{"id":6920,"date":"2026-03-23T17:39:01","date_gmt":"2026-03-23T17:39:01","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/realtime-report\/"},"modified":"2026-03-23T17:39:01","modified_gmt":"2026-03-23T17:39:01","slug":"realtime-report","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/realtime-report\/","title":{"rendered":"Realtime Report: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Analytics"},"content":{"rendered":"\n

A Realtime Report<\/strong> is a view of user activity and marketing performance as it happens\u2014seconds or minutes after events occur\u2014so teams can monitor, diagnose, and act without waiting for end-of-day or next-day reporting. In Conversion & Measurement<\/strong>, that immediacy changes how you manage campaigns, site reliability, and revenue risk: you can spot tracking failures, checkout errors, traffic spikes, or a broken ad destination while they\u2019re still fixable.<\/p>\n\n\n\n

In modern Analytics<\/strong>, a Realtime Report is not just \u201cfaster dashboards.\u201d It\u2019s a decision-support layer for operations and growth. When you\u2019re running always-on acquisition, automated bidding, personalization, and frequent releases, delayed reporting can mean wasted spend, misattributed conversions, and slow incident response. Realtime visibility helps teams protect performance, validate changes, and respond to customer behavior in the moment.<\/p>\n\n\n\n

What Is Realtime Report?<\/h2>\n\n\n\n

A Realtime Report<\/strong> is an analytics reporting view that continuously updates with the latest events, sessions, conversions, and system signals. Unlike batch reports (which compile data hourly or daily), it prioritizes timeliness and monitoring.<\/p>\n\n\n\n

At the core, a Realtime Report answers questions like:<\/p>\n\n\n\n

    \n
  • What is happening on the site or app right now?<\/li>\n
  • Which campaigns are currently driving traffic and conversions?<\/li>\n
  • Are key flows (signup, checkout, lead form) working as expected?<\/li>\n
  • Did a release, tag change, or ad update break measurement?<\/li>\n<\/ul>\n\n\n\n

    From a business perspective, Realtime Report functionality supports operational decision-making: pausing a campaign that is sending low-quality traffic, rolling back a release that breaks the purchase event, or reallocating budget when a channel suddenly overperforms. Within Conversion & Measurement<\/strong>, it is a safeguard and an accelerator\u2014helping you verify that conversion tracking is firing, funnels are intact, and high-value actions are occurring. Inside Analytics<\/strong>, it typically sits alongside acquisition, engagement, and conversion reports, but serves a distinct purpose: immediate awareness and triage.<\/p>\n\n\n\n

    Why Realtime Report Matters in Conversion & Measurement<\/h2>\n\n\n\n

    Realtime Report capability matters because marketing systems move faster than traditional reporting cycles. In Conversion & Measurement<\/strong>, the cost of not knowing \u201cright now\u201d can be high:<\/p>\n\n\n\n

      \n
    • Protect revenue and pipeline:<\/strong> If the purchase event breaks or a payment provider fails, you need confirmation quickly\u2014before hours of sales are lost.<\/li>\n
    • Prevent wasted ad spend:<\/strong> Campaigns can ramp spend quickly. A Realtime Report can reveal traffic surges, landing page errors, or incorrect UTM tagging early.<\/li>\n
    • Validate tracking and attribution:<\/strong> When teams launch new pixels, tags, consent banners, or server-side tracking, realtime monitoring catches implementation mistakes before they corrupt Analytics<\/strong> data for days.<\/li>\n
    • Support rapid experimentation:<\/strong> A\/B tests, new creatives, and pricing changes benefit from immediate sanity checks on event volumes and funnel health.<\/li>\n
    • Competitive advantage:<\/strong> Teams that react faster can capitalize on demand spikes, trending content, or influencer mentions\u2014while minimizing downtime or misallocation.<\/li>\n<\/ul>\n\n\n\n

      In short, Realtime Report views provide operational leverage: you can manage performance like a control room rather than a post-mortem.<\/p>\n\n\n\n

      How Realtime Report Works<\/h2>\n\n\n\n

      A Realtime Report is often conceptual (a reporting mode), but it follows a practical workflow from event generation to decisions:<\/p>\n\n\n\n

