--- title: "B2B Buyability: What the Research Shows and What to Do | VertoDigital" description: "B2B buyability is the confidence a buying group needs to choose a vendor. Get the three pillars, the two studies behind them, their limits, and a playbook." url: "https://vertodigital.com/content-hub/blog/b2b-buyability" image: "https://vertodigital.com/images/site/og-default.png" --- > For AI agents: an index of every page on this site is at https://vertodigital.com/llms.txt # B2B Buyability: How to Become the Vendor a Buying Group Can Defend **Blog · Published Oct 29, 2026 · Last reviewed Oct 29, 2026 · 13 min read** By [Zoran Arsovski](/content-hub/authors/zoran-arsovski), Managing Partner, VertoDigital B2B buyability is the confidence a whole buying group needs to feel before it chooses a vendor. Buyers pick a decision they can defend if it goes wrong, and the group that has to agree is bigger than the people in your funnel. --- You have probably seen the symptoms. The champion loves the demo, the deal sits at verbal yes for weeks, then it goes quiet. Marketing says the program is working and sales says the leads are garbage ([we've written about that gap](/content-hub/blog/marketing-says-working-sales-says-garbage)). Both can be right, because the people who stall the deal never filled in a form. Much of the decision also forms before you see it. Buying groups build a Day One list, the vendors a buyer has in mind when the process starts, through peers and AI answers, so an account can be in-market without visiting your site. The WARC, LIONS Advisory, and LinkedIn guide reports that 90% of buyers use AI to research, evaluate, and shortlist. Below: what buyability is, what the research can and cannot prove, four steps to build it, and how to measure it. ## What Is B2B Buyability? B2B buyability is how confident a whole buying group feels about choosing your business. The [LinkedIn B2B Institute](https://business.linkedin.com/advertise/resources/b2b-institute/buyability) defines it as making your business the right choice for that group by being discoverable, credible, and winnable. A buying group is the cross-functional set of people who evaluate and approve a purchase, from the users who want the product to the Finance, Legal, and Procurement teams who can stop it. Our [account-based marketing](/content-hub/blog/what-is-abm) guide covers how we reach them. It is not Zillow's BuyAbility, a consumer mortgage tool that shares the name, and buyability marketing is not a new name for ABM or brand awareness. The term now spans more than one study, which the next section sorts out. Some of this is established: buyers are risk averse, and purchases are group decisions. G. David Dodd argues on [CustomerThink](https://customerthink.com/buyability-isnt-really-new-but-it-is-really-important/) that the core idea is not new, and we think that is fair. What is newer is the vocabulary and the scale of the evidence. ### The buyability framework: discoverable, credible, winnable The framework has three pillars, and each answers a question the buying group asks about you. **The three pillars of buyability** | Pillar | The buyer's question | What the group needs | |--------------|------------------------------------|--------------------------------------------------------| | Discoverable | Will the group find you? | Familiarity across every role before evaluation starts | | Credible | Do buyers believe your claims? | Proof from customers, peers, and people they trust | | Winnable | Can the buyer defend choosing you? | A case every stakeholder can say yes to | This is a practical model, not a measured finding. ## Three Sources, One Word: What the Research Actually Shows Buyability rests on three bodies of evidence: a buyer survey, a campaign analysis, and a Bain metric. Each answers a different question, and mixing them is one reason buyability b2b figures travel without their context. This table keeps them apart. **Three sources, kept apart** | Frame | Sample | What it says | What it cannot tell you | |---------------------------------------------------------|-------------------------------------|----------------------------------------------------|----------------------------------------------------| | Buyer survey: LinkedIn with NewtonX, June 2025 | 750 senior B2B buyers | Five confidence drivers, peer proof, hidden buyers | Whether it holds for smaller or low-risk purchases | | Campaign analysis: WARC, LIONS Advisory, LinkedIn, 2026 | 700 B2B campaigns, 2010 to 2025 | Seven signals; High versus Low Buyability | Causation | | Likelihood to Buy: Bain, June 2026 | 750 buyers, two software categories | Day One list plus five themes | Anything beyond software, so far | ### The 2025 buyer survey from LinkedIn and NewtonX: what drives confidence The strongest reason buyers felt extremely confident was being able to defend the decision if it went wrong. LinkedIn's survey reached 750 senior B2B buyers, 43% at VP level or above and 41% from organizations with 10,000 or more employees. The guide's five drivers are can defend it (34% of buyers), will do the job (33%), downsides managed (29%), group aligned (28%), and easy to decide (21%). The top two sit one point apart, so do not oversell the ranking. LinkedIn also reports that buyers are three times more likely to choose a vendor heavily recommended by peers or customers than one promising a better product or a lower price, and it named the 3Rs here: Recommendations, Relationships, and Relatability. The sample skews senior