{"id":7232,"date":"2026-03-24T05:05:20","date_gmt":"2026-03-24T05:05:20","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/cro-naming-convention\/"},"modified":"2026-03-24T05:05:20","modified_gmt":"2026-03-24T05:05:20","slug":"cro-naming-convention","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/cro-naming-convention\/","title":{"rendered":"CRO Naming Convention: What It Is, Key Features, Benefits, Use Cases, and How It Fits in CRO"},"content":{"rendered":"\n

A CRO Naming Convention<\/strong> is a standardized, repeatable way to name experiments, variants, audiences, events, and reports so everyone can interpret results the same way. In Conversion & Measurement<\/strong>, naming isn\u2019t cosmetic\u2014it\u2019s how you prevent data ambiguity, reduce reporting errors, and keep testing velocity high as programs scale. Within CRO<\/strong>, the quality of your decisions depends on the traceability of what was tested, where it ran, who saw it, and how success was measured.<\/p>\n\n\n\n

Modern teams run many tests across pages, channels, devices, and segments. Without a consistent CRO Naming Convention<\/strong>, you quickly end up with messy dashboards, duplicated tests, unclear outcomes, and \u201cwe can\u2019t find that result\u201d moments. With a strong convention, your test learnings become reusable assets instead of one-off insights.<\/p>\n\n\n\n

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

A CRO Naming Convention<\/strong> is a defined taxonomy and format for labeling CRO-related artifacts\u2014most commonly A\/B tests, multivariate tests, personalization rules, feature flags, and the analytics objects that measure them. The core concept is simple: if two people look at the same name, they should infer the same meaning (page, goal, audience, hypothesis, version, and timeframe) without digging through notes.<\/p>\n\n\n\n

From a business perspective, a CRO Naming Convention<\/strong> protects the integrity of Conversion & Measurement<\/strong> by making tests auditable and comparable over time. It helps stakeholders answer practical questions like:<\/p>\n\n\n\n

    \n
  • Which checkout experiments ran last quarter on mobile?<\/li>\n
  • What did we test for first-time visitors on the pricing page?<\/li>\n
  • Which variant corresponds to the \u201cshort form\u201d version in analytics?<\/li>\n<\/ul>\n\n\n\n

    In CRO<\/strong>, naming is an operational layer that supports experimentation rigor. It bridges strategy (hypotheses and goals) with execution (implementation and tracking) and ensures results can be trusted, found, and applied.<\/p>\n\n\n\n

    Why CRO Naming Convention Matters in Conversion & Measurement<\/h2>\n\n\n\n

    In Conversion & Measurement<\/strong>, clear naming is a force multiplier. It improves the reliability of reporting, reduces interpretation disputes, and speeds up decision-making.<\/p>\n\n\n\n

    Strategically, a CRO Naming Convention<\/strong> enables:<\/p>\n\n\n\n

      \n
    • Experiment portfolio management:<\/strong> You can categorize tests by funnel step, page type, audience, or goal and see where your program is investing effort.<\/li>\n
    • Comparable learnings:<\/strong> Standard names allow aggregation (for example, \u201cpricing-page value proposition tests\u201d) to spot patterns across time.<\/li>\n
    • Governance and risk control:<\/strong> Regulated or high-stakes environments benefit from traceability: what changed, when, and why.<\/li>\n<\/ul>\n\n\n\n

      The business value shows up in outcomes: faster iteration cycles, fewer measurement mistakes, and better alignment between marketing, product, analytics, and engineering. Teams that operationalize naming often gain a competitive advantage because their CRO<\/strong> program scales cleanly while others get bogged down in confusion and rework.<\/p>\n\n\n\n

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

      A CRO Naming Convention<\/strong> works best when treated as a workflow embedded in your testing process\u2014created early, enforced consistently, and validated in reporting.<\/p>\n\n\n\n

