{"id":10734,"date":"2026-03-29T20:57:37","date_gmt":"2026-03-29T20:57:37","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/first-party-data\/"},"modified":"2026-03-29T20:57:37","modified_gmt":"2026-03-29T20:57:37","slug":"first-party-data","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/first-party-data\/","title":{"rendered":"First-party Data: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Programmatic Advertising"},"content":{"rendered":"\n

First-party Data is the information a business collects directly from its own customers, prospects, and audiences through owned touchpoints\u2014such as its website, app, email program, customer support, and in-store interactions. In Paid Marketing<\/strong>, First-party Data has become the most dependable input for targeting, measurement, and personalization because it is permission-based, brand-owned, and tied to real customer relationships rather than rented identifiers.<\/p>\n\n\n\n

This matters even more in Programmatic Advertising<\/strong>, where automated buying systems need high-quality signals to decide who to reach, when to bid, and how to tailor creative. As privacy expectations rise and third-party tracking becomes less reliable, First-party Data is increasingly the strategic advantage that separates efficient, scalable campaigns from wasted spend.<\/p>\n\n\n\n

What Is First-party Data?<\/h2>\n\n\n\n

First-party Data is data your organization gathers directly from people who interact with your brand. It includes information users provide intentionally (like email sign-ups or preference settings) and behavioral signals captured through your owned digital properties (like product views or feature usage in your app). The core concept is ownership and direct collection: you control how it\u2019s collected, stored, and used\u2014subject to consent and applicable privacy laws.<\/p>\n\n\n\n

From a business perspective, First-party Data is not just \u201cdata points.\u201d It\u2019s an asset that represents customer intent, lifecycle stage, and relationship value. In Paid Marketing<\/strong>, it\u2019s commonly used to build audiences, suppress existing customers from acquisition campaigns, personalize messaging, and improve conversion rates by aligning ads with real customer behavior.<\/p>\n\n\n\n

Inside Programmatic Advertising<\/strong>, First-party Data often powers:\n– Audience creation (e.g., cart abandoners, high-LTV buyers)\n– Bidding and optimization signals (e.g., predicted conversion likelihood)\n– Measurement and attribution approaches that rely less on third-party identifiers<\/p>\n\n\n\n

Why First-party Data Matters in Paid Marketing<\/h2>\n\n\n\n

First-party Data matters because it\u2019s the closest thing to \u201cground truth\u201d in marketing: it comes from direct interactions with your brand and can be linked to outcomes like purchases, renewals, leads, or retention. When used well, it improves both performance and decision-making.<\/p>\n\n\n\n

Key reasons it\u2019s strategically important in Paid Marketing<\/strong> include:<\/p>\n\n\n\n

    \n
  • More accurate targeting and exclusions:<\/strong> You can reach prospects who resemble your best customers while excluding existing buyers from acquisition campaigns.<\/li>\n
  • Better relevance and personalization:<\/strong> Messaging can reflect what a user actually did (viewed a category, downloaded a guide, requested a demo), not what a third-party profile guessed.<\/li>\n
  • Stronger measurement resilience:<\/strong> When cookie-based tracking or cross-site identity becomes limited, First-party Data supports more stable conversion tracking and incrementality testing.<\/li>\n
  • Competitive advantage:<\/strong> Competitors can buy similar ad inventory, but they can\u2019t buy your customer relationships and the insights they generate.<\/li>\n<\/ul>\n\n\n\n

    In Programmatic Advertising<\/strong>, where automation rewards clean, reliable inputs, First-party Data can reduce wasted bids, improve frequency management, and accelerate learning for optimization systems.<\/p>\n\n\n\n

    How First-party Data Works<\/h2>\n\n\n\n

    First-party Data is a concept, but it becomes powerful through an operational workflow. A practical way to understand how it works in Paid Marketing<\/strong> and Programmatic Advertising<\/strong> is:<\/p>\n\n\n\n

      \n
    1. \n

      Input (collection and consent)<\/strong>\n – A user visits your website, uses your app, signs up for emails, requests a quote, or purchases.\n – You collect event data (page views, add-to-cart, form submit), identity signals (email, login ID), and declared preferences (topics, frequency, product interests).\n – Consent is captured and stored based on your region and policies.<\/p>\n<\/li>\n

