{"id":6887,"date":"2026-03-23T16:25:21","date_gmt":"2026-03-23T16:25:21","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/login-event\/"},"modified":"2026-03-23T16:25:21","modified_gmt":"2026-03-23T16:25:21","slug":"login-event","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/login-event\/","title":{"rendered":"Login Event: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Analytics"},"content":{"rendered":"\n

A Login Event<\/strong> is the recorded moment a user successfully signs into an app, website, or platform. In Conversion & Measurement<\/strong>, it\u2019s more than a technical checkpoint\u2014it\u2019s a powerful signal that a person has moved from anonymous browsing to identified engagement. In Analytics<\/strong>, it becomes a key event you can use to understand user intent, link behavior across sessions and devices, and measure the impact of marketing on real customer actions.<\/p>\n\n\n\n

Modern Conversion & Measurement<\/strong> strategies increasingly rely on first-party data and authenticated experiences. As privacy rules tighten and third-party identifiers become less reliable, the Login Event<\/strong> often becomes the bridge between marketing activity and downstream business outcomes like retention, subscription upgrades, or repeat purchases. When instrumented correctly, it helps teams measure what truly matters without guessing.<\/p>\n\n\n\n

What Is Login Event?<\/h2>\n\n\n\n

A Login Event<\/strong> is a tracked event fired when a user completes authentication successfully (for example, entering credentials, using single sign-on, or passing multi-factor authentication). Beginner-friendly definition: it\u2019s the \u201cuser logged in\u201d moment your measurement system captures so you can analyze it later.<\/p>\n\n\n\n

At its core, the concept is simple: a known user just started an authenticated session<\/em>. The business meaning, however, is broader:<\/p>\n\n\n\n

    \n
  • It often indicates higher intent than a page view or product click.<\/li>\n
  • It marks the transition from anonymous to known behavior (where permitted and governed).<\/li>\n
  • It enables deeper lifecycle analysis such as activation, retention, and churn prevention.<\/li>\n<\/ul>\n\n\n\n

    In Conversion & Measurement<\/strong>, the Login Event<\/strong> sits between acquisition and retention. It can be a micro-conversion (a step toward revenue) or even a primary conversion for products where sign-in is the \u201caha\u201d moment (e.g., SaaS platforms, banking, learning portals). In Analytics<\/strong>, it\u2019s commonly used as a key event for funnels, cohorts, attribution modeling, and identity stitching.<\/p>\n\n\n\n

    Why Login Event Matters in Conversion & Measurement<\/h2>\n\n\n\n

    A Login Event<\/strong> matters because it connects marketing effort to meaningful engagement. Many businesses spend heavily to acquire traffic, but traffic alone doesn\u2019t pay the bills. In Conversion & Measurement<\/strong>, logins help answer questions like: Are we attracting the right users? Are returning users coming back? Which campaigns bring users who actually engage?<\/em><\/p>\n\n\n\n

    Key reasons it\u2019s strategically important:<\/p>\n\n\n\n

      \n
    • Signals intent and commitment:<\/strong> Logging in often means the user has an account, remembered the brand, and wants to continue a task.<\/li>\n
    • Improves measurement quality:<\/strong> Authenticated sessions reduce ambiguity about whether actions belong to the same person.<\/li>\n
    • Supports lifecycle optimization:<\/strong> You can measure activation and retention more reliably when logins are tracked consistently.<\/li>\n
    • Enables smarter segmentation:<\/strong> Users who log in behave differently from guests; the Login Event<\/strong> helps you tailor messaging and offers.<\/li>\n<\/ul>\n\n\n\n

      As a competitive advantage, strong Analytics<\/strong> around logins can reveal friction (forgot password loops, MFA drop-offs), opportunities (high-login cohorts worth re-engaging), and product-market fit signals (rising login frequency among specific segments).<\/p>\n\n\n\n

      How Login Event Works<\/h2>\n\n\n\n

      A Login Event<\/strong> is conceptually straightforward but operationally nuanced. In practice, it typically follows this workflow:<\/p>\n\n\n\n