        \n
      1. \n

        Input \/ Trigger (data creation)<\/strong>\n – A user loads a page, clicks a CTA, submits a form, adds to cart, or completes a purchase.\n – Your measurement setup records events via tags, SDKs, or server-side endpoints.\n – Campaign metadata (UTMs, referrers, click IDs) is captured for Conversion & Measurement<\/strong> context.<\/p>\n<\/li>\n

      2. \n

        Processing (collection and near-real-time aggregation)<\/strong>\n – Events are validated, timestamped, and routed through collection pipelines.\n – Basic transformations occur (deduplication, sessionization, device enrichment, geo lookup).\n – Some systems apply privacy controls (consent state, data minimization), which can affect what appears in Analytics<\/strong>.<\/p>\n<\/li>\n

      3. \n

        Execution \/ Application (reporting and alerting)<\/strong>\n – The Realtime Report updates charts and tables as new events arrive.\n – Teams may set alerts or thresholds (e.g., purchases drop to zero, error rates spike).<\/p>\n<\/li>\n

      4. \n

        Output \/ Outcome (action)<\/strong>\n – Marketers pause ads, adjust bids, swap creatives, or fix broken URLs.\n – Analysts confirm event integrity and investigate anomalies.\n – Developers identify release issues and roll back or patch quickly.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

        The key principle: realtime reporting is optimized for speed and situational awareness, not necessarily for finalized, reconciled numbers.<\/p>\n\n\n\n

        Key Components of Realtime Report<\/h2>\n\n\n\n

        A dependable Realtime Report capability requires more than a dashboard. Key components usually include:<\/p>\n\n\n\n

        Data collection layer<\/h3>\n\n\n\n
          \n
        • Client-side instrumentation:<\/strong> Tag manager rules, pixels, on-site events, app SDK events.<\/li>\n
        • Server-side collection:<\/strong> Event forwarding, conversion APIs, server-to-server events (useful when browsers block third-party scripts).<\/li>\n
        • Identity and attribution signals:<\/strong> UTMs, click IDs, referrer data, session identifiers.<\/li>\n<\/ul>\n\n\n\n

          Processing and data quality controls<\/h3>\n\n\n\n
            \n
          • Event validation (required parameters, event naming rules).<\/li>\n
          • Deduplication logic (especially when both browser and server send the same conversion).<\/li>\n
          • Filtering for internal traffic, bots, and monitoring tools when feasible.<\/li>\n<\/ul>\n\n\n\n

            Reporting interface and operational workflows<\/h3>\n\n\n\n
              \n
            • Live dashboards with segmentation (channel, campaign, landing page, device, geo).<\/li>\n
            • Drill-downs to see which pages or events changed.<\/li>\n
            • Alerting\/notifications tied to Conversion & Measurement<\/strong> health signals.<\/li>\n<\/ul>\n\n\n\n

              Governance and ownership<\/h3>\n\n\n\n
                \n
              • A measurement plan (events, definitions, ownership).<\/li>\n
              • Change management (tag changes, releases, campaign naming conventions).<\/li>\n
              • A clear incident response path: who fixes tracking vs who fixes the site vs who pauses campaigns.<\/li>\n<\/ul>\n\n\n\n

                Types of Realtime Report<\/h2>\n\n\n\n

                Realtime Report does not have universal \u201cformal types,\u201d but in practice you\u2019ll see distinct contexts that matter for Analytics<\/strong> and Conversion & Measurement<\/strong>:<\/p>\n\n\n\n

                1) Traffic and acquisition realtime reports<\/h3>\n\n\n\n

                Focus: active users, sessions, top sources, campaign performance \u201cright now.\u201d\nUse: monitoring campaign launches, influencer spikes, email sends, and PR hits.<\/p>\n\n\n\n

                2) Conversion and funnel realtime reports<\/h3>\n\n\n\n

                Focus: key events (lead, signup, add-to-cart, purchase), step drop-offs, and conversion rate signals as events stream in.\nUse: detecting broken forms, checkout failures, or tracking regressions quickly.<\/p>\n\n\n\n

