{"id":6795,"date":"2026-03-23T12:51:28","date_gmt":"2026-03-23T12:51:28","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/weekly-active-users\/"},"modified":"2026-03-23T12:51:28","modified_gmt":"2026-03-23T12:51:28","slug":"weekly-active-users","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/weekly-active-users\/","title":{"rendered":"Weekly Active Users: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Analytics"},"content":{"rendered":"\n

Weekly Active Users (WAU) is one of the most useful \u201creality check\u201d metrics in Conversion & Measurement<\/strong> because it answers a simple question: how many distinct people actually used your product, app, or digital service in the past week? In Analytics<\/strong>, WAU sits between daily volatility and monthly lag, making it a powerful way to understand engagement, retention, and momentum without overreacting to single-day spikes.<\/p>\n\n\n\n

In modern Conversion & Measurement<\/strong> strategy, Weekly Active Users matters because it connects marketing activity to product usage. It helps teams evaluate whether acquisition campaigns bring in people who return, whether onboarding works, and whether changes to pricing, UX, or messaging improve real-world behavior. WAU isn\u2019t just a reporting number\u2014it\u2019s often a leading indicator of growth quality.<\/p>\n\n\n\n

2) What Is Weekly Active Users?<\/h2>\n\n\n\n

Weekly Active Users (WAU)<\/strong> is the count of unique users<\/strong> who perform a defined \u201cactive\u201d action at least once during a rolling 7-day period (or a fixed calendar week, depending on your definition). The \u201cactive\u201d action is not universal; it must be defined based on your business model and measurement goals.<\/p>\n\n\n\n

At its core, WAU is about distinct people<\/strong> (not sessions) who show meaningful engagement. For a SaaS tool, \u201cactive\u201d might mean logging in and using a key feature. For an eCommerce app, it might be browsing products, adding to cart, or placing an order. For a content platform, it could mean reading, listening, or watching beyond a threshold.<\/p>\n\n\n\n

From a business standpoint, Weekly Active Users represents habit formation and repeat value<\/strong>. In Conversion & Measurement<\/strong>, it helps quantify whether marketing and lifecycle efforts are producing users who stick around long enough to convert, expand, or renew. In Analytics<\/strong>, WAU is commonly used in dashboards, cohort analysis, and trend monitoring because it balances sensitivity (it changes quickly) with stability (it\u2019s less noisy than DAU).<\/p>\n\n\n\n

3) Why Weekly Active Users Matters in Conversion & Measurement<\/h2>\n\n\n\n

Weekly Active Users matters because it reveals the difference between \u201ctraffic\u201d and \u201ctraction.\u201d Many campaigns can drive clicks or installs, but WAU helps determine whether you\u2019re building an audience that actually uses what you offer.<\/p>\n\n\n\n

Key ways WAU supports Conversion & Measurement<\/strong> outcomes:<\/p>\n\n\n\n

    \n
  • Validates acquisition quality:<\/strong> If spend rises but Weekly Active Users stays flat, you may be buying low-intent users or targeting the wrong audience.<\/li>\n
  • Improves funnel thinking:<\/strong> WAU links top-of-funnel activity to mid-funnel engagement\u2014often the step before purchase, subscription, or retention.<\/li>\n
  • Tracks product-market fit signals:<\/strong> Consistent WAU growth, especially among new cohorts, can signal improving value perception.<\/li>\n
  • Enables faster iteration:<\/strong> Compared to monthly metrics, WAU responds quickly to onboarding changes, feature releases, and lifecycle messaging.<\/li>\n
  • Creates competitive advantage:<\/strong> Teams that manage WAU well often build stronger retention loops, lowering reliance on paid acquisition over time.<\/li>\n<\/ul>\n\n\n\n

    Because WAU is grounded in behavior, it\u2019s a reliable anchor metric in Analytics<\/strong>\u2014particularly when vanity metrics (pageviews, impressions, raw sessions) are rising but meaningful usage is not.<\/p>\n\n\n\n