        \n
      1. Input (planning trigger):<\/strong> A test brief is created: page\/surface, primary KPI, audience, hypothesis, and implementation approach. At this point, the naming structure is applied.<\/li>\n
      2. Processing (standardization):<\/strong> The test is assigned a unique identifier, a consistent pattern (such as FunnelStep_Page_Goal_Audience_Hypothesis_Version_Date<\/code>), and controlled vocabulary (approved page names, audiences, and goals).<\/li>\n
      3. Execution (application across systems):<\/strong> The same naming is used in the experimentation tool, analytics events, tag manager labels, dashboards, tickets, and documentation. This is where Conversion & Measurement<\/strong> alignment happens.<\/li>\n
      4. Output (traceable results):<\/strong> Reports, analyses, and post-test learnings map back cleanly to the test name, making outcomes searchable and reusable across your CRO<\/strong> knowledge base.<\/li>\n<\/ol>\n\n\n\n

        If you only name the experiment in one system but not in analytics or reporting, you haven\u2019t fully implemented a CRO Naming Convention<\/strong>\u2014you\u2019ve just labeled a test.<\/p>\n\n\n\n

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

        A durable CRO Naming Convention<\/strong> includes both structure (format) and governance (rules).<\/p>\n\n\n\n

        Core elements to encode<\/h3>\n\n\n\n

        Most teams encode some subset of the following:<\/p>\n\n\n\n

          \n
        • Unique test ID:<\/strong> A sequential or structured ID that never changes (for example, EXP-0247<\/code>).<\/li>\n
        • Surface\/location:<\/strong> Site section, product area, or app screen (pricing, PDP, checkout, onboarding).<\/li>\n
        • Funnel stage:<\/strong> Acquisition, activation, purchase, retention\u2014useful for Conversion & Measurement<\/strong> rollups.<\/li>\n
        • Primary KPI or goal:<\/strong> Signup, add-to-cart, purchase, lead submit, trial start.<\/li>\n
        • Audience\/segment:<\/strong> New vs returning, geo, device, plan tier, traffic source.<\/li>\n
        • Hypothesis shorthand:<\/strong> A brief, standardized theme (clarity, trust, friction reduction).<\/li>\n
        • Variant descriptors:<\/strong> Control vs treatment labels that remain consistent across tools.<\/li>\n
        • Date and versioning:<\/strong> Start date, iteration number, or sprint reference.<\/li>\n<\/ul>\n\n\n\n

          Systems the convention must cover<\/h3>\n\n\n\n

          A practical CRO Naming Convention<\/strong> spans:<\/p>\n\n\n\n

            \n
          • Experimentation platform names<\/li>\n
          • Analytics event and parameter names<\/li>\n
          • Tag manager triggers\/variables<\/li>\n
          • Dashboard\/report names<\/li>\n
          • Documentation, tickets, and repository branches (when relevant)<\/li>\n<\/ul>\n\n\n\n

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

            To keep CRO<\/strong> execution consistent, define:<\/p>\n\n\n\n

              \n
            • Owner:<\/strong> Usually analytics lead, experimentation lead, or a CRO program manager.<\/li>\n
            • Allowed vocabulary:<\/strong> A controlled list of page names, goals, and audiences.<\/li>\n
            • Review checkpoints:<\/strong> Naming validation during QA and pre-launch measurement checks.<\/li>\n
            • Change control:<\/strong> Rules for what can be edited after launch (often: not the ID).<\/li>\n<\/ul>\n\n\n\n

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

              There aren\u2019t \u201cofficial\u201d industry-standard types, but in practice, teams use several naming layers depending on what they need to track in Conversion & Measurement<\/strong>.<\/p>\n\n\n\n

                \n
              1. Experiment naming:<\/strong> The human-readable experiment title plus a stable ID (best for tracking velocity and learnings).<\/li>\n
              2. Variant naming:<\/strong> Consistent Control<\/code> and Variant A\/B<\/code> plus a descriptor (best for analysis clarity).<\/li>\n
              3. Tracking\/event naming:<\/strong> Standard event names and parameters that connect exposures and conversions (best for measurement integrity).<\/li>\n
              4. Campaign and traffic naming alignment:<\/strong> Mapping experiments to paid\/email\/SEO traffic taxonomies when tests are channel-specific (useful where CRO<\/strong> intersects acquisition).<\/li>\n
              5. Documentation naming:<\/strong> Standard test brief and results templates, making knowledge searchable.<\/li>\n<\/ol>\n\n\n\n

