{"id":6427,"date":"2026-03-22T22:41:30","date_gmt":"2026-03-22T22:41:30","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/favorability-lift\/"},"modified":"2026-03-22T22:41:30","modified_gmt":"2026-03-22T22:41:30","slug":"favorability-lift","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/favorability-lift\/","title":{"rendered":"Favorability Lift: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Branding"},"content":{"rendered":"\n

Favorability Lift is a way to quantify how much a marketing effort changes how positively people feel about a brand. In the context of Brand & Trust<\/strong>, it answers a practical question: Did this campaign make more people view us favorably, or did it simply generate impressions and clicks without improving perception?<\/em><\/p>\n\n\n\n

As Branding<\/strong> becomes harder to evaluate with last-click attribution and easier to damage through inconsistent experiences, Favorability Lift provides a bridge between creative storytelling and measurable outcomes. It helps teams connect messaging, media, and customer experience to a clear shift in brand perception\u2014often an early indicator of future demand, loyalty, and resilience during competitive pressure.<\/p>\n\n\n\n

In modern Brand & Trust<\/strong> strategy, Favorability Lift matters because it focuses on the \u201cwhy\u201d behind performance: preference, confidence, and reputation. Those drivers often determine whether people choose you when products feel similar and switching costs are low.<\/p>\n\n\n\n

\n\n\n\n

2. What Is Favorability Lift?<\/h2>\n\n\n\n

Favorability Lift<\/strong> is the measured increase (or decrease) in the share of a target audience that reports a favorable opinion of a brand after exposure to a marketing activity, compared with an appropriate baseline.<\/p>\n\n\n\n

At its core, Favorability Lift is about change<\/strong>\u2014not just the current level of brand favorability, but the incremental movement attributable to a campaign, channel, message, or experience. That \u201cincremental\u201d idea is what makes it useful for decision-making.<\/p>\n\n\n\n

From a business perspective, Favorability Lift translates brand perception into a metric you can optimize. A positive lift suggests your Branding<\/strong> is strengthening affinity and consideration; a flat or negative lift signals mismatched messaging, poor targeting, creative fatigue, or trust issues that may suppress future conversion.<\/p>\n\n\n\n

Within Brand & Trust<\/strong>, Favorability Lift is one of the most practical measures of reputation momentum. It complements outcomes like conversion rate and revenue by showing whether marketing is building durable preference rather than borrowing demand from future periods.<\/p>\n\n\n\n

\n\n\n\n

3. Why Favorability Lift Matters in Brand & Trust<\/h2>\n\n\n\n

Favorability Lift matters because perception drives behavior\u2014especially when buyers are not ready to purchase immediately. Strong Brand & Trust<\/strong> reduces perceived risk, increases willingness to pay, and makes customers more receptive to future offers.<\/p>\n\n\n\n

Key ways Favorability Lift creates business value:<\/p>\n\n\n\n

    \n
  • Improves efficiency of future acquisition<\/strong>: As favorability rises, paid and organic channels often see better response because audiences are less skeptical.<\/li>\n
  • Protects conversion in competitive markets<\/strong>: When alternatives are close in features and price, Branding<\/strong> advantage often shows up first as improved sentiment.<\/li>\n
  • Signals long-term growth<\/strong>: Favorability is an upstream metric. It can precede improvements in direct response performance by weeks or months.<\/li>\n
  • Supports premium positioning<\/strong>: Favorability Lift can validate whether premium messaging is earning admiration\u2014or triggering distrust.<\/li>\n<\/ul>\n\n\n\n

    In Brand & Trust<\/strong> terms, Favorability Lift is a way to measure whether marketing is creating confidence and credibility, not just awareness.<\/p>\n\n\n\n

    \n\n\n\n

    4. How Favorability Lift Works<\/h2>\n\n\n\n

    Favorability Lift is conceptual, but it\u2019s measured through a practical workflow that resembles an experiment.<\/p>\n\n\n\n

      \n
    1. \n

      Input (the trigger)<\/strong>\n – A campaign launches (ads, influencer activation, PR, content series, sponsorship, product announcement), or a major brand experience changes (site redesign, onboarding flow, customer support policy).\n – The target audience and geography\/time window are defined.<\/p>\n<\/li>\n

