{"id":7043,"date":"2026-03-23T22:14:10","date_gmt":"2026-03-23T22:14:10","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/halo-effect\/"},"modified":"2026-03-23T22:14:10","modified_gmt":"2026-03-23T22:14:10","slug":"halo-effect","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/halo-effect\/","title":{"rendered":"Halo Effect: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Attribution"},"content":{"rendered":"\n

Marketing performance rarely behaves like a neat spreadsheet. A campaign can lift conversions in places you\u2019re not directly tracking, and a strong brand moment can boost results across multiple channels days or weeks later. That \u201cspillover\u201d is often described as the Halo Effect<\/strong>\u2014a real and measurable phenomenon that sits at the center of Conversion & Measurement<\/strong> and directly complicates Attribution<\/strong>.<\/p>\n\n\n\n

In modern Conversion & Measurement<\/strong>, the Halo Effect<\/strong> matters because teams increasingly rely on platform reports, pixel events, and multi-touch models to make budget decisions. When uplift happens outside the measured path\u2014like increases in branded search, direct traffic, retail purchases, or sales via another device\u2014Attribution<\/strong> can over-credit the wrong tactic and underfund the true driver.<\/p>\n\n\n\n

\n\n\n\n

1) What Is Halo Effect?<\/h2>\n\n\n\n

In digital marketing, the Halo Effect<\/strong> is the indirect impact of a marketing activity that improves performance elsewhere\u2014other channels, later time periods, or different products\u2014without being directly captured in the same tracking path.<\/p>\n\n\n\n

The core concept is influence beyond the click<\/strong>. A user might see a high-impact video ad and later convert through organic search; the conversion is real, but most tracking systems will credit search rather than the earlier stimulus. That gap is the Halo Effect<\/strong>.<\/p>\n\n\n\n

From a business perspective, the Halo Effect<\/strong> explains why some campaigns \u201cfeel\u201d successful even when dashboard conversions don\u2019t fully reflect it. It\u2019s also why performance marketing can look better on paper when it harvests demand created by brand activity.<\/p>\n\n\n\n

Within Conversion & Measurement<\/strong>, the Halo Effect<\/strong> shows up as unexplained lifts in downstream metrics (branded queries, direct visits, store traffic, conversion rate). Within Attribution<\/strong>, it represents \u201cmissing\u201d credit\u2014impact that occurred but wasn\u2019t assigned to the true cause.<\/p>\n\n\n\n

\n\n\n\n

2) Why Halo Effect Matters in Conversion & Measurement<\/h2>\n\n\n\n

The strategic importance of the Halo Effect<\/strong> is that it changes what \u201cROI\u201d really means. If you only evaluate tactics by tracked conversions, you can accidentally penalize the campaigns that create demand and reward the campaigns that merely capture it.<\/p>\n\n\n\n

In Conversion & Measurement<\/strong>, this affects budget allocation, forecasting, and KPI selection. Teams that recognize the Halo Effect<\/strong> tend to build measurement plans that combine platform reporting with incrementality testing, media mix analysis, and leading indicators of brand demand.<\/p>\n\n\n\n

The business value is straightforward: better decisions. When the Halo Effect<\/strong> is acknowledged and measured, you can fund activities that raise total revenue\u2014even if they don\u2019t win last-click Attribution<\/strong>.<\/p>\n\n\n\n

It also creates competitive advantage. Brands that quantify halo-driven lift can afford to invest earlier in the funnel, withstand short-term volatility, and outgrow competitors who optimize only to what\u2019s easiest to track.<\/p>\n\n\n\n

\n\n\n\n

3) How Halo Effect Works<\/h2>\n\n\n\n

The Halo Effect<\/strong> is more conceptual than procedural, but it does follow a practical pattern that you can observe in real campaigns:<\/p>\n\n\n\n

    \n
  1. \n

    Trigger (marketing input)<\/strong>\n A marketing action creates attention, trust, or intent\u2014examples include a new creative concept, influencer content, PR coverage, a sponsorship, a large-reach video push, or even a major site experience improvement.<\/p>\n<\/li>\n