and large, so it may not hold for smaller purchases. ### The 2026 campaign analysis: what high-buyability campaigns have in common Campaigns with more buyability signals were more likely to report better results, and the evidence is association, not causation. WARC, LIONS Advisory, and LinkedIn coded 700 B2B campaigns from 2010 to 2025, drawn from award-winning or award-entered case studies. Seven signals were coded: customer testimonials, endorsements, or use cases; validation by experts or peers; validation by celebrities or influencers; long-term relationships; category leadership; insights from customers; and the brand's working style. The 158 campaigns with three or more signals were 1.62 times as likely to report ROI uplifts and 2.09 times as likely to report incremental revenue growth as the 542 with fewer. Limits are in the last section. ### Bain's Likelihood to Buy: turning the Day One list into a metric [Bain's Likelihood to Buy](https://www.bain.com/insights/raising-the-odds-on-a-deal-how-likelihood-to-buy-rewires-b2b-growth/) combines whether a vendor makes the buyer's Day One list with the buyer's confidence across five themes: needs, value for total cost, a defensible choice, confidence in implementation, and ease of working together. It comes from a February 2026 NewtonX survey of 750 buyers in human capital management and cloud data platforms, so it covers software only so far. The sources do not say whether that n=750 is the same dataset as LinkedIn's 2025 survey, so we do not count the two as independent confirmation. ## Why Strong Deals Stall: The Buying Group Is the Unit of Decision Strong deals stall when the buying group cannot agree or cannot feel safe, and about half of the decision influence sits with people your funnel never sees. Take an illustrative deal, not a client's: the champion loves the product, the CFO has never heard of you, Legal's review lands in week eleven, and the opportunity closes as no decision. LinkedIn and Bain report that 40% of deals stall because the group cannot agree. In our maturity view, teams move from lead-centric to [account-centric](/services/outbound/account-based-marketing) to buying-group-centric, and the third stage is where this problem gets addressed. ### Hidden buyers: the people your funnel never sees Hidden buyers are the stakeholders, often in Finance, Legal, or Procurement, who influence a purchase but rarely show up in your funnel. Target buyers are the product experts and users you already reach. LinkedIn and Bain put roughly half of decision influence with hidden buyers, and the guide reports a 51% to 49% split between target and hidden buyers. LinkedIn's Mimi Turner, as reported in The Drum, says they rarely fill in lead forms, so your pipeline report never shows them. LinkedIn calls the fear behind their caution FOMU, Fear of Messing Up, and says it outweighs the fear of missing out. A champion who cannot answer the CFO's questions tends to stop pushing. ### The Day One list: why your pipeline narrows before sales starts The Day One list is the set of vendors a buyer has in mind when the buying process starts, in Bain's definition. Bain says around 90% of buyers purchase from it, though it does not name the source. Bain describes three ways to lose: not considered, considered but not competitive, and competitive but not considered. Two of the three involve not being considered, which is the gap discoverability work addresses. This is the zero-click path in practice: peers and AI answers shape the list before the visible buyer journey begins. ## How to Build B2B Buyability: A Four-Step Playbook You build B2B buyability in four steps, each with an owner, an artifact, and a check: 1. Audit where you stand on the Day One list (discoverable). 2. Map the buying group and the question each role asks. 3. Build proof a peer can repeat (credible). 4. Hand the champion a case the whole group can defend (winnable). These steps are our recommendations, informed by the research, not findings from it. We run them as Assess, Pilot, Grow, and the free assessment at the end of this article is the Assess step. ### Step 1: Audit where you stand on the Day One list Start by finding out whether buyers had you in mind on day one, because a vendor missing from the list rarely gets to compete. Ask 10 to 20 recent buyers, won and lost, which vendors they had in mind at the start and which they learned of later. Bain asked buyers a version of this question, and our small version is directional only. Then test five to 10 category prompts in ChatGPT, Perplexity, and Google AI Overviews, and record whether you are named, how you are described, and which sources get cited. Our [B2B SEO & AEO](/services/inbound/b2b-seo-and-aeo) service covers this work, our guide to [optimizing owned content for AI search](/content-hub/blog/how-to-optimize-owned-content-for-ai-search) goes deeper, and you can try the free [B2B AI Visibility Checker](/b2b-ai-visibility-checker/tool). Finally, check whether Finance, Legal, Procurement, and IT can find independent proof of you, such as reviews, analyst mentions, and trade press. **Owner:** Marketing with Sales. **Artifact:** a one-page Day One audit. **Check:** you can state your Day One inclusion rate and where buyers first heard of you. **Breaks:** recall bias and tiny samples, so keep every claim directional. ### Step 2: Map the buying group and the question each role asks Map the roles from your last five won and lost deals and write down the question each one asks, because