{"id":8796,"date":"2026-03-26T19:09:15","date_gmt":"2026-03-26T19:09:15","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/community-incrementality\/"},"modified":"2026-03-26T19:09:15","modified_gmt":"2026-03-26T19:09:15","slug":"community-incrementality","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/community-incrementality\/","title":{"rendered":"Community Incrementality: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Community Marketing"},"content":{"rendered":"\n

Community-building has become a core lever in Organic Marketing<\/strong>\u2014but proving its business impact is still hard. Community Incrementality<\/strong> is the discipline of measuring the additional, net-new<\/em> outcomes generated by community efforts that would not have happened otherwise. In other words, it answers the question: \u201cWhat did the community truly add beyond what our brand, product, SEO, email, and other channels would have achieved anyway?\u201d<\/p>\n\n\n\n

This matters because Community Marketing<\/strong> often influences outcomes indirectly: it shapes trust, reduces churn, accelerates word-of-mouth, improves product adoption, and boosts conversion rates across other channels. Without a solid incrementality mindset, teams risk over-crediting community for growth that would have occurred regardless\u2014or under-crediting community because the value is distributed across touchpoints. Community Incrementality<\/strong> brings rigor to attribution, prioritization, and investment decisions in modern Organic Marketing<\/strong>.<\/p>\n\n\n\n

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

Community Incrementality<\/strong> is the measurement and analysis of the incremental lift<\/em> caused by community activities\u2014such as peer support, events, ambassador programs, member content, and discussions\u2014compared to a credible baseline scenario where those community inputs are absent or reduced.<\/p>\n\n\n\n

At its core, the concept separates:\n– Correlation<\/strong> (community members buy more) from\n– Causation<\/strong> (community participation causes<\/em> additional purchases, retention, referrals, or engagement)<\/p>\n\n\n\n

The business meaning is straightforward: Community Incrementality helps you determine whether community is a growth engine or simply a place where your best customers gather. It quantifies how Community Marketing<\/strong> contributes to pipeline, revenue, retention, product usage, and brand demand in a way that aligns with how Organic Marketing<\/strong> leadership evaluates performance.<\/p>\n\n\n\n

Within Organic Marketing<\/strong>, Community Incrementality sits alongside SEO measurement, lifecycle analytics, and content performance\u2014providing proof that community is not just \u201cengagement,\u201d but a driver of measurable business outcomes.<\/p>\n\n\n\n

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

Community work is often long-term and relationship-driven, which is exactly why it can be misunderstood in performance-oriented environments. Community Incrementality<\/strong> matters because it creates strategic clarity and protects community investment.<\/p>\n\n\n\n

Key reasons it\u2019s strategically important:\n– Budget justification:<\/strong> Proves which community programs generate lift and deserve scaling.\n– Channel alignment:<\/strong> Shows how community amplifies other Organic Marketing<\/strong> channels (SEO, email, social, product-led growth) rather than competing with them.\n– Prioritization:<\/strong> Distinguishes high-impact community initiatives (e.g., onboarding cohorts, peer support) from low-impact activities (e.g., vanity engagement).\n– Competitive advantage:<\/strong> A well-measured community becomes a defensible moat\u2014your members create knowledge, social proof, and support capacity that competitors can\u2019t easily replicate.<\/p>\n\n\n\n

Marketing outcomes it helps improve include conversion rate, retention, activation, referral volume, and brand search demand. When Community Marketing<\/strong> is measured incrementally, it\u2019s easier to integrate community into the broader Organic Marketing<\/strong> strategy instead of treating it as a separate \u201cfeel-good\u201d function.<\/p>\n\n\n\n

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

While incrementality can involve sophisticated experimentation, the practical workflow in Community Marketing<\/strong> usually follows a repeatable logic:<\/p>\n\n\n\n

