{"id":10947,"date":"2026-03-30T04:33:48","date_gmt":"2026-03-30T04:33:48","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/retargeting-attribution\/"},"modified":"2026-03-30T04:33:48","modified_gmt":"2026-03-30T04:33:48","slug":"retargeting-attribution","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/retargeting-attribution\/","title":{"rendered":"Retargeting Attribution: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Retargeting \/ Remarketing"},"content":{"rendered":"\n

Retargeting campaigns are often the last ads people see before converting, which makes them look like the hero in many reports. Retargeting Attribution<\/strong> is the discipline of measuring how much credit retargeting truly deserves for conversions\u2014across clicks, views, devices, and channels\u2014so budgets and optimizations reflect reality, not just proximity to purchase.<\/p>\n\n\n\n

In Paid Marketing<\/strong>, retargeting is a core tactic inside Retargeting \/ Remarketing<\/strong> because it re-engages visitors, leads, and customers who already showed intent. But when retargeting \u201cwins\u201d too much credit, it can quietly drain spend from prospecting, inflate ROI, and distort decision-making. Strong Retargeting Attribution protects performance by separating \u201ccapturing demand\u201d from \u201ccreating demand\u201d and by clarifying which touchpoints genuinely drove incremental outcomes.<\/p>\n\n\n\n

2. What Is Retargeting Attribution?<\/h2>\n\n\n\n

Retargeting Attribution<\/strong> is the method of assigning appropriate conversion value to retargeting touchpoints (ads and exposures shown to known users) within a broader customer journey. It answers a practical question: Did retargeting cause the conversion, assist it, or simply happen to be the last interaction before the user bought?<\/em><\/p>\n\n\n\n

The core concept is that most conversions are multi-touch. A user might discover a brand through prospecting, research through organic and email, and finally convert after seeing a retargeting ad. Retargeting Attribution tries to quantify retargeting\u2019s contribution relative to other marketing activities and relative to what would have happened without retargeting.<\/p>\n\n\n\n

From a business perspective, Retargeting Attribution influences:\n– how you allocate budget between prospecting and Retargeting \/ Remarketing<\/strong>\n– which audiences you prioritize (site visitors vs. cart abandoners vs. CRM lists)\n– which creative messages you scale (discounts vs. proof vs. reminders)\n– how you evaluate profitability in Paid Marketing<\/strong> (ROAS, CAC, and LTV impact)<\/p>\n\n\n\n

Within Paid Marketing<\/strong>, Retargeting Attribution sits at the intersection of ad platform reporting, analytics measurement, and experimentation. Inside Retargeting \/ Remarketing<\/strong>, it\u2019s the framework that prevents retargeting from being over-credited simply because it\u2019s closer to conversion.<\/p>\n\n\n\n

3. Why Retargeting Attribution Matters in Paid Marketing<\/h2>\n\n\n\n

Retargeting is designed to be effective late in the funnel. That also makes it uniquely vulnerable to attribution bias\u2014especially last-click reporting. Retargeting Attribution matters because it corrects the \u201ceasy win\u201d illusion and supports smarter investment decisions.<\/p>\n\n\n\n

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

    \n
  • Budget accuracy:<\/strong> If retargeting gets excessive credit, teams often shift spend away from prospecting. Over time, the top of funnel shrinks and overall growth slows\u2014even while retargeting metrics look great.<\/li>\n
  • True ROI clarity:<\/strong> Retargeting ads can harvest conversions that would have happened anyway (brand-driven or direct). Retargeting Attribution helps estimate incremental revenue rather than just attributed revenue.<\/li>\n
  • Creative and offer discipline:<\/strong> If discount-heavy retargeting is over-credited, it may look like it\u2019s \u201cdriving\u201d sales while actually eroding margin. Better measurement can reveal whether urgency messaging is incremental or just costly.<\/li>\n
  • Competitive advantage:<\/strong> Brands that understand real lift can outbid competitors confidently where it\u2019s profitable, and avoid waste where it isn\u2019t.<\/li>\n<\/ul>\n\n\n\n

