{"id":7100,"date":"2026-03-24T00:20:03","date_gmt":"2026-03-24T00:20:03","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/attribution-spend\/"},"modified":"2026-03-24T00:20:03","modified_gmt":"2026-03-24T00:20:03","slug":"attribution-spend","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/attribution-spend\/","title":{"rendered":"Attribution Spend: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Attribution"},"content":{"rendered":"\n

Attribution Spend is the portion of your marketing budget that you allocate, evaluate, or reallocate based on what your Attribution analysis says is driving outcomes. In the context of Conversion & Measurement<\/strong>, it\u2019s the bridge between \u201cwhat we believe worked\u201d and \u201cwhere we actually put dollars next.\u201d Rather than treating spend as a fixed plan set at the start of a quarter, Attribution Spend turns measurement into an operating system for budgeting.<\/p>\n\n\n\n

Attribution Spend matters because modern customer journeys are fragmented across paid, owned, and earned touchpoints, devices, and sessions. Without a clear Attribution<\/strong> approach, teams often overfund the loudest channels (like last-click search) and underfund the channels that create demand (like video, content, affiliates, or email). Done well, Attribution Spend improves efficiency, reduces wasted budget, and makes Conversion & Measurement<\/strong> a strategic advantage instead of a reporting exercise.<\/p>\n\n\n\n

What Is Attribution Spend?<\/h2>\n\n\n\n

Attribution Spend<\/strong> is the practice of connecting marketing investment to credited conversion impact using an Attribution method, then using those insights to guide budget decisions. It is not simply \u201cad spend\u201d or \u201ccost per acquisition.\u201d It\u2019s spend that is interpreted through an Attribution lens\u2014whether that\u2019s first-touch, last-touch, linear, time-decay, position-based, data-driven, or incrementality-informed models.<\/p>\n\n\n\n

The core concept is straightforward: if Attribution assigns a portion of value to each channel, campaign, or touchpoint, Attribution Spend uses that assigned value to decide how much budget each element deserves. The business meaning is equally practical: it\u2019s a way to fund growth based on measured contribution rather than habit, internal politics, or platform-reported results that may not align with your true customer journey.<\/p>\n\n\n\n

Within Conversion & Measurement<\/strong>, Attribution Spend sits at the intersection of:\n– Tracking and data collection<\/strong> (what happened),\n– Attribution logic<\/strong> (what gets credit),\n– Financial decisions<\/strong> (what gets funded),\n– Optimization loops<\/strong> (what changes next).<\/p>\n\n\n\n

Inside Attribution<\/strong>, it turns a model output (credit allocation) into an input for budget planning and performance management.<\/p>\n\n\n\n

Why Attribution Spend Matters in Conversion & Measurement<\/h2>\n\n\n\n

Attribution Spend is strategically important because it turns measurement into action. Many organizations can produce dashboards; fewer can confidently change budgets based on them. When Conversion & Measurement<\/strong> is mature, Attribution Spend becomes a repeatable process: learn \u2192 decide \u2192 invest \u2192 validate.<\/p>\n\n\n\n

Business value shows up in several ways:\n– Better ROI<\/strong>: Budgets move toward touchpoints that contribute to revenue, not just clicks.\n– Faster learning cycles<\/strong>: You spot underperforming segments or campaigns earlier and reallocate.\n– Reduced channel bias<\/strong>: You avoid over-crediting the final step of the journey.\n– Improved forecasting<\/strong>: When Attribution Spend is consistent, finance and marketing align on drivers of growth.<\/p>\n\n\n\n

Competitively, teams that manage Attribution Spend well can outmaneuver rivals by scaling what truly works, especially when ad costs rise or targeting becomes less precise. Strong Conversion & Measurement<\/strong> plus disciplined Attribution Spend often beats \u201cmore budget\u201d as a growth strategy.<\/p>\n\n\n\n

How Attribution Spend Works<\/h2>\n\n\n\n

Attribution Spend is partly procedural and partly governance-driven. In practice, it works like a closed-loop workflow:<\/p>\n\n\n\n

