{"id":8394,"date":"2026-03-26T01:45:05","date_gmt":"2026-03-26T01:45:05","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/referral-naming-convention\/"},"modified":"2026-03-26T01:45:05","modified_gmt":"2026-03-26T01:45:05","slug":"referral-naming-convention","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/referral-naming-convention\/","title":{"rendered":"Referral Naming Convention: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Referral Marketing"},"content":{"rendered":"\n

A Referral Naming Convention<\/strong> is a standardized way to label referral sources, campaigns, links, codes, and partners so everyone tracks and reports referrals consistently. In Direct & Retention Marketing<\/strong>, that consistency is the difference between \u201cwe think referrals work\u201d and \u201cwe can prove which referrers, messages, and incentives drive profitable customers.\u201d In Referral Marketing<\/strong>, where word-of-mouth is intentionally engineered through links and incentives, a shared naming system keeps attribution clean across channels, devices, and teams.<\/p>\n\n\n\n

A modern Referral Naming Convention<\/strong> matters because referral programs rarely live in one place. They touch email, SMS, in-app prompts, social sharing, partner placements, offline-to-online promos, and customer support. Without an agreed structure, the same referrer might show up as five different sources in analytics\u2014splitting performance, inflating \u201cunknown,\u201d and undermining optimization. With a solid convention, you gain durable measurement, faster decision-making, and less friction between marketing, analytics, and engineering.<\/p>\n\n\n\n

What Is Referral Naming Convention?<\/h2>\n\n\n\n

A Referral Naming Convention<\/strong> is a documented taxonomy and set of rules for how referral traffic and referral-driven conversions are named in tracking systems. It defines what to call things<\/em> (sources, campaigns, referrers, placements, creatives, incentives, and codes) and how to format those names<\/em> so they are predictable, searchable, and comparable over time.<\/p>\n\n\n\n

The core concept is simple: if two people name the same referral two different ways, reporting breaks. A Referral Naming Convention<\/strong> prevents that by providing controlled vocabulary (approved values) and formatting rules (such as lowercase, separators, date formats, and versioning).<\/p>\n\n\n\n

From a business perspective, this is operational infrastructure. In Direct & Retention Marketing<\/strong>, it improves lifecycle visibility\u2014who referred whom, which prompts work at which customer stage, and how referral cohorts retain. Inside Referral Marketing<\/strong>, it supports scalable experimentation: you can test incentives, placements, and copy while maintaining clean attribution.<\/p>\n\n\n\n

Why Referral Naming Convention Matters in Direct & Retention Marketing<\/h2>\n\n\n\n

In Direct & Retention Marketing<\/strong>, referral programs are often judged on efficiency and durability, not just volume. A strong Referral Naming Convention<\/strong> directly supports that by making it easier to:<\/p>\n\n\n\n

    \n
  • Attribute outcomes to the right driver.<\/strong> You can separate \u201ccustomer share link in-app\u201d from \u201cpartner newsletter mention\u201d instead of lumping both into \u201creferral.\u201d<\/li>\n
  • Optimize the full loop.<\/strong> Referrals are a two-sided system (advocate and referred). Consistent names help connect send, click, signup, purchase, and repeat purchase.<\/li>\n
  • Protect budget and credibility.<\/strong> When naming is inconsistent, stakeholders see conflicting numbers across dashboards, leading to mistrust and underinvestment.<\/li>\n
  • Move faster than competitors.<\/strong> Teams with clean naming can run more tests, detect winners earlier, and scale high-performing referral placements with confidence.<\/li>\n<\/ul>\n\n\n\n

    Because Referral Marketing<\/strong> frequently crosses product, marketing, and analytics boundaries, naming is one of the highest-leverage \u201cboring\u201d disciplines you can adopt in Direct & Retention Marketing<\/strong>.<\/p>\n\n\n\n

    How Referral Naming Convention Works<\/h2>\n\n\n\n

    A Referral Naming Convention<\/strong> is both a planning artifact and a daily execution habit. In practice, it works like this:<\/p>\n\n\n\n