    2. \n

      Processing (identity, quality, and governance)<\/strong>\n – Data is standardized (naming conventions, deduplication) and connected across systems (web analytics + CRM + commerce platform).\n – Identity resolution may connect multiple sessions or devices to a known user when appropriate and permitted.\n – Quality checks remove bots, internal traffic, and malformed events.<\/p>\n<\/li>\n

    3. \n

      Execution (activation in campaigns)<\/strong>\n – Audiences are created (e.g., \u201cpricing page visitors in last 14 days\u201d or \u201ccustomers with renewal in 30 days\u201d).\n – Audiences and conversion events are shared with ad platforms or used in bidding logic.\n – Creative and landing experiences are personalized based on segment intent.<\/p>\n<\/li>\n

    4. \n

      Output (measurement and improvement)<\/strong>\n – Campaign performance is evaluated using conversions, revenue, lead quality, or retention.\n – Learnings feed back into audience definitions, creative testing, and budget allocation.\n – Over time, First-party Data becomes a flywheel: better data improves campaigns, and better campaigns generate more high-quality interactions and data.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

      Key Components of First-party Data<\/h2>\n\n\n\n

      First-party Data is only as useful as the system around it. The major components typically include:<\/p>\n\n\n\n

      Data inputs (what you capture)<\/h3>\n\n\n\n
        \n
      • Website and app events (views, clicks, searches, add-to-cart, scroll depth)<\/li>\n
      • Form and lead data (newsletter sign-up, demo request, quote request)<\/li>\n
      • Transaction and subscription data (orders, renewals, refunds, average order value)<\/li>\n
      • Customer support and success signals (tickets, CSAT, feature adoption)<\/li>\n
      • Email\/SMS engagement (opens, clicks, unsubscribes, topic preferences)<\/li>\n<\/ul>\n\n\n\n

        Systems (where it lives)<\/h3>\n\n\n\n
          \n
        • Web\/app analytics platforms<\/li>\n
        • CRM and marketing automation systems<\/li>\n
        • Data warehouses or data lakes (for centralized analysis)<\/li>\n
        • Customer data platforms (CDPs) or identity services (for unification and activation)<\/li>\n<\/ul>\n\n\n\n

          Processes (how it stays reliable)<\/h3>\n\n\n\n
            \n
          • Tagging plans and event taxonomies<\/li>\n
          • Consent and preference management<\/li>\n
          • Data validation and monitoring (QA, anomaly detection)<\/li>\n
          • Documentation and access controls<\/li>\n<\/ul>\n\n\n\n

            Governance and responsibilities (who owns what)<\/h3>\n\n\n\n
              \n
            • Marketing owns activation and audience strategy for Paid Marketing<\/strong><\/li>\n
            • Analytics\/data teams own schema, quality, and pipelines<\/li>\n
            • Legal\/privacy partners define compliant collection and retention<\/li>\n
            • Product and engineering ensure instrumentation is accurate and scalable<\/li>\n<\/ul>\n\n\n\n

              Types of First-party Data<\/h2>\n\n\n\n

              First-party Data doesn\u2019t have \u201cofficial\u201d types in the way ad formats do, but several practical distinctions matter for Programmatic Advertising<\/strong> and campaign execution:<\/p>\n\n\n\n

              1) Declared vs. observed data<\/h3>\n\n\n\n
                \n
              • Declared First-party Data:<\/strong> Users explicitly provide it (email, preferences, survey responses).<\/li>\n
              • Observed First-party Data:<\/strong> Behavioral signals you record (product views, time on site, feature usage).<\/li>\n<\/ul>\n\n\n\n

                2) Known vs. anonymous data<\/h3>\n\n\n\n
                  \n
                • Known:<\/strong> Linked to an identified customer or lead (login, form fill).<\/li>\n
                • Anonymous:<\/strong> Session-based or device-based events without direct identity, still useful for retargeting and on-site personalization where allowed.<\/li>\n<\/ul>\n\n\n\n