    2. \n

      Measurement design (the \u201ccontrol\u201d idea)<\/strong>\n – You create a baseline to compare against\u2014commonly a control group that is not exposed, or a pre-campaign benchmark.\n – The goal is to isolate incremental impact rather than general market movement.<\/p>\n<\/li>\n

    3. \n

      Data collection<\/strong>\n – Audiences are asked a consistent favorability question (for example: \u201cDo you have a favorable or unfavorable opinion of Brand X?\u201d) using a survey or panel method.\n – Exposure is tracked (or approximated) so you can compare exposed vs. not exposed.<\/p>\n<\/li>\n

    4. \n

      Output (the lift)<\/strong>\n – Favorability Lift<\/strong> is calculated as the difference in favorability rate between groups (or between time periods), often reported as percentage points.\n – Results are segmented by audience, creative, frequency, and channel to guide Branding<\/strong> optimization.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

      This is why Favorability Lift is considered central to Brand & Trust<\/strong> measurement: it links a controlled comparison to a perception outcome.<\/p>\n\n\n\n

      \n\n\n\n

      5. Key Components of Favorability Lift<\/h2>\n\n\n\n

      A reliable Favorability Lift program depends on more than a single survey question. The strongest setups include the following components:<\/p>\n\n\n\n

      Measurement framework<\/h3>\n\n\n\n
        \n
      • A clear definition of what \u201cfavorable\u201d means for your category and brand promise.<\/li>\n
      • Consistent question wording and sampling approach to maintain comparability over time.<\/li>\n<\/ul>\n\n\n\n

        Experimental or quasi-experimental design<\/h3>\n\n\n\n
          \n
        • Control vs. exposed methodology, or credible baselines (pre\/post with controls, geo tests, holdouts).<\/li>\n
        • Clear rules for inclusion (who counts as exposed, how frequency is handled).<\/li>\n<\/ul>\n\n\n\n

          Data inputs<\/h3>\n\n\n\n
            \n
          • Media delivery and reach data (impressions, frequency, viewability where applicable).<\/li>\n
          • Audience segmentation data (demographics, interests, intent signals, customer vs. prospect).<\/li>\n
          • Brand tracking history (prior favorability trendlines).<\/li>\n<\/ul>\n\n\n\n

            Governance and responsibilities<\/h3>\n\n\n\n
              \n
            • Marketing and analytics alignment on hypotheses (what should lift favorability and why).<\/li>\n
            • Brand team ownership of Branding<\/strong> standards and message consistency.<\/li>\n
            • A cadence for readouts and decision-making so insights are acted on, not archived.<\/li>\n<\/ul>\n\n\n\n

              In Brand & Trust<\/strong> work, governance matters because measurement is only valuable if it changes creative, targeting, or experience design.<\/p>\n\n\n\n

              \n\n\n\n

              6. Types of Favorability Lift<\/h2>\n\n\n\n

              Favorability Lift doesn\u2019t have one universal taxonomy, but in practice it\u2019s discussed in a few common \u201ctypes\u201d or contexts:<\/p>\n\n\n\n

              Campaign-level vs. always-on tracking<\/h3>\n\n\n\n
                \n
              • Campaign-level Favorability Lift<\/strong>: measures incremental impact of a specific launch or burst.<\/li>\n
              • Brand tracker favorability movement<\/strong>: monitors perception continuously and attributes movement with supporting analyses.<\/li>\n<\/ul>\n\n\n\n

                Survey-based vs. modeled lift<\/h3>\n\n\n\n
                  \n
                • Survey-based Favorability Lift<\/strong>: derived from direct audience responses (strong for clarity, dependent on sample quality).<\/li>\n
                • Modeled lift<\/strong>: inferred using statistical methods (useful at scale, sensitive to assumptions and data completeness).<\/li>\n<\/ul>\n\n\n\n

