{"id":10360,"date":"2026-03-29T07:02:52","date_gmt":"2026-03-29T07:02:52","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/bid-ceiling\/"},"modified":"2026-03-29T07:02:52","modified_gmt":"2026-03-29T07:02:52","slug":"bid-ceiling","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/bid-ceiling\/","title":{"rendered":"Bid Ceiling: What It Is, Key Features, Benefits, Use Cases, and How It Fits in PPC"},"content":{"rendered":"\n

In Paid Marketing<\/strong>, every click has a price\u2014and that price is influenced by how you bid. A Bid Ceiling<\/strong> is the upper limit you set on how much you\u2019re willing to pay for a click, impression, or conversion event in a PPC<\/strong> auction. It\u2019s a guardrail that helps you control costs while still competing for valuable ad placements.<\/p>\n\n\n\n

A well-chosen Bid Ceiling<\/strong> matters because modern Paid Marketing<\/strong> is increasingly automated and auction-driven. Without a ceiling, you risk paying more than a lead, sale, or customer is worth\u2014especially during competitive spikes, seasonal demand, or when algorithms chase volume. With a ceiling, you can protect profitability, enforce budget discipline, and keep PPC<\/strong> performance aligned with business goals.<\/p>\n\n\n\n

What Is Bid Ceiling?<\/h2>\n\n\n\n

A Bid Ceiling<\/strong> is the maximum bid amount an advertiser allows for a specific targeting unit\u2014such as a keyword, audience, ad group, placement, product, or campaign\u2014within PPC<\/strong> and other auction-based Paid Marketing<\/strong> channels. It defines the highest price you\u2019re willing to pay to participate in auctions, often expressed as a max cost-per-click (max CPC), max cost-per-thousand impressions (max CPM), or a constraint within a conversion-optimized bidding strategy.<\/p>\n\n\n\n

At its core, the concept is simple: you can\u2019t pay more than the ceiling you set. In practice, it\u2019s a business control mechanism that connects media buying to unit economics\u2014like margin, average order value, lifetime value, and allowable cost per acquisition.<\/p>\n\n\n\n

Where it fits in Paid Marketing<\/strong>:\n– It\u2019s a budget-and-risk control inside auction media.\n– It helps translate financial constraints into operational bidding rules.\n– It supports experimentation by limiting downside while testing new audiences or keywords.<\/p>\n\n\n\n

Its role inside PPC<\/strong>:\n– It keeps bids aligned with conversion rates and expected value.\n– It prevents overbidding in competitive auctions.\n– It complements optimization by ensuring efficiency isn\u2019t sacrificed for scale.<\/p>\n\n\n\n

Why Bid Ceiling Matters in Paid Marketing<\/h2>\n\n\n\n

A Bid Ceiling<\/strong> is strategic because it\u2019s one of the few levers that directly controls what you could<\/em> pay in an auction. In Paid Marketing<\/strong>, where prices fluctuate by competitor behavior, device, time, location, and user intent, ceiling controls reduce exposure to volatility.<\/p>\n\n\n\n

Business value and outcomes include:\n– Profit protection:<\/strong> You avoid paying above your break-even point, which is critical in PPC<\/strong> where marginal costs can rise quickly.\n– Budget stability:<\/strong> A ceiling reduces the chance of sudden CPC inflation draining budgets early in the day or week.\n– Better forecasting:<\/strong> Finance and growth teams can model spend and returns more reliably when there are guardrails.\n– Competitive discipline:<\/strong> You can compete where it makes sense and step back where the auction price no longer matches the value of traffic.<\/p>\n\n\n\n

In mature Paid Marketing<\/strong> programs, a Bid Ceiling<\/strong> is often part of governance: it\u2019s how teams ensure the account scales responsibly without drifting into unprofitable territory.<\/p>\n\n\n\n

How Bid Ceiling Works<\/h2>\n\n\n\n

A Bid Ceiling<\/strong> is less about a single step and more about how bidding decisions are constrained in real auctions. Here\u2019s a practical workflow that mirrors how it operates in PPC<\/strong>:<\/p>\n\n\n\n