                  3) Behavioral, transactional, and relationship data<\/h3>\n\n\n\n
                    \n
                  • Behavioral:<\/strong> Browsing, engagement, content consumption.<\/li>\n
                  • Transactional:<\/strong> Purchases, renewals, refunds, subscription tier.<\/li>\n
                  • Relationship:<\/strong> Customer status, loyalty level, support history, lifecycle stage.<\/li>\n<\/ul>\n\n\n\n

                    4) Real-time vs. batch data<\/h3>\n\n\n\n
                      \n
                    • Real-time:<\/strong> Enables immediate triggers (cart abandonment messaging, suppression of recent buyers).<\/li>\n
                    • Batch:<\/strong> Updates daily\/weekly, often sufficient for broader audience refresh and reporting.<\/li>\n<\/ul>\n\n\n\n

                      Real-World Examples of First-party Data<\/h2>\n\n\n\n

                      Example 1: Ecommerce retargeting with intent tiers<\/h3>\n\n\n\n

                      A retailer segments site visitors into tiers: \u201cviewed product,\u201d \u201cadded to cart,\u201d and \u201cstarted checkout.\u201d These are built from First-party Data events and activated in Paid Marketing<\/strong> across display and social. In Programmatic Advertising<\/strong>, higher-intent tiers receive higher bids and different creative (e.g., urgency messaging for checkout starters), while low-intent visitors see category-level ads.<\/p>\n\n\n\n

                      Example 2: B2B lead quality optimization<\/h3>\n\n\n\n

                      A SaaS company imports CRM stages (MQL, SQL, closed-won) as First-party Data and uses it to optimize campaigns toward downstream outcomes, not just form fills. In Programmatic Advertising<\/strong>, the bidding strategy prioritizes audiences similar to closed-won accounts, and remarketing focuses on high-fit leads who visited pricing or integration pages.<\/p>\n\n\n\n

                      Example 3: Customer suppression and upsell<\/h3>\n\n\n\n

                      A subscription brand uses purchase and plan data as First-party Data to exclude current customers from acquisition campaigns and instead run upsell\/renewal messages. In Paid Marketing<\/strong>, this reduces wasted impressions and improves customer experience. In Programmatic Advertising<\/strong>, frequency caps and audience exclusions prevent repetitive ads that can cause churn or brand fatigue.<\/p>\n\n\n\n

                      Benefits of Using First-party Data<\/h2>\n\n\n\n

                      Using First-party Data well can improve both efficiency and effectiveness across Paid Marketing<\/strong>:<\/p>\n\n\n\n

                        \n
                      • Higher conversion rates:<\/strong> Ads align with demonstrated intent and lifecycle stage.<\/li>\n
                      • Lower acquisition costs:<\/strong> Better targeting and exclusions reduce wasted spend and improve ROAS.<\/li>\n
                      • Improved creative relevance:<\/strong> Messaging can reflect categories viewed, content consumed, or stage in the funnel.<\/li>\n
                      • More resilient measurement:<\/strong> First-party conversion signals are generally more stable than third-party tracking dependencies.<\/li>\n
                      • Better customer experience:<\/strong> Fewer irrelevant ads, more helpful sequencing, and smarter frequency management.<\/li>\n
                      • Faster optimization loops:<\/strong> Clean inputs help Programmatic Advertising<\/strong> algorithms learn more quickly and accurately.<\/li>\n<\/ul>\n\n\n\n

                        Challenges of First-party Data<\/h2>\n\n\n\n

                        First-party Data is powerful, but not automatic. Common obstacles include:<\/p>\n\n\n\n

                          \n
                        • Fragmentation across systems:<\/strong> CRM, analytics, ecommerce, and support data may not connect cleanly.<\/li>\n
                        • Identity complexity:<\/strong> Stitching users across devices and sessions is difficult, and must be handled carefully with consent.<\/li>\n
                        • Instrumentation gaps:<\/strong> Missing events, inconsistent naming, or broken tags can silently degrade audience quality.<\/li>\n
                        • Privacy and compliance requirements:<\/strong> Consent, retention, and user rights requests add operational complexity.<\/li>\n
                        • Scale limitations:<\/strong> Smaller businesses may have limited traffic or customer volume, reducing audience sizes for Programmatic Advertising<\/strong>.<\/li>\n
                        • Measurement blind spots:<\/strong> Some conversions happen offline or in walled gardens, complicating closed-loop reporting.<\/li>\n<\/ul>\n\n\n\n