  2. \n

    Propagation (behavioral and channel shift)<\/strong>\n Users don\u2019t always convert immediately or in the same channel. They may:\n – search for the brand later,\n – click an organic listing instead of a paid ad,\n – type the URL directly,\n – convert on another device,\n – buy through a partner, marketplace, or physical store.<\/p>\n<\/li>\n

  3. \n

    Capture (measurement and Attribution)<\/strong>\n Tracking systems record the conversion where it lands. Most default Attribution<\/strong> approaches (especially last-click) credit the final interaction, not the earlier influence.<\/p>\n<\/li>\n

  4. \n

    Outcome (visible lift + invisible credit)<\/strong>\n The business sees performance lift, but the \u201ccredit\u201d appears in the wrong place. The Halo Effect<\/strong> becomes the difference between true impact and reported impact\u2014an issue at the heart of Conversion & Measurement<\/strong>.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

    \n\n\n\n

    4) Key Components of Halo Effect<\/h2>\n\n\n\n

    To manage the Halo Effect<\/strong>, you need both data and operating discipline. The key components typically include:<\/p>\n\n\n\n

    Data inputs that reveal spillover<\/h3>\n\n\n\n
      \n
    • Branded vs non-branded search volume and click share <\/li>\n
    • Direct traffic trends and returning visitor rates <\/li>\n
    • View-through exposure (where privacy rules allow) <\/li>\n
    • Geo-level sales, store traffic, or distribution data <\/li>\n
    • New vs returning customer splits <\/li>\n
    • Cross-device and cross-channel identity signals (often modeled)<\/li>\n<\/ul>\n\n\n\n

      Measurement processes within Conversion & Measurement<\/h3>\n\n\n\n
        \n
      • Incrementality frameworks (holdouts, geo tests, lift tests) <\/li>\n
      • Marketing mix modeling for channel-level contribution <\/li>\n
      • Cohort tracking and time-lag analysis (conversion delay curves) <\/li>\n
      • Creative and message testing to isolate what caused lift<\/li>\n<\/ul>\n\n\n\n

        Governance and responsibilities<\/h3>\n\n\n\n
          \n
        • Clear KPI definitions (what is \u201csuccess,\u201d for which stage?) <\/li>\n
        • Consistent experiment design standards <\/li>\n
        • Agreed rules for Attribution<\/strong> reporting vs decision-making <\/li>\n
        • Stakeholder alignment so brand and performance teams don\u2019t optimize against conflicting scorecards<\/li>\n<\/ul>\n\n\n\n
          \n\n\n\n

          5) Types of Halo Effect<\/h2>\n\n\n\n

          The Halo Effect<\/strong> isn\u2019t a single \u201ctype\u201d in a strict technical sense, but there are common contexts marketers should distinguish:<\/p>\n\n\n\n

          Channel halo<\/h3>\n\n\n\n

          A campaign in one channel lifts conversions in another. Example: connected TV drives more branded search, which boosts paid search and organic conversions. This is one of the most common Conversion & Measurement<\/strong> challenges.<\/p>\n\n\n\n

          Brand halo<\/h3>\n\n\n\n

          A strong brand moment increases trust and conversion rate across many touchpoints (email, landing pages, partner referrals). Here, Attribution<\/strong> often under-credits the original exposure.<\/p>\n\n\n\n

          Product halo<\/h3>\n\n\n\n

          Marketing for one product increases interest in related products (cross-sell). You may see higher average order value or increased bundle purchases not directly tied to the advertised SKU.<\/p>\n\n\n\n

          Experience halo<\/h3>\n\n\n\n

          Site speed improvements, clearer messaging, or better onboarding increases conversion rate across campaigns. Media performance appears to \u201cimprove,\u201d but the real driver is UX.<\/p>\n\n\n\n

