{"id":7116,"date":"2026-03-24T00:54:12","date_gmt":"2026-03-24T00:54:12","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/cart-abandonment\/"},"modified":"2026-03-24T00:54:12","modified_gmt":"2026-03-24T00:54:12","slug":"cart-abandonment","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/cart-abandonment\/","title":{"rendered":"Cart Abandonment: What It Is, Key Features, Benefits, Use Cases, and How It Fits in CRO"},"content":{"rendered":"\n

Cart Abandonment happens when a shopper adds items to an online cart but leaves before completing the purchase. In Conversion & Measurement<\/strong>, it\u2019s one of the clearest signals that demand exists (the user showed intent) but the buying journey failed to convert. For CRO<\/strong> teams, it\u2019s a high-leverage problem because small improvements at checkout can translate into meaningful revenue gains without increasing ad spend.<\/p>\n\n\n\n

Modern customer journeys are fragmented across devices, channels, and sessions, so Cart Abandonment<\/strong> is rarely \u201cjust a user changed their mind.\u201d It\u2019s often the visible symptom of friction, uncertainty, or broken measurement. Treating it as a measurable, diagnosable funnel issue is a cornerstone of strong Conversion & Measurement<\/strong> strategy and a practical entry point into disciplined CRO<\/strong>.<\/p>\n\n\n\n

What Is Cart Abandonment?<\/h2>\n\n\n\n

Cart Abandonment<\/strong> is the event (and the resulting metric) where a user adds at least one product to an ecommerce cart but does not complete the order within a defined time window or session. The definition matters: some teams count abandonment at the cart page, others at the start of checkout, and others only after a user enters shipping or payment details.<\/p>\n\n\n\n

The core concept is intent without completion. A cart addition indicates product interest and a step toward purchase, while abandonment indicates a breakdown in motivation, trust, usability, price perception, or process.<\/p>\n\n\n\n

From a business standpoint, Cart Abandonment<\/strong> represents:\n– Uncaptured revenue from already-interested shoppers\n– A diagnostic lens into checkout friction and offer clarity\n– A segmentation opportunity (different abandonment reasons require different fixes)<\/p>\n\n\n\n

In Conversion & Measurement<\/strong>, it\u2019s a funnel drop-off point you can track, attribute, and prioritize. In CRO<\/strong>, it becomes a structured optimization program: identify abandonment drivers, test improvements, and validate the impact with rigorous measurement.<\/p>\n\n\n\n

Why Cart Abandonment Matters in Conversion & Measurement<\/h2>\n\n\n\n

Reducing Cart Abandonment<\/strong> tends to be more cost-effective than acquiring new traffic because it targets users who already expressed purchase intent. That makes it strategically important for growth teams balancing acquisition costs with profitability.<\/p>\n\n\n\n

In Conversion & Measurement<\/strong>, this metric helps you:\n– Quantify lost opportunity at a critical funnel stage\n– Detect channel quality differences (e.g., paid social vs. email)\n– Separate product demand from checkout experience issues\n– Prioritize fixes by revenue impact, not just UX opinions<\/p>\n\n\n\n

A strong CRO<\/strong> program also uses Cart Abandonment<\/strong> to build competitive advantage. Many brands compete on similar products and prices; a smoother checkout, clearer fees, and better reassurance can become the differentiator that turns \u201cmaybe\u201d into \u201cyes.\u201d<\/p>\n\n\n\n

How Cart Abandonment Works (In Practice)<\/h2>\n\n\n\n

Although Cart Abandonment<\/strong> is a concept, it plays out in a practical workflow that ties behavior to measurement and action:<\/p>\n\n\n\n

    \n
  1. \n

    Input \/ Trigger (user intent signals)<\/strong>\n The shopper adds an item to cart, views cart, starts checkout, or returns to the cart later. Inputs include device type, traffic source, new vs. returning status, cart value, and product category.<\/p>\n<\/li>\n

