In January 2024, a Series C infrastructure company we work with ran an experiment they didn't intend to run.
Their CRO split the sales floor into two pods. Both had the same product, the same pricing, the same territory quality, the same average deal size of $380K. Pod A ran the standard playbook: identify champion, qualify with MEDDPICC, work the deal through stages, close. Pod B did one thing differently. Before any deal advanced past discovery, the team had to map the full buying committee and show engaged contacts across at least three functional areas -- not just the champion's department.
After two quarters, Pod A had closed 14 deals worth $5.3 million. Pod B had closed 23 deals worth $11.2 million. Same reps. Same product. Same quarter. The only variable was the unit of analysis: Pod A sold to individuals within accounts. Pod B sold to buyer groups.
That is not a marginal improvement. That is a 2.1x difference in revenue from a single operational change. And it is the clearest proof point I have seen for the argument this manifesto makes: the buyer group is the fundamental unit of B2B revenue, and every organization that fails to orient around it is leaving the majority of its potential on the table.
The Wrong Unit
For twenty-five years, B2B revenue has been organized around a sequence of abstractions that do not match how buying actually works.
First came the lead. A name and an email address. Someone downloaded a whitepaper or attended a webinar. Marketing declared them a Marketing Qualified Lead, tossed them over the wall to sales, and counted the handoff as a win.
Then came the account. Account-based marketing recognized that leads were too granular, that you needed to target companies, not individuals. ABM was a genuine improvement. It moved the unit of analysis from a person to an organization. But it stopped one level too soon.
Here is the problem with both: neither a lead nor an account buys anything.
A lead is a person. A person cannot approve a $400K enterprise software purchase alone. They can champion it, evaluate it, advocate for it -- but they cannot sign the check, clear the security review, approve the legal terms, and align the implementation team by themselves. No individual can.
An account is a company. A company is a legal entity. It has a logo, a domain, a headquarters. But "Acme Corp" does not sit in a conference room and decide to buy your product. A group of humans inside Acme Corp does. And those humans have different mandates, different risk tolerances, different definitions of success, and frequently different opinions about whether to buy at all.
Gartner reports that the average complex B2B purchase now involves 11 individual stakeholders, scaling to 20 or more for enterprise-level decisions.^1^ Forrester puts it at 13, with 89% of purchases crossing multiple departments.^2^ These numbers have roughly doubled in the past decade. The group -- not the lead, not the account -- is where the decision lives.
Every metric built on the wrong unit inherits the same blindspot. Pipeline coverage measured in dollars tells you nothing about whether the humans who decide are engaged. MQL counts tell you nothing about whether the right combination of people are moving together. Stage progression tells you what the seller has done, not what the buyer group has decided.
The unit of analysis is wrong. And you cannot build a correct system on an incorrect foundation.
The Evidence Against the Status Quo
The cost of organizing around the wrong unit is not theoretical. It is measured in lost deals, wasted quarters, and broken forecasts.
40-60% of qualified B2B pipeline ends in "no decision." Not a competitor win. Not a budget cut. Organizational paralysis. Matthew Dixon's research, based on 2.5 million sales conversations, found that the majority of these losses -- 56% -- involved buyers who actively wanted to move forward but could not bring themselves to commit.^3^ The enemy is not the status quo. It is the committee's inability to converge.
Each additional stakeholder adds 23 days to the sales cycle. We measured this across 2,300 enterprise deals with complete engagement data. A five-person committee closes in 92 days. A ten-person committee takes 207 days. The drag is linear and relentless. Ebsta and Pavilion's analysis of 4.2 million opportunities confirms the macro trend: sales cycles have extended 38% compared to 2021.^4^
70% of lost deals had at least one stakeholder the sales team never engaged. Not a peripheral observer -- someone who materially influenced the outcome. A CISO who vetoed on security grounds. A CFO who killed the budget without the champion ever knowing. A VP of Engineering who had been burned by a similar product two years prior and had an unspoken veto.^5^
74% of buying teams experience "unhealthy conflict" during the decision process. Gartner's 2025 survey of 632 B2B buyers found that three-quarters of buying groups are fighting through internal disagreements -- on priorities, on approach, on whether to buy at all.^6^ This is not an edge case. It is the baseline condition of enterprise buying.
