{"id":7788,"date":"2026-03-25T02:16:16","date_gmt":"2026-03-25T02:16:16","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/crm-audit\/"},"modified":"2026-03-25T02:16:16","modified_gmt":"2026-03-25T02:16:16","slug":"crm-audit","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/crm-audit\/","title":{"rendered":"CRM Audit: What It Is, Key Features, Benefits, Use Cases, and How It Fits in CRM Marketing"},"content":{"rendered":"\n

A CRM Audit<\/strong> is a structured evaluation of how your customer relationship management data, processes, and campaigns perform across the full lifecycle\u2014from acquisition to retention and win-back. In Direct & Retention Marketing<\/strong>, where success depends on timely, relevant, measurable communications, a CRM Audit helps you identify what\u2019s working, what\u2019s broken, and what\u2019s quietly draining budget or damaging customer experience.<\/p>\n\n\n\n

Done well, a CRM Audit becomes the \u201chealth check\u201d for your CRM Marketing<\/strong> engine. It ensures your data is trustworthy, your segmentation is meaningful, your automation is behaving as intended, and your reporting is aligned with business outcomes\u2014not vanity metrics.<\/p>\n\n\n\n

What Is CRM Audit?<\/h2>\n\n\n\n

A CRM Audit<\/strong> is the process of reviewing and validating the people, data, technology, and workflows that power your CRM-driven customer communications. For beginners, think of it as answering four practical questions:<\/p>\n\n\n\n

    \n
  • Do we have the right customer data, and is it accurate?<\/li>\n
  • Are we using that data responsibly and compliantly?<\/li>\n
  • Are our lifecycle campaigns (welcome, onboarding, retention, reactivation) configured correctly?<\/li>\n
  • Can we prove impact with reliable measurement?<\/li>\n<\/ul>\n\n\n\n

    The core concept is simple: CRM Marketing<\/strong> only works as well as the underlying data and operational setup. In Direct & Retention Marketing<\/strong>, small issues\u2014like duplicated contacts, broken events, misfiring automations, or inconsistent attribution\u2014can snowball into poor targeting, wasted sends, and eroded trust.<\/p>\n\n\n\n

    Business-wise, a CRM Audit connects operational details (fields, event tracking, consent, deliverability, automation logic) to outcomes like repeat purchase rate, churn reduction, and customer lifetime value.<\/p>\n\n\n\n

    Why CRM Audit Matters in Direct & Retention Marketing<\/h2>\n\n\n\n

    In Direct & Retention Marketing<\/strong>, you typically have more control than in paid acquisition: you control the audience, message timing, and personalization. That also means your internal issues are the biggest limiter. A CRM Audit<\/strong> matters because it:<\/p>\n\n\n\n

      \n
    • Protects revenue<\/strong> by ensuring lifecycle campaigns reach the right people at the right time.<\/li>\n
    • Improves efficiency<\/strong> by reducing unnecessary sends, manual work, and rework caused by data problems.<\/li>\n
    • Strengthens customer experience<\/strong> by preventing irrelevant or contradictory communications.<\/li>\n
    • Reduces risk<\/strong> by verifying consent, preference handling, and data governance.<\/li>\n
    • Creates competitive advantage<\/strong> by enabling faster experimentation and more accurate personalization.<\/li>\n<\/ul>\n\n\n\n

      Teams often invest heavily in automation but underinvest in ongoing validation. A CRM Audit closes that gap, which is why it\u2019s a practical cornerstone of modern CRM Marketing<\/strong> operations.<\/p>\n\n\n\n

      How CRM Audit Works<\/h2>\n\n\n\n

      A CRM Audit<\/strong> is both analytical and operational. In practice, it follows a workflow that connects \u201cwhat exists\u201d to \u201cwhat should happen\u201d and \u201cwhat actually happens.\u201d<\/p>\n\n\n\n

        \n
      1. \n

        Input \/ Trigger<\/strong>\n – A performance drop (lower opens, conversions, repeat rate)\n – A platform migration, new data source, or schema change\n – Compliance needs, leadership reporting requests, or growth targets\n – A planned scale-up in Direct & Retention Marketing<\/strong> (more channels, more journeys)<\/p>\n<\/li>\n