  2. \n

    Analysis \/ Processing (diagnosis in Conversion & Measurement)<\/strong>\n Teams examine where users exit (cart page, shipping step, payment step), what changed (shipping costs revealed, coupon fields, required login), and whether technical issues occurred (errors, slow loads, payment failures). This analysis blends behavioral analytics, funnel reports, and qualitative feedback.<\/p>\n<\/li>\n

  3. \n

    Execution \/ Application (CRO interventions)<\/strong>\n Actions may include UX fixes (simplifying forms), offer changes (shipping thresholds), trust improvements (returns policy clarity), performance tuning (speed), or lifecycle messaging (abandoned cart reminders). CRO<\/strong> uses controlled testing where possible to avoid mistaking correlation for causation.<\/p>\n<\/li>\n

  4. \n

    Output \/ Outcome (measured impact)<\/strong>\n The result is a change in checkout completion rate, revenue, and customer experience metrics. In Conversion & Measurement<\/strong>, you validate impact with clean event tracking and consistent definitions\u2014otherwise \u201cimprovement\u201d can be a reporting artifact.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

    Key Components of Cart Abandonment<\/h2>\n\n\n\n

    Effective Cart Abandonment<\/strong> work spans systems, process, and governance:<\/p>\n\n\n\n

    Data and tracking foundations<\/h3>\n\n\n\n
      \n
    • Event instrumentation<\/strong>: add-to-cart, view-cart, begin-checkout, step completion, purchase, errors, payment failures <\/li>\n
    • Identity considerations<\/strong>: logged-in vs. guest, cross-device continuity, session stitching limitations <\/li>\n
    • Attribution inputs<\/strong>: channel, campaign, landing page, coupon usage, and product-level data<\/li>\n<\/ul>\n\n\n\n

      Operational processes<\/h3>\n\n\n\n
        \n
      • Funnel audits<\/strong>: step-by-step review of where and why users drop <\/li>\n
      • Voice-of-customer loops<\/strong>: surveys, support tickets, session replays, and usability testing <\/li>\n
      • Testing pipeline<\/strong>: hypothesis backlog, experiment design, and post-test analysis<\/li>\n<\/ul>\n\n\n\n

        Team responsibilities<\/h3>\n\n\n\n
          \n
        • Marketing and lifecycle: messaging, incentives, and remarketing alignment <\/li>\n
        • Product\/UX: checkout design, friction reduction, and trust elements <\/li>\n
        • Engineering: performance, stability, payment integrations, and error handling <\/li>\n
        • Analytics: definitions, tagging, dashboards, and experiment measurement<\/li>\n<\/ul>\n\n\n\n

          These components keep Cart Abandonment<\/strong> from becoming a vague \u201cwe need better checkout\u201d goal and turn it into measurable Conversion & Measurement<\/strong> work.<\/p>\n\n\n\n

          Types of Cart Abandonment (Useful Distinctions)<\/h2>\n\n\n\n

          There aren\u2019t universal \u201cofficial\u201d types, but practical distinctions help teams diagnose causes and prioritize CRO<\/strong> work:<\/p>\n\n\n\n

          By funnel stage<\/h3>\n\n\n\n
            \n
          • Cart-page abandonment<\/strong>: users leave after seeing cart contents (often driven by price comparison, distraction, or uncertainty) <\/li>\n
          • Checkout-start abandonment<\/strong>: users begin checkout but exit early (often driven by forced login, complexity, or lack of trust) <\/li>\n
          • Late-checkout abandonment<\/strong>: users reach shipping\/payment steps and leave (commonly driven by fees, delivery timing, or payment issues)<\/li>\n<\/ul>\n\n\n\n

            By intent strength<\/h3>\n\n\n\n
              \n
            • Exploratory carts<\/strong>: shoppers use the cart like a wishlist or price calculator <\/li>\n
            • High-intent carts<\/strong>: users repeatedly return, apply coupons, or view shipping options\u2014strong candidates for recovery tactics<\/li>\n<\/ul>\n\n\n\n