      \n
    1. \n

      Input \/ trigger: a new referral initiative<\/strong>\n – You launch a new referral prompt, partner placement, influencer push, or incentive test.\n – You need to track it across analytics, CRM, and internal reporting.<\/p>\n<\/li>\n

    2. \n

      Processing: apply standardized labels<\/strong>\n – The team selects approved values for source, channel, placement, and campaign.\n – They format those values consistently (for example, lowercase with underscores, no spaces, fixed date patterns).\n – They ensure the same names are used in links, codes, and internal fields.<\/p>\n<\/li>\n

    3. \n

      Execution: implement in tracking and systems<\/strong>\n – Links include structured parameters or identifiers aligned to the convention.\n – Referral codes follow a consistent format and are mapped to campaigns.\n – Events and properties in analytics reflect the same taxonomy.<\/p>\n<\/li>\n

    4. \n

      Output: trustworthy reporting and iteration<\/strong>\n – Dashboards roll up cleanly without manual cleanup.\n – Analysts can segment performance by partner, placement, and incentive.\n – Direct & Retention Marketing<\/strong> teams can tie Referral Marketing<\/strong> performance to downstream retention, LTV, and payback.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

      The \u201cmagic\u201d is not the syntax\u2014it\u2019s the governance. A Referral Naming Convention<\/strong> works when it\u2019s easy to follow, enforced by process, and reflected in your data model.<\/p>\n\n\n\n

      Key Components of Referral Naming Convention<\/h2>\n\n\n\n

      A durable Referral Naming Convention<\/strong> typically includes these components:<\/p>\n\n\n\n

      Taxonomy (what you name)<\/h3>\n\n\n\n
        \n
      • Source<\/strong> (who\/where the referral originates): customer_share, partner_x, affiliate, influencer<\/li>\n
      • Channel<\/strong> (how it\u2019s distributed): email, sms, in_app, social, web<\/li>\n
      • Placement<\/strong> (where the user sees it): post_purchase, account_page, receipt_email, footer_banner<\/li>\n
      • Campaign<\/strong> (the initiative or test): spring_promo, v2_onboarding_referral<\/li>\n
      • Incentive<\/strong> (what\u2019s offered): give10_get10, free_month, points_500<\/li>\n
      • Creative\/message<\/strong> (optional): headline_a, cta_short, variant_b<\/li>\n<\/ul>\n\n\n\n

        Formatting rules (how you write it)<\/h3>\n\n\n\n
          \n
        • Character set, casing, separators, max length<\/li>\n
        • Reserved words (avoid \u201ctest,\u201d \u201cmisc,\u201d \u201cnew\u201d without meaning)<\/li>\n
        • Date and version patterns (for controlled evolution)<\/li>\n<\/ul>\n\n\n\n

          Systems alignment<\/h3>\n\n\n\n
            \n
          • Analytics properties and event names<\/li>\n
          • CRM fields and lead\/customer source logic<\/li>\n
          • Data warehouse tables (if used) and transformation rules<\/li>\n
          • Dashboard dimensions and filters<\/li>\n<\/ul>\n\n\n\n

            Governance and responsibility<\/h3>\n\n\n\n
              \n
            • An owner (often in growth ops, analytics, or lifecycle marketing)<\/li>\n
            • A request process for new names<\/li>\n
            • A \u201csource of truth\u201d document and change log<\/li>\n<\/ul>\n\n\n\n

              In Referral Marketing<\/strong>, these components ensure each referral touchpoint is measurable end-to-end within Direct & Retention Marketing<\/strong> reporting.<\/p>\n\n\n\n

              Types of Referral Naming Convention<\/h2>\n\n\n\n

              There aren\u2019t rigid \u201cofficial\u201d types, but there are common approaches depending on how your Referral Marketing<\/strong> program is built:<\/p>\n\n\n\n

              1) Link-parameter conventions (click-based)<\/h3>\n\n\n\n

              Used when referrals are primarily tracked via share links. The Referral Naming Convention<\/strong> focuses on consistent parameter values for source, placement, and campaign.<\/p>\n\n\n\n

