{"id":10507,"date":"2026-03-29T12:21:17","date_gmt":"2026-03-29T12:21:17","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/offline-conversion-set\/"},"modified":"2026-03-29T12:21:17","modified_gmt":"2026-03-29T12:21:17","slug":"offline-conversion-set","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/offline-conversion-set\/","title":{"rendered":"Offline Conversion Set: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Paid Social"},"content":{"rendered":"\n

Offline sales still drive revenue for many businesses\u2014think retail stores, phone orders, field sales, clinics, dealerships, and franchises. An Offline Conversion Set<\/strong> is the bridge that helps modern Paid Marketing<\/strong> teams connect those real-world outcomes back to the campaigns that influenced them, especially within Paid Social<\/strong> where optimization depends heavily on conversion feedback.<\/p>\n\n\n\n

When you can reliably send offline outcomes (like \u201cpurchase completed in-store\u201d or \u201ccontract signed\u201d) back into your ad measurement workflow, you stop optimizing for shallow signals and start optimizing for profit. That\u2019s why an Offline Conversion Set<\/strong> has become a foundational concept for performance-focused Paid Marketing<\/strong> and attribution-aware Paid Social<\/strong> programs.<\/p>\n\n\n\n

What Is Offline Conversion Set?<\/h2>\n\n\n\n

An Offline Conversion Set<\/strong> is a structured collection (or container) of offline conversion events that a business records outside the website or app\u2014then prepares and shares back to advertising measurement systems for attribution, reporting, and optimization. In plain terms: it\u2019s how you organize and operationalize \u201cwhat happened in real life\u201d so your Paid Marketing<\/strong> data reflects real outcomes, not just clicks and form fills.<\/p>\n\n\n\n

The core concept is simple: offline events (sales, qualified leads, booked appointments, renewals) are valuable conversion signals, but they typically live in systems like a CRM, point-of-sale (POS), booking software, or call center platform. An Offline Conversion Set<\/strong> defines how those events are grouped, named, timestamped, and matched to ad interactions so they can influence Paid Social<\/strong> performance analysis and bidding decisions.<\/p>\n\n\n\n

From a business standpoint, an Offline Conversion Set<\/strong> helps answer questions like:\n– Which campaigns drove in-store revenue, not just site traffic?\n– Which audience segments led to closed-won deals?\n– Are we paying for leads that never convert offline?<\/p>\n\n\n\n

Within Paid Marketing<\/strong>, it sits at the intersection of measurement, data engineering, and optimization. Within Paid Social<\/strong>, it\u2019s a key mechanism for feeding higher-quality conversion signals back into the platform ecosystem.<\/p>\n\n\n\n

Why Offline Conversion Set Matters in Paid Marketing<\/h2>\n\n\n\n

An Offline Conversion Set<\/strong> matters because most organizations have a \u201cmeasurement gap\u201d between online intent and offline outcomes. Without offline conversion feedback, Paid Marketing<\/strong> teams often optimize toward proxy metrics\u2014click-through rate, landing page views, or low-quality leads\u2014because those are the only signals consistently available.<\/p>\n\n\n\n

Strategically, closing this gap creates compounding benefits:\n– Budget efficiency:<\/strong> Spending shifts toward campaigns that generate actual revenue, not just activity.\n– Faster learning loops:<\/strong> Paid Social<\/strong> algorithms and analysts can evaluate what truly works.\n– Better stakeholder alignment:<\/strong> Sales and marketing share a common conversion definition (e.g., \u201cqualified appointment kept,\u201d not \u201cform submitted\u201d).\n– Competitive advantage:<\/strong> Many advertisers still can\u2019t connect offline revenue back to ad exposure, so they under-optimize and misallocate spend.<\/p>\n\n\n\n

In short, a well-designed Offline Conversion Set<\/strong> turns offline business performance into actionable Paid Marketing<\/strong> intelligence.<\/p>\n\n\n\n

How Offline Conversion Set Works<\/h2>\n\n\n\n

While implementations vary by organization and platform, an Offline Conversion Set<\/strong> typically works as a practical workflow:<\/p>\n\n\n\n