                3) Operational and technical realtime reports<\/h3>\n\n\n\n

                Focus: site speed, error rates, tag firing, API failures, and status signals that impact measurement integrity.\nUse: diagnosing \u201cconversions dropped\u201d incidents and distinguishing tracking issues from real demand changes.<\/p>\n\n\n\n

                4) Realtime experimentation monitoring<\/h3>\n\n\n\n

                Focus: variant traffic allocation, event volumes by experiment arm, guardrail metrics (errors, bounce spikes).\nUse: sanity checks right after a test starts or a feature is released.<\/p>\n\n\n\n

                Real-World Examples of Realtime Report<\/h2>\n\n\n\n

                Example 1: Ecommerce campaign launch validation<\/h3>\n\n\n\n

                A retailer launches a flash sale across paid search and social. Within minutes, the Realtime Report shows a surge in sessions, but purchases remain near zero while add-to-cart spikes. The team checks the checkout flow and finds a payment error introduced in a last-minute update. Because Conversion & Measurement<\/strong> monitoring is realtime, the dev team rolls back quickly, saving revenue and preventing Analytics<\/strong> from being polluted by hours of broken conversion tracking.<\/p>\n\n\n\n

                Example 2: Lead-gen form tracking and CRM alignment<\/h3>\n\n\n\n

                A B2B company updates its lead form and routing rules. The Realtime Report shows form submissions rising, but the CRM isn\u2019t receiving leads. That indicates the conversion event fires but server-side routing is failing. Marketing pauses high-spend campaigns temporarily, while operations fixes the webhook. This protects CAC and keeps Conversion & Measurement<\/strong> consistent from web event to pipeline.<\/p>\n\n\n\n

                Example 3: Content spike and capacity planning<\/h3>\n\n\n\n

                A publisher gets mentioned by a large newsletter, driving a traffic wave. The Realtime Report identifies the top landing page and geo mix. The team adjusts caching and monitors errors. Meanwhile, the marketing team adds contextual CTAs on the high-traffic article. Here, realtime Analytics<\/strong> supports both site stability and conversion optimization.<\/p>\n\n\n\n

                Benefits of Using Realtime Report<\/h2>\n\n\n\n

                A well-used Realtime Report delivers measurable gains across performance and operations:<\/p>\n\n\n\n

                  \n
                • Faster incident detection:<\/strong> Catch broken tags, missing events, or funnel failures within minutes.<\/li>\n
                • Reduced wasted spend:<\/strong> Pause or adjust campaigns when landing pages fail, tracking breaks, or traffic quality drops.<\/li>\n
                • Quicker learning cycles:<\/strong> Validate launches, tests, and creative changes without waiting for daily reports.<\/li>\n
                • Improved customer experience:<\/strong> Identify friction (errors, slow pages) while users are actively affected.<\/li>\n
                • Better cross-team alignment:<\/strong> A shared realtime view helps marketing, analytics, and engineering coordinate using the same signals in Conversion & Measurement<\/strong>.<\/li>\n<\/ul>\n\n\n\n

                  Challenges of Realtime Report<\/h2>\n\n\n\n

                  Realtime reporting is powerful, but it comes with limitations and risks that teams should plan for:<\/p>\n\n\n\n

                    \n
                  • Data is often provisional:<\/strong> Realtime numbers may change as systems finalize processing, apply deduplication, or filter bots. Treat realtime views as directional for Analytics<\/strong>, not final accounting.<\/li>\n
                  • Sampling, thresholds, and privacy controls:<\/strong> Depending on your setup, consent states or privacy thresholds may reduce visibility\u2014especially for small segments.<\/li>\n
                  • Attribution is incomplete in the moment:<\/strong> Some conversion crediting and cross-device stitching happens later. Realtime is best for monitoring, not final ROI.<\/li>\n
                  • False alarms and noise:<\/strong> Normal volatility (especially at low volume) can look like a problem. Without baselines, teams can overreact.<\/li>\n
                  • Instrumentation drift:<\/strong> Frequent site releases can silently change event names or parameters, breaking Conversion & Measurement<\/strong> consistency.<\/li>\n<\/ul>\n\n\n\n

