{"id":8366,"date":"2026-03-26T00:41:49","date_gmt":"2026-03-26T00:41:49","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/referred-customer-value\/"},"modified":"2026-03-26T00:41:49","modified_gmt":"2026-03-26T00:41:49","slug":"referred-customer-value","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/referred-customer-value\/","title":{"rendered":"Referred Customer Value: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Referral Marketing"},"content":{"rendered":"\n

Referred Customer Value is the business value created by customers who arrive through a referral, measured over a meaningful time horizon and compared to other acquisition sources. In Direct & Retention Marketing<\/strong>, it\u2019s not enough to know that a referral program generates signups; you need to know whether referred customers stay longer, buy more, cost less to support, and become advocates themselves. That\u2019s where Referred Customer Value<\/strong> becomes a decision-making metric rather than a vanity number.<\/p>\n\n\n\n

In Referral Marketing<\/strong>, the goal is sustainable growth driven by trust. Referred customers often start with higher intent because they come via a recommendation, but the size of that advantage varies by product, audience, and incentive design. Measuring Referred Customer Value<\/strong> helps modern Direct & Retention Marketing<\/strong> teams choose the right incentives, identify high-performing advocates, allocate budget confidently, and avoid overpaying for low-quality referrals.<\/p>\n\n\n\n

What Is Referred Customer Value?<\/h2>\n\n\n\n

Referred Customer Value<\/strong> is the quantified value attributed to customers acquired through referrals, usually expressed as revenue, gross profit, contribution margin, or lifetime value\u2014minus the costs required to acquire and serve them. It answers: \u201cHow valuable are customers who come from referrals compared to everyone else?\u201d<\/em><\/p>\n\n\n\n

At its core, the concept combines two ideas:<\/p>\n\n\n\n

    \n
  • Attribution<\/strong>: identifying which customers were acquired via a referral (from a friend, affiliate-like advocate, partner, or referral link\/code).<\/li>\n
  • Value measurement<\/strong>: calculating what those customers contribute over time (repeat purchases, subscription retention, expansions, and even secondary referrals).<\/li>\n<\/ul>\n\n\n\n

    The business meaning is straightforward: if referred customers deliver higher margin and longer retention, your Referral Marketing<\/strong> engine is not just a growth channel\u2014it\u2019s a compounding asset for Direct & Retention Marketing<\/strong>.<\/p>\n\n\n\n

    Where it fits: Direct & Retention Marketing<\/strong> teams use Referred Customer Value<\/strong> to inform onboarding, lifecycle messaging, loyalty, offer strategy, and budget allocation. Within Referral Marketing<\/strong>, it becomes the benchmark for evaluating program ROI, incentive economics, and advocate targeting.<\/p>\n\n\n\n

    Why Referred Customer Value Matters in Direct & Retention Marketing<\/h2>\n\n\n\n

    In many organizations, referrals get judged on volume (number of invites or signups). Referred Customer Value<\/strong> shifts the conversation to quality<\/em> and profitability<\/em>, which is where durable strategy lives.<\/p>\n\n\n\n

    Key reasons it matters:<\/p>\n\n\n\n

      \n
    • Strategic budget allocation<\/strong>: When you know referred customers outperform (or underperform) other channels, you can invest accordingly\u2014often reallocating spend from broad acquisition into Referral Marketing<\/strong> and retention plays.<\/li>\n
    • Better unit economics<\/strong>: Incentives, discounts, credits, and program tooling all cost money. Referred Customer Value<\/strong> helps ensure those costs are justified by downstream margin and retention.<\/li>\n
    • Improved lifecycle outcomes<\/strong>: Referred users may respond differently to onboarding, cross-sell, and win-back messaging. Direct & Retention Marketing<\/strong> can personalize experiences based on referral source, advocate type, or incentive path.<\/li>\n
    • Competitive advantage<\/strong>: A well-measured referral program is hard to copy because its effectiveness depends on segmentation, product experience, and calibrated incentives. Measuring Referred Customer Value<\/strong> turns referrals into a defensible growth lever rather than a \u201cnice-to-have.\u201d<\/li>\n<\/ul>\n\n\n\n