    \n
  1. \n

    Inputs (data + spend signals)<\/strong>\n – Marketing costs by channel\/campaign\/ad set (and ideally by creative and audience)\n – Conversion events (leads, purchases, subscriptions) and revenue or value\n – Touchpoint data (UTMs, referrers, click IDs, impressions where available)\n – CRM outcomes (qualified leads, pipeline, retention) for deeper Conversion & Measurement<\/strong><\/p>\n<\/li>\n

  2. \n

    Processing (Attribution logic)<\/strong>\n – Define conversion goals (micro and macro conversions)\n – Apply an Attribution<\/strong> model (rules-based or data-driven)\n – De-duplicate and unify identities where possible (sessions, users, accounts)\n – Normalize time windows (lookback windows, attribution windows)<\/p>\n<\/li>\n

  3. \n

    Application (budget decisions)<\/strong>\n – Compare credited value vs actual cost (efficiency)\n – Identify where marginal returns are strongest\n – Reallocate budgets across channels, campaigns, geos, or audiences\n – Set guardrails (brand protection, minimum presence, learning budgets)<\/p>\n<\/li>\n

  4. \n

    Outputs (outcomes + validation)<\/strong>\n – Updated spend plans and pacing rules\n – Better conversion mix and improved unit economics\n – Experiment results (lift tests, holdouts) to validate Attribution Spend decisions\n – Iteration of your Conversion & Measurement<\/strong> setup as gaps appear<\/p>\n<\/li>\n<\/ol>\n\n\n\n

    Crucially, Attribution Spend is not \u201cset and forget.\u201d It\u2019s a disciplined loop that treats Attribution<\/strong> as decision support, not a single source of truth.<\/p>\n\n\n\n

    Key Components of Attribution Spend<\/h2>\n\n\n\n

    Effective Attribution Spend depends on multiple moving parts working together:<\/p>\n\n\n\n

    Data inputs and tracking foundations<\/h3>\n\n\n\n
      \n
    • UTMs and consistent campaign taxonomy<\/li>\n
    • Conversion event definitions (purchase vs lead vs qualified lead)<\/li>\n
    • Revenue mapping (order value, LTV estimates, margin where possible)<\/li>\n
    • Cross-domain and subdomain measurement if the journey spans multiple properties<\/li>\n
    • Offline conversion imports (for sales-led funnels)<\/li>\n<\/ul>\n\n\n\n

      Measurement systems<\/h3>\n\n\n\n
        \n
      • Analytics platforms for behavioral data<\/li>\n
      • Ad platform reporting for cost and delivery data<\/li>\n
      • CRM and marketing automation for lead quality and downstream outcomes<\/li>\n
      • Data warehouse or unified reporting layer for reconciliation and governance<\/li>\n<\/ul>\n\n\n\n

        Attribution methods and decision rules<\/h3>\n\n\n\n
          \n
        • A documented Attribution<\/strong> model (or models) for different funnel stages<\/li>\n
        • Lookback windows aligned with buying cycles<\/li>\n
        • Rules for handling branded search, direct traffic, and referrals<\/li>\n<\/ul>\n\n\n\n

          Governance and responsibilities<\/h3>\n\n\n\n
            \n
          • Clear ownership: who defines conversions, who validates data, who approves reallocations<\/li>\n
          • Change control: how tracking changes are documented<\/li>\n
          • Budget operating cadence: weekly pacing vs monthly reforecasting vs quarterly planning<\/li>\n<\/ul>\n\n\n\n

            Attribution Spend fails most often when teams focus only on the model but neglect the operational and governance pieces that make Conversion & Measurement<\/strong> trustworthy.<\/p>\n\n\n\n

            Types of Attribution Spend<\/h2>\n\n\n\n

            \u201cAttribution Spend\u201d doesn\u2019t have universally standardized \u201ctypes\u201d like a financial ledger might, but there are meaningful distinctions in how organizations apply it:<\/p>\n\n\n\n

            1) Model-driven Attribution Spend<\/h3>\n\n\n\n

            Budgets are adjusted based on a selected Attribution model (e.g., time-decay). This is common when experimentation is limited and teams need a consistent decision framework.<\/p>\n\n\n\n

            2) Incrementality-informed Attribution Spend<\/h3>\n\n\n\n

            Spend decisions are guided by lift testing, geo experiments, or holdouts. Here, Attribution<\/strong> modeling is supplemented (or corrected) by causal evidence. This is more robust, but also more resource-intensive.<\/p>\n\n\n\n

