{"id":8358,"date":"2026-03-26T00:18:59","date_gmt":"2026-03-26T00:18:59","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/referral-completion-rate\/"},"modified":"2026-03-26T00:18:59","modified_gmt":"2026-03-26T00:18:59","slug":"referral-completion-rate","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/referral-completion-rate\/","title":{"rendered":"Referral Completion Rate: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Referral Marketing"},"content":{"rendered":"\n

Referral Completion Rate is the percentage of referral attempts that successfully reach the intended \u201ccompletion\u201d event\u2014such as a referred friend creating an account, making a first purchase, booking a demo, or activating a subscription. In Direct & Retention Marketing<\/strong>, it\u2019s a critical reality check: it tells you whether your Referral Marketing<\/strong> program is truly converting word-of-mouth intent into measurable outcomes.<\/p>\n\n\n\n

Modern Direct & Retention Marketing<\/strong> strategies depend on compounding growth loops\u2014email, SMS, lifecycle messaging, loyalty, and referrals working together. Referral Completion Rate sits at the heart of that loop. If you drive lots of shares but few completions, your program may look busy while underperforming financially. If you improve completion, you often increase revenue without increasing acquisition spend, making Referral Marketing<\/strong> more scalable and more defensible.<\/p>\n\n\n\n

What Is Referral Completion Rate?<\/h2>\n\n\n\n

Referral Completion Rate<\/strong> measures how often a referral flow ends in success. A \u201creferral flow\u201d typically starts when an existing customer (the referrer) shares an invite and ends when the referred person completes a defined goal.<\/p>\n\n\n\n

A simple definition:<\/p>\n\n\n\n

    \n
  • Referral Completion Rate = Completed referrals \u00f7 Referral attempts (or referral starts) \u00d7 100<\/strong><\/li>\n<\/ul>\n\n\n\n

    The \u201ccompletion\u201d must be defined by the business. For an eCommerce brand, completion might mean \u201cfirst purchase.\u201d For SaaS, it might be \u201ctrial signup\u201d or \u201cpaid conversion.\u201d For a marketplace, it might be \u201cfirst transaction on either side.\u201d<\/p>\n\n\n\n

    The core concept is that referrals are not a single action; they are a multi-step journey<\/strong> with friction at each step. In Direct & Retention Marketing<\/strong>, Referral Completion Rate helps teams pinpoint where that friction lives\u2014message delivery, landing page, signup, eligibility checks, attribution, or reward redemption.<\/p>\n\n\n\n

    Within Referral Marketing<\/strong>, it functions as a conversion metric that complements top-of-funnel referral volume. Volume answers \u201cHow many invites were sent?\u201d Referral Completion Rate answers \u201cHow many actually turned into the outcome we care about?\u201d<\/p>\n\n\n\n

    Why Referral Completion Rate Matters in Direct & Retention Marketing<\/h2>\n\n\n\n

    In Direct & Retention Marketing<\/strong>, you\u2019re optimizing repeatable systems, not one-off campaigns. Referral Completion Rate matters because it directly influences:<\/p>\n\n\n\n

      \n
    • Program ROI:<\/strong> Higher completion yields more customers or revenue per referral impression, reducing the effective cost per acquisition.<\/li>\n
    • Predictability:<\/strong> When completion is stable and measured correctly, you can forecast the outcome of adding more referral exposure (in-app placements, email modules, post-purchase prompts).<\/li>\n
    • Customer experience:<\/strong> A clean, fast completion path reduces drop-offs and increases trust in the brand\u2019s referral promise.<\/li>\n
    • Competitive advantage:<\/strong> If competitors have similar offers, the program with the smoother flow often wins\u2014better UX and fewer hoops can outperform bigger rewards.<\/li>\n<\/ul>\n\n\n\n

      Referral Completion Rate also bridges teams. Growth marketers, lifecycle owners, product managers, and analytics teams can align around a shared outcome. That makes Referral Marketing<\/strong> easier to prioritize and easier to improve systematically within Direct & Retention Marketing<\/strong> operations.<\/p>\n\n\n\n

      How Referral Completion Rate Works<\/h2>\n\n\n\n

      Referral Completion Rate is measured, but it\u2019s also managed. In practice, it follows a workflow that looks like this:<\/p>\n\n\n\n