                          Best Practices for First-party Data<\/h2>\n\n\n\n

                          To make First-party Data actionable and trustworthy in Paid Marketing<\/strong>, focus on these practices:<\/p>\n\n\n\n

                            \n
                          1. \n

                            Start with use cases, not tools<\/strong>\n – Define what you need: suppression, retargeting, LTV-based bidding, lead scoring, churn prevention.<\/p>\n<\/li>\n

                          2. \n

                            Create a tagging plan and event taxonomy<\/strong>\n – Standardize event names, parameters, and definitions (e.g., what counts as \u201ccheckout started\u201d).\n – Document everything so teams can build consistent audiences.<\/p>\n<\/li>\n

                          3. \n

                            Prioritize consent and transparency<\/strong>\n – Ensure consent is captured, stored, and honored across platforms.\n – Keep data collection proportional to value (collect what you will use).<\/p>\n<\/li>\n

                          4. \n

                            Unify key identifiers responsibly<\/strong>\n – Align around consistent IDs (customer ID, hashed email where appropriate) to reduce duplication.\n – Separate \u201canonymous browsing\u201d from \u201cknown user\u201d logic.<\/p>\n<\/li>\n

                          5. \n

                            Build audiences that map to decisions<\/strong>\n – Create segments aligned to funnel stages and business value (high margin categories, repeat buyers, high-fit accounts).<\/p>\n<\/li>\n

                          6. \n

                            Close the loop with outcomes<\/strong>\n – Import offline conversions or CRM stages when possible.\n – Optimize toward quality signals (revenue, retention, qualified leads), not just clicks.<\/p>\n<\/li>\n

                          7. \n

                            Monitor data quality continuously<\/strong>\n – Track event volumes, match rates, audience sizes, and conversion event stability.\n – Set alerts for sudden drops (often caused by site releases or tag changes).<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                            Tools Used for First-party Data<\/h2>\n\n\n\n

                            First-party Data isn\u2019t a single tool\u2014it\u2019s a stack. In Paid Marketing<\/strong> and Programmatic Advertising<\/strong>, common tool categories include:<\/p>\n\n\n\n

                              \n
                            • Analytics tools:<\/strong> Collect and analyze on-site\/app behavior, define conversion events, and segment audiences.<\/li>\n
                            • Tag management systems:<\/strong> Deploy and manage tracking tags and event definitions without constant code releases.<\/li>\n
                            • CRM systems:<\/strong> Store lead\/customer records, pipeline stages, and sales outcomes for quality-based optimization.<\/li>\n
                            • Marketing automation platforms:<\/strong> Manage email\/SMS journeys and sync lifecycle states that inform paid audiences.<\/li>\n
                            • Data warehouses and BI\/reporting dashboards:<\/strong> Centralize data for modeling, cohort analysis, and performance reporting.<\/li>\n
                            • Consent and preference management:<\/strong> Capture and enforce user choices across tracking and marketing.<\/li>\n
                            • Ad platforms and programmatic platforms:<\/strong> Activate audiences, apply exclusions, and optimize bids using conversion signals.<\/li>\n<\/ul>\n\n\n\n

                              The goal is interoperability: reliable collection, clean transformation, and consistent activation across channels.<\/p>\n\n\n\n

                              Metrics Related to First-party Data<\/h2>\n\n\n\n

                              To evaluate First-party Data in real operations, measure both marketing performance and data health:<\/p>\n\n\n\n

                              Paid performance metrics<\/h3>\n\n\n\n
                                \n
                              • ROAS \/ MER (where applicable)<\/li>\n
                              • CPA \/ CPL (cost per acquisition\/lead)<\/li>\n
                              • Conversion rate by audience segment<\/li>\n
                              • Incremental lift (via holdouts or experiments)<\/li>\n
                              • Frequency and reach efficiency (especially in Programmatic Advertising<\/strong>)<\/li>\n<\/ul>\n\n\n\n

