{"id":8190,"date":"2026-03-25T18:10:36","date_gmt":"2026-03-25T18:10:36","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/automation-kpi\/"},"modified":"2026-03-25T18:10:36","modified_gmt":"2026-03-25T18:10:36","slug":"automation-kpi","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/automation-kpi\/","title":{"rendered":"Automation Kpi: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Marketing Automation"},"content":{"rendered":"\n

Automation Kpi is the set of measurable signals that tell you whether your automated customer journeys are actually working. In Direct & Retention Marketing<\/strong>, automation isn\u2019t just about sending emails or triggering push notifications\u2014it\u2019s about moving customers through lifecycle stages efficiently and predictably. An Automation Kpi framework turns that \u201cautomation activity\u201d into accountable business performance.<\/p>\n\n\n\n

In Marketing Automation<\/strong>, it\u2019s easy to mistake volume for value: more flows, more messages, more segmentation. Automation Kpi keeps teams grounded by connecting automated workflows to outcomes like revenue, retention, cost-to-serve, and customer experience quality. When chosen well, these KPIs help you prioritize the right automations, fix broken journeys, and scale programs without losing trust or deliverability.<\/p>\n\n\n\n

What Is Automation Kpi?<\/h2>\n\n\n\n

Automation Kpi refers to the key performance indicators used to evaluate automated marketing programs\u2014especially lifecycle messaging and triggered journeys. These KPIs measure both the effectiveness<\/em> (did it drive the desired customer action?) and the efficiency<\/em> (did it do so with minimal waste, errors, or manual effort?) of automation.<\/p>\n\n\n\n

The core concept is simple: automation should create repeatable outcomes. In Direct & Retention Marketing<\/strong>, those outcomes often include activation, repeat purchase, subscription renewal, churn reduction, and re-engagement. Automation Kpi provides the measurement layer that proves whether automated touchpoints are helping or hurting those outcomes.<\/p>\n\n\n\n

From a business perspective, Automation Kpi translates workflow performance into decisions: which flows to expand, which segments to refine, where to invest in data quality, and when to reduce message pressure. Inside Marketing Automation<\/strong>, it also acts as a control system\u2014flagging when a trigger misfires, a segment drifts, or a journey starts producing unintended results.<\/p>\n\n\n\n

Why Automation Kpi Matters in Direct & Retention Marketing<\/h2>\n\n\n\n

Automation Kpi matters because Direct & Retention Marketing<\/strong> runs on compounding gains. A small lift in onboarding completion, repeat purchase rate, or churn reduction can have an outsized impact on lifetime value. Without Automation Kpi, teams often optimize for surface metrics (like opens) and miss the real drivers (like retention cohorts or incremental revenue).<\/p>\n\n\n\n

Strategically, Automation Kpi creates clarity across teams. Product, CRM, analytics, and customer support can align on what \u201cgood\u201d looks like for automated journeys. This alignment reduces opinion-driven debates and replaces them with measurable thresholds: acceptable time-to-first-value, target conversion windows, or maximum complaint rates.<\/p>\n\n\n\n

The business value shows up in three places:\n– Better prioritization of automation builds (focus on high-impact lifecycle moments).\n– Faster diagnosis when performance drops (because you know which KPI moved first).\n– Stronger competitive advantage (because your journeys improve continuously, not randomly).<\/p>\n\n\n\n

In Marketing Automation<\/strong>, competitors can copy your messages; they can\u2019t easily copy your measurement discipline. A mature Automation Kpi practice becomes a durable edge.<\/p>\n\n\n\n

How Automation Kpi Works<\/h2>\n\n\n\n

Automation Kpi is less a single metric and more a measurement workflow applied to automated journeys. In practice, it works like this:<\/p>\n\n\n\n

    \n
  1. \n

    Input or trigger<\/strong>\n A customer event occurs (signup, first purchase, inactivity window, cart abandonment, plan downgrade). In Direct & Retention Marketing<\/strong>, these triggers define lifecycle intent.<\/p>\n<\/li>\n