                The key distinction is scope: some conventions are meant for experimentation tools, while others exist primarily to keep analytics clean for Conversion & Measurement<\/strong>.<\/p>\n\n\n\n

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

                Example 1: Ecommerce checkout friction test<\/h3>\n\n\n\n

                A retail team tests simplifying checkout fields for mobile users.<\/p>\n\n\n\n

                  \n
                • Experiment ID:<\/strong> EXP-0312<\/code><\/li>\n
                • Experiment name:<\/strong> Checkout_Mobile_Purchase_FieldReduction_v1_2026-03<\/code><\/li>\n
                • Variants:<\/strong> Control_StandardFields<\/code> vs VarA_ReducedFields<\/code><\/li>\n
                • Measurement notes:<\/strong> Exposure event includes exp_id=EXP-0312<\/code> and variant=VarA<\/code><\/li>\n<\/ul>\n\n\n\n

                  This CRO Naming Convention<\/strong> makes it easy to filter results in Conversion & Measurement<\/strong> dashboards by funnel step (Checkout), device (Mobile), and KPI (Purchase).<\/p>\n\n\n\n

                  Example 2: B2B lead form trust signals on pricing<\/h3>\n\n\n\n

                  A SaaS company tests adding customer logos above a demo request form on the pricing page.<\/p>\n\n\n\n

                    \n
                  • Experiment ID:<\/strong> EXP-0189<\/code><\/li>\n
                  • Experiment name:<\/strong> Pricing_Lead_DemoSubmit_TrustSignals_v2_2026-02<\/code><\/li>\n
                  • Audience:<\/strong> AllVisitors<\/code> (or a defined segment like US_Desktop<\/code>)<\/li>\n
                  • Variants:<\/strong> Control_NoLogos<\/code> vs VarA_LogosStrip<\/code><\/li>\n<\/ul>\n\n\n\n

                    Because the convention standardizes page and KPI, the CRO<\/strong> team can compare this against other pricing-page trust tests in Conversion & Measurement<\/strong> reporting.<\/p>\n\n\n\n

                    Example 3: Onboarding activation microcopy test in-app<\/h3>\n\n\n\n

                    A product-led team tests microcopy changes on a key onboarding step.<\/p>\n\n\n\n

                      \n
                    • Experiment ID:<\/strong> EXP-0450<\/code><\/li>\n
                    • Experiment name:<\/strong> Onboarding_Activation_Step2_MicrocopyClarity_v1_2026-03<\/code><\/li>\n
                    • Primary metric:<\/strong> Activation completion within 24 hours<\/li>\n
                    • Secondary metrics:<\/strong> Drop-off rate, time-to-complete<\/li>\n<\/ul>\n\n\n\n

                      A consistent CRO Naming Convention<\/strong> helps unify product analytics events and experimentation results so activation measurement stays consistent.<\/p>\n\n\n\n

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

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

                        \n
                      • Faster analysis:<\/strong> Analysts don\u2019t waste time decoding labels or hunting for test context.<\/li>\n
                      • Cleaner dashboards:<\/strong> Conversion & Measurement<\/strong> reporting becomes filterable and comparable.<\/li>\n
                      • Lower operational cost:<\/strong> Less rework, fewer \u201cwhich variant was that?\u201d meetings, fewer mis-tagged experiments.<\/li>\n
                      • Higher experiment velocity:<\/strong> Teams can run more tests with less coordination overhead.<\/li>\n
                      • Better customer experience continuity:<\/strong> Reduced risk of conflicting tests or duplicated changes across the same surface.<\/li>\n
                      • Stronger institutional memory:<\/strong> Results remain searchable and reusable for future CRO<\/strong> planning.<\/li>\n<\/ul>\n\n\n\n

