{"id":7514,"date":"2026-03-24T16:05:31","date_gmt":"2026-03-24T16:05:31","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/demand-generation-assisted-conversions\/"},"modified":"2026-03-24T16:05:31","modified_gmt":"2026-03-24T16:05:31","slug":"demand-generation-assisted-conversions","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/demand-generation-assisted-conversions\/","title":{"rendered":"Demand Generation Assisted Conversions: What It Is, Key Features, Benefits, Use Cases, and How It Fits in Demand Generation & B2B Marketing"},"content":{"rendered":"\n

Demand Generation Assisted Conversions describes the conversions (or downstream outcomes like qualified leads, opportunities, and revenue) that were supported by earlier marketing touchpoints<\/strong> even if those touchpoints were not the final interaction before the conversion happened. In modern Demand Generation & B2B Marketing<\/strong>, buying journeys are rarely linear: prospects research, compare, return, and involve multiple stakeholders. That makes Demand Generation Assisted Conversions essential for understanding what\u2019s actually<\/em> creating demand versus what simply captures it at the end.<\/p>\n\n\n\n

In Demand Generation & B2B Marketing<\/strong>, teams often over-credit \u201ccloser\u201d channels (like branded search or direct traffic) and under-credit \u201ccreator\u201d channels (like thought leadership, SEO content, webinars, or paid social). Measuring Demand Generation Assisted Conversions helps you see the full journey, defend budget for upper- and mid-funnel programs, and optimize performance based on contribution\u2014not just last-click wins.<\/p>\n\n\n\n

2. What Is Demand Generation Assisted Conversions?<\/h2>\n\n\n\n

Demand Generation Assisted Conversions is a measurement concept that attributes partial credit<\/strong> to marketing interactions that happened before<\/strong> a conversion, when those interactions helped move a buyer toward taking the final action.<\/p>\n\n\n\n

    \n
  • Beginner-friendly definition:<\/strong> an assisted conversion occurs when a channel, campaign, or touchpoint participates<\/strong> in the customer journey that leads to a conversion, but is not the final touch<\/strong>.<\/li>\n
  • Core concept:<\/strong> conversions are usually the result of multiple touches<\/strong>, not a single ad, email, or page.<\/li>\n
  • Business meaning:<\/strong> it reveals which activities create intent, educate buyers, and build trust<\/strong>\u2014even if they don\u2019t \u201cclose\u201d the conversion.<\/li>\n
  • Where it fits in Demand Generation & B2B Marketing:<\/strong> it sits at the intersection of analytics, attribution, funnel management, and revenue operations.<\/li>\n
  • Its role inside Demand Generation & B2B Marketing:<\/strong> it helps align marketing and sales around what influences pipeline and revenue, not just what gets the last click.<\/li>\n<\/ul>\n\n\n\n

    In practice, Demand Generation Assisted Conversions is most valuable when your organization has longer sales cycles, multiple decision-makers, or significant \u201cdark funnel\u201d activity where buyers learn in private before they ever fill out a form.<\/p>\n\n\n\n

    3. Why Demand Generation Assisted Conversions Matters in Demand Generation & B2B Marketing<\/h2>\n\n\n\n

    Demand Generation Assisted Conversions matters because it changes decision-making from \u201cwhat got credit?\u201d to \u201cwhat drove progress?\u201d In Demand Generation & B2B Marketing<\/strong>, that distinction often separates teams that scale efficiently from teams that constantly chase short-term spikes.<\/p>\n\n\n\n

    Key reasons it\u2019s strategically important:<\/p>\n\n\n\n

      \n
    • Protects high-leverage programs:<\/strong> Content, webinars, communities, events, and PR often assist more than they last-click convert. Demand Generation Assisted Conversions makes their contribution visible.<\/li>\n
    • Improves budget allocation:<\/strong> When you see which channels consistently assist revenue outcomes, you can invest based on influence<\/em> and journey position, not just end-of-funnel metrics.<\/li>\n
    • Reduces false conclusions:<\/strong> Last-click reporting can lead you to cut awareness and education channels, which may temporarily inflate efficiency before pipeline quality drops.<\/li>\n
    • Creates competitive advantage:<\/strong> Better measurement improves prioritization, which improves execution, which compounds over time\u2014especially in Demand Generation & B2B Marketing<\/strong> where buyer trust is earned across many interactions.<\/li>\n<\/ul>\n\n\n\n