        \n
      1. \n

        Input \/ trigger<\/strong>\n A user initiates authentication\u2014entering username\/password, using passwordless email links, signing in with an identity provider, or completing SSO\/MFA. The event should be triggered only on successful<\/em> authentication, not merely when the login page loads.<\/p>\n<\/li>\n

      2. \n

        Processing \/ collection<\/strong>\n Your tracking layer captures the event and relevant parameters (time, device context, login method, session identifiers, and permitted user identifiers). This data is sent to your Analytics<\/strong> and event collection systems.<\/p>\n<\/li>\n

      3. \n

        Execution \/ application<\/strong>\n The Login Event<\/strong> is used in Conversion & Measurement<\/strong> workflows: funnel steps, audience building, lifecycle reporting, experimentation analysis, and attribution (where appropriate). Teams might also trigger operational actions such as in-app onboarding steps or customer success alerts.<\/p>\n<\/li>\n

      4. \n

        Output \/ outcome<\/strong>\n You get measurable insights: login rate, login frequency, returning user trends, and correlations between logins and revenue or retention. You can also identify drop-offs and optimize the experience.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

        The most important \u201chow it works\u201d detail: a Login Event<\/strong> is only as valuable as its consistency. If different platforms fire it differently, your Analytics<\/strong> becomes noisy and your Conversion & Measurement<\/strong> decisions suffer.<\/p>\n\n\n\n

        Key Components of Login Event<\/h2>\n\n\n\n

        To make a Login Event<\/strong> useful across marketing, product, and data teams, you need more than a single \u201cuser_logged_in\u201d signal. Key components include:<\/p>\n\n\n\n

        Tracking and data collection<\/h3>\n\n\n\n
          \n
        • Event schema:<\/strong> A consistent name and definition (e.g., \u201clogin_success\u201d).<\/li>\n
        • Parameters:<\/strong> Login method, authentication outcome, session ID, device type, app version, and error codes (for failed attempts tracked separately).<\/li>\n
        • Client-side vs server-side tracking:<\/strong> Client events capture UI context; server events capture authoritative authentication success.<\/li>\n<\/ul>\n\n\n\n

          Identity and user context<\/h3>\n\n\n\n
            \n
          • User identifier strategy:<\/strong> A stable internal user ID (not raw email) for analysis and joining datasets.<\/li>\n
          • Session stitching:<\/strong> Rules that connect pre-login activity to post-login activity when permitted.<\/li>\n<\/ul>\n\n\n\n

            Governance and responsibilities<\/h3>\n\n\n\n
              \n
            • Definition ownership:<\/strong> Product\/analytics teams define what qualifies as a Login Event<\/strong> (successful authentication only).<\/li>\n
            • Privacy and compliance:<\/strong> Legal\/security input on what data is allowed and how long it\u2019s retained.<\/li>\n
            • Data quality monitoring:<\/strong> Alerts for drops, spikes, duplicates, and missing parameters.<\/li>\n<\/ul>\n\n\n\n

              Measurement processes<\/h3>\n\n\n\n
                \n
              • Funnels and cohorts:<\/strong> Login as a step in onboarding or as a retention indicator.<\/li>\n
              • Experimentation:<\/strong> A\/B tests measuring impact on login rate and downstream actions.<\/li>\n<\/ul>\n\n\n\n

                Types of Login Event<\/h2>\n\n\n\n

                \u201cTypes\u201d of Login Event<\/strong> usually refer to context and implementation choices rather than formal categories. The most useful distinctions in Conversion & Measurement<\/strong> and Analytics<\/strong> are:<\/p>\n\n\n\n

                By authentication method<\/h3>\n\n\n\n
                  \n
                • Password-based login:<\/strong> Classic username\/password.<\/li>\n
                • Passwordless login:<\/strong> Magic links, one-time codes.<\/li>\n
                • Single sign-on (SSO):<\/strong> Enterprise identity providers.<\/li>\n
                • Social login:<\/strong> Sign-in via a third-party identity provider (tracked carefully due to privacy constraints).<\/li>\n
                • Multi-factor authentication (MFA) completed:<\/strong> Often captured as an additional event or parameter.<\/li>\n<\/ul>\n\n\n\n

