{"id":8181,"date":"2026-03-25T17:44:31","date_gmt":"2026-03-25T17:44:31","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/automation-budget\/"},"modified":"2026-03-25T17:44:31","modified_gmt":"2026-03-25T17:44:31","slug":"automation-budget","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/automation-budget\/","title":{"rendered":"Automation Budget: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Marketing Automation"},"content":{"rendered":"\n

Automation Budget is the planned allocation of money, time, and organizational capacity required to design, launch, operate, and improve automated customer communications across channels. In Direct & Retention Marketing<\/strong>, it\u2019s the difference between \u201cwe have automation tools\u201d and \u201cwe reliably deliver timely, relevant lifecycle messaging that grows revenue and reduces churn.\u201d<\/p>\n\n\n\n

As Marketing Automation<\/strong> expands beyond email into SMS, push, in-app, ads, CRM, and data pipelines, the real constraint is rarely ideas\u2014it\u2019s budget discipline. A well-defined Automation Budget<\/strong> helps teams prioritize the automations that create measurable impact, avoid tool sprawl, and maintain quality as programs scale.<\/p>\n\n\n\n

What Is Automation Budget?<\/h2>\n\n\n\n

Automation Budget<\/strong> is the total investment required to build and sustain automated marketing and retention programs. It includes software costs, data infrastructure, creative production, technical implementation, testing, monitoring, and ongoing optimization.<\/p>\n\n\n\n

The core concept is simple: automation is not a one-time project; it\u2019s an operating system for lifecycle marketing. In business terms, Automation Budget<\/strong> is how you fund that operating system so it reliably produces outcomes\u2014higher conversion, repeat purchase, renewal, and customer lifetime value\u2014without increasing headcount in proportion to growth.<\/p>\n\n\n\n

In Direct & Retention Marketing<\/strong>, the Automation Budget<\/strong> typically funds always-on journeys such as onboarding, post-purchase education, reactivation, replenishment reminders, and churn prevention. Inside Marketing Automation<\/strong>, it also covers the \u201chidden work\u201d that determines whether automations succeed: data quality, identity resolution, segmentation logic, experimentation, and deliverability practices.<\/p>\n\n\n\n

Why Automation Budget Matters in Direct & Retention Marketing<\/h2>\n\n\n\n

A strong Automation Budget<\/strong> is strategic because retention gains compound. Improving activation, repeat purchase rate, or renewal even slightly can outpace one-time acquisition wins\u2014especially when paid media costs rise.<\/p>\n\n\n\n

From a business value perspective, Automation Budget<\/strong> enables:\n– Consistent lifecycle coverage: fewer gaps where leads or customers \u201cgo dark.\u201d\n– Faster iteration: teams can test hypotheses instead of debating feasibility.\n– Better customer experience: relevant messaging replaces generic blasts.<\/p>\n\n\n\n

In Direct & Retention Marketing<\/strong>, competitive advantage often comes from operational excellence: the brand that reacts faster to customer signals (intent, engagement, product usage, service issues) wins. Marketing Automation<\/strong> makes that speed possible, but only if the Automation Budget<\/strong> includes the resources to implement triggers, maintain integrations, and continuously improve content and logic.<\/p>\n\n\n\n

How Automation Budget Works<\/h2>\n\n\n\n

Automation Budget<\/strong> is partly financial planning and partly capacity planning. In practice, it works through a cycle that ties investment to lifecycle outcomes:<\/p>\n\n\n\n

    \n
  1. \n

    Inputs \/ triggers<\/strong>\n – Business goals (reduce churn, increase repeat purchase, improve activation)\n – Customer signals (site events, app events, purchases, CRM updates, support tickets)\n – Channel constraints (opt-in status, deliverability, frequency caps)<\/p>\n<\/li>\n

  2. \n

    Analysis \/ planning<\/strong>\n – Identify high-impact journeys and segments\n – Estimate effort (data work, creative, QA, engineering time)\n – Define measurement (incrementality, holdouts, baseline metrics)\n – Assign ownership and governance<\/p>\n<\/li>\n

