{"id":7431,"date":"2026-03-24T12:44:08","date_gmt":"2026-03-24T12:44:08","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/disqualified-lead\/"},"modified":"2026-03-24T12:44:08","modified_gmt":"2026-03-24T12:44:08","slug":"disqualified-lead","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/disqualified-lead\/","title":{"rendered":"Disqualified Lead: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Demand Generation & B2B Marketing"},"content":{"rendered":"\n

In Demand Generation & B2B Marketing<\/strong>, not every inbound form fill, event badge scan, or demo request deserves equal follow-up. A Disqualified Lead<\/strong> is a lead that has been evaluated and intentionally removed from the active pipeline because it does not meet your agreed criteria to pursue\u2014now or ever.<\/p>\n\n\n\n

This concept matters because modern Demand Generation & B2B Marketing<\/strong> is measured by efficiency as much as volume. When teams treat every lead as \u201cpotential revenue,\u201d they inflate costs, slow response times, frustrate sales, and distort performance reporting. Managing a Disqualified Lead<\/strong> correctly protects your funnel, your sales team\u2019s time, and the credibility of your data\u2014while improving the outcomes of Demand Generation & B2B Marketing<\/strong> programs over the long term.<\/p>\n\n\n\n

What Is Disqualified Lead?<\/h2>\n\n\n\n

A Disqualified Lead<\/strong> is a person or account that has been reviewed against qualification rules (fit, intent, timing, eligibility, consent, or data quality) and determined to be not worth pursuing through standard sales follow-up<\/strong>.<\/p>\n\n\n\n

At its core, the idea is simple: you\u2019re not saying the person is \u201cbad,\u201d you\u2019re saying the lead is not a match for your go-to-market motion<\/strong>. In a B2B context, a lead may be disqualified because the company is too small, the geography is unsupported, the request is from a student, the contact is a competitor, or the inquiry is unrelated to the product.<\/p>\n\n\n\n

In Demand Generation & B2B Marketing<\/strong>, the Disqualified Lead<\/strong> sits at a crucial decision point between \u201ccaptured demand\u201d and \u201csales-ready opportunity.\u201d It is part of lead lifecycle management: capture \u2192 validate \u2192 qualify \u2192 route \u2192 nurture\u2014or disqualify.<\/p>\n\n\n\n

Why Disqualified Lead Matters in Demand Generation & B2B Marketing<\/h2>\n\n\n\n

A well-managed Disqualified Lead<\/strong> improves both strategy and execution across Demand Generation & B2B Marketing<\/strong>:<\/p>\n\n\n\n

    \n
  • Sharper funnel efficiency:<\/strong> Removing non-viable leads prevents sales queues from being clogged by low-probability conversations.<\/li>\n
  • More credible reporting:<\/strong> If disqualification is tracked properly, marketing can explain performance with clarity (e.g., \u201chigh lead volume, but low ICP fit from this channel\u201d).<\/li>\n
  • Better budget allocation:<\/strong> When you understand why leads become a Disqualified Lead<\/strong>, you can refine targeting, messaging, and channel mix to reduce waste.<\/li>\n
  • Improved sales alignment:<\/strong> Disqualification criteria force explicit agreements on what \u201cgood\u201d looks like, reducing friction between marketing and sales.<\/li>\n
  • Competitive advantage:<\/strong> Faster response to qualified leads is often a differentiator; controlling the Disqualified Lead<\/strong> flow keeps response capacity available for high-intent accounts.<\/li>\n<\/ul>\n\n\n\n

    How Disqualified Lead Works<\/h2>\n\n\n\n

    A Disqualified Lead<\/strong> is more of an operational decision than a single tactic. In practice, it \u201cworks\u201d through a repeatable evaluation and disposition workflow:<\/p>\n\n\n\n

      \n
    1. \n

      Input \/ trigger<\/strong>\n A lead enters your system via a form, event, chat, inbound email, partner referral, content syndication, or outbound capture. Basic attributes (email, company, role, request type, consent) are collected.<\/p>\n<\/li>\n