    \n
  1. \n

    Input \/ Trigger: define value and limits<\/strong>\n You start with business inputs: target CPA\/ROAS, contribution margin, conversion rate, average order value, and how aggressively you want to grow. These translate into a maximum acceptable cost (e.g., a max CPC derived from expected conversion value).<\/p>\n<\/li>\n

  2. \n

    Analysis \/ Processing: translate economics into a ceiling<\/strong>\n You estimate what you can afford per click or per impression. For example, if your conversion rate is 2% and you can pay $40 per acquisition, your implied max CPC might be around $0.80 ($40 \u00d7 0.02), adjusted for funnel drop-off, attribution uncertainty, and variance.<\/p>\n<\/li>\n

  3. \n

    Execution \/ Application: enforce the ceiling in bidding<\/strong>\n In Paid Marketing<\/strong> platforms, you apply that ceiling at the appropriate level\u2014keyword, ad group, campaign, product group, or portfolio. In automated PPC<\/strong> bidding, the ceiling may act as a constraint that limits how far automation can bid up.<\/p>\n<\/li>\n

  4. \n

    Output \/ Outcome: controlled participation and cost<\/strong>\n You still enter auctions, but you stop short when the market price exceeds your cap. The trade-off is clear: a tighter Bid Ceiling<\/strong> typically reduces reach and volume, while a higher one can increase volume but risks efficiency.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

    This is why ceilings must be managed as a performance lever, not a set-and-forget setting.<\/p>\n\n\n\n

    Key Components of Bid Ceiling<\/h2>\n\n\n\n

    Effective Bid Ceiling<\/strong> management in Paid Marketing<\/strong> and PPC<\/strong> relies on multiple components working together:<\/p>\n\n\n\n

    Data inputs<\/h3>\n\n\n\n
      \n
    • Historical CPC\/CPM trends, segmented by device, geo, audience, and time<\/li>\n
    • Conversion rate (by segment), including lag and seasonality<\/li>\n
    • Average order value, lead value, or predicted conversion value<\/li>\n
    • Margin or allowable acquisition cost thresholds<\/li>\n
    • Incrementality considerations (where applicable)<\/li>\n<\/ul>\n\n\n\n

      Bidding structure<\/h3>\n\n\n\n
        \n
      • Campaign and ad group segmentation that reflects different values (brand vs non-brand, prospecting vs remarketing)<\/li>\n
      • Targeting layers that affect auction price (audiences, placements, demographics)<\/li>\n
      • Match types and query control (for search-driven PPC<\/strong>)<\/li>\n<\/ul>\n\n\n\n

        Governance and roles<\/h3>\n\n\n\n
          \n
        • Clear ownership for ceiling changes (channel manager, performance lead, finance partner)<\/li>\n
        • Change management rules (when to raise or lower ceilings, and by how much)<\/li>\n
        • Documentation of assumptions (so ceilings reflect current economics, not outdated benchmarks)<\/li>\n<\/ul>\n\n\n\n

          Monitoring and feedback loops<\/h3>\n\n\n\n
            \n
          • Regular pacing reviews and performance checks<\/li>\n
          • Alerts for CPC spikes, impression share drops, or conversion rate changes<\/li>\n
          • Experimentation frameworks to validate ceiling adjustments<\/li>\n<\/ul>\n\n\n\n

            Types of Bid Ceiling<\/h2>\n\n\n\n

            \u201cTypes\u201d of Bid Ceiling<\/strong> are usually distinctions by level<\/em> and purpose<\/em>, rather than formal categories. The most useful ways to think about it in Paid Marketing<\/strong> and PPC<\/strong> are:<\/p>\n\n\n\n

            1) Hard ceiling vs soft ceiling<\/h3>\n\n\n\n
              \n
            • Hard ceiling:<\/strong> A strict maximum bid that cannot be exceeded. This is common in manual bidding and certain rule-based systems.<\/li>\n
            • Soft ceiling:<\/strong> A guiding constraint that bidding algorithms generally respect, but may be influenced by learning or optimization settings. (Whether it\u2019s truly \u201csoft\u201d depends on the platform and configuration.)<\/li>\n<\/ul>\n\n\n\n