                  Short-term vs. long-term lift<\/h3>\n\n\n\n
                    \n
                  • Short-term<\/strong>: immediate perception change after exposure; useful for creative optimization.<\/li>\n
                  • Long-term<\/strong>: sustained improvement; more closely linked to durable Brand & Trust<\/strong> and brand equity.<\/li>\n<\/ul>\n\n\n\n

                    Segment-specific lift<\/h3>\n\n\n\n

                    Favorability Lift often differs substantially by:\n– New-to-brand prospects vs. existing customers\n– High-intent vs. low-intent audiences\n– Regions with different competitive landscapes<\/p>\n\n\n\n

                    These distinctions help Branding<\/strong> teams avoid averaging away critical insights.<\/p>\n\n\n\n

                    \n\n\n\n

                    7. Real-World Examples of Favorability Lift<\/h2>\n\n\n\n

                    Example 1: Creative positioning test for a SaaS rebrand<\/h3>\n\n\n\n

                    A SaaS company runs two creative directions: \u201csecurity-first\u201d vs. \u201cproductivity-first.\u201d The team measures Favorability Lift among IT decision-makers and finds security-first produces a stronger lift, especially among larger enterprises. The Brand & Trust<\/strong> insight is that credibility and risk reduction are the main emotional drivers in that segment, guiding future Branding<\/strong> messaging and homepage emphasis.<\/p>\n\n\n\n

                    Example 2: Influencer campaign with trust-sensitive audiences<\/h3>\n\n\n\n

                    A consumer health brand partners with credible educators and runs a controlled study. Overall Favorability Lift is modest, but among skeptical segments it\u2019s significant\u2014because the influencer content addresses misconceptions directly. The brand uses this Brand & Trust<\/strong> learning to invest more in evidence-based content formats and less in purely entertaining placements.<\/p>\n\n\n\n

                    Example 3: Customer experience change after a policy update<\/h3>\n\n\n\n

                    An eCommerce brand introduces easier returns and proactively communicates it. Favorability Lift is measured among recent site visitors and lapsed buyers. The lift is strongest among lapsed buyers, indicating the trust barrier was friction and risk, not price. That becomes a Branding<\/strong> advantage: \u201crisk-free purchase\u201d is emphasized across paid media and email.<\/p>\n\n\n\n

                    \n\n\n\n

                    8. Benefits of Using Favorability Lift<\/h2>\n\n\n\n

                    When implemented well, Favorability Lift creates benefits beyond reporting:<\/p>\n\n\n\n

                      \n
                    • Better creative decisions<\/strong>: You can identify which messages improve perception, not just which ads get clicks.<\/li>\n
                    • More efficient spend<\/strong>: Channels or segments with higher lift can be prioritized, reducing wasted impressions that don\u2019t strengthen Brand & Trust<\/strong>.<\/li>\n
                    • Earlier signal than sales<\/strong>: Favorability movement can appear before demand metrics shift, helping teams steer Branding<\/strong> sooner.<\/li>\n
                    • Improved customer experience alignment<\/strong>: If experience changes create lift, marketing can amplify them; if they reduce favorability, teams can fix issues quickly.<\/li>\n
                    • Stronger stakeholder confidence<\/strong>: Favorability Lift offers a defensible narrative for brand investment when short-term ROAS is volatile.<\/li>\n<\/ul>\n\n\n\n
                      \n\n\n\n

                      9. Challenges of Favorability Lift<\/h2>\n\n\n\n

                      Favorability Lift is powerful, but it\u2019s easy to misuse if the measurement is weak.<\/p>\n\n\n\n

                      Measurement and bias challenges<\/h3>\n\n\n\n
                        \n
                      • Sampling bias<\/strong>: Survey respondents may not represent your true audience.<\/li>\n
                      • Question wording effects<\/strong>: Small changes in wording can shift responses, breaking trend comparability.<\/li>\n
                      • Low signal in small samples<\/strong>: Many campaigns can\u2019t generate enough responses for confident conclusions.<\/li>\n<\/ul>\n\n\n\n