                    Best Practices for Realtime Report<\/h2>\n\n\n\n

                    Use these practices to make Realtime Report monitoring reliable and actionable:<\/p>\n\n\n\n

                    Define \u201cwhat must never break\u201d<\/h3>\n\n\n\n

                    Identify a small set of critical events and flows:\n– purchase\/checkout success\n– lead submission\n– signup completion\n– key revenue or pipeline events<\/p>\n\n\n\n

                    Build a Realtime Report view that prioritizes these signals over vanity metrics.<\/p>\n\n\n\n

                    Establish baselines and alert thresholds<\/h3>\n\n\n\n

                    Set expectations by hour\/day and by channel. Alerts should consider:\n– minimum volume (avoid triggering on tiny sample sizes)\n– rate changes (e.g., conversion rate drops 40% vs absolute drops)\n– technical guardrails (error spikes, page load regressions)<\/p>\n\n\n\n

                    Separate tracking failures from demand changes<\/h3>\n\n\n\n

                    When conversions drop in realtime:\n– verify event firing (tag debugger\/QA checks)\n– compare add-to-cart vs purchase behavior\n– check site errors and payment status\nThis triage prevents bad decisions in Conversion & Measurement<\/strong>.<\/p>\n\n\n\n

                    Standardize campaign and event naming<\/h3>\n\n\n\n

                    Realtime monitoring only works if data is interpretable quickly. Use:\n– consistent UTM conventions\n– controlled event names and parameter dictionaries\n– clear channel groupings in Analytics<\/strong><\/p>\n\n\n\n

                    Add a launch checklist<\/h3>\n\n\n\n

                    For any new campaign, tag change, or release:\n– confirm correct landing page and status codes\n– verify key events fire once (no duplicates)\n– confirm attribution parameters are present\n– verify CRM or backend receipt when applicable<\/p>\n\n\n\n

                    Build a \u201ccontrol room\u201d dashboard<\/h3>\n\n\n\n

                    Create one view that a team can use during launches:\n– active users and top pages\n– top sources\/campaigns\n– key events and conversion rate signals\n– error rate or status indicators<\/p>\n\n\n\n

                    Tools Used for Realtime Report<\/h2>\n\n\n\n

                    Realtime Report capabilities can be implemented with multiple tool categories. In most organizations, you\u2019ll combine several:<\/p>\n\n\n\n

                      \n
                    • Analytics tools:<\/strong> Provide realtime views of events, traffic, and conversions, plus segmentation and debugging features.<\/li>\n
                    • Tag management systems:<\/strong> Control client-side event firing, triggers, and variables; critical for Conversion & Measurement<\/strong> governance.<\/li>\n
                    • Server-side event pipelines:<\/strong> Collect events via APIs, enable deduplication, and help when browser restrictions limit tracking.<\/li>\n
                    • Reporting dashboards and BI tools:<\/strong> Build custom realtime operational dashboards that unify marketing and technical signals.<\/li>\n
                    • Monitoring and observability tools:<\/strong> Track uptime, errors, performance metrics, and API failures that affect conversion flows.<\/li>\n
                    • CRM and marketing automation systems:<\/strong> Confirm that leads and customer events arrive downstream, closing the loop beyond Analytics<\/strong>.<\/li>\n<\/ul>\n\n\n\n

                      The best \u201ctool\u201d is often the workflow: clear ownership, alert routing, and documented response steps.<\/p>\n\n\n\n

                      Metrics Related to Realtime Report<\/h2>\n\n\n\n

                      A Realtime Report is only as useful as the metrics you monitor. Common metrics include:<\/p>\n\n\n\n

                      Conversion & revenue signals<\/h3>\n\n\n\n
                        \n
                      • Conversions by key event (lead, signup, purchase)<\/li>\n
                      • Conversion rate (session-to-conversion, step-to-step)<\/li>\n
                      • Revenue, average order value (directional in realtime)<\/li>\n
                      • Checkout or form completion rate<\/li>\n<\/ul>\n\n\n\n