            3) Funnel-stage Attribution Spend<\/h3>\n\n\n\n

            Budgets are separated by objective:\n– Demand creation (top of funnel)\n– Consideration and nurture (mid funnel)\n– Conversion capture (bottom funnel)<\/p>\n\n\n\n

            This acknowledges that Conversion & Measurement<\/strong> should not judge all spend by immediate conversions.<\/p>\n\n\n\n

            4) Portfolio vs campaign-level Attribution Spend<\/h3>\n\n\n\n

            Some teams use Attribution Spend to rebalance broad channel portfolios (paid search vs paid social vs affiliates), while others manage it at a granular level (ad set, keyword, creative). The right level depends on data reliability and volume.<\/p>\n\n\n\n

            Real-World Examples of Attribution Spend<\/h2>\n\n\n\n

            Example 1: E-commerce balancing prospecting and branded search<\/h3>\n\n\n\n

            An e-commerce brand sees strong ROAS in platform reports for branded search, but multi-touch Attribution<\/strong> shows many customers first engaged via paid social video. By using Attribution Spend logic, the team protects branded search budgets (because it captures intent) while reallocating incremental budget to the prospecting campaigns that initiate journeys. In Conversion & Measurement<\/strong>, they track new-customer rate and contribution margin, not just last-click ROAS.<\/p>\n\n\n\n

            Example 2: B2B SaaS moving from leads to pipeline<\/h3>\n\n\n\n

            A SaaS company initially optimizes to cost per lead. After connecting CRM stages to marketing touchpoints, their Attribution<\/strong> model shows webinars and partner referrals generate fewer leads but much higher SQL-to-win rates. They shift Attribution Spend toward those sources and adjust reporting to pipeline and revenue. Their Conversion & Measurement<\/strong> improves because the \u201cconversion\u201d definition becomes business-relevant.<\/p>\n\n\n\n

            Example 3: Agency optimizing a multi-channel client portfolio<\/h3>\n\n\n\n

            An agency manages search, social, and email for a retail client. They build a shared taxonomy and a blended reporting view that compares credited revenue to cost across channels. Attribution Spend decisions are made weekly: pause low-contribution ad sets, increase budgets on campaigns with improving marginal returns, and reserve a testing budget for new creative. The agency\u2019s Conversion & Measurement<\/strong> process reduces client disputes because decisions are traceable to a documented Attribution approach.<\/p>\n\n\n\n

            Benefits of Using Attribution Spend<\/h2>\n\n\n\n

            Attribution Spend delivers value when it is paired with reliable Conversion & Measurement<\/strong> and realistic expectations about what models can prove.<\/p>\n\n\n\n

            Key benefits include:\n– Performance improvements<\/strong>: Better allocation increases conversion volume at the same budget or maintains volume at lower cost.\n– Cost savings<\/strong>: You identify \u201cexpensive conversions\u201d that look good in one platform but do not contribute meaningfully across journeys.\n– Operational efficiency<\/strong>: Teams spend less time debating opinions and more time executing measurable optimizations.\n– Budget confidence<\/strong>: Finance and leadership get clearer narratives on what drives revenue and where incremental spend is likely to work.\n– Customer experience alignment<\/strong>: When Attribution Spend supports full-funnel strategies, you avoid overly aggressive retargeting and invest in discovery and education that fits the buyer journey.<\/p>\n\n\n\n

            Challenges of Attribution Spend<\/h2>\n\n\n\n

            Attribution Spend is powerful, but it comes with real limitations:<\/p>\n\n\n\n

            Technical challenges<\/h3>\n\n\n\n
              \n
            • Identity fragmentation across devices and browsers<\/li>\n
            • Incomplete or inconsistent UTMs and campaign naming<\/li>\n
            • Ad blockers, cookie restrictions, and consent requirements affecting tracking<\/li>\n
            • Offline conversions and delayed revenue recognition (common in B2B)<\/li>\n<\/ul>\n\n\n\n

              Strategic risks<\/h3>\n\n\n\n
                \n
              • Over-optimizing to what is easiest to measure rather than what is most valuable<\/li>\n
              • Treating the Attribution model as \u201ctruth\u201d instead of a decision aid<\/li>\n
              • Starving upper-funnel channels because their impact is lagged<\/li>\n<\/ul>\n\n\n\n

