{"id":7728,"date":"2026-03-25T00:06:54","date_gmt":"2026-03-25T00:06:54","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/lead-grading\/"},"modified":"2026-03-25T00:06:54","modified_gmt":"2026-03-25T00:06:54","slug":"lead-grading","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/lead-grading\/","title":{"rendered":"Lead Grading: What It Is, Key Features, Benefits, Use Cases, and How It Fits in CRM Marketing"},"content":{"rendered":"\n

Lead Grading is the discipline of evaluating how well a lead matches your ideal customer profile so you can prioritize follow-up, tailor messaging, and protect sales time for the best-fit opportunities. In Direct & Retention Marketing<\/strong>, it helps teams decide which prospects should receive high-touch outreach versus automated nurturing, and which existing customers are most likely to expand or renew.<\/p>\n\n\n\n

Within CRM Marketing<\/strong>, Lead Grading turns raw contact records into actionable priorities. Instead of treating every lead the same, you assign a \u201cfit\u201d assessment that influences lifecycle stages, routing rules, and personalization\u2014making your campaigns more relevant and your revenue process more predictable.<\/p>\n\n\n\n

1) What Is Lead Grading?<\/h2>\n\n\n\n

Lead Grading<\/strong> is a structured way to rate the quality of fit<\/em> between a lead and your business. It typically uses firmographic, demographic, and account attributes\u2014such as company size, industry, job role, location, or tech stack\u2014to determine whether a lead looks like someone your product or service is built for.<\/p>\n\n\n\n

The core concept is simple: interest is not the same as fit<\/strong>. A lead might download every guide you publish, but if they\u2019re outside your target market, the probability of closing (or retaining) may still be low. Lead Grading complements engagement-based evaluation by adding a business lens to your decision-making.<\/p>\n\n\n\n

In Direct & Retention Marketing<\/strong>, Lead Grading helps align acquisition and retention motions. For acquisition, it prioritizes best-fit prospects. For retention, it can be adapted to identify best-fit expansion leads inside existing accounts (for example, new departments, subsidiaries, or higher-tier use cases).<\/p>\n\n\n\n

Inside CRM Marketing<\/strong>, Lead Grading becomes a shared language across marketing, sales, and customer success\u2014so everyone agrees on what \u201cgood\u201d looks like and can measure performance consistently.<\/p>\n\n\n\n

2) Why Lead Grading Matters in Direct & Retention Marketing<\/h2>\n\n\n\n

In Direct & Retention Marketing<\/strong>, you\u2019re often balancing speed (respond quickly) with precision (respond to the right people). Lead Grading<\/strong> improves that balance by ensuring your fastest responses go to the leads most likely to become valuable customers.<\/p>\n\n\n\n

Strategically, it strengthens:<\/p>\n\n\n\n

    \n
  • Pipeline efficiency:<\/strong> Sales and success teams spend more time on high-fit conversations.<\/li>\n
  • Message relevance:<\/strong> Nurture streams can vary by fit tier, not just by behavior.<\/li>\n
  • Channel optimization:<\/strong> You can compare lead sources by fit quality<\/em>, not only by volume.<\/li>\n
  • Forecast accuracy:<\/strong> Better-fit leads generally progress more predictably through the funnel.<\/li>\n<\/ul>\n\n\n\n

    As a competitive advantage, Lead Grading helps you \u201cwin on process.\u201d Two companies can run similar campaigns, but the one that identifies and acts on high-fit leads faster typically converts more and wastes less.<\/p>\n\n\n\n

    3) How Lead Grading Works<\/h2>\n\n\n\n

    While implementations vary, Lead Grading<\/strong> usually works as a practical workflow that connects data to actions:<\/p>\n\n\n\n

      \n
    1. \n

      Input \/ Trigger<\/strong>\n A lead enters your database through a form fill, event registration, inbound inquiry, referral, partner list, or outbound prospecting import. In CRM Marketing<\/strong>, this is where you capture key attributes (industry, role, company size, region, etc.).<\/p>\n<\/li>\n