                  By platform context<\/h3>\n\n\n\n
                    \n
                  • Web login event<\/strong> vs mobile app login event:<\/strong> Different SDKs, session behaviors, and offline considerations.<\/li>\n
                  • Cross-device login:<\/strong> Same user authenticates on multiple devices\u2014valuable for Analytics<\/strong> but requires strict identity governance.<\/li>\n<\/ul>\n\n\n\n

                    By lifecycle intent<\/h3>\n\n\n\n
                      \n
                    • First login (post-registration):<\/strong> Strong activation signal.<\/li>\n
                    • Returning login:<\/strong> Retention\/engagement signal.<\/li>\n
                    • Re-authentication:<\/strong> Session expired; user logs in again\u2014can indicate friction if too frequent.<\/li>\n<\/ul>\n\n\n\n

                      Real-World Examples of Login Event<\/h2>\n\n\n\n

                      Example 1: SaaS onboarding funnel optimization<\/h3>\n\n\n\n

                      A SaaS company tracks Login Event<\/strong> as a key step between \u201ctrial started\u201d and \u201cfirst key action completed.\u201d In Conversion & Measurement<\/strong>, they discover many users register but never log in again after day one. Using Analytics<\/strong>, they segment by acquisition channel and find that a specific campaign drives low-return logins. They refine targeting and improve onboarding emails, increasing return logins and trial-to-paid conversion.<\/p>\n\n\n\n

                      Example 2: E-commerce loyalty and repeat purchase measurement<\/h3>\n\n\n\n

                      An e-commerce brand uses a Login Event<\/strong> to identify loyalty members engaging with personalized offers. In Analytics<\/strong>, they compare purchase rates for logged-in sessions vs guest sessions. In Conversion & Measurement<\/strong>, they treat login as a micro-conversion and test incentives (points reminders, faster checkout). Results show higher average order value among logged-in users, supporting investment in loyalty UX.<\/p>\n\n\n\n

                      Example 3: Content publisher subscription retention<\/h3>\n\n\n\n

                      A publisher tracks Login Event<\/strong> for subscribers accessing premium articles. Analytics<\/strong> reveals that subscribers who log in at least twice per week have significantly lower churn. In Conversion & Measurement<\/strong>, the team builds a re-engagement program for subscribers with declining login frequency and measures uplift in retention after targeted messaging.<\/p>\n\n\n\n

                      Benefits of Using Login Event<\/h2>\n\n\n\n

                      When used thoughtfully, a Login Event<\/strong> improves both insight and performance:<\/p>\n\n\n\n

                        \n
                      • Better funnel visibility:<\/strong> You can see where users drop between acquisition, registration, login, and meaningful product use\u2014core to Conversion & Measurement<\/strong>.<\/li>\n
                      • Higher attribution confidence:<\/strong> Authenticated behavior often improves user-level analysis in Analytics<\/strong> (within privacy and consent limits).<\/li>\n
                      • More efficient spend:<\/strong> Campaigns can be optimized toward users who actually return and log in, not just click.<\/li>\n
                      • Improved user experience:<\/strong> By analyzing login friction, teams can simplify authentication, reduce support tickets, and increase satisfaction.<\/li>\n
                      • Stronger retention strategy:<\/strong> Login frequency and recency are practical predictors for lifecycle marketing and customer success.<\/li>\n<\/ul>\n\n\n\n

                        Challenges of Login Event<\/h2>\n\n\n\n

                        A Login Event<\/strong> can also create measurement pitfalls if implemented carelessly:<\/p>\n\n\n\n

