{"id":8785,"date":"2026-03-26T18:46:08","date_gmt":"2026-03-26T18:46:08","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/community-benchmark\/"},"modified":"2026-03-26T18:46:08","modified_gmt":"2026-03-26T18:46:08","slug":"community-benchmark","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/community-benchmark\/","title":{"rendered":"Community Benchmark: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Community Marketing"},"content":{"rendered":"\n

A Community Benchmark<\/strong> is a structured reference point for understanding how well your community performs today\u2014and what \u201cgood\u201d looks like for your goals\u2014using consistent metrics over time. In Organic Marketing<\/strong>, where growth depends on trust, relevance, and compounding audience value, a Community Benchmark helps you move from opinions (\u201cthe community feels quieter lately\u201d) to evidence (\u201cactive member rate fell 12% month over month, driven by onboarding drop-off\u201d).<\/p>\n\n\n\n

In Community Marketing<\/strong>, benchmarks are especially important because community outcomes are often indirect: retention, advocacy, product feedback, and brand affinity rarely show up as immediate revenue. A well-designed Community Benchmark<\/strong> gives teams a shared scorecard that connects community health to business impact, making it easier to prioritize programs, justify resourcing, and improve member experience without resorting to paid acquisition as the default fix.<\/p>\n\n\n\n

What Is Community Benchmark?<\/h2>\n\n\n\n

A Community Benchmark<\/strong> is a set of baseline measurements and comparison standards used to evaluate the performance, health, and impact of a brand or product community. It typically includes:<\/p>\n\n\n\n

    \n
  • Internal baselines<\/strong> (your historical performance, by month\/quarter)<\/li>\n
  • Segment baselines<\/strong> (new members vs. returning members, cohorts by join date, customer tiers)<\/li>\n
  • External comparisons<\/strong> when possible (peer communities, industry norms, or public signals)<\/li>\n<\/ul>\n\n\n\n

    The core concept is simple: define the few community outcomes that matter most, measure them consistently, and compare results against a stable reference so you can identify improvement opportunities and detect early warning signs.<\/p>\n\n\n\n

    From a business perspective, a Community Benchmark turns community from a \u201cnice-to-have\u201d into an operational channel within Organic Marketing<\/strong>. It clarifies how community activity supports acquisition (word of mouth), activation (onboarding support), retention (belonging and education), and expansion (upsell via value realization). Inside Community Marketing<\/strong>, it acts as the measurement backbone for programming, moderation, content, events, and member journeys.<\/p>\n\n\n\n

    Why Community Benchmark Matters in Organic Marketing<\/h2>\n\n\n\n

    In Organic Marketing<\/strong>, results accrue over time. Community can be one of the highest-leverage organic assets, but only if it is managed with the same discipline as SEO, lifecycle messaging, or content strategy. A Community Benchmark<\/strong> matters because it:<\/p>\n\n\n\n

      \n
    • Creates strategic focus:<\/strong> You can\u2019t optimize what you don\u2019t define. Benchmarks help teams agree on what \u201chealthy community\u201d means.<\/li>\n
    • Improves decision-making:<\/strong> When engagement drops, benchmarks help diagnose whether it\u2019s seasonal, cohort-specific, or tied to product changes.<\/li>\n
    • Proves business value:<\/strong> Benchmarked metrics allow you to show relationships between community participation and retention, support deflection, or referral volume.<\/li>\n
    • Builds competitive advantage:<\/strong> A community that consistently improves becomes a moat\u2014members contribute knowledge, feedback loops accelerate, and trust compounds.<\/li>\n<\/ul>\n\n\n\n

      For leadership, the value is clarity: a Community Benchmark converts community work from activity-based reporting (\u201cwe ran three events\u201d) to outcome-based reporting (\u201cevents increased returning contributor rate and reduced time-to-first-answer\u201d).<\/p>\n\n\n\n

      How Community Benchmark Works<\/h2>\n\n\n\n

      A Community Benchmark<\/strong> is both conceptual and practical. In real operations, it works as a cycle:<\/p>\n\n\n\n

