{"id":11115,"date":"2026-04-01T09:44:44","date_gmt":"2026-04-01T09:44:44","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/lost-impression-share-rank\/"},"modified":"2026-04-01T09:44:44","modified_gmt":"2026-04-01T09:44:44","slug":"lost-impression-share-rank","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/lost-impression-share-rank\/","title":{"rendered":"Lost Impression Share Rank: What It Is, Key Features, Benefits, Use Cases, and How It Fits in SEM \/ Paid Search"},"content":{"rendered":"\n

Lost Impression Share Rank is one of the most practical diagnostics in Paid Marketing<\/strong> because it answers a blunt question: How often could you have shown an ad, but didn\u2019t\u2014because you weren\u2019t competitive enough in the auction?<\/em> In SEM \/ Paid Search<\/strong>, that \u201ccompetitiveness\u201d is usually driven by a mix of bid, ad quality, relevance, and landing page experience.<\/p>\n\n\n\n

Understanding Lost Impression Share Rank<\/strong> helps you separate two very different problems: missing impressions because you\u2019re capped by budget versus missing impressions because your ad rank is too low. In modern Paid Marketing<\/strong>, where automation and auction-time decisions are common, this metric is still essential for deciding whether to invest more, improve quality, restructure campaigns, or simply stop chasing expensive inventory.<\/p>\n\n\n\n

What Is Lost Impression Share Rank?<\/h2>\n\n\n\n

Lost Impression Share Rank<\/strong> is the estimated percentage of eligible impressions you did not<\/em> receive because your ad\u2019s rank was not high enough to win (or place well enough in) the auction. Put simply: you were eligible to show, but you lost the opportunity due to ranking.<\/p>\n\n\n\n

The core concept is missed visibility caused by insufficient auction performance<\/strong>, not by a daily budget limit. In SEM \/ Paid Search<\/strong>, ad rank is typically influenced by:<\/p>\n\n\n\n

    \n
  • Your bid (or the effective bid used by automated bidding)<\/li>\n
  • Predicted click-through rate and ad relevance signals<\/li>\n
  • Landing page experience and other quality factors<\/li>\n
  • Expected impact of assets\/extensions and format<\/li>\n<\/ul>\n\n\n\n

    The business meaning of Lost Impression Share Rank<\/strong> is straightforward: it quantifies foregone reach<\/em> and often foregone revenue<\/em> when demand exists but your ads cannot compete. Within Paid Marketing<\/strong>, it\u2019s a planning and optimization lever\u2014helping teams decide whether to raise bids, improve creatives, tighten targeting, or fix funnel issues that lower quality signals.<\/p>\n\n\n\n

    Why Lost Impression Share Rank Matters in Paid Marketing<\/h2>\n\n\n\n

    In Paid Marketing<\/strong>, most scaling decisions are ultimately budget decisions. Lost Impression Share Rank<\/strong> tells you whether adding budget would even help. If rank loss is high, budget alone may not unlock more impressions because you\u2019re losing auctions on competitiveness, not on spend caps.<\/p>\n\n\n\n

    This metric also supports better forecasting. In SEM \/ Paid Search<\/strong>, leadership often asks, \u201cWhat happens if we increase spend by 20%?\u201d A high Lost Impression Share Rank<\/strong> suggests there is additional impression opportunity, but you may need a combination of bid and quality improvements to access it efficiently.<\/p>\n\n\n\n

    Competitively, Lost Impression Share Rank<\/strong> is an early warning system. Rising rank loss often correlates with new entrants, more aggressive competitor bidding, seasonal shifts, or a decline in your ad\/landing page performance. Catching those shifts early can protect share-of-voice on high-intent queries, where small visibility losses can produce outsized pipeline impact.<\/p>\n\n\n\n

    How Lost Impression Share Rank Works<\/h2>\n\n\n\n

    In practice, Lost Impression Share Rank<\/strong> is best understood as an auction eligibility and outcome model rather than a step-by-step \u201cprocess.\u201d Here\u2019s how it works in a practical workflow used in SEM \/ Paid Search<\/strong> operations:<\/p>\n\n\n\n

