{"id":7670,"date":"2026-03-24T22:02:39","date_gmt":"2026-03-24T22:02:39","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/customer-lifetime-value\/"},"modified":"2026-03-24T22:02:39","modified_gmt":"2026-03-24T22:02:39","slug":"customer-lifetime-value","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/customer-lifetime-value\/","title":{"rendered":"Customer Lifetime Value: What It Is, Key Features, Benefits, Use Cases, and How It Fits in CRM Marketing"},"content":{"rendered":"\n

Customer Lifetime Value (CLV) is one of the most useful concepts in modern growth strategy because it connects customer behavior to long-term profitability. In Direct & Retention Marketing<\/strong>, it helps teams decide how much to invest in acquisition, onboarding, lifecycle messaging, loyalty, and win-back programs\u2014based on what customers are likely to be worth over time, not just what they buy today.<\/p>\n\n\n\n

In CRM Marketing<\/strong>, Customer Lifetime Value becomes a planning and prioritization lens. It influences segmentation, personalization, channel mix, and even customer service policies. When a business understands CLV, it can align marketing spend with sustainable revenue, improve customer experience, and reduce waste across campaigns and audiences.<\/p>\n\n\n\n

What Is Customer Lifetime Value?<\/h2>\n\n\n\n

Customer Lifetime Value<\/strong> is an estimate of the total value a customer will generate for a business over the entire relationship, typically measured as revenue or (more usefully) profit contribution. In plain terms: it answers, \u201cHow much is this customer worth to us over time?\u201d<\/p>\n\n\n\n

The core concept is simple: customers aren\u2019t equal. Some buy once and churn; others purchase repeatedly, upgrade, refer friends, or stay subscribed for years. Customer Lifetime Value quantifies those differences so that Direct & Retention Marketing<\/strong> efforts can focus on outcomes that compound.<\/p>\n\n\n\n

From a business perspective, CLV helps determine whether acquisition costs are justified, which retention initiatives deserve funding, and how to balance short-term conversion goals with long-term profitability. Inside CRM Marketing<\/strong>, Customer Lifetime Value often powers segmentation (high\/medium\/low value), triggers (who gets a save offer), and journey design (who gets premium onboarding vs. standard education).<\/p>\n\n\n\n

Why Customer Lifetime Value Matters in Direct & Retention Marketing<\/h2>\n\n\n\n

Direct & Retention Marketing<\/strong> lives or dies on efficiency. If you optimize only for immediate conversions, you can accidentally \u201cbuy\u201d low-quality customers who churn quickly. Customer Lifetime Value shifts the goal from \u201cget the sale\u201d to \u201cget the right customer and keep them.\u201d<\/p>\n\n\n\n

Key reasons Customer Lifetime Value matters:<\/p>\n\n\n\n

    \n
  • Smarter budget allocation:<\/strong> CLV clarifies how much you can spend to acquire and retain customers while still meeting margin goals.<\/li>\n
  • Better channel decisions:<\/strong> Two channels can have identical first-purchase ROI but radically different Customer Lifetime Value outcomes due to churn or repeat rate differences.<\/li>\n
  • Retention as a growth lever:<\/strong> When CLV is measured and improved, retention work becomes a revenue strategy, not just a support function.<\/li>\n
  • Competitive advantage:<\/strong> Businesses that manage CLV well can outbid competitors on acquisition (because they can profitably pay more) and still win long-term.<\/li>\n<\/ul>\n\n\n\n

    In CRM Marketing<\/strong>, Customer Lifetime Value also provides a shared language between marketing, finance, and product. That alignment reduces \u201clocal optimization\u201d where each team hits its own metrics but the business underperforms.<\/p>\n\n\n\n

    How Customer Lifetime Value Works<\/h2>\n\n\n\n

    Customer Lifetime Value is both a metric and a decision system. In practice, it works like a loop that connects customer data to actions in Direct & Retention Marketing<\/strong> and CRM Marketing<\/strong>.<\/p>\n\n\n\n