    2. \n

      Analysis \/ Processing<\/strong>\n The system evaluates lead attributes against your Ideal Customer Profile (ICP). This can be rule-based (if\/then conditions) or model-driven (statistical or machine learning). The output is a grade, tier, or fit score.<\/p>\n<\/li>\n

    3. \n

      Execution \/ Application<\/strong>\n The grade triggers actions in Direct & Retention Marketing<\/strong> and sales workflows: routing to the right rep, enrolling in the right nurture track, prompting enrichment, or flagging for manual review.<\/p>\n<\/li>\n

    4. \n

      Output \/ Outcome<\/strong>\n You get clearer prioritization: high-grade leads receive fast, tailored follow-up; low-grade leads receive cost-effective nurturing or are disqualified. Over time, you measure conversion rates and refine rules to improve performance.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

      The most effective Lead Grading programs are iterative. They evolve as your product, pricing, and target market evolve.<\/p>\n\n\n\n

      4) Key Components of Lead Grading<\/h2>\n\n\n\n

      Strong Lead Grading<\/strong> depends on a few foundational elements:<\/p>\n\n\n\n

      Data inputs (fit attributes)<\/h3>\n\n\n\n

      Common inputs include:\n– Company size (employees, revenue)\n– Industry or vertical\n– Geography and serviceability\n– Job role, seniority, and department\n– Use case indicators (e.g., \u201clooking for enterprise security\u201d)\n– Existing customer\/account match (for expansion in Direct & Retention Marketing<\/strong>)<\/p>\n\n\n\n

      Systems and processes<\/h3>\n\n\n\n
        \n
      • A CRM as the system of record (core to CRM Marketing<\/strong>)<\/li>\n
      • Marketing automation to apply grades and trigger journeys<\/li>\n
      • Data enrichment and normalization to reduce \u201cunknown\u201d fields<\/li>\n
      • Governance to define who owns ICP definitions and grade changes<\/li>\n<\/ul>\n\n\n\n

        Decision logic<\/h3>\n\n\n\n
          \n
        • Clear thresholds for A\/B\/C (or Tier 1\/2\/3) fit<\/li>\n
        • Handling rules for missing data<\/li>\n
        • \u201cOverride\u201d logic for special cases (strategic accounts, partners, students)<\/li>\n<\/ul>\n\n\n\n

          Team responsibilities<\/h3>\n\n\n\n

          Lead Grading is cross-functional by nature:\n– Marketing owns segmentation strategy and nurture design\n– Sales owns acceptance criteria and feedback loops\n– RevOps\/analytics owns data quality, reporting, and routing logic\n– Customer success contributes retention and expansion fit signals in Direct & Retention Marketing<\/strong><\/p>\n\n\n\n

          5) Types of Lead Grading<\/h2>\n\n\n\n

          There isn\u2019t one universal standard, but these are the most common approaches and distinctions used in CRM Marketing<\/strong>:<\/p>\n\n\n\n

          Explicit (attribute-based) grading<\/h3>\n\n\n\n

          This is the classic Lead Grading method: grades are driven by known attributes like industry, size, and role. It\u2019s transparent and easy to govern.<\/p>\n\n\n\n

          Account-level vs lead-level grading<\/h3>\n\n\n\n
            \n
          • Lead-level grading<\/strong> rates the individual contact (job title, department).<\/li>\n
          • Account-level grading<\/strong> rates the company (ICP match).\nIn many B2B programs, account-level fit is the more stable signal, especially for Direct & Retention Marketing<\/strong> where multiple stakeholders exist.<\/li>\n<\/ul>\n\n\n\n

            Rule-based vs predictive grading<\/h3>\n\n\n\n
              \n
            • Rule-based grading<\/strong> uses clear if\/then logic. Great for control and explainability.<\/li>\n
            • Predictive grading<\/strong> uses historical conversion and revenue data to estimate fit. Powerful, but it needs quality data and careful monitoring.<\/li>\n<\/ul>\n\n\n\n