              2) Keyword\/item-level vs campaign\/portfolio-level ceiling<\/h3>\n\n\n\n
                \n
              • Item-level ceiling:<\/strong> Max bid per keyword, product, or placement. Offers precision but can be time-consuming at scale.<\/li>\n
              • Campaign\/portfolio ceiling:<\/strong> A broader limit applied across a set of assets. Easier to manage but less granular.<\/li>\n<\/ul>\n\n\n\n

                3) Exploratory vs efficiency ceiling<\/h3>\n\n\n\n
                  \n
                • Exploratory ceiling:<\/strong> Slightly higher cap used for testing new audiences, geographies, or queries while collecting data.<\/li>\n
                • Efficiency ceiling:<\/strong> Tighter cap to maximize profitability and maintain a strict cost discipline.<\/li>\n<\/ul>\n\n\n\n

                  4) Segment-specific ceilings<\/h3>\n\n\n\n

                  Different segments deserve different ceilings:\n– Brand vs non-brand search\n– New customer acquisition vs retention\n– Mobile vs desktop\n– High-margin vs low-margin product categories<\/p>\n\n\n\n

                  Real-World Examples of Bid Ceiling<\/h2>\n\n\n\n

                  Example 1: Lead generation in competitive search<\/h3>\n\n\n\n

                  A B2B company runs PPC<\/strong> search campaigns for \u201cIT compliance software.\u201d CPCs spike during industry events. They set a Bid Ceiling<\/strong> based on their allowable cost per qualified lead, factoring in lead-to-opportunity and close rates. During spikes, the ceiling prevents paying premium CPCs that historically produce low-intent traffic. The result is steadier CPA and fewer budget blowouts in Paid Marketing<\/strong>.<\/p>\n\n\n\n

                  Example 2: E-commerce category with thin margins<\/h3>\n\n\n\n

                  A retailer advertises a low-margin accessory line alongside high-margin products. They apply a lower Bid Ceiling<\/strong> to the accessory campaigns and a higher ceiling to high-margin categories. This aligns Paid Marketing<\/strong> spend with profitability: the accessory line still gets coverage, but it doesn\u2019t cannibalize budget from better-performing inventory in PPC<\/strong>.<\/p>\n\n\n\n

                  Example 3: Scaling remarketing without overpaying<\/h3>\n\n\n\n

                  A subscription service uses remarketing audiences that tend to convert well\u2014until the frequency gets too high and incremental conversions drop. They implement a Bid Ceiling<\/strong> for remarketing auctions and monitor frequency and conversion rate. When diminishing returns appear, the ceiling helps prevent overbidding for the same users, improving efficiency in Paid Marketing<\/strong> while preserving volume.<\/p>\n\n\n\n

                  Benefits of Using Bid Ceiling<\/h2>\n\n\n\n

                  A thoughtfully set Bid Ceiling<\/strong> can deliver tangible gains across PPC<\/strong> and broader Paid Marketing<\/strong>:<\/p>\n\n\n\n

                    \n
                  • Cost control:<\/strong> Prevents the worst-case auction outcomes, especially during competitive surges.<\/li>\n
                  • Improved unit economics:<\/strong> Helps ensure bids reflect what customers are worth, not just what competitors are paying.<\/li>\n
                  • Reduced volatility:<\/strong> Stabilizes CPCs and supports smoother budget pacing.<\/li>\n
                  • Cleaner testing:<\/strong> Limits downside when experimenting with new keywords, audiences, creatives, or geographies.<\/li>\n
                  • Operational clarity:<\/strong> Gives teams a clear rule for \u201chow high is too high,\u201d reducing subjective decisions.<\/li>\n
                  • Better user experience indirectly:<\/strong> By avoiding waste, teams can invest more in relevant targeting and creative quality rather than buying volume at any cost.<\/li>\n<\/ul>\n\n\n\n

                    Challenges of Bid Ceiling<\/h2>\n\n\n\n

                    A Bid Ceiling<\/strong> is powerful, but it comes with real trade-offs and risks in Paid Marketing<\/strong> and PPC<\/strong>:<\/p>\n\n\n\n