        \n
      1. Input or trigger:<\/strong> A customer shares a referral link\/code via email, SMS, social, or a direct share sheet. The referred person clicks and lands in a referral experience.<\/li>\n
      2. Analysis or processing:<\/strong> The system identifies the referral source and validates eligibility (new user rules, fraud checks, region limitations, offer constraints). Attribution logic connects referrer and referred.<\/li>\n
      3. Execution or application:<\/strong> The referred person completes the required steps\u2014signup, verification, first order, first session, first booking, or payment.<\/li>\n
      4. Output or outcome:<\/strong> The completion event fires, is tracked in analytics, and often triggers incentives (credits, discounts, points) and lifecycle messages. Referral Completion Rate is updated based on starts vs completions.<\/li>\n<\/ol>\n\n\n\n

        Because Referral Marketing<\/strong> involves identity and incentives, completion depends on both marketing and product mechanics. That\u2019s why Referral Completion Rate is a natural \u201cshared metric\u201d in Direct & Retention Marketing<\/strong>: it exposes friction that neither marketing nor product can fix alone.<\/p>\n\n\n\n

        Key Components of Referral Completion Rate<\/h2>\n\n\n\n

        To measure and improve Referral Completion Rate reliably, you need a few core elements working together:<\/p>\n\n\n\n

        1) Clear definitions and event tracking<\/h3>\n\n\n\n

        You need a consistent definition of:\n– What counts as a referral start<\/strong> (invite sent, link clicked, landing page viewed, signup started).\n– What counts as a referral completion<\/strong> (account created, first purchase, paid conversion, first booking).\n– Time windows (e.g., completion within 7\/14\/30 days).<\/p>\n\n\n\n

        2) Attribution and identity resolution<\/h3>\n\n\n\n

        Referral flows require connecting:\n– Referrer identity (customer ID)\n– Referred identity (new user ID)\n– The referral touchpoint (link, code, campaign placement)<\/p>\n\n\n\n

        3) Offer rules and eligibility governance<\/h3>\n\n\n\n

        Rules should be documented and versioned:\n– New customer requirements\n– Minimum order value\n– Product exclusions\n– Geographic limits\n– Reward caps and expiration<\/p>\n\n\n\n

        4) Fraud prevention and quality controls<\/h3>\n\n\n\n

        Referral programs attract abuse. Without safeguards, Referral Completion Rate may look high while being unprofitable. Controls include:\n– Duplicate account detection\n– Payment\/identity verification thresholds\n– Velocity checks (too many referrals too fast)\n– Device and behavioral signals<\/p>\n\n\n\n

        5) Ownership and operational cadence<\/h3>\n\n\n\n

        In Direct & Retention Marketing<\/strong>, the best programs have:\n– A single metric owner (often lifecycle or growth)\n– Analytics support for measurement integrity\n– Product support for UX improvements\n– Customer support alignment for edge cases and reward disputes<\/p>\n\n\n\n

        Types of Referral Completion Rate<\/h2>\n\n\n\n

        Referral Completion Rate doesn\u2019t have universal \u201cformal types,\u201d but in real-world Referral Marketing<\/strong>, teams use meaningful distinctions to avoid misleading averages:<\/p>\n\n\n\n

        Referrer-to-referred funnel stage rates<\/h3>\n\n\n\n
          \n
        • Click-to-completion rate:<\/strong> Completions \u00f7 referral link clicks <\/li>\n
        • Signup-to-completion rate:<\/strong> Completions \u00f7 referred signups\nThese isolate friction after the click, which is often where Direct & Retention Marketing<\/strong> teams can optimize onboarding and conversion.<\/li>\n<\/ul>\n\n\n\n

          Offer-specific completion rates<\/h3>\n\n\n\n

          Track Referral Completion Rate by incentive structure:\n– Double-sided (both parties rewarded)\n– Single-sided (only referrer or only referred rewarded)\n– Tiered rewards (more reward with more referrals)<\/p>\n\n\n\n

          Channel- or placement-level completion rates<\/h3>\n\n\n\n

          Completion varies by where the referral is initiated:\n– Post-purchase page vs account dashboard\n– Email module vs in-app prompt\n– SMS share vs copied link<\/p>\n\n\n\n