          Time-lag (carryover) halo<\/h3>\n\n\n\n

          Impact persists after the campaign ends. If reporting windows are too short, Conversion & Measurement<\/strong> will underestimate the campaign while overstating \u201cbaseline\u201d performance later.<\/p>\n\n\n\n

          \n\n\n\n

          6) Real-World Examples of Halo Effect<\/h2>\n\n\n\n

          Example 1: Video awareness campaign that boosts search and conversion rate<\/h3>\n\n\n\n

          A B2C brand launches a two-week video push. Platform reports show modest tracked conversions. But the business sees:\n– a spike in branded search,\n– higher direct traffic,\n– improved conversion rate on product pages.<\/p>\n\n\n\n

          Last-click Attribution<\/strong> credits paid search and direct visits, making video look inefficient. A holdout test shows the exposed regions grew total conversions more than control regions, confirming a Halo Effect<\/strong> that standard tracking missed. The takeaway for Conversion & Measurement<\/strong>: evaluate video using lift and downstream indicators, not only pixel-attributed conversions.<\/p>\n\n\n\n

          Example 2: Influencer content drives \u201cunattributed\u201d sales through partners<\/h3>\n\n\n\n

          A SaaS company runs influencer content that doesn\u2019t reliably pass referral parameters. Sales increase through:\n– organic signups,\n– demo requests that come via \u201cdirect\/none,\u201d\n– partner resellers.<\/p>\n\n\n\n

          Default Attribution<\/strong> cannot connect the dots, so influencer spend looks weak. A pre\/post analysis with matched-market controls reveals incremental lift and a higher share of branded queries. The Halo Effect<\/strong> here is cross-channel plus tracking loss.<\/p>\n\n\n\n

          Example 3: New landing page improves paid media ROAS (but the halo is UX)<\/h3>\n\n\n\n

          An ecommerce team redesigns checkout and reduces friction. Paid social ROAS improves 25% in the same month. Without careful Conversion & Measurement<\/strong>, the team might scale ads aggressively and misread the cause. A conversion rate decomposition shows the uplift came mainly from checkout improvements\u2014an experience-driven Halo Effect<\/strong> that benefits every acquisition channel. Attribution<\/strong> should not be used to declare the ads \u201cbetter\u201d without controlling for the site change.<\/p>\n\n\n\n

          \n\n\n\n

          7) Benefits of Using Halo Effect (Correctly)<\/h2>\n\n\n\n

          When teams account for the Halo Effect<\/strong>, they unlock tangible gains:<\/p>\n\n\n\n

            \n
          • More accurate ROI<\/strong>: You reduce underinvestment in upper-funnel work that creates demand. <\/li>\n
          • Better budget allocation<\/strong>: Spend shifts from \u201ceasy-to-credit\u201d tactics to \u201cactually incremental\u201d tactics. <\/li>\n
          • Improved efficiency<\/strong>: You avoid chasing false positives in Attribution<\/strong> reports. <\/li>\n
          • Stronger customer experience<\/strong>: Recognizing experience halo encourages investments in UX, messaging, and trust signals that raise conversion rates everywhere. <\/li>\n
          • Healthier forecasting<\/strong>: Time-lag halo awareness reduces surprises when campaigns end but results persist (or when results dip because demand creation stopped).<\/li>\n<\/ul>\n\n\n\n

            These benefits directly strengthen Conversion & Measurement<\/strong> maturity and prevent misaligned incentives across teams.<\/p>\n\n\n\n

            \n\n\n\n

            8) Challenges of Halo Effect<\/h2>\n\n\n\n

            The Halo Effect<\/strong> is valuable\u2014but hard. Common challenges include:<\/p>\n\n\n\n

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

            Cross-device journeys, privacy constraints, and incomplete identity resolution make it difficult to connect exposures to outcomes. This weakens traditional Attribution<\/strong> and increases reliance on modeling.<\/p>\n\n\n\n

            Confounding variables<\/h3>\n\n\n\n

            Seasonality, promotions, PR events, competitor activity, product changes, and inventory can all create \u201clift\u201d that looks like halo. Without experimental control, you risk attributing correlation to causation.<\/p>\n\n\n\n