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

                        Even simple naming rules can fail without adoption and enforcement.<\/p>\n\n\n\n

                          \n
                        • Inconsistent usage across teams:<\/strong> Marketing, product, and engineering may name the same thing differently, breaking Conversion & Measurement<\/strong> alignment.<\/li>\n
                        • Tool constraints:<\/strong> Some systems limit name length or character sets, forcing careful design.<\/li>\n
                        • Legacy mess:<\/strong> Existing tests and events may be poorly labeled, making migration painful.<\/li>\n
                        • Over-engineering risk:<\/strong> Too many fields in the name can make it unreadable; too few reduces usefulness.<\/li>\n
                        • Ambiguous segments and goals:<\/strong> If \u201cactivation\u201d or \u201cqualified lead\u201d isn\u2019t defined, naming won\u2019t fix the underlying measurement problem.<\/li>\n<\/ul>\n\n\n\n

                          A CRO Naming Convention<\/strong> supports clarity, but it can\u2019t compensate for unclear KPIs or weak governance.<\/p>\n\n\n\n

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

                          To make a CRO Naming Convention<\/strong> work in real operations, focus on consistency and usability.<\/p>\n\n\n\n

                          Design for both humans and systems<\/h3>\n\n\n\n
                            \n
                          • Use a stable ID<\/strong> plus a readable name (IDs are for durability; names are for scanning).<\/li>\n
                          • Keep names short but informative<\/strong>; prefer controlled abbreviations over free-text.<\/li>\n
                          • Avoid special characters that break tools; stick to consistent separators (underscore or hyphen).<\/li>\n<\/ul>\n\n\n\n

                            Standardize a controlled vocabulary<\/h3>\n\n\n\n
                              \n
                            • Maintain approved lists for pages, funnel steps, goals, and segments.<\/li>\n
                            • Define a canonical way to describe device, geo, and audience rules.<\/li>\n<\/ul>\n\n\n\n

                              Make it part of QA<\/h3>\n\n\n\n
                                \n
                              • Add a \u201cnaming and tracking check\u201d to pre-launch QA in your CRO<\/strong> process.<\/li>\n
                              • Validate that the experiment name matches analytics labels and dashboard filters for Conversion & Measurement<\/strong>.<\/li>\n<\/ul>\n\n\n\n

                                Create a single source of truth<\/h3>\n\n\n\n
                                  \n
                                • Maintain an experiment registry with: ID, name, hypothesis, KPI definitions, start\/end dates, and links to analysis artifacts (stored internally).<\/li>\n
                                • Require post-test documentation using the same naming.<\/li>\n<\/ul>\n\n\n\n

                                  Scale with governance<\/h3>\n\n\n\n
                                    \n
                                  • Assign an owner (or rotating reviewer) to approve new naming entries.<\/li>\n
                                  • Run quarterly audits to identify duplicates, inconsistencies, and dead conventions.<\/li>\n<\/ul>\n\n\n\n

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

                                    A CRO Naming Convention<\/strong> is tool-agnostic, but it becomes real through the systems you use daily in CRO<\/strong> and Conversion & Measurement<\/strong>.<\/p>\n\n\n\n

                                    Common tool groups include:<\/p>\n\n\n\n

                                      \n
                                    • Analytics tools:<\/strong> Where events, conversions, and segments are analyzed; naming must align with reporting dimensions.<\/li>\n
                                    • Tag management systems:<\/strong> Where triggers, tags, and variables need consistent labels to prevent tracking drift.<\/li>\n
                                    • Experimentation and personalization platforms:<\/strong> Where experiment and variant names are created and referenced by stakeholders.<\/li>\n
                                    • Data warehouses and transformation layers:<\/strong> Where consistent IDs and parameters allow reliable joins and cohort analysis.<\/li>\n
                                    • Reporting dashboards\/BI tools:<\/strong> Where naming drives filters, categories, and portfolio views.<\/li>\n
                                    • Project management and documentation tools:<\/strong> Where test briefs, tickets, and results repositories need the same identifiers.<\/li>\n<\/ul>\n\n\n\n