                          \n
                        • Ambiguous definitions:<\/strong> Teams may accidentally track \u201clogin page view\u201d or \u201clogin attempt\u201d as a Login Event<\/strong>, inflating metrics.<\/li>\n
                        • Double counting:<\/strong> Multiple trackers (client + server) can fire duplicates without deduplication logic.<\/li>\n
                        • Cross-domain and SSO complexity:<\/strong> Redirect-based authentication flows can lose attribution parameters or break session continuity.<\/li>\n
                        • Privacy constraints:<\/strong> Over-collecting identifiers (like raw emails) can introduce compliance risk and erode trust.<\/li>\n
                        • Bot and credential stuffing noise:<\/strong> Attack traffic can distort login attempts; successful logins may still be affected if compromised accounts are involved.<\/li>\n
                        • Offline\/mobile edge cases:<\/strong> Mobile apps may queue events and send them later, complicating time-based Analytics<\/strong>.<\/li>\n<\/ul>\n\n\n\n

                          Best Practices for Login Event<\/h2>\n\n\n\n

                          To make the Login Event<\/strong> reliable in Conversion & Measurement<\/strong> and Analytics<\/strong>, use these practices:<\/p>\n\n\n\n

                            \n
                          1. \n

                            Define it precisely<\/strong>\n – Track the Login Event<\/strong> only on successful authentication.\n – Track failures separately (e.g., \u201clogin_failed\u201d) with error reasons.<\/p>\n<\/li>\n

                          2. \n

                            Standardize naming and parameters<\/strong>\n – Use consistent event names across web, iOS, Android, and backend.\n – Include a \u201clogin_method\u201d parameter and (if helpful) \u201cis_first_login.\u201d<\/p>\n<\/li>\n

                          3. \n

                            Prefer server-side truth for success<\/strong>\n – Client-side events can miss edge cases; server-side confirmation is often the source of truth.\n – If both are used, implement deduplication via event IDs.<\/p>\n<\/li>\n

                          4. \n

                            Respect privacy by design<\/strong>\n – Use internal user IDs or hashed identifiers where appropriate.\n – Avoid collecting sensitive fields as event properties.\n – Align with consent and retention policies.<\/p>\n<\/li>\n

                          5. \n

                            Connect pre-login and post-login sessions carefully<\/strong>\n – If you stitch identity, document rules and validate impacts on Analytics<\/strong> reports.\n – Be cautious with cross-device assumptions.<\/p>\n<\/li>\n

                          6. \n

                            Monitor data quality continuously<\/strong>\n – Set baselines for daily Login Event<\/strong> volume and login rate.\n – Alert on anomalies: sudden drops after releases, spikes from suspicious traffic, missing parameters.<\/p>\n<\/li>\n

                          7. \n

                            Use login insights to reduce friction<\/strong>\n – Measure time-to-login, password reset frequency, MFA completion rate, and drop-off points.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                            Tools Used for Login Event<\/h2>\n\n\n\n

                            A Login Event<\/strong> is measured and operationalized through a mix of systems. Vendor-neutral tool categories include:<\/p>\n\n\n\n

                              \n
                            • Analytics tools:<\/strong> Event-based and session-based platforms to record logins, build funnels, and analyze cohorts.<\/li>\n
                            • Tag management systems:<\/strong> Control client-side event firing, versioning, and governance for web properties.<\/li>\n
                            • Mobile measurement and app analytics SDKs:<\/strong> Capture app logins consistently across platforms.<\/li>\n
                            • Customer data platforms (CDPs) \/ event pipelines:<\/strong> Standardize event schemas, route data to multiple destinations, and manage identity resolution.<\/li>\n
                            • CRM systems and marketing automation:<\/strong> Use login recency\/frequency for lifecycle campaigns and lead\/customer scoring.<\/li>\n
                            • Data warehouses and BI dashboards:<\/strong> Join Login Event<\/strong> data with revenue, subscriptions, and support tickets for deeper Analytics<\/strong>.<\/li>\n
                            • Security and identity systems:<\/strong> Authentication logs can validate successful logins and help reconcile measurement.<\/li>\n<\/ul>\n\n\n\n