      \n
    1. \n

      Input \/ Trigger: You enter auctions you\u2019re eligible for<\/strong>\n Your keywords, targeting, match types, and settings determine when you\u2019re eligible. Eligibility is not the same as winning\u2014just that your ad could<\/em> have been considered for an impression.<\/p>\n<\/li>\n

    2. \n

      Analysis \/ Processing: The platform evaluates your ad rank<\/strong>\n The auction estimates your ability to meet thresholds for showing and for placement. Signals include bid, quality-related predictions, and context (device, location, query intent, and more).<\/p>\n<\/li>\n

    3. \n

      Execution \/ Application: Ads are shown to winners<\/strong>\n If your rank is high enough, you earn an impression. If not, you lose the impression opportunity.<\/p>\n<\/li>\n

    4. \n

      Output \/ Outcome: The platform estimates what you lost due to rank<\/strong>\nLost Impression Share Rank<\/strong> summarizes how much impression opportunity you missed because your ad rank was too low, usually expressed as a percentage.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

      Because it is an estimate (not a perfect census), treat Lost Impression Share Rank<\/strong> as a directional KPI for decision-making in Paid Marketing<\/strong>, not a precise accounting measure.<\/p>\n\n\n\n

      Key Components of Lost Impression Share Rank<\/h2>\n\n\n\n

      Several moving parts shape Lost Impression Share Rank<\/strong> and determine how actionable it is:<\/p>\n\n\n\n

        \n
      • Auction eligibility rules<\/strong>: Keyword match, targeting, geography, schedules, device adjustments, audience constraints, and policy compliance all affect which auctions you can enter in SEM \/ Paid Search<\/strong>.<\/li>\n
      • Bidding approach<\/strong>: Manual bids, portfolio strategies, and conversion\/value-based automation can all change your effective bid and your ability to compete.<\/li>\n
      • Quality and relevance signals<\/strong>: Ad-message alignment to query intent, asset coverage, and landing page experience influence rank beyond pure bid\u2014central to controlling Lost Impression Share Rank<\/strong> efficiently.<\/li>\n
      • Account structure and governance<\/strong>: Clear ownership of keyword strategy, negative keywords, ad testing, and landing page updates prevents avoidable rank loss in Paid Marketing<\/strong>.<\/li>\n
      • Measurement cadence<\/strong>: Regular segmentation by device, location, hour\/day, and query themes turns a single percentage into an actionable optimization map.<\/li>\n<\/ul>\n\n\n\n

        Types of Lost Impression Share Rank<\/h2>\n\n\n\n

        While Lost Impression Share Rank<\/strong> is a single concept, practitioners commonly use it in a few important contexts:<\/p>\n\n\n\n

        Search vs. other networks<\/h3>\n\n\n\n

        In SEM \/ Paid Search<\/strong>, rank loss is most often discussed for search auctions. Similar \u201crank-based loss\u201d ideas can exist in other auctioned placements, but interpretation varies because eligibility and placements differ by network.<\/p>\n\n\n\n

        Overall impression share loss vs. rank-specific loss<\/h3>\n\n\n\n

        Teams often pair Lost Impression Share Rank<\/strong> with loss due to budget. This distinction is crucial:\n– Rank loss implies competitiveness problems (bid and\/or quality).\n– Budget loss implies spend caps and pacing constraints.<\/p>\n\n\n\n

        Placement-level contexts (where available)<\/h3>\n\n\n\n

        Some reporting breaks out impression share for premium placements (such as top positions). Rank loss can be far more severe at the top of the page than overall, even when your total impression share looks acceptable.<\/p>\n\n\n\n

        Segment-specific rank loss<\/h3>\n\n\n\n

        The most actionable \u201ctype\u201d is segmentation:\n– Device<\/strong> (mobile rank loss can behave differently than desktop)\n– Location<\/strong> (certain regions may be disproportionately competitive)\n– Time<\/strong> (rank loss spikes during peak demand windows)\n– Brand vs. non-brand<\/strong> (brand often has lower rank loss; non-brand reveals competitive gaps)<\/p>\n\n\n\n