    4) How Weekly Active Users Works<\/h2>\n\n\n\n

    Weekly Active Users is conceptual, but it becomes practical when you implement it as a consistent measurement workflow:<\/p>\n\n\n\n

      \n
    1. \n

      Input \/ trigger (user activity occurs)<\/strong>\n A user performs events such as \u201clogin,\u201d \u201csearch,\u201d \u201cadd_to_cart,\u201d \u201ccreate_project,\u201d or \u201cpurchase.\u201d The key is selecting events that represent true engagement.<\/p>\n<\/li>\n

    2. \n

      Processing (identity + deduplication)<\/strong>\n Your Analytics<\/strong> setup deduplicates events so each person counts once per week. This step depends on identity resolution (user ID vs anonymous device) and clean tracking.<\/p>\n<\/li>\n

    3. \n

      Application (reporting + segmentation)<\/strong>\n WAU is computed for the total user base and segmented by source, campaign, geography, device, plan tier, or onboarding path. In Conversion & Measurement<\/strong>, segmentation is where WAU becomes actionable.<\/p>\n<\/li>\n

    4. \n

      Output \/ outcome (decisions + optimization)<\/strong>\n You use Weekly Active Users trends to adjust targeting, creatives, onboarding, lifecycle messaging, and product experiences\u2014then monitor whether WAU and downstream conversions improve.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

      The key is consistency: the same definition, the same counting rules, and the same time window must be used over time, or WAU becomes hard to interpret.<\/p>\n\n\n\n

      5) Key Components of Weekly Active Users<\/h2>\n\n\n\n

      A reliable Weekly Active Users metric depends on several building blocks:<\/p>\n\n\n\n

      Definition and event taxonomy<\/h3>\n\n\n\n
        \n
      • A clear definition of what \u201cactive\u201d means for your business<\/li>\n
      • A documented event naming convention (so \u201cactive\u201d can be measured consistently)<\/li>\n<\/ul>\n\n\n\n

        Identity and user counting rules<\/h3>\n\n\n\n
          \n
        • Logged-in user IDs vs anonymous IDs<\/li>\n
        • Cross-device handling (same person on mobile and desktop)<\/li>\n
        • Bot filtering and internal traffic exclusion<\/li>\n<\/ul>\n\n\n\n

          Data collection and governance<\/h3>\n\n\n\n
            \n
          • Tag management or SDK instrumentation<\/li>\n
          • Data quality checks (missing events, duplicate firing, time zone issues)<\/li>\n
          • Ownership: product, growth, and Analytics<\/strong> teams agree on definitions<\/li>\n<\/ul>\n\n\n\n

            Reporting and operational cadence<\/h3>\n\n\n\n
              \n
            • Dashboards showing WAU overall and by segment<\/li>\n
            • Weekly review rituals tied to Conversion & Measurement<\/strong> decisions (budget shifts, onboarding tests, lifecycle campaigns)<\/li>\n<\/ul>\n\n\n\n

              6) Types of Weekly Active Users<\/h2>\n\n\n\n

              Weekly Active Users doesn\u2019t have strict \u201cofficial\u201d types, but in practice teams use several meaningful variants. Understanding these distinctions prevents misleading comparisons.<\/p>\n\n\n\n

              Rolling WAU vs calendar-week WAU<\/h3>\n\n\n\n
                \n
              • Rolling WAU:<\/strong> last 7 days from \u201ctoday\u201d (common in dashboards; smooth and responsive)<\/li>\n
              • Calendar-week WAU:<\/strong> Monday\u2013Sunday (useful for week-over-week reporting consistency)<\/li>\n<\/ul>\n\n\n\n

                Product WAU vs marketing-engaged WAU<\/h3>\n\n\n\n
                  \n
                • Product WAU:<\/strong> users who used core product features (best for retention and LTV modeling)<\/li>\n
                • Marketing-engaged WAU:<\/strong> users who engaged with content or campaigns (useful for audience building, but not the same as product usage)<\/li>\n<\/ul>\n\n\n\n