                      \n
                    • Volume loss:<\/strong> If your ceiling is too low, you may lose impression share, top-of-page rate, or eligible auctions.<\/li>\n
                    • Underspending:<\/strong> Strict ceilings can cause budgets not to pace, especially in narrow markets.<\/li>\n
                    • Misaligned assumptions:<\/strong> If conversion rate, lead quality, or margins change, an old ceiling can quietly harm performance.<\/li>\n
                    • Automation conflict:<\/strong> Some automated bidding approaches may struggle if ceilings constrain learning, particularly during ramp-up.<\/li>\n
                    • Attribution uncertainty:<\/strong> If you underestimate assisted conversions or downstream value, you may cap bids too aggressively.<\/li>\n
                    • Segment complexity:<\/strong> Different products and audiences have different values; one ceiling rarely fits all.<\/li>\n<\/ul>\n\n\n\n

                      Best Practices for Bid Ceiling<\/h2>\n\n\n\n

                      These practices help you set and manage a Bid Ceiling<\/strong> that supports both growth and efficiency in Paid Marketing<\/strong>:<\/p>\n\n\n\n

                      Derive ceilings from economics, not intuition<\/h3>\n\n\n\n

                      Use a structured approach:\n– Determine allowable CPA (or required ROAS).\n– Estimate conversion rate by segment.\n– Translate into an implied max CPC\/CPM with a buffer for variance.<\/p>\n\n\n\n

                      Start conservative, then widen with evidence<\/h3>\n\n\n\n

                      In new PPC<\/strong> initiatives, begin with a ceiling that protects downside. Expand it only when you have proof that higher bids deliver profitable incremental volume.<\/p>\n\n\n\n

                      Use segmented ceilings<\/h3>\n\n\n\n

                      Differentiate ceilings by:\n– Brand vs non-brand intent\n– Prospecting vs remarketing\n– Product margin tiers\n– Geo performance tiers<\/p>\n\n\n\n

                      Review ceilings on a cadence tied to volatility<\/h3>\n\n\n\n
                        \n
                      • Weekly or biweekly for high-spend accounts<\/li>\n
                      • Monthly for stable programs<\/li>\n
                      • Immediately after pricing changes, promos, or conversion tracking updates<\/li>\n<\/ul>\n\n\n\n

                        Monitor \u201clost opportunity\u201d signals<\/h3>\n\n\n\n

                        A ceiling shouldn\u2019t become an invisible limiter. Watch impression share loss (rank), top-of-page rate, and auction competitiveness to understand what you\u2019re trading away.<\/p>\n\n\n\n

                        Pair ceilings with creative and landing page improvements<\/h3>\n\n\n\n

                        If the ceiling is limiting scale, don\u2019t only raise bids. Improve conversion rate and quality signals so you can win auctions more efficiently in Paid Marketing<\/strong>.<\/p>\n\n\n\n

                        Tools Used for Bid Ceiling<\/h2>\n\n\n\n

                        Managing a Bid Ceiling<\/strong> is usually done through a combination of platform controls and supporting systems:<\/p>\n\n\n\n

                          \n
                        • Ad platforms:<\/strong> Where ceilings are set at keyword\/campaign\/product or strategy level and where auction insights are reviewed.<\/li>\n
                        • Analytics tools:<\/strong> Used to connect PPC<\/strong> clicks to on-site behavior, conversions, and revenue quality.<\/li>\n
                        • Automation tools and rules engines:<\/strong> For bid rules, anomaly detection, pacing controls, and scheduled adjustments.<\/li>\n
                        • CRM systems:<\/strong> To validate lead quality, pipeline value, and customer conversion\u2014critical for ceiling decisions in lead-gen Paid Marketing<\/strong>.<\/li>\n
                        • Reporting dashboards:<\/strong> For unified visibility into spend, CPC trends, CPA\/ROAS, and budget pacing.<\/li>\n
                        • SEO tools (supporting role):<\/strong> Helpful for understanding query intent and content gaps, which can reduce reliance on high bids by improving relevance and landing page alignment.<\/li>\n<\/ul>\n\n\n\n

                          Metrics Related to Bid Ceiling<\/h2>\n\n\n\n

                          To evaluate whether a Bid Ceiling<\/strong> is helping or hurting PPC<\/strong> performance, track metrics that capture both cost control and opportunity:<\/p>\n\n\n\n