        \n
      1. \n

        Input (what you measure and why)<\/strong>\n – Define community goals aligned with Organic Marketing<\/strong> outcomes (e.g., awareness, retention, advocacy).\n – Decide which member actions represent value (posting, answering, attending, sharing, referrals, UGC).<\/p>\n<\/li>\n

      2. \n

        Analysis (how you interpret performance)<\/strong>\n – Establish baselines from historical data (last 90 days, last 12 months).\n – Segment by cohorts, channels, and member types to avoid misleading averages.\n – Add context: seasonality, product releases, moderation changes, event cadence.<\/p>\n<\/li>\n

      3. \n

        Execution (how you apply insights)<\/strong>\n – Adjust onboarding flows, content prompts, community calendar, governance, and moderation playbooks.\n – Run experiments: new member welcome series, office hours, topic hubs, ambassador programs.<\/p>\n<\/li>\n

      4. \n

        Output (what you produce)<\/strong>\n – A living scorecard or dashboard with target ranges, trends, and narrative insights.\n – A prioritized action plan tied to measurable improvements in Community Marketing<\/strong> health metrics.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

        The most effective benchmarks are stable enough to compare month to month, but flexible enough to evolve as the community matures.<\/p>\n\n\n\n

        Key Components of Community Benchmark<\/h2>\n\n\n\n

        A durable Community Benchmark<\/strong> typically includes these elements:<\/p>\n\n\n\n

        1) Clear objectives and definitions<\/h3>\n\n\n\n

        Community metrics are notoriously easy to misinterpret. Define terms precisely:\n– What counts as an \u201cactive member\u201d?\n– What is a \u201ccontribution\u201d (post, comment, answer, reaction)?\n– What qualifies as \u201cresolved\u201d or \u201chelpful\u201d?<\/p>\n\n\n\n

        2) Data inputs and tracking<\/h3>\n\n\n\n

        Common data sources for Community Marketing<\/strong> benchmarking include:\n– Community platform event logs (posts, replies, reactions, logins)\n– Event attendance systems (registrations, attendance, retention)\n– CRM or customer data (plan type, renewal dates, account health)\n– Support systems (tickets, deflection indicators, time-to-resolution)\n– Web analytics and attribution (community landing pages, organic search entries)<\/p>\n\n\n\n

        3) Processes and governance<\/h3>\n\n\n\n

        Benchmarks need ownership:\n– A community lead to set definitions and targets\n– Analysts or ops to validate data quality\n– Moderators to implement changes informed by benchmarks\n– Marketing\/product stakeholders to align community and business goals<\/p>\n\n\n\n

        4) Reporting and accountability<\/h3>\n\n\n\n

        A Community Benchmark should live in a repeatable reporting rhythm:\n– Weekly health checks for leading indicators (new member activation)\n– Monthly deep dives for trends and cohort shifts\n– Quarterly reviews to reset targets and roadmap priorities<\/p>\n\n\n\n

        Types of Community Benchmark<\/h2>\n\n\n\n

        While \u201cCommunity Benchmark\u201d doesn\u2019t have one universal taxonomy, the most useful distinctions are based on what you compare against and what you optimize for:<\/p>\n\n\n\n

        Internal vs. external benchmarks<\/h3>\n\n\n\n
          \n
        • Internal Community Benchmark:<\/strong> compares against your own historical performance and targets. This is the most reliable because definitions and tracking are consistent.<\/li>\n
        • External Community Benchmark:<\/strong> compares to peers or industry standards. Useful for directional context, but often limited by different platforms, audience types, and definitions.<\/li>\n<\/ul>\n\n\n\n

          Health vs. impact benchmarks<\/h3>\n\n\n\n
            \n
          • Health benchmarks:<\/strong> measure the community\u2019s ability to sustain participation (activation, returning users, response times).<\/li>\n
          • Impact benchmarks:<\/strong> connect community participation to business outcomes (retention lift, referrals, support deflection).<\/li>\n<\/ul>\n\n\n\n