      How Referred Customer Value Works<\/h2>\n\n\n\n

      Although it\u2019s a concept, Referred Customer Value<\/strong> becomes practical when you treat it as a repeatable workflow:<\/p>\n\n\n\n

        \n
      1. \n

        Input \/ trigger: referral acquisition event<\/strong>\n A customer joins via a referral link, code, invite, or partner recommendation. This event should generate trackable identifiers (referrer ID, campaign ID, timestamp, incentive type).<\/p>\n<\/li>\n

      2. \n

        Processing: attribution and cohorting<\/strong>\n You classify the customer as \u201creferred\u201d (and ideally by referral subtype), then place them into cohorts for comparison: referred vs non-referred, or referred-by-advocate-tier vs baseline.<\/p>\n<\/li>\n

      3. \n

        Execution: measure value over time<\/strong>\n Over weeks\/months, you track retention, purchases, expansions, returns, churn, and support costs. In Direct & Retention Marketing<\/strong>, you also measure downstream engagement such as email\/SMS response, product activation, and repeat purchase cadence.<\/p>\n<\/li>\n

      4. \n

        Output: decision-ready value metric<\/strong>\n You compute Referred Customer Value<\/strong> (often as LTV or contribution margin) and compare it to the cost of generating those referrals (incentives + operations + tooling). The outcome is a clear ROI view: which referral mechanics create customers worth keeping\u2014and worth paying for.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

        Key Components of Referred Customer Value<\/h2>\n\n\n\n

        To make Referred Customer Value<\/strong> reliable, you need more than a formula. You need coordinated systems, definitions, and ownership across Direct & Retention Marketing<\/strong> and analytics.<\/p>\n\n\n\n

        Data inputs<\/h3>\n\n\n\n
          \n
        • Referral identifiers (referrer ID, code\/link, share channel)<\/li>\n
        • Acquisition timestamp and first-touch context<\/li>\n
        • Customer profile attributes (geo, device, plan, product line)<\/li>\n
        • Purchase\/subscription events and revenue<\/li>\n
        • Cost data (discounts, credits, incentive fulfillment, fraud losses)<\/li>\n
        • Retention signals (cohort activity, churn date, renewals)<\/li>\n<\/ul>\n\n\n\n

          Processes and governance<\/h3>\n\n\n\n
            \n
          • Definition alignment<\/strong>: What counts as \u201creferred\u201d? What is the attribution window? How are self-referrals handled?<\/li>\n
          • Cohort methodology<\/strong>: Comparable cohorts by start date, product, market, and seasonality.<\/li>\n
          • Incentive accounting<\/strong>: Recording the real cost of incentives, not just advertised value.<\/li>\n
          • Cross-functional ownership<\/strong>: Marketing owns program design; analytics owns measurement; finance validates margin logic; product ensures referral flow integrity.<\/li>\n<\/ul>\n\n\n\n

            Metrics and systems<\/h3>\n\n\n\n
              \n
            • LTV \/ margin-based value calculations<\/li>\n
            • Attribution and identity resolution (across devices and sessions)<\/li>\n
            • Reporting dashboards for Referral Marketing<\/strong> performance and retention outcomes<\/li>\n<\/ul>\n\n\n\n

              Types of Referred Customer Value<\/h2>\n\n\n\n

              There aren\u2019t universally standardized \u201ctypes,\u201d but in practice Referred Customer Value<\/strong> is measured in several useful ways depending on business model and decision needs:<\/p>\n\n\n\n

                \n
              1. \n

                Revenue-based vs margin-based value<\/strong>\n Revenue-based LTV is simple, but margin-based value is more decision-useful because it includes COGS, payment fees, returns, and incentive costs\u2014critical in Direct & Retention Marketing<\/strong> planning.<\/p>\n<\/li>\n

              2. \n

                Short-horizon vs long-horizon value<\/strong>\n – 30\u201390 day value: helpful for fast feedback and testing incentive changes.\n – 6\u201324 month value: necessary for subscriptions, high-consideration products, or long repurchase cycles.<\/p>\n<\/li>\n