              By cause category (most actionable)<\/h3>\n\n\n\n
                \n
              • Cost shock<\/strong> (shipping, taxes, fees) <\/li>\n
              • Trust gaps<\/strong> (returns, warranties, security cues, unclear policies) <\/li>\n
              • Usability friction<\/strong> (forms, address lookup, errors, slow pages) <\/li>\n
              • Payment constraints<\/strong> (missing preferred method, declined payments, installment options) <\/li>\n
              • Decision delay<\/strong> (need approval, comparing alternatives, waiting for payday)<\/li>\n<\/ul>\n\n\n\n

                Real-World Examples of Cart Abandonment<\/h2>\n\n\n\n

                Example 1: Shipping cost surprise on mobile<\/h3>\n\n\n\n

                A retailer sees high Cart Abandonment<\/strong> on mobile at the shipping step. Conversion & Measurement<\/strong> shows a sharp drop when shipping fees appear, especially for low cart values. The CRO<\/strong> response is to test earlier shipping estimation on product pages and the cart, plus a free-shipping threshold message. Measurement focuses on completed orders and margin impact, not just click-through.<\/p>\n\n\n\n

                Example 2: Forced account creation reduces checkout completion<\/h3>\n\n\n\n

                An ecommerce brand requires account creation before payment. Funnel analysis reveals checkout-start abandonment spikes at the login wall. The CRO<\/strong> solution is to introduce guest checkout, simplify sign-up to post-purchase, and add \u201csave details later\u201d messaging. Conversion & Measurement<\/strong> confirms whether conversion improves without harming repeat purchase rates.<\/p>\n\n\n\n

                Example 3: Payment failures and hidden errors<\/h3>\n\n\n\n

                A subscription store observes Cart Abandonment<\/strong> rising after a payment provider update. Error events aren\u2019t tracked, so reporting initially misses the cause. After adding payment error instrumentation and monitoring, the team identifies device\/browser-specific failures and fixes them. This is a strong reminder that Conversion & Measurement<\/strong> quality directly affects CRO<\/strong> outcomes.<\/p>\n\n\n\n

                Benefits of Using Cart Abandonment Insights<\/h2>\n\n\n\n

                When treated as a measurable optimization program, Cart Abandonment<\/strong> work can deliver:<\/p>\n\n\n\n

                  \n
                • Performance improvements<\/strong>: higher conversion rate and more completed checkouts from the same traffic <\/li>\n
                • Cost savings<\/strong>: better efficiency of paid media spend by converting existing intent <\/li>\n
                • Operational efficiency<\/strong>: fewer support contacts related to checkout confusion and payment issues <\/li>\n
                • Customer experience gains<\/strong>: clearer pricing, smoother forms, and reduced frustration <\/li>\n
                • Better forecasting<\/strong>: more predictable revenue when funnel leakage is reduced and monitored<\/li>\n<\/ul>\n\n\n\n

                  Importantly, CRO<\/strong> benefits compound: a checkout fix often lifts performance across multiple channels, improving overall Conversion & Measurement<\/strong> outcomes.<\/p>\n\n\n\n

                  Challenges of Cart Abandonment<\/h2>\n\n\n\n

                  Cart Abandonment<\/strong> is simple to name but tricky to diagnose accurately:<\/p>\n\n\n\n

                    \n
                  • Measurement ambiguity<\/strong>: inconsistent definitions (cart vs. checkout) can produce misleading trends in Conversion & Measurement<\/strong> <\/li>\n
                  • Cross-device behavior<\/strong>: users often add to cart on mobile and purchase later on desktop; na\u00efve reporting may overstate abandonment <\/li>\n
                  • Attribution limitations<\/strong>: identifying what influenced return purchases can be difficult with privacy constraints <\/li>\n
                  • Qualitative blind spots<\/strong>: analytics can show where users drop, not always why <\/li>\n
                  • Experiment complexity<\/strong>: changes to checkout can affect fraud rates, support volume, and margins\u2014CRO<\/strong> needs guardrails <\/li>\n
                  • Technical debt<\/strong>: slow pages, brittle integrations, and limited testing environments can slow improvements<\/li>\n<\/ul>\n\n\n\n