      \n
    1. \n

      Inputs (what you observe)<\/strong>\n – Transactions: orders, subscription payments, refunds\n – Customer attributes: acquisition source, location, device, plan type\n – Engagement signals: email\/SMS response, app activity, support interactions\n – Costs: COGS, shipping, payment fees, discounts, ad spend (when available)<\/p>\n<\/li>\n

    2. \n

      Analysis (how you estimate value)<\/strong>\n – Calculate historical value to understand what customers have already produced.\n – Model future value using retention\/churn rates, repeat purchase probability, and expected margin.\n – Segment by cohorts (first purchase month, channel, product category) to see patterns.<\/p>\n<\/li>\n

    3. \n

      Execution (how you use it)<\/strong>\n – Bid and budget decisions in acquisition (how much to pay per lead\/customer).\n – Lifecycle automation (onboarding, replenishment reminders, cross-sell, win-back).\n – Offer strategy (discount thresholds, free shipping triggers, loyalty tiers).<\/p>\n<\/li>\n

    4. \n

      Outputs (what improves)<\/strong>\n – Higher retention, higher average order value, better cross-sell, and healthier margins.\n – More accurate forecasting for growth and inventory.\n – More efficient Direct & Retention Marketing<\/strong> spend because actions are tied to long-term outcomes.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

      The goal isn\u2019t a \u201cperfect\u201d CLV number. The goal is a useful, consistently measured Customer Lifetime Value framework that drives better decisions than short-term metrics alone.<\/p>\n\n\n\n

      Key Components of Customer Lifetime Value<\/h2>\n\n\n\n

      Effective Customer Lifetime Value work spans data, modeling, and operational execution. The most important components include:<\/p>\n\n\n\n

      Data inputs and definitions<\/h3>\n\n\n\n
        \n
      • Customer identity:<\/strong> consistent IDs across web, app, email, POS, and support<\/li>\n
      • Revenue normalization:<\/strong> gross revenue vs. net revenue (after returns, taxes, fees)<\/li>\n
      • Time window:<\/strong> how long \u201clifetime\u201d is (12 months, 24 months, or full observed period)<\/li>\n
      • Margin assumptions:<\/strong> whether you include COGS, shipping, and promo costs<\/li>\n<\/ul>\n\n\n\n

        Processes and governance<\/h3>\n\n\n\n
          \n
        • Metric ownership:<\/strong> typically shared between analytics, finance, and CRM Marketing<\/strong><\/li>\n
        • Documentation:<\/strong> clear definitions for CLV, AOV, churn, and cohort rules<\/li>\n
        • Model monitoring:<\/strong> drift checks as acquisition mix or pricing changes<\/li>\n
        • Experimentation:<\/strong> retention tests tied to CLV lift, not only click-through rates<\/li>\n<\/ul>\n\n\n\n

          Systems<\/h3>\n\n\n\n

          Customer Lifetime Value becomes actionable when it flows into tools used in Direct & Retention Marketing<\/strong>\u2014audience building, journey orchestration, and measurement.<\/p>\n\n\n\n

          Types of Customer Lifetime Value<\/h2>\n\n\n\n

          Customer Lifetime Value doesn\u2019t have one universal \u201ctype,\u201d but there are practical variants used in real organizations:<\/p>\n\n\n\n

          Historical CLV (backward-looking)<\/h3>\n\n\n\n

          Total value generated so far (revenue or margin). Useful for reporting, VIP identification, and loyalty tiers. Limited for planning because it doesn\u2019t predict the future.<\/p>\n\n\n\n

          Predictive CLV (forward-looking)<\/h3>\n\n\n\n

          Forecasts future value based on retention patterns and expected purchases. This is the most strategic version for budgeting and Direct & Retention Marketing<\/strong> decisions.<\/p>\n\n\n\n

          Cohort CLV<\/h3>\n\n\n\n

          CLV calculated for groups that share a start date or channel (e.g., \u201ccustomers acquired in January via paid search\u201d). Cohort CLV is excellent for comparing acquisition sources and onboarding changes.<\/p>\n\n\n\n