Only 25% of B2B sales reps hit quota in 2024. QuotaPath found that 91% of organizations missed quota expectations.^7^ The miss is systemic, not individual. Quotas rose 37% in a single year while the buying environment got measurably harder.^8^
These are not independent problems. They are symptoms of the same structural failure: revenue organizations built around leads and accounts trying to navigate a world where the buyer group is the unit that decides.
What Go-to-Buyer Actually Means
Go-to-Buyer is not a rebrand of ABM. It is not a new acronym for the same playbook. It is a fundamental reorientation of the revenue operating system around the unit that actually decides: the group of humans who must reach consensus for a purchase to happen.
The shift has three layers.
Layer 1: The Unit of Analysis
GTM asks: Which accounts should we target?
GTB asks: Which buyer groups are we engaging, and how completely?
That single change rewires everything downstream. Pipeline coverage stops being a dollar figure and becomes a measure of stakeholder depth. An MQL stops being "someone from the account engaged" and becomes "a member of the buying committee engaged in context." Forecasting shifts from rep-reported confidence to observable buyer group behavior -- how many stakeholders are engaged, in which roles, at what depth of commitment.
Our data shows that pipeline coverage -- the metric every CRO presents to the board -- has a correlation of r = 0.23 with quarter outcomes.^5^ That is barely above noise. Stakeholder coverage -- the average number of engaged stakeholders per deal -- correlates at r = 0.71. Three times more predictive.
Teams with 4x pipeline coverage and low stakeholder engagement hit quota 34% of the time. Teams with 2.5x pipeline coverage and high stakeholder engagement hit quota 78% of the time. Less pipeline. More depth. Better outcomes.
Layer 2: The Unit of Investment
In a GTM world, marketing spends money generating leads and building account awareness. Sales spends time qualifying opportunities and working deals through stages. The investment is allocated by channel, by account tier, by pipeline stage.
In a GTB world, the investment is allocated by buyer group health. A deal with a strong champion but no engagement with IT security, finance, or the economic buyer is not a deal in good shape -- it is a deal with a coverage gap that predicts failure. Resources flow to close the gap: multi-thread to the missing stakeholders, arm the champion with function-specific materials, run parallel workstreams across the committee.
This is not just a different allocation strategy. It is a different definition of what "investment" means. In GTM, you invest in filling the pipeline. In GTB, you invest in completing the buyer group. The distinction is the difference between volume and precision.
Layer 3: The Unit of Revenue
This is the most radical claim in the manifesto, and the one I believe most strongly: the buyer group is the unit of revenue.
Not the deal. Not the opportunity. Not the account. The buyer group.
A deal is a CRM object. An opportunity is a pipeline entry. An account is a logo. None of these things produce revenue. Revenue happens when a group of humans inside an organization reach sufficient alignment to act. The quality of that alignment determines not just whether the deal closes, but how it closes -- the speed, the size, the terms, the likelihood of successful implementation, the probability of renewal and expansion.
Gartner found that buying groups reaching consensus are 2.5x more likely to report the resulting deal was high-quality.^6^ Buyers who feel confident in their purchasing decision are 3.6x more likely to expand later.^9^ The buyer group is not just the gate to revenue. It is the engine of revenue quality.
The Consensus Cascade
Understanding why GTB works requires understanding how buying groups actually make decisions. And the way they make decisions is not how most sales methodologies assume.
Most sales training treats buying committees like juries -- as if you need to convince each person independently and then count the votes. That model is wrong. Enterprise buying committees do not reach consensus through mass agreement. They reach it through cascading endorsements.
The pattern, which we have observed across thousands of deals, is consistent:
First, a champion becomes convinced and begins advocating internally. Not to the economic buyer -- to their immediate peers and adjacent stakeholders. People who trust their judgment.
Second, those stakeholders endorse to their own networks. A convinced architect tells the security team the integration approach is sound. A convinced operations lead tells their VP the workflow impact is real. Each endorsement carries the weight of the endorser's functional expertise.
Third, endorsement reaches the economic buyer as organizational momentum. The deal arrives not as a pitch but as: "Your team has evaluated this thoroughly, multiple functions have signed off, and here is the business case." That is a fundamentally different conversation than a cold presentation to a C-suite executive.
The academic literature on information cascades, going back to Bikhchandani, Hirshleifer, and Welch, confirms this mechanism at a theoretical level.^10^ Sunstein and Hastie expanded on it, identifying both informational cascades (people defer to early movers' information) and reputational cascades (people stay silent to avoid social criticism).^11^ Both operate in buying committees. Both can work for you or against you.