  2. \n

    Analysis or processing<\/strong>\n The system evaluates customer attributes (segment membership, consent status, product usage, predicted churn risk). Data quality checks matter here: wrong identity stitching or delayed events can corrupt Automation Kpi results.<\/p>\n<\/li>\n

  3. \n

    Execution or application<\/strong>\n A workflow runs in Marketing Automation<\/strong>: send a message, personalize an offer, branch a journey, suppress a contact, or hand off to sales\/support.<\/p>\n<\/li>\n

  4. \n

    Output or outcome<\/strong>\n You measure short-term engagement (clicks, sessions) and downstream outcomes (conversion, retention, revenue, churn). Automation Kpi is the scoreboard that links automated actions to those results\u2014preferably with holdouts or incremental measurement when possible.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

    This is why Automation Kpi is both operational (is the system behaving correctly?) and strategic (is the journey delivering business lift?).<\/p>\n\n\n\n

    Key Components of Automation Kpi<\/h2>\n\n\n\n

    A strong Automation Kpi setup usually includes the following components:<\/p>\n\n\n\n

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

    Event tracking (web\/app\/product), campaign metadata, identity resolution, and consent records. In Direct & Retention Marketing<\/strong>, the most common failure is missing or delayed lifecycle events that skew time-based KPIs like \u201ctime to second purchase.\u201d<\/p>\n\n\n\n

    Processes and measurement design<\/h3>\n\n\n\n

    Definitions for conversions, attribution windows, cohort rules, and incrementality approaches. For Automation Kpi, consistency matters more than novelty\u2014changing definitions every quarter destroys comparability.<\/p>\n\n\n\n

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

    Marketing Automation<\/strong> platforms, CRM, analytics, data warehouse, and customer data pipelines. You don\u2019t need \u201cperfect\u201d architecture, but you do need reliable joins between message exposure and customer outcomes.<\/p>\n\n\n\n

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

    Clear ownership prevents KPI drift:\n– Marketing owns journey goals, messaging strategy, and experimentation.\n– Analytics owns definitions, dashboards, and statistical validity.\n– Engineering\/data owns event reliability and identity plumbing.\n– Compliance\/legal ensures consent and privacy constraints are met.<\/p>\n\n\n\n

    KPI hierarchy<\/h3>\n\n\n\n

    Automation Kpi is most useful when layered:\n– Journey health (deliverability, errors, throughput)\n– Engagement and intent signals\n– Business outcomes (revenue\/retention)\n– Efficiency (time saved, cost per conversion)<\/p>\n\n\n\n

    Types of Automation Kpi<\/h2>\n\n\n\n

    Automation Kpi doesn\u2019t have one universal taxonomy, but in Direct & Retention Marketing<\/strong> it\u2019s practical to group KPIs by what they diagnose:<\/p>\n\n\n\n

    1) Health and reliability KPIs<\/h3>\n\n\n\n

    These confirm workflows are running correctly: send failures, trigger latency, audience eligibility rates, suppression accuracy, and deliverability indicators.<\/p>\n\n\n\n

    2) Engagement KPIs<\/h3>\n\n\n\n

    These measure attention and interaction: opens (where applicable), clicks, CTR, session starts, push opens, in-app engagement, and reply rates for conversational channels.<\/p>\n\n\n\n

    3) Conversion and revenue KPIs<\/h3>\n\n\n\n

    These tie automation to business outcomes: conversion rate, revenue per recipient, average order value from automated flows, pipeline influenced (when applicable), and renewal rate.<\/p>\n\n\n\n

    4) Retention and lifecycle KPIs<\/h3>\n\n\n\n

    Core to Direct & Retention Marketing<\/strong>: repeat purchase rate, churn rate, reactivation rate, cohort retention curves, and time-to-next-purchase.<\/p>\n\n\n\n

    5) Efficiency and productivity KPIs<\/h3>\n\n\n\n

    These quantify operational leverage: time saved vs manual campaigns, cost per retained customer, marginal cost per automated conversion, and QA defect rate.<\/p>\n\n\n\n