                    Best Practices for Cart Abandonment<\/h2>\n\n\n\n

                    Make costs and delivery expectations visible early<\/h3>\n\n\n\n

                    Display shipping estimates, delivery windows, and returns information before checkout. Cost shock is a common driver of Cart Abandonment<\/strong>, and transparency improves trust.<\/p>\n\n\n\n

                    Reduce friction at the highest-drop steps<\/h3>\n\n\n\n

                    Use your funnel to identify the step with the biggest drop-off and start there. In CRO<\/strong>, the biggest wins often come from removing one or two major blockers rather than \u201credesigning everything.\u201d<\/p>\n\n\n\n

                    Offer guest checkout and simplify forms<\/h3>\n\n\n\n

                    Minimize required fields, support autofill, and avoid forcing account creation. Each additional field is a potential abandonment point.<\/p>\n\n\n\n

                    Improve trust signals without clutter<\/h3>\n\n\n\n

                    Use clear policy language (returns, warranties), concise security reassurance, and recognizable payment method icons. The goal is confidence, not noise.<\/p>\n\n\n\n

                    Build a recovery program that respects intent<\/h3>\n\n\n\n

                    Abandoned-cart reminders can work well when they:\n– trigger quickly for high-intent carts\n– include the exact items left behind\n– handle out-of-stock scenarios gracefully\n– avoid over-discounting by segmenting incentives<\/p>\n\n\n\n

                    Monitor continuously with clean Conversion & Measurement definitions<\/h3>\n\n\n\n

                    Track abandonment trends by device, channel, cart value, and checkout step. Set alerts for sudden spikes that could indicate technical issues.<\/p>\n\n\n\n

                    Tools Used for Cart Abandonment<\/h2>\n\n\n\n

                    You don\u2019t \u201csolve\u201d Cart Abandonment<\/strong> with a single tool; you manage it with an ecosystem that supports Conversion & Measurement<\/strong> and CRO<\/strong> workflows:<\/p>\n\n\n\n

                      \n
                    • Analytics tools<\/strong>: event tracking, funnel visualization, cohort analysis, and segmentation <\/li>\n
                    • Tag management systems<\/strong>: consistent event definitions and controlled rollout of tracking changes <\/li>\n
                    • Experimentation platforms<\/strong>: A\/B tests and holdouts to validate checkout improvements <\/li>\n
                    • Behavioral research tools<\/strong>: session replays, heatmaps, and on-site surveys to uncover friction and confusion <\/li>\n
                    • Marketing automation tools<\/strong>: abandoned-cart email\/SMS, personalization rules, and lifecycle journeys <\/li>\n
                    • CRM systems<\/strong>: customer history and segmentation for more relevant recovery messaging <\/li>\n
                    • Ad platforms<\/strong>: remarketing audiences based on cart events (used carefully with privacy and consent) <\/li>\n
                    • Reporting dashboards<\/strong>: shared visibility into funnel KPIs, anomalies, and experiment results<\/li>\n<\/ul>\n\n\n\n

                      The key is integration: if your tools disagree on what \u201cabandoned\u201d means, your Conversion & Measurement<\/strong> program will produce conflicting conclusions.<\/p>\n\n\n\n

                      Metrics Related to Cart Abandonment<\/h2>\n\n\n\n

                      To manage Cart Abandonment<\/strong> effectively, track it alongside supporting metrics that explain causes and trade-offs:<\/p>\n\n\n\n

                      Core funnel metrics<\/h3>\n\n\n\n
                        \n
                      • Cart abandonment rate<\/strong>: commonly calculated as\n1 \u2212 (number of purchases \u00f7 number of carts with at least one add-to-cart)<\/em>\n Define the time window and whether you count unique users, sessions, or events.<\/li>\n
                      • Checkout abandonment rate<\/strong>: drop-off after checkout begins (often more actionable than cart-level alone) <\/li>\n
                      • Step conversion rates<\/strong>: shipping step completion, payment step completion, review step completion<\/li>\n<\/ul>\n\n\n\n