    In short, Retargeting Attribution turns Retargeting \/ Remarketing<\/strong> from a reporting artifact into a controllable growth lever within Paid Marketing<\/strong>.<\/p>\n\n\n\n

    4. How Retargeting Attribution Works<\/h2>\n\n\n\n

    Retargeting Attribution is partly technical (tracking) and partly analytical (credit assignment). In practice, it works like a workflow:<\/p>\n\n\n\n

    1) Input \/ Trigger (data collection)<\/strong>\nA user visits, browses, or abandons a cart. They\u2019re added to retargeting audiences via pixels, SDKs, or first-party identifiers. Subsequent ad impressions and clicks are logged, along with timestamps, devices, and campaign metadata.<\/p>\n\n\n\n

    2) Analysis \/ Processing (journey reconstruction)<\/strong>\nMeasurement systems connect events into user journeys and decide which interactions count. This typically includes:\n– defining conversion windows (e.g., 7-day click, 1-day view)\n– deduplicating conversions across channels\n– deciding whether view-through exposure gets any credit\n– handling cross-device identity resolution where possible<\/p>\n\n\n\n

    3) Execution \/ Application (credit assignment and decisioning)<\/strong>\nAn attribution model assigns value to touchpoints. The same conversion can look dramatically different under last-click vs. multi-touch vs. incrementality approaches. Teams then use these results to set bids, budgets, and audience rules in Paid Marketing<\/strong> platforms.<\/p>\n\n\n\n

    4) Output \/ Outcome (optimization and reporting)<\/strong>\nOutputs include channel-level ROAS, audience-level CPA, and path-to-conversion insights. Ideally, Retargeting Attribution also produces \u201cincremental\u201d views\u2014what retargeting added beyond baseline demand\u2014so Retargeting \/ Remarketing<\/strong> can be optimized for profit, not just credit.<\/p>\n\n\n\n

    5. Key Components of Retargeting Attribution<\/h2>\n\n\n\n

    Effective Retargeting Attribution depends on several building blocks working together:<\/p>\n\n\n\n

      \n
    • Tracking and identity layer:<\/strong> pixels\/SDKs, first-party cookies where available, server-side event collection, and consent signals. For Retargeting \/ Remarketing<\/strong>, audience membership rules must match measurement assumptions.<\/li>\n
    • Conversion definitions:<\/strong> purchases, leads, trials, upgrades, and qualified actions (not just clicks). Misdefined conversions can make retargeting look stronger than it is.<\/li>\n
    • Attribution windows and rules:<\/strong> click-through and view-through windows, lookback periods, and deduplication policies across Paid Marketing<\/strong> channels.<\/li>\n
    • Attribution model selection:<\/strong> rule-based models, data-driven approaches, or incrementality tests (more on this below).<\/li>\n
    • Data governance and ownership:<\/strong> clear responsibilities across marketing, analytics, and engineering. Retargeting Attribution often fails when no one \u201cowns\u201d discrepancies between platform reports and analytics.<\/li>\n
    • Reporting and decision cadence:<\/strong> dashboards that separate prospecting from Retargeting \/ Remarketing<\/strong>, plus regular reviews to adjust audience segments, frequency caps, and exclusions.<\/li>\n<\/ul>\n\n\n\n

      6. Types of Retargeting Attribution<\/h2>\n\n\n\n

      Retargeting Attribution doesn\u2019t have one universal model; it\u2019s a set of approaches for assigning credit. The most relevant distinctions are:<\/p>\n\n\n\n

      Click-through vs. view-through attribution<\/h3>\n\n\n\n
        \n
      • Click-through attribution<\/strong> gives credit when a user clicks a retargeting ad and converts within a window.<\/li>\n
      • View-through attribution<\/strong> gives credit when a user sees<\/em> a retargeting ad (impression) and converts later.<\/li>\n<\/ul>\n\n\n\n

        View-through can be useful for high-consideration products, but it can also over-credit Retargeting \/ Remarketing<\/strong> if windows are long or frequency is high.<\/p>\n\n\n\n