      4. How Demand Generation Assisted Conversions Works<\/h2>\n\n\n\n

      Demand Generation Assisted Conversions is less a single \u201cprocess\u201d and more a practical measurement workflow that connects journey data to outcomes.<\/p>\n\n\n\n

        \n
      1. \n

        Input \/ trigger: capture touchpoints<\/strong>\n – A prospect interacts with marketing: reads a blog post, clicks a paid ad, attends a webinar, opens a nurture email, or revisits via organic search.\n – These touches are recorded through tracking parameters, cookies (where available), CRM activity logging, or marketing automation engagement data.<\/p>\n<\/li>\n

      2. \n

        Analysis \/ processing: stitch journeys<\/strong>\n – Analytics systems group interactions into paths (sessions, users, accounts) and identify conversion events (form fills, demo requests, trials, meeting booked).\n – Attribution logic determines which touches are \u201cassists\u201d versus \u201clast interaction.\u201d<\/p>\n<\/li>\n

      3. \n

        Execution \/ application: report and act<\/strong>\n – Marketers review assisted conversion reports by channel, campaign, content, audience segment, or account list.\n – Teams adjust spend, creative, nurture sequencing, and content strategy based on what assists meaningful outcomes.<\/p>\n<\/li>\n

      4. \n

        Output \/ outcome: better optimization<\/strong>\n – You get a more accurate view of which programs create demand and which programs capture demand\u2014critical for Demand Generation & B2B Marketing<\/strong> planning, forecasting, and pipeline strategy.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

        The practical goal of Demand Generation Assisted Conversions is not perfect attribution; it\u2019s better decisions<\/strong> with the data you can reliably collect.<\/p>\n\n\n\n

        5. Key Components of Demand Generation Assisted Conversions<\/h2>\n\n\n\n

        To measure Demand Generation Assisted Conversions well, you need a few foundational components working together:<\/p>\n\n\n\n

        Data inputs<\/h3>\n\n\n\n
          \n
        • Web and product analytics events (page views, key actions, conversions)<\/li>\n
        • Campaign identifiers (UTMs or equivalent tagging standards)<\/li>\n
        • Email and marketing automation engagement (opens, clicks, form activity)<\/li>\n
        • CRM objects (leads, contacts, accounts, opportunities, revenue)<\/li>\n
        • Offline or semi-offline touchpoints (events, calls, sales meetings) when available<\/li>\n<\/ul>\n\n\n\n

          Systems and processes<\/h3>\n\n\n\n
            \n
          • A consistent conversion taxonomy<\/strong> (what counts as a conversion and why)<\/li>\n
          • A defined attribution window<\/strong> (e.g., 30\/60\/90 days depending on cycle length)<\/li>\n
          • Identity and matching approach (user-based where possible; account-based where appropriate)<\/li>\n
          • Governance for campaign naming, tagging, and channel definitions<\/li>\n<\/ul>\n\n\n\n

            Team responsibilities<\/h3>\n\n\n\n
              \n
            • Marketing ops\/rev ops: tracking, data quality, CRM integration<\/li>\n
            • Demand gen: campaign execution, experimentation, optimization<\/li>\n
            • Analytics: reporting, model interpretation, decision support<\/li>\n
            • Sales leadership: alignment on what \u201cquality\u201d means and how to interpret influence<\/li>\n<\/ul>\n\n\n\n

              Without these basics, Demand Generation Assisted Conversions can become a confusing report instead of a reliable decision tool.<\/p>\n\n\n\n

              6. Types of Demand Generation Assisted Conversions<\/h2>\n\n\n\n

              Demand Generation Assisted Conversions doesn\u2019t have universal \u201cofficial types,\u201d but there are important distinctions that affect how you interpret results:<\/p>\n\n\n\n

              Assisted vs last-touch conversions<\/h3>\n\n\n\n
                \n
              • Assisted conversions:<\/strong> channels that appeared on the path before the conversion.<\/li>\n
              • Last-touch conversions:<\/strong> the final interaction that received credit in last-click reporting.<\/li>\n<\/ul>\n\n\n\n