      2. \n

        Analysis \/ Diagnosis<\/strong>\n – Review customer data models, identity resolution, and data quality\n – Validate tracking and event instrumentation (web\/app\/offline)\n – Inspect segmentation logic and automation entry\/exit rules\n – Compare reported results to source-of-truth systems (orders, product usage, support)<\/p>\n<\/li>\n

      3. \n

        Execution \/ Remediation<\/strong>\n – Fix field mappings, deduplication rules, and identity joins\n – Update consent and preference handling\n – Refactor journeys, throttling, frequency caps, and suppression logic\n – Align reporting definitions and dashboards<\/p>\n<\/li>\n

      4. \n

        Output \/ Outcome<\/strong>\n – A prioritized issue list with owners and deadlines\n – A cleaned dataset and clearer customer views\n – More reliable measurement for CRM Marketing<\/strong>\n – Improved deliverability, conversions, retention, and customer satisfaction<\/p>\n<\/li>\n<\/ol>\n\n\n\n

        The goal is not \u201cperfect data.\u201d The goal is decision-grade<\/strong> data and dependable campaign operations for Direct & Retention Marketing<\/strong>.<\/p>\n\n\n\n

        Key Components of CRM Audit<\/h2>\n\n\n\n

        A strong CRM Audit<\/strong> typically covers these components:<\/p>\n\n\n\n

        Data and Identity<\/h3>\n\n\n\n
          \n
        • Contact and account schemas (fields, data types, required vs optional)<\/li>\n
        • Identity resolution (email, phone, customer IDs, device\/user IDs)<\/li>\n
        • Duplicate rates, merge rules, and household\/business relationships<\/li>\n
        • Data freshness and latency (real-time vs batch)<\/li>\n<\/ul>\n\n\n\n

          Tracking and Integration<\/h3>\n\n\n\n
            \n
          • Web\/app event tracking and naming conventions<\/li>\n
          • Purchase and subscription events (including refunds, cancellations)<\/li>\n
          • Offline imports (stores, call center, invoices)<\/li>\n
          • Integration reliability (failed syncs, partial payloads, retries)<\/li>\n<\/ul>\n\n\n\n

            Consent, Preferences, and Governance<\/h3>\n\n\n\n
              \n
            • Opt-in\/opt-out handling by channel<\/li>\n
            • Preference center logic and storage<\/li>\n
            • Suppression lists and compliance retention rules<\/li>\n
            • Role-based access and change management<\/li>\n<\/ul>\n\n\n\n

              Lifecycle Strategy and Operations<\/h3>\n\n\n\n
                \n
              • Journey inventory (welcome, onboarding, post-purchase, replenishment, win-back)<\/li>\n
              • Segmentation logic and exclusions (customers vs prospects, active vs churned)<\/li>\n
              • Frequency and fatigue controls<\/li>\n
              • Personalization rules and fallback logic<\/li>\n<\/ul>\n\n\n\n

                Measurement and Reporting<\/h3>\n\n\n\n
                  \n
                • Source-of-truth alignment (orders, billing, analytics)<\/li>\n
                • Attribution approach for CRM Marketing<\/strong> (holdouts, incrementality, last-touch)<\/li>\n
                • KPI definitions and consistent reporting windows<\/li>\n
                • Monitoring for anomalies (spikes in unsubscribes, bounces, complaint rates)<\/li>\n<\/ul>\n\n\n\n

                  Types of CRM Audit<\/h2>\n\n\n\n

                  \u201cTypes\u201d of CRM Audit<\/strong> are usually defined by scope and intent rather than a formal standard. Common approaches include:<\/p>\n\n\n\n

                    \n
                  1. \n

                    Data Quality CRM Audit<\/strong>\n – Focus: accuracy, completeness, duplication, and identity stitching\n – Best when personalization and segmentation underperform<\/p>\n<\/li>\n