              Static vs dynamic grading<\/h3>\n\n\n\n
                \n
              • Static<\/strong>: grade is assigned once and rarely changes.<\/li>\n
              • Dynamic<\/strong>: grade updates as new data arrives (enrichment, product signals, account changes). Dynamic Lead Grading is especially useful for retention and expansion.<\/li>\n<\/ul>\n\n\n\n

                6) Real-World Examples of Lead Grading<\/h2>\n\n\n\n

                Example 1: B2B SaaS inbound leads<\/h3>\n\n\n\n

                A SaaS company targets mid-market operations teams in specific industries. In CRM Marketing<\/strong>, every new inbound lead is graded using company size and industry:\n– Grade A: 200\u20132,000 employees + target industry + operations leadership role\n– Grade B: target industry but smaller company\n– Grade C: non-target industry or student email domain\nIn Direct & Retention Marketing<\/strong>, Grade A leads get fast SDR follow-up and a short, high-intent email sequence. Grade B enters a longer nurture with webinars and case studies. Grade C is kept for low-cost education campaigns.<\/p>\n\n\n\n

                Example 2: E-commerce retention and VIP expansion<\/h3>\n\n\n\n

                An e-commerce brand adapts Lead Grading concepts to retention by grading customers for expansion potential:\n– Grade A: high lifetime value + repeat purchase cadence + premium category interest\n– Grade B: moderate value, seasonal behavior\n– Grade C: discount-driven, high return rate\nThis supports Direct & Retention Marketing<\/strong> by prioritizing early access offers, loyalty perks, and win-back efforts. In CRM Marketing<\/strong>, segments flow into email\/SMS journeys with different incentives and frequency caps.<\/p>\n\n\n\n

                Example 3: Agency lead intake and qualification<\/h3>\n\n\n\n

                A marketing agency uses Lead Grading to reduce sales time wasted on poor-fit inquiries:\n– Grade A: meets budget minimum + target service need + decision-maker role\n– Grade B: unclear budget but strong need\n– Grade C: no budget, student, or outside geography\nGrade A gets same-day consultation scheduling. Grade B gets a \u201cbudget discovery\u201d sequence. Grade C receives educational resources. Over time, this improves close rate and keeps Direct & Retention Marketing<\/strong> spend focused on leads with real revenue potential.<\/p>\n\n\n\n

                7) Benefits of Using Lead Grading<\/h2>\n\n\n\n

                When done well, Lead Grading<\/strong> delivers measurable improvements:<\/p>\n\n\n\n

                  \n
                • Higher conversion rates:<\/strong> High-fit leads progress faster when messaging and sales attention match their needs.<\/li>\n
                • Lower acquisition costs:<\/strong> You stop over-investing in leads that rarely convert, improving channel ROI in Direct & Retention Marketing<\/strong>.<\/li>\n
                • Faster response where it matters:<\/strong> Speed-to-lead is most valuable when applied to high-fit inquiries.<\/li>\n
                • Cleaner funnels and reporting:<\/strong> CRM Marketing<\/strong> attribution and lifecycle metrics become more meaningful when lead quality is consistently labeled.<\/li>\n
                • Better customer experience:<\/strong> Low-fit leads aren\u2019t pressured into mismatched sales conversations; they receive appropriate education instead.<\/li>\n<\/ul>\n\n\n\n

                  8) Challenges of Lead Grading<\/h2>\n\n\n\n

                  Lead Grading<\/strong> can fail when it\u2019s built on weak data or misaligned incentives. Common challenges include:<\/p>\n\n\n\n