                Channel-level vs campaign-level assists<\/h3>\n\n\n\n
                  \n
                • Channel assists:<\/strong> SEO, paid social, email, referral, direct, events.<\/li>\n
                • Campaign assists:<\/strong> a specific webinar series, ABM ads, a nurture sequence, a content cluster.<\/li>\n<\/ul>\n\n\n\n

                  Lead conversions vs revenue conversions<\/h3>\n\n\n\n
                    \n
                  • Lead-focused:<\/strong> assists that precede MQLs, demo requests, trials.<\/li>\n
                  • Revenue-focused:<\/strong> assists that precede opportunity creation, progression, or closed-won.<\/li>\n<\/ul>\n\n\n\n

                    Attribution-model lens (how credit is distributed)<\/h3>\n\n\n\n

                    While assisted conversions often show \u201cparticipation,\u201d many teams evaluate them alongside attribution approaches such as:\n– First-touch, last-touch\n– Linear (equal credit)\n– Time-decay (more credit closer to conversion)\n– Position-based (extra credit to first and last, some to middle)<\/p>\n\n\n\n

                    In Demand Generation & B2B Marketing<\/strong>, the right lens depends on cycle length, data quality, and how marketing and sales handoffs work.<\/p>\n\n\n\n

                    7. Real-World Examples of Demand Generation Assisted Conversions<\/h2>\n\n\n\n

                    Example 1: SEO content assists a demo request<\/h3>\n\n\n\n

                    A prospect finds a \u201ccomparison\u201d article through organic search, reads two pages, and leaves. A week later they click a retargeting ad, return, and request a demo from a branded search visit. Last-click credits branded search, but Demand Generation Assisted Conversions highlights that SEO content and retargeting were key assists\u2014guiding content investment in Demand Generation & B2B Marketing<\/strong>.<\/p>\n\n\n\n

                    Example 2: Webinar + nurture assists an opportunity<\/h3>\n\n\n\n

                    A mid-market account registers for a webinar, attends, and later multiple stakeholders engage with follow-up emails and a case study. Two weeks later a sales rep books a meeting and creates an opportunity. The webinar and nurture emails may show high Demand Generation Assisted Conversions even if the meeting was booked via a sales outreach link\u2014useful for proving mid-funnel programs drive pipeline.<\/p>\n\n\n\n

                    Example 3: ABM ads assist multi-stakeholder buying<\/h3>\n\n\n\n

                    An ABM campaign serves ads to a target account, leading to repeat visits to a pricing page and a security overview page. The final conversion occurs after the prospect clicks an email from a partner or types the domain directly. Assisted conversion reporting shows ABM ads influenced the journey, helping justify account-based investment in Demand Generation & B2B Marketing<\/strong>.<\/p>\n\n\n\n

                    8. Benefits of Using Demand Generation Assisted Conversions<\/h2>\n\n\n\n

                    Demand Generation Assisted Conversions creates practical advantages across performance, cost, and customer experience:<\/p>\n\n\n\n

                      \n
                    • More accurate channel valuation:<\/strong> Recognizes the work done by awareness and consideration activities.<\/li>\n
                    • Smarter budget allocation:<\/strong> Helps reduce over-investment in \u201ccloser\u201d channels that harvest existing intent.<\/li>\n
                    • Higher efficiency over time:<\/strong> Better mix decisions improve pipeline quality and reduce wasted spend.<\/li>\n
                    • Better content strategy:<\/strong> Reveals which assets consistently move prospects forward.<\/li>\n
                    • Improved buyer experience:<\/strong> When you understand effective assists, you can build journeys that educate rather than spam.<\/li>\n<\/ul>\n\n\n\n

                      For Demand Generation & B2B Marketing<\/strong>, this often translates into more predictable pipeline creation and more defensible long-term strategy.<\/p>\n\n\n\n

                      9. Challenges of Demand Generation Assisted Conversions<\/h2>\n\n\n\n

                      Demand Generation Assisted Conversions is powerful, but it comes with real limitations:<\/p>\n\n\n\n