    2. \n

      Analysis \/ processing<\/strong>\n The lead is evaluated using:\n – Firmographic rules (industry, size, region)\n – Role and buying authority signals\n – Intent signals (behavior, pages visited, keywords, request type)\n – Data validation (duplicates, invalid email, missing company)\n – Policy checks (consent, suppression lists, competitor domains)<\/p>\n<\/li>\n

    3. \n

      Execution \/ application<\/strong>\n Based on rules and\/or scoring, the lead is routed to sales, routed to a nurture track, enriched for more data, or marked as a Disqualified Lead<\/strong> with a reason code.<\/p>\n<\/li>\n

    4. \n

      Output \/ outcome<\/strong>\n The lead is removed from active follow-up queues, excluded from certain sequences, and optionally placed into a \u201cdo not contact\u201d or \u201cdo not route\u201d segment. Reporting captures the disqualification reason so Demand Generation & B2B Marketing<\/strong> can learn and improve.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

      The key is that Disqualified Lead<\/strong> should be a deliberate, governed status\u2014not a vague label that hides problems.<\/p>\n\n\n\n

      Key Components of Disqualified Lead<\/h2>\n\n\n\n

      To handle a Disqualified Lead<\/strong> consistently, teams typically rely on these components:<\/p>\n\n\n\n

      Data inputs<\/h3>\n\n\n\n
        \n
      • Contact data: email, role, seniority, phone (when available)<\/li>\n
      • Account data: company name, domain, industry, employee count, location<\/li>\n
      • Behavioral data: site visits, asset downloads, webinar attendance, demo intent<\/li>\n
      • Source and campaign metadata: channel, offer, audience, targeting criteria<\/li>\n
      • Compliance signals: opt-in status, region-specific requirements<\/li>\n<\/ul>\n\n\n\n

        Processes and governance<\/h3>\n\n\n\n
          \n
        • Qualification rubric:<\/strong> written definitions of what qualifies vs becomes a Disqualified Lead<\/strong><\/li>\n
        • Reason codes:<\/strong> standardized categories (not free-text) for analysis<\/li>\n
        • Sales\/marketing SLA:<\/strong> who can disqualify, under what conditions, and how quickly<\/li>\n
        • Audit and review cadence:<\/strong> recurring checks to prevent over-disqualification or inconsistent handling<\/li>\n<\/ul>\n\n\n\n

          Systems<\/h3>\n\n\n\n
            \n
          • CRM lifecycle stages and lead statuses<\/li>\n
          • Marketing automation lifecycle tracking<\/li>\n
          • Enrichment and deduplication processes<\/li>\n
          • Routing logic and assignment rules<\/li>\n<\/ul>\n\n\n\n

            In Demand Generation & B2B Marketing<\/strong>, these elements ensure disqualification is a learning loop\u2014not a dead end.<\/p>\n\n\n\n

            Types of Disqualified Lead<\/h2>\n\n\n\n

            While there isn\u2019t a single universal taxonomy, most Disqualified Lead<\/strong> decisions fall into practical categories. The most useful distinctions are based on why<\/em> the lead cannot progress.<\/p>\n\n\n\n

            1) Fit-based disqualification (ICP mismatch)<\/h3>\n\n\n\n
              \n
            • Company is outside target industry<\/li>\n
            • Company size is below\/above supported range<\/li>\n
            • Region is not served<\/li>\n
            • The lead is from a personal email domain when policy requires business domains<\/li>\n<\/ul>\n\n\n\n

              2) Intent or use-case mismatch<\/h3>\n\n\n\n
                \n
              • Inquiry indicates research only, not purchasing<\/li>\n
              • Use case is unsupported (e.g., asks for features you don\u2019t provide)<\/li>\n
              • Looking for a different category of solution<\/li>\n<\/ul>\n\n\n\n

                3) Timing disqualification<\/h3>\n\n\n\n
                  \n
                • Budget cycle is far out and no active project exists\nThis may be disqualified for sales follow-up but still eligible for long-term nurture, depending on your model.<\/li>\n<\/ul>\n\n\n\n