                        Revenue and efficiency metrics<\/h3>\n\n\n\n
                          \n
                        • Recovered revenue<\/strong>: revenue from users who abandoned but returned within a defined window <\/li>\n
                        • Revenue per visitor \/ session<\/strong>: captures the combined effect of conversion and basket value <\/li>\n
                        • Cost per acquisition (blended)<\/strong>: often improves when CRO<\/strong> reduces abandonment<\/li>\n<\/ul>\n\n\n\n

                          Experience and quality indicators<\/h3>\n\n\n\n
                            \n
                          • Page speed and error rate<\/strong>: especially on checkout and payment steps <\/li>\n
                          • Payment authorization success rate<\/strong>: declines can masquerade as \u201cbehavioral\u201d abandonment <\/li>\n
                          • Support contact rate by checkout topic<\/strong>: a practical proxy for friction<\/li>\n<\/ul>\n\n\n\n

                            Future Trends of Cart Abandonment<\/h2>\n\n\n\n

                            Cart Abandonment<\/strong> is evolving as ecommerce, privacy, and automation change Conversion & Measurement<\/strong>:<\/p>\n\n\n\n

                              \n
                            • AI-driven personalization<\/strong>: smarter timing and content for recovery messages, and more dynamic checkout experiences (while avoiding manipulative patterns) <\/li>\n
                            • Predictive intent scoring<\/strong>: using behavior signals to identify which abandonments are likely to convert without discounts versus those needing reassurance <\/li>\n
                            • Privacy-first measurement<\/strong>: more reliance on first-party data, modeled conversions, and aggregated reporting\u2014requiring tighter definitions and better instrumentation <\/li>\n
                            • Faster checkout patterns<\/strong>: broader adoption of digital wallets, saved details, and one-tap payments can reduce friction (and shift where abandonment occurs) <\/li>\n
                            • Omnichannel continuity<\/strong>: carts that persist across devices and channels will change how teams define and measure abandonment in Conversion & Measurement<\/strong><\/li>\n<\/ul>\n\n\n\n

                              For CRO<\/strong>, the trend is clear: optimization will increasingly combine experimentation with quality measurement, not just UX tweaks.<\/p>\n\n\n\n

                              Cart Abandonment vs Related Terms<\/h2>\n\n\n\n

                              Cart Abandonment vs Checkout Abandonment<\/h3>\n\n\n\n

                              Cart Abandonment<\/strong> includes anyone who adds to cart and leaves. Checkout abandonment<\/strong> is narrower: users who start checkout but don\u2019t finish. Checkout abandonment usually points more directly to process friction, while cart-level abandonment can include browsing and comparison behavior.<\/p>\n\n\n\n

                              Cart Abandonment vs Bounce Rate<\/h3>\n\n\n\n

                              Bounce rate describes leaving after viewing a single page (often a landing page). Cart Abandonment<\/strong> occurs deeper in the journey and implies stronger purchase intent. In Conversion & Measurement<\/strong>, conflating them can mislead priorities.<\/p>\n\n\n\n

                              Cart Abandonment vs Funnel Drop-Off<\/h3>\n\n\n\n

                              Funnel drop-off is the broader concept of users exiting at any step. Cart Abandonment<\/strong> is a specific, revenue-critical drop-off point that often deserves dedicated CRO<\/strong> attention, tooling, and reporting.<\/p>\n\n\n\n

                              Who Should Learn Cart Abandonment<\/h2>\n\n\n\n
                                \n
                              • Marketers<\/strong> benefit by improving paid and lifecycle efficiency and aligning messaging with real friction points. <\/li>\n
                              • Analysts<\/strong> need it to build accurate funnels, define events, and interpret channel performance within Conversion & Measurement<\/strong>. <\/li>\n
                              • Agencies<\/strong> use it to deliver measurable wins quickly, especially when acquisition performance is plateauing. <\/li>\n
                              • Business owners and founders<\/strong> rely on it to protect margin and forecast growth without endlessly increasing spend. <\/li>\n
                              • Developers<\/strong> benefit because many abandonment drivers are technical (performance, errors, payment integrations), and clean instrumentation is foundational to CRO<\/strong>.<\/li>\n<\/ul>\n\n\n\n