1) Input \/ Trigger: Define the community intervention<\/h3>\n\n\n\n

Start with a clearly defined \u201ctreatment,\u201d such as:\n– joining the community\n– attending a community event\n– completing a cohort-based onboarding program\n– receiving peer answers in a support forum\n– engaging in a challenge, mentorship, or ambassador initiative<\/p>\n\n\n\n

The more precise the intervention, the easier it is to estimate Community Incrementality<\/strong>.<\/p>\n\n\n\n

2) Analysis: Establish a baseline and comparison<\/h3>\n\n\n\n

You need a credible counterfactual: what would have happened without the community touch. Common approaches include:\n– Holdout groups:<\/strong> Keep a portion of eligible users uninvited (or invited later) and compare outcomes.\n– Matched comparisons:<\/strong> Compare participants to similar non-participants (by cohort, intent, company size, usage stage, acquisition channel).\n– Pre\/post analysis with controls:<\/strong> Compare behavior before and after participation, while controlling for seasonality and lifecycle stage.<\/p>\n\n\n\n

This step is where Organic Marketing<\/strong> measurement discipline matters\u2014especially around cohorts, segmentation, and time windows.<\/p>\n\n\n\n

3) Execution: Track exposure and outcomes<\/h3>\n\n\n\n

Operationalize tracking:\n– log community exposures (joined, attended, posted, received an answer)\n– map community identity to product or CRM identity (when privacy and consent allow)\n– define success outcomes (activation, expansion, renewal, referral)<\/p>\n\n\n\n

4) Output \/ Outcome: Quantify incremental lift and apply decisions<\/h3>\n\n\n\n

Compute lift (and confidence where possible):\n– incremental conversion\/retention rate\n– incremental revenue or pipeline\n– incremental support deflection (tickets avoided)\n– incremental content reach or brand demand<\/p>\n\n\n\n

Then translate results into decisions: scale, refine, or stop programs; update playbooks; adjust resourcing across Community Marketing<\/strong> and the broader Organic Marketing<\/strong> mix.<\/p>\n\n\n\n

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

Strong Community Incrementality<\/strong> requires more than a single report. It\u2019s a system.<\/p>\n\n\n\n

Data inputs<\/h3>\n\n\n\n
    \n
  • Community platform activity (membership, posts, comments, reactions, event attendance)<\/li>\n
  • Product usage and lifecycle stage (activation milestones, feature adoption)<\/li>\n
  • CRM and revenue data (lead stage, pipeline, renewals, expansions)<\/li>\n
  • Acquisition data (SEO, content, social, referrals) to control for channel mix<\/li>\n
  • Support data (ticket volume, time-to-resolution, self-serve behavior)<\/li>\n<\/ul>\n\n\n\n

    Processes<\/h3>\n\n\n\n
      \n
    • Consistent cohort definitions (by signup month, plan type, or acquisition channel)<\/li>\n
    • Program tagging (which initiative triggered exposure)<\/li>\n
    • Experiment or quasi-experiment design standards<\/li>\n
    • Documentation for assumptions and limitations<\/li>\n<\/ul>\n\n\n\n

      Metrics and reporting<\/h3>\n\n\n\n
        \n
      • Lift reporting by cohort and segment<\/li>\n
      • Leading indicators (engagement, time-to-first-value)<\/li>\n
      • Lagging indicators (revenue, retention)<\/li>\n<\/ul>\n\n\n\n

        Governance and responsibilities<\/h3>\n\n\n\n
          \n
        • Community team defines interventions and member journeys<\/li>\n
        • Marketing ops \/ analytics ensures identity resolution, tracking, and dashboards<\/li>\n
        • Product and customer success align on adoption and retention metrics<\/li>\n
        • Leadership agrees on what \u201cincremental\u201d means (time window, success criteria)<\/li>\n<\/ul>\n\n\n\n

          In mature Community Marketing<\/strong>, Community Incrementality becomes a shared language across teams, similar to how SEO teams talk about incremental organic traffic in Organic Marketing<\/strong>.<\/p>\n\n\n\n