            Organizational friction<\/h3>\n\n\n\n

            Brand teams may claim halo without proof; performance teams may dismiss halo because it\u2019s not in dashboards. Strong Conversion & Measurement<\/strong> requires shared standards for evidence.<\/p>\n\n\n\n

            Overcorrection risk<\/h3>\n\n\n\n

            Not every unexplained lift is halo. If teams assume a Halo Effect<\/strong> everywhere, they can justify inefficient spend. The goal is to quantify halo, not to use it as a blanket excuse.<\/p>\n\n\n\n

            \n\n\n\n

            9) Best Practices for Halo Effect<\/h2>\n\n\n\n

            Use these practices to make the Halo Effect<\/strong> measurable and actionable:<\/p>\n\n\n\n

              \n
            1. \n

              Define what \u201cincremental\u201d means for each channel<\/strong>\n Separate reporting Attribution<\/strong> (who gets credit in dashboards) from decision Attribution<\/strong> (how you allocate budget).<\/p>\n<\/li>\n

            2. \n

              Use experiments whenever feasible<\/strong>\n Prioritize holdouts, geo experiments, or conversion lift tests for channels where halo is likely (video, influencer, PR, sponsorships).<\/p>\n<\/li>\n

            3. \n

              Track leading indicators of demand creation<\/strong>\n Monitor branded search, direct traffic quality, new-user share, and returning visitor conversion rate as part of Conversion & Measurement<\/strong>, not as \u201cvanity metrics.\u201d<\/p>\n<\/li>\n

            4. \n

              Model time lag explicitly<\/strong>\n Build conversion delay curves and analyze post-campaign effects. A short lookback window can hide meaningful Halo Effect<\/strong> value.<\/p>\n<\/li>\n

            5. \n

              Segment outcomes by customer type and funnel stage<\/strong>\n Halo often shows up as improved new-customer rate, higher assisted conversions, or better downstream conversion rates\u2014not just immediate purchases.<\/p>\n<\/li>\n

            6. \n

              Document major site\/product changes alongside media reporting<\/strong>\n Experience halo is common. Annotate reports so teams don\u2019t misattribute improvements to media.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

              \n\n\n\n

              10) Tools Used for Halo Effect<\/h2>\n\n\n\n

              The Halo Effect<\/strong> isn\u2019t \u201csolved\u201d by a single tool. It\u2019s managed through a measurement stack that supports Conversion & Measurement<\/strong> and robust Attribution<\/strong> thinking:<\/p>\n\n\n\n

                \n
              • Analytics tools<\/strong>: event tracking, channel grouping, cohort analysis, new vs returning splits, and funnel conversion rates. <\/li>\n
              • Experimentation and testing platforms<\/strong>: A\/B testing, holdouts, geo tests, and lift studies to estimate incrementality. <\/li>\n
              • Ad platforms and reach measurement<\/strong>: impression delivery, frequency, and audience reporting (often aggregated or modeled). <\/li>\n
              • CRM and marketing automation systems<\/strong>: lead source history, lifecycle stages, and offline conversion imports that reduce blind spots. <\/li>\n
              • Data warehouses and transformation pipelines<\/strong>: unify spend, exposures, site events, and sales outcomes to analyze cross-channel lift. <\/li>\n
              • BI dashboards and reporting layers<\/strong>: consistent definitions and stakeholder-ready views that separate tracked Attribution<\/strong> from incremental impact.<\/li>\n<\/ul>\n\n\n\n
                \n\n\n\n

                11) Metrics Related to Halo Effect<\/h2>\n\n\n\n

                To detect and quantify the Halo Effect<\/strong>, combine performance, demand, and incrementality metrics:<\/p>\n\n\n\n