                    \n
                  • Incomplete or inaccurate data:<\/strong> Missing company size, ambiguous job titles, or inconsistent industry fields can distort grades.<\/li>\n
                  • Overly rigid ICP definitions:<\/strong> Markets shift; if your grading logic doesn\u2019t, you may reject emerging segments that could convert well.<\/li>\n
                  • Confusing grading with engagement:<\/strong> Fit grading doesn\u2019t replace behavior signals. In CRM Marketing<\/strong>, you usually need both to prioritize properly.<\/li>\n
                  • Gaming and bias:<\/strong> If teams are judged on volume, there may be pressure to inflate grades. Governance and auditing matter.<\/li>\n
                  • Measurement gaps:<\/strong> If you don\u2019t track downstream outcomes (opportunities, revenue, retention), you can\u2019t validate whether grades predict value.<\/li>\n<\/ul>\n\n\n\n

                    9) Best Practices for Lead Grading<\/h2>\n\n\n\n

                    To build a durable Lead Grading program:<\/p>\n\n\n\n

                      \n
                    1. \n

                      Define \u201cfit\u201d using closed-won and retained customers<\/strong>\n Start from reality: analyze which attributes correlate with revenue, renewal, and expansion in Direct & Retention Marketing<\/strong>.<\/p>\n<\/li>\n

                    2. \n

                      Keep the first version simple<\/strong>\n Use a small set of high-signal fields (industry, company size, role, region). Complexity can come later.<\/p>\n<\/li>\n

                    3. \n

                      Separate fit from interest<\/strong>\n Maintain Lead Grading (fit) alongside behavioral scoring (intent). Combining them without clarity makes prioritization inconsistent.<\/p>\n<\/li>\n

                    4. \n

                      Create clear action rules per grade<\/strong>\n Each grade should map to routing, follow-up time, and nurture approach inside CRM Marketing<\/strong>.<\/p>\n<\/li>\n

                    5. \n

                      Audit outcomes monthly or quarterly<\/strong>\n Compare grades to conversion rate, pipeline created, revenue, and retention. Adjust thresholds when drift appears.<\/p>\n<\/li>\n

                    6. \n

                      Plan for missing data<\/strong>\n Decide how to grade unknowns: hold for enrichment, default to a middle tier, or prompt progressive profiling.<\/p>\n<\/li>\n

                    7. \n

                      Document and govern changes<\/strong>\n Version your logic, keep change logs, and align stakeholders. This prevents silent shifts that break reporting.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                      10) Tools Used for Lead Grading<\/h2>\n\n\n\n

                      Lead Grading<\/strong> is typically operationalized through a stack of systems rather than a single tool:<\/p>\n\n\n\n

                        \n
                      • CRM systems:<\/strong> Store lead\/account fields, lifecycle stages, ownership, and routing rules (central to CRM Marketing<\/strong>).<\/li>\n
                      • Marketing automation platforms:<\/strong> Apply grade logic, trigger nurture journeys, and manage segmentation used in Direct & Retention Marketing<\/strong>.<\/li>\n
                      • Analytics tools:<\/strong> Validate which attributes predict conversion, revenue, and retention; support cohort analysis and funnel reporting.<\/li>\n
                      • Data enrichment tools:<\/strong> Append firmographics, standardize industries, and reduce \u201cunknown\u201d values.<\/li>\n
                      • Reporting dashboards \/ BI:<\/strong> Monitor grade distribution, performance by grade, and downstream outcomes.<\/li>\n
                      • Ad platforms and audience managers:<\/strong> Use fit tiers to build exclusion lists, lookalike audiences, and retargeting segments for Direct & Retention Marketing<\/strong>.<\/li>\n<\/ul>\n\n\n\n

                        The key is integration: Lead Grading only creates value when the grade reliably flows into routing, messaging, and measurement.<\/p>\n\n\n\n

                        11) Metrics Related to Lead Grading<\/h2>\n\n\n\n

                        To assess whether Lead Grading<\/strong> is working, track both quality and business impact:<\/p>\n\n\n\n