        Single-touch vs. multi-touch models<\/h3>\n\n\n\n
          \n
        • Last-click<\/strong> often makes retargeting look dominant because it appears at the end of the journey.<\/li>\n
        • First-click<\/strong> can under-credit retargeting, especially if discovery happens early.<\/li>\n
        • Linear, time-decay, position-based<\/strong> models distribute credit across touchpoints, making Retargeting Attribution more balanced when journeys are complex.<\/li>\n<\/ul>\n\n\n\n

          Platform attribution vs. cross-channel attribution<\/h3>\n\n\n\n

          Ad platforms often report conversions within their own ecosystem. Cross-channel models attempt to deduplicate and allocate credit across all Paid Marketing<\/strong> and non-paid touchpoints, producing a more holistic Retargeting Attribution view.<\/p>\n\n\n\n

          Incrementality-based measurement (lift)<\/h3>\n\n\n\n

          Incrementality methods (holdout tests, geo tests, PSA tests) estimate how many conversions happened because of<\/em> retargeting. For many teams, this is the most decision-useful form of Retargeting Attribution because it reduces bias from \u201cwould-have-converted-anyway\u201d users.<\/p>\n\n\n\n

          7. Real-World Examples of Retargeting Attribution<\/h2>\n\n\n\n

          Example 1: Ecommerce cart abandoners vs. general site visitors<\/h3>\n\n\n\n

          A retailer runs Retargeting \/ Remarketing<\/strong> for all site visitors and a separate campaign for cart abandoners. Last-click reporting shows cart abandoners with an excellent ROAS, so budget shifts heavily there.<\/p>\n\n\n\n

          Retargeting Attribution reveals that many cart abandoners were already coming back via direct traffic within 24 hours. A holdout test shows only modest incremental lift. The team narrows cart retargeting to higher AOV products, adds frequency caps, and reallocates spend to prospecting within Paid Marketing<\/strong> to maintain pipeline.<\/p>\n\n\n\n

          Example 2: B2B lead gen with long sales cycles<\/h3>\n\n\n\n

          A SaaS company uses retargeting to bring back visitors to download a whitepaper and later request a demo. Platform reports attribute many demos to retargeting, but sales says most opportunities originated from webinars and outbound.<\/p>\n\n\n\n

          Using multi-touch Retargeting Attribution, the team sees retargeting is assisting conversions rather than initiating them. They redesign Retargeting \/ Remarketing<\/strong> creative to support mid-funnel proof (case studies, ROI calculators) and optimize toward qualified actions, not just form fills\u2014improving lead quality and lowering wasted Paid Marketing<\/strong> spend.<\/p>\n\n\n\n

          Example 3: Mobile app re-engagement and subscriptions<\/h3>\n\n\n\n

          An app runs retargeting to bring lapsed users back to subscribe. View-through attribution makes results look strong, but churn remains high.<\/p>\n\n\n\n

          Retargeting Attribution is refined to prioritize post-view engagement and retention cohorts. The team measures incremental subscription lift by holding out a portion of the lapsed audience. They discover some audiences are not incrementally influenced and remove them, focusing on segments with proven lift and better long-term retention.<\/p>\n\n\n\n

          8. Benefits of Using Retargeting Attribution<\/h2>\n\n\n\n

          When implemented thoughtfully, Retargeting Attribution delivers practical benefits:<\/p>\n\n\n\n

            \n
          • Performance improvements:<\/strong> better audience prioritization, smarter frequency caps, and clearer creative strategy for Retargeting \/ Remarketing<\/strong>.<\/li>\n
          • Cost savings:<\/strong> reduced spend on low-incrementality segments (e.g., loyal repeat buyers who would convert anyway).<\/li>\n
          • Higher efficiency:<\/strong> improved CAC\/CPA by aligning optimization with true drivers, not just last-touch credit in Paid Marketing<\/strong> reports.<\/li>\n
          • Better customer experience:<\/strong> fewer repetitive ads, fewer unnecessary discounts, and more relevant sequencing\u2014especially important in retargeting where fatigue is common.<\/li>\n
          • More resilient growth:<\/strong> balanced investment across funnel stages so retargeting doesn\u2019t cannibalize acquisition.<\/li>\n<\/ul>\n\n\n\n