                  2. \n

                    Lifecycle & Journey CRM Audit<\/strong>\n – Focus: automation logic, triggers, timing, message consistency\n – Best when Direct & Retention Marketing<\/strong> results plateau or customers complain<\/p>\n<\/li>\n

                  3. \n

                    Deliverability & Channel Health Audit<\/strong>\n – Focus: sender reputation signals, bounce\/complaint trends, list hygiene\n – Best when inbox placement and engagement decline<\/p>\n<\/li>\n

                  4. \n

                    Measurement & Attribution CRM Audit<\/strong>\n – Focus: KPI definitions, dashboard accuracy, incrementality methods\n – Best when stakeholders don\u2019t trust reporting or ROI claims<\/p>\n<\/li>\n

                  5. \n

                    Governance & Compliance Audit<\/strong>\n – Focus: consent handling, access control, retention policies, audit trails\n – Best when scaling teams or operating across regions and regulations<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                    Most organizations benefit from a blended CRM Audit that starts broad, then goes deep where risk and impact are highest.<\/p>\n\n\n\n

                    Real-World Examples of CRM Audit<\/h2>\n\n\n\n

                    Example 1: E-commerce retention drop after a site redesign<\/h3>\n\n\n\n

                    A retailer sees declining repeat purchases and blames creative. A CRM Audit<\/strong> finds that purchase events are firing inconsistently post-redesign, so customers aren\u2019t entering post-purchase flows. Fixing event tracking and adding monitoring restores lifecycle triggers, improving Direct & Retention Marketing<\/strong> conversions without changing templates.<\/p>\n\n\n\n

                    Example 2: B2B SaaS onboarding isn\u2019t reducing churn<\/h3>\n\n\n\n

                    A SaaS team runs onboarding emails but churn remains high. The CRM Audit reveals identity issues: product events are tied to user IDs while CRM records are tied to account IDs, so segmentation is wrong. After mapping users to accounts and rewriting segments, CRM Marketing<\/strong> can target \u201cactivated vs not activated\u201d users accurately, improving trial-to-paid and early retention.<\/p>\n\n\n\n

                    Example 3: Multi-brand frequency conflicts<\/h3>\n\n\n\n

                    A company with multiple brands sends promotions independently. A CRM Audit<\/strong> uncovers overlapping audiences and no global frequency cap, causing fatigue and unsubscribes. Implementing shared suppression logic and a cross-brand contact policy strengthens customer experience and stabilizes deliverability\u2014critical for Direct & Retention Marketing<\/strong> at scale.<\/p>\n\n\n\n

                    Benefits of Using CRM Audit<\/h2>\n\n\n\n

                    A well-executed CRM Audit<\/strong> delivers improvements that compound over time:<\/p>\n\n\n\n

                      \n
                    • Higher campaign performance:<\/strong> better targeting increases conversion and repeat rate.<\/li>\n
                    • Lower costs:<\/strong> fewer wasted sends, fewer manual fixes, fewer redundant tools or processes.<\/li>\n
                    • Operational efficiency:<\/strong> clearer ownership, standardized definitions, fewer firefights.<\/li>\n
                    • Better customer experience:<\/strong> fewer irrelevant messages, more consistent personalization.<\/li>\n
                    • More trustworthy ROI:<\/strong> improved measurement strengthens investment decisions in CRM Marketing<\/strong>.<\/li>\n
                    • Risk reduction:<\/strong> fewer consent mistakes and fewer data-handling surprises.<\/li>\n<\/ul>\n\n\n\n

                      Challenges of CRM Audit<\/h2>\n\n\n\n

                      A CRM Audit<\/strong> can be straightforward in small stacks, but real-world environments introduce complexity:<\/p>\n\n\n\n

                        \n
                      • Fragmented data:<\/strong> customer data spread across commerce, product, support, and sales systems.<\/li>\n
                      • Identity ambiguity:<\/strong> shared emails, multiple devices, household vs individual profiles.<\/li>\n
                      • Event drift:<\/strong> tracking changes over time without documentation.<\/li>\n
                      • Organizational silos:<\/strong> different teams \u201cown\u201d different parts of Direct & Retention Marketing<\/strong>.<\/li>\n
                      • Conflicting KPIs:<\/strong> retention, revenue, and deliverability goals can pull in different directions.<\/li>\n
                      • Limited experimentation:<\/strong> without holdouts or clean baselines, proving incrementality is hard.<\/li>\n<\/ul>\n\n\n\n