                        Attribution limitations<\/h3>\n\n\n\n
                          \n
                        • Multiple touchpoints<\/strong>: Favorability can be influenced by news, word of mouth, product reviews, and customer service\u2014not just ads.<\/li>\n
                        • Time lag<\/strong>: Some Branding<\/strong> impact accumulates slowly, making short windows misleading.<\/li>\n<\/ul>\n\n\n\n

                          Strategic risks<\/h3>\n\n\n\n
                            \n
                          • Optimizing for \u201clikeability\u201d only<\/strong>: A favorable opinion is valuable, but it must align with differentiation and purchase relevance.<\/li>\n
                          • Overreacting to noise<\/strong>: Small lifts may be statistically insignificant; teams need discipline before changing strategy.<\/li>\n<\/ul>\n\n\n\n

                            In Brand & Trust<\/strong>, the goal is dependable learning, not headline metrics.<\/p>\n\n\n\n

                            \n\n\n\n

                            10. Best Practices for Favorability Lift<\/h2>\n\n\n\n

                            To make Favorability Lift actionable and credible:<\/p>\n\n\n\n

                              \n
                            • Define a clear hypothesis<\/strong>: Tie the expected lift to a message or experience change (not just \u201crun ads and measure\u201d).<\/li>\n
                            • Keep survey questions consistent<\/strong>: Consistency is more important than cleverness for long-term Branding<\/strong> insight.<\/li>\n
                            • Use controls whenever possible<\/strong>: Control vs. exposed comparisons reduce false conclusions from seasonality or market events.<\/li>\n
                            • Segment results<\/strong>: Look at lift by audience type, frequency, creative, and placement; aggregate averages can hide what\u2019s working.<\/li>\n
                            • Set guardrails for decision-making<\/strong>: Require minimum sample sizes and confidence thresholds before reallocating budget.<\/li>\n
                            • Connect lift to downstream signals<\/strong>: Track whether Favorability Lift correlates with branded search, direct traffic, trial starts, repeat purchases, or pipeline quality over time.<\/li>\n
                            • Document learnings<\/strong>: Build an internal playbook so Brand & Trust<\/strong> improvements compound rather than reset each quarter.<\/li>\n<\/ul>\n\n\n\n
                              \n\n\n\n

                              11. Tools Used for Favorability Lift<\/h2>\n\n\n\n

                              Favorability Lift isn\u2019t tied to a single tool; it\u2019s typically operationalized through a stack:<\/p>\n\n\n\n

                                \n
                              • Survey and research tools<\/strong>: For brand lift surveys, panel sampling, and brand trackers that capture favorability consistently.<\/li>\n
                              • Ad platforms and measurement layers<\/strong>: Many provide controlled brand-lift study frameworks (exposed vs. control) and audience segmentation views.<\/li>\n
                              • Analytics tools<\/strong>: To connect Favorability Lift results with site behavior, conversion paths, and cohort outcomes.<\/li>\n
                              • CRM and customer data platforms<\/strong>: To compare lift among customers vs. prospects and align insights with lifecycle stages.<\/li>\n
                              • Experimentation platforms<\/strong>: For geo tests, holdouts, and incrementality frameworks that strengthen causal claims.<\/li>\n
                              • Reporting dashboards<\/strong>: To standardize Branding<\/strong> and Brand & Trust<\/strong> reporting across teams and time periods.<\/li>\n<\/ul>\n\n\n\n

                                The best tool choice depends on your audience size, channels, and how rigorous you need the causal inference to be.<\/p>\n\n\n\n

                                \n\n\n\n

                                12. Metrics Related to Favorability Lift<\/h2>\n\n\n\n

                                Favorability Lift is most useful when interpreted alongside supporting metrics:<\/p>\n\n\n\n

                                Brand perception metrics<\/h3>\n\n\n\n
                                  \n
                                • Baseline favorability level<\/strong> (your starting point)<\/li>\n
                                • Unaided and aided awareness<\/strong><\/li>\n
                                • Consideration \/ preference<\/strong><\/li>\n
                                • Trust indicators<\/strong> (credibility, reliability, \u201cwould recommend,\u201d perceived quality)<\/li>\n<\/ul>\n\n\n\n