        Real-World Examples of Lost Impression Share Rank<\/h2>\n\n\n\n

        Example 1: Non-brand lead gen campaign losing high-intent auctions<\/h3>\n\n\n\n

        A B2B company runs SEM \/ Paid Search<\/strong> for \u201cworkflow automation software.\u201d Impression share is modest, and Lost Impression Share Rank<\/strong> is high. The team raises bids but sees CPA spike. The fix is not just bidding: they restructure ad groups by intent (e.g., \u201centerprise,\u201d \u201cSMB,\u201d \u201cintegrations\u201d), rewrite ads to match each intent, and improve landing pages for message match. Rank loss drops, impression share rises, and CPA stabilizes\u2014classic Paid Marketing<\/strong> efficiency improvement.<\/p>\n\n\n\n

        Example 2: Ecommerce category campaign with strong CTR but poor rank<\/h3>\n\n\n\n

        An ecommerce retailer has attractive ads and good CTR, yet Lost Impression Share Rank<\/strong> remains elevated. Segmentation shows rank loss is highest on mobile. The culprit is a slow mobile landing experience and weak product category content. After improving mobile performance and clarifying category relevance, rank improves without major bid increases\u2014demonstrating that rank loss is not \u201cjust a bidding problem\u201d in SEM \/ Paid Search<\/strong>.<\/p>\n\n\n\n

        Example 3: Local services advertiser with uneven coverage by city<\/h3>\n\n\n\n

        A services brand targets multiple cities. Account-level Lost Impression Share Rank<\/strong> looks acceptable, but city segmentation shows two high-value areas with severe rank loss due to aggressive competitors. The advertiser splits campaigns by city, tailors ad copy and landing pages, and applies location-based bid adjustments. The result is better coverage where it matters most, improving Paid Marketing<\/strong> ROI even if overall impression share stays similar.<\/p>\n\n\n\n

        Benefits of Using Lost Impression Share Rank<\/h2>\n\n\n\n

        Used correctly, Lost Impression Share Rank<\/strong> delivers concrete operational benefits in Paid Marketing<\/strong>:<\/p>\n\n\n\n

          \n
        • Sharper budget decisions<\/strong>: Avoids the mistake of increasing spend when competitiveness is the real issue.<\/li>\n
        • More efficient scaling<\/strong>: Reveals where quality improvements can unlock impressions with less CPC inflation.<\/li>\n
        • Better prioritization<\/strong>: Helps teams focus on the campaigns and segments where rank loss is suppressing growth.<\/li>\n
        • Improved customer experience<\/strong>: Rank gains often come from better ad relevance and landing pages\u2014benefiting users, not just metrics.<\/li>\n
        • Competitive resilience<\/strong>: In SEM \/ Paid Search<\/strong>, monitoring rank loss helps you react faster to competitor moves.<\/li>\n<\/ul>\n\n\n\n

          Challenges of Lost Impression Share Rank<\/h2>\n\n\n\n

          Despite its usefulness, Lost Impression Share Rank<\/strong> has real limitations:<\/p>\n\n\n\n

            \n
          • It\u2019s an estimate<\/strong>: Platforms model eligible impressions and lost opportunities; treat it as directional, especially for low-volume segments.<\/li>\n
          • Attribution and intent complexity<\/strong>: A lower rank might reduce impressions, but the \u201cright\u201d rank depends on profitability, not vanity visibility.<\/li>\n
          • Automation can obscure causes<\/strong>: With automated bidding, it can be harder to tell whether rank loss is due to conservative targets, poor quality signals, or limited conversion data.<\/li>\n
          • Mixed inventory value<\/strong>: Not all impressions are equally valuable; reducing Lost Impression Share Rank<\/strong> on broad queries can waste budget.<\/li>\n
          • Structural confounds<\/strong>: Tight targeting or overly restrictive negatives can reduce eligibility, which changes impression share dynamics and can mislead Paid Marketing<\/strong> planning if misunderstood.<\/li>\n<\/ul>\n\n\n\n