    A mature Marketing Automation<\/strong> program tracks all five categories, but prioritizes a small \u201cnorth star\u201d set per journey.<\/p>\n\n\n\n

    Real-World Examples of Automation Kpi<\/h2>\n\n\n\n

    Example 1: Onboarding series for a subscription product<\/h3>\n\n\n\n

    A SaaS team uses Marketing Automation<\/strong> to trigger onboarding emails and in-app prompts after signup. Their Automation Kpi set includes:\n– Time-to-first-value (median time to key action)\n– Activation rate within 7 days\n– Trial-to-paid conversion rate (with a 14\u201330 day window)\n– Unsubscribe\/complaint rate (to protect deliverability)<\/p>\n\n\n\n

    In Direct & Retention Marketing<\/strong>, this connects onboarding performance directly to revenue and retention, not just email clicks.<\/p>\n\n\n\n

    Example 2: Cart abandonment automation for ecommerce<\/h3>\n\n\n\n

    A retailer runs a 3-step abandon cart sequence (email + SMS where consent exists). They measure Automation Kpi as:\n– Recovered revenue per triggered cart\n– Conversion rate within 24\/72 hours\n– Discount dependency rate (share of conversions requiring a coupon)\n– Incremental lift using a holdout group<\/p>\n\n\n\n

    This prevents a common trap in Marketing Automation<\/strong>: \u201crecovering\u201d orders that would have happened anyway while eroding margin.<\/p>\n\n\n\n

    Example 3: Winback journey for inactive customers<\/h3>\n\n\n\n

    A brand defines inactivity at 60 days and triggers a winback series. Automation Kpi includes:\n– Reactivation rate (purchase or meaningful engagement)\n– Post-reactivation 90-day retention\n– Spam complaint rate and list fatigue signals\n– Net revenue per reactivated user (accounting for incentives)<\/p>\n\n\n\n

    This is classic Direct & Retention Marketing<\/strong>: the goal isn\u2019t just a one-time conversion\u2014it\u2019s profitable re-entry into the lifecycle.<\/p>\n\n\n\n

    Benefits of Using Automation Kpi<\/h2>\n\n\n\n

    Automation Kpi improves performance by focusing teams on levers that compound:\n– Higher lifecycle conversion rates through targeted journey optimization\n– Better retention through timely interventions (onboarding, renewal, winback)\n– More reliable experimentation because success metrics are defined upfront<\/p>\n\n\n\n

    It also reduces cost and operational drag. In Marketing Automation<\/strong>, automations can sprawl; KPI-driven governance helps you prune low-value flows, reduce redundant messaging, and avoid over-segmentation that creates maintenance debt.<\/p>\n\n\n\n

    Customer experience improves when Automation Kpi includes quality metrics\u2014message relevance, complaint rates, and cadence controls. In Direct & Retention Marketing<\/strong>, the best programs treat trust and attention as scarce resources and measure them accordingly.<\/p>\n\n\n\n

    Challenges of Automation Kpi<\/h2>\n\n\n\n

    Automation Kpi is powerful, but it\u2019s easy to get wrong:<\/p>\n\n\n\n

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

    Automations often run across channels; customers convert later, on a different device, or via a different channel. Last-click metrics can undervalue earlier lifecycle touches, while broad attribution can over-credit automation.<\/p>\n\n\n\n

    Data quality and identity problems<\/h3>\n\n\n\n

    Trigger events can be late or duplicated, and identity resolution can be incomplete. These issues can inflate or deflate Automation Kpi values without any real change in customer behavior.<\/p>\n\n\n\n

    Conflicting goals across teams<\/h3>\n\n\n\n

    A retention team may optimize for reduced churn while finance pushes for margin, and support pushes for fewer tickets. In Direct & Retention Marketing<\/strong>, Automation Kpi must balance growth with experience and cost-to-serve.<\/p>\n\n\n\n