                        The solution is not \u201caudit once.\u201d It\u2019s to make auditing a repeatable operational practice.<\/p>\n\n\n\n

                        Best Practices for CRM Audit<\/h2>\n\n\n\n

                        To make a CRM Audit<\/strong> actionable (not just a report), use these practices:<\/p>\n\n\n\n

                          \n
                        • Start with an inventory:<\/strong> list journeys, segments, data sources, fields, and dashboards.<\/li>\n
                        • Define a source of truth:<\/strong> choose authoritative systems for orders, subscription status, and user activity.<\/li>\n
                        • Validate key joins:<\/strong> confirm how identities map across systems and where they break.<\/li>\n
                        • Audit exclusions and suppressions:<\/strong> many performance issues come from missing rules, not bad creative.<\/li>\n
                        • Use a severity framework:<\/strong> prioritize by customer harm, revenue impact, and compliance risk.<\/li>\n
                        • Create test personas:<\/strong> run controlled tests through entry criteria, messages, and exit rules.<\/li>\n
                        • Instrument monitoring:<\/strong> alerts for event drops, sync failures, bounce spikes, and unusual unsubscribe rates.<\/li>\n
                        • Document decisions:<\/strong> field definitions, segment logic, and measurement methodology should be written and shared.<\/li>\n
                        • Schedule cadence:<\/strong> quarterly light audits plus an annual deep audit is a common operating rhythm for CRM Marketing<\/strong>.<\/li>\n<\/ul>\n\n\n\n

                          Tools Used for CRM Audit<\/h2>\n\n\n\n

                          A CRM Audit<\/strong> is enabled by tools, but it\u2019s not owned by tools. Common tool groups include:<\/p>\n\n\n\n

                            \n
                          • CRM systems:<\/strong> contact records, lifecycle stages, activity history, preference fields.<\/li>\n
                          • Marketing automation platforms:<\/strong> journey builders, triggers, frequency caps, suppression rules.<\/li>\n
                          • Data warehouses and CDPs (where applicable):<\/strong> event collection, identity resolution, transformation logic.<\/li>\n
                          • Analytics tools:<\/strong> funnel analysis, cohort retention, experimentation readouts.<\/li>\n
                          • Tag management and event debugging tools:<\/strong> validate that events fire correctly and consistently.<\/li>\n
                          • BI and reporting dashboards:<\/strong> standardized KPI definitions and stakeholder-ready reporting.<\/li>\n
                          • Deliverability monitoring tools:<\/strong> list hygiene signals, bounce\/complaint trends, engagement health.<\/li>\n
                          • Project documentation systems:<\/strong> audit logs, data dictionaries, segmentation catalogs, runbooks.<\/li>\n<\/ul>\n\n\n\n

                            In Direct & Retention Marketing<\/strong>, the most valuable \u201ctool\u201d is often a shared taxonomy and monitoring discipline that prevents silent breakage.<\/p>\n\n\n\n

                            Metrics Related to CRM Audit<\/h2>\n\n\n\n

                            A CRM Audit<\/strong> should tie operational checks to measurable indicators. Useful metrics include:<\/p>\n\n\n\n

                            Data Quality Metrics<\/h3>\n\n\n\n
                              \n
                            • Duplicate contact rate<\/li>\n
                            • Percent of records with required fields (completeness)<\/li>\n
                            • Event match rate (events that successfully link to known profiles)<\/li>\n
                            • Data latency (time from action to availability for segmentation)<\/li>\n<\/ul>\n\n\n\n

                              Lifecycle Performance Metrics<\/h3>\n\n\n\n
                                \n
                              • Welcome\/onboarding conversion rate<\/li>\n
                              • Repeat purchase rate and time-to-second-purchase<\/li>\n
                              • Churn rate and reactivation rate<\/li>\n
                              • Customer lifetime value (and changes by cohort)<\/li>\n<\/ul>\n\n\n\n