            Best Practices for Lost Impression Share Rank<\/h2>\n\n\n\n

            These practices help you improve Lost Impression Share Rank<\/strong> without sacrificing ROI in SEM \/ Paid Search<\/strong>:<\/p>\n\n\n\n

              \n
            1. \n

              Diagnose rank loss before adding budget<\/strong>\n Always compare rank loss vs budget loss. If rank loss dominates, focus on competitiveness first.<\/p>\n<\/li>\n

            2. \n

              Segment to find the real problem area<\/strong>\n Break down by device, location, time, brand vs non-brand, and key campaign themes. Fix the worst segment first.<\/p>\n<\/li>\n

            3. \n

              Improve relevance before raising bids aggressively<\/strong>\n Tighten ad group intent, expand ad variations, and strengthen message match. Quality-driven rank improvements often cost less than bid-only approaches.<\/p>\n<\/li>\n

            4. \n

              Strengthen landing page alignment and performance<\/strong>\n Ensure the page answers the query quickly and clearly. Mobile speed, clarity of offer, and trust elements matter for Paid Marketing<\/strong> outcomes.<\/p>\n<\/li>\n

            5. \n

              Use bidding targets that reflect business reality<\/strong>\n If using automated bidding, verify the conversion tracking, values, and targets (CPA\/ROAS). Overly strict targets can increase Lost Impression Share Rank<\/strong> by suppressing bids in competitive auctions.<\/p>\n<\/li>\n

            6. \n

              Protect profitable queries with structure<\/strong>\n Separate high-intent terms into their own campaigns\/ad groups so you can control budgets, bids, and messaging with precision.<\/p>\n<\/li>\n

            7. \n

              Monitor trends, not snapshots<\/strong>\n Watch week-over-week changes and annotate known events (seasonality, promos, site changes). SEM \/ Paid Search<\/strong> auctions shift fast.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

              Tools Used for Lost Impression Share Rank<\/h2>\n\n\n\n

              You don\u2019t \u201crun\u201d Lost Impression Share Rank<\/strong> as a feature; you measure and act on it through systems used in Paid Marketing<\/strong>:<\/p>\n\n\n\n

                \n
              • Ad platform reporting<\/strong>: Auction and impression share reports are the primary source of rank loss metrics and segment views.<\/li>\n
              • Analytics tools<\/strong>: Help validate whether rank improvements translate to business outcomes (conversion rate, revenue, lead quality).<\/li>\n
              • Reporting dashboards \/ BI<\/strong>: Centralize SEM \/ Paid Search<\/strong> KPIs, build alerts for rank loss spikes, and correlate with CPC, CVR, and revenue.<\/li>\n
              • Automation tools<\/strong>: Rules or scripts can flag campaigns where Lost Impression Share Rank<\/strong> exceeds thresholds or where rank loss rises suddenly.<\/li>\n
              • CRM systems<\/strong>: For lead gen, CRM data helps verify whether reducing rank loss improves qualified pipeline, not just form fills.<\/li>\n
              • Experimentation frameworks<\/strong>: Testing tools and structured experiments validate whether bid changes or creative\/landing page updates actually reduce rank loss profitably.<\/li>\n<\/ul>\n\n\n\n

                Metrics Related to Lost Impression Share Rank<\/h2>\n\n\n\n

                To interpret Lost Impression Share Rank<\/strong> correctly, pair it with adjacent metrics:<\/p>\n\n\n\n