                  Authenticated WAU vs anonymous WAU<\/h3>\n\n\n\n
                    \n
                  • Authenticated:<\/strong> based on user accounts (cleaner identity, better for SaaS)<\/li>\n
                  • Anonymous:<\/strong> based on cookies\/devices (common for content sites; more identity noise)<\/li>\n<\/ul>\n\n\n\n

                    \u201cActive\u201d definition strictness<\/h3>\n\n\n\n
                      \n
                    • Any activity WAU:<\/strong> counts light engagement (more inclusive; can inflate)<\/li>\n
                    • Key-action WAU:<\/strong> counts meaningful actions (more predictive of conversion and retention)<\/li>\n<\/ul>\n\n\n\n

                      In Conversion & Measurement<\/strong>, choosing the right WAU variant is often more important than the absolute number.<\/p>\n\n\n\n

                      7) Real-World Examples of Weekly Active Users<\/h2>\n\n\n\n

                      Example 1: SaaS onboarding and activation<\/h3>\n\n\n\n

                      A B2B SaaS company defines Weekly Active Users as users who \u201clog in and create or edit at least one project.\u201d After launching a new onboarding checklist, the team sees WAU among new signups rise from 18% to 26% of the signup cohort within two weeks. In Analytics<\/strong>, they confirm the increase is strongest for organic search and partner referrals, guiding where to invest for higher-quality acquisition. This turns WAU into a practical Conversion & Measurement<\/strong> signal for activation improvements.<\/p>\n\n\n\n

                      Example 2: ECommerce app retention after paid acquisition<\/h3>\n\n\n\n

                      An eCommerce brand increases spend on social ads and sees app installs jump. However, Weekly Active Users stays flat when defined as \u201cbrowse at least 3 product pages or add to cart.\u201d In Conversion & Measurement<\/strong>, that gap suggests targeting or creative mismatch. The team tests new creatives aligned with best-selling categories and improves landing experience; WAU rises, followed by a lift in add-to-cart rate and purchases.<\/p>\n\n\n\n

                      Example 3: Content subscription funnel health<\/h3>\n\n\n\n

                      A publisher defines Weekly Active Users as users who read at least two articles and spend at least three minutes total. After introducing a new paywall design, WAU drops even though pageviews remain stable. In Analytics<\/strong>, they discover returning users are bouncing earlier due to aggressive prompts. The team adjusts the paywall rules and recovers WAU while maintaining subscription conversions\u2014demonstrating how WAU can protect long-term audience value inside Conversion & Measurement<\/strong>.<\/p>\n\n\n\n

                      8) Benefits of Using Weekly Active Users<\/h2>\n\n\n\n

                      Weekly Active Users delivers benefits that are both strategic and operational:<\/p>\n\n\n\n

                        \n
                      • Better performance management:<\/strong> WAU is a strong intermediate KPI between acquisition and revenue, improving Conversion & Measurement<\/strong> clarity.<\/li>\n
                      • Earlier detection of problems:<\/strong> Drops in WAU can reveal tracking breaks, UX regressions, deliverability issues, or churn risk sooner than monthly revenue metrics.<\/li>\n
                      • More efficient spend:<\/strong> When paired with acquisition cost by channel, WAU helps you reduce spend on sources that drive low-engagement users.<\/li>\n
                      • Improved customer experience:<\/strong> Optimizing for WAU often improves onboarding, personalization, and feature discoverability.<\/li>\n
                      • Cleaner experimentation:<\/strong> A\/B tests can use WAU (or WAU lift) as a primary or guardrail metric in Analytics<\/strong> reporting.<\/li>\n<\/ul>\n\n\n\n

                        9) Challenges of Weekly Active Users<\/h2>\n\n\n\n

                        Weekly Active Users is powerful, but it can be misunderstood or mismeasured:<\/p>\n\n\n\n