  3. \n

    Execution \/ application<\/strong>\n – Build flows in Marketing Automation<\/strong>\n – Implement tracking and data plumbing\n – Produce creative templates and message variants\n – Launch with QA, monitoring, and fallback logic<\/p>\n<\/li>\n

  4. \n

    Outputs \/ outcomes<\/strong>\n – Incremental revenue, retention lift, reduced churn\n – Efficiency gains (less manual sending, fewer ad-hoc requests)\n – Learnings that improve future automations<\/p>\n<\/li>\n<\/ol>\n\n\n\n

    A mature Automation Budget<\/strong> explicitly funds both \u201cbuild\u201d and \u201crun\u201d phases. Teams often underfund the run phase\u2014monitoring, content refresh, deliverability, and experimentation\u2014and then wonder why performance decays.<\/p>\n\n\n\n

    Key Components of Automation Budget<\/h2>\n\n\n\n

    A complete Automation Budget<\/strong> usually includes these elements:<\/p>\n\n\n\n

    Technology and infrastructure<\/h3>\n\n\n\n
      \n
    • Automation platform and messaging infrastructure (email\/SMS\/push routing)<\/li>\n
    • Data collection (events), data storage, and identity stitching<\/li>\n
    • Integrations with CRM, e-commerce, product analytics, and support systems<\/li>\n<\/ul>\n\n\n\n

      People and process<\/h3>\n\n\n\n
        \n
      • Lifecycle strategist ownership for Direct & Retention Marketing<\/strong><\/li>\n
      • Technical implementation (marketing ops, analytics engineering, or developers)<\/li>\n
      • Creative production (copy, design, modular templates)<\/li>\n
      • QA and deliverability responsibilities<\/li>\n<\/ul>\n\n\n\n

        Measurement and governance<\/h3>\n\n\n\n
          \n
        • Experimentation standards (control groups, holdouts, success thresholds)<\/li>\n
        • Documentation, naming conventions, and change management<\/li>\n
        • Consent, privacy, and preference management<\/li>\n<\/ul>\n\n\n\n

          Ongoing optimization capacity<\/h3>\n\n\n\n
            \n
          • Budget for content refresh cycles<\/li>\n
          • Time for segmentation improvements and model updates<\/li>\n
          • Monitoring for errors, broken events, or channel performance shifts<\/li>\n<\/ul>\n\n\n\n

            When these components are funded unevenly, Marketing Automation<\/strong> becomes brittle: flows exist, but they can\u2019t evolve with products, pricing, or customer behavior.<\/p>\n\n\n\n

            Types of Automation Budget<\/h2>\n\n\n\n

            There aren\u2019t universal \u201cofficial\u201d types, but in real organizations Automation Budget<\/strong> commonly falls into practical categories:<\/p>\n\n\n\n

            1) Build vs. run budget<\/h3>\n\n\n\n
              \n
            • Build:<\/strong> initial implementation, data instrumentation, template systems, journey creation<\/li>\n
            • Run:<\/strong> monitoring, deliverability, bug fixes, iteration, and reporting<\/li>\n<\/ul>\n\n\n\n

              2) Tooling vs. activation budget<\/h3>\n\n\n\n
                \n
              • Tooling:<\/strong> platform fees, data pipeline costs, dashboards<\/li>\n
              • Activation:<\/strong> creative production, experimentation, and audience research needed to make automations perform<\/li>\n<\/ul>\n\n\n\n

                3) Centralized vs. distributed budget ownership<\/h3>\n\n\n\n
                  \n
                • Centralized:<\/strong> one team funds shared Marketing Automation<\/strong> infrastructure and standards<\/li>\n
                • Distributed:<\/strong> each product line or region funds its own automations (often faster locally, riskier globally)<\/li>\n<\/ul>\n\n\n\n