                Implementation barriers<\/h3>\n\n\n\n
                  \n
                • Siloed teams: paid media, SEO, lifecycle, and analytics using different definitions<\/li>\n
                • Conflicting KPIs across departments<\/li>\n
                • Tool limitations or mismatched attribution windows<\/li>\n<\/ul>\n\n\n\n

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

                  Even strong Conversion & Measurement<\/strong> cannot perfectly observe all touchpoints. Dark social, word-of-mouth, and offline influences are hard to capture. Attribution Spend should therefore include room for experimentation and learning, not just model-based optimization.<\/p>\n\n\n\n

                  Best Practices for Attribution Spend<\/h2>\n\n\n\n

                  To make Attribution Spend reliable and scalable, focus on execution discipline:<\/p>\n\n\n\n

                    \n
                  1. \n

                    Define conversions with business intent<\/strong>\n – Separate \u201cplatform conversions\u201d from \u201cbusiness conversions\u201d\n – Track downstream quality (repeat purchase, retention, pipeline stage)<\/p>\n<\/li>\n

                  2. \n

                    Document your Attribution approach<\/strong>\n – Model used, windows used, and known blind spots\n – When and why you override model recommendations<\/p>\n<\/li>\n

                  3. \n

                    Use multiple lenses<\/strong>\n – Pair multi-touch Attribution<\/strong> with incrementality tests when possible\n – Use cohort analysis for lagged channels (content, SEO, partnerships)<\/p>\n<\/li>\n

                  4. \n

                    Reallocate with guardrails<\/strong>\n – Maintain minimum viable presence in key channels\n – Allocate a fixed testing budget so learning doesn\u2019t stop<\/p>\n<\/li>\n

                  5. \n

                    Monitor marginal returns, not just averages<\/strong>\n – The next dollar often performs differently than the average dollar\n – Watch for saturation and audience fatigue in paid social and display<\/p>\n<\/li>\n

                  6. \n

                    Build a pacing cadence<\/strong>\n – Weekly checks for spend efficiency and anomalies\n – Monthly reforecasting for strategic shifts\n – Quarterly reviews to refresh conversion definitions and measurement strategy<\/p>\n<\/li>\n

                  7. \n

                    Invest in measurement hygiene<\/strong>\n – Enforce naming conventions and validation rules\n – Reconcile costs and revenue across systems to support Conversion & Measurement<\/strong><\/p>\n<\/li>\n<\/ol>\n\n\n\n

                    Tools Used for Attribution Spend<\/h2>\n\n\n\n

                    Attribution Spend is enabled by a stack of systems rather than a single tool. Common tool groups include:<\/p>\n\n\n\n

                      \n
                    • Analytics tools<\/strong>: Measure sessions, events, funnels, and user behavior; provide baseline Conversion & Measurement<\/strong> reporting.<\/li>\n
                    • Ad platforms<\/strong>: Provide delivery, cost, and platform-level conversion signals; essential for spend pacing and execution.<\/li>\n
                    • CRM systems<\/strong>: Connect marketing touchpoints to pipeline, revenue, and customer lifecycle outcomes.<\/li>\n
                    • Marketing automation and email platforms<\/strong>: Track nurture performance, lead scoring, and lifecycle conversion paths.<\/li>\n
                    • Data warehouses and ETL\/ELT pipelines<\/strong>: Unify cost, touchpoints, and revenue; enable consistent Attribution<\/strong> logic across sources.<\/li>\n
                    • Reporting dashboards \/ BI tools<\/strong>: Operationalize Attribution Spend by making insights accessible and decision-ready.<\/li>\n
                    • SEO tools<\/strong>: Support Attribution Spend decisions for organic efforts by connecting content and keyword strategy to assisted conversions and downstream outcomes in Conversion & Measurement<\/strong>.<\/li>\n<\/ul>\n\n\n\n

                      The most important \u201ctool\u201d is often the data model and governance that makes channel comparisons fair and consistent.<\/p>\n\n\n\n

                      Metrics Related to Attribution Spend<\/h2>\n\n\n\n

                      To manage Attribution Spend well, track metrics that connect cost to credited and realized business outcomes:<\/p>\n\n\n\n