                        Quality and distribution metrics<\/h3>\n\n\n\n
                          \n
                        • % of leads with a grade assigned<\/li>\n
                        • Grade distribution over time (A\/B\/C mix)<\/li>\n
                        • Data completeness rate for key fit fields<\/li>\n
                        • Regrade rate (how often grades change due to new data)<\/li>\n<\/ul>\n\n\n\n

                          Funnel and revenue metrics (by grade)<\/h3>\n\n\n\n
                            \n
                          • Lead-to-opportunity conversion rate<\/li>\n
                          • Opportunity-to-close rate<\/li>\n
                          • Pipeline created per 100 leads<\/li>\n
                          • Revenue per lead and revenue per opportunity<\/li>\n
                          • Time-to-first-response and time-to-qualification (especially in Direct & Retention Marketing<\/strong>)<\/li>\n<\/ul>\n\n\n\n

                            Retention and expansion metrics (where applicable)<\/h3>\n\n\n\n
                              \n
                            • Renewal rate and churn rate by original grade or account fit tier<\/li>\n
                            • Expansion conversion rate for high-fit customer segments<\/li>\n
                            • Customer lifetime value by fit tier (use carefully; it can be influenced by pricing and tenure)<\/li>\n<\/ul>\n\n\n\n

                              In CRM Marketing<\/strong>, always compare performance by grade across channels to avoid over-crediting one source that simply produces more low-fit volume.<\/p>\n\n\n\n

                              12) Future Trends of Lead Grading<\/h2>\n\n\n\n

                              Lead Grading<\/strong> is evolving as data, automation, and privacy expectations change:<\/p>\n\n\n\n

                                \n
                              • More automation, more governance:<\/strong> Automated grading will increase, but so will the need for explainability and auditability.<\/li>\n
                              • Account-centric grading growth:<\/strong> As buying committees expand, account fit signals will matter more than individual lead attributes in Direct & Retention Marketing<\/strong>.<\/li>\n
                              • Tighter alignment with personalization:<\/strong> Fit tiers will increasingly shape website experiences, email content blocks, and sales sequences inside CRM Marketing<\/strong>.<\/li>\n
                              • Privacy-aware data strategies:<\/strong> With stricter privacy standards, teams will rely more on first-party data, progressive profiling, and clean internal data rather than excessive third-party fields.<\/li>\n
                              • Model-assisted, human-controlled systems:<\/strong> AI can suggest weightings or segments, but high-performing teams will keep humans in the loop to prevent drift and unintended bias.<\/li>\n<\/ul>\n\n\n\n

                                13) Lead Grading vs Related Terms<\/h2>\n\n\n\n

                                Lead Grading vs Lead Scoring<\/h3>\n\n\n\n
                                  \n
                                • Lead Grading<\/strong> measures fit<\/em> (who they are).<\/li>\n
                                • Lead scoring<\/strong> usually measures interest\/intent<\/em> (what they do).\nIn mature CRM Marketing<\/strong>, you use both: a high-fit, high-intent lead is a priority; a high-intent but low-fit lead may be nurtured or disqualified.<\/li>\n<\/ul>\n\n\n\n

                                  Lead Grading vs Lead Qualification<\/h3>\n\n\n\n
                                    \n
                                  • Lead Grading<\/strong> is a structured, repeatable evaluation method.<\/li>\n
                                  • Lead qualification<\/strong> is the broader decision of whether a lead should enter a sales process, often including budget, timeline, and needs discovery.\nLead Grading supports qualification by giving an initial fit hypothesis.<\/li>\n<\/ul>\n\n\n\n

                                    Lead Grading vs Segmentation<\/h3>\n\n\n\n
                                      \n
                                    • Segmentation<\/strong> groups contacts for messaging and targeting.<\/li>\n
                                    • Lead Grading<\/strong> is a specific segmentation focused on commercial fit<\/em> and prioritization.\nIn Direct & Retention Marketing<\/strong>, grading often becomes a core segmentation axis used across email, SMS, paid media, and sales outreach.<\/li>\n<\/ul>\n\n\n\n