                                  Behavioral and performance metrics<\/h3>\n\n\n\n
                                    \n
                                  • Branded search volume<\/strong> (directional indicator of interest)<\/li>\n
                                  • Direct traffic and returning visitors<\/strong><\/li>\n
                                  • Conversion rate by cohort<\/strong> (exposed vs. not exposed, where possible)<\/li>\n
                                  • Sales cycle velocity \/ lead-to-close rate<\/strong> in B2B contexts<\/li>\n<\/ul>\n\n\n\n

                                    Efficiency and ROI metrics<\/h3>\n\n\n\n
                                      \n
                                    • Cost per incremental favorable respondent<\/strong> (where feasible)<\/li>\n
                                    • Reach and effective frequency<\/strong> (to understand how much exposure is needed for lift)<\/li>\n
                                    • Share of voice vs. share of favorability<\/strong> (useful competitive lens)<\/li>\n<\/ul>\n\n\n\n

                                      In Brand & Trust<\/strong> programs, these companion metrics help validate whether Favorability Lift reflects meaningful Branding<\/strong> progress.<\/p>\n\n\n\n

                                      \n\n\n\n

                                      13. Future Trends of Favorability Lift<\/h2>\n\n\n\n

                                      Several shifts are changing how Favorability Lift is measured and used:<\/p>\n\n\n\n

                                        \n
                                      • AI-assisted insight generation<\/strong>: Faster creative analysis and segmentation can explain why<\/em> favorability changed, not just that<\/em> it changed.<\/li>\n
                                      • Privacy-driven measurement changes<\/strong>: With less user-level tracking, lift studies and incrementality methods become more important for Brand & Trust<\/strong> evaluation.<\/li>\n
                                      • More integration with first-party data<\/strong>: Brands will compare Favorability Lift across known customer segments while respecting consent and governance.<\/li>\n
                                      • Personalization and message-fit testing<\/strong>: Favorability will increasingly be optimized by matching narratives to audience motivations, strengthening Branding<\/strong> relevance.<\/li>\n
                                      • Holistic trust measurement<\/strong>: Expect stronger links between favorability, review ecosystems, community sentiment, and customer experience metrics.<\/li>\n<\/ul>\n\n\n\n

                                        Overall, Favorability Lift is evolving from a \u201ccampaign report\u201d into a continuous Brand & Trust<\/strong> learning system.<\/p>\n\n\n\n

                                        \n\n\n\n

                                        14. Favorability Lift vs Related Terms<\/h2>\n\n\n\n

                                        Favorability Lift vs. Awareness Lift<\/h3>\n\n\n\n
                                          \n
                                        • Awareness Lift<\/strong> measures whether more people recognize or recall the brand.<\/li>\n
                                        • Favorability Lift<\/strong> measures whether more people like<\/em> or view the brand positively.\nYou can grow awareness without improving Branding<\/strong> perception; Favorability Lift focuses on quality of perception, which is central to Brand & Trust<\/strong>.<\/li>\n<\/ul>\n\n\n\n

                                          Favorability Lift vs. Purchase Intent Lift<\/h3>\n\n\n\n
                                            \n
                                          • Purchase Intent Lift<\/strong> captures whether more people say they\u2019re likely to buy.<\/li>\n
                                          • Favorability Lift<\/strong> is broader and often earlier in the funnel.\nIntent is closer to revenue, but favorability can be a prerequisite\u2014especially in trust-sensitive categories.<\/li>\n<\/ul>\n\n\n\n

                                            Favorability Lift vs. Sentiment Analysis<\/h3>\n\n\n\n
                                              \n
                                            • Sentiment analysis<\/strong> typically summarizes positive\/negative language in text (social, reviews, support tickets).<\/li>\n
                                            • Favorability Lift<\/strong> is usually based on structured measurement and comparison groups.\nSentiment is helpful for diagnostics; Favorability Lift is often better for controlled Branding<\/strong> impact measurement.<\/li>\n<\/ul>\n\n\n\n
                                              \n\n\n\n