                  4) Eligibility and compliance disqualification<\/h3>\n\n\n\n
                    \n
                  • No consent where required<\/li>\n
                  • Suppression list match<\/li>\n
                  • Request to not be contacted<\/li>\n<\/ul>\n\n\n\n

                    5) Data quality disqualification<\/h3>\n\n\n\n
                      \n
                    • Fake or incomplete information<\/li>\n
                    • Invalid email\/phone<\/li>\n
                    • Duplicate record that should not be routed again<\/li>\n<\/ul>\n\n\n\n

                      6) Risk-based disqualification<\/h3>\n\n\n\n
                        \n
                      • Competitor or reseller outside your program<\/li>\n
                      • Security concerns, suspicious submissions, or spam patterns<\/li>\n<\/ul>\n\n\n\n

                        Clear type definitions make Demand Generation & B2B Marketing<\/strong> decisions defensible and measurable.<\/p>\n\n\n\n

                        Real-World Examples of Disqualified Lead<\/h2>\n\n\n\n

                        Example 1: High-volume content syndication with poor fit<\/h3>\n\n\n\n

                        A SaaS company runs a lead-gen program and receives 2,000 leads. Enrichment shows 55% are from companies under 10 employees, while the product targets mid-market and enterprise. Marketing marks those as Disqualified Lead<\/strong> (fit-based) with a reason code. Outcome: budgets shift to account-targeted programs, improving pipeline per dollar in Demand Generation & B2B Marketing<\/strong>.<\/p>\n\n\n\n

                        Example 2: Demo request from an unsupported geography<\/h3>\n\n\n\n

                        A prospect requests a demo, but the company only sells in North America due to legal and service constraints. The lead is set to Disqualified Lead<\/strong> (eligibility-based) and placed into a segment for future expansion announcements. Outcome: sales avoids wasted cycles; marketing maintains a clean list aligned to active coverage.<\/p>\n\n\n\n

                        Example 3: Student inquiries inflating \u201cconversion rate\u201d<\/h3>\n\n\n\n

                        A cybersecurity firm offers an educational webinar. Many attendees are students using university emails. They engage heavily but will not buy. The team creates a rule: \u201ceducation domains + student job titles\u201d become Disqualified Lead<\/strong> (intent mismatch) while still being allowed to receive educational newsletters. Outcome: sales reporting becomes realistic and Demand Generation & B2B Marketing<\/strong> attribution stops over-crediting the webinar for revenue.<\/p>\n\n\n\n

                        Benefits of Using Disqualified Lead<\/h2>\n\n\n\n

                        Used properly, Disqualified Lead<\/strong> management creates measurable improvements:<\/p>\n\n\n\n

                          \n
                        • Higher sales productivity:<\/strong> reps spend more time with viable accounts instead of chasing dead ends.<\/li>\n
                        • Lower cost per qualified lead:<\/strong> fewer wasted touches reduce operational cost and improve efficiency.<\/li>\n
                        • Better customer and audience experience:<\/strong> people who shouldn\u2019t be contacted aren\u2019t repeatedly pinged, which protects brand trust.<\/li>\n
                        • Cleaner analytics:<\/strong> disqualification reasons reveal channel problems (targeting, offers, forms) so Demand Generation & B2B Marketing<\/strong> can optimize with evidence.<\/li>\n
                        • Faster pipeline velocity:<\/strong> routing and prioritization become sharper when noise is controlled.<\/li>\n<\/ul>\n\n\n\n

                          Challenges of Disqualified Lead<\/h2>\n\n\n\n

                          A Disqualified Lead<\/strong> status also introduces risks if mishandled:<\/p>\n\n\n\n