                  \n
                • Impression Share<\/strong>: Your achieved share of eligible impressions; the companion KPI to rank loss.<\/li>\n
                • Lost Impression Share (Budget)<\/strong>: Confirms whether constraints are spend-related versus competitiveness-related.<\/li>\n
                • Click-through rate (CTR)<\/strong>: A proxy for relevance; can correlate with better quality signals in SEM \/ Paid Search<\/strong>.<\/li>\n
                • Average CPC \/ effective CPC<\/strong>: Indicates the cost of competing; monitor inflation when chasing lower rank loss.<\/li>\n
                • Conversion rate (CVR)<\/strong> and cost per acquisition (CPA)<\/strong>: Ensure rank improvements don\u2019t degrade efficiency.<\/li>\n
                • Return on ad spend (ROAS)<\/strong> or profit per click<\/strong>: Keeps Paid Marketing<\/strong> decisions tied to economics.<\/li>\n
                • Top-of-page \/ premium placement rates<\/strong> (where available): Shows whether rank loss is concentrated in top placements.<\/li>\n
                • Lead quality or downstream revenue<\/strong>: Especially important when increasing competitiveness changes traffic mix.<\/li>\n<\/ul>\n\n\n\n

                  Future Trends of Lost Impression Share Rank<\/h2>\n\n\n\n

                  Several industry shifts are changing how teams use Lost Impression Share Rank<\/strong> in Paid Marketing<\/strong>:<\/p>\n\n\n\n

                    \n
                  • AI-driven bidding and creatives<\/strong>: Automation will keep optimizing at auction-time, making rank loss more sensitive to conversion signal quality and creative relevance than to static bids.<\/li>\n
                  • More emphasis on first-party data<\/strong>: As measurement gets harder, feeding high-quality conversion events and values becomes essential to reduce rank loss profitably in SEM \/ Paid Search<\/strong>.<\/li>\n
                  • Privacy and modeling<\/strong>: With less observable user-level data, platforms rely more on modeled predictions. Rank loss will remain useful, but teams must validate business impact with robust experimentation and incrementality thinking.<\/li>\n
                  • Creative and landing page personalization<\/strong>: Better message match and faster experiences can improve competitiveness without pure bid escalation, making rank loss reduction more \u201cquality-led.\u201d<\/li>\n
                  • Cross-channel pressure<\/strong>: As Paid Marketing<\/strong> budgets shift across search, social, and retail media, rank loss metrics may increasingly guide where search is truly supply-constrained versus just under-optimized.<\/li>\n<\/ul>\n\n\n\n

                    Lost Impression Share Rank vs Related Terms<\/h2>\n\n\n\n

                    Lost Impression Share Rank vs Impression Share<\/h3>\n\n\n\n
                      \n
                    • Impression Share<\/strong> tells you how much of the available opportunity you captured.<\/li>\n
                    • Lost Impression Share Rank<\/strong> tells you what portion you missed specifically because your ad rank wasn\u2019t sufficient.\nUse them together to decide whether to pursue more coverage and how.<\/li>\n<\/ul>\n\n\n\n

                      Lost Impression Share Rank vs Lost Impression Share (Budget)<\/h3>\n\n\n\n
                        \n
                      • Rank loss = competitiveness problem (bid\/quality).<\/li>\n
                      • Budget loss = pacing\/spend cap problem.\nIn SEM \/ Paid Search<\/strong>, confusing these leads to wasted increases in budget or misguided bid hikes.<\/li>\n<\/ul>\n\n\n\n

                        Lost Impression Share Rank vs Ad Rank (as a concept)<\/h3>\n\n\n\n
                          \n
                        • Ad rank<\/strong> is the auction outcome that determines whether and where you show.<\/li>\n
                        • Lost Impression Share Rank<\/strong> is the aggregated impact of losing auctions because ad rank was too low.\nAd rank is the mechanism; rank loss is the measurable consequence.<\/li>\n<\/ul>\n\n\n\n

                          Who Should Learn Lost Impression Share Rank<\/h2>\n\n\n\n
                            \n
                          • Marketers<\/strong> need it to scale responsibly, balancing growth and efficiency in Paid Marketing<\/strong>.<\/li>\n
                          • Analysts<\/strong> use it to diagnose performance ceilings, build forecasts, and identify competitive shifts in SEM \/ Paid Search<\/strong>.<\/li>\n
                          • Agencies<\/strong> rely on it to prioritize optimization work and communicate clearly why performance is constrained.<\/li>\n
                          • Business owners and founders<\/strong> benefit because it translates platform complexity into an understandable growth lever: visibility lost due to competitiveness.<\/li>\n
                          • Developers and marketing ops<\/strong> teams use it to automate monitoring, create alerting, and integrate reporting into dashboards and pipelines.<\/li>\n<\/ul>\n\n\n\n