                  4) Lifecycle objective buckets<\/h3>\n\n\n\n

                  In Direct & Retention Marketing<\/strong>, budgeting is often mapped to lifecycle stages:\n– Onboarding\/activation\n– Engagement\/usage growth\n– Monetization\/upsell\n– Retention\/renewal\n– Win-back\/reactivation<\/p>\n\n\n\n

                  This structure helps leaders connect Automation Budget<\/strong> to revenue drivers rather than tool line items.<\/p>\n\n\n\n

                  Real-World Examples of Automation Budget<\/h2>\n\n\n\n

                  Example 1: E-commerce cart abandonment and post-purchase journey<\/h3>\n\n\n\n

                  A retailer funds an Automation Budget<\/strong> to implement event tracking (viewed product, added to cart, purchased), build modular email templates, and create a 3-step abandonment series plus post-purchase education and review requests. In Direct & Retention Marketing<\/strong>, the value comes from capturing intent quickly and improving repeat purchase. In Marketing Automation<\/strong>, the hidden win is governance: frequency caps and suppression logic prevent over-messaging customers who convert.<\/p>\n\n\n\n

                  Example 2: B2B lead nurture with sales handoff<\/h3>\n\n\n\n

                  A SaaS company invests Automation Budget<\/strong> in CRM hygiene, lead scoring rules, and automated nurture streams that adapt by role and industry. The program includes alerting when a lead hits a threshold and a structured handoff to sales. This is Direct & Retention Marketing<\/strong> applied to pipeline, and Marketing Automation<\/strong> enables it at scale\u2014provided the budget covers ongoing scoring calibration and reporting that sales trusts.<\/p>\n\n\n\n

                  Example 3: Subscription churn prevention<\/h3>\n\n\n\n

                  A subscription business allocates Automation Budget<\/strong> to detect churn risk signals (billing failures, usage drops, negative support sentiment) and trigger personalized interventions: payment update prompts, feature education, and targeted offers. In Direct & Retention Marketing<\/strong>, this reduces involuntary churn and improves renewal rates. In Marketing Automation<\/strong>, success depends on data latency, consent management, and careful experimentation to avoid training customers to wait for discounts.<\/p>\n\n\n\n

                  Benefits of Using Automation Budget<\/h2>\n\n\n\n

                  A thoughtfully planned Automation Budget<\/strong> improves performance and operations at the same time:<\/p>\n\n\n\n

                    \n
                  • Higher lifecycle revenue:<\/strong> automated journeys convert more customers at key moments (activation, repeat purchase, renewal).<\/li>\n
                  • Efficiency gains:<\/strong> fewer manual campaigns and fewer \u201cfire drills\u201d because always-on flows handle common scenarios.<\/li>\n
                  • Better personalization:<\/strong> budget for data and segmentation enables relevance without constant manual work.<\/li>\n
                  • More reliable customer experience:<\/strong> consistent messaging, preference controls, and reduced channel fatigue.<\/li>\n
                  • Improved learning velocity:<\/strong> funding experimentation (controls, variants, reporting) turns automation into a compounding advantage.<\/li>\n<\/ul>\n\n\n\n

                    In Direct & Retention Marketing<\/strong>, these benefits show up as steadier revenue and less dependence on promotional blasts.<\/p>\n\n\n\n

                    Challenges of Automation Budget<\/h2>\n\n\n\n

                    Even well-funded teams can struggle if the Automation Budget<\/strong> is misallocated or unmanaged:<\/p>\n\n\n\n

                      \n
                    • Underestimating data work:<\/strong> event taxonomy, identity resolution, and integration maintenance often exceed initial estimates.<\/li>\n
                    • Attribution and incrementality confusion:<\/strong> automation can \u201cclaim\u201d conversions that would have happened anyway without proper tests.<\/li>\n
                    • Tool sprawl:<\/strong> adding point solutions increases complexity, cost, and failure points inside Marketing Automation<\/strong>.<\/li>\n
                    • Operational risk:<\/strong> broken triggers, duplicated sends, or incorrect segmentation can harm trust quickly in Direct & Retention Marketing<\/strong>.<\/li>\n
                    • Compliance and consent gaps:<\/strong> privacy obligations require ongoing attention, not a one-time checkbox.<\/li>\n<\/ul>\n\n\n\n