                        \n
                      • Attributed revenue \/ attributed conversions<\/strong>: Conversions or revenue assigned by your Attribution<\/strong> method.<\/li>\n
                      • Cost per attributed conversion (CPAC)<\/strong>: Spend divided by attributed conversions; useful when last-click is misleading.<\/li>\n
                      • Attributed ROAS \/ ROI<\/strong>: Attributed revenue divided by spend; compare across channels with the same methodology.<\/li>\n
                      • Incremental lift<\/strong>: Conversion increase versus a control group; a key validation metric for Attribution Spend.<\/li>\n
                      • Customer acquisition cost (CAC)<\/strong> and payback period<\/strong>: Especially important in SaaS and subscription businesses.<\/li>\n
                      • Contribution margin<\/strong>: Improves decision-making when products have different profitability.<\/li>\n
                      • New customer rate<\/strong>: Ensures Attribution Spend doesn\u2019t overfund repeat buyers at the expense of growth.<\/li>\n
                      • Assisted conversions and path length<\/strong>: Helps interpret upper-funnel impact in Conversion & Measurement<\/strong>.<\/li>\n
                      • Pipeline metrics (B2B)<\/strong>: MQL-to-SQL rate, win rate, and revenue per lead source.<\/li>\n<\/ul>\n\n\n\n

                        Future Trends of Attribution Spend<\/h2>\n\n\n\n

                        Several trends are reshaping how Attribution Spend is managed within Conversion & Measurement<\/strong>:<\/p>\n\n\n\n

                          \n
                        • Privacy-driven measurement shifts<\/strong>: Reduced third-party identifiers and stricter consent frameworks push teams toward first-party data, modeled conversions, and aggregated reporting.<\/li>\n
                        • More experimentation<\/strong>: Incrementality testing is becoming a practical necessity to validate Attribution<\/strong> outputs, not just an enterprise luxury.<\/li>\n
                        • AI-assisted analysis<\/strong>: Teams increasingly use automation to detect anomalies, recommend reallocations, and forecast outcomes. The best use of AI is decision support with transparency\u2014not \u201cblack box\u201d budgeting.<\/li>\n
                        • Better identity and data quality practices<\/strong>: More organizations invest in consistent event schemas, server-side collection, and CRM integration to stabilize Conversion & Measurement<\/strong>.<\/li>\n
                        • Full-funnel optimization<\/strong>: Attribution Spend is evolving beyond \u201cwhich ad got the sale\u201d toward \u201cwhich mix grows LTV and reduces churn,\u201d especially in subscription and marketplace models.<\/li>\n<\/ul>\n\n\n\n

                          Attribution Spend vs Related Terms<\/h2>\n\n\n\n

                          Attribution Spend vs Ad Spend<\/h3>\n\n\n\n

                          Ad spend<\/strong> is the money you pay platforms for media delivery. Attribution Spend<\/strong> is how you interpret and allocate that spend using Attribution<\/strong> and Conversion & Measurement<\/strong> insights. Ad spend is an input; Attribution Spend is a decision framework.<\/p>\n\n\n\n

                          Attribution Spend vs Marketing Mix Modeling (MMM)<\/h3>\n\n\n\n

                          MMM estimates channel impact at an aggregate level (often weekly) using statistical models and external factors. Attribution Spend is often more granular and touchpoint-based, though advanced teams blend MMM insights with multi-touch Attribution<\/strong> to guide Conversion & Measurement<\/strong> and budget allocation.<\/p>\n\n\n\n

                          Attribution Spend vs ROAS Optimization<\/h3>\n\n\n\n

                          ROAS optimization often relies on platform-reported conversions and can bias toward bottom-funnel signals. Attribution Spend uses a broader Attribution<\/strong> view (and ideally incrementality evidence) to avoid overfunding what merely captures demand.<\/p>\n\n\n\n

                          Who Should Learn Attribution Spend<\/h2>\n\n\n\n

                          Attribution Spend is useful across roles because it links measurement to budgeting:<\/p>\n\n\n\n