                                Data quality and activation metrics<\/h3>\n\n\n\n
                                  \n
                                • Event coverage (are key actions tracked consistently?)<\/li>\n
                                • Match rate (percentage of users that can be linked to an identifier, where permitted)<\/li>\n
                                • Audience size and refresh rate (how quickly segments update)<\/li>\n
                                • Duplicate rate and ID consistency<\/li>\n
                                • Time-to-availability (latency from event to activation)<\/li>\n<\/ul>\n\n\n\n

                                  Business outcome metrics<\/h3>\n\n\n\n
                                    \n
                                  • Lead-to-opportunity and opportunity-to-close rates (B2B)<\/li>\n
                                  • Repeat purchase rate and LTV (B2C\/ecommerce)<\/li>\n
                                  • Retention\/churn and expansion revenue (subscription models)<\/li>\n<\/ul>\n\n\n\n

                                    Future Trends of First-party Data<\/h2>\n\n\n\n

                                    First-party Data is evolving quickly as privacy, platforms, and AI capabilities change:<\/p>\n\n\n\n

                                      \n
                                    • More modeled measurement:<\/strong> Expect broader use of modeled conversions and aggregated reporting, with First-party Data improving model accuracy.<\/li>\n
                                    • AI-driven segmentation and creative:<\/strong> AI will increasingly turn First-party Data into predictive audiences (propensity to buy, churn risk) and dynamic creative strategies.<\/li>\n
                                    • Privacy-by-design operations:<\/strong> Consent, minimization, and retention controls will become standard operating requirements, not legal afterthoughts.<\/li>\n
                                    • Server-side and durable data pipelines:<\/strong> More brands will shift from fragile client-side tracking to more controlled collection methods and better governance.<\/li>\n
                                    • Stronger first-party identity strategies:<\/strong> Login experiences, loyalty programs, and value exchanges will be central to scaling addressable audiences ethically.<\/li>\n
                                    • Tighter integration with <\/strong>Programmatic Advertising****: Activation will focus on privacy-safe audience sharing, clean-room approaches, and improved on-platform conversion quality signals.<\/li>\n<\/ul>\n\n\n\n

                                      In modern Paid Marketing<\/strong>, the brands that treat First-party Data as a product\u2014owned, maintained, and improved\u2014will outperform those that treat it as a byproduct.<\/p>\n\n\n\n

                                      First-party Data vs Related Terms<\/h2>\n\n\n\n

                                      First-party Data vs third-party data<\/h3>\n\n\n\n
                                        \n
                                      • First-party Data<\/strong> is collected directly by the brand from its own touchpoints.<\/li>\n
                                      • Third-party data<\/strong> is acquired from external providers who aggregate data across multiple sources.\nPractically, First-party Data is usually more accurate for your customers and more privacy-sensitive; third-party data may offer scale but often has lower transparency and reliability.<\/li>\n<\/ul>\n\n\n\n

                                        First-party Data vs zero-party data<\/h3>\n\n\n\n
                                          \n
                                        • Zero-party data<\/strong> is information a customer intentionally and proactively shares (preferences, goals, purchase intent questionnaires).<\/li>\n
                                        • First-party Data<\/strong> includes zero-party-like declared inputs but also behavioral and transactional signals.\nZero-party data is explicit and often high quality for personalization; First-party Data is broader and operationally central to Paid Marketing<\/strong>.<\/li>\n<\/ul>\n\n\n\n

                                          First-party Data vs second-party data<\/h3>\n\n\n\n
                                            \n
                                          • Second-party data<\/strong> is another company\u2019s First-party Data shared through a direct partnership (e.g., a retailer sharing insights with a brand).\nIt can be valuable, but it\u2019s not owned in the same way. For Programmatic Advertising<\/strong>, the governance and permissions around second-party data require extra scrutiny.<\/li>\n<\/ul>\n\n\n\n