one message cannot answer the CFO and the champion at once. This is our working model, adapted from our [VertoTalks On-Air session on ABM in 2026](/content-hub/vertotalks-on-air/abm-in-2026-giving-sales-the-who-behind-the-what), not research. **Buying-group role map (our working model, not research)** | Role | Question they likely ask | Content focus | |---------------------------|---------------------------------------|---------------------------------------| | Technical leader | Will it fit our stack? | Integration, security, implementation | | Economic buyer | Is the spend justified? | ROI, risk, business case | | Procurement or operations | Can we buy and deploy it efficiently? | Process, compliance, onboarding | | Executive sponsor | Why change now? | Strategic impact, competitive risk | Add the hidden-buyer functions that show up in your deals, such as Finance, Legal, and IT or security. Our guides to [role-level content and trigger timing](/content-hub/blog/abm-best-practices), [Persona-level ABM](/services/outbound/persona-based-marketing), and [Contact-level ABM](/services/outbound/contact-based-marketing) go deeper. **Owner:** Product marketing with Sales. **Artifact:** a role map per segment. **Check:** every late-stage deal has a named contact in each role. **Breaks:** titles differ by company, and hidden buyers often stay unnamed until late. ### Step 3: Build proof a peer can repeat Credible means buyers can find proof from someone like them. In the campaign analysis, customer testimonials, endorsements, or use cases appeared in 64% of High Buyability campaigns and 16% of Low, the largest gap in that study (association only). LinkedIn's research also finds that socially oriented attributes outperform rational ones. Build proof by peer profile: industry, company size, and the role of the person speaking. Use named customer voices with outcomes, a period, and a baseline, and add third-party validation such as reviews, analyst mentions, communities, and trade press. Our [2026 GTM rulebook](/gtm-rulebook-2026) panel made a related point that AI tools lean on third-party signals, which is a panel view, not a measured result. **Owner:** Marketing with Customer Success. **Artifact:** a proof library indexed by role and peer profile. **Check:** a buyer in each target segment can find a peer example in under a minute. **Breaks:** customers who will not be named, and logos without outcomes. We never promise results. ### Step 4: Hand the champion a case the whole group can defend Winnable means your champion can forward one document and every stakeholder finds their answer in it. The guide recommends a shareable business case covering outcomes, implementation, and proof. Build a decision memo: the problem and the outcome, how implementation works with owners and a timeline, the top downsides and how each is managed, proof, and the cost of doing nothing, since no decision is the competitor you cannot see. Add short answers for Finance, Legal, Procurement, and IT. The memo overlaps with buyer enablement, which Forrester describes as helping buying-group members complete purchasing tasks. Then score stalled deals on five yes, partly, or no questions: can the buyer defend it, will it work, are the downsides managed, is the group aligned, and is it easy to decide? They adapt the guide's five drivers and are not its wording. **Owner:** Sales with Marketing, Legal, and Security. **Artifact:** a decision memo template and role FAQs. **Check:** the champion can forward the memo without editing it. **Breaks:** generic memos, no risk section, and Legal engaged late. ## How to Measure Buyability Without Waiting for a Closed-Won Report You can measure buyability with a few leading and lagging indicators, but none of the sources we read gives a benchmark, so you set your own baseline. We do not recommend a single buyability score, because no standard exists. **Leading and lagging buyability indicators** | Type | Metric | How to capture it | Caveat | |---------|---------------------------------------------|-----------------------------------------------------------------|---------------------------------| | Leading | Day One inclusion rate | Win and loss survey, adapted from Bain's method | Directional only | | Leading | Buying-group coverage | Roles reached per target account, from ABM data and CRM | Depends on contact data quality | | Leading | Proof-asset use | Which assets appear in late-stage deals | Needs sales to log it | | Lagging | No-decision rate | Close-lost reasons coded as competitor, no decision, or stalled | Needs clean coding | | Lagging | Win rate by Day One inclusion | CRM plus the survey | Small samples at first | | Lagging | Late-stage stall time and pipeline velocity | CRM stage dates | Reflects many causes | ### Leading indicators Leading indicators move before pipeline does. Start with Day One inclusion and buying-group coverage, which show whether the right roles know you before the deal is live. Our [Contact-level ABM](/services/outbound/contact-based-marketing) work tracks coverage by role, not only by account. ### Lagging indicators Lagging indicators show whether the leading ones changed outcomes. Close-lost coding is a good first fix, because a no-decision loss logged as lost to a competitor hides the problem. Our guide to [measuring closed-won, not MQLs](/content-hub/blog/rebuilding-attribution-closed-won-not-mqls) and our [Pipeline Intelligence](/services/b2b-pipeline-intelligence-and-marketing-attribution) practice cover