                      A realistic Automation Budget<\/strong> anticipates these risks and funds prevention, not just launches.<\/p>\n\n\n\n

                      Best Practices for Automation Budget<\/h2>\n\n\n\n

                      To make Automation Budget<\/strong> decisions that hold up over time:<\/p>\n\n\n\n

                        \n
                      1. \n

                        Start with lifecycle impact, not channels<\/strong>\n – Prioritize automations tied to activation, retention, and churn reduction in Direct & Retention Marketing<\/strong>.<\/p>\n<\/li>\n

                      2. \n

                        Fund measurement from day one<\/strong>\n – Require baselines, control groups where feasible, and a plan for incrementality before building.<\/p>\n<\/li>\n

                      3. \n

                        Treat data as a product<\/strong>\n – Maintain event definitions, QA routines, and data ownership so Marketing Automation<\/strong> doesn\u2019t degrade silently.<\/p>\n<\/li>\n

                      4. \n

                        Create modular creative systems<\/strong>\n – Invest in reusable templates, content blocks, and tone guidelines to reduce per-journey production cost.<\/p>\n<\/li>\n

                      5. \n

                        Allocate run-rate capacity<\/strong>\n – Reserve budget for monitoring, deliverability, and quarterly refresh cycles; automation performance decays if neglected.<\/p>\n<\/li>\n

                      6. \n

                        Use a portfolio approach<\/strong>\n – Mix \u201cproven\u201d flows (onboarding, abandoned cart) with a smaller slice for experimentation and innovation.<\/p>\n<\/li>\n

                      7. \n

                        Document governance<\/strong>\n – Define who can launch, pause, edit, and approve; include naming conventions, QA checklists, and rollback plans.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                        These practices make Automation Budget<\/strong> a lever for scale rather than an annual argument about tool costs.<\/p>\n\n\n\n

                        Tools Used for Automation Budget<\/h2>\n\n\n\n

                        Automation Budget<\/strong> isn\u2019t a single tool\u2014it\u2019s managed across systems that support Direct & Retention Marketing<\/strong> and Marketing Automation<\/strong>:<\/p>\n\n\n\n

                          \n
                        • Automation platforms:<\/strong> for journeys, triggers, segmentation, message orchestration, and frequency controls.<\/li>\n
                        • CRM systems:<\/strong> for customer profiles, lifecycle stages, sales activity, and preference management.<\/li>\n
                        • Analytics tools:<\/strong> for funnel analysis, cohort retention, attribution, and behavior insights.<\/li>\n
                        • Data infrastructure:<\/strong> event collection, warehouses\/lakes, customer data layers, and identity resolution mechanisms.<\/li>\n
                        • Experimentation and QA workflows:<\/strong> testing frameworks, deliverability monitoring, and automated checks for broken events.<\/li>\n
                        • Reporting dashboards:<\/strong> standardized KPI views for lifecycle performance and operational health.<\/li>\n<\/ul>\n\n\n\n

                          The goal is to align tools so the Automation Budget<\/strong> pays for outcomes, not overlapping capabilities.<\/p>\n\n\n\n

                          Metrics Related to Automation Budget<\/h2>\n\n\n\n

                          To evaluate whether your Automation Budget<\/strong> is working, track a blend of performance, efficiency, and quality metrics:<\/p>\n\n\n\n

                          Performance and revenue metrics<\/h3>\n\n\n\n
                            \n
                          • Incremental revenue per journey (preferably with holdouts)<\/li>\n
                          • Customer lifetime value (LTV) changes by cohort<\/li>\n
                          • Repeat purchase rate, renewal rate, churn rate<\/li>\n
                          • Conversion rate by lifecycle stage (activation, expansion, reactivation)<\/li>\n<\/ul>\n\n\n\n