Here is the critical insight: you cannot engineer a cascade if you cannot see the group.
If you are engaged with three people in one department, you have no idea whether endorsements are flowing to security, finance, legal, or the executive suite. You have no idea whether the cascade is forming, stalling, or moving in the wrong direction. You are flying blind.
GTB gives you sight. When you map the full committee, track engagement across functions, and monitor which stakeholders have endorsed to others, you are not just managing a deal. You are engineering the consensus mechanism that produces revenue.
The Five Principles
If GTB is the philosophy, these are the operational principles that make it real.
Principle 1: Map the Committee Before You Sell
The buying committee map is a first-day artifact, not a last-resort exercise.
Before any substantive selling begins, identify every stakeholder who will influence the outcome. Use your champion's knowledge, organizational charts, LinkedIn, historical deal patterns, and any intelligence you can gather about the prospect's internal governance. The map will be imperfect. Imperfect and early beats perfect and late by a wide margin.
6sense's research found that 81% of B2B buyers already have a preferred vendor at the time of first contact, and buyers are nearly 70% through their purchasing process before engaging sellers.^12^ If you are not mapping the committee from day one, you are entering a game that started without you.
The expected committee size is not static. It scales with deal value: roughly 4 stakeholders at $50K, 7 at $150K, 11 at $500K, and 16 at $1M+. Industry matters too -- healthcare committees average 13.7 people at $500K; technology averages 10.4.^5^ Calibrate your expectations to the deal, not to a generic template.
Principle 2: Multi-Thread by Design, Not by Accident
The data on multi-threading is the most unambiguous finding in all of enterprise sales research.
Gong's analysis of 1.8 million deals: closed-won deals have 2x the buyer contacts of closed-lost deals. Multi-threading boosts win rates by 130% on deals over $50K.^13^ UserGems' research across 5,000+ opportunities: multi-threaded deals show a 5x higher win rate than single-threaded deals, with deal sizes 57% larger.^14^ Combined with engaging previous champions, win rates reach 8x.
Yet 70% of opportunities still have only a single point of contact.^14^
This is the most fixable gap in enterprise sales. And fixing it requires making multi-threading systematic, not optional. Build it into stage gates: no deal advances past discovery without contacts in at least two functional areas. No deal enters negotiation without the economic buyer engaged. No deal reaches commit without coverage across all stakeholder categories.
The math is straightforward. Five stakeholders who each need three weeks of engagement, run sequentially: 15 weeks. Run three in parallel: seven weeks. Same depth. Fifty-three percent less time.
Principle 3: Sequence for Cascade, Not Seniority
The instinct is to go up the org chart. Convince the IC, then the manager, then the director, then the VP. Cascade sequencing is different. You start with the stakeholders who have the most influence over other stakeholders.
A convinced architect gives the security team confidence that the technical foundation is sound. A convinced finance analyst gives procurement confidence that the economics work. A convinced end-user group gives the executive sponsor confidence that adoption will not be a problem.
The right question is not "who is most senior?" It is: "if I convince this person, who else becomes easier to convince?"
| Priority | Stakeholder Type | Cascade Effect |
|---|---|---|
| First | Technical validators (architects, security) | Removes risk objections for everyone downstream |
| Second | End-user champions (team leads, power users) | Creates demand-side pull executives cannot ignore |
| Third | Financial evaluators (FP&A, procurement) | Establishes commercial credibility |
| Fourth | Executive sponsors | Receives the cascade as organizational momentum |
Principle 4: Arm Every Stakeholder to Endorse
Every member of the buying committee needs to be able to say "I have done my diligence" to their peers. That requires function-specific materials, not a generic slide deck.
Gartner's research here is counterintuitive and important: content tailored for individual-level relevance actually hurts consensus, creating a 59% negative impact on buying group alignment. Content tailored for buying-group-level relevance -- content that helps members understand each other's perspectives and see the shared organizational need -- improves consensus by 20%.^6^
The distinction matters. The CFO does not need to be excited about the product. The CFO needs to see a three-year TCO model with their actual numbers. The CISO does not need a product demo. The CISO needs SOC 2 reports, penetration test results, and a data residency map. The end-user champion does not need an ROI analysis. They need pilot results showing day-one versus day-thirty experience.
Each of these artifacts is not just information. It is an endorsement tool. When the architect sends your integration doc to the security team with a note saying "I reviewed this -- it is solid," that is a cascade in motion.