                                            Who Should Learn First-party Data<\/h2>\n\n\n\n
                                              \n
                                            • Marketers<\/strong> need it to build better audiences, improve ROAS, and create smarter lifecycle campaigns in Paid Marketing<\/strong>.<\/li>\n
                                            • Analysts<\/strong> rely on First-party Data to validate performance, design experiments, and connect spend to outcomes.<\/li>\n
                                            • Agencies<\/strong> use it to differentiate strategy, prove incrementality, and build durable measurement plans across Programmatic Advertising<\/strong> channels.<\/li>\n
                                            • Business owners and founders<\/strong> benefit from understanding how data becomes an asset that compounds marketing efficiency over time.<\/li>\n
                                            • Developers and data teams<\/strong> need to instrument events, manage pipelines, and ensure privacy-safe activation so marketing can execute reliably.<\/li>\n<\/ul>\n\n\n\n

                                              Summary of First-party Data<\/h2>\n\n\n\n

                                              First-party Data is the customer and audience information your business collects directly through its owned channels. It matters because it\u2019s accurate, brand-owned, and increasingly essential as third-party tracking weakens. In Paid Marketing<\/strong>, First-party Data supports targeting, suppression, personalization, and measurement that align with real business outcomes. In Programmatic Advertising<\/strong>, it improves bidding signals, audience quality, and optimization speed\u2014turning automation into a competitive advantage when the underlying data is trustworthy.<\/p>\n\n\n\n

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

                                              1) What is First-party Data in simple terms?<\/h3>\n\n\n\n

                                              First-party Data is information your company collects directly from people who interact with your website, app, emails, or products\u2014such as purchases, form submissions, and on-site behavior\u2014used to improve marketing and customer experiences.<\/p>\n\n\n\n

                                              2) How is First-party Data used in Paid Marketing campaigns?<\/h3>\n\n\n\n

                                              In Paid Marketing<\/strong>, First-party Data is used to build remarketing audiences, exclude existing customers from acquisition, personalize ads by lifecycle stage, and optimize toward high-quality conversions like revenue or qualified leads.<\/p>\n\n\n\n

                                              3) Why is First-party Data important for Programmatic Advertising specifically?<\/h3>\n\n\n\n

                                              Programmatic Advertising<\/strong> relies on automated decisions. First-party Data provides stronger signals for who to target, how much to bid, and what to show\u2014often improving efficiency and reducing wasted impressions compared to generic targeting.<\/p>\n\n\n\n

                                              4) Do I need a CDP to use First-party Data?<\/h3>\n\n\n\n

                                              No. Many organizations start with analytics + a CRM + basic audience activation in ad platforms. A CDP can help unify and activate data at scale, but the foundation is clear instrumentation, governance, and defined use cases.<\/p>\n\n\n\n

                                              5) What are common sources of First-party Data?<\/h3>\n\n\n\n

                                              Typical sources include website\/app events, CRM records, ecommerce transactions, subscription and renewal data, email engagement, support tickets, surveys, and loyalty program activity.<\/p>\n\n\n\n

                                              6) What\u2019s the biggest risk when activating First-party Data?<\/h3>\n\n\n\n

                                              The biggest risks are using data without proper consent, misinterpreting what the data means (poor definitions), and activating low-quality or incomplete events that lead to wasted Paid Marketing<\/strong> spend and misleading measurement.<\/p>\n\n\n\n

                                              7) How can smaller businesses benefit from First-party Data with limited traffic?<\/h3>\n\n\n\n

                                              Focus on high-intent signals (checkout starts, demo requests, pricing visits), build smaller but precise remarketing segments, and use First-party Data for exclusions and messaging relevance. Even modest datasets can improve Programmatic Advertising<\/strong> efficiency when applied thoughtfully.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                              First-party Data is the information a business collects directly from its own customers, prospects, and audiences through owned touchpoints\u2014such as its website, app, email program, customer support, and in-store interactions. In **Paid Marketing**, First-party Data has become the most dependable input for targeting, measurement, and personalization because it is permission-based, brand-owned, and tied to real customer relationships rather than rented identifiers.<\/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":[1911],"tags":[],"class_list":["post-10734","post","type-post","status-publish","format-standard","hentry","category-programmatic-advertising"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/10734","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=10734"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/10734\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=10734"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=10734"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=10734"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}