                        \n
                      • Identity and tracking gaps:<\/strong> Cross-device behavior, cookie restrictions, and private browsing reduce journey visibility.<\/li>\n
                      • Walled gardens and platform constraints:<\/strong> Some ad networks limit user-level data export, complicating end-to-end paths.<\/li>\n
                      • Offline influence:<\/strong> Sales conversations, events, and word-of-mouth can be hard to connect to digital touchpoints.<\/li>\n
                      • Attribution confusion:<\/strong> Different models can \u201ctell different stories,\u201d and stakeholders may cherry-pick the one that supports their agenda.<\/li>\n
                      • Data hygiene issues:<\/strong> Inconsistent UTMs, campaign naming, and CRM duplication can distort assisted conversion reporting.<\/li>\n<\/ul>\n\n\n\n

                        In Demand Generation & B2B Marketing<\/strong>, the goal is to be directionally correct and consistent\u2014not to claim perfect measurement.<\/p>\n\n\n\n

                        10. Best Practices for Demand Generation Assisted Conversions<\/h2>\n\n\n\n

                        To operationalize Demand Generation Assisted Conversions effectively:<\/p>\n\n\n\n

                          \n
                        1. \n

                          Define conversions that matter<\/strong>\n – Separate micro-conversions (newsletter signup) from revenue-proxy conversions (demo, trial, meeting booked).\n – Align definitions with sales stages and qualification criteria.<\/p>\n<\/li>\n

                        2. \n

                          Standardize campaign tracking<\/strong>\n – Use a consistent tagging framework and enforce it across teams and agencies.\n – Maintain a controlled vocabulary for channels and campaigns.<\/p>\n<\/li>\n

                        3. \n

                          Choose sensible attribution windows<\/strong>\n – Match windows to your buying cycle; short windows undercount assists in B2B.\n – Review time-to-convert and adjust based on actual behavior.<\/p>\n<\/li>\n

                        4. \n

                          Report assists alongside outcomes<\/strong>\n – Pair assisted conversions with opportunity and revenue influence where possible.\n – Segment by audience type (new vs returning; target accounts vs non-target).<\/p>\n<\/li>\n

                        5. \n

                          Use assists to improve journey design<\/strong>\n – Identify sequences that repeatedly appear before high-quality conversions.\n – Optimize nurture timing, retargeting frequency, and content progression.<\/p>\n<\/li>\n

                        6. \n

                          Validate with experiments<\/strong>\n – Use incrementality tests, holdouts, or geo experiments to confirm that high-assist channels are also high-impact channels.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                          11. Tools Used for Demand Generation Assisted Conversions<\/h2>\n\n\n\n

                          Demand Generation Assisted Conversions is enabled by tool categories rather than any single platform. Common tool groups in Demand Generation & B2B Marketing<\/strong> include:<\/p>\n\n\n\n

                            \n
                          • Analytics tools:<\/strong> track sessions, events, conversion paths, and channel contributions.<\/li>\n
                          • Tag management systems:<\/strong> standardize event collection and reduce implementation errors.<\/li>\n
                          • Marketing automation platforms:<\/strong> capture email engagement, form fills, scoring, and nurture history.<\/li>\n
                          • CRM systems:<\/strong> connect marketing activity to leads, contacts, accounts, opportunities, and revenue.<\/li>\n
                          • Customer data platforms (CDPs) or data warehouses:<\/strong> unify identifiers and improve cross-channel stitching.<\/li>\n
                          • Ad platforms and campaign managers:<\/strong> provide impression\/click data and audience insights.<\/li>\n
                          • Business intelligence dashboards:<\/strong> blend marketing + sales data to analyze assisted conversions against pipeline and revenue.<\/li>\n
                          • SEO tools:<\/strong> support content planning and performance analysis, especially when SEO is a major assisting channel.<\/li>\n<\/ul>\n\n\n\n

                            Your tool stack matters less than your ability to maintain clean data and consistent definitions for Demand Generation Assisted Conversions.<\/p>\n\n\n\n

                            12. Metrics Related to Demand Generation Assisted Conversions<\/h2>\n\n\n\n

                            Useful metrics depend on whether you\u2019re optimizing for leads, pipeline, or revenue. Common measures include:<\/p>\n\n\n\n