              2) Referral code conventions (code-based)<\/h3>\n\n\n\n

              Used when the referral mechanism is a promo\/referral code. Naming rules define code structure, mapping, and how codes connect to campaigns and referrers.<\/p>\n\n\n\n

              3) Partner and affiliate conventions (publisher-based)<\/h3>\n\n\n\n

              Used when referrals come from external partners. The convention emphasizes partner IDs, placement IDs, and standardized partner naming to prevent duplicates.<\/p>\n\n\n\n

              4) In-product referral conventions (event-based)<\/h3>\n\n\n\n

              Used when the referral journey is measured via product events (invite sent, link copied, friend joined). Naming includes event properties like referral_surface and referral_flow.<\/p>\n\n\n\n

              Most organizations use a hybrid. The key is that one Referral Naming Convention<\/strong> should connect link\/codes\/events into one coherent reporting view for Direct & Retention Marketing<\/strong>.<\/p>\n\n\n\n

              Real-World Examples of Referral Naming Convention<\/h2>\n\n\n\n

              Example 1: In-app customer referral prompt (lifecycle placement)<\/h3>\n\n\n\n

              A subscription app adds a referral card on the account page and tests two incentives. A strong Referral Naming Convention<\/strong> might standardize:\n– source: customer\n– channel: in_app\n– placement: account_page\n– campaign: referral_card_test_v1\n– incentive: give10_get10 vs free_month<\/p>\n\n\n\n

              Result: Direct & Retention Marketing<\/strong> can compare conversion rate and downstream retention by incentive without messy \u201caccountpage,\u201d \u201cacct_pg,\u201d and \u201caccount-page\u201d fragments. Referral Marketing<\/strong> performance becomes testable and repeatable.<\/p>\n\n\n\n

              Example 2: Partner newsletter referral (external placement)<\/h3>\n\n\n\n

              A partner runs a monthly newsletter placement plus a web banner. With a consistent convention:\n– source: partner_{partnername}\n– channel: email vs web\n– placement: newsletter_mid vs homepage_banner\n– campaign: partner_q3_referral<\/p>\n\n\n\n

              Result: You can separate partner impact by placement and avoid the common problem where \u201cPartnerName,\u201d \u201cpartner name,\u201d and \u201cpartnername.co\u201d fragment into different sources.<\/p>\n\n\n\n

              Example 3: Offline-to-online referral card (code + landing page)<\/h3>\n\n\n\n

              A retail brand hands out referral cards with codes at checkout. The Referral Naming Convention<\/strong> defines:\n– code format: STORECODE-CAMPAIGN-VERSION (mapped in a table)\n– landing page campaign name aligned to the same labels<\/p>\n\n\n\n

              Result: Referral Marketing<\/strong> attribution is consistent whether the customer enters a code, scans a QR, or visits later. Direct & Retention Marketing<\/strong> reporting can connect those referrals to repeat purchases.<\/p>\n\n\n\n

              Benefits of Using Referral Naming Convention<\/h2>\n\n\n\n

              A well-run Referral Naming Convention<\/strong> delivers practical gains:<\/p>\n\n\n\n

                \n
              • Higher-quality attribution:<\/strong> fewer \u201cunknown\/other\u201d buckets and less manual recategorization.<\/li>\n
              • Faster optimization:<\/strong> analysts can trust segment-level data and identify winners by placement, incentive, and partner.<\/li>\n
              • Lower reporting cost:<\/strong> fewer hours spent cleaning exports and reconciling dashboards across teams.<\/li>\n
              • Better customer experience:<\/strong> consistent codes and messaging reduce confusion (\u201cWhich code do I use?\u201d), improving redemption.<\/li>\n
              • Scalability:<\/strong> as Referral Marketing<\/strong> expands into new channels, your Direct & Retention Marketing<\/strong> measurement stays coherent.<\/li>\n<\/ul>\n\n\n\n

                Challenges of Referral Naming Convention<\/h2>\n\n\n\n

                Even a strong Referral Naming Convention<\/strong> can fail without attention to real-world constraints:<\/p>\n\n\n\n