                          \n
                        • Definition risk:<\/strong> If \u201cactive\u201d is too broad, WAU becomes a vanity metric; too strict, and you may miss meaningful engagement.<\/li>\n
                        • Identity fragmentation:<\/strong> Cookie loss, cross-device behavior, and anonymous browsing can undercount or overcount WAU depending on your setup.<\/li>\n
                        • Time zone and window inconsistency:<\/strong> Teams comparing rolling WAU to calendar-week WAU can draw incorrect conclusions.<\/li>\n
                        • Data quality issues:<\/strong> Duplicate event firing, missing SDK events, and bot traffic can distort WAU trends in Analytics<\/strong>.<\/li>\n
                        • Misaligned incentives:<\/strong> If teams optimize only for WAU, they may favor shallow engagement over revenue or long-term retention\u2014so WAU should be balanced with downstream metrics.<\/li>\n<\/ul>\n\n\n\n

                          10) Best Practices for Weekly Active Users<\/h2>\n\n\n\n

                          To make Weekly Active Users truly actionable in Conversion & Measurement<\/strong>, apply these practices:<\/p>\n\n\n\n

                            \n
                          • Define \u201cactive\u201d based on value delivery:<\/strong> Choose events that reflect users receiving real value (not just opening an app).<\/li>\n
                          • Document the WAU spec:<\/strong> Include event list, counting rules, time window, time zone, and exclusions (internal users, bots).<\/li>\n
                          • Segment WAU by source and cohort:<\/strong> Track WAU for new users vs returning users; compare paid vs organic; evaluate WAU by landing page or campaign.<\/li>\n
                          • Pair WAU with conversion and retention metrics:<\/strong> Use WAU alongside activation rate, purchase rate, or renewal rate to avoid optimizing the wrong outcome.<\/li>\n
                          • Monitor WAU with annotations:<\/strong> Record product releases, campaign launches, pricing changes, and tracking updates so trends are explainable.<\/li>\n
                          • Use WAU as a leading indicator, not the only KPI:<\/strong> In Analytics<\/strong>, WAU works best in a metric set that includes revenue, churn, and customer health signals.<\/li>\n<\/ul>\n\n\n\n

                            11) Tools Used for Weekly Active Users<\/h2>\n\n\n\n

                            Weekly Active Users is not a single-tool feature; it\u2019s a metric computed across your measurement stack. Common tool categories include:<\/p>\n\n\n\n

                              \n
                            • Analytics tools:<\/strong> Web and app measurement platforms that capture events and compute active user metrics.<\/li>\n
                            • Product analytics platforms:<\/strong> Event-based systems used for funnels, cohorts, retention curves, and feature usage (often where WAU is most central).<\/li>\n
                            • Tag management and SDK tooling:<\/strong> Helps implement consistent event tracking across web and mobile.<\/li>\n
                            • Data warehouses and ETL\/ELT pipelines:<\/strong> Useful when you need a \u201csingle source of truth\u201d WAU definition across products and regions.<\/li>\n
                            • CRM and lifecycle automation systems:<\/strong> To activate segments like \u201cinactive last 7 days\u201d or \u201cnew WAU users\u201d for re-engagement campaigns.<\/li>\n
                            • Reporting dashboards and BI:<\/strong> For executive-ready WAU reporting tied to Conversion & Measurement<\/strong> performance and Analytics<\/strong> governance.<\/li>\n
                            • Experimentation platforms:<\/strong> To test onboarding, messaging, and UX changes and measure WAU impact.<\/li>\n<\/ul>\n\n\n\n