          Gross CLV vs. Contribution CLV<\/h3>\n\n\n\n
            \n
          • Gross CLV<\/strong> uses revenue.<\/li>\n
          • Contribution (profit) CLV<\/strong> accounts for costs and margins. For many businesses, contribution-based Customer Lifetime Value is the more accurate decision metric.<\/li>\n<\/ul>\n\n\n\n

            Individual-level vs. segment-level CLV<\/h3>\n\n\n\n

            Individual predictions enable 1:1 personalization in CRM Marketing<\/strong>. Segment-level CLV is simpler, often more stable, and good for teams starting out.<\/p>\n\n\n\n

            Real-World Examples of Customer Lifetime Value<\/h2>\n\n\n\n

            Example 1: Ecommerce replenishment and cross-sell<\/h3>\n\n\n\n

            A skincare brand notices that customers who buy a cleanser often reorder within 45\u201360 days, but only if they receive education emails and replenishment reminders. By using Customer Lifetime Value segmentation, CRM Marketing<\/strong> gives high-potential first-time buyers a stronger onboarding sequence, while low-potential segments receive lighter messaging. In Direct & Retention Marketing<\/strong>, the brand shifts budget toward acquisition sources that produce higher cohort CLV, even if first-order ROI looks similar.<\/p>\n\n\n\n

            Example 2: Subscription business reducing churn<\/h3>\n\n\n\n

            A subscription service identifies that customers who complete a \u201cfirst week activation\u201d checklist have significantly higher retention. The team models predictive Customer Lifetime Value and uses it to justify investment in lifecycle messaging and in-app guidance. In Direct & Retention Marketing<\/strong>, the company reduces discounting at signup and reallocates spend to activation and save offers that increase CLV instead of increasing low-quality signups.<\/p>\n\n\n\n

            Example 3: B2B lead nurturing and expansion revenue<\/h3>\n\n\n\n

            A B2B SaaS company tracks Customer Lifetime Value by segment (industry, company size, use case). The analysis shows some segments expand reliably after month three, while others churn early. CRM Marketing<\/strong> builds distinct nurture and onboarding paths to accelerate time-to-value and reduce early churn. In Direct & Retention Marketing<\/strong>, paid acquisition targets the segments with the strongest expansion-driven CLV, improving payback periods and forecasting confidence.<\/p>\n\n\n\n

            Benefits of Using Customer Lifetime Value<\/h2>\n\n\n\n

            Customer Lifetime Value creates both strategic clarity and operational efficiency:<\/p>\n\n\n\n

              \n
            • Improved marketing ROI:<\/strong> campaigns optimize for long-term profit, not just short-term conversions.<\/li>\n
            • Lower wasted spend:<\/strong> you avoid over-investing in low-retention audiences and channels.<\/li>\n
            • Better customer experience:<\/strong> high-value journeys get better onboarding, education, and service\u2014while still respecting fairness and brand standards.<\/li>\n
            • More accurate planning:<\/strong> finance and marketing align on payback windows, growth targets, and sustainable CAC.<\/li>\n
            • Stronger retention programs:<\/strong> Direct & Retention Marketing<\/strong> initiatives can be prioritized by expected CLV lift, not by intuition.<\/li>\n<\/ul>\n\n\n\n

              Challenges of Customer Lifetime Value<\/h2>\n\n\n\n

              Customer Lifetime Value is powerful, but it\u2019s easy to misuse or overstate. Common challenges include:<\/p>\n\n\n\n

                \n
              • Data fragmentation:<\/strong> customer identity issues across devices, channels, and offline purchases can distort CLV.<\/li>\n
              • Attribution limitations:<\/strong> tying lifetime value back to acquisition sources can be noisy, especially with privacy constraints.<\/li>\n
              • Margin complexity:<\/strong> refunds, chargebacks, shipping, and discounts can change profitability dramatically.<\/li>\n
              • Model risk:<\/strong> predictive CLV can be wrong if the business changes pricing, products, or acquisition mix.<\/li>\n
              • Short business history:<\/strong> newer brands lack enough repeat behavior to estimate long-term value reliably.<\/li>\n
              • Misaligned incentives:<\/strong> teams may chase a CLV number instead of improving the real drivers (retention, repeat rate, margin).<\/li>\n<\/ul>\n\n\n\n