                  \n
                • Inconsistent adoption:<\/strong> different teams ship campaigns quickly and invent names, creating duplicates.<\/li>\n
                • Character limits and platform quirks:<\/strong> some systems truncate fields or restrict characters, breaking long naming schemes.<\/li>\n
                • Cross-device and privacy limitations:<\/strong> referral attribution can be lost when users switch devices or tracking is limited; naming can\u2019t solve everything, but it can reduce ambiguity when data is partial.<\/li>\n
                • Merging paid and organic referrals:<\/strong> \u201creferral\u201d can mean partner referrals, customer referrals, or general web referrals; naming must disambiguate.<\/li>\n
                • Legacy data:<\/strong> changing the convention midstream can make year-over-year reporting harder unless you map old names to new standards.<\/li>\n<\/ul>\n\n\n\n

                  In Direct & Retention Marketing<\/strong>, the biggest risk is false confidence\u2014messy naming can make Referral Marketing<\/strong> look weaker or stronger than it truly is.<\/p>\n\n\n\n

                  Best Practices for Referral Naming Convention<\/h2>\n\n\n\n

                  Use these practices to make a Referral Naming Convention<\/strong> stick:<\/p>\n\n\n\n

                  Design it for humans and machines<\/h3>\n\n\n\n
                    \n
                  • Keep names short, descriptive, and consistent<\/strong>.<\/li>\n
                  • Prefer controlled values over free-text fields.<\/li>\n
                  • Standardize casing and separators (choose one and enforce it).<\/li>\n<\/ul>\n\n\n\n

                    Build a minimal required set<\/h3>\n\n\n\n

                    Define mandatory dimensions for every referral initiative (for example: source, channel, placement, campaign). Optional fields can exist, but don\u2019t require 12 fields for a simple test.<\/p>\n\n\n\n

                    Separate identity from description<\/h3>\n\n\n\n

                    Use stable identifiers for partners and campaigns, and keep descriptive labels for readability. This prevents renames from breaking historical reporting.<\/p>\n\n\n\n

                    Create a request-and-approval workflow<\/h3>\n\n\n\n

                    A lightweight process (template + owner review) prevents \u201cjust this once\u201d exceptions that become permanent.<\/p>\n\n\n\n

                    Validate before launch<\/h3>\n\n\n\n

                    Add a pre-flight checklist in your campaign QA:\n– Do names match the convention exactly?\n– Do links\/codes map to the same campaign labels?\n– Do analytics events carry the right properties?<\/p>\n\n\n\n

                    Monitor drift<\/h3>\n\n\n\n

                    Schedule periodic audits to find:\n– new\/unknown sources\n– duplicate spellings\n– truncated names\n– \u201cmisc\u201d buckets growing over time<\/p>\n\n\n\n

                    This is how Referral Naming Convention<\/strong> becomes a durable part of Direct & Retention Marketing<\/strong> operations and keeps Referral Marketing<\/strong> measurable as you scale.<\/p>\n\n\n\n

                    Tools Used for Referral Naming Convention<\/h2>\n\n\n\n

                    A Referral Naming Convention<\/strong> is implemented through workflows more than any single product. Common tool categories include:<\/p>\n\n\n\n

                      \n
                    • Analytics tools:<\/strong> to define dimensions\/properties, validate incoming values, and build consistent referral reports.<\/li>\n
                    • Tag management systems:<\/strong> to standardize parameters and ensure consistent event properties across web experiences.<\/li>\n
                    • Marketing automation tools:<\/strong> to enforce naming in email\/SMS campaigns that distribute referral prompts and links.<\/li>\n
                    • CRM systems:<\/strong> to store referral source details, advocate\/referred relationships, and lifecycle attribution used by Direct & Retention Marketing<\/strong>.<\/li>\n
                    • Data warehouses and transformation layers (where applicable):<\/strong> to map legacy names, deduplicate sources, and create canonical referral dimensions.<\/li>\n
                    • Reporting dashboards:<\/strong> to centralize KPI views and reduce spreadsheet-based recoding.<\/li>\n
                    • Documentation and collaboration tools:<\/strong> to host the naming dictionary, examples, and approval workflow.<\/li>\n<\/ul>\n\n\n\n