            9. Challenges of Retargeting Attribution<\/h2>\n\n\n\n

            Retargeting Attribution is valuable, but not easy. Common challenges include:<\/p>\n\n\n\n

              \n
            • Identity and tracking limitations:<\/strong> cross-device journeys, cookie restrictions, app tracking constraints, and consent requirements can reduce match rates and distort Retargeting \/ Remarketing<\/strong> measurement.<\/li>\n
            • View-through inflation risk:<\/strong> generous view-through windows and high frequency can overstate impact, especially in Paid Marketing<\/strong> where impressions are cheap and plentiful.<\/li>\n
            • Deduplication issues:<\/strong> multiple platforms claiming the same conversion, or analytics undercounting due to tracking loss.<\/li>\n
            • Selection bias:<\/strong> retargeting targets high-intent users; even honest models can confuse correlation (high intent) with causation (ad impact).<\/li>\n
            • Organizational misalignment:<\/strong> teams may optimize to platform-native ROAS because it is easiest to access, even when it conflicts with business reality.<\/li>\n<\/ul>\n\n\n\n

              10. Best Practices for Retargeting Attribution<\/h2>\n\n\n\n

              Use these practices to make Retargeting Attribution reliable and actionable:<\/p>\n\n\n\n

                \n
              • Separate prospecting vs. retargeting in reporting:<\/strong> Always break out Retargeting \/ Remarketing<\/strong> performance from acquisition so you can see tradeoffs clearly.<\/li>\n
              • Set sensible attribution windows:<\/strong> Keep view-through windows conservative unless you have evidence they reflect true influence. Shorten windows for lower-consideration purchases.<\/li>\n
              • Use exclusions aggressively:<\/strong> Exclude recent purchasers, customer support visitors, and low-value segments that inflate retargeting credit without incremental gain.<\/li>\n
              • Cap frequency and monitor fatigue:<\/strong> Overexposure can create \u201cattributed conversions\u201d while harming brand perception. Tie frequency decisions back to Retargeting Attribution outcomes.<\/li>\n
              • Validate with experiments:<\/strong> Run holdouts for key retargeting audiences to estimate incremental lift. Even small, periodic tests can calibrate your Paid Marketing<\/strong> reporting.<\/li>\n
              • Align optimization events to business value:<\/strong> Optimize toward qualified leads, margin-aware purchases, or retention\u2014not just any conversion that retargeting can easily capture.<\/li>\n
              • Document governance:<\/strong> Define who owns discrepancies between ad platforms and analytics, and standardize the \u201csource of truth\u201d for Retargeting Attribution decisions.<\/li>\n<\/ul>\n\n\n\n

                11. Tools Used for Retargeting Attribution<\/h2>\n\n\n\n

                Retargeting Attribution is typically operationalized through a stack of complementary tool categories:<\/p>\n\n\n\n

                  \n
                • Analytics tools:<\/strong> session and event analytics to track user paths, conversion funnels, and assisted conversions across channels.<\/li>\n
                • Attribution and measurement systems:<\/strong> multi-touch attribution frameworks, experiment design workflows, and incrementality testing capabilities that help evaluate Retargeting \/ Remarketing<\/strong> lift.<\/li>\n
                • Ad platforms and ad servers:<\/strong> campaign metadata, impression\/click logs, audience definitions, and frequency controls that affect retargeting measurement in Paid Marketing<\/strong>.<\/li>\n
                • Tag management and server-side tracking:<\/strong> governance over event firing, consent handling, and resilient data collection.<\/li>\n
                • CRM and marketing automation:<\/strong> first-party identity, lifecycle stages, and offline conversions\u2014critical when retargeting influences later sales outcomes.<\/li>\n
                • Data warehouse and BI dashboards:<\/strong> centralized reporting, deduplication logic, and cohort analysis to reconcile platform vs. analytics views of Retargeting Attribution.<\/li>\n<\/ul>\n\n\n\n