              3. \n

                First-order value vs lifetime value<\/strong>\n Some referral programs spike first purchases via discounts. Measuring only first-order revenue can overstate success. Referred Customer Value<\/strong> should include repeat behavior where possible.<\/p>\n<\/li>\n

              4. \n

                Direct referral value vs network value<\/strong>\n Advanced programs measure not just what the referred customer buys, but whether they become referrers too (a \u201csecond-order\u201d effect). This is especially relevant in Referral Marketing<\/strong> systems that aim for compounding growth.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                Real-World Examples of Referred Customer Value<\/h2>\n\n\n\n

                Example 1: DTC eCommerce referral credits<\/h3>\n\n\n\n

                A retail brand offers \u201cGive $10, Get $10\u201d credits. Signups rise, but finance worries about margin. The team calculates Referred Customer Value<\/strong> using 180-day contribution margin:<\/p>\n\n\n\n

                  \n
                • Referred customers show slightly lower first-order margin due to discounts <\/li>\n
                • But they have higher repeat purchase rate and lower return rate <\/li>\n
                • Net contribution over 180 days exceeds paid social cohorts<\/li>\n<\/ul>\n\n\n\n

                  Outcome: Direct & Retention Marketing<\/strong> increases referral visibility in post-purchase email\/SMS and limits credits to higher-margin categories, improving Referral Marketing<\/strong> ROI.<\/p>\n\n\n\n

                  Example 2: SaaS invite program with activation thresholds<\/h3>\n\n\n\n

                  A SaaS product offers an account credit when the invited user reaches an activation milestone (not just signup). The team measures Referred Customer Value<\/strong> as 12-month gross profit:<\/p>\n\n\n\n

                    \n
                  • Milestone-based referrals have lower volume but far higher retention <\/li>\n
                  • Support costs are lower because referred users come with context from the referrer <\/li>\n
                  • Upgrades happen earlier due to peer guidance<\/li>\n<\/ul>\n\n\n\n

                    Outcome: The company shifts incentives from \u201csignup\u201d to \u201cactivated user,\u201d and Direct & Retention Marketing<\/strong> builds onboarding tracks tailored to referred cohorts.<\/p>\n\n\n\n

                    Example 3: Services business with referral partnerships<\/h3>\n\n\n\n

                    A B2B services firm receives referrals from partners. The firm computes Referred Customer Value<\/strong> using expected project margin and renewal likelihood:<\/p>\n\n\n\n

                      \n
                    • Partner A sends fewer leads but higher close rates and larger retainer sizes <\/li>\n
                    • Partner B sends many leads but low-fit, high-sales-effort prospects<\/li>\n<\/ul>\n\n\n\n

                      Outcome: The firm prioritizes co-marketing with Partner A and changes lead qualification with Partner B\u2014using Referral Marketing<\/strong> strategy anchored in Referred Customer Value<\/strong>.<\/p>\n\n\n\n

                      Benefits of Using Referred Customer Value<\/h2>\n\n\n\n

                      When implemented well, Referred Customer Value<\/strong> improves both growth decisions and customer experience:<\/p>\n\n\n\n

                        \n
                      • Performance improvements<\/strong>: Identify which referral sources and incentives drive high-retention cohorts.<\/li>\n
                      • Cost savings<\/strong>: Avoid over-incentivizing low-quality referrals; reduce fraud and discount leakage.<\/li>\n
                      • Efficiency gains<\/strong>: Focus Direct & Retention Marketing<\/strong> resources on segments most likely to expand and advocate.<\/li>\n
                      • Better customer experience<\/strong>: Design referral journeys that reward meaningful outcomes (activation, successful purchase) instead of pushing aggressive sharing prompts.<\/li>\n<\/ul>\n\n\n\n

                        Challenges of Referred Customer Value<\/h2>\n\n\n\n

                        Measuring Referred Customer Value<\/strong> is powerful, but it\u2019s easy to get wrong without guardrails:<\/p>\n\n\n\n