                                      If these systems don\u2019t share a coherent naming approach, your Conversion & Measurement<\/strong> layer will fragment, and your CRO<\/strong> program will slow down.<\/p>\n\n\n\n

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

                                      Naming quality can be measured indirectly by operational and data-quality indicators. Useful metrics include:<\/p>\n\n\n\n

                                        \n
                                      • Time to find a past test:<\/strong> Median time for a team member to locate the correct analysis and decision.<\/li>\n
                                      • Reporting error rate:<\/strong> Number of misattributed results, mislabeled variants, or broken filters per month.<\/li>\n
                                      • Tracking QA failure rate:<\/strong> Percent of experiments that fail measurement QA due to naming\/parameter issues.<\/li>\n
                                      • Experiment cycle time:<\/strong> Time from ideation to decision; naming reduces overhead in handoffs.<\/li>\n
                                      • Experiment portfolio coverage:<\/strong> Percent of tests correctly categorized by funnel stage, page, and KPI in Conversion & Measurement<\/strong> dashboards.<\/li>\n
                                      • Re-test avoidance rate:<\/strong> Fewer duplicate tests indicate better discoverability and CRO<\/strong> knowledge reuse.<\/li>\n<\/ul>\n\n\n\n

                                        These metrics make the value of a CRO Naming Convention<\/strong> visible to leadership.<\/p>\n\n\n\n

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

                                        Several trends are shaping how CRO Naming Convention<\/strong> practices evolve within Conversion & Measurement<\/strong>:<\/p>\n\n\n\n

                                          \n
                                        • Automation and templates:<\/strong> More teams use structured briefs and auto-generated IDs to reduce manual errors.<\/li>\n
                                        • AI-assisted governance:<\/strong> AI can flag inconsistent labels, suggest standardized names, and detect duplicates across registries\u2014useful as CRO<\/strong> programs scale.<\/li>\n
                                        • Privacy-driven measurement changes:<\/strong> As tracking becomes more constrained, consistent naming and parameter discipline become more important to reconcile modeled and observed data in Conversion & Measurement<\/strong>.<\/li>\n
                                        • Personalization at scale:<\/strong> More segments and experiences increase the need for strict audience and variant naming to avoid confusion.<\/li>\n
                                        • Experimentation across surfaces:<\/strong> Web, app, email, and in-product messages require unified taxonomies so results can be compared and combined.<\/li>\n<\/ul>\n\n\n\n

                                          The direction is clear: CRO Naming Convention<\/strong> is becoming a foundational capability, not a \u201cnice to have.\u201d<\/p>\n\n\n\n

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

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

                                          A UTM convention focuses on labeling traffic sources and campaigns for acquisition reporting. A CRO Naming Convention<\/strong> focuses on labeling experiments, variants, and measurement objects for test interpretation. They should align when experiments are channel-specific, but they solve different problems in Conversion & Measurement<\/strong>.<\/p>\n\n\n\n

                                          CRO Naming Convention vs event taxonomy<\/h3>\n\n\n\n

                                          An event taxonomy defines how you name and structure analytics events (for example, signup_submit<\/code>). A CRO Naming Convention<\/strong> is broader: it includes event naming, but also covers experiment IDs, variants, dashboards, and documentation used in CRO<\/strong> operations.<\/p>\n\n\n\n

                                          CRO Naming Convention vs experiment documentation template<\/h3>\n\n\n\n

                                          A template standardizes what you write down (hypothesis, KPI, results). A CRO Naming Convention<\/strong> standardizes how you label the artifacts so they can be searched, joined, and compared across Conversion & Measurement<\/strong> systems. The best programs use both.<\/p>\n\n\n\n