                              12) Metrics Related to Weekly Active Users<\/h2>\n\n\n\n

                              WAU is most informative when you connect it to nearby metrics:<\/p>\n\n\n\n

                                \n
                              • DAU and MAU:<\/strong> Daily Active Users and Monthly Active Users provide shorter- and longer-window context for Weekly Active Users.<\/li>\n
                              • Stickiness (DAU\/WAU or WAU\/MAU):<\/strong> Indicates how frequently active users return. Higher stickiness often signals habit formation.<\/li>\n
                              • Activation rate:<\/strong> The percent of new users who reach a defined \u201caha moment.\u201d WAU among new cohorts is a strong activation proxy.<\/li>\n
                              • Retention and churn:<\/strong> WAU trends often correlate with retention; cohort retention curves explain why<\/em> WAU changes.<\/li>\n
                              • Conversion rate (to purchase\/trial\/subscribe):<\/strong> In Conversion & Measurement<\/strong>, WAU helps interpret whether conversion gains are coming from more engaged users or short-term spikes.<\/li>\n
                              • Customer Lifetime Value (LTV) and CAC payback:<\/strong> WAU by acquisition channel can improve your confidence in LTV assumptions.<\/li>\n
                              • Reactivation rate:<\/strong> Users who were inactive and became active again within a week\u2014important for lifecycle marketing.<\/li>\n<\/ul>\n\n\n\n

                                13) Future Trends of Weekly Active Users<\/h2>\n\n\n\n

                                Weekly Active Users is evolving as measurement conditions change:<\/p>\n\n\n\n

                                  \n
                                • AI-assisted insights:<\/strong> Analytics<\/strong> workflows increasingly use AI to detect WAU anomalies, surface drivers (feature changes, channel mix), and forecast WAU under different scenarios.<\/li>\n
                                • More automation in lifecycle actions:<\/strong> WAU-based segments (\u201cinactive 7 days,\u201d \u201cnewly active,\u201d \u201cpower users\u201d) are increasingly used to trigger personalized messaging and in-app guidance.<\/li>\n
                                • Privacy-driven measurement shifts:<\/strong> Cookie limitations and mobile privacy changes push teams toward first-party identity, server-side tracking, and modeled measurement\u2014directly affecting WAU accuracy.<\/li>\n
                                • Higher standards for \u201cactive\u201d:<\/strong> As teams mature, they move from \u201cany engagement\u201d toward value-based WAU definitions tied to retention and revenue.<\/li>\n
                                • Unified measurement across surfaces:<\/strong> Companies aim to harmonize WAU across web, app, and offline touchpoints, improving Conversion & Measurement<\/strong> consistency across the customer journey.<\/li>\n<\/ul>\n\n\n\n

                                  14) Weekly Active Users vs Related Terms<\/h2>\n\n\n\n

                                  Weekly Active Users vs Daily Active Users (DAU)<\/h3>\n\n\n\n
                                    \n
                                  • DAU<\/strong> is more sensitive to daily campaigns and seasonality.<\/li>\n
                                  • Weekly Active Users<\/strong> is steadier and better for monitoring engagement momentum without day-to-day noise.<\/li>\n
                                  • Use DAU for operational monitoring; use WAU for engagement trend clarity in Conversion & Measurement<\/strong>.<\/li>\n<\/ul>\n\n\n\n

                                    Weekly Active Users vs Monthly Active Users (MAU)<\/h3>\n\n\n\n
                                      \n
                                    • MAU<\/strong> is helpful for big-picture reach but can hide recent changes.<\/li>\n
                                    • Weekly Active Users<\/strong> responds faster to product and marketing shifts.<\/li>\n
                                    • Many teams track both to understand short-term health vs longer-term audience size.<\/li>\n<\/ul>\n\n\n\n

                                      Weekly Active Users vs Sessions<\/h3>\n\n\n\n
                                        \n
                                      • Sessions<\/strong> measure visits, not people, and can be inflated by frequent users or tracking quirks.<\/li>\n
                                      • Weekly Active Users<\/strong> measures unique users and is usually closer to business reality.<\/li>\n
                                      • In Analytics<\/strong>, sessions are useful for behavior analysis; WAU is stronger for user-based growth tracking.<\/li>\n<\/ul>\n\n\n\n