    \n
  1. \n

    Input (capture offline outcomes)<\/strong>\n – Offline events occur in CRM\/POS\/call center systems: purchases, deposits, signed contracts, appointments, repeat orders.\n – Each event includes business attributes such as time, value, currency, location, product category, and status (e.g., \u201cclosed-won\u201d).<\/p>\n<\/li>\n

  2. \n

    Processing (prepare and match)<\/strong>\n – Data is standardized into a consistent event schema (event name, timestamp, value).\n – Matching identifiers are collected and normalized (for example: email\/phone captured during lead intake, click IDs, or other consented identifiers).\n – Data quality checks catch duplicates, missing timestamps, or invalid formats.<\/p>\n<\/li>\n

  3. \n

    Execution (send to measurement systems)<\/strong>\n – Events are uploaded or synced on a schedule (near real-time, daily, weekly) depending on sales cycle and operational needs.\n – The Offline Conversion Set<\/strong> acts as the organized destination where those events belong, ensuring consistent mapping across campaigns and accounts.<\/p>\n<\/li>\n

  4. \n

    Output (attribution and optimization)<\/strong>\n – Reports show attributed offline conversions and revenue alongside spend.\n – Paid Social<\/strong> and broader Paid Marketing<\/strong> optimization shifts from top-of-funnel signals to bottom-of-funnel outcomes (e.g., qualified appointments, purchases, lifetime value).<\/p>\n<\/li>\n<\/ol>\n\n\n\n

    This is less about a single \u201cfeature\u201d and more about a disciplined measurement system: define conversions, capture them reliably, match them accurately, and use them to steer decisions.<\/p>\n\n\n\n

    Key Components of Offline Conversion Set<\/h2>\n\n\n\n

    A strong Offline Conversion Set<\/strong> depends on more than just exporting a spreadsheet. The major components usually include:<\/p>\n\n\n\n

    Data inputs<\/h3>\n\n\n\n
      \n
    • CRM stages (lead, qualified, opportunity, closed-won)<\/li>\n
    • POS transactions (in-store purchases, returns)<\/li>\n
    • Call center outcomes (booked appointment, sale completed)<\/li>\n
    • Booking systems (attendance, cancellation, reschedule)<\/li>\n
    • Finance systems (invoices paid, deposits received)<\/li>\n<\/ul>\n\n\n\n

      Identity and matching<\/h3>\n\n\n\n
        \n
      • Consent-aware customer identifiers (email, phone) or transaction identifiers<\/li>\n
      • Click identifiers captured during lead submission (when applicable)<\/li>\n
      • Clear rules for hashing\/normalization where required by policy or security standards<\/li>\n<\/ul>\n\n\n\n

        Processes and governance<\/h3>\n\n\n\n
          \n
        • A conversion taxonomy: consistent event names and definitions<\/li>\n
        • Ownership: marketing ops, analytics, or data teams accountable for the pipeline<\/li>\n
        • QA routines: match-rate monitoring, deduplication, and anomaly detection<\/li>\n
        • Access control and retention policies aligned to privacy requirements<\/li>\n<\/ul>\n\n\n\n

          Measurement outputs<\/h3>\n\n\n\n
            \n
          • Attributed offline conversion counts and revenue<\/li>\n
          • Funnel stage reporting (lead \u2192 qualified \u2192 sale)<\/li>\n
          • Optimization-ready KPIs for Paid Marketing<\/strong> and Paid Social<\/strong> decision-making<\/li>\n<\/ul>\n\n\n\n

            Types of Offline Conversion Set<\/h2>\n\n\n\n

            \u201cTypes\u201d aren\u2019t always formally standardized, but in practice you\u2019ll see common distinctions in how an Offline Conversion Set<\/strong> is designed and used:<\/p>\n\n\n\n

            By conversion stage<\/h3>\n\n\n\n
              \n
            • Lead-stage offline conversions:<\/strong> call connected, appointment scheduled<\/li>\n
            • Mid-funnel conversions:<\/strong> qualified lead, sales accepted lead, attended appointment<\/li>\n
            • Revenue conversions:<\/strong> purchase completed, contract signed, invoice paid<\/li>\n<\/ul>\n\n\n\n