                In CRM Marketing<\/strong>, the biggest practical barrier is often operational: even if you have CLV estimates, you need the ability to activate them in journeys and audiences.<\/p>\n\n\n\n

                Best Practices for Customer Lifetime Value<\/h2>\n\n\n\n

                To make Customer Lifetime Value useful in day-to-day Direct & Retention Marketing<\/strong>, focus on practicality and consistency:<\/p>\n\n\n\n

                  \n
                1. \n

                  Start simple, then mature<\/strong>\n – Begin with cohort-based or segment-based CLV before attempting fully individualized predictions.\n – Use a fixed horizon (e.g., 12-month CLV) if \u201clifetime\u201d is too ambiguous.<\/p>\n<\/li>\n

                2. \n

                  Use contribution margin when possible<\/strong>\n – Revenue-only CLV can encourage unprofitable growth if returns or shipping costs are high.<\/p>\n<\/li>\n

                3. \n

                  Separate measurement from optimization<\/strong>\n – Define CLV consistently for reporting, then create operational variants (e.g., \u201celigible-for-VIP\u201d score) for activation.<\/p>\n<\/li>\n

                4. \n

                  Tie experiments to CLV drivers<\/strong>\n – Test onboarding, replenishment timing, loyalty benefits, and save offers with outcomes like retention rate, repeat purchase rate, and net revenue retention.<\/p>\n<\/li>\n

                5. \n

                  Monitor model drift<\/strong>\n – Re-estimate Customer Lifetime Value assumptions when pricing, product mix, or acquisition channels shift.<\/p>\n<\/li>\n

                6. \n

                  Make it actionable in CRM Marketing<\/strong>\n – Push CLV segments into lifecycle journeys (welcome, post-purchase, win-back) with clear rules and guardrails.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                  Tools Used for Customer Lifetime Value<\/h2>\n\n\n\n

                  Customer Lifetime Value is not a single tool\u2014it\u2019s a capability supported by multiple systems across CRM Marketing<\/strong> and Direct & Retention Marketing<\/strong>:<\/p>\n\n\n\n

                    \n
                  • Analytics tools:<\/strong> cohort analysis, funnel tracking, retention curves, and experiment measurement<\/li>\n
                  • Data platforms and warehouses:<\/strong> unify events and transactions; create a reliable customer table<\/li>\n
                  • CRM systems:<\/strong> store customer profiles, status, and lifecycle stages; enable segmentation<\/li>\n
                  • Marketing automation tools:<\/strong> run email\/SMS\/push journeys triggered by CLV segments and behaviors<\/li>\n
                  • Ad platforms and audience tools:<\/strong> build lookalike\/seed audiences from high-CLV cohorts and suppress low-value segments<\/li>\n
                  • Reporting dashboards:<\/strong> standardized CLV views for executives and channel owners<\/li>\n
                  • SEO and content tools (supporting role):<\/strong> inform retention content topics and post-purchase education that can improve Customer Lifetime Value through better activation and reduced churn<\/li>\n<\/ul>\n\n\n\n

                    The key is integration: CLV insights should flow into the same places where Direct & Retention Marketing<\/strong> decisions are made.<\/p>\n\n\n\n

                    Metrics Related to Customer Lifetime Value<\/h2>\n\n\n\n

                    Customer Lifetime Value is connected to a set of metrics that explain why<\/em> CLV is rising or falling:<\/p>\n\n\n\n