                            \n
                          • CPC \/ CPM:<\/strong> Direct indicators of auction price and ceiling effectiveness.<\/li>\n
                          • CPA (cost per acquisition) \/ CPL (cost per lead):<\/strong> Core efficiency metrics for Paid Marketing<\/strong> outcomes.<\/li>\n
                          • ROAS \/ contribution margin return:<\/strong> Especially important for e-commerce and subscription businesses.<\/li>\n
                          • Conversion rate (CVR):<\/strong> If CVR rises, you can often justify a higher ceiling; if it falls, ceilings may need tightening.<\/li>\n
                          • Impression share (and lost IS due to rank):<\/strong> Shows whether your ceiling is limiting competitiveness.<\/li>\n
                          • Top-of-page rate \/ position proxies:<\/strong> Useful for understanding what visibility you\u2019re giving up.<\/li>\n
                          • Budget pacing and spend consistency:<\/strong> Reveals whether ceilings are causing underspend.<\/li>\n
                          • Lead quality or downstream revenue metrics:<\/strong> Pipeline creation, close rate, LTV\u2014essential when PPC<\/strong> is optimized above the click.<\/li>\n<\/ul>\n\n\n\n

                            Future Trends of Bid Ceiling<\/h2>\n\n\n\n

                            Bid Ceiling<\/strong> use is evolving as Paid Marketing<\/strong> becomes more automated and privacy constraints reshape measurement:<\/p>\n\n\n\n

                              \n
                            • More algorithmic bidding with explicit guardrails:<\/strong> Teams increasingly rely on automation but keep ceilings as a risk-control layer, especially when profitability is tight.<\/li>\n
                            • Value-based bidding and predicted conversion value:<\/strong> As models improve, ceilings may be informed by predicted customer value by audience and context.<\/li>\n
                            • Greater emphasis on first-party data:<\/strong> With less granular third-party signals, businesses will use CRM and owned behavioral data to set ceilings that reflect real customer outcomes.<\/li>\n
                            • Incrementality and experimentation:<\/strong> More marketers will set ceilings based on incremental lift rather than last-click returns, particularly for upper-funnel Paid Marketing<\/strong>.<\/li>\n
                            • Real-time anomaly detection:<\/strong> Automated monitoring will adjust ceilings (or trigger reviews) when CPCs spike, conversion tracking breaks, or performance shifts suddenly.<\/li>\n<\/ul>\n\n\n\n

                              Bid Ceiling vs Related Terms<\/h2>\n\n\n\n

                              Bid Ceiling vs Max CPC<\/h3>\n\n\n\n
                                \n
                              • Max CPC<\/strong> is often a specific bid setting: the maximum you\u2019ll pay per click.<\/li>\n
                              • Bid Ceiling<\/strong> is the broader concept of an upper bidding limit, which may apply to CPC, CPM, or even constraints within automated strategies. In PPC<\/strong>, max CPC is one common implementation of a ceiling.<\/li>\n<\/ul>\n\n\n\n

                                Bid Ceiling vs Bid Adjustment<\/h3>\n\n\n\n
                                  \n
                                • A bid adjustment<\/strong> increases or decreases bids by a percentage based on device, location, audience, or time.<\/li>\n
                                • A Bid Ceiling<\/strong> caps the final bid. You can use adjustments and still enforce a ceiling to prevent compounded increases from pushing bids beyond acceptable levels.<\/li>\n<\/ul>\n\n\n\n

                                  Bid Ceiling vs Budget Cap<\/h3>\n\n\n\n
                                    \n
                                  • A budget cap<\/strong> limits total spend over a day, week, or month.<\/li>\n
                                  • A Bid Ceiling<\/strong> limits the price per auction action. In Paid Marketing<\/strong>, both are necessary: budgets control total exposure, while ceilings control unit cost and efficiency.<\/li>\n<\/ul>\n\n\n\n