                                Channel Health Metrics<\/h3>\n\n\n\n
                                  \n
                                • Bounce rate (hard vs soft)<\/li>\n
                                • Complaint\/spam report rate<\/li>\n
                                • Unsubscribe rate by journey and segment<\/li>\n
                                • Engagement distribution (how much of the list is inactive)<\/li>\n<\/ul>\n\n\n\n

                                  Efficiency and ROI Metrics<\/h3>\n\n\n\n
                                    \n
                                  • Revenue per message \/ per recipient (with caution and context)<\/li>\n
                                  • Cost per retained customer<\/li>\n
                                  • Automation coverage (share of revenue influenced by lifecycle journeys)<\/li>\n
                                  • Time-to-launch for new segments and campaigns<\/li>\n<\/ul>\n\n\n\n

                                    Metrics matter most when definitions are stable. A CRM Audit should explicitly document how each KPI is calculated in your CRM Marketing<\/strong> reporting.<\/p>\n\n\n\n

                                    Future Trends of CRM Audit<\/h2>\n\n\n\n

                                    Several trends are reshaping how CRM Audit<\/strong> is performed and why it\u2019s becoming more continuous:<\/p>\n\n\n\n

                                      \n
                                    • AI-assisted auditing:<\/strong> anomaly detection for event drops, audience shifts, and deliverability changes; automated QA of journey logic and content rules.<\/li>\n
                                    • Automation and \u201cself-healing\u201d pipelines:<\/strong> retries, schema validation, and monitoring reduce silent failures.<\/li>\n
                                    • Deeper personalization requirements:<\/strong> as Direct & Retention Marketing<\/strong> becomes more individualized, data quality standards rise.<\/li>\n
                                    • Privacy and consent complexity:<\/strong> stricter expectations around preference storage, proof of consent, and data minimization increase governance needs.<\/li>\n
                                    • Measurement evolution:<\/strong> more emphasis on incrementality testing and controlled experiments as attribution becomes less straightforward.<\/li>\n
                                    • Cross-channel orchestration:<\/strong> audits increasingly include SMS, in-app, push, and even offline triggers, not just email.<\/li>\n<\/ul>\n\n\n\n

                                      The direction is clear: CRM Audit<\/strong> is moving from periodic project to ongoing operational capability within CRM Marketing<\/strong> teams.<\/p>\n\n\n\n

                                      CRM Audit vs Related Terms<\/h2>\n\n\n\n

                                      CRM Audit vs CRM Data Cleaning<\/h3>\n\n\n\n

                                      Data cleaning focuses on correcting records (deduping, standardizing fields). A CRM Audit<\/strong> is broader: it includes data, but also integrations, consent, journeys, measurement, and governance. Cleaning is often a remediation outcome of the audit.<\/p>\n\n\n\n

                                      CRM Audit vs Lifecycle Marketing Audit<\/h3>\n\n\n\n

                                      A lifecycle marketing audit centers on messaging strategy, journey coverage, timing, and content performance. A CRM Audit<\/strong> includes lifecycle evaluation but adds technical validation (tracking, identity, deliverability, and reporting), which is critical for Direct & Retention Marketing<\/strong> reliability.<\/p>\n\n\n\n

                                      CRM Audit vs Marketing Operations Audit<\/h3>\n\n\n\n

                                      A marketing ops audit may cover project management, processes, tooling, and team structure across all channels. A CRM Audit<\/strong> is specifically focused on customer database integrity and the systems that power CRM Marketing<\/strong> execution and measurement.<\/p>\n\n\n\n

                                      Who Should Learn CRM Audit<\/h2>\n\n\n\n

                                      A CRM Audit<\/strong> skill set is valuable across roles:<\/p>\n\n\n\n

                                        \n
                                      • Marketers:<\/strong> design better segments, reduce fatigue, and improve retention outcomes in Direct & Retention Marketing<\/strong>.<\/li>\n
                                      • Analysts:<\/strong> ensure KPI definitions are correct and results are attributable and reproducible.<\/li>\n
                                      • Agencies and consultants:<\/strong> quickly diagnose why a client\u2019s CRM Marketing<\/strong> performance doesn\u2019t match effort.<\/li>\n
                                      • Business owners and founders:<\/strong> understand where lifecycle revenue is leaking and what to prioritize.<\/li>\n
                                      • Developers and data engineers:<\/strong> implement robust events, schemas, identity logic, and monitoring to support scalable personalization.<\/li>\n<\/ul>\n\n\n\n