              By source system<\/h3>\n\n\n\n
                \n
              • CRM-based Offline Conversion Set<\/strong> (sales pipeline events)<\/li>\n
              • POS-based Offline Conversion Set<\/strong> (store transaction events)<\/li>\n
              • Call center\u2013based Offline Conversion Set<\/strong> (call outcomes and dispositions)<\/li>\n<\/ul>\n\n\n\n

                By update cadence<\/h3>\n\n\n\n
                  \n
                • Batch uploads:<\/strong> daily\/weekly updates, common for longer sales cycles<\/li>\n
                • Near real-time syncing:<\/strong> faster feedback loops for aggressive Paid Social<\/strong> optimization<\/li>\n<\/ul>\n\n\n\n

                  By organizational structure<\/h3>\n\n\n\n
                    \n
                  • Per brand, per region, or per store location (useful for franchises)<\/li>\n
                  • Per product line (separating high-margin vs low-margin outcomes)<\/li>\n<\/ul>\n\n\n\n

                    These distinctions matter because Paid Marketing<\/strong> optimization depends on consistent conversion definitions, clean segmentation, and appropriate feedback speed.<\/p>\n\n\n\n

                    Real-World Examples of Offline Conversion Set<\/h2>\n\n\n\n

                    Example 1: Auto dealership optimizing for test drives that become sales<\/h3>\n\n\n\n

                    A dealership runs Paid Social<\/strong> lead ads and search campaigns. Many leads book test drives by phone, and final purchases happen in-store days later. An Offline Conversion Set<\/strong> groups events like \u201ctest drive attended\u201d and \u201cvehicle purchased,\u201d including timestamps and sale value. Over time, Paid Marketing<\/strong> spend shifts toward audiences and creatives that drive purchases\u2014not just form submissions.<\/p>\n\n\n\n

                    Example 2: Retail chain linking ad clicks to in-store purchases<\/h3>\n\n\n\n

                    A retail brand promotes seasonal offers through Paid Social<\/strong> and other Paid Marketing<\/strong> channels. Customers often browse online, then buy in-store. The retailer exports POS transactions daily, standardizes event fields (purchase time, revenue, store ID), and loads them into an Offline Conversion Set<\/strong>. Reporting now shows which campaigns drive offline revenue by region, enabling smarter local budget allocation.<\/p>\n\n\n\n

                    Example 3: B2B services company optimizing for closed-won deals<\/h3>\n\n\n\n

                    A B2B firm uses Paid Social<\/strong> to drive demo requests. The real goal is signed contracts, which can take 30\u201390 days. Their Offline Conversion Set<\/strong> includes stages like \u201csales qualified,\u201d \u201cproposal sent,\u201d and \u201cclosed-won,\u201d with weighted values. The marketing team evaluates true pipeline impact and reduces spend on lead sources that look good on CPL but produce weak close rates.<\/p>\n\n\n\n

                    Benefits of Using Offline Conversion Set<\/h2>\n\n\n\n

                    A well-implemented Offline Conversion Set<\/strong> can improve both performance and operational clarity:<\/p>\n\n\n\n

                      \n
                    • Higher-quality optimization:<\/strong> Paid Social<\/strong> learns from outcomes that match business reality (revenue, qualified pipeline), not vanity conversions.<\/li>\n
                    • Better ROI and ROAS decisions:<\/strong> Paid Marketing<\/strong> reporting reflects offline revenue and margin-aware outcomes.<\/li>\n
                    • Lower wasted spend:<\/strong> Budgets move away from campaigns that generate low-quality leads that never convert.<\/li>\n
                    • Improved funnel visibility:<\/strong> You can measure drop-off from lead to sale and fix the real bottlenecks.<\/li>\n
                    • Stronger customer experience:<\/strong> When campaigns are optimized for better-fit prospects, downstream sales interactions often improve (fewer unqualified calls, higher intent appointments).<\/li>\n<\/ul>\n\n\n\n

                      Challenges of Offline Conversion Set<\/h2>\n\n\n\n

                      Despite its value, an Offline Conversion Set<\/strong> introduces real complexity that teams should plan for:<\/p>\n\n\n\n