                      \n
                    • Retention rate \/ churn rate:<\/strong> the strongest driver of long-term value in many categories<\/li>\n
                    • Repeat purchase rate:<\/strong> how often customers buy again within a period<\/li>\n
                    • Purchase frequency:<\/strong> average number of orders per customer per month\/quarter\/year<\/li>\n
                    • Average order value (AOV):<\/strong> useful, but should be assessed alongside returns and discount rate<\/li>\n
                    • Gross margin \/ contribution margin:<\/strong> turns revenue into profit-based CLV<\/li>\n
                    • Customer acquisition cost (CAC):<\/strong> compared against Customer Lifetime Value to assess sustainability<\/li>\n
                    • Payback period:<\/strong> time required to recover CAC from margin dollars<\/li>\n
                    • Net revenue retention (NRR) (common in B2B\/subscriptions):<\/strong> captures expansion and contraction effects<\/li>\n
                    • Refund\/return rate:<\/strong> can dramatically change realized value, especially in ecommerce<\/li>\n<\/ul>\n\n\n\n

                      In CRM Marketing<\/strong>, it\u2019s often helpful to build dashboards that show CLV alongside these drivers so teams can diagnose changes quickly.<\/p>\n\n\n\n

                      Future Trends of Customer Lifetime Value<\/h2>\n\n\n\n

                      Customer Lifetime Value is evolving as measurement and personalization change:<\/p>\n\n\n\n

                        \n
                      • AI-assisted prediction and segmentation:<\/strong> more teams will use machine learning to estimate CLV and identify \u201chigh potential\u201d customers earlier in the lifecycle.<\/li>\n
                      • More real-time activation:<\/strong> CLV scores will increasingly trigger actions during sessions (offers, education prompts) rather than only in batch campaigns.<\/li>\n
                      • Privacy-driven modeling shifts:<\/strong> as user-level tracking becomes harder, cohort CLV and first-party data strategies will become more important in Direct & Retention Marketing<\/strong>.<\/li>\n
                      • Incrementality focus:<\/strong> organizations will measure how much a campaign caused<\/em> CLV to increase, not just correlated changes.<\/li>\n
                      • Personalization with constraints:<\/strong> CRM Marketing<\/strong> teams will balance CLV-based personalization with fairness, brand consistency, and regulatory expectations.<\/li>\n<\/ul>\n\n\n\n

                        The direction is clear: Customer Lifetime Value will remain a central metric, but the best teams will treat it as a decision framework, not a single number.<\/p>\n\n\n\n

                        Customer Lifetime Value vs Related Terms<\/h2>\n\n\n\n

                        Customer Lifetime Value vs Average Order Value (AOV)<\/h3>\n\n\n\n

                        AOV measures the size of a typical purchase. Customer Lifetime Value measures the total value across the relationship. You can grow AOV with upsells, but if it increases returns or churn, CLV may fall.<\/p>\n\n\n\n

                        Customer Lifetime Value vs Customer Acquisition Cost (CAC)<\/h3>\n\n\n\n

                        CAC is what you spend to acquire a customer. Customer Lifetime Value is what you earn over time. Sustainable growth usually requires CLV to exceed CAC by a healthy margin, considering payback timing and risk.<\/p>\n\n\n\n

                        Customer Lifetime Value vs Retention Rate<\/h3>\n\n\n\n

                        Retention rate is a driver; CLV is an outcome. Two segments can have similar retention but different CLV due to different margins, frequency, or expansion revenue. In Direct & Retention Marketing<\/strong>, improving retention is often the fastest path to improving Customer Lifetime Value.<\/p>\n\n\n\n

                        Who Should Learn Customer Lifetime Value<\/h2>\n\n\n\n
                          \n
                        • Marketers:<\/strong> to plan spend, optimize lifecycle programs, and prioritize retention work in Direct & Retention Marketing<\/strong>.<\/li>\n
                        • Analysts:<\/strong> to build cohort models, connect product behavior to value, and create actionable segmentation for CRM Marketing<\/strong>.<\/li>\n
                        • Agencies:<\/strong> to prove long-term impact beyond short-term ROAS and to design retention-first strategies for clients.<\/li>\n
                        • Business owners and founders:<\/strong> to understand sustainable CAC, pricing flexibility, and what \u201cgood growth\u201d looks like.<\/li>\n
                        • Developers and data teams:<\/strong> to implement tracking, identity resolution, data pipelines, and reliable CLV calculations that power CRM Marketing<\/strong> automation.<\/li>\n<\/ul>\n\n\n\n