                                        15) Who Should Learn Weekly Active Users<\/h2>\n\n\n\n

                                        Weekly Active Users is valuable across roles:<\/p>\n\n\n\n

                                          \n
                                        • Marketers:<\/strong> To evaluate acquisition quality, lifecycle impact, and campaign effects beyond clicks.<\/li>\n
                                        • Analysts:<\/strong> To build consistent Analytics<\/strong> definitions, cohorts, and measurement governance.<\/li>\n
                                        • Agencies:<\/strong> To prove outcomes in Conversion & Measurement<\/strong> terms that clients can trust and operationalize.<\/li>\n
                                        • Business owners and founders:<\/strong> To understand whether growth is durable and whether product value is sticking.<\/li>\n
                                        • Developers and product teams:<\/strong> To instrument meaningful events and ensure WAU reflects real usage, not noisy telemetry.<\/li>\n<\/ul>\n\n\n\n

                                          16) Summary of Weekly Active Users<\/h2>\n\n\n\n

                                          Weekly Active Users (WAU) measures the number of unique users who take a defined meaningful action within a week. It matters because it captures engagement and retention signals that sit between daily fluctuations and monthly lag. In Conversion & Measurement<\/strong>, WAU helps connect marketing inputs to real product usage and supports smarter decisions about acquisition, onboarding, and lifecycle strategies. In Analytics<\/strong>, it\u2019s a foundational metric for segmentation, cohort analysis, and growth health monitoring.<\/p>\n\n\n\n

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

                                          1) What does Weekly Active Users mean in practice?<\/h3>\n\n\n\n

                                          Weekly Active Users is the count of unique people who performed your defined \u201cactive\u201d event at least once in the last 7 days (or within a calendar week). The definition depends on what \u201cactive\u201d means for your product or business.<\/p>\n\n\n\n

                                          2) How do I choose the right \u201cactive\u201d event for WAU?<\/h3>\n\n\n\n

                                          Pick an action that represents real value, such as creating a project, completing a lesson, adding to cart, or consuming content beyond a threshold. In Conversion & Measurement<\/strong>, the best WAU definition is the one most predictive of retention and conversion.<\/p>\n\n\n\n

                                          3) Is WAU better than DAU or MAU?<\/h3>\n\n\n\n

                                          It\u2019s not universally better\u2014just different. Weekly Active Users is typically more stable than DAU and more responsive than MAU, which makes it a strong metric for weekly growth and engagement tracking.<\/p>\n\n\n\n

                                          4) How does Analytics tracking affect Weekly Active Users accuracy?<\/h3>\n\n\n\n

                                          Identity resolution (logged-in IDs vs cookies), cross-device behavior, bot filtering, and event quality all influence WAU. Strong Analytics<\/strong> governance\u2014consistent event specs and QA\u2014improves reliability.<\/p>\n\n\n\n

                                          5) Should I report rolling WAU or calendar-week WAU?<\/h3>\n\n\n\n

                                          Use rolling WAU for smoother day-to-day monitoring and calendar-week WAU for consistent week-over-week reporting. The key is to standardize your choice so trends remain comparable.<\/p>\n\n\n\n

                                          6) Can Weekly Active Users be a north star metric?<\/h3>\n\n\n\n

                                          It can be, especially for products where repeat usage drives value. However, WAU should be paired with revenue, retention, and satisfaction measures so Conversion & Measurement<\/strong> doesn\u2019t optimize engagement at the expense of outcomes.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                          Weekly Active Users (WAU) is one of the most useful \u201creality check\u201d metrics in **Conversion & Measurement** because it answers a simple question: how many distinct people actually used your product, app, or digital service in the past week? In **Analytics**, WAU sits between daily volatility and monthly lag, making it a powerful way to understand engagement, retention, and momentum without overreacting to single-day spikes.<\/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-6795","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\/6795","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=6795"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/6795\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=6795"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=6795"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=6795"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}