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

          Community doesn\u2019t create value in only one way. While there aren\u2019t universally \u201cformal\u201d types, the most practical distinctions are based on where the lift shows up<\/em>:<\/p>\n\n\n\n

          Acquisition incrementality<\/h3>\n\n\n\n

          Measures net-new leads, trials, or customers driven by community-driven word-of-mouth, ambassadors, and shareable member content.<\/p>\n\n\n\n

          Activation and adoption incrementality<\/h3>\n\n\n\n

          Measures whether community participation increases onboarding completion, time-to-value, or feature adoption\u2014often the clearest early signal in Organic Marketing<\/strong> for product-led businesses.<\/p>\n\n\n\n

          Retention and expansion incrementality<\/h3>\n\n\n\n

          Measures churn reduction, renewal lift, upsell, and cross-sell influenced by peer support, best-practice sharing, and community-led education.<\/p>\n\n\n\n

          Support and efficiency incrementality<\/h3>\n\n\n\n

          Measures ticket deflection, reduced handling time, or improved customer satisfaction due to peer answers and community knowledge bases\u2014highly relevant when Community Marketing<\/strong> overlaps with customer support.<\/p>\n\n\n\n

          Brand and demand incrementality<\/h3>\n\n\n\n

          Measures changes in brand search, direct traffic, and share of voice influenced by community advocacy, events, and member-generated content.<\/p>\n\n\n\n

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

          Example 1: B2B SaaS onboarding cohort (activation lift)<\/h3>\n\n\n\n

          A SaaS company runs a 4-week community onboarding cohort for new customers. To estimate Community Incrementality<\/strong>, they invite only half of eligible new customers in a given month (holdout design). They measure:\n– time-to-first-key-action\n– activation rate within 30 days\n– 90-day retention<\/p>\n\n\n\n

          Result: cohort participants activate at a meaningfully higher rate. The community program is credited with incremental activation lift, supporting larger investment in Community Marketing<\/strong> as part of the company\u2019s Organic Marketing<\/strong> retention strategy.<\/p>\n\n\n\n

          Example 2: Community-led SEO amplification (content and demand lift)<\/h3>\n\n\n\n

          A brand encourages members to share use cases and templates in a community library. The SEO team tracks which pages were inspired by community questions and compares performance against similar non-community-driven content. They also monitor assisted conversions from organic traffic.<\/p>\n\n\n\n

          Result: community-driven content ranks faster for long-tail queries and increases assisted conversions. The incremental value is attributed to the community\u2019s insight loop\u2014showing how Community Incrementality<\/strong> strengthens Organic Marketing<\/strong> without relying on paid distribution.<\/p>\n\n\n\n

          Example 3: Peer-to-peer support forum (ticket deflection)<\/h3>\n\n\n\n

          A company adds \u201caccepted solution\u201d workflows and expert recognition. They compare support tickets per active customer before and after the change, controlling for customer growth and product releases. They also track views on solution threads.<\/p>\n\n\n\n

          Result: tickets per customer decrease while customer satisfaction holds steady. Community is credited with incremental support deflection, lowering operational costs and reinforcing the business case for Community Marketing<\/strong>.<\/p>\n\n\n\n

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

          When measured well, Community Incrementality<\/strong> improves both performance and decision-making:<\/p>\n\n\n\n

            \n
          • Higher ROI clarity:<\/strong> You can connect community work to revenue, retention, or cost reduction with credible lift estimates.<\/li>\n
          • Smarter resource allocation:<\/strong> Focus effort on programs that create incremental outcomes, not just engagement.<\/li>\n
          • Lower acquisition costs:<\/strong> Community-driven referrals and advocacy can reduce reliance on paid channels, strengthening Organic Marketing<\/strong> efficiency.<\/li>\n
          • Better customer experience:<\/strong> Peer support and belonging improve satisfaction and speed-to-solution.<\/li>\n
          • Improved cross-team alignment:<\/strong> Marketing, product, and customer success can agree on what community is achieving and why.<\/li>\n<\/ul>\n\n\n\n