          Cohort-based completion rates<\/h3>\n\n\n\n

          Compare:\n– New customers vs loyal customers as referrers\n– High LTV segments vs discount-driven segments\n– Regions, device types, or acquisition cohorts<\/p>\n\n\n\n

          These views make Direct & Retention Marketing<\/strong> optimization more precise and keep Referral Marketing<\/strong> decisions grounded in segment economics.<\/p>\n\n\n\n

          Real-World Examples of Referral Completion Rate<\/h2>\n\n\n\n

          Example 1: eCommerce \u201cGive $10, Get $10\u201d program<\/h3>\n\n\n\n

          An online retailer drives referral invites via post-checkout and email. They notice strong share volume but a low Referral Completion Rate from click to first purchase. Investigation shows the landing page applies the discount only at checkout, with unclear messaging. By showing the discount applied in-cart and simplifying eligibility copy, the brand increases Referral Completion Rate and reduces customer support tickets. This is classic Direct & Retention Marketing<\/strong>: lifecycle messaging plus UX improvements to strengthen Referral Marketing<\/strong> outcomes.<\/p>\n\n\n\n

          Example 2: SaaS trial referrals with activation as the completion event<\/h3>\n\n\n\n

          A SaaS company defines completion as \u201creferred user activates core feature within 7 days.\u201d Initial Referral Completion Rate is low even though signups are high. The issue isn\u2019t acquisition; it\u2019s onboarding. The team adds a referral-specific onboarding path, in-app checklists, and triggered emails. Completion improves because the program optimizes activation\u2014not just signups\u2014aligning Referral Marketing<\/strong> with retention goals inside Direct & Retention Marketing<\/strong>.<\/p>\n\n\n\n

          Example 3: Marketplace referrals with fraud pressure<\/h3>\n\n\n\n

          A two-sided marketplace offers credits after the first completed transaction. Referral Completion Rate spikes, but unit economics worsen due to self-referrals and low-quality transactions. By tightening eligibility, adding transaction quality checks, and delaying rewards until a verified milestone, the marketplace lowers superficial completions but improves profitable Referral Completion Rate. This protects Direct & Retention Marketing<\/strong> efficiency while keeping Referral Marketing<\/strong> sustainable.<\/p>\n\n\n\n

          Benefits of Using Referral Completion Rate<\/h2>\n\n\n\n

          Referral Completion Rate is valuable because it pushes teams beyond vanity metrics. Key benefits include:<\/p>\n\n\n\n

            \n
          • Higher revenue per referral attempt:<\/strong> Improving completion increases outcomes without needing more invites or impressions.<\/li>\n
          • Lower effective acquisition cost:<\/strong> More completions from the same referral traffic improves ROI.<\/li>\n
          • Better customer experience:<\/strong> Clear incentives, smooth signup, and accurate tracking reduce frustration.<\/li>\n
          • Faster iteration:<\/strong> A single metric can guide A\/B tests on landing pages, onboarding steps, and messaging.<\/li>\n
          • Stronger retention loop:<\/strong> When referrals bring in better-fit customers and referrers stay engaged, Direct & Retention Marketing<\/strong> gains compounding effects.<\/li>\n<\/ul>\n\n\n\n

            In Referral Marketing<\/strong>, completion rate is often the line between \u201ca nice idea\u201d and \u201ca measurable growth channel.\u201d<\/p>\n\n\n\n

            Challenges of Referral Completion Rate<\/h2>\n\n\n\n

            Despite its usefulness, Referral Completion Rate can be tricky to measure and interpret:<\/p>\n\n\n\n

              \n
            • Ambiguous denominators:<\/strong> \u201cReferral attempts\u201d could mean invites sent, links clicked, or landing page views. Different denominators yield different rates.<\/li>\n
            • Attribution gaps:<\/strong> Link sharing across devices, cookie restrictions, and app-to-web handoffs can break tracking.<\/li>\n
            • Delayed conversions:<\/strong> Completions may happen days or weeks later, which complicates reporting and optimization.<\/li>\n
            • Fraud and incentive gaming:<\/strong> High completion can be misleading if low-quality or abusive behavior inflates results.<\/li>\n
            • Program complexity:<\/strong> Eligibility rules, reward timing, and customer support edge cases add operational overhead.<\/li>\n
            • Channel mix effects:<\/strong> Changes in where referrals are promoted (email vs in-app) can shift Referral Completion Rate without any UX change.<\/li>\n<\/ul>\n\n\n\n