                              \n
                            • Assisted conversions (count):<\/strong> how many conversions a channel assisted.<\/li>\n
                            • Assisted conversion value:<\/strong> the value assigned to assisted conversions (if you have value modeling).<\/li>\n
                            • Assist-to-last-click ratio:<\/strong> how often a channel assists versus closes; high ratios often indicate upper\/mid-funnel roles.<\/li>\n
                            • Assisted conversion rate:<\/strong> assisted conversions divided by sessions\/users\/accounts exposed (interpret carefully).<\/li>\n
                            • Path length:<\/strong> average number of touches before conversion.<\/li>\n
                            • Time lag \/ time to convert:<\/strong> days between first touch and conversion.<\/li>\n
                            • Influenced pipeline \/ revenue:<\/strong> opportunities or revenue connected to journeys where a channel appeared.<\/li>\n
                            • Cost per assisted conversion:<\/strong> spend divided by assisted conversions (best used with quality checks).<\/li>\n
                            • Stage progression impact:<\/strong> how often assisted touches precede movement from MQL to SQL to opportunity.<\/li>\n<\/ul>\n\n\n\n

                              In Demand Generation & B2B Marketing<\/strong>, pairing assisted metrics with sales-stage outcomes prevents optimizing for \u201cbusy\u201d activity that doesn\u2019t translate to revenue.<\/p>\n\n\n\n

                              13. Future Trends of Demand Generation Assisted Conversions<\/h2>\n\n\n\n

                              Demand Generation Assisted Conversions is evolving as measurement and privacy change:<\/p>\n\n\n\n

                                \n
                              • AI-assisted analysis:<\/strong> AI can detect patterns in paths, segment behaviors, and forecast which touch sequences lead to pipeline\u2014while still requiring human governance.<\/li>\n
                              • Privacy-driven measurement shifts:<\/strong> More first-party data strategies, server-side tracking, and modeled conversion approaches as cookies and identifiers degrade.<\/li>\n
                              • Incrementality and experimentation:<\/strong> More teams will complement assisted conversion reporting with lift testing to validate causal impact.<\/li>\n
                              • Account-level analytics:<\/strong> In Demand Generation & B2B Marketing<\/strong>, account journeys (not just user journeys) will become more common as buying groups drive decisions.<\/li>\n
                              • Deeper personalization:<\/strong> As orchestration improves, \u201cassists\u201d will increasingly be designed intentionally (sequenced education) rather than incidentally (random touches).<\/li>\n<\/ul>\n\n\n\n

                                The best teams will treat Demand Generation Assisted Conversions as one input in a broader measurement system\u2014not a single source of truth.<\/p>\n\n\n\n

                                14. Demand Generation Assisted Conversions vs Related Terms<\/h2>\n\n\n\n

                                Demand Generation Assisted Conversions vs last-click conversions<\/h3>\n\n\n\n
                                  \n
                                • Last-click conversions<\/strong> credit only the final touch.<\/li>\n
                                • Demand Generation Assisted Conversions<\/strong> highlights earlier contributions that helped create intent.\nPractical takeaway: last-click is useful for \u201cwhat closed,\u201d assists are vital for \u201cwhat created demand.\u201d<\/li>\n<\/ul>\n\n\n\n

                                  Demand Generation Assisted Conversions vs multi-touch attribution (MTA)<\/h3>\n\n\n\n
                                    \n
                                  • MTA<\/strong> distributes credit across multiple touches using a defined model.<\/li>\n
                                  • Demand Generation Assisted Conversions<\/strong> is often a simpler participation view: \u201cthis touch assisted\u201d even if credit isn\u2019t fully distributed.\nPractical takeaway: assists can be an accessible starting point; MTA adds modeling complexity.<\/li>\n<\/ul>\n\n\n\n

                                    Demand Generation Assisted Conversions vs influenced pipeline<\/h3>\n\n\n\n
                                      \n
                                    • Influenced pipeline<\/strong> typically means an opportunity had some marketing interaction (often broad criteria).<\/li>\n
                                    • Demand Generation Assisted Conversions<\/strong> is more journey-specific and conversion-event specific.\nPractical takeaway: influenced pipeline is great for executive reporting; assists are better for optimization decisions.<\/li>\n<\/ul>\n\n\n\n