                                          Who Should Learn CRO Naming Convention<\/h2>\n\n\n\n
                                            \n
                                          • Marketers:<\/strong> To connect messaging changes to measurable outcomes and maintain clean reporting in Conversion & Measurement<\/strong>.<\/li>\n
                                          • Analysts:<\/strong> To reduce ambiguity, speed analysis, and improve data integrity for CRO<\/strong> decisions.<\/li>\n
                                          • Agencies:<\/strong> To deliver consistent experimentation programs across clients and make results portable and auditable.<\/li>\n
                                          • Business owners and founders:<\/strong> To ensure growth experiments produce trustworthy learnings and reduce waste from duplicated tests.<\/li>\n
                                          • Developers:<\/strong> To implement tracking and experiment hooks consistently, preventing mismatches between code, analytics, and reporting.<\/li>\n<\/ul>\n\n\n\n

                                            A shared CRO Naming Convention<\/strong> is one of the fastest ways to improve cross-functional execution.<\/p>\n\n\n\n

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

                                            A CRO Naming Convention<\/strong> is a standardized system for naming experiments, variants, events, and related reporting artifacts so results remain clear, searchable, and comparable. It matters because Conversion & Measurement<\/strong> depends on consistent labels to avoid errors and accelerate decision-making. Within CRO<\/strong>, naming supports experiment governance, portfolio analysis, and long-term knowledge reuse. When applied across tools and enforced through QA and ownership, it becomes a practical foundation for scaling experimentation.<\/p>\n\n\n\n

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

                                            1) What should a CRO Naming Convention include at minimum?<\/h3>\n\n\n\n

                                            At minimum: a stable experiment ID, the page\/surface, the primary KPI, and clear variant labels (control vs treatment). This is usually enough to keep Conversion & Measurement<\/strong> reporting interpretable.<\/p>\n\n\n\n

                                            2) How long should an experiment name be?<\/h3>\n\n\n\n

                                            Long enough to be unambiguous, short enough to scan quickly. Many teams aim for 5\u20138 meaningful tokens plus a date or version, while relying on an ID for full traceability.<\/p>\n\n\n\n

                                            3) Do we need the same naming in analytics and the testing tool?<\/h3>\n\n\n\n

                                            Yes. A CRO Naming Convention<\/strong> works best when the experiment ID and variant labels match across the experimentation platform, analytics events\/parameters, and dashboards. Otherwise Conversion & Measurement<\/strong> joins and filters break.<\/p>\n\n\n\n

                                            4) How does CRO Naming Convention help CRO results?<\/h3>\n\n\n\n

                                            It reduces analysis mistakes, speeds up reporting, and improves knowledge reuse. Better operational clarity helps CRO<\/strong> teams run more tests and make faster, more confident decisions.<\/p>\n\n\n\n

                                            5) What\u2019s the biggest mistake teams make with naming?<\/h3>\n\n\n\n

                                            Treating naming as optional or \u201clater.\u201d If names are inconsistent at launch, retrofitting across tools is time-consuming and often incomplete, undermining Conversion & Measurement<\/strong> accuracy.<\/p>\n\n\n\n

                                            6) Should we rename old experiments to match a new convention?<\/h3>\n\n\n\n

                                            Usually, keep the original ID stable and add a mapped \u201cstandard name\u201d field in a registry or dashboard. Renaming inside tools can break historical comparisons unless carefully managed.<\/p>\n\n\n\n

                                            7) Who should own CRO Naming Convention governance?<\/h3>\n\n\n\n

                                            Typically the experimentation lead, analytics lead, or a CRO program manager. The owner\u2019s job is to maintain controlled vocabularies, enforce QA checks, and keep Conversion & Measurement<\/strong> reporting consistent across teams.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                            A **CRO Naming Convention** is a standardized, repeatable way to name experiments, variants, audiences, events, and reports so everyone can interpret results the same way. In **Conversion & Measurement**, naming isn\u2019t cosmetic\u2014it\u2019s how you prevent data ambiguity, reduce reporting errors, and keep testing velocity high as programs scale. Within **CRO**, the quality of your decisions depends on the traceability of what was tested, where it ran, who saw it, and how success was measured.<\/p>\n","protected":false},"author":10235,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1889],"tags":[],"class_list":["post-7232","post","type-post","status-publish","format-standard","hentry","category-cro"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/7232","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=7232"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/7232\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=7232"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=7232"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=7232"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}