              Good Direct & Retention Marketing<\/strong> practice is to treat Referral Completion Rate as a diagnostic metric\u2014one that needs context, segmentation, and integrity checks.<\/p>\n\n\n\n

              Best Practices for Referral Completion Rate<\/h2>\n\n\n\n

              To improve Referral Completion Rate in a durable, scalable way:<\/p>\n\n\n\n

              Define completion to match business value<\/h3>\n\n\n\n

              Choose a completion event aligned with outcomes:\n– If refunds are common, use \u201cfirst purchase after return window.\u201d\n– If retention matters, use \u201cactivated + retained to day 7\/30.\u201d\nThis keeps Referral Marketing<\/strong> aligned with real growth.<\/p>\n\n\n\n

              Track multiple steps, not just the final outcome<\/h3>\n\n\n\n

              Instrument a funnel:\n– Invite sent \u2192 link click \u2192 landing view \u2192 signup \u2192 first action \u2192 completion\nThis helps Direct & Retention Marketing<\/strong> teams find the exact friction point.<\/p>\n\n\n\n

              Reduce referral friction and cognitive load<\/h3>\n\n\n\n
                \n
              • Pre-fill codes and apply rewards automatically when possible<\/li>\n
              • Keep copy simple: who gets what, when, and how<\/li>\n
              • Avoid forcing account creation before the user understands the offer<\/li>\n<\/ul>\n\n\n\n

                Segment and optimize by placement and audience<\/h3>\n\n\n\n

                Improve Referral Completion Rate by focusing on:\n– High-intent placements (post-purchase, order confirmation, \u201cthank you\u201d screens)\n– Loyal cohorts who refer better-fit customers\n– Mobile vs desktop UX differences<\/p>\n\n\n\n

                Balance incentives with unit economics<\/h3>\n\n\n\n

                A bigger reward can increase completion, but not always profit. Test:\n– Reward size\n– Reward timing (instant vs milestone-based)\n– Double-sided vs single-sided incentives<\/p>\n\n\n\n

                Protect measurement integrity<\/h3>\n\n\n\n
                  \n
                • Deduplicate referrals and define rules for edge cases<\/li>\n
                • Audit tagging, event firing, and attribution logic regularly<\/li>\n
                • Monitor fraud signals alongside Referral Completion Rate<\/li>\n<\/ul>\n\n\n\n

                  Tools Used for Referral Completion Rate<\/h2>\n\n\n\n

                  Referral Completion Rate is not tied to a single tool; it\u2019s an outcome measured across your stack. Common tool categories in Direct & Retention Marketing<\/strong> and Referral Marketing<\/strong> include:<\/p>\n\n\n\n

                    \n
                  • Product analytics tools:<\/strong> Funnel tracking, cohort analysis, event validation, drop-off diagnostics.<\/li>\n
                  • Web analytics tools:<\/strong> Landing page performance, traffic sources, device segmentation.<\/li>\n
                  • Mobile attribution and deep-linking systems:<\/strong> App-to-app and web-to-app continuity, referral link resolution, install attribution.<\/li>\n
                  • CRM systems:<\/strong> Customer identity, lifecycle segmentation, referral eligibility, support history.<\/li>\n
                  • Marketing automation platforms:<\/strong> Triggered emails\/SMS\/push for referral invites, reminders, and onboarding.<\/li>\n
                  • Data warehouse and BI dashboards:<\/strong> Reliable reporting, metric definitions, reconciliation across systems.<\/li>\n
                  • Experimentation platforms:<\/strong> A\/B tests for referral landing pages, incentive structures, and onboarding steps.<\/li>\n
                  • Fraud detection workflows:<\/strong> Rule engines and monitoring dashboards to flag suspicious completion patterns.<\/li>\n<\/ul>\n\n\n\n

                    The key is consistency: the same definitions and events must flow into reporting, otherwise Referral Completion Rate becomes a debate instead of a metric.<\/p>\n\n\n\n

                    Metrics Related to Referral Completion Rate<\/h2>\n\n\n\n

                    Referral Completion Rate becomes far more actionable when paired with complementary indicators:<\/p>\n\n\n\n

