incremental performance drops.<\/p>\n\n\n\n

                        Validate quality, not just clicks<\/h3>\n\n\n\n

                        Clicks can be misleading. In Paid Marketing<\/strong>, judge an Affinity Segment by downstream behaviors: engaged sessions, lead quality, conversion rate, and repeat visit patterns.<\/p>\n\n\n\n

                        Build learning loops<\/h3>\n\n\n\n

                        Document which Affinity Segment performs for which product line, region, or creative theme. This becomes a playbook that improves results over time.<\/p>\n\n\n\n

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

                        Affinity Segment activation and measurement typically spans several tool categories in Paid Marketing<\/strong> and Display Advertising<\/strong>:<\/p>\n\n\n\n

                          \n
                        • Ad platforms and DSPs:<\/strong> Where you select, apply, and optimize Affinity Segment targeting across inventory.<\/li>\n
                        • Web analytics tools:<\/strong> To evaluate audience quality (engagement, funnel progression, conversion paths).<\/li>\n
                        • Tag management systems:<\/strong> To ensure consistent event tracking and audience rule deployment.<\/li>\n
                        • Customer data platforms (CDPs) and CRM systems:<\/strong> To connect first-party signals (leads, customers) to audience strategies and suppression lists.<\/li>\n
                        • Experimentation and lift measurement tools:<\/strong> To test incrementality, brand lift, and conversion lift where available.<\/li>\n
                        • Reporting dashboards and BI tools:<\/strong> To combine media delivery, on-site behavior, and revenue\/lead outcomes into a single view.<\/li>\n<\/ul>\n\n\n\n

                          If you want Affinity Segment targeting to be more than a checkbox, invest in measurement plumbing and consistent naming conventions across campaigns and reports.<\/p>\n\n\n\n

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

                          To judge Affinity Segment effectiveness, use a mix of delivery, engagement, conversion, and business-quality metrics.<\/p>\n\n\n\n

                          Delivery and efficiency (media metrics)<\/h3>\n\n\n\n
                            \n
                          • CPM (cost per thousand impressions)<\/li>\n
                          • CPC (cost per click)<\/li>\n
                          • Reach and frequency distribution<\/li>\n
                          • Viewability rate (important in Display Advertising<\/strong>)<\/li>\n<\/ul>\n\n\n\n

                            Engagement and intent indicators<\/h3>\n\n\n\n
                              \n
                            • CTR (click-through rate) and post-click engagement quality<\/li>\n
                            • Landing page engagement (bounce rate, time on site, pages per session)<\/li>\n
                            • Micro-conversions (newsletter signup, content download, video completion)<\/li>\n<\/ul>\n\n\n\n

                              Conversion and ROI metrics<\/h3>\n\n\n\n
                                \n
                              • Conversion rate (CVR)<\/li>\n
                              • CPA\/CAC (cost per acquisition\/customer acquisition cost)<\/li>\n
                              • ROAS (return on ad spend) where revenue tracking is reliable<\/li>\n<\/ul>\n\n\n\n

                                Quality and brand signals<\/h3>\n\n\n\n
                                  \n
                                • New vs returning visitor ratio<\/li>\n
                                • Lead quality (MQL-to-SQL rate, pipeline contribution)<\/li>\n
                                • Brand search lift or direct traffic trends (used carefully, ideally with testing)<\/li>\n<\/ul>\n\n\n\n

                                  Affinity Segment success often shows up first in quality<\/strong> improvements, then later in direct conversion efficiency as you refine creatives, landing pages, and retargeting.<\/p>\n\n\n\n

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

                                  Several trends are reshaping how Affinity Segment targeting works in Paid Marketing<\/strong>:<\/p>\n\n\n\n

                                    \n
                                  • More modeling, less deterministic tracking:<\/strong> As identifiers and third-party signals decline, affinity classification relies more on aggregated, modeled signals.<\/li>\n
                                  • Privacy-first audience design:<\/strong> Expect stricter controls on sensitive categories and clearer user consent expectations.<\/li>\n
                                  • AI-driven creative personalization:<\/strong> Affinity themes increasingly influence which creative variant is served, not just who is targeted\u2014especially in Display Advertising<\/strong> with dynamic creative systems.<\/li>\n
                                  • Incrementality-first measurement:<\/strong> More teams are moving from last-click reporting to lift tests, geo experiments, and conversion modeling to understand whether an Affinity Segment truly adds net new results.<\/li>\n
                                  • Blended targeting strategies:<\/strong> Affinity is being combined with contextual signals, first-party engagement, and on-platform predictive audiences to keep performance stable across environments.<\/li>\n<\/ul>\n\n\n\n

                                    The direction is clear: Affinity Segment targeting will remain important, but the winning approach will pair it with strong measurement, creative relevance, and privacy-aware data practices.<\/p>\n\n\n\n

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

                                    Affinity Segment vs In-Market Audience<\/h3>\n\n\n\n

                                    An In-market audience<\/strong> (or similar concept) reflects near-term purchase intent<\/strong>, based on recent behaviors suggesting active shopping. An Affinity Segment<\/strong> reflects long-term interest<\/strong> and is typically more upper-funnel. In Paid Marketing<\/strong>, in-market often drives direct-response performance, while affinity supports reach and consideration\u2014though both can overlap.<\/p>\n\n\n\n