                  \n
                • Incremental conversions \/ incremental revenue<\/strong> (from experiments or models) <\/li>\n
                • Branded search lift<\/strong> and branded click share <\/li>\n
                • Direct traffic quality<\/strong> (engaged sessions, conversion rate, revenue per session) <\/li>\n
                • Assisted conversions<\/strong> and path length indicators (where available) <\/li>\n
                • New customer rate<\/strong> and customer acquisition cost (CAC) by cohort <\/li>\n
                • Conversion rate lift<\/strong> on key landing pages (often signals brand or experience halo) <\/li>\n
                • Time-to-convert<\/strong> and lagged conversion curves <\/li>\n
                • Share of search \/ share of voice proxies<\/strong> as directional brand demand indicators <\/li>\n
                • Lifetime value (LTV) by acquisition cohort<\/strong>, which can reveal long-term halo beyond immediate purchases<\/li>\n<\/ul>\n\n\n\n

                  In Conversion & Measurement<\/strong>, these metrics help you triangulate halo even when click-based Attribution<\/strong> is incomplete.<\/p>\n\n\n\n

                  \n\n\n\n

                  12) Future Trends of Halo Effect<\/h2>\n\n\n\n

                  Several industry trends are making the Halo Effect<\/strong> more important\u2014and harder to ignore\u2014in Conversion & Measurement<\/strong>:<\/p>\n\n\n\n

                    \n
                  • Privacy-driven signal loss<\/strong>: As tracking becomes more limited, the gap between true influence and observable paths widens, increasing halo-like \u201cunattributed\u201d outcomes. <\/li>\n
                  • Modeled conversions and aggregated reporting<\/strong>: More results will be estimated rather than directly observed, changing how Attribution<\/strong> is communicated. <\/li>\n
                  • AI-assisted budget optimization<\/strong>: Automation can optimize to the wrong objective if the Halo Effect<\/strong> isn\u2019t represented in the feedback loop (for example, optimizing solely to last-click ROAS). <\/li>\n
                  • Clean-room and secure data collaboration<\/strong>: More organizations will analyze aggregated cross-platform effects without moving user-level data, improving halo measurement at a system level. <\/li>\n
                  • More geo experimentation<\/strong>: As deterministic tracking declines, geo-based lift tests and matched-market methods are likely to become standard in advanced Conversion & Measurement<\/strong> programs.<\/li>\n<\/ul>\n\n\n\n
                    \n\n\n\n

                    13) Halo Effect vs Related Terms<\/h2>\n\n\n\n

                    Halo Effect vs incrementality<\/h3>\n\n\n\n

                    Incrementality is the measurement of what changed because of marketing (the causal lift). The Halo Effect<\/strong> is a common pattern<\/em> of incremental impact\u2014where lift appears in other channels or later time periods. Incrementality methods are often how you prove the Halo Effect<\/strong>.<\/p>\n\n\n\n

                    Halo Effect vs spillover effect<\/h3>\n\n\n\n

                    These are closely related. \u201cSpillover\u201d is often used as a broad description of cross-channel or cross-product lift. In practice, many marketers use spillover and Halo Effect<\/strong> interchangeably, but \u201chalo\u201d often implies a brand- or perception-driven lift that improves multiple outcomes.<\/p>\n\n\n\n

                    Halo Effect vs last-click Attribution<\/h3>\n\n\n\n

                    Last-click Attribution<\/strong> assigns credit to the final touchpoint before conversion. The Halo Effect<\/strong> highlights why last-click can be misleading: it ignores earlier influences that created intent, inflated conversion rates, or redirected users into trackable channels like search.<\/p>\n\n\n\n

                    \n\n\n\n

                    14) Who Should Learn Halo Effect<\/h2>\n\n\n\n
                      \n
                    • Marketers<\/strong> need the Halo Effect<\/strong> to plan full-funnel strategy and avoid optimizing only for what\u2019s easiest to track in Conversion & Measurement<\/strong>. <\/li>\n
                    • Analysts<\/strong> use it to design better experiments, interpret noisy channel data, and improve Attribution<\/strong> governance. <\/li>\n
                    • Agencies<\/strong> benefit by setting realistic expectations, defending upper-funnel investment with evidence, and building cross-channel reporting frameworks. <\/li>\n
                    • Business owners and founders<\/strong> need it to avoid cutting the very activities that create demand and long-term growth. <\/li>\n
                    • Developers and data engineers<\/strong> help reduce measurement gaps by improving event design, data pipelines, offline conversion imports, and experimentation infrastructure.<\/li>\n<\/ul>\n\n\n\n
                      \n\n\n\n