            Lifecycle benchmarks<\/h3>\n\n\n\n
              \n
            • New member benchmarks:<\/strong> onboarding completion, time-to-first-contribution.<\/li>\n
            • Mature member benchmarks:<\/strong> contributor retention, leadership behaviors, mentorship.<\/li>\n<\/ul>\n\n\n\n

              These perspectives help Organic Marketing<\/strong> teams avoid optimizing only for volume while ignoring quality.<\/p>\n\n\n\n

              Real-World Examples of Community Benchmark<\/h2>\n\n\n\n

              Example 1: SaaS support community reducing ticket volume<\/h3>\n\n\n\n

              A SaaS company builds a Community Benchmark around \u201ctime-to-first-answer,\u201d \u201caccepted solution rate,\u201d and \u201creturning contributor rate.\u201d After benchmarking a quarter of data, they find that when time-to-first-answer is under 2 hours, ticket volume for the same issue category drops the following week. They invest in expert rotations and a \u201ctriage\u201d process. The benchmark becomes the operating metric for Community Marketing<\/strong> and support alignment\u2014improving customer experience while protecting Organic Marketing<\/strong> efficiency by reducing churn risk.<\/p>\n\n\n\n

              Example 2: Creator brand community improving organic reach<\/h3>\n\n\n\n

              A creator-led brand benchmarks \u201cUGC posts per 1,000 members,\u201d \u201cshare rate of community content,\u201d and \u201cevent attendance rate.\u201d They notice organic reach rises when UGC hits a consistent threshold. They introduce monthly prompts and spotlight features, then track the benchmark month over month. This ties Community Benchmark directly to Organic Marketing<\/strong> distribution\u2014community becomes a predictable source of content and amplification.<\/p>\n\n\n\n

              Example 3: B2B community supporting product adoption<\/h3>\n\n\n\n

              A B2B company benchmarks \u201cfeature adoption among community participants vs. non-participants\u201d and \u201ctime-to-value (TTV) proxy metrics\u201d such as completion of key onboarding steps. They find community participants adopt advanced features sooner. Community Marketing<\/strong> programs shift toward structured onboarding cohorts and office hours. The benchmark helps product and marketing agree on what to scale.<\/p>\n\n\n\n

              Benefits of Using Community Benchmark<\/h2>\n\n\n\n

              A well-run Community Benchmark<\/strong> delivers practical gains:<\/p>\n\n\n\n

                \n
              • Performance improvements:<\/strong> higher activation, more returning contributors, faster responses, and better content discoverability.<\/li>\n
              • Cost savings:<\/strong> reduced support load, more peer-to-peer help, fewer paid campaigns needed to compensate for weak retention.<\/li>\n
              • Operational efficiency:<\/strong> clearer priorities for moderators and community managers; less reactive programming.<\/li>\n
              • Better member experience:<\/strong> consistent engagement loops, improved onboarding, and higher-quality conversations.<\/li>\n
              • Stronger Organic Marketing outcomes:<\/strong> community content can rank in search, community advocates amplify launches, and engaged members create word of mouth.<\/li>\n<\/ul>\n\n\n\n

                Challenges of Community Benchmark<\/h2>\n\n\n\n

                Benchmarks are powerful, but there are common pitfalls:<\/p>\n\n\n\n

                  \n
                • Metric ambiguity:<\/strong> \u201cengagement\u201d can mean reactions, comments, attendance, or logins. Without definitions, benchmarks mislead.<\/li>\n
                • Vanity metric traps:<\/strong> member counts can grow while participation and value decline.<\/li>\n
                • Attribution limitations:<\/strong> community influence on retention or pipeline is real but often multi-touch and delayed.<\/li>\n
                • Data fragmentation:<\/strong> community platform data, CRM, and support tools may not connect cleanly.<\/li>\n
                • Behavioral distortions:<\/strong> optimizing for a metric can create spammy posting or shallow interactions if incentives aren\u2019t thoughtful.<\/li>\n
                • Small-sample volatility:<\/strong> early-stage communities can swing widely month to month; benchmarks need wider time windows and qualitative context.<\/li>\n<\/ul>\n\n\n\n