                                Summary of Cart Abandonment<\/h2>\n\n\n\n

                                Cart Abandonment<\/strong> is when shoppers add items to a cart but don\u2019t purchase. It matters because it reveals high-intent demand that is failing to convert\u2014often due to fixable friction, cost surprises, trust gaps, or technical issues. In Conversion & Measurement<\/strong>, it\u2019s a key funnel metric that must be defined and tracked consistently. In CRO<\/strong>, it becomes a structured program of diagnosis, testing, and improvement that can drive significant revenue gains from existing traffic.<\/p>\n\n\n\n

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

                                1) What is Cart Abandonment and how is it calculated?<\/h3>\n\n\n\n

                                Cart Abandonment<\/strong> is when users add to cart but don\u2019t complete a purchase. A common calculation is:\n1 \u2212 (purchases \u00f7 carts)<\/strong>, with a clearly defined time window and unit (users, sessions, or events).<\/p>\n\n\n\n

                                2) What\u2019s the difference between cart abandonment and checkout abandonment?<\/h3>\n\n\n\n

                                Cart abandonment includes users who never start checkout. Checkout abandonment focuses on users who begin checkout but don\u2019t finish, which often points more directly to usability, trust, or payment-step issues.<\/p>\n\n\n\n

                                3) Which CRO changes usually reduce abandonment the fastest?<\/h3>\n\n\n\n

                                In CRO<\/strong>, the fastest wins often come from removing forced account creation, reducing form fields, improving speed, clarifying total cost earlier, and fixing payment errors\u2014validated through controlled testing and solid Conversion & Measurement<\/strong>.<\/p>\n\n\n\n

                                4) Should we always use discounts to recover abandoned carts?<\/h3>\n\n\n\n

                                Not always. Discounts can train customers to wait and can reduce margin. Segment recovery tactics: use reassurance and convenience first, reserve incentives for price-sensitive segments, and measure net profit impact in Conversion & Measurement<\/strong>.<\/p>\n\n\n\n

                                5) How do I know if abandonment is caused by bad traffic or a broken checkout?<\/h3>\n\n\n\n

                                Compare abandonment by channel and device, and check step-level drop-offs and error rates. If a specific step suddenly spikes or errors increase, it\u2019s likely technical. If certain channels abandon more consistently, it may be traffic quality or message-match.<\/p>\n\n\n\n

                                6) How long should we wait before sending an abandoned cart message?<\/h3>\n\n\n\n

                                Timing depends on intent and purchase cycle. Many teams trigger messages sooner for high-intent carts and later for higher-consideration products. Use Conversion & Measurement<\/strong> to test timing and validate incremental lift.<\/p>\n\n\n\n

                                7) What are the most important metrics to monitor alongside abandonment?<\/h3>\n\n\n\n

                                Track checkout step conversion rates, payment success rate, page speed, recovered revenue, and revenue per visitor. These metrics help explain why<\/em> Cart Abandonment<\/strong> changes and keep CRO<\/strong> decisions grounded in outcomes.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                Cart Abandonment happens when a shopper adds items to an online cart but leaves before completing the purchase. In **Conversion & Measurement**, it\u2019s one of the clearest signals that demand exists (the user showed intent) but the buying journey failed to convert. For **CRO** teams, it\u2019s a high-leverage problem because small improvements at checkout can translate into meaningful revenue gains without increasing ad spend.<\/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":[1889],"tags":[],"class_list":["post-7116","post","type-post","status-publish","format-standard","hentry","category-cro"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/7116","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=7116"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/7116\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=7116"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=7116"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=7116"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}