                      15) Summary of Halo Effect<\/h2>\n\n\n\n

                      The Halo Effect<\/strong> is the indirect, often under-tracked impact of marketing that boosts performance across other channels, later time periods, or related products. It matters because it can distort Conversion & Measurement<\/strong> dashboards and cause Attribution<\/strong> to credit the wrong touchpoints.<\/p>\n\n\n\n

                      Teams that account for the Halo Effect<\/strong> use experiments, modeling, and demand indicators to estimate true incremental impact. Done well, it leads to smarter budgeting, better forecasting, and a healthier balance between demand creation and demand capture.<\/p>\n\n\n\n

                      \n\n\n\n

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

                      1) What is the Halo Effect in marketing measurement?<\/h3>\n\n\n\n

                      The Halo Effect<\/strong> is when a campaign influences conversions indirectly\u2014such as increasing branded search, direct traffic, or conversion rate\u2014so the final recorded conversion is credited elsewhere even though the campaign helped cause it.<\/p>\n\n\n\n

                      2) How does Halo Effect impact Attribution reports?<\/h3>\n\n\n\n

                      It causes Attribution<\/strong> systems to under-credit the original driver (often upper-funnel activity) and over-credit the channel that captures the final action (often search, direct, or email).<\/p>\n\n\n\n

                      3) Is the Halo Effect always a brand phenomenon?<\/h3>\n\n\n\n

                      No. The Halo Effect<\/strong> can be brand-driven, but it can also come from UX improvements, product changes, pricing, distribution, or any factor that increases conversion probability across channels.<\/p>\n\n\n\n

                      4) How can I measure Halo Effect with limited tracking?<\/h3>\n\n\n\n

                      Use Conversion & Measurement<\/strong> approaches that don\u2019t rely solely on user-level paths: geo experiments, holdouts, time-series analysis with controls, and marketing mix modeling. Also monitor branded search and direct traffic quality as supporting evidence.<\/p>\n\n\n\n

                      5) What channels typically create the strongest Halo Effect?<\/h3>\n\n\n\n

                      Channels that build awareness and trust\u2014video, influencer marketing, PR, sponsorships, and broad reach social\u2014often produce strong Halo Effect<\/strong> patterns because users convert later and through different touchpoints.<\/p>\n\n\n\n

                      6) Can the Halo Effect make paid search look better than it is?<\/h3>\n\n\n\n

                      Yes. If other campaigns create demand, paid search may capture that demand and appear highly efficient in Attribution<\/strong>. Without incrementality testing, Conversion & Measurement<\/strong> can over-invest in demand capture.<\/p>\n\n\n\n

                      7) What\u2019s the fastest way to operationalize Halo Effect in reporting?<\/h3>\n\n\n\n

                      Add a dual view: (1) standard Attribution<\/strong> reporting for consistency, and (2) an incrementality or lift-based view that includes halo indicators like branded search lift, direct traffic quality, and post-campaign conversion lag.<\/p>\n","protected":false},"excerpt":{"rendered":"

                      Marketing performance rarely behaves like a neat spreadsheet. A campaign can lift conversions in places you\u2019re not directly tracking, and a strong brand moment can boost results across multiple channels days or weeks later. That \u201cspillover\u201d is often described as the **Halo Effect**\u2014a real and measurable phenomenon that sits at the center of **Conversion & Measurement** and directly complicates **Attribution**.<\/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":[1888],"tags":[],"class_list":["post-7043","post","type-post","status-publish","format-standard","hentry","category-attribution"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/7043","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=7043"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/7043\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=7043"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=7043"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=7043"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}