                            \n
                          • False disqualification:<\/strong> overly strict rules can remove legitimate buyers (especially if data is incomplete or job titles are ambiguous).<\/li>\n
                          • Inconsistent criteria:<\/strong> if different teams apply different definitions, reporting becomes unreliable and trust breaks down.<\/li>\n
                          • Poor reason-code hygiene:<\/strong> too many categories, unclear definitions, or heavy \u201cOther\u201d usage makes analysis useless.<\/li>\n
                          • Data limitations:<\/strong> firmographic fields may be missing or wrong; enrichment isn\u2019t perfect; intent signals can be misread.<\/li>\n
                          • Misaligned incentives:<\/strong> marketing may avoid disqualifying to protect lead-volume KPIs, while sales may disqualify aggressively to protect activity metrics.<\/li>\n<\/ul>\n\n\n\n

                            In Demand Generation & B2B Marketing<\/strong>, the goal is not maximizing disqualification\u2014it\u2019s maximizing correct decisions<\/em>.<\/p>\n\n\n\n

                            Best Practices for Disqualified Lead<\/h2>\n\n\n\n

                            Make disqualification criteria explicit and shared<\/h3>\n\n\n\n

                            Document the ICP, supported regions, minimum requirements, and what qualifies someone for sales outreach. Align these rules with sales leadership and rev ops so Disqualified Lead<\/strong> decisions are consistent.<\/p>\n\n\n\n

                            Use standardized reason codes (and keep them stable)<\/h3>\n\n\n\n

                            Start with 8\u201312 reason codes max. Define each with examples. Stable categories enable trend analysis across quarters.<\/p>\n\n\n\n

                            Separate \u201cnot now\u201d from \u201cnever\u201d<\/h3>\n\n\n\n

                            A lead that is early-stage may not be sales-ready but could still be valuable for nurture. Consider \u201crecycle\/nurture\u201d for timing issues, and reserve Disqualified Lead<\/strong> for true non-fit, non-eligible, or non-contactable cases.<\/p>\n\n\n\n

                            Build a feedback loop<\/h3>\n\n\n\n

                            Review disqualification reasons monthly:\n– Which sources create the most Disqualified Lead<\/strong> records?\n– Which campaigns attract the wrong audience?\n– Which form fields or validations reduce bad submissions?<\/p>\n\n\n\n

                            Audit for bias and blind spots<\/h3>\n\n\n\n

                            Check whether certain segments are being disqualified due to missing enrichment (e.g., SMB companies or international domains). In Demand Generation & B2B Marketing<\/strong>, accuracy beats convenience.<\/p>\n\n\n\n

                            Protect compliance and preference management<\/h3>\n\n\n\n

                            If the reason is consent-related, ensure downstream systems honor it. A Disqualified Lead<\/strong> should not keep reappearing due to sync issues.<\/p>\n\n\n\n

                            Tools Used for Disqualified Lead<\/h2>\n\n\n\n

                            Managing a Disqualified Lead<\/strong> is usually a cross-system workflow. Common tool categories in Demand Generation & B2B Marketing<\/strong> include:<\/p>\n\n\n\n

                              \n
                            • CRM systems:<\/strong> lifecycle stages, lead statuses, ownership, routing, and activity tracking.<\/li>\n
                            • Marketing automation platforms:<\/strong> form handling, scoring, segmentation, nurture programs, and suppression logic.<\/li>\n
                            • Data enrichment and validation:<\/strong> firmographic completion, domain matching, email verification, and deduplication support.<\/li>\n
                            • Analytics tools:<\/strong> funnel analysis, cohort trends, channel performance, and attribution modeling.<\/li>\n
                            • Ad platforms and audience tools:<\/strong> exclusion audiences (e.g., suppressing disqualified segments from retargeting when appropriate).<\/li>\n
                            • Reporting dashboards \/ BI:<\/strong> standardized views of disqualification rates, reasons, and their impact on pipeline.<\/li>\n<\/ul>\n\n\n\n

                              The best stack is the one that keeps the Disqualified Lead<\/strong> decision visible, measurable, and enforceable across touchpoints.<\/p>\n\n\n\n

                              Metrics Related to Disqualified Lead<\/h2>\n\n\n\n

                              To make Disqualified Lead<\/strong> actionable, track it like a first-class lifecycle outcome:<\/p>\n\n\n\n