                        \n
                      • Identity matching limitations:<\/strong> Not every offline sale can be matched back to an ad interaction, especially without consented identifiers.<\/li>\n
                      • Time lag:<\/strong> Offline sales cycles create delayed feedback, which can slow Paid Social<\/strong> learning and complicate experimentation.<\/li>\n
                      • Data quality issues:<\/strong> Duplicate leads, inconsistent timestamps, and stage changes can distort conversion reporting.<\/li>\n
                      • Cross-system coordination:<\/strong> Marketing, sales ops, IT, and analytics need shared definitions and reliable pipelines.<\/li>\n
                      • Privacy and compliance risk:<\/strong> Handling customer identifiers requires careful governance, minimization, and consent alignment.<\/li>\n<\/ul>\n\n\n\n

                        Treat these as design constraints\u2014not reasons to avoid offline measurement.<\/p>\n\n\n\n

                        Best Practices for Offline Conversion Set<\/h2>\n\n\n\n

                        To make an Offline Conversion Set<\/strong> reliable and decision-ready, focus on fundamentals:<\/p>\n\n\n\n

                          \n
                        1. \n

                          Define conversions that matter<\/strong>\n – Prioritize events closest to business value (qualified appointment kept, purchase, closed-won), not just \u201clead created.\u201d<\/p>\n<\/li>\n

                        2. \n

                          Standardize your taxonomy<\/strong>\n – Keep event names stable over time.\n – Document definitions and stage rules (what qualifies as \u201csales qualified\u201d?).<\/p>\n<\/li>\n

                        3. \n

                          Engineer for data quality<\/strong>\n – Enforce required fields (event time, value, currency where relevant).\n – Deduplicate based on stable keys (lead ID + event type + timestamp rules).\n – Monitor upload errors and match rates.<\/p>\n<\/li>\n

                        4. \n

                          Start simple, then expand<\/strong>\n – Begin with one revenue event in the Offline Conversion Set<\/strong>, then add funnel stages once accuracy is proven.<\/p>\n<\/li>\n

                        5. \n

                          Align optimization to the right signal<\/strong>\n – Use the most trustworthy offline event that\u2019s frequent enough for learning.\n – For longer cycles, consider optimizing to a mid-funnel event while reporting on closed-won.<\/p>\n<\/li>\n

                        6. \n

                          Build feedback loops<\/strong>\n – Review offline conversion performance weekly with both marketing and sales stakeholders.\n – Use insights to refine targeting, creative, lead qualification, and follow-up speed.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                          Tools Used for Offline Conversion Set<\/h2>\n\n\n\n

                          An Offline Conversion Set<\/strong> is typically supported by a stack of systems rather than a single tool:<\/p>\n\n\n\n

                            \n
                          • Ad platforms (measurement and optimization):<\/strong> Where offline events are attributed and used to evaluate Paid Social<\/strong> and other Paid Marketing<\/strong> campaigns.<\/li>\n
                          • CRM systems:<\/strong> The primary source for pipeline stages, lead ownership, and deal outcomes.<\/li>\n
                          • POS and payment systems:<\/strong> Sources of in-store transactions and revenue.<\/li>\n
                          • Call tracking and contact center tools:<\/strong> Capture call outcomes, dispositions, and booking results.<\/li>\n
                          • Automation and integration tools:<\/strong> Move data between systems on schedules, with logging and retries.<\/li>\n
                          • Data warehouse \/ BI dashboards:<\/strong> Centralize offline conversion reporting, QA metrics, and executive views.<\/li>\n
                          • Consent and governance workflows:<\/strong> Ensure compliant data handling, retention, and access controls.<\/li>\n<\/ul>\n\n\n\n

                            The goal is operational reliability: consistent data in, consistent insights out.<\/p>\n\n\n\n

                            Metrics Related to Offline Conversion Set<\/h2>\n\n\n\n

                            To evaluate whether your Offline Conversion Set<\/strong> is working, track both performance metrics and data health metrics:<\/p>\n\n\n\n