                                      14) Who Should Learn Lead Grading<\/h2>\n\n\n\n
                                        \n
                                      • Marketers:<\/strong> To align acquisition and nurture programs with true revenue potential in Direct & Retention Marketing<\/strong>.<\/li>\n
                                      • Analysts and RevOps:<\/strong> To validate fit signals, maintain data quality, and connect grades to outcomes in CRM Marketing<\/strong>.<\/li>\n
                                      • Agencies:<\/strong> To qualify inbound demand, reduce wasted effort, and report on lead quality beyond vanity metrics.<\/li>\n
                                      • Business owners and founders:<\/strong> To focus limited sales capacity on the customers most likely to succeed and stay.<\/li>\n
                                      • Developers and technical teams:<\/strong> To implement reliable field mapping, data pipelines, and automation logic that makes Lead Grading consistent at scale.<\/li>\n<\/ul>\n\n\n\n

                                        15) Summary of Lead Grading<\/h2>\n\n\n\n

                                        Lead Grading<\/strong> is a method for rating how well a lead matches your ideal customer profile so teams can prioritize outreach, personalize journeys, and improve funnel efficiency. It matters because Direct & Retention Marketing<\/strong> performs best when speed and spend are directed toward high-fit audiences. Within CRM Marketing<\/strong>, Lead Grading provides the structure needed to route leads, power segmentation, and measure performance by quality\u2014not just by volume. Done well, it becomes a durable system that improves conversion, retention, and resource allocation.<\/p>\n\n\n\n

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

                                        1) What is Lead Grading and how is it different from scoring?<\/h3>\n\n\n\n

                                        Lead Grading evaluates fit<\/strong> (attributes like company size, industry, and role). Scoring typically evaluates engagement or intent<\/strong> (opens, clicks, page views, demo requests). Many teams use both to prioritize accurately.<\/p>\n\n\n\n

                                        2) How do I choose the right attributes for Lead Grading?<\/h3>\n\n\n\n

                                        Start with closed-won deals and successful retained customers. Identify shared attributes that correlate with revenue and retention, then use a small set of fields you can reliably collect in CRM Marketing<\/strong>.<\/p>\n\n\n\n

                                        3) Can Lead Grading be used for retention, not just acquisition?<\/h3>\n\n\n\n

                                        Yes. In Direct & Retention Marketing<\/strong>, you can apply grading concepts to expansion and renewal by grading accounts or customers for fit with higher-tier plans, add-ons, or repeat purchase behavior.<\/p>\n\n\n\n

                                        4) What should each grade actually do<\/em> in the workflow?<\/h3>\n\n\n\n

                                        Each grade should map to an action: routing rules, response time targets, nurture depth, and offer strategy. If grades don\u2019t change what happens next, Lead Grading becomes a label with no operational value.<\/p>\n\n\n\n

                                        5) How does Lead Grading improve CRM Marketing reporting?<\/h3>\n\n\n\n

                                        It lets you report outcomes by quality tier\u2014conversion rate, pipeline, revenue, and retention\u2014so you can distinguish \u201clots of leads\u201d from \u201clots of good leads\u201d and optimize accordingly.<\/p>\n\n\n\n

                                        6) How often should we review and update our grading rules?<\/h3>\n\n\n\n

                                        Review at least quarterly, or whenever you change pricing, target industries, territories, or product packaging. In fast-moving markets, monthly checks are helpful to ensure Lead Grading stays aligned with reality.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                        Lead Grading is the discipline of evaluating how well a lead matches your ideal customer profile so you can prioritize follow-up, tailor messaging, and protect sales time for the best-fit opportunities. In **Direct & Retention Marketing**, it helps teams decide which prospects should receive high-touch outreach versus automated nurturing, and which existing customers are most likely to expand or renew.<\/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":[1893],"tags":[],"class_list":["post-7728","post","type-post","status-publish","format-standard","hentry","category-crm-marketing"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/7728","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=7728"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/7728\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=7728"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=7728"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=7728"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}