                            Summary of Lost Impression Share Rank<\/h2>\n\n\n\n

                            Lost Impression Share Rank<\/strong> measures the share of eligible impressions you miss because your ads aren\u2019t ranking high enough in the auction. In Paid Marketing<\/strong>, it\u2019s a critical diagnostic for deciding whether to improve bids, relevance, landing pages, or conversion signals\u2014rather than simply increasing spend. Within SEM \/ Paid Search<\/strong>, it helps teams protect high-intent visibility, respond to competitive pressure, and scale campaigns with a clearer link between auction dynamics and business outcomes.<\/p>\n\n\n\n

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

                            1) What does Lost Impression Share Rank tell me in practical terms?<\/h3>\n\n\n\n

                            It tells you how much visibility you missed because your ads weren\u2019t competitive enough in the auction. If it\u2019s high, you likely need better bids, better relevance\/quality, or both\u2014before expecting more reach from Paid Marketing<\/strong>.<\/p>\n\n\n\n

                            2) Is Lost Impression Share Rank the same as losing impressions because of budget?<\/h3>\n\n\n\n

                            No. Budget loss means your spend limit prevented additional impressions. Lost Impression Share Rank<\/strong> means you were eligible, but your ad rank wasn\u2019t high enough to win the impression.<\/p>\n\n\n\n

                            3) How do I lower Lost Impression Share Rank without simply paying more?<\/h3>\n\n\n\n

                            Focus on relevance and quality: tighter intent segmentation, stronger ad-to-keyword alignment, better landing page experience, and cleaner conversion tracking. In SEM \/ Paid Search<\/strong>, these changes can improve competitiveness without proportional CPC increases.<\/p>\n\n\n\n

                            4) What\u2019s a \u201cgood\u201d Lost Impression Share Rank benchmark?<\/h3>\n\n\n\n

                            There isn\u2019t a universal benchmark. A \u201cgood\u201d level depends on profitability, query intent, and competitive intensity. For brand terms you may aim for very low rank loss; for broad non-brand exploration, higher rank loss can be acceptable if ROI is protected.<\/p>\n\n\n\n

                            5) Why does Lost Impression Share Rank change week to week?<\/h3>\n\n\n\n

                            Common drivers include competitor bid changes, seasonality, shifts in query demand, creative fatigue, landing page issues, or changes in bidding strategy targets. Track trends and segment results to pinpoint the cause.<\/p>\n\n\n\n

                            6) How does this apply specifically to SEM \/ Paid Search strategy?<\/h3>\n\n\n\n

                            In SEM \/ Paid Search<\/strong>, rank loss is a direct indicator of auction competitiveness. It helps you decide where to defend impression share (high-intent, profitable terms) and where to accept loss to maintain efficient Paid Marketing<\/strong> economics.<\/p>\n\n\n\n

                            7) Should I optimize for top placement if Lost Impression Share Rank is high?<\/h3>\n\n\n\n

                            Not automatically. Top placement can be valuable, but it can also inflate CPCs. Use profitability metrics (CPA\/ROAS, downstream revenue) to decide whether reducing Lost Impression Share Rank<\/strong> at the top of page is worth the incremental cost.<\/p>\n","protected":false},"excerpt":{"rendered":"

                            Lost Impression Share Rank is one of the most practical diagnostics in **Paid Marketing** because it answers a blunt question: *How often could you have shown an ad, but didn\u2019t\u2014because you weren\u2019t competitive enough in the auction?* In **SEM \/ Paid Search**, that \u201ccompetitiveness\u201d is usually driven by a mix of bid, ad quality, relevance, and landing page experience.<\/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":[1913],"tags":[],"class_list":["post-11115","post","type-post","status-publish","format-standard","hentry","category-sem-paid-search"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/11115","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=11115"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/11115\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=11115"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=11115"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=11115"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}