                                    Who Should Learn Bid Ceiling<\/h2>\n\n\n\n
                                      \n
                                    • Marketers:<\/strong> To scale Paid Marketing<\/strong> responsibly, avoid overbidding, and align campaigns with real business value.<\/li>\n
                                    • Analysts:<\/strong> To translate unit economics into actionable bidding constraints and identify when ceilings are limiting growth.<\/li>\n
                                    • Agencies:<\/strong> To protect client profitability, explain trade-offs clearly, and build repeatable PPC<\/strong> governance frameworks.<\/li>\n
                                    • Business owners and founders:<\/strong> To understand why ad costs fluctuate and how a ceiling can prevent \u201cgrowth at any cost.\u201d<\/li>\n
                                    • Developers and marketing ops:<\/strong> To support automation, data pipelines, and rules that enforce Bid Ceiling<\/strong> logic across campaigns and reporting.<\/li>\n<\/ul>\n\n\n\n

                                      Summary of Bid Ceiling<\/h2>\n\n\n\n

                                      A Bid Ceiling<\/strong> is the maximum amount you allow your Paid Marketing<\/strong> campaigns to bid in an auction, most commonly within PPC<\/strong>. It matters because it protects profitability, reduces cost volatility, and adds governance to bidding\u2014especially in competitive markets and automated bidding environments. When set using real conversion and value data, a Bid Ceiling<\/strong> becomes a practical bridge between financial goals and day-to-day campaign execution.<\/p>\n\n\n\n

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

                                      1) What is a Bid Ceiling and when should I use it?<\/h3>\n\n\n\n

                                      A Bid Ceiling<\/strong> is the maximum bid you allow in an ad auction. Use it when you need stronger cost control, when CPCs are volatile, or when you want to keep Paid Marketing<\/strong> aligned with strict CPA\/ROAS targets.<\/p>\n\n\n\n

                                      2) Can a Bid Ceiling reduce conversions in PPC?<\/h3>\n\n\n\n

                                      Yes. In PPC<\/strong>, a ceiling that\u2019s too low can reduce impression share and limit access to high-intent auctions, lowering conversion volume. The goal is to set the ceiling high enough to win profitable auctions, but not so high that you overpay.<\/p>\n\n\n\n

                                      3) How do I calculate a reasonable Bid Ceiling from my CPA target?<\/h3>\n\n\n\n

                                      A common method is: implied max CPC \u2248 target CPA \u00d7 conversion rate. Then adjust for factors like attribution uncertainty, conversion lag, and lead quality. This turns business constraints into a practical Bid Ceiling<\/strong> for Paid Marketing<\/strong> bidding.<\/p>\n\n\n\n

                                      4) Should I set one Bid Ceiling for my entire account?<\/h3>\n\n\n\n

                                      Usually not. Different campaigns and segments have different values and conversion rates. Segment-specific ceilings (by product margin, intent, or audience) typically outperform a single universal Bid Ceiling<\/strong> in PPC<\/strong>.<\/p>\n\n\n\n

                                      5) What happens if my Bid Ceiling is higher than necessary?<\/h3>\n\n\n\n

                                      You may still pay less than the ceiling because auctions clear at competitive prices, but a high ceiling increases the risk of overspending during competitive spikes or when conversion tracking is noisy. In Paid Marketing<\/strong>, ceilings should reflect what you can afford, not what you hope will work.<\/p>\n\n\n\n

                                      6) How often should I review my Bid Ceiling?<\/h3>\n\n\n\n

                                      Review it whenever core inputs change (pricing, margins, conversion rate, tracking) and on a regular cadence based on spend and volatility\u2014often weekly for high-spend PPC<\/strong> accounts and monthly for stable programs.<\/p>\n\n\n\n

                                      7) Is a Bid Ceiling compatible with automated bidding?<\/h3>\n\n\n\n

                                      Often yes, but it depends on how the automation is configured. A Bid Ceiling<\/strong> can act as a safety constraint, though overly tight caps can restrict learning and limit scale. The best approach in Paid Marketing<\/strong> is to pair ceilings with strong measurement and periodic calibration.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                      In **Paid Marketing**, every click has a price\u2014and that price is influenced by how you bid. A **Bid Ceiling** is the upper limit you set on how much you\u2019re willing to pay for a click, impression, or conversion event in a **PPC** auction. It\u2019s a guardrail that helps you control costs while still competing for valuable ad placements.<\/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":[1909],"tags":[],"class_list":["post-10360","post","type-post","status-publish","format-standard","hentry","category-ppc"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/10360","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=10360"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/10360\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=10360"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=10360"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=10360"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}