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

            Community measurement is uniquely difficult because community effects are distributed and long-term.<\/p>\n\n\n\n

            Technical challenges<\/h3>\n\n\n\n
              \n
            • Identity resolution between community profiles and CRM\/product accounts<\/li>\n
            • Instrumentation gaps (events not tracked, inconsistent tagging)<\/li>\n
            • Data latency and incomplete records (especially for offline events)<\/li>\n<\/ul>\n\n\n\n

              Strategic risks<\/h3>\n\n\n\n
                \n
              • Misinterpreting correlation as causation (power users join community and also buy more)<\/li>\n
              • Over-optimizing for measurable outcomes at the expense of trust and culture<\/li>\n
              • Treating community as a campaign channel instead of a relationship system<\/li>\n<\/ul>\n\n\n\n

                Measurement limitations<\/h3>\n\n\n\n
                  \n
                • Small sample sizes for experiments in niche communities<\/li>\n
                • Contamination (members share invitations or content with holdouts)<\/li>\n
                • Long time horizons for retention and brand lift<\/li>\n<\/ul>\n\n\n\n

                  These limitations don\u2019t make Community Incrementality<\/strong> impossible\u2014they simply require careful design and honest reporting within Organic Marketing<\/strong>.<\/p>\n\n\n\n

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

                  To make incrementality a practical habit in Community Marketing<\/strong>, prioritize these approaches:<\/p>\n\n\n\n

                    \n
                  • Define the intervention precisely:<\/strong> \u201cAttended event X\u201d is measurable; \u201cengaged with community\u201d is too vague.<\/li>\n
                  • Start with one primary outcome:<\/strong> Choose one goal per program (activation, retention, referrals, deflection).<\/li>\n
                  • Use cohorts and time windows:<\/strong> Measure lift by signup month or lifecycle stage; define 30\/60\/90-day windows.<\/li>\n
                  • Prefer holdouts when feasible:<\/strong> Even small holdouts can outperform complex attribution models.<\/li>\n
                  • Match participants to non-participants:<\/strong> If experiments aren\u2019t possible, use careful matching and sensitivity checks.<\/li>\n
                  • Track leading and lagging indicators:<\/strong> Engagement is a leading indicator; retention and revenue are lagging.<\/li>\n
                  • Document assumptions:<\/strong> Transparency builds trust with stakeholders across Organic Marketing<\/strong> and finance.<\/li>\n
                  • Scale what\u2019s repeatable:<\/strong> Turn proven programs into playbooks (templates, cadences, staffing models).<\/li>\n<\/ul>\n\n\n\n

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

                    Community Incrementality<\/strong> is less about a single tool and more about connecting systems:<\/p>\n\n\n\n

                      \n
                    • Analytics tools:<\/strong> Event tracking, cohort analysis, funnel reporting, experimentation analysis.<\/li>\n
                    • CRM systems:<\/strong> Lead and account stages, lifecycle tracking, revenue attribution, customer health.<\/li>\n
                    • Community platforms and moderation systems:<\/strong> Membership data, engagement logs, event RSVPs, accepted solutions.<\/li>\n
                    • Reporting dashboards:<\/strong> Blended reporting across community, product, and revenue metrics.<\/li>\n
                    • SEO tools:<\/strong> Monitor brand search trends, content opportunities sourced from community, and organic performance changes that community enables in Organic Marketing<\/strong>.<\/li>\n
                    • Automation tools:<\/strong> Member onboarding journeys, event reminders, segmentation, and lifecycle messaging\u2014useful when community programs are part of a broader Community Marketing<\/strong> operating system.<\/li>\n<\/ul>\n\n\n\n

                      Tool choice matters less than consistent definitions, clean data, and governance.<\/p>\n\n\n\n

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

                      Incrementality requires both baseline and lift metrics. Common indicators include:<\/p>\n\n\n\n