                  In Organic Marketing<\/strong>, these challenges matter because mismeasurement leads to overcorrecting\u2014often pushing teams toward paid solutions instead of fixing community fundamentals.<\/p>\n\n\n\n

                  Best Practices for Community Benchmark<\/h2>\n\n\n\n

                  Establish a \u201cnorth star\u201d plus supporting metrics<\/h3>\n\n\n\n

                  Pick one primary indicator of community value (e.g., \u201cweekly active contributors\u201d or \u201cquestions resolved within 24 hours\u201d), then add 5\u20138 supporting metrics that explain why<\/em> it moves.<\/p>\n\n\n\n

                  Benchmark cohorts, not just averages<\/h3>\n\n\n\n

                  Track new members by join month and compare them to prior cohorts. Cohort benchmarks reveal onboarding quality and help Community Marketing<\/strong> isolate what changed.<\/p>\n\n\n\n

                  Combine quantitative and qualitative signals<\/h3>\n\n\n\n

                  Numbers show what<\/em> happened; qualitative insights explain why<\/em>. Use:\n– Periodic member surveys\n– Moderator notes and theme analysis\n– Content audits of top threads<\/p>\n\n\n\n

                  Set targets as ranges, not single points<\/h3>\n\n\n\n

                  Community dynamics vary. Define \u201chealthy ranges\u201d (e.g., response time under X hours; returning contributors above Y%) and revisit quarterly.<\/p>\n\n\n\n

                  Create a closed-loop improvement cadence<\/h3>\n\n\n\n
                    \n
                  • Benchmark \u2192 diagnose \u2192 run one or two focused experiments \u2192 re-benchmark\nThis keeps improvements manageable and avoids constant retooling.<\/li>\n<\/ul>\n\n\n\n

                    Document metric definitions and measurement rules<\/h3>\n\n\n\n

                    Treat the Community Benchmark like a product spec. Document:\n– Inclusion\/exclusion rules (bots, staff accounts)\n– Time windows (weekly vs. monthly)\n– Handling of deleted posts or merged threads<\/p>\n\n\n\n

                    Tools Used for Community Benchmark<\/h2>\n\n\n\n

                    A Community Benchmark<\/strong> isn\u2019t tied to one tool; it\u2019s a system across data collection, analysis, and reporting. Common tool categories include:<\/p>\n\n\n\n

                      \n
                    • Analytics tools:<\/strong> event tracking, funnel analysis, cohort reporting for member journeys.<\/li>\n
                    • Reporting dashboards:<\/strong> centralized scorecards, trend lines, and segmented views for stakeholders.<\/li>\n
                    • CRM systems:<\/strong> account segmentation (customers vs. prospects), lifecycle stages, renewal timing.<\/li>\n
                    • Support platforms:<\/strong> ticket tagging, resolution times, and indicators for deflection analysis.<\/li>\n
                    • SEO tools:<\/strong> discovery of community threads that attract organic search traffic and opportunities to improve content structure.<\/li>\n
                    • Automation tools:<\/strong> onboarding sequences, event reminders, role-based messages, and nudges to activate members.<\/li>\n<\/ul>\n\n\n\n

                      In Organic Marketing<\/strong> and Community Marketing<\/strong>, the goal is consistency: use tools that make metric definitions stable and reporting repeatable.<\/p>\n\n\n\n

                      Metrics Related to Community Benchmark<\/h2>\n\n\n\n

                      The best Community Benchmark<\/strong> metrics depend on your community purpose, but these are widely useful:<\/p>\n\n\n\n

                      Engagement and participation<\/h3>\n\n\n\n
                        \n
                      • Active members (weekly\/monthly), with a clear definition<\/li>\n
                      • New member activation rate (first meaningful action within X days)<\/li>\n
                      • Returning contributor rate<\/li>\n
                      • Posts\/replies per active member (to normalize for size)<\/li>\n<\/ul>\n\n\n\n