                  12. Metrics Related to Retargeting Attribution<\/h2>\n\n\n\n

                  To evaluate Retargeting Attribution effectively, use metrics that reflect both efficiency and incrementality:<\/p>\n\n\n\n

                    \n
                  • Attributed conversions and revenue:<\/strong> reported conversions under defined click\/view windows (useful, but not sufficient).<\/li>\n
                  • Incremental conversions (lift):<\/strong> conversions caused by Retargeting \/ Remarketing<\/strong> beyond baseline demand (from holdouts\/experiments).<\/li>\n
                  • ROAS and margin-adjusted ROAS:<\/strong> revenue per ad dollar, ideally adjusted for discounts and gross margin.<\/li>\n
                  • CPA\/CAC by audience:<\/strong> especially separating cart abandoners, product viewers, and CRM segments.<\/li>\n
                  • Assisted conversion rate:<\/strong> how often retargeting appears earlier in the path rather than as last touch.<\/li>\n
                  • Frequency and reach:<\/strong> exposure levels that strongly influence view-through Retargeting Attribution and fatigue.<\/li>\n
                  • Time to convert:<\/strong> whether retargeting meaningfully shortens the purchase cycle in Paid Marketing<\/strong> journeys.<\/li>\n
                  • New vs. returning customer share:<\/strong> retargeting often skews toward returning customers; track the mix intentionally.<\/li>\n<\/ul>\n\n\n\n

                    13. Future Trends of Retargeting Attribution<\/h2>\n\n\n\n

                    Retargeting Attribution is evolving as measurement becomes more privacy-aware and modeled:<\/p>\n\n\n\n

                      \n
                    • More modeled and aggregated reporting:<\/strong> With reduced user-level tracking, platforms and analytics increasingly use statistical modeling. Teams will need to interpret Retargeting Attribution with more emphasis on trends and experiments.<\/li>\n
                    • Incrementality as a default:<\/strong> More marketers will use always-on testing (rotating holdouts) to validate Retargeting \/ Remarketing<\/strong> impact rather than relying only on last-click.<\/li>\n
                    • AI-assisted optimization:<\/strong> AI will help predict incrementality by audience, choose frequency caps, and personalize sequencing\u2014if fed clean conversion definitions and governance.<\/li>\n
                    • First-party data expansion:<\/strong> CRM-based audiences, server-side events, and consented identifiers will become central to retargeting measurement in Paid Marketing<\/strong>.<\/li>\n
                    • Creative sequencing and personalization:<\/strong> Attribution will increasingly evaluate not just \u201cdid retargeting work,\u201d but which message worked at which stage<\/em>.<\/li>\n<\/ul>\n\n\n\n

                      14. Retargeting Attribution vs Related Terms<\/h2>\n\n\n\n

                      Retargeting Attribution vs attribution modeling<\/h3>\n\n\n\n

                      Attribution modeling is the broader practice of assigning conversion credit across touchpoints. Retargeting Attribution<\/strong> is specifically focused on measuring and calibrating the credit given to retargeting interactions within Retargeting \/ Remarketing<\/strong> and the wider journey.<\/p>\n\n\n\n

                      Retargeting Attribution vs incrementality testing<\/h3>\n\n\n\n

                      Incrementality testing is a method (experiments\/holdouts) to measure causal lift. Retargeting Attribution can include incrementality testing, but it also includes rule-based and multi-touch approaches used for day-to-day Paid Marketing<\/strong> optimization.<\/p>\n\n\n\n

                      Retargeting Attribution vs conversion tracking<\/h3>\n\n\n\n

                      Conversion tracking logs conversions and connects them to ads. Retargeting Attribution goes further by interpreting how much<\/em> retargeting should be credited, accounting for other channels, windows, and bias\u2014especially important in Retargeting \/ Remarketing<\/strong> where last-touch effects are strong.<\/p>\n\n\n\n