                            \n
                          • Marketers<\/strong>: Make smarter channel and campaign decisions aligned with business outcomes.<\/li>\n
                          • Analysts<\/strong>: Build trustworthy Conversion & Measurement<\/strong> frameworks that drive action, not just reports.<\/li>\n
                          • Agencies<\/strong>: Defend recommendations with a consistent Attribution methodology and reduce client conflict over channel credit.<\/li>\n
                          • Business owners and founders<\/strong>: Understand where growth actually comes from and fund it with confidence.<\/li>\n
                          • Developers and data engineers<\/strong>: Implement the tracking, pipelines, and data models that make Attribution Spend reliable and auditable.<\/li>\n<\/ul>\n\n\n\n

                            Summary of Attribution Spend<\/h2>\n\n\n\n

                            Attribution Spend is the practice of allocating and optimizing budget based on what your Attribution<\/strong> approach indicates is contributing to conversions and revenue. It belongs squarely in Conversion & Measurement<\/strong> because it turns tracking and analysis into concrete budget decisions. When executed with solid data hygiene, clear governance, and validation through experimentation, Attribution Spend helps teams reduce waste, scale what works, and manage marketing as an evidence-driven growth engine.<\/p>\n\n\n\n

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

                            1) What does Attribution Spend mean in practice?<\/h3>\n\n\n\n

                            Attribution Spend means you use an Attribution<\/strong> model (and ideally incrementality evidence) to decide where to increase, decrease, or maintain budget\u2014based on credited contribution to conversions, revenue, or pipeline.<\/p>\n\n\n\n

                            2) How is Attribution Spend different from last-click reporting?<\/h3>\n\n\n\n

                            Last-click assigns nearly all credit to the final touchpoint. Attribution Spend uses that credit allocation to guide budget, but it typically relies on broader Attribution<\/strong> views (multi-touch, data-driven, or experiment-informed) to avoid overfunding only bottom-funnel channels.<\/p>\n\n\n\n

                            3) Can Attribution Spend work if my tracking isn\u2019t perfect?<\/h3>\n\n\n\n

                            Yes, but you must treat it as directional. Strengthen Conversion & Measurement<\/strong> basics (consistent UTMs, conversion definitions, cost data) and use guardrails like tests and minimum channel budgets to reduce risk from measurement gaps.<\/p>\n\n\n\n

                            4) What\u2019s the best Attribution model for managing spend?<\/h3>\n\n\n\n

                            There isn\u2019t a universal best model. The right choice depends on sales cycle length, channel mix, and data quality. Many teams use one model for operational decisions and validate major shifts with incrementality tests as part of Conversion & Measurement<\/strong>.<\/p>\n\n\n\n

                            5) How often should we update budgets based on Attribution Spend insights?<\/h3>\n\n\n\n

                            Most teams benefit from weekly pacing checks and monthly reallocation decisions, with quarterly strategic reviews. High-velocity e-commerce may adjust faster; B2B may move slower due to longer conversion cycles and delayed revenue in Attribution<\/strong> reporting.<\/p>\n\n\n\n

                            6) Does Attribution Spend apply to SEO and content marketing?<\/h3>\n\n\n\n

                            Yes. While you don\u2019t \u201cbuy\u201d organic clicks the same way, you still invest in people, tools, and production. Attribution Spend thinking helps prioritize content and SEO efforts that assist conversions, influence demand, or improve downstream quality in Conversion & Measurement<\/strong>.<\/p>\n\n\n\n

                            7) What\u2019s the biggest mistake teams make with Attribution?<\/h3>\n\n\n\n

                            Treating Attribution<\/strong> outputs as definitive truth and making aggressive budget cuts based on incomplete data. Strong Attribution Spend combines model insights with business context, experiments, and an understanding of what your Conversion & Measurement<\/strong> system can and cannot observe.<\/p>\n","protected":false},"excerpt":{"rendered":"

                            Attribution Spend is the portion of your marketing budget that you allocate, evaluate, or reallocate based on what your Attribution analysis says is driving outcomes. In the context of **Conversion & Measurement**, it\u2019s the bridge between \u201cwhat we believe worked\u201d and \u201cwhere we actually put dollars next.\u201d Rather than treating spend as a fixed plan set at the start of a quarter, Attribution Spend turns measurement into an operating system for budgeting.<\/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-7100","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\/7100","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=7100"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/7100\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=7100"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=7100"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=7100"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}