                            Efficiency metrics<\/h3>\n\n\n\n
                              \n
                            • Cost per incremental retained customer<\/li>\n
                            • Time-to-launch for a new automation<\/li>\n
                            • Percentage of revenue influenced by always-on journeys<\/li>\n
                            • Automation coverage (share of key lifecycle events with an automated response)<\/li>\n<\/ul>\n\n\n\n

                              Experience and quality metrics<\/h3>\n\n\n\n
                                \n
                              • Unsubscribe\/opt-out rate and complaint rate<\/li>\n
                              • Deliverability indicators (bounce rate, inbox placement proxies)<\/li>\n
                              • Message frequency per user and fatigue signals<\/li>\n
                              • Error rate (misfires, duplicate sends, broken triggers)<\/li>\n<\/ul>\n\n\n\n

                                In Marketing Automation<\/strong>, operational health metrics are just as important as opens and clicks because they predict future performance.<\/p>\n\n\n\n

                                Future Trends of Automation Budget<\/h2>\n\n\n\n

                                Automation Budget<\/strong> is evolving as expectations and constraints change:<\/p>\n\n\n\n

                                  \n
                                • AI-assisted orchestration:<\/strong> more teams will fund predictive segmentation, send-time optimization, and automated content variation\u2014raising the need for governance and brand safety.<\/li>\n
                                • Privacy-first measurement:<\/strong> reduced third-party tracking increases the value of first-party event data and server-side approaches, shifting Automation Budget<\/strong> toward data infrastructure.<\/li>\n
                                • Real-time personalization:<\/strong> customers expect immediate reactions to behavior, pushing investments in low-latency pipelines and decisioning.<\/li>\n
                                • Cross-channel lifecycle consistency:<\/strong> Direct & Retention Marketing<\/strong> will rely on coordinated messaging across email, SMS, push, in-app, and paid retargeting\u2014requiring stronger frequency management and unified preferences.<\/li>\n
                                • Incrementality as a standard:<\/strong> leadership will demand proof that Marketing Automation<\/strong> drives lift, not just attribution.<\/li>\n<\/ul>\n\n\n\n

                                  Future-ready teams will treat Automation Budget<\/strong> as a strategic asset that funds experimentation, measurement, and resilience.<\/p>\n\n\n\n

                                  Automation Budget vs Related Terms<\/h2>\n\n\n\n

                                  Automation Budget vs media budget<\/h3>\n\n\n\n

                                  A media budget funds paid distribution (ads, placements). Automation Budget<\/strong> funds systems and programs that act on customer signals over time. In Direct & Retention Marketing<\/strong>, both matter: media can acquire, while automation improves conversion and retention after acquisition.<\/p>\n\n\n\n

                                  Automation Budget vs martech stack cost<\/h3>\n\n\n\n

                                  Martech stack cost is the price tag of tools. Automation Budget<\/strong> is broader: it includes people, process, data, creative, QA, and ongoing optimization. Many teams \u201cbuy\u201d Marketing Automation<\/strong> but underfund the work required to make it effective.<\/p>\n\n\n\n

                                  Automation Budget vs lifecycle marketing strategy<\/h3>\n\n\n\n

                                  Lifecycle strategy defines what you\u2019ll do and why. Automation Budget<\/strong> defines what it will take to execute that strategy reliably, measure it, and keep it healthy.<\/p>\n\n\n\n

                                  Who Should Learn Automation Budget<\/h2>\n\n\n\n
                                    \n
                                  • Marketers:<\/strong> to prioritize journeys that move retention metrics and to defend investments with clear ROI narratives in Direct & Retention Marketing<\/strong>.<\/li>\n
                                  • Analysts:<\/strong> to design measurement that separates incremental lift from convenient attribution and to improve decision-making in Marketing Automation<\/strong> programs.<\/li>\n
                                  • Agencies:<\/strong> to scope implementations realistically, price ongoing operations correctly, and avoid \u201claunch and leave\u201d failures.<\/li>\n
                                  • Business owners and founders:<\/strong> to understand the true cost of scaling retention and to avoid underestimating the operational needs of automation.<\/li>\n
                                  • Developers and marketing ops:<\/strong> to plan integrations, data quality, and system reliability so automated journeys don\u2019t break when products change.<\/li>\n<\/ul>\n\n\n\n