                      \n
                    • Referral invite rate:<\/strong> Invites sent per active customer (program adoption).<\/li>\n
                    • Referral click-through rate:<\/strong> Clicks \u00f7 invites (message and channel effectiveness).<\/li>\n
                    • Referral conversion rate (by stage):<\/strong> Click-to-signup, signup-to-purchase, etc.<\/li>\n
                    • Cost per referred acquisition:<\/strong> Incentive cost + operational cost \u00f7 completions.<\/li>\n
                    • Referred customer LTV:<\/strong> Do referred customers retain better and spend more?<\/li>\n
                    • Payback period:<\/strong> How long until referred customers cover incentive costs?<\/li>\n
                    • Fraud rate \/ disqualified referral rate:<\/strong> Share of attempted referrals rejected by rules.<\/li>\n
                    • Reward redemption rate:<\/strong> Whether rewards are claimed and used (affects perceived value and retention).<\/li>\n<\/ul>\n\n\n\n

                      In Direct & Retention Marketing<\/strong>, these metrics connect Referral Marketing<\/strong> performance to profitability and customer quality.<\/p>\n\n\n\n

                      Future Trends of Referral Completion Rate<\/h2>\n\n\n\n

                      Several trends are shaping how Referral Completion Rate is measured and improved within Direct & Retention Marketing<\/strong>:<\/p>\n\n\n\n

                        \n
                      • AI-assisted personalization:<\/strong> Smarter timing and messaging for referral prompts based on customer behavior (e.g., after a \u201cmoment of delight\u201d). This can lift completion without increasing incentives.<\/li>\n
                      • Automation of eligibility and rewards:<\/strong> More real-time validation and fulfillment reduces delays and support friction, improving Referral Completion Rate.<\/li>\n
                      • Privacy and measurement changes:<\/strong> Cookie limits and platform restrictions push teams toward first-party tracking, server-side events, and stronger identity resolution.<\/li>\n
                      • Deeper funnel optimization:<\/strong> Programs will increasingly optimize for downstream milestones (activation, retention, repeat purchase) rather than just initial conversions.<\/li>\n
                      • Fraud sophistication:<\/strong> As abuse evolves, teams will combine behavioral signals and rule-based gating to preserve profitable Referral Marketing.<\/li>\n<\/ul>\n\n\n\n

                        The biggest shift is strategic: Referral Completion Rate will be treated less like a campaign KPI and more like a product-quality metric inside Direct & Retention Marketing<\/strong> systems.<\/p>\n\n\n\n

                        Referral Completion Rate vs Related Terms<\/h2>\n\n\n\n

                        Referral Completion Rate vs Referral Conversion Rate<\/h3>\n\n\n\n

                        These sound similar, but they often differ in scope. Referral conversion rate may refer to a specific step (e.g., click-to-purchase). Referral Completion Rate<\/strong> is best used when you have a clearly defined \u201ccompletion\u201d milestone and want to measure how often the entire referral journey achieves it. In Referral Marketing<\/strong>, be explicit about which denominator you use.<\/p>\n\n\n\n

                        Referral Completion Rate vs Referral Participation Rate<\/h3>\n\n\n\n

                        Participation rate measures how many customers engage as referrers (e.g., % of customers who send at least one invite). Referral Completion Rate measures success after participation happens. In Direct & Retention Marketing<\/strong>, you need both: participation for volume, completion for outcomes.<\/p>\n\n\n\n

                        Referral Completion Rate vs Virality (K-factor)<\/h3>\n\n\n\n

                        K-factor estimates how many new users each existing user brings in, blending invitation volume and conversion. Referral Completion Rate isolates the success portion of that loop. For Referral Marketing<\/strong> optimization, completion rate is often the more actionable lever because it maps directly to friction and UX.<\/p>\n\n\n\n