                          Summary of Customer Lifetime Value<\/h2>\n\n\n\n

                          Customer Lifetime Value (CLV)<\/strong> estimates the total value a customer will generate over the relationship, ideally measured in profit contribution rather than revenue alone. It matters because it aligns marketing decisions with long-term outcomes, helping teams spend smarter, retain better, and forecast more accurately. In Direct & Retention Marketing<\/strong>, it guides acquisition efficiency, onboarding, loyalty, and win-back strategies. In CRM Marketing<\/strong>, it strengthens segmentation and personalization by focusing attention on the customers and behaviors that build durable growth.<\/p>\n\n\n\n

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

                          1) What is Customer Lifetime Value and how is it used?<\/h3>\n\n\n\n

                          Customer Lifetime Value is an estimate of how much revenue or profit a customer will generate over time. It\u2019s used to set acquisition budgets, prioritize retention initiatives, and guide CRM Marketing<\/strong> segmentation and lifecycle journeys.<\/p>\n\n\n\n

                          2) How do you calculate CLV in a simple way?<\/h3>\n\n\n\n

                          A common starting point is:\nCLV \u2248 (Average order value \u00d7 Purchase frequency \u00d7 Expected customer lifespan) \u00d7 Gross margin<\/strong>\nThis is a simplification, but it\u2019s useful for early-stage analysis and cohort comparisons.<\/p>\n\n\n\n

                          3) What\u2019s the difference between historical CLV and predictive CLV?<\/h3>\n\n\n\n

                          Historical CLV totals what a customer has produced so far. Predictive CLV forecasts future value based on patterns like retention and repeat purchases. Predictive Customer Lifetime Value is typically more useful for Direct & Retention Marketing<\/strong> planning.<\/p>\n\n\n\n

                          4) How does CRM Marketing use CLV without overcomplicating campaigns?<\/h3>\n\n\n\n

                          Many teams start with CLV tiers (high\/medium\/low) or high-potential cohorts and then tailor onboarding, replenishment, and win-back journeys. CRM Marketing<\/strong> doesn\u2019t need perfect predictions\u2014just consistent segments that lead to better decisions.<\/p>\n\n\n\n

                          5) Can Customer Lifetime Value be used for non-subscription businesses?<\/h3>\n\n\n\n

                          Yes. Ecommerce, marketplaces, and even service businesses can estimate Customer Lifetime Value using repeat rate, reorder timing, and margin. Cohort-based CLV is often the easiest method for non-subscription models.<\/p>\n\n\n\n

                          6) What are the biggest mistakes teams make with CLV?<\/h3>\n\n\n\n

                          Common mistakes include using revenue-only CLV when margins vary, ignoring returns and discounts, assuming the past will always predict the future, and treating Customer Lifetime Value as a vanity metric instead of linking it to actions in Direct & Retention Marketing<\/strong>.<\/p>\n\n\n\n

                          7) How often should CLV models or assumptions be updated?<\/h3>\n\n\n\n

                          At minimum, revisit assumptions quarterly, and update faster when major changes occur (pricing, product mix, acquisition channels, or retention programs). In fast-moving businesses, monthly cohort reviews help keep Customer Lifetime Value aligned with reality.<\/p>\n","protected":false},"excerpt":{"rendered":"

                          Customer Lifetime Value (CLV) is one of the most useful concepts in modern growth strategy because it connects customer behavior to long-term profitability. In **Direct & Retention Marketing**, it helps teams decide how much to invest in acquisition, onboarding, lifecycle messaging, loyalty, and win-back programs\u2014based on what customers are likely to be worth over time, not just what they buy today.<\/p>\n","protected":false},"author":10235,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1893],"tags":[],"class_list":["post-7670","post","type-post","status-publish","format-standard","hentry","category-crm-marketing"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/7670","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=7670"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/7670\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=7670"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=7670"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=7670"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}