Principle 5: Measure What Actually Predicts
Replace pipeline-centric metrics with buyer-group-centric metrics.
Instead of pipeline coverage, track stakeholder coverage: the average number of engaged stakeholders per deal, weighted by role importance and engagement depth.
Instead of stage progression, track committee completeness: what percentage of the expected buying committee has been identified, engaged, and moved to endorsement?
Instead of rep-reported forecast, track buyer group health: are the right roles engaged? Is the economic buyer in the conversation? Are endorsements cascading? Has the coverage quality score crossed the threshold that historically predicts closure?
This is not adding metrics. It is replacing metrics that do not work with metrics that do. The win rate difference between "excellent" stakeholder coverage (85%+ of expected committee engaged) and "limited" coverage (below 45%) is nearly 6x -- 47% versus 8%.^5^ No other pipeline metric produces that kind of separation.
The Operating System Change
These principles are not tactical tips to layer onto an existing process. Implemented fully, they constitute an operating system change -- a rewiring of how revenue teams plan, execute, measure, and learn.
Planning changes. Territory and account planning stops at the account level in GTM. In GTB, planning extends to the buyer group level: which committees are we likely to encounter, what roles will be involved, what historical patterns predict success or failure at organizations of this type?
Execution changes. The daily work of selling shifts from "advance the deal through stages" to "complete the buyer group and engineer the cascade." Reps stop asking "what is my next step?" and start asking "who have I not engaged, and what do they need?"
Measurement changes. Deal reviews stop asking "where are we in the process?" and start asking "where is the cascade?" Which stakeholders have endorsed? Where is it stalled? Who is the next domino?
Learning changes. Every won and lost deal generates intelligence about buyer group patterns at similar companies -- which roles appeared, which combinations predicted wins, which stakeholders were invisible until it was too late. That intelligence compounds. A team that has mapped 500 buying committees has pattern-matching capability that a team with 50 cannot replicate.
This compounding is the real strategic value of GTB. It is the network effect of B2B sales. Every deal makes the next deal more winnable. Every committee mapped improves the model. The gap between organizations that accumulate this intelligence and those that do not widens every quarter.
What This Replaces
Let me be explicit about what GTB renders obsolete.
The MQL as a unit of value. An individual expressing interest is a signal, not a qualified opportunity. The signal gains meaning only when placed in the context of a buyer group. A VP of Engineering downloading your whitepaper is a different signal than an SDR at the same company doing the same thing. Same action. Different buyer group context. Different value.
Pipeline coverage ratios as a forecasting tool. A 4x coverage ratio that is single-threaded across most deals is not a safety margin. It is a fiction. Stakeholder-weighted pipeline coverage -- dollar value discounted by buyer group health -- is the metric that actually predicts quarter outcomes.
Stage-based pipeline inspection. "Stage 3" tells you the rep sent a proposal. It tells you nothing about whether the five people who need to approve that proposal have been engaged. Stage is a seller activity measure, not a buyer readiness measure.
Champion-centric deal management. The champion is essential. But managing a deal through the champion alone is like trying to win a team sport by coaching one player. CEB found that 51% of customers willing to buy are not willing to champion the purchase to other stakeholders.^15^ Half your "champions" are not actually championing. You need to see and engage the full group.
Account scoring as a proxy for deal quality. Firmographic fit tells you the company matches your ICP. It tells you nothing about whether the buyer group inside that company is accessible, aligned, or even formed. The best-fit account in the world is worthless if the committee is fragmented, conflicted, or invisible to your team.
The Buyer's Side
There is one more reason to make this shift, and it may be the most important: buyers want it too.
Gartner found that buyers spend only 17% of their total purchasing time meeting with potential suppliers.^1^ When comparing multiple vendors, each rep gets 5-6% of the buyer's attention. The rest is internal work -- research, consensus building, managing objections from colleagues, navigating governance processes. And 81% of buyers report dissatisfaction with their chosen providers -- not the ones they rejected, the ones they selected.^2^
Why? Because no one helped them navigate the internal complexity. No one gave them the tools to build consensus. No one mapped the decision to the group. Every vendor mapped it to the account and hoped for the best.
When buying groups reach consensus effectively, they are 2.5x more likely to report the deal was high-quality.^6^ Effective consensus does not just close deals. It produces better deals -- faster implementation, higher adoption, stronger retention, greater expansion.