                                        Summary of CRM Audit<\/h2>\n\n\n\n

                                        A CRM Audit<\/strong> is a structured evaluation of the data, integrations, governance, automation, and measurement that power customer communications. It matters because Direct & Retention Marketing<\/strong> depends on accurate targeting, trustworthy consent handling, and reliable reporting. By identifying gaps and prioritizing fixes, a CRM Audit strengthens CRM Marketing<\/strong> performance, reduces waste, improves customer experience, and builds a foundation for sustainable retention growth.<\/p>\n\n\n\n

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

                                        1) What is a CRM Audit and how often should it be done?<\/h3>\n\n\n\n

                                        A CRM Audit<\/strong> reviews your customer data, lifecycle campaigns, consent handling, and reporting for accuracy and effectiveness. Many teams do a light audit quarterly and a deeper audit annually, plus additional audits after major site\/app or tracking changes.<\/p>\n\n\n\n

                                        2) What should be included in a CRM Audit checklist?<\/h3>\n\n\n\n

                                        At minimum: data model and identity rules, event tracking validation, segmentation and suppression logic, journey\/automation QA, consent and preference handling, deliverability indicators, and KPI\/reporting definitions tied to business outcomes.<\/p>\n\n\n\n

                                        3) How does CRM Audit improve CRM Marketing results?<\/h3>\n\n\n\n

                                        It removes hidden blockers\u2014like broken triggers, mis-segmented audiences, or unreliable measurement\u2014so CRM Marketing<\/strong> campaigns target correctly, automate reliably, and report impact consistently.<\/p>\n\n\n\n

                                        4) Is CRM Audit only for email marketing?<\/h3>\n\n\n\n

                                        No. While email is common, a CRM Audit<\/strong> is relevant to any Direct & Retention Marketing<\/strong> channel connected to customer data\u2014such as SMS, push notifications, in-app messaging, and direct mail triggers\u2014because the same identity, consent, and measurement issues apply.<\/p>\n\n\n\n

                                        5) Who should own CRM Audit: marketing, data, or engineering?<\/h3>\n\n\n\n

                                        Ownership is shared. Marketing typically owns lifecycle intent and KPI needs, while data\/engineering owns instrumentation and pipelines. The best audits have a clear lead (often CRM ops) and defined responsibilities for fixes.<\/p>\n\n\n\n

                                        6) What are the biggest warning signs that you need a CRM Audit?<\/h3>\n\n\n\n

                                        Common signals include sudden drops in lifecycle revenue, inconsistent dashboard numbers, rising unsubscribes or complaints, segments that \u201cdon\u2019t make sense,\u201d broken personalization, or frequent manual exports to \u201cpatch\u201d targeting.<\/p>\n\n\n\n

                                        7) How do you measure success after a CRM Audit?<\/h3>\n\n\n\n

                                        Look for fewer data\/automation incidents, improved event match rates, more stable deliverability metrics, faster campaign launches, and better retention or repeat purchase outcomes attributable to cleaner segmentation and more reliable journeys.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                        A **CRM Audit** is a structured evaluation of how your customer relationship management data, processes, and campaigns perform across the full lifecycle\u2014from acquisition to retention and win-back. In **Direct & Retention Marketing**, where success depends on timely, relevant, measurable communications, a CRM Audit helps you identify what\u2019s working, what\u2019s broken, and what\u2019s quietly draining budget or damaging customer experience.<\/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":[1893],"tags":[],"class_list":["post-7788","post","type-post","status-publish","format-standard","hentry","category-crm-marketing"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/7788","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=7788"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/7788\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=7788"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=7788"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=7788"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}