                                \n
                              • Disqualification rate:<\/strong> disqualified leads \u00f7 total captured leads (overall and by channel\/campaign).<\/li>\n
                              • Top disqualification reasons:<\/strong> distribution of reason codes to identify systemic targeting or messaging issues.<\/li>\n
                              • MQL-to-SQL conversion rate (or equivalent):<\/strong> improves when non-fit leads are filtered earlier.<\/li>\n
                              • Cost per qualified lead \/ cost per SQL:<\/strong> a more honest efficiency metric than cost per lead.<\/li>\n
                              • Sales acceptance rate:<\/strong> how often sales accepts routed leads; high disqualification after routing can indicate poor gating.<\/li>\n
                              • Time-to-disposition:<\/strong> how quickly leads are qualified, recycled, or marked Disqualified Lead<\/strong>.<\/li>\n
                              • Reactivation rate (if allowed):<\/strong> percentage of disqualified leads later corrected (useful for spotting false disqualification).<\/li>\n
                              • Pipeline per lead source:<\/strong> to confirm that reducing low-quality volume increases net pipeline contribution in Demand Generation & B2B Marketing<\/strong>.<\/li>\n<\/ul>\n\n\n\n

                                Future Trends of Disqualified Lead<\/h2>\n\n\n\n

                                Several changes are shaping how Disqualified Lead<\/strong> is handled in Demand Generation & B2B Marketing<\/strong>:<\/p>\n\n\n\n

                                  \n
                                • AI-assisted qualification:<\/strong> machine learning models can predict likelihood to buy using multi-touch behavior, but governance is critical to avoid opaque disqualification.<\/li>\n
                                • Richer intent signals:<\/strong> first-party engagement, product-led signals (where applicable), and aggregated intent can reduce premature Disqualified Lead<\/strong> decisions.<\/li>\n
                                • Automation with human override:<\/strong> more teams will automate obvious disqualification (invalid emails, unsupported regions) while keeping edge cases for manual review.<\/li>\n
                                • Privacy and data minimization:<\/strong> reduced third-party data access will increase reliance on first-party and declared data, affecting confidence in fit decisions.<\/li>\n
                                • Personalization and \u201cright-to-nurture\u201d:<\/strong> even when sales disqualifies, marketing may deliver tailored education\u2014without misrepresenting pipeline impact.<\/li>\n<\/ul>\n\n\n\n

                                  The evolution is toward faster, more accurate decisions<\/em> and more transparent measurement across Demand Generation & B2B Marketing<\/strong> programs.<\/p>\n\n\n\n

                                  Disqualified Lead vs Related Terms<\/h2>\n\n\n\n

                                  Disqualified Lead vs Unqualified Lead<\/h3>\n\n\n\n

                                  An unqualified lead<\/strong> is simply not yet evaluated or not meeting qualification thresholds. A Disqualified Lead<\/strong> is a specific decision outcome: the lead has been assessed and intentionally removed from active pursuit.<\/p>\n\n\n\n

                                  Disqualified Lead vs Rejected Lead<\/h3>\n\n\n\n

                                  A rejected lead<\/strong> often means sales reviewed a routed lead and rejected it (e.g., \u201cnot a real project\u201d). A Disqualified Lead<\/strong> may occur earlier (marketing ops rules) or later (sales review). The difference is usually who<\/em> made the decision and at what stage.<\/p>\n\n\n\n

                                  Disqualified Lead vs Recycled Lead<\/h3>\n\n\n\n

                                  A recycled lead<\/strong> is moved back into nurture because timing or readiness isn\u2019t right, but the person\/account still fits. A Disqualified Lead<\/strong> typically indicates non-fit, ineligibility, or non-contactability\u2014often a harder stop.<\/p>\n\n\n\n