    Automation \u201cfalse confidence\u201d<\/h3>\n\n\n\n

    Because Marketing Automation<\/strong> runs continuously, teams may assume it\u2019s \u201chandled.\u201d Without KPI alerts and periodic audits, broken branches or misconfigured suppressions can run unnoticed for months.<\/p>\n\n\n\n

    Best Practices for Automation Kpi<\/h2>\n\n\n\n
      \n
    1. \n

      Start with journey-level goals, not channel metrics<\/strong>\n Define what success means for each lifecycle journey (activation, repeat purchase, renewal). Then choose Automation Kpi that measures that outcome plus guardrails.<\/p>\n<\/li>\n

    2. \n

      Use a KPI hierarchy with guardrails<\/strong>\n For every \u201cgrowth\u201d KPI (revenue per recipient), set protection KPIs (complaints, unsubscribes, opt-out rate, frequency caps). This is essential in Direct & Retention Marketing<\/strong>.<\/p>\n<\/li>\n

    3. \n

      Standardize definitions and windows<\/strong>\n Decide conversion windows (e.g., 24h, 7d, 30d) and stick to them. In Marketing Automation<\/strong>, inconsistent windows make optimization chaotic.<\/p>\n<\/li>\n

    4. \n

      Instrument triggers and latency<\/strong>\n Measure trigger-to-send time, trigger match rate, and audience eligibility. These operational Automation Kpi measures often explain downstream drops.<\/p>\n<\/li>\n

    5. \n

      Use holdouts or incremental testing where feasible<\/strong>\n Even a small persistent control group can reveal whether a journey truly adds lift versus shifting timing.<\/p>\n<\/li>\n

    6. \n

      Review and prune automations quarterly<\/strong>\n Kill or consolidate low-impact flows. Every automation has an opportunity cost: deliverability risk, engineering time, and customer attention.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

      Tools Used for Automation Kpi<\/h2>\n\n\n\n

      Automation Kpi is usually operationalized through a stack rather than a single tool:<\/p>\n\n\n\n

        \n
      • Analytics tools<\/strong> for event tracking, funnels, cohorts, and experimentation analysis. These help connect automated touchpoints to retention and revenue.<\/li>\n
      • Marketing Automation<\/strong> platforms to build journeys, apply segmentation, manage frequency, and capture message-level performance.<\/li>\n
      • CRM systems<\/strong> to manage customer profiles, lifecycle stages, and (where relevant) sales\/service handoffs in Direct & Retention Marketing<\/strong>.<\/li>\n
      • Data warehouses and ELT pipelines<\/strong> to unify campaign exposure, customer events, and orders\/subscriptions for trustworthy KPI computation.<\/li>\n
      • Reporting dashboards\/BI tools<\/strong> to standardize Automation Kpi reporting, drill-downs, and alerting.<\/li>\n
      • SEO tools and content analytics<\/strong> (when retention includes content engagement) to track returning visitors, content-driven reactivation, and lifecycle content performance.<\/li>\n<\/ul>\n\n\n\n

        The key is not the brand of tool, but the integrity of the data flow from trigger \u2192 message exposure \u2192 downstream outcome.<\/p>\n\n\n\n

        Metrics Related to Automation Kpi<\/h2>\n\n\n\n

        The most useful related metrics depend on your lifecycle goals, but these commonly support an Automation Kpi program:<\/p>\n\n\n\n

        Performance and outcome metrics<\/h3>\n\n\n\n
          \n
        • Conversion rate by journey step<\/li>\n
        • Revenue per recipient \/ per trigger<\/li>\n
        • Average order value (AOV) from automated journeys<\/li>\n
        • Renewal rate, expansion rate, churn rate (subscription models)<\/li>\n
        • Reactivation rate and repeat purchase rate<\/li>\n<\/ul>\n\n\n\n

          Efficiency metrics<\/h3>\n\n\n\n
            \n
          • Cost per conversion (including incentives and tooling costs)<\/li>\n
          • Time saved vs manual campaigns<\/li>\n
          • Incremental revenue per automation (net of discounts)<\/li>\n<\/ul>\n\n\n\n