                            Performance and ROI metrics<\/h3>\n\n\n\n
                              \n
                            • Offline conversions (count) by campaign\/ad set\/ad group<\/li>\n
                            • Offline revenue attributed<\/li>\n
                            • Cost per offline conversion (CPA)<\/li>\n
                            • Return on ad spend (ROAS) using offline revenue<\/li>\n
                            • Conversion rate from lead \u2192 qualified \u2192 sale<\/li>\n
                            • Incremental lift measures where available (to reduce over-attribution)<\/li>\n<\/ul>\n\n\n\n

                              Data quality and pipeline metrics<\/h3>\n\n\n\n
                                \n
                              • Match rate (percentage of offline events successfully attributed)<\/li>\n
                              • Upload success rate \/ error rate<\/li>\n
                              • Time-to-upload (lag between event occurrence and availability in reporting)<\/li>\n
                              • Duplicate rate and invalid record rate<\/li>\n
                              • Coverage rate (what portion of total offline sales is represented)<\/li>\n<\/ul>\n\n\n\n

                                These metrics keep Paid Marketing<\/strong> optimization grounded in trustworthy measurement.<\/p>\n\n\n\n

                                Future Trends of Offline Conversion Set<\/h2>\n\n\n\n

                                Several trends are shaping how an Offline Conversion Set<\/strong> evolves in Paid Marketing<\/strong>:<\/p>\n\n\n\n

                                  \n
                                • Privacy-driven measurement changes:<\/strong> As tracking becomes more restricted, first-party and consented offline data becomes more important\u2014and more scrutinized.<\/li>\n
                                • More automation and \u201calways-on\u201d pipelines:<\/strong> Teams are moving from manual uploads to reliable syncing and monitoring.<\/li>\n
                                • AI-assisted optimization:<\/strong> Paid Social<\/strong> platforms increasingly rely on conversion feedback quality; richer offline signals can improve targeting and bidding decisions.<\/li>\n
                                • Better value-based optimization:<\/strong> Expect more focus on sending conversion value (margin-aware, LTV-informed) rather than simple counts.<\/li>\n
                                • Modeled and blended measurement:<\/strong> Offline conversion uploads will increasingly be combined with experiments, incrementality testing, and econometric methods to validate true impact.<\/li>\n<\/ul>\n\n\n\n

                                  The long-term direction is clear: an Offline Conversion Set<\/strong> becomes a core asset for resilient, privacy-aware Paid Marketing<\/strong>.<\/p>\n\n\n\n

                                  Offline Conversion Set vs Related Terms<\/h2>\n\n\n\n

                                  Offline Conversion Set vs Offline Conversion<\/h3>\n\n\n\n

                                  An offline conversion<\/strong> is the event itself (e.g., \u201cpurchase in-store\u201d). An Offline Conversion Set<\/strong> is the organized structure that groups and manages many offline conversions so they can be consistently attributed and analyzed across Paid Social<\/strong> and other Paid Marketing<\/strong> efforts.<\/p>\n\n\n\n

                                  Offline Conversion Set vs Server-side conversion tracking<\/h3>\n\n\n\n

                                  Server-side tracking typically captures online or app events from your server environment (often faster and more reliable than browser tags). An Offline Conversion Set<\/strong> focuses on outcomes that occur outside the web\/app context\u2014like POS sales or CRM stage changes\u2014though both approaches often coexist in a mature measurement strategy.<\/p>\n\n\n\n

                                  Offline Conversion Set vs CRM integration<\/h3>\n\n\n\n

                                  CRM integration is the connectivity between your CRM and marketing\/ad systems. An Offline Conversion Set<\/strong> is the measurement framework and event grouping that determines what<\/em> gets sent, how<\/em> it\u2019s defined, and how<\/em> it\u2019s used for reporting and optimization.<\/p>\n\n\n\n