                      Performance and ROI metrics<\/h3>\n\n\n\n
                        \n
                      • Incremental conversion rate (trial-to-paid, lead-to-opportunity)<\/li>\n
                      • Incremental pipeline or revenue (per cohort or per program)<\/li>\n
                      • Incremental retention rate \/ churn reduction<\/li>\n
                      • Incremental expansion revenue (upsell\/cross-sell)<\/li>\n<\/ul>\n\n\n\n

                        Engagement and community health metrics (leading indicators)<\/h3>\n\n\n\n
                          \n
                        • Activation of new members (first post, first reply, first event attended)<\/li>\n
                        • Response time and answer acceptance rate (for support communities)<\/li>\n
                        • Contributor ratio (active contributors vs. lurkers)<\/li>\n
                        • Repeat participation rate (weekly\/monthly returning members)<\/li>\n<\/ul>\n\n\n\n

                          Efficiency and cost metrics<\/h3>\n\n\n\n
                            \n
                          • Ticket deflection rate (views-to-tickets ratio, or reduced tickets per account)<\/li>\n
                          • Cost per incremental outcome (e.g., cost per incremental activation)<\/li>\n
                          • Community program operating cost vs. incremental value<\/li>\n<\/ul>\n\n\n\n

                            Brand and demand metrics<\/h3>\n\n\n\n
                              \n
                            • Brand search lift and direct traffic lift (as supporting indicators)<\/li>\n
                            • Share of voice in relevant conversations<\/li>\n
                            • Sentiment and advocacy signals (qualitative plus structured surveys)<\/li>\n<\/ul>\n\n\n\n

                              The best Community Marketing<\/strong> teams use a small set of \u201cdecision metrics\u201d rather than reporting everything.<\/p>\n\n\n\n

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

                              Several trends are shaping how Community Incrementality<\/strong> evolves in Organic Marketing<\/strong>:<\/p>\n\n\n\n

                                \n
                              • AI-assisted analysis:<\/strong> Faster segmentation, anomaly detection, and experimentation insights\u2014while still requiring human judgment to avoid false causality.<\/li>\n
                              • Personalization:<\/strong> Tailored community journeys (onboarding, content, groups) will increase lift, making incrementality measurement even more valuable.<\/li>\n
                              • Privacy and consent:<\/strong> Stricter privacy expectations will push teams toward aggregated measurement, cohort analysis, and first-party data governance.<\/li>\n
                              • Hybrid community experiences:<\/strong> Offline events, micro-communities, and creator-led groups will require better \u201cexposure tracking\u201d across channels.<\/li>\n
                              • Closer product integration:<\/strong> Community actions increasingly happen inside products (in-app communities), improving measurement and strengthening Community Incrementality reporting.<\/li>\n<\/ul>\n\n\n\n

                                As Organic Marketing<\/strong> becomes more efficiency-focused, the ability to quantify incremental lift from Community Marketing<\/strong> will become a competitive requirement, not a nice-to-have.<\/p>\n\n\n\n

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

                                Community Incrementality vs Attribution<\/h3>\n\n\n\n

                                Attribution assigns credit across touchpoints. Community Incrementality<\/strong> asks a different question: \u201cDid community cause additional outcomes versus a baseline?\u201d You can have attribution without incrementality (crediting community for a sale that would have happened anyway).<\/p>\n\n\n\n

                                Community Incrementality vs Community Engagement<\/h3>\n\n\n\n

                                Engagement metrics (posts, comments, reactions) measure activity. Community Incrementality<\/strong> measures impact. Engagement can be a leading indicator, but it isn\u2019t proof of business lift in Organic Marketing<\/strong>.<\/p>\n\n\n\n

                                Community Incrementality vs Marketing Mix Modeling (MMM)<\/h3>\n\n\n\n

                                MMM estimates channel impact using aggregated spend and outcomes, typically for paid and broad channels. Community Incrementality<\/strong> is often more granular and program-specific, and it must handle non-spend-driven effects typical in Community Marketing<\/strong>.<\/p>\n\n\n\n