                        Acquisition and campaign signals<\/h3>\n\n\n\n
                          \n
                        • Active users\/sessions by source\/medium\/campaign<\/li>\n
                        • Landing page sessions and engagement<\/li>\n
                        • Click-through and bounce\/exit proxies (depending on measurement model)<\/li>\n<\/ul>\n\n\n\n

                          Quality and operations signals<\/h3>\n\n\n\n
                            \n
                          • Error rate on key pages (4xx\/5xx, client errors)<\/li>\n
                          • Page load performance (core UX timings or equivalent)<\/li>\n
                          • Event match rate (browser vs server), deduplication rate<\/li>\n
                          • Percentage of traffic missing UTMs or campaign identifiers<\/li>\n<\/ul>\n\n\n\n

                            Efficiency and ROI proxies<\/h3>\n\n\n\n
                              \n
                            • Cost-to-conversion (if cost data is available quickly)<\/li>\n
                            • Spend pacing vs conversion pacing (directional)<\/li>\n
                            • Lead-to-CRM acceptance rate (near-real-time operational KPI)<\/li>\n<\/ul>\n\n\n\n

                              Future Trends of Realtime Report<\/h2>\n\n\n\n

                              Realtime reporting is evolving quickly as Analytics<\/strong> and Conversion & Measurement<\/strong> adapt to new constraints and opportunities:<\/p>\n\n\n\n

                                \n
                              • More automation in detection and response:<\/strong> AI-assisted anomaly detection will reduce manual monitoring and prioritize the few incidents that matter.<\/li>\n
                              • Shift toward event-driven architectures:<\/strong> Server-side tracking and streaming pipelines make Realtime Report views more resilient to browser changes.<\/li>\n
                              • Operationalization of measurement:<\/strong> Realtime dashboards will increasingly blend marketing metrics with product and reliability signals (errors, latency, payment success).<\/li>\n
                              • Privacy-aware realtime measurement:<\/strong> Consent-based measurement and modeled conversions will coexist with realtime indicators, requiring teams to understand what is observed vs inferred.<\/li>\n
                              • Personalization feedback loops:<\/strong> Realtime insights will feed faster personalization and onsite experience adjustments\u2014while demanding stronger governance to avoid overreacting to noise.<\/li>\n<\/ul>\n\n\n\n

                                Within Conversion & Measurement<\/strong>, the trend is clear: realtime becomes less of a \u201cnice to have\u201d and more of a standard control layer for growth systems.<\/p>\n\n\n\n

                                Realtime Report vs Related Terms<\/h2>\n\n\n\n

                                Realtime Report vs Dashboard<\/h3>\n\n\n\n

                                A dashboard is a presentation layer that can be realtime or delayed. A Realtime Report is specifically about near-immediate updates. Many dashboards refresh hourly; a Realtime Report prioritizes live monitoring for Conversion & Measurement<\/strong>.<\/p>\n\n\n\n

                                Realtime Report vs Real-time Analytics<\/h3>\n\n\n\n

                                Real-time analytics is broader: the capability to ingest and analyze events with minimal latency (including streaming computations, segmentation, and triggers). A Realtime Report is the reporting interface or view built on top of that capability.<\/p>\n\n\n\n

                                Realtime Report vs Daily\/Batch Reporting<\/h3>\n\n\n\n

                                Batch reporting optimizes for completeness, reconciliation, and stable attribution. Realtime reporting optimizes for speed and detection. In Analytics<\/strong>, you typically use Realtime Report for triage and daily reports for performance evaluation and budgeting decisions.<\/p>\n\n\n\n

                                Who Should Learn Realtime Report<\/h2>\n\n\n\n
                                  \n
                                • Marketers:<\/strong> To validate launches, prevent wasted spend, and manage campaign pacing using Conversion & Measurement<\/strong> signals.<\/li>\n
                                • Analysts:<\/strong> To debug tracking, investigate anomalies, and build monitoring frameworks that complement traditional Analytics<\/strong> reporting.<\/li>\n
                                • Agencies:<\/strong> To protect client performance during deployments and campaign rollouts, and to provide proactive monitoring as a service.<\/li>\n
                                • Business owners and founders:<\/strong> To understand what \u201chealthy\u201d looks like right now\u2014especially during promotions, product launches, or outages.<\/li>\n
                                • Developers:<\/strong> To verify instrumentation, catch regressions quickly, and collaborate with marketing on event definitions and data quality.<\/li>\n<\/ul>\n\n\n\n