                        Responsiveness and support quality<\/h3>\n\n\n\n
                          \n
                        • Time-to-first-response<\/li>\n
                        • Time-to-resolution<\/li>\n
                        • Accepted solution rate (or \u201chelpful answer\u201d rate)<\/li>\n
                        • Unanswered question rate<\/li>\n<\/ul>\n\n\n\n

                          Content and discovery (Organic Marketing alignment)<\/h3>\n\n\n\n
                            \n
                          • Organic entries to community pages<\/li>\n
                          • Top query themes driving search traffic<\/li>\n
                          • Thread refresh rate (updating outdated answers)<\/li>\n
                          • Internal search success rate (members finding answers)<\/li>\n<\/ul>\n\n\n\n

                            Business impact<\/h3>\n\n\n\n
                              \n
                            • Retention or renewal rate among engaged members vs. non-engaged<\/li>\n
                            • Referral volume attributed to community advocacy programs (where measurable)<\/li>\n
                            • Support ticket reduction in categories covered by community content<\/li>\n
                            • Product feedback volume and resolution throughput<\/li>\n<\/ul>\n\n\n\n

                              Experience and brand health<\/h3>\n\n\n\n
                                \n
                              • Member satisfaction (CSAT-style pulse surveys)<\/li>\n
                              • Net sentiment trends in discussions<\/li>\n
                              • Moderator intervention rate (as a proxy for friction or policy clarity)<\/li>\n<\/ul>\n\n\n\n

                                Future Trends of Community Benchmark<\/h2>\n\n\n\n

                                Community measurement is evolving quickly, and Community Benchmark<\/strong> practices will change with it:<\/p>\n\n\n\n

                                  \n
                                • AI-assisted analysis:<\/strong> summarizing themes, detecting emerging issues, and forecasting churn risk based on participation patterns.<\/li>\n
                                • Automation in moderation and routing:<\/strong> faster triage, smarter tagging, and better matching of questions to experts\u2014improving benchmarked response metrics.<\/li>\n
                                • Personalization:<\/strong> tailoring onboarding and content recommendations by member intent, which will make benchmarks more cohort-specific.<\/li>\n
                                • Privacy and measurement shifts:<\/strong> reduced tracking granularity in some ecosystems means benchmarks will lean more on first-party data, consented analytics, and aggregated trends.<\/li>\n
                                • Outcome-based Community Marketing:<\/strong> increased pressure to show impact on retention, expansion, and advocacy\u2014leading to tighter integration between community metrics and CRM\/customer success data.<\/li>\n<\/ul>\n\n\n\n

                                  In Organic Marketing<\/strong>, the communities that win will be the ones that treat benchmarks as a continuous improvement system, not a quarterly reporting exercise.<\/p>\n\n\n\n

                                  Community Benchmark vs Related Terms<\/h2>\n\n\n\n

                                  Community Benchmark vs KPIs<\/h3>\n\n\n\n

                                  KPIs are the metrics you choose to manage performance. A Community Benchmark<\/strong> provides the reference standard<\/em> for those KPIs\u2014your baseline, targets, and comparison context.<\/p>\n\n\n\n

                                  Community Benchmark vs Community Health Score<\/h3>\n\n\n\n

                                  A community health score is often a single composite index. A Community Benchmark can include a health score, but also includes the underlying metrics, definitions, segments, and historical comparisons needed to interpret it.<\/p>\n\n\n\n

                                  Community Benchmark vs Competitive Benchmarking<\/h3>\n\n\n\n

                                  Competitive benchmarking compares your performance to competitors. A Community Benchmark is broader: it can be internal, cohort-based, or outcome-based, and it doesn\u2019t require competitor data to be valuable.<\/p>\n\n\n\n