                                    Summary of Automation Budget<\/h2>\n\n\n\n

                                    Automation Budget<\/strong> is the planned investment\u2014tools, people, data, and operating capacity\u2014needed to build and sustain automated lifecycle programs. It matters because Direct & Retention Marketing<\/strong> outcomes compound over time, and Marketing Automation<\/strong> only delivers value when automations are measured, maintained, and improved. Done well, Automation Budget<\/strong> turns retention into a scalable system rather than a series of manual campaigns.<\/p>\n\n\n\n

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

                                    1) What does Automation Budget include in practice?<\/h3>\n\n\n\n

                                    Automation Budget<\/strong> typically includes platform costs, data instrumentation and integrations, creative\/template production, QA and monitoring, analytics and reporting, and ongoing optimization time\u2014not just software fees.<\/p>\n\n\n\n

                                    2) How do I decide the right Automation Budget for a small business?<\/h3>\n\n\n\n

                                    Start with a small set of high-impact journeys (onboarding, post-purchase, win-back) and fund measurement plus basic data hygiene. A smaller Automation Budget<\/strong> can still perform well if it avoids complexity and focuses on the highest-leverage lifecycle moments in Direct & Retention Marketing<\/strong>.<\/p>\n\n\n\n

                                    3) How can I prove ROI from Marketing Automation?<\/h3>\n\n\n\n

                                    Use baselines and, when possible, control groups or holdouts. Track incremental lift in retention, repeat purchase, and churn reduction, not only opens\/clicks. Strong measurement should be funded as part of the Automation Budget<\/strong>.<\/p>\n\n\n\n

                                    4) What\u2019s the biggest mistake teams make with Automation Budget?<\/h3>\n\n\n\n

                                    They fund the build (initial setup and launches) but not the run (monitoring, deliverability, content refresh, and experimentation). In Marketing Automation<\/strong>, neglected programs slowly degrade and can even create customer experience problems.<\/p>\n\n\n\n

                                    5) Should Automation Budget be centralized or owned by each team?<\/h3>\n\n\n\n

                                    Centralization helps governance, data consistency, and shared tooling; distributed ownership can move faster for local needs. Many organizations use a hybrid: a core Automation Budget<\/strong> for shared infrastructure plus team-level budgets for specific programs in Direct & Retention Marketing<\/strong>.<\/p>\n\n\n\n

                                    6) How often should Automation Budget be reviewed?<\/h3>\n\n\n\n

                                    Quarterly is a practical cadence. Review performance, operational health, and roadmap changes, then reallocate funding between maintenance, optimization, and new journeys based on measured impact.<\/p>\n\n\n\n

                                    7) How do I avoid tool sprawl while scaling automations?<\/h3>\n\n\n\n

                                    Define required capabilities, standardize data and governance, and evaluate whether new needs can be met within existing systems. A disciplined Automation Budget<\/strong> prioritizes reliability and measurement over adding overlapping tools.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                    Automation Budget is the planned allocation of money, time, and organizational capacity required to design, launch, operate, and improve automated customer communications across channels. In **Direct & Retention Marketing**, it\u2019s the difference between \u201cwe have automation tools\u201d and \u201cwe reliably deliver timely, relevant lifecycle messaging that grows revenue and reduces churn.\u201d<\/p>\n","protected":false},"author":10235,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1894],"tags":[],"class_list":["post-8181","post","type-post","status-publish","format-standard","hentry","category-marketing-automation"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/8181","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=8181"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/8181\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=8181"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=8181"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=8181"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}