                          \n
                        • Attribution ambiguity<\/strong>: Customers may be influenced by both referrals and other channels. Last-click logic can misrepresent true impact.<\/li>\n
                        • Identity resolution gaps<\/strong>: Cross-device behavior, cookie restrictions, and privacy changes can break referral tracking.<\/li>\n
                        • Incentive cost complexity<\/strong>: Discounts affect margin; credits may be redeemed later; some incentives create liabilities on the balance sheet.<\/li>\n
                        • Fraud and abuse<\/strong>: Self-referrals, fake accounts, and code leakage can inflate referral counts while depressing real value.<\/li>\n
                        • Cohort bias<\/strong>: Referred customers might differ by geography, season, or product line\u2014comparisons must control for these factors.<\/li>\n
                        • Time-to-value mismatch<\/strong>: Subscription and B2B models may need long horizons, delaying confident conclusions for Direct & Retention Marketing<\/strong> planning.<\/li>\n<\/ul>\n\n\n\n

                          Best Practices for Referred Customer Value<\/h2>\n\n\n\n

                          Use these practices to make Referred Customer Value<\/strong> reliable and actionable:<\/p>\n\n\n\n

                            \n
                          1. \n

                            Define \u201creferred\u201d with precision<\/strong>\n Document what events qualify, your attribution window, and how you treat edge cases (code sharing sites, employee referrals, partner referrals).<\/p>\n<\/li>\n

                          2. \n

                            Measure value as close to profit as possible<\/strong>\n If you can\u2019t start with margin, begin with revenue-based LTV but plan to incorporate COGS, returns, payment fees, and incentive costs.<\/p>\n<\/li>\n

                          3. \n

                            Use cohort comparisons, not single averages<\/strong>\n Compare referred vs non-referred within the same signup month, product tier, and market. This is essential for honest Referral Marketing<\/strong> evaluation.<\/p>\n<\/li>\n

                          4. \n

                            Tie incentives to quality signals<\/strong>\n Reward after activation, second purchase, or successful renewal. This aligns Direct & Retention Marketing<\/strong> goals with referral mechanics.<\/p>\n<\/li>\n

                          5. \n

                            Monitor for fraud continuously<\/strong>\n Implement rate limits, duplicate detection, device\/IP checks (where appropriate), and manual review workflows for anomalies.<\/p>\n<\/li>\n

                          6. \n

                            Operationalize insights<\/strong>\n Feed high-value referrer segments into lifecycle messaging and loyalty programs. Treat top advocates like a retention asset.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                            Tools Used for Referred Customer Value<\/h2>\n\n\n\n

                            Referred Customer Value<\/strong> typically requires a stack that connects acquisition tracking to retention and revenue:<\/p>\n\n\n\n

                              \n
                            • Analytics tools<\/strong>: event tracking, cohort analysis, funnel and retention reporting to compare referred vs non-referred behavior.<\/li>\n
                            • CRM systems<\/strong>: customer profiles, lifecycle stages, deal\/subscription history, and segmentation for Direct & Retention Marketing<\/strong> activation.<\/li>\n
                            • Marketing automation<\/strong>: email\/SMS\/push journeys that adapt messaging for referred cohorts and referrers.<\/li>\n
                            • Attribution and measurement systems<\/strong>: campaign tagging, identity stitching, and multi-touch analysis (where feasible).<\/li>\n
                            • Data warehouse + BI dashboards<\/strong>: centralize referral events, orders\/subscriptions, incentive costs, and margin calculations for trusted reporting.<\/li>\n
                            • Fraud monitoring workflows<\/strong>: rules-based alerts, anomaly detection, and audit trails to protect Referral Marketing<\/strong> economics.<\/li>\n<\/ul>\n\n\n\n

                              If your organization is early-stage, you can start with consistent tagging and a basic cohort dashboard. The key is repeatable measurement, not tool complexity.<\/p>\n\n\n\n

                              Metrics Related to Referred Customer Value<\/h2>\n\n\n\n

                              To make Referred Customer Value<\/strong> decision-ready, pair it with supporting metrics:<\/p>\n\n\n\n