                                  Who Should Learn Community Benchmark<\/h2>\n\n\n\n
                                    \n
                                  • Marketers:<\/strong> to connect Community Marketing<\/strong> performance to Organic Marketing<\/strong> outcomes like reach, trust, and retention.<\/li>\n
                                  • Analysts:<\/strong> to build reliable measurement frameworks, dashboards, and experiments that withstand stakeholder scrutiny.<\/li>\n
                                  • Agencies and consultants:<\/strong> to audit community programs, set baselines, and create improvement roadmaps.<\/li>\n
                                  • Business owners and founders:<\/strong> to understand whether the community is a strategic asset or an unmanaged cost center.<\/li>\n
                                  • Developers and community platform teams:<\/strong> to implement tracking, integrations, and data models that make benchmarking accurate and scalable.<\/li>\n<\/ul>\n\n\n\n

                                    Summary of Community Benchmark<\/h2>\n\n\n\n

                                    A Community Benchmark<\/strong> is a practical measurement framework that defines what success looks like in a community, compares performance against baselines, and guides improvement over time. It matters because Organic Marketing<\/strong> depends on compounding trust and participation, and Community Marketing<\/strong> needs clear evidence of health and impact to scale sustainably. With consistent definitions, segmented reporting, and a closed-loop optimization cadence, Community Benchmark turns community activity into measurable, improvable outcomes.<\/p>\n\n\n\n

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

                                    1) What is a Community Benchmark in simple terms?<\/h3>\n\n\n\n

                                    A Community Benchmark<\/strong> is a set of baseline metrics and targets that tells you how your community is performing now compared to the past (and sometimes compared to peers), so you can improve it systematically.<\/p>\n\n\n\n

                                    2) How often should I update my Community Benchmark?<\/h3>\n\n\n\n

                                    Track leading indicators weekly, review trends monthly, and recalibrate targets quarterly. In fast-changing communities, monthly reviews are especially useful to keep Community Marketing<\/strong> programs aligned with member behavior.<\/p>\n\n\n\n

                                    3) Which metrics are most important for Community Benchmark?<\/h3>\n\n\n\n

                                    Start with activation (new member meaningful action), returning contributors, and responsiveness (time-to-first-response). Then add business-impact metrics like retention lift or support ticket reduction if you can measure them reliably.<\/p>\n\n\n\n

                                    4) How does Community Benchmark support Organic Marketing?<\/h3>\n\n\n\n

                                    It helps you prove and improve the organic flywheel: community-generated content can drive search visibility, members can amplify launches, and better support outcomes can reduce churn\u2014key goals in Organic Marketing<\/strong>.<\/p>\n\n\n\n

                                    5) What\u2019s the difference between Community Marketing metrics and business metrics?<\/h3>\n\n\n\n

                                    Community Marketing<\/strong> metrics measure community behavior (engagement, responses, contributions). Business metrics measure outcomes (retention, renewals, referrals). A Community Benchmark connects the two by tracking both consistently and comparing trends.<\/p>\n\n\n\n

                                    6) Can small communities use Community Benchmark effectively?<\/h3>\n\n\n\n

                                    Yes. Small communities should focus on a few stable metrics, use longer time windows to smooth volatility, and add qualitative insights (member interviews, moderator notes) to interpret changes accurately.<\/p>\n\n\n\n

                                    7) What\u2019s a common mistake when setting a Community Benchmark?<\/h3>\n\n\n\n

                                    Relying on member count or raw activity without normalization. A better benchmark focuses on rates (per active member), cohorts, and quality indicators so growth doesn\u2019t hide declining value.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                    A **Community Benchmark** is a structured reference point for understanding how well your community performs today\u2014and what \u201cgood\u201d looks like for your goals\u2014using consistent metrics over time. In **Organic Marketing**, where growth depends on trust, relevance, and compounding audience value, a Community Benchmark helps you move from opinions (\u201cthe community feels quieter lately\u201d) to evidence (\u201cactive member rate fell 12% month over month, driven by onboarding drop-off\u201d).<\/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":[1901],"tags":[],"class_list":["post-8785","post","type-post","status-publish","format-standard","hentry","category-community-marketing"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/8785","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=8785"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/8785\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=8785"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=8785"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=8785"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}