                              In Conversion & Measurement<\/strong>, the key is not the tool brand\u2014it\u2019s the consistency of definitions and the reliability of event collection across the stack.<\/p>\n\n\n\n

                              Metrics Related to Login Event<\/h2>\n\n\n\n

                              To turn a Login Event<\/strong> into actionable Analytics<\/strong>, track metrics that reflect both performance and experience:<\/p>\n\n\n\n

                                \n
                              • Login rate:<\/strong> Logins divided by sessions or users (define denominator clearly).<\/li>\n
                              • First-login completion rate:<\/strong> Percentage of newly registered users who log in within a defined window.<\/li>\n
                              • Login frequency:<\/strong> Average logins per user per week\/month (useful for retention).<\/li>\n
                              • Login recency:<\/strong> Time since last login (excellent for lifecycle triggers).<\/li>\n
                              • Authentication drop-off:<\/strong> Users who start login but don\u2019t complete (requires separate \u201cattempt\u201d events).<\/li>\n
                              • Password reset rate:<\/strong> Indicator of friction and support burden.<\/li>\n
                              • MFA completion rate (where applicable):<\/strong> Helps balance security with usability.<\/li>\n
                              • Downstream conversion after login:<\/strong> Purchase, upgrade, key feature usage\u2014core to Conversion & Measurement<\/strong> ROI analysis.<\/li>\n<\/ul>\n\n\n\n

                                Future Trends of Login Event<\/h2>\n\n\n\n

                                The Login Event<\/strong> is evolving alongside privacy, identity, and automation:<\/p>\n\n\n\n

                                  \n
                                • First-party measurement emphasis:<\/strong> As ecosystems move away from third-party identifiers, authenticated signals like the Login Event<\/strong> become more central to Conversion & Measurement<\/strong>.<\/li>\n
                                • More server-side and modeled measurement:<\/strong> Server-side event collection and privacy-preserving modeling will shape how Analytics<\/strong> attributes outcomes to marketing.<\/li>\n
                                • Passwordless adoption:<\/strong> More organizations will shift to passwordless and passkeys, changing login flows and the parameters you should track.<\/li>\n
                                • Real-time personalization:<\/strong> Login-based segmentation will increasingly drive immediate personalization (on-site, in-app, email), requiring low-latency event pipelines.<\/li>\n
                                • AI-assisted anomaly detection:<\/strong> AI will help detect unusual login patterns (fraud, bots) and measurement issues (instrumentation regressions).<\/li>\n
                                • Stronger governance expectations:<\/strong> Companies will formalize event taxonomies and data contracts to keep Analytics<\/strong> trustworthy.<\/li>\n<\/ul>\n\n\n\n

                                  Login Event vs Related Terms<\/h2>\n\n\n\n

                                  Understanding adjacent concepts prevents mis-measurement:<\/p>\n\n\n\n

                                  Login Event vs Page View<\/h3>\n\n\n\n

                                  A page view records that a page loaded. A Login Event<\/strong> records a successful authentication outcome. In Conversion & Measurement<\/strong>, page views measure reach and content consumption; logins measure identified engagement and retention potential.<\/p>\n\n\n\n

                                  Login Event vs Registration (Sign-up) Event<\/h3>\n\n\n\n

                                  Registration is account creation. A Login Event<\/strong> is returning or initial access using credentials. Many users sign up once and never return\u2014tracking both helps Analytics<\/strong> separate acquisition from activation.<\/p>\n\n\n\n

                                  Login Event vs Session Start<\/h3>\n\n\n\n

                                  Session start indicates a new visit\/app session. A Login Event<\/strong> may happen inside a session\u2014or not at all. In Conversion & Measurement<\/strong>, sessions measure traffic; logins measure commitment and enable user-level journey analysis.<\/p>\n\n\n\n