                                \n
                              • Referred LTV (or contribution margin LTV)<\/strong>: value over a defined horizon.<\/li>\n
                              • Referral CAC \/ cost per referred customer<\/strong>: incentive cost + program operations per acquired referred customer.<\/li>\n
                              • Payback period<\/strong>: time for referred customer margin to cover incentive and acquisition costs.<\/li>\n
                              • Retention rate \/ churn rate (referred cohort)<\/strong>: the retention lift is often the main driver of value.<\/li>\n
                              • AOV and repeat purchase rate<\/strong>: critical for eCommerce; indicates whether referrals bring \u201cdeal seekers\u201d or loyal buyers.<\/li>\n
                              • Activation rate and time-to-activation<\/strong>: critical for SaaS and apps; high activation typically predicts higher Referred Customer Value<\/strong>.<\/li>\n
                              • Referral rate (K-factor style thinking)<\/strong>: how often referred customers become referrers\u2014important for compounding Referral Marketing<\/strong> loops.<\/li>\n
                              • Fraud rate \/ invalid referral rate<\/strong>: keeps value calculations honest.<\/li>\n<\/ul>\n\n\n\n

                                Future Trends of Referred Customer Value<\/h2>\n\n\n\n

                                Several shifts are changing how Referred Customer Value<\/strong> is measured and improved in Direct & Retention Marketing<\/strong>:<\/p>\n\n\n\n

                                  \n
                                • AI-driven segmentation and prediction<\/strong>: Models can predict which advocates will drive high-value referrals and which referred customers will retain\u2014enabling smarter incentive spend.<\/li>\n
                                • Automation of lifecycle personalization<\/strong>: Referral source, advocate relationship, and incentive type can automatically tailor onboarding and retention messaging.<\/li>\n
                                • Privacy and measurement constraints<\/strong>: Increased restrictions on third-party identifiers push teams toward first-party tracking, server-side measurement, and stronger data governance.<\/li>\n
                                • Incrementality focus<\/strong>: More teams will test whether referrals create new demand or merely shift attribution from other channels\u2014tightening ROI claims in Referral Marketing<\/strong>.<\/li>\n
                                • Value-based program design<\/strong>: Incentives will increasingly be tied to outcomes (activation, renewal, second purchase) rather than top-of-funnel actions.<\/li>\n<\/ul>\n\n\n\n

                                  Referred Customer Value vs Related Terms<\/h2>\n\n\n\n

                                  Referred Customer Value vs Customer Lifetime Value (CLV\/LTV)<\/h3>\n\n\n\n

                                  Customer Lifetime Value measures the value of any customer over time. Referred Customer Value<\/strong> is the same idea, but scoped specifically to customers acquired through referrals. In Direct & Retention Marketing<\/strong>, you use LTV for broad planning and Referred Customer Value<\/strong> to evaluate Referral Marketing<\/strong> economics and optimize the referral journey.<\/p>\n\n\n\n

                                  Referred Customer Value vs Referral Conversion Rate<\/h3>\n\n\n\n

                                  Referral conversion rate tells you what percentage of invited prospects become customers. It does not tell you whether those customers are profitable or retained. Referred Customer Value<\/strong> complements conversion rate by validating the quality of what you\u2019re converting.<\/p>\n\n\n\n

                                  Referred Customer Value vs Cost Per Acquisition (CPA)<\/h3>\n\n\n\n

                                  CPA focuses on the cost to acquire a customer. Referred Customer Value<\/strong> focuses on what that customer returns over time (often net of costs). Both are required to judge ROI; Direct & Retention Marketing<\/strong> leaders need the ratio between value and cost, not one metric in isolation.<\/p>\n\n\n\n