                      For Referral Marketing<\/strong>, the key is alignment: whichever tools you use, the same naming rules must show up consistently in each system.<\/p>\n\n\n\n

                      Metrics Related to Referral Naming Convention<\/h2>\n\n\n\n

                      A Referral Naming Convention<\/strong> supports measurement rather than being a KPI itself. The most relevant indicators include:<\/p>\n\n\n\n

                        \n
                      • Share-to-click rate:<\/strong> how often advocates generate clicks from referral prompts (segment by placement).<\/li>\n
                      • Click-to-signup and click-to-purchase rate:<\/strong> conversion efficiency by source and campaign.<\/li>\n
                      • Referral conversion rate:<\/strong> percent of referred users who convert in a defined window.<\/li>\n
                      • Cost per referred acquisition:<\/strong> incentive costs plus program overhead divided by referred conversions.<\/li>\n
                      • Referral-driven LTV and retention:<\/strong> how referred cohorts perform over time (a core Direct & Retention Marketing<\/strong> outcome).<\/li>\n
                      • Advocate activation rate:<\/strong> percent of eligible customers who share.<\/li>\n
                      • Data quality metrics:<\/strong> percent of referral traffic with a recognized source, number of duplicate sources, and volume of \u201cunknown\/other.\u201d<\/li>\n<\/ul>\n\n\n\n

                        When these metrics are segmented cleanly, Referral Marketing<\/strong> optimization becomes systematic rather than anecdotal.<\/p>\n\n\n\n

                        Future Trends of Referral Naming Convention<\/h2>\n\n\n\n

                        Several trends are shaping how Referral Naming Convention<\/strong> evolves inside Direct & Retention Marketing<\/strong>:<\/p>\n\n\n\n

                          \n
                        • More automation and validation:<\/strong> teams are increasingly adding automated checks that block launches when names don\u2019t match approved values.<\/li>\n
                        • AI-assisted governance:<\/strong> AI can help suggest standardized names, detect duplicates, and recommend mappings from messy inputs\u2014especially useful during migrations.<\/li>\n
                        • Privacy-aware measurement:<\/strong> as tracking becomes less deterministic, consistent naming becomes even more important for modeled and aggregated reporting.<\/li>\n
                        • Deeper personalization:<\/strong> referral prompts vary by customer segment; naming conventions will increasingly include segment or lifecycle context (carefully, to avoid excessive complexity).<\/li>\n
                        • Unified lifecycle reporting:<\/strong> companies are connecting referral data to onboarding, retention, and reactivation dashboards, making Referral Naming Convention<\/strong> a foundational layer of Direct & Retention Marketing<\/strong> analytics.<\/li>\n<\/ul>\n\n\n\n

                          Referral Naming Convention vs Related Terms<\/h2>\n\n\n\n

                          Referral Naming Convention vs UTM naming convention<\/h3>\n\n\n\n

                          A UTM naming convention focuses on standardized values in campaign parameters used broadly across marketing. A Referral Naming Convention<\/strong> is narrower and deeper: it standardizes referral-specific sources, placements, codes, and advocate\/referred context used in Referral Marketing<\/strong> and tied to Direct & Retention Marketing<\/strong> outcomes.<\/p>\n\n\n\n

                          Referral Naming Convention vs campaign naming convention<\/h3>\n\n\n\n

                          A campaign naming convention standardizes how campaigns are labeled across channels (paid, email, social). A Referral Naming Convention<\/strong> often includes campaign naming, but extends to referral mechanics such as invite flows, share surfaces, partner identifiers, and incentive structures.<\/p>\n\n\n\n

                          Referral Naming Convention vs referral attribution<\/h3>\n\n\n\n

                          Referral attribution is the method of assigning credit for a conversion (rules, models, windows). A Referral Naming Convention<\/strong> doesn\u2019t decide credit\u2014it ensures the entities involved in attribution are labeled consistently so attribution can be analyzed and trusted.<\/p>\n\n\n\n