                                  Who Should Learn Offline Conversion Set<\/h2>\n\n\n\n
                                    \n
                                  • Marketers:<\/strong> To optimize Paid Marketing<\/strong> spend toward revenue, not just leads.<\/li>\n
                                  • Paid Social specialists:<\/strong> To improve campaign learning with higher-quality conversion signals and reduce misleading CPL-only decisions.<\/li>\n
                                  • Analysts:<\/strong> To build trustworthy attribution and funnel reporting across online and offline touchpoints.<\/li>\n
                                  • Agencies:<\/strong> To prove impact beyond vanity metrics and retain clients with revenue-linked reporting.<\/li>\n
                                  • Business owners and founders:<\/strong> To understand which campaigns drive real sales and where growth constraints live.<\/li>\n
                                  • Developers and marketing ops:<\/strong> To implement reliable pipelines, data validation, and privacy-safe handling of identifiers.<\/li>\n<\/ul>\n\n\n\n

                                    Summary of Offline Conversion Set<\/h2>\n\n\n\n

                                    An Offline Conversion Set<\/strong> is a structured way to collect, define, and share offline business outcomes\u2014like in-store purchases or closed-won deals\u2014so they can be measured and used to optimize campaigns. It matters because it transforms Paid Marketing<\/strong> from proxy-based optimization to outcome-based optimization. In Paid Social<\/strong>, it strengthens attribution, improves algorithmic learning, and helps teams focus on the conversions that actually sustain the business.<\/p>\n\n\n\n

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

                                    1) What is an Offline Conversion Set used for?<\/h3>\n\n\n\n

                                    An Offline Conversion Set<\/strong> is used to organize and send offline outcomes (sales, appointments, signed contracts) into your campaign measurement workflow so you can attribute revenue and optimize Paid Marketing<\/strong> based on real results.<\/p>\n\n\n\n

                                    2) Do I need an Offline Conversion Set if I already track website conversions?<\/h3>\n\n\n\n

                                    If a meaningful portion of revenue happens offline\u2014or if online conversions don\u2019t reflect true lead quality\u2014an Offline Conversion Set<\/strong> helps you optimize beyond form fills and toward offline-qualified outcomes.<\/p>\n\n\n\n

                                    3) How does Offline Conversion Set help Paid Social performance?<\/h3>\n\n\n\n

                                    In Paid Social<\/strong>, better conversion feedback improves reporting and can improve optimization because campaigns learn from higher-intent signals like \u201cqualified appointment\u201d or \u201cpurchase,\u201d not just clicks.<\/p>\n\n\n\n

                                    4) What data is typically required to build an Offline Conversion Set?<\/h3>\n\n\n\n

                                    You generally need a consistent event definition (name, timestamp, value where applicable) plus matching identifiers captured with appropriate consent (often email\/phone or other agreed identifiers) and clean source-of-truth data from CRM\/POS systems.<\/p>\n\n\n\n

                                    5) How often should offline conversions be uploaded or synced?<\/h3>\n\n\n\n

                                    It depends on your sales cycle. High-volume retail may benefit from daily syncing, while B2B deals might be uploaded weekly. Faster feedback usually helps Paid Marketing<\/strong>, but only if data quality is strong.<\/p>\n\n\n\n

                                    6) What\u2019s the biggest reason Offline Conversion Set projects fail?<\/h3>\n\n\n\n

                                    The most common failure is unclear conversion definitions and weak data hygiene\u2014messy CRM stages, inconsistent timestamps, duplicates, and poor governance\u2014leading to reporting that stakeholders don\u2019t trust.<\/p>\n\n\n\n

                                    7) Can an Offline Conversion Set measure phone sales and call center outcomes?<\/h3>\n\n\n\n

                                    Yes. If your call center records outcomes (booked appointment, sale completed) in a system you can export or sync, those events can be included in an Offline Conversion Set<\/strong> and used to evaluate Paid Social<\/strong> and broader Paid Marketing<\/strong> effectiveness.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                    Offline sales still drive revenue for many businesses\u2014think retail stores, phone orders, field sales, clinics, dealerships, and franchises. An **Offline Conversion Set** is the bridge that helps modern **Paid Marketing** teams connect those real-world outcomes back to the campaigns that influenced them, especially within **Paid Social** where optimization depends heavily on conversion feedback.<\/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":[1910],"tags":[],"class_list":["post-10507","post","type-post","status-publish","format-standard","hentry","category-paid-social"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/10507","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=10507"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/10507\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=10507"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=10507"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=10507"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}