                                  Who Should Learn Disqualified Lead<\/h2>\n\n\n\n
                                    \n
                                  • Marketers:<\/strong> to improve targeting, channel strategy, and lifecycle governance in Demand Generation & B2B Marketing<\/strong>.<\/li>\n
                                  • Analysts:<\/strong> to ensure funnel reporting reflects reality and to diagnose where lead quality breaks down.<\/li>\n
                                  • Agencies:<\/strong> to set correct success metrics and avoid optimizing purely for volume.<\/li>\n
                                  • Business owners and founders:<\/strong> to understand why \u201cmore leads\u201d doesn\u2019t always mean \u201cmore revenue,\u201d and to protect sales capacity.<\/li>\n
                                  • Developers and marketing ops:<\/strong> to implement routing logic, validation, consent handling, and data synchronization that prevents disqualified leads from resurfacing.<\/li>\n<\/ul>\n\n\n\n

                                    Summary of Disqualified Lead<\/h2>\n\n\n\n

                                    A Disqualified Lead<\/strong> is a lead that has been evaluated and determined to be non-viable for sales follow-up based on fit, intent, eligibility, compliance, or data quality. It matters because Demand Generation & B2B Marketing<\/strong> performance depends on funnel efficiency, trustworthy reporting, and strong sales alignment. When handled with clear rules, reason codes, and consistent governance, Disqualified Lead<\/strong> management strengthens pipeline quality and supports scalable Demand Generation & B2B Marketing<\/strong> operations.<\/p>\n\n\n\n

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

                                    1) What is a Disqualified Lead?<\/h3>\n\n\n\n

                                    A Disqualified Lead<\/strong> is a lead that has been reviewed and intentionally removed from active pursuit because it doesn\u2019t meet your qualification criteria (fit, intent, eligibility, consent, or data integrity).<\/p>\n\n\n\n

                                    2) Is a Disqualified Lead the same as \u201cnot interested\u201d?<\/h3>\n\n\n\n

                                    Not necessarily. \u201cNot interested\u201d is a response that may be temporary. A Disqualified Lead<\/strong> usually reflects a structured rule (e.g., unsupported region, competitor, or non-ICP) and is often more definitive.<\/p>\n\n\n\n

                                    3) How does Disqualified Lead handling improve Demand Generation & B2B Marketing results?<\/h3>\n\n\n\n

                                    It improves Demand Generation & B2B Marketing<\/strong> by reducing wasted follow-up, increasing sales focus on viable opportunities, and making channel and campaign reporting more accurate so you can optimize budgets and targeting.<\/p>\n\n\n\n

                                    4) Should disqualified leads be deleted from the CRM?<\/h3>\n\n\n\n

                                    Usually no. Keep them with a clear status and reason code for analytics, suppression, and auditing\u2014unless privacy policies or consent requirements require deletion.<\/p>\n\n\n\n

                                    5) What are the most common reasons a lead is disqualified?<\/h3>\n\n\n\n

                                    Common reasons include ICP mismatch (size\/industry\/region), competitor or partner mismatch, invalid or duplicate data, missing consent, and requests that indicate an unsupported use case.<\/p>\n\n\n\n

                                    6) Can a disqualified lead become qualified later?<\/h3>\n\n\n\n

                                    Sometimes\u2014especially if the disqualification was due to incorrect data or a changed business situation. If reactivation is allowed, track it explicitly to measure false disqualification and improve rules.<\/p>\n\n\n\n

                                    7) Who should be allowed to mark a lead as disqualified?<\/h3>\n\n\n\n

                                    Define this in your governance. Many teams allow marketing ops to auto-disqualify obvious cases (invalid data, unsupported region) while sales can disqualify after conversation\u2014both using the same standardized reason codes.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                    In **Demand Generation & B2B Marketing**, not every inbound form fill, event badge scan, or demo request deserves equal follow-up. A **Disqualified Lead** is a lead that has been evaluated and intentionally removed from the active pipeline because it does not meet your agreed criteria to pursue\u2014now or ever.<\/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":[1891],"tags":[],"class_list":["post-7431","post","type-post","status-publish","format-standard","hentry","category-demand-generation-b2b-marketing"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/7431","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=7431"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/7431\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=7431"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=7431"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=7431"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}