                          Who Should Learn Referral Naming Convention<\/h2>\n\n\n\n
                            \n
                          • Marketers:<\/strong> to launch referral initiatives that can be measured and optimized in Direct & Retention Marketing<\/strong>.<\/li>\n
                          • Analysts:<\/strong> to reduce data cleanup, improve segmentation, and create reliable referral dashboards for Referral Marketing<\/strong>.<\/li>\n
                          • Agencies and consultants:<\/strong> to standardize client reporting and avoid misattribution across multi-channel referral efforts.<\/li>\n
                          • Business owners and founders:<\/strong> to understand what drives scalable word-of-mouth and where referral performance is truly coming from.<\/li>\n
                          • Developers and product teams:<\/strong> to implement consistent event properties, code structures, and tracking hooks that keep referral data coherent.<\/li>\n<\/ul>\n\n\n\n

                            Summary of Referral Naming Convention<\/h2>\n\n\n\n

                            A Referral Naming Convention<\/strong> is a standardized system for labeling referral sources, campaigns, placements, links, and codes so referral data stays consistent across tools and teams. It matters because clean naming is a prerequisite for trustworthy reporting, rapid experimentation, and scalable optimization. Within Direct & Retention Marketing<\/strong>, it enables lifecycle-level insight into referred cohorts and advocate behavior. Within Referral Marketing<\/strong>, it turns word-of-mouth efforts into a measurable, improvable growth engine.<\/p>\n\n\n\n

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

                            1) What is a Referral Naming Convention, in simple terms?<\/h3>\n\n\n\n

                            A Referral Naming Convention<\/strong> is a set of rules for how you name referral sources and campaigns so analytics and reporting group the same thing together every time.<\/p>\n\n\n\n

                            2) How does Referral Naming Convention help Referral Marketing performance?<\/h3>\n\n\n\n

                            In Referral Marketing<\/strong>, consistent naming lets you accurately compare partners, placements, and incentives\u2014so you can scale what works and stop funding what doesn\u2019t.<\/p>\n\n\n\n

                            3) Should referral naming be owned by marketing, analytics, or engineering?<\/h3>\n\n\n\n

                            Ideally it\u2019s co-owned: marketing defines the business taxonomy, analytics ensures measurability, and engineering\/product ensures consistent implementation in events and systems.<\/p>\n\n\n\n

                            4) What are the minimum fields I should standardize?<\/h3>\n\n\n\n

                            For most teams: source, channel, placement, and campaign. If incentives vary, add an incentive field. Start minimal and expand only when reporting needs justify it.<\/p>\n\n\n\n

                            5) How do I handle legacy or messy referral source names?<\/h3>\n\n\n\n

                            Create a mapping table from old values to new canonical names. Apply it in reporting or data transforms so historical trends remain usable while new campaigns follow the updated convention.<\/p>\n\n\n\n

                            6) Can a Referral Naming Convention fix attribution problems caused by privacy or cross-device behavior?<\/h3>\n\n\n\n

                            No. It can\u2019t restore missing signals, but it can reduce ambiguity and improve the reliability of what you can<\/em> observe\u2014especially when you rely on aggregated or modeled measurement.<\/p>\n\n\n\n

                            7) How often should we audit our naming convention?<\/h3>\n\n\n\n

                            Quarterly is a practical cadence for most Direct & Retention Marketing<\/strong> teams. Audit more frequently during rapid growth, platform migrations, or major Referral Marketing<\/strong> expansions.<\/p>\n","protected":false},"excerpt":{"rendered":"

                            A **Referral Naming Convention** is a standardized way to label referral sources, campaigns, links, codes, and partners so everyone tracks and reports referrals consistently. In **Direct & Retention Marketing**, that consistency is the difference between \u201cwe think referrals work\u201d and \u201cwe can prove which referrers, messages, and incentives drive profitable customers.\u201d In **Referral Marketing**, where word-of-mouth is intentionally engineered through links and incentives, a shared naming system keeps attribution clean across channels, devices, and teams.<\/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-8394","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\/8394","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=8394"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/8394\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=8394"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=8394"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=8394"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}