                                  Who Should Learn Referred Customer Value<\/h2>\n\n\n\n
                                    \n
                                  • Marketers<\/strong>: to design incentives, messaging, and journeys that create profitable growth through Referral Marketing<\/strong>.<\/li>\n
                                  • Analysts<\/strong>: to build cohort models, attribution logic, and dashboards that make Referred Customer Value<\/strong> trustworthy.<\/li>\n
                                  • Agencies and consultants<\/strong>: to prove results beyond surface-level referral volume and to guide Direct & Retention Marketing<\/strong> strategy.<\/li>\n
                                  • Business owners and founders<\/strong>: to understand unit economics, avoid discount traps, and invest in scalable acquisition loops.<\/li>\n
                                  • Developers and data engineers<\/strong>: to implement reliable tracking, event schemas, identity resolution, and data pipelines that power accurate measurement.<\/li>\n<\/ul>\n\n\n\n

                                    Summary of Referred Customer Value<\/h2>\n\n\n\n

                                    Referred Customer Value<\/strong> measures how much business impact referred customers generate over time, ideally in profit-aware terms. It matters because it turns Referral Marketing<\/strong> from a channel measured by signups into a growth engine measured by retention and margin. Within Direct & Retention Marketing<\/strong>, it guides incentive strategy, lifecycle personalization, advocate segmentation, and budget allocation. When measured well, Referred Customer Value<\/strong> helps you scale referrals sustainably\u2014and protect the economics that make referrals worth pursuing.<\/p>\n\n\n\n

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

                                    1) What does Referred Customer Value measure, exactly?<\/h3>\n\n\n\n

                                    Referred Customer Value measures the value created by customers acquired via referrals over a defined period\u2014often as revenue, gross profit, or contribution margin\u2014typically compared against the costs of incentives and program operations.<\/p>\n\n\n\n

                                    2) How is Referred Customer Value different from regular LTV?<\/h3>\n\n\n\n

                                    Regular LTV includes all customers. Referred Customer Value isolates only referred cohorts, helping Direct & Retention Marketing<\/strong> teams understand whether Referral Marketing<\/strong> brings higher-quality, longer-retained customers.<\/p>\n\n\n\n

                                    3) What time horizon should I use for Referred Customer Value?<\/h3>\n\n\n\n

                                    Use a horizon aligned to your repurchase or renewal cycle: 30\u201390 days for fast iteration, and 6\u201324 months for subscriptions or long purchase cycles. Many teams track both to balance speed and accuracy.<\/p>\n\n\n\n

                                    4) How do I calculate ROI for a Referral Marketing program?<\/h3>\n\n\n\n

                                    Combine Referred Customer Value<\/strong> with total referral costs: incentives redeemed, discount margin impact, tooling, and operational overhead. ROI improves when value grows faster than total cost, and when fraud\/abuse is controlled.<\/p>\n\n\n\n

                                    5) Do referred customers always have higher value?<\/h3>\n\n\n\n

                                    Not always. Some incentives attract bargain-focused buyers or low-fit users. That\u2019s why Referred Customer Value<\/strong> is essential\u2014it reveals whether your referrals are genuinely better than other acquisition sources.<\/p>\n\n\n\n

                                    6) What\u2019s the biggest mistake teams make when measuring referred customers?<\/h3>\n\n\n\n

                                    Over-relying on referral volume or last-click attribution. Without cohort controls and cost accounting, Referred Customer Value<\/strong> can be overstated, leading to overspending on incentives.<\/p>\n\n\n\n

                                    7) How can Direct & Retention Marketing teams improve referred customer outcomes?<\/h3>\n\n\n\n

                                    Personalize onboarding for referred cohorts, tie rewards to activation or repeat purchase, segment and nurture top advocates, and continuously monitor retention and margin\u2014using Referred Customer Value<\/strong> as the primary optimization compass.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                    Referred Customer Value is the business value created by customers who arrive through a referral, measured over a meaningful time horizon and compared to other acquisition sources. In **Direct & Retention Marketing**, it\u2019s not enough to know that a referral program generates signups; you need to know whether referred customers stay longer, buy more, cost less to support, and become advocates themselves. That\u2019s where **Referred Customer Value** becomes a decision-making metric rather than a vanity number.<\/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-8366","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\/8366","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=8366"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/8366\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=8366"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=8366"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=8366"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}