the wiring. ## What the Evidence Can and Cannot Tell You The research behind buyability is useful and incomplete, so read it with its limits in view. The campaign analysis shows association, not causation. It draws on award entries written to make a case, includes only successful campaigns, has small bases for some findings, and cannot separate buyability signals from spend and campaign duration. Bain's work covers software only so far, the buyer survey skews senior and large, and the sources do not say whether the two n=750 surveys are one dataset. We sell account-based marketing, SEO & AEO, and LinkedIn advertising, services that can support parts of the playbook above. LinkedIn, which publishes the buyability research, also sells B2B advertising, and WARC and Bain sell data and consulting. Read the evidence with that in mind. **Numbers to check before you quote them** | Number to check | What the sources say | Our rule | |------------------------------|-------------------------------------------|----------------------------------------------------| | Early familiarity multiplier | LinkedIn says 20x; other coverage says 8x | Quote neither until confirmed in the full research | | Day One outcomes | 81% to 95%, measuring different things | One figure, one source | | Buying group size | The guide says 22 on average; others vary | Attribute it and say definitions vary | | AI use in research | The guide says 90%; other pages say 94% | Use 90% with attribution | In our read, what is established is that purchases are group decisions, buyers are risk averse, and peer proof persuades. What is newer is the vocabulary, the seven-signal coding, and Day One measurement at this scale. We also suspect buyability matters less for low-ticket, single-buyer, or product-led purchases, and we would like practitioners to test that. Treat B2B buyability as a useful model for complex, high-risk purchases and a hypothesis everywhere else. ## FAQ ### What is B2B buyability? B2B buyability is the confidence a whole buying group needs to feel before it chooses a vendor. LinkedIn defines it as making your business the right choice for the buying group by being discoverable, credible, and winnable. The idea is that buyers are buying a decision they can defend, so winning takes more than product fit. ### What are the three pillars of buyability? The three pillars of buyability are discoverable, credible, and winnable. Discoverable means the whole buying group knows you before evaluation starts, ideally putting you on the Day One list. Credible means buyers believe your claims because of customer proof, peers, and relationships. Winnable means every stakeholder, including Finance, Legal, and Procurement, has what they need to say yes. ### What are the 3Rs of buyability? The 3Rs of buyability are Recommendations, Relationships, and Relatability. A WARC, LIONS Advisory, and LinkedIn analysis of 700 B2B campaigns grouped seven signals under them, such as customer testimonials, long-term relationships, and customer insight. Campaigns showing three or more signals were more likely to report better outcomes, but the authors describe this as association, not proof of cause. ### Who are hidden buyers in B2B? Hidden buyers are stakeholders, such as those in Finance, Legal, or Procurement, who influence a B2B purchase but rarely appear in your funnel. LinkedIn and Bain report that they hold roughly half of the decision influence. Treat that share as one research program's finding, not a universal rule, and expect it to vary by purchase and industry. ### Why do B2B deals end in no decision? B2B deals end in no decision when the buying group cannot agree or cannot feel safe choosing anyone. LinkedIn and Bain report that 40% of deals stall because the group cannot agree, and LinkedIn's buyability page cites The JOLT Effect for 40% to 60% ending in no decision. Buyers fear messing up, so a strong vendor can stall without a case the champion can defend. ### Is B2B buyability the same as Zillow's BuyAbility? B2B buyability is not the same as Zillow's BuyAbility. Zillow BuyAbility is a consumer mortgage tool, launched by Zillow Home Loans in May 2024, that estimates how much home a person can afford. B2B buyability is a marketing and sales model about whether a buying group feels confident choosing a vendor. The two share a name and nothing else. ## Where to Start: How We Apply Buyability at Verto Start with an honest look at where you stand, not a new buyability marketing program. We help with the parts of the playbook that map to our work: buying-group reach through [Account-level ABM](/services/outbound/account-based-marketing), discoverability in search and AI answers through SEO & AEO, [LinkedIn advertising](/services/inbound/b2b-and-saas-linkedin-advertising), and measurement through Pipeline Intelligence. We do not claim the research proves our services work. LinkedIn publishes the buyability research and also sells B2B advertising, and we are a [LinkedIn Ads certified agency](/content-hub/blog/linkedin-ads-certified-agency). Our free [B2B Pipeline Assessment](/assessment) is a five-day diagnostic that includes an AI search visibility check across ChatGPT, Perplexity, and Google AI Overviews and a pipeline signal analysis tracing clicks to closed-won deals. It does not measure buyability, but it shows where buyers and AI systems find you today. Deals stall when a group of people cannot yet defend choosing your product. B2B buyability is the work of making that choice easy to defend.