            Engagement and experience metrics<\/h3>\n\n\n\n
              \n
            • Click-through rate, session starts, product actions completed<\/li>\n
            • Unsubscribe rate, opt-out rate, complaint rate<\/li>\n
            • Message frequency per user and per lifecycle stage<\/li>\n<\/ul>\n\n\n\n

              Quality and reliability metrics<\/h3>\n\n\n\n
                \n
              • Trigger match rate (how often eligible users enter)<\/li>\n
              • Trigger latency and send latency<\/li>\n
              • Deliverability indicators (bounce rates, inbox placement proxies)<\/li>\n
              • QA defect rate (broken links, wrong personalization, incorrect branching)<\/li>\n<\/ul>\n\n\n\n

                When Automation Kpi includes both outcomes and guardrails, it becomes safe to scale Marketing Automation<\/strong> without sacrificing trust.<\/p>\n\n\n\n

                Future Trends of Automation Kpi<\/h2>\n\n\n\n

                Automation Kpi is evolving as Direct & Retention Marketing<\/strong> becomes more data-driven and privacy-constrained:<\/p>\n\n\n\n

                  \n
                • AI-assisted optimization<\/strong> will suggest segments, timing, and message variants, but Automation Kpi will be the judge of whether AI changes actually improve retention and profitability.<\/li>\n
                • Deeper personalization<\/strong> will increase the need for governance KPIs\u2014measuring not only lift, but also fairness, consistency, and customer comfort.<\/li>\n
                • Privacy and measurement changes<\/strong> (reduced identifiers, stricter consent) will push teams toward first-party data strategies, modeled conversions, and more cohort-based reporting.<\/li>\n
                • Incrementality focus<\/strong> will grow. As automation becomes ubiquitous, leadership will demand proof of lift, not just activity metrics.<\/li>\n
                • Cross-functional KPI ownership<\/strong> will increase. Automation Kpi will increasingly sit at the intersection of marketing, product, and data\u2014especially for lifecycle experiences inside apps.<\/li>\n<\/ul>\n\n\n\n

                  In short: Marketing Automation<\/strong> will get smarter, but Automation Kpi will become more rigorous and business-centric.<\/p>\n\n\n\n

                  Automation Kpi vs Related Terms<\/h2>\n\n\n\n

                  Automation Kpi vs Marketing KPI<\/h3>\n\n\n\n

                  A marketing KPI can be any key measure (CAC, ROAS, brand lift). Automation Kpi is specifically tied to automated workflows and triggered journeys. It typically includes operational health measures (latency, eligibility) that general marketing KPIs don\u2019t cover.<\/p>\n\n\n\n

                  Automation Kpi vs Campaign KPI<\/h3>\n\n\n\n

                  Campaign KPIs often evaluate one-off pushes (a holiday blast, a limited-time offer). Automation Kpi evaluates always-on lifecycle programs. In Direct & Retention Marketing<\/strong>, this distinction matters because always-on journeys require ongoing monitoring and guardrails.<\/p>\n\n\n\n

                  Automation Kpi vs Funnel metrics<\/h3>\n\n\n\n

                  Funnel metrics describe user progression (visit \u2192 signup \u2192 purchase). Automation Kpi uses funnel metrics but frames them around automation\u2019s contribution\u2014what changed after an automation launched or was optimized, and whether the lift is incremental.<\/p>\n\n\n\n

                  Who Should Learn Automation Kpi<\/h2>\n\n\n\n
                    \n
                  • Marketers<\/strong> need Automation Kpi to prioritize journeys, improve lifecycle messaging, and protect customer experience in Direct & Retention Marketing<\/strong>.<\/li>\n
                  • Analysts<\/strong> use Automation Kpi to build credible measurement models, run incrementality tests, and ensure consistent definitions across teams.<\/li>\n
                  • Agencies<\/strong> rely on Automation Kpi to report value beyond \u201cemails sent\u201d and to create repeatable lifecycle frameworks for clients using Marketing Automation<\/strong>.<\/li>\n
                  • Business owners and founders<\/strong> benefit from Automation Kpi because it ties retention programs to revenue, margin, and LTV\u2014critical for sustainable growth.<\/li>\n
                  • Developers and marketing engineers<\/strong> need Automation Kpi to instrument events correctly, reduce trigger latency, and build reliable integrations that keep KPIs trustworthy.<\/li>\n<\/ul>\n\n\n\n