                                              15. Who Should Learn Favorability Lift<\/h2>\n\n\n\n
                                                \n
                                              • Marketers<\/strong>: To optimize Branding<\/strong> and justify investment beyond direct-response metrics.<\/li>\n
                                              • Analysts and data teams<\/strong>: To design credible lift studies and prevent false conclusions from biased samples.<\/li>\n
                                              • Agencies<\/strong>: To demonstrate brand impact in client reporting and improve strategy recommendations in Brand & Trust<\/strong> engagements.<\/li>\n
                                              • Business owners and founders<\/strong>: To understand whether marketing is building preference and reducing price sensitivity over time.<\/li>\n
                                              • Developers and marketing engineers<\/strong>: To implement measurement pipelines, experimentation frameworks, and data governance that enable reliable Favorability Lift analysis.<\/li>\n<\/ul>\n\n\n\n
                                                \n\n\n\n

                                                16. Summary of Favorability Lift<\/h2>\n\n\n\n

                                                Favorability Lift<\/strong> measures the incremental change in positive brand perception attributable to marketing or experience changes. It matters because it connects Branding<\/strong> work to measurable movement in reputation and preference\u2014core drivers of Brand & Trust<\/strong>. When measured with consistent questions, sound controls, and thoughtful segmentation, Favorability Lift becomes a practical system for improving creative, targeting, and customer experience decisions over time.<\/p>\n\n\n\n

                                                \n\n\n\n

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

                                                1) What is Favorability Lift and how is it calculated?<\/h3>\n\n\n\n

                                                Favorability Lift is the difference in favorable opinion between an exposed group and a baseline (control group or pre-campaign benchmark). It\u2019s typically reported in percentage points and should be supported by adequate sample size and consistent methodology.<\/p>\n\n\n\n

                                                2) Is Favorability Lift the same as brand awareness?<\/h3>\n\n\n\n

                                                No. Awareness is about recognition or recall; Favorability Lift is about positive opinion. In Brand & Trust<\/strong> work, awareness can rise while favorability stays flat or even declines.<\/p>\n\n\n\n

                                                3) How long does it take to see Favorability Lift from a campaign?<\/h3>\n\n\n\n

                                                Some campaigns show changes quickly (days to weeks), especially with strong reach and clear messaging. Larger Branding<\/strong> shifts often take longer and may require sustained exposure and consistent experience delivery.<\/p>\n\n\n\n

                                                4) What\u2019s a \u201cgood\u201d Favorability Lift benchmark?<\/h3>\n\n\n\n

                                                There isn\u2019t a universal benchmark. What\u2019s \u201cgood\u201d depends on category maturity, baseline perception, audience, and spend level. The most useful approach is comparing lift across creatives, segments, and time periods using the same measurement design.<\/p>\n\n\n\n

                                                5) Can small brands measure Favorability Lift reliably?<\/h3>\n\n\n\n

                                                Yes, but they need realistic expectations and careful sampling. Smaller brands often benefit from simpler pre\/post tracking with consistent targeting, or from aggregating results across multiple campaigns to improve statistical confidence.<\/p>\n\n\n\n

                                                6) How does Favorability Lift influence Branding decisions?<\/h3>\n\n\n\n

                                                It highlights which messages, channels, and experiences improve perception. Teams can use it to refine positioning, adjust creative strategy, and align product and service improvements with what strengthens Brand & Trust<\/strong>.<\/p>\n\n\n\n

                                                7) What should I do if Favorability Lift is negative?<\/h3>\n\n\n\n

                                                Treat it as a diagnostic signal. Review audience targeting, message clarity, creative tone, landing-page experience, and recent brand events. Then run a focused follow-up test to isolate what caused the drop and which Branding<\/strong> adjustments restore trust.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                                Favorability Lift is a way to quantify how much a marketing effort changes how positively people feel about a brand. In the context of **Brand & Trust**, it answers a practical question: *Did this campaign make more people view us favorably, or did it simply generate impressions and clicks without improving perception?*<\/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":[1883],"tags":[],"class_list":["post-6427","post","type-post","status-publish","format-standard","hentry","category-branding"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/6427","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=6427"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/6427\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=6427"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=6427"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=6427"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}