                                  Who Should Learn Login Event<\/h2>\n\n\n\n
                                    \n
                                  • Marketers:<\/strong> To measure micro-conversions, improve lifecycle campaigns, and optimize spend toward users who actually return.<\/li>\n
                                  • Analysts:<\/strong> To build trustworthy funnels, cohorts, and attribution analyses in Analytics<\/strong> without identity confusion.<\/li>\n
                                  • Agencies:<\/strong> To prove performance beyond clicks by connecting campaigns to authenticated engagement and retention.<\/li>\n
                                  • Business owners and founders:<\/strong> To understand whether growth is real (returning users) and where friction hurts conversion.<\/li>\n
                                  • Developers and product teams:<\/strong> To instrument authentication flows correctly and ensure Login Event<\/strong> data is accurate, secure, and usable.<\/li>\n<\/ul>\n\n\n\n

                                    Summary of Login Event<\/h2>\n\n\n\n

                                    A Login Event<\/strong> is the recorded action of a user successfully signing in. It matters because it marks a shift from anonymous activity to identified engagement, strengthening Analytics<\/strong> and enabling more reliable Conversion & Measurement<\/strong> across funnels, lifecycle stages, and retention efforts. When defined consistently, collected responsibly, and analyzed thoughtfully, the Login Event<\/strong> becomes a high-signal metric for growth, user experience improvement, and smarter marketing decisions.<\/p>\n\n\n\n

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

                                    1) What is a Login Event and when should I track it?<\/h3>\n\n\n\n

                                    Track a Login Event<\/strong> when authentication succeeds and the user is granted access. Avoid firing it on the login page view or on a login attempt, because that inflates results and weakens Conversion & Measurement<\/strong> accuracy.<\/p>\n\n\n\n

                                    2) Should I track failed logins as a Login Event?<\/h3>\n\n\n\n

                                    No. Track failures separately (for example, \u201clogin_failed\u201d) with a reason code. This keeps Analytics<\/strong> clean while still giving visibility into friction and security issues.<\/p>\n\n\n\n

                                    3) How does Login Event data improve Analytics attribution?<\/h3>\n\n\n\n

                                    A Login Event<\/strong> can help connect behavior across sessions and devices by tying activity to an authenticated user (within consent and policy). That often improves cohort analysis and reduces duplicate-user counting, which strengthens Analytics<\/strong> conclusions.<\/p>\n\n\n\n

                                    4) Is login a conversion?<\/h3>\n\n\n\n

                                    It depends on the business model. For many products, login is a micro-conversion<\/strong> (a step toward a purchase or subscription). In others\u2014like member-only services\u2014login itself can be a primary conversion goal in Conversion & Measurement<\/strong>.<\/p>\n\n\n\n

                                    5) What properties should I include with a Login Event?<\/h3>\n\n\n\n

                                    Commonly useful properties include login method (password, SSO, passwordless), platform (web\/app), is_first_login, session ID, and a non-sensitive internal user ID. Avoid collecting sensitive data such as raw passwords or unnecessary personal information.<\/p>\n\n\n\n

                                    6) How do I prevent double counting Login Event triggers?<\/h3>\n\n\n\n

                                    Use a single source of truth (often server-side) or implement deduplication using unique event IDs. Validate counts after releases, and monitor anomalies in Analytics<\/strong> dashboards.<\/p>\n\n\n\n

                                    7) How can I use Login Event insights to improve retention?<\/h3>\n\n\n\n

                                    Measure login recency and frequency, then identify users whose login pattern is declining. In Conversion & Measurement<\/strong>, trigger re-engagement campaigns, improve onboarding, and reduce login friction (password resets, MFA usability) to increase returning usage.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                    A **Login Event** is the recorded moment a user successfully signs into an app, website, or platform. In **Conversion & Measurement**, it\u2019s more than a technical checkpoint\u2014it\u2019s a powerful signal that a person has moved from anonymous browsing to identified engagement. In **Analytics**, it becomes a key event you can use to understand user intent, link behavior across sessions and devices, and measure the impact of marketing on real customer actions.<\/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-6887","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\/6887","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=6887"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/6887\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=6887"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=6887"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=6887"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}