                    Summary of Automation Kpi<\/h2>\n\n\n\n

                    Automation Kpi is the measurement framework for automated lifecycle journeys\u2014tracking whether automation is reliable, efficient, and profitable. In Direct & Retention Marketing<\/strong>, it connects onboarding, retention, and winback programs to outcomes like conversion, repeat purchase, and churn reduction. Within Marketing Automation<\/strong>, Automation Kpi provides the governance and feedback loop needed to scale journeys safely, optimize continuously, and prove incremental impact.<\/p>\n\n\n\n

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

                    1) What is an Automation Kpi in simple terms?<\/h3>\n\n\n\n

                    Automation Kpi is a key metric (or small set of metrics) used to judge whether an automated customer journey is succeeding, such as activation rate, recovered revenue, or churn reduction\u2014plus quality guardrails like opt-outs.<\/p>\n\n\n\n

                    2) Which Automation Kpi should I track first?<\/h3>\n\n\n\n

                    Start with one outcome KPI tied to the journey goal (e.g., trial-to-paid conversion) and two guardrails (unsubscribe\/complaint rate and frequency). Add operational health KPIs (trigger match rate, latency) as soon as possible.<\/p>\n\n\n\n

                    3) How does Marketing Automation change which KPIs matter?<\/h3>\n\n\n\n

                    Marketing Automation<\/strong> adds operational KPIs that don\u2019t exist in manual campaigns\u2014like trigger latency, eligibility rate, suppression accuracy, and workflow error rate\u2014because system reliability directly affects outcomes.<\/p>\n\n\n\n

                    4) How do I know if an automation is actually incremental?<\/h3>\n\n\n\n

                    Use holdout groups, staggered rollouts, or persistent control cohorts. Compare downstream outcomes (revenue, retention) rather than only engagement, and keep the evaluation window consistent.<\/p>\n\n\n\n

                    5) What\u2019s a good set of guardrail KPIs for Direct & Retention Marketing?<\/h3>\n\n\n\n

                    In Direct & Retention Marketing<\/strong>, common guardrails include unsubscribe\/opt-out rate, complaint rate, bounce rate, message frequency per user, and customer support ticket rate tied to messaging confusion.<\/p>\n\n\n\n

                    6) How often should I review Automation Kpi dashboards?<\/h3>\n\n\n\n

                    Monitor core Automation Kpi weekly for major journeys (onboarding, cart, renewal). Review deeper cohort and incrementality analysis monthly or quarterly, and audit workflow logic quarterly to catch drift.<\/p>\n\n\n\n

                    7) Can Automation Kpi be used outside email?<\/h3>\n\n\n\n

                    Yes. Automation Kpi applies to any triggered experience\u2014SMS, push, in-app messaging, CRM tasks, ads synced to audiences, and even direct mail triggers\u2014so long as you can measure exposure and downstream behavior.<\/p>\n","protected":false},"excerpt":{"rendered":"

                    Automation Kpi is the set of measurable signals that tell you whether your automated customer journeys are actually working. In **Direct & Retention Marketing**, automation isn\u2019t just about sending emails or triggering push notifications\u2014it\u2019s about moving customers through lifecycle stages efficiently and predictably. An Automation Kpi framework turns that \u201cautomation activity\u201d into accountable business performance.<\/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":[1894],"tags":[],"class_list":["post-8190","post","type-post","status-publish","format-standard","hentry","category-marketing-automation"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/8190","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=8190"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/8190\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=8190"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=8190"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=8190"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}