                        Who Should Learn Referral Completion Rate<\/h2>\n\n\n\n
                          \n
                        • Marketers:<\/strong> To understand whether referral traffic is converting and how to optimize messaging, incentives, and lifecycle placements in Direct & Retention Marketing<\/strong>.<\/li>\n
                        • Analysts:<\/strong> To define clean funnels, choose correct denominators, and build trustworthy reporting for Referral Marketing<\/strong>.<\/li>\n
                        • Agencies and consultants:<\/strong> To audit referral programs, diagnose drop-offs, and present clear recommendations tied to Referral Completion Rate improvements.<\/li>\n
                        • Business owners and founders:<\/strong> To evaluate whether referrals are a scalable channel and whether incentives are profitable.<\/li>\n
                        • Developers and product teams:<\/strong> To implement tracking, deep links, eligibility rules, and UX changes that directly impact completion.<\/li>\n<\/ul>\n\n\n\n

                          Summary of Referral Completion Rate<\/h2>\n\n\n\n

                          Referral Completion Rate<\/strong> is the percentage of referral attempts that result in a defined successful outcome (like signup, first purchase, or activation). It matters because it turns Referral Marketing<\/strong> from a \u201cshares and hope\u201d tactic into a measurable growth engine. In Direct & Retention Marketing<\/strong>, it\u2019s a key metric for diagnosing friction across the referral journey, improving unit economics, and building compounding retention loops. When measured consistently and optimized thoughtfully, Referral Completion Rate helps teams scale referrals with confidence.<\/p>\n\n\n\n

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

                          1) What is Referral Completion Rate?<\/h3>\n\n\n\n

                          Referral Completion Rate is the percentage of referral flows that end in a defined success event\u2014such as a referred user signing up, making a first purchase, or activating a product\u2014out of total referral starts (like invites sent or referral link clicks).<\/p>\n\n\n\n

                          2) What should count as a \u201ccompletion\u201d in Referral Marketing?<\/h3>\n\n\n\n

                          In Referral Marketing<\/strong>, completion should match your business goal: first purchase for eCommerce, activation for SaaS, first verified transaction for marketplaces, or any milestone that correlates with retention and profitability in Direct & Retention Marketing<\/strong>.<\/p>\n\n\n\n

                          3) What denominator should I use: invites sent or link clicks?<\/h3>\n\n\n\n

                          It depends on what you\u2019re diagnosing. Invites-sent-to-completion measures the entire loop (including message effectiveness). Click-to-completion focuses on landing page, onboarding, and purchase friction. Many teams track both to make Referral Completion Rate actionable.<\/p>\n\n\n\n

                          4) How do I improve Referral Completion Rate without increasing rewards?<\/h3>\n\n\n\n

                          Reduce friction: simplify landing pages, auto-apply discounts, clarify eligibility, improve mobile UX, and create referral-specific onboarding. In Direct & Retention Marketing<\/strong>, lifecycle reminders can also recover drop-offs without changing incentive cost.<\/p>\n\n\n\n

                          5) Why is my Referral Completion Rate high but revenue is low?<\/h3>\n\n\n\n

                          You may be counting a low-value completion (e.g., signup) or experiencing fraud\/abuse. Validate the completion definition, monitor disqualifications and suspicious patterns, and compare referred customer LTV to incentive cost.<\/p>\n\n\n\n

                          6) How long should I wait before measuring Referral Completion Rate?<\/h3>\n\n\n\n

                          Use a window that matches your buying cycle. For fast eCommerce, 7\u201314 days may work; for higher-consideration products, 30+ days may be more realistic. In Direct & Retention Marketing<\/strong>, cohort reporting helps separate recent referrals from mature outcomes.<\/p>\n\n\n\n

                          7) How is Referral Completion Rate different from retention metrics?<\/h3>\n\n\n\n

                          Referral Completion Rate measures whether the referral achieved an initial milestone. Retention metrics measure ongoing behavior after acquisition. Strong Referral Marketing<\/strong> often aims for both: high completion and strong retained value from referred customers.<\/p>\n","protected":false},"excerpt":{"rendered":"

                          Referral Completion Rate is the percentage of referral attempts that successfully reach the intended \u201ccompletion\u201d event\u2014such as a referred friend creating an account, making a first purchase, booking a demo, or activating a subscription. In **Direct & Retention Marketing**, it\u2019s a critical reality check: it tells you whether your **Referral Marketing** program is truly converting word-of-mouth intent into measurable outcomes.<\/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":[1896],"tags":[],"class_list":["post-8358","post","type-post","status-publish","format-standard","hentry","category-referral-marketing"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/8358","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=8358"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/8358\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=8358"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=8358"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=8358"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}