                                    Affinity Segment vs Remarketing\/Retargeting<\/h3>\n\n\n\n

                                    Retargeting is based on your owned interactions<\/strong> (site visits, app actions, cart events). An Affinity Segment is based on broader interest patterns<\/strong>, often beyond your properties. In Display Advertising<\/strong>, retargeting tends to convert more efficiently but is limited by audience size; affinity provides scale.<\/p>\n\n\n\n

                                    Affinity Segment vs Contextual Targeting<\/h3>\n\n\n\n

                                    Contextual targeting shows ads based on the content being viewed right now<\/strong> (page topic, app category). An Affinity Segment targets the person\u2019s likely interests over time<\/strong>. Many strong Display Advertising<\/strong> strategies combine both: affinity for audience fit and contextual for real-time relevance.<\/p>\n\n\n\n

                                    Who Should Learn Affinity Segment<\/h2>\n\n\n\n
                                      \n
                                    • Marketers and media buyers:<\/strong> To expand prospecting, improve relevance, and structure campaigns that balance reach and efficiency in Paid Marketing<\/strong>.<\/li>\n
                                    • Analysts and growth teams:<\/strong> To evaluate segment quality, run experiments, and avoid misleading attribution\u2014especially in Display Advertising<\/strong>.<\/li>\n
                                    • Agencies:<\/strong> To build repeatable audience frameworks and communicate clearly to clients about what affinity targeting can and cannot do.<\/li>\n
                                    • Business owners and founders:<\/strong> To understand how to reach likely-fit customers before they\u2019re ready to buy and how that impacts brand growth.<\/li>\n
                                    • Developers and marketing ops:<\/strong> To implement reliable tracking, event schemas, and data pipelines that support audience measurement and experimentation.<\/li>\n<\/ul>\n\n\n\n

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

                                      An Affinity Segment<\/strong> groups people based on persistent interests and lifestyle signals, helping advertisers reach audiences likely to care about a category. In Paid Marketing<\/strong>, it is a practical method for scaling prospecting and improving relevance without relying solely on immediate intent. In Display Advertising<\/strong>, Affinity Segment targeting supports better audience fit, stronger creative performance, and more efficient top-of-funnel reach\u2014when paired with disciplined testing and quality-focused measurement.<\/p>\n\n\n\n

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

                                      1) What is an Affinity Segment used for in Paid Marketing?<\/h3>\n\n\n\n

                                      An Affinity Segment is used to reach people who are likely interested in a theme or lifestyle category over the long term. In Paid Marketing<\/strong>, it\u2019s most commonly used for prospecting, awareness, and consideration campaigns\u2014often feeding higher-quality users into retargeting and search.<\/p>\n\n\n\n

                                      2) Is an Affinity Segment the same as targeting by demographics?<\/h3>\n\n\n\n

                                      No. Demographics describe who someone is (age range, gender, location), while an Affinity Segment describes what they are consistently interested in. Many effective strategies use both, but affinity targeting usually improves relevance beyond demographics alone.<\/p>\n\n\n\n

                                      3) How does Affinity Segment targeting impact Display Advertising performance?<\/h3>\n\n\n\n

                                      In Display Advertising<\/strong>, an Affinity Segment can increase the likelihood that impressions reach interested audiences, which often improves engagement and downstream site quality. Results depend on creative fit, frequency control, and whether you measure beyond clicks.<\/p>\n\n\n\n

                                      4) Can Affinity Segment drive conversions, or is it only for awareness?<\/h3>\n\n\n\n

                                      It can drive conversions, but it\u2019s typically stronger at building qualified demand than capturing ready-to-buy intent. For conversion goals, many teams pair an Affinity Segment with tighter signals (contextual, on-site retargeting, or high-intent placements) to improve efficiency.<\/p>\n\n\n\n

                                      5) What\u2019s the biggest mistake marketers make with Affinity Segment?<\/h3>\n\n\n\n

                                      Treating it as a guaranteed buyer list. An Affinity Segment indicates probability of interest, not certainty of purchase intent. Overconfidence can lead to weak measurement and poor creative alignment, especially in Paid Marketing<\/strong> programs focused on short-term ROI.<\/p>\n\n\n\n

                                      6) How do I test whether an Affinity Segment is worth the budget?<\/h3>\n\n\n\n

                                      Run controlled comparisons: affinity vs broad, or one affinity theme vs another, using consistent creatives and landing pages. Evaluate conversion quality and incrementality where possible, not just CTR\u2014particularly for Display Advertising<\/strong> where attribution can be noisy.<\/p>\n\n\n\n

                                      7) Should small businesses use Affinity Segment targeting?<\/h3>\n\n\n\n

                                      Yes, if they need efficient prospecting and can track meaningful outcomes. Start with one or two Affinity Segment themes closely tied to your product, keep budgets modest, and optimize based on qualified actions (leads, engaged sessions, purchases) rather than clicks alone.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                      An **Affinity Segment** is a way to group people based on their long-term interests and lifestyle signals\u2014what they consistently read, watch, search for, and engage with over time. In **Paid Marketing**, it\u2019s commonly used to reach audiences who are likely to care about a category (for example, \u201coutdoor enthusiasts\u201d or \u201cbusiness travelers\u201d) even if they haven\u2019t shown immediate purchase intent.<\/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-10194","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\/10194","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=10194"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/10194\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=10194"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=10194"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=10194"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}