                                  Summary of Realtime Report<\/h2>\n\n\n\n

                                  A Realtime Report<\/strong> is a continuously updating view of user and conversion activity designed for immediate monitoring and decision-making. It matters because modern marketing moves fast, and Conversion & Measurement<\/strong> failures can waste spend, break funnels, and distort Analytics<\/strong> insights if they go unnoticed. Used well, realtime reporting supports faster incident response, better launch validation, and stronger cross-team coordination\u2014while still requiring daily and reconciled reports for final performance analysis.<\/p>\n\n\n\n

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

                                  1) What is a Realtime Report used for?<\/h3>\n\n\n\n

                                  A Realtime Report is used to monitor what\u2019s happening right now\u2014traffic, key events, and conversions\u2014so teams can validate launches, detect broken funnels, and respond to anomalies quickly in Conversion & Measurement<\/strong>.<\/p>\n\n\n\n

                                  2) How accurate is realtime data compared to standard Analytics reports?<\/h3>\n\n\n\n

                                  Realtime data is often directionally accurate but can be provisional. Standard Analytics<\/strong> reports may apply additional processing (deduplication, filtering, attribution finalization), so totals can differ from what you saw in realtime.<\/p>\n\n\n\n

                                  3) What should I monitor first in a Realtime Report?<\/h3>\n\n\n\n

                                  Start with \u201cmust-not-break\u201d signals: purchases or lead submissions, funnel step counts, top landing pages, top campaigns, and error indicators for critical pages. This gives immediate coverage for Conversion & Measurement<\/strong> health.<\/p>\n\n\n\n

                                  4) Why do conversions show in realtime but not in my CRM (or vice versa)?<\/h3>\n\n\n\n

                                  This usually indicates a gap between event tracking and downstream processing. The website event may fire, but the integration to CRM can fail\u2014or CRM may record leads with a delay. Reconcile by checking server logs, webhook status, and deduplication rules.<\/p>\n\n\n\n

                                  5) Can a Realtime Report help with debugging tracking issues?<\/h3>\n\n\n\n

                                  Yes. Realtime views are ideal for confirming whether events are firing, whether parameters are present (like campaign tags), and whether changes you deployed impacted measurement. It\u2019s one of the fastest ways to catch Analytics<\/strong> instrumentation regressions.<\/p>\n\n\n\n

                                  6) How do I avoid overreacting to noise in realtime monitoring?<\/h3>\n\n\n\n

                                  Use baselines, minimum volume thresholds, and rate-based alerts. Compare multiple signals (traffic, add-to-cart, purchase, errors) before taking action. Realtime Report data is best for detection and triage, not final conclusions.<\/p>\n\n\n\n

                                  7) Do I still need daily reports if I have realtime reporting?<\/h3>\n\n\n\n

                                  Yes. Realtime Report views support immediate decisions, while daily\/weekly reporting supports accurate performance evaluation, attribution review, and budget planning\u2014both are essential parts of Conversion & Measurement<\/strong> and Analytics<\/strong> operations.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                  A **Realtime Report** is a view of user activity and marketing performance as it happens\u2014seconds or minutes after events occur\u2014so teams can monitor, diagnose, and act without waiting for end-of-day or next-day reporting. In **Conversion & Measurement**, that immediacy changes how you manage campaigns, site reliability, and revenue risk: you can spot tracking failures, checkout errors, traffic spikes, or a broken ad destination while they\u2019re still fixable.<\/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":[1887],"tags":[],"class_list":["post-6920","post","type-post","status-publish","format-standard","hentry","category-analytics"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/6920","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=6920"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/6920\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=6920"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=6920"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=6920"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}