Helping the buyer group align is not just a selling strategy. It is what buyers are desperate for someone to do. The companies that figure this out will not just win more deals. They will win better deals, with more satisfied customers, who stay longer and buy more.
The Case for Urgency
I will close with the arithmetic that makes this manifesto urgent rather than aspirational.
Buying committees have doubled in size in a decade. The "no decision" rate sits between 40% and 60%. Sales cycles have extended 38%. Win rates have declined 18%. Only 25% of reps hit quota. Ninety-one percent of organizations missed their number.
These trends are not reversing. Buying committees will continue to expand as organizations add governance layers -- AI review boards, data ethics committees, cross-functional procurement processes. The consensus problem will get harder, not easier.
The organizations that continue to operate on a lead-based or account-based model will continue to see their pipeline evaporate, their forecasts miss, and their reps burn out on deals that were never winnable because the buyer group was never engaged.
The organizations that shift to GTB -- that make the buyer group the unit of analysis, the unit of investment, and the unit of revenue -- will build a compounding advantage. Every quarter, their buyer group intelligence deepens. Every deal, their pattern recognition improves. Every committee mapped makes the next committee easier to navigate.
This is not incremental optimization. It is a structural shift in how B2B revenue works. The buyer group has always been how enterprise purchases are decided. We just never built the operating system to match.
It is time to build it.
The buyer group is not the next tactic. It is the next foundation. The companies that see this first will not just outperform their competitors. They will make their competitors' model obsolete.
Notes
^1^ Gartner, "The B2B Buying Journey," 2024-2025. Average complex B2B purchase involves 11 individual stakeholders, scaling to 20 for enterprise deals. Buyers spend 17% of total purchasing time meeting with suppliers; 5-6% per vendor when comparing multiple options.
^2^ Forrester, "The State of Business Buying, 2024." Average of 13 stakeholders, 89% of purchasing decisions crossing multiple departments, 86% of purchases stalling during the process, and 81% of buyers reporting dissatisfaction with chosen providers.
^3^ Dixon, M. and McKenna, T. The JOLT Effect: How High Performers Overcome Customer Indecision. Portfolio/Penguin, 2022. Analysis of 2.5 million sales conversations. 56% of lost deals stem from customer indecision rather than status quo preference; 87% of customers demonstrate moderate-to-high indecision; traditional pressure tactics backfire 84% of the time.
^4^ Ebsta and Pavilion, "2024 B2B Sales Benchmarks." Analysis of 4.2 million opportunities and $54 billion in pipeline. Sales cycles extended 38% compared to 2021; win rates declined 18% since 2022; 69% of reps falling short of quota.
^5^ Adrata internal analysis of 2,300-4,100 enterprise deals with complete stakeholder engagement data, 2022-2026. Pipeline coverage correlation with quarter outcomes: r = 0.23. Stakeholder coverage correlation: r = 0.71. Coverage quality win rates: excellent (47%), good (36%), fair (19%), limited (8%).
^6^ Gartner, "Sales Survey Finds 74% of B2B Buyer Teams Demonstrate 'Unhealthy Conflict' During the Decision Process," May 2025. Survey of 632 B2B buyers. Buying groups reaching consensus are 2.5x more likely to report a high-quality deal. Individual-level content creates 59% negative impact on consensus; group-level relevance improves it by 20%.
^7^ QuotaPath, "2024 Compensation Trends Report." Survey of 450+ RevOps, Finance, and Sales leaders. 91% of organizations missed quota expectations.
^8^ SaaStr analysis, 2024. Sales quotas rose 37% from 2023 to 2024. Only 18% of sales teams hitting 70%+ attainment. Average Q4 2024 quota attainment: 43.14%.
^9^ Gartner, "Customers Who Are Confident in Their Decision Making Are 2.6 Times More Likely to Buy More," 2019/2024. Updated research shows 3.6x multiplier on high-quality deal completion and expansion.
^10^ Bikhchandani, S., Hirshleifer, D., and Welch, I. "A Theory of Fads, Fashion, Custom, and Cultural Change as Informational Cascades." Journal of Political Economy, 1992. Foundational work on cascade effects in sequential group decision-making.
^11^ Sunstein, C.R. and Hastie, R. Wiser: Getting Beyond Groupthink to Make Groups Smarter. Harvard Business Press, 2015. Identifies informational cascades and reputational cascades as primary mechanisms of group alignment and error amplification.
^12^ 6sense, "The B2B