                      15. Who Should Learn Retargeting Attribution<\/h2>\n\n\n\n
                        \n
                      • Marketers:<\/strong> to prevent retargeting from consuming budgets without delivering incremental growth, and to optimize Paid Marketing<\/strong> across the full funnel.<\/li>\n
                      • Analysts:<\/strong> to reconcile discrepancies, design experiments, and build dashboards that reflect real business outcomes from Retargeting \/ Remarketing<\/strong>.<\/li>\n
                      • Agencies:<\/strong> to justify strategy changes with evidence, avoid platform-biased reporting, and communicate clearer performance narratives.<\/li>\n
                      • Business owners and founders:<\/strong> to understand what\u2019s truly driving revenue and to avoid over-investing in \u201cclosing\u201d channels at the expense of acquisition.<\/li>\n
                      • Developers and data teams:<\/strong> to implement reliable event collection, offline conversion pipelines, and measurement governance that makes Retargeting Attribution trustworthy.<\/li>\n<\/ul>\n\n\n\n

                        16. Summary of Retargeting Attribution<\/h2>\n\n\n\n

                        Retargeting Attribution<\/strong> is the practice of assigning appropriate credit to retargeting touchpoints so you can measure true impact, not just last-touch proximity. It matters because retargeting often looks best in default reports, which can distort strategy and budget allocation in Paid Marketing<\/strong>.<\/p>\n\n\n\n

                        Used well, it clarifies how Retargeting \/ Remarketing<\/strong> supports conversions, where it provides incremental lift, and where it merely captures existing intent. The result is better budget balance, smarter audience targeting, and more sustainable performance growth.<\/p>\n\n\n\n

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

                        1) What is Retargeting Attribution in simple terms?<\/h3>\n\n\n\n

                        Retargeting Attribution is how you decide how much credit retargeting ads deserve for a conversion, considering other touchpoints and what might have happened without retargeting.<\/p>\n\n\n\n

                        2) Why does retargeting often look better than prospecting in Paid Marketing reports?<\/h3>\n\n\n\n

                        Because retargeting reaches high-intent users late in the journey, it frequently becomes the last click or last exposure before purchase. Many reporting views in Paid Marketing<\/strong> over-credit that final touch.<\/p>\n\n\n\n

                        3) Should I count view-through conversions for Retargeting \/ Remarketing?<\/h3>\n\n\n\n

                        Sometimes, but cautiously. View-through can capture real influence, yet it can also inflate Retargeting \/ Remarketing<\/strong> results if windows are long or frequency is high. Validate with experiments or compare performance under different windows.<\/p>\n\n\n\n

                        4) What\u2019s the best attribution model for retargeting?<\/h3>\n\n\n\n

                        There isn\u2019t one universal best model. Many teams combine multi-touch Retargeting Attribution for directional insights with incrementality tests to estimate causal lift for major retargeting audiences.<\/p>\n\n\n\n

                        5) How can I tell if my retargeting is incremental?<\/h3>\n\n\n\n

                        Run a holdout test where a portion of your retargeting audience does not see ads, then compare conversion rates. This is one of the clearest ways to calibrate Retargeting Attribution beyond platform-reported ROAS.<\/p>\n\n\n\n

                        6) What\u2019s a common mistake when optimizing Retargeting \/ Remarketing?<\/h3>\n\n\n\n

                        Optimizing to the easiest-to-capture conversion (often last-click purchases) without exclusions or frequency caps. This can create great-looking attribution while wasting spend and harming user experience.<\/p>\n\n\n\n

                        7) How often should I review Retargeting Attribution?<\/h3>\n\n\n\n

                        Review tactical performance weekly (CPA, frequency, audience performance), and recalibrate attribution assumptions quarterly or when major tracking\/privacy changes occur\u2014especially across Paid Marketing<\/strong> channels that influence retargeting paths.<\/p>\n","protected":false},"excerpt":{"rendered":"

                        Retargeting campaigns are often the last ads people see before converting, which makes them look like the hero in many reports. **Retargeting Attribution** is the discipline of measuring how much credit retargeting truly deserves for conversions\u2014across clicks, views, devices, and channels\u2014so budgets and optimizations reflect reality, not just proximity to purchase.<\/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-10947","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\/10947","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=10947"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/10947\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=10947"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=10947"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=10947"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}