                                Who Should Learn Community Incrementality<\/h2>\n\n\n\n
                                  \n
                                • Marketers:<\/strong> To integrate community into Organic Marketing<\/strong> planning and prove it drives outcomes beyond awareness.<\/li>\n
                                • Analysts:<\/strong> To design credible baselines, cohorts, and experiments that capture community\u2019s indirect effects.<\/li>\n
                                • Agencies and consultants:<\/strong> To defend recommendations and measure community programs with rigor, not anecdotes.<\/li>\n
                                • Business owners and founders:<\/strong> To decide when to invest in community, how to staff it, and what results to expect.<\/li>\n
                                • Developers and technical teams:<\/strong> To implement tracking, identity mapping, and data pipelines that make Community Incrementality<\/strong> measurable and trustworthy.<\/li>\n<\/ul>\n\n\n\n

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

                                  Community Incrementality<\/strong> is the practice of measuring the net-new value created by community efforts\u2014what community adds beyond what would have happened without it. It matters because Community Marketing<\/strong> often influences outcomes across the funnel in ways that standard attribution can miss or mis-credit. Within Organic Marketing<\/strong>, incrementality provides the proof needed to prioritize programs, scale what works, and align community with revenue, retention, adoption, and efficiency goals.<\/p>\n\n\n\n

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

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

                                  Community Incrementality is the extra lift your community creates\u2014additional conversions, retention, referrals, or cost savings that would not have happened without community participation.<\/p>\n\n\n\n

                                  2) How do you measure Community Incrementality without running experiments?<\/h3>\n\n\n\n

                                  Use matched comparisons (participants vs. similar non-participants), cohort-based pre\/post analysis with controls, and sensitivity checks. Be explicit about limitations and avoid claiming perfect causality.<\/p>\n\n\n\n

                                  3) Which outcomes are best for proving incrementality in Organic Marketing?<\/h3>\n\n\n\n

                                  Start with outcomes tied to lifecycle movement: activation milestones, trial-to-paid conversion, renewal rate, expansion revenue, and support ticket deflection. These connect well to Organic Marketing<\/strong> efficiency goals.<\/p>\n\n\n\n

                                  4) What\u2019s the relationship between Community Marketing and incrementality?<\/h3>\n\n\n\n

                                  Community Marketing<\/strong> is the strategy and set of programs; Community Incrementality is the measurement approach that proves which parts of that strategy create net-new business impact.<\/p>\n\n\n\n

                                  5) Does higher community engagement always mean higher incremental revenue?<\/h3>\n\n\n\n

                                  No. Engagement can be a useful leading indicator, but it can also be \u201cbusy work.\u201d Incrementality requires linking community exposure to meaningful outcomes and comparing against a baseline.<\/p>\n\n\n\n

                                  6) How long does it take to see Community Incrementality results?<\/h3>\n\n\n\n

                                  It depends on the outcome. Activation lift can show in weeks, while retention and brand demand may take quarters. Use shorter-term leading indicators while you wait for lagging results.<\/p>\n\n\n\n

                                  7) What are common mistakes teams make when reporting incrementality?<\/h3>\n\n\n\n

                                  Over-claiming causality from correlation, ignoring self-selection bias (power users join), changing definitions midstream, and focusing on vanity metrics instead of outcomes that matter to Organic Marketing<\/strong> and business leadership.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                  Community-building has become a core lever in **Organic Marketing**\u2014but proving its business impact is still hard. **Community Incrementality** is the discipline of measuring the *additional, net-new* outcomes generated by community efforts that would not have happened otherwise. In other words, it answers the question: \u201cWhat did the community truly add beyond what our brand, product, SEO, email, and other channels would have achieved anyway?\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-8796","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\/8796","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=8796"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/8796\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=8796"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=8796"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=8796"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}