                                      15. Who Should Learn Demand Generation Assisted Conversions<\/h2>\n\n\n\n

                                      Demand Generation Assisted Conversions is valuable across roles:<\/p>\n\n\n\n

                                        \n
                                      • Marketers:<\/strong> to optimize channel mix, content, and nurture based on true contribution.<\/li>\n
                                      • Analysts:<\/strong> to build clearer reporting narratives and avoid last-click bias.<\/li>\n
                                      • Agencies:<\/strong> to prove value beyond direct-response conversions and improve client retention.<\/li>\n
                                      • Business owners and founders:<\/strong> to invest confidently in long-term growth programs in Demand Generation & B2B Marketing<\/strong>.<\/li>\n
                                      • Developers and marketing engineers:<\/strong> to implement tracking, identity stitching, and reliable data pipelines that make assisted reporting trustworthy.<\/li>\n<\/ul>\n\n\n\n

                                        16. Summary of Demand Generation Assisted Conversions<\/h2>\n\n\n\n

                                        Demand Generation Assisted Conversions measures how marketing touchpoints support<\/strong> conversions even when they aren\u2019t the final interaction. It matters because modern Demand Generation & B2B Marketing<\/strong> relies on multiple touches across content, ads, email, and sales interactions. By analyzing assisted conversion paths, teams can allocate budget more intelligently, defend upper-funnel investment, and improve full-funnel performance. Used well, Demand Generation Assisted Conversions strengthens both strategy and execution within Demand Generation & B2B Marketing<\/strong>.<\/p>\n\n\n\n

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

                                        1) What are Demand Generation Assisted Conversions in simple terms?<\/h3>\n\n\n\n

                                        They are conversions where a channel or touchpoint helped along the journey but wasn\u2019t the final interaction before the conversion happened.<\/p>\n\n\n\n

                                        2) How do Demand Generation Assisted Conversions differ from \u201cdirect\u201d or \u201clast-click\u201d conversions?<\/h3>\n\n\n\n

                                        Last-click conversions give credit to the final touch. Demand Generation Assisted Conversions highlights earlier touches that contributed, such as educational content, webinars, or retargeting.<\/p>\n\n\n\n

                                        3) Why are assisted conversions especially important in Demand Generation & B2B Marketing?<\/h3>\n\n\n\n

                                        B2B journeys are longer and involve more stakeholders. Assisted conversions show which programs build intent and trust over time, not just which channels capture demand at the end.<\/p>\n\n\n\n

                                        4) Can assisted conversions prove ROI on their own?<\/h3>\n\n\n\n

                                        Not fully. Demand Generation Assisted Conversions shows contribution and participation, but ROI is stronger when you connect assists to pipeline, revenue, and incremental lift testing.<\/p>\n\n\n\n

                                        5) What channels usually have high Demand Generation Assisted Conversions?<\/h3>\n\n\n\n

                                        Often SEO content, paid social awareness campaigns, webinars\/events, and nurture email\u2014channels that educate and influence before a buyer is ready to convert.<\/p>\n\n\n\n

                                        6) What\u2019s the biggest mistake teams make when using assisted conversions?<\/h3>\n\n\n\n

                                        Treating assisted conversion counts as the only success metric. High assists can indicate visibility without impact unless you validate quality (stage progression, revenue influence, or experiments).<\/p>\n\n\n\n

                                        7) How can I improve the accuracy of Demand Generation Assisted Conversions reporting?<\/h3>\n\n\n\n

                                        Standardize tracking (UTMs and naming), align CRM and automation data, use consistent attribution windows, and include offline\/sales touches where feasible\u2014then review results with clear governance and context.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                        Demand Generation Assisted Conversions describes the conversions (or downstream outcomes like qualified leads, opportunities, and revenue) that were **supported by earlier marketing touchpoints** even if those touchpoints were not the final interaction before the conversion happened. In modern **Demand Generation & B2B Marketing**, buying journeys are rarely linear: prospects research, compare, return, and involve multiple stakeholders. That makes Demand Generation Assisted Conversions essential for understanding what\u2019s *actually* creating demand versus what simply captures it at the end.<\/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":[1891],"tags":[],"class_list":["post-7514","post","type-post","status-publish","format-standard","hentry","category-demand-generation-b2b-marketing"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/7514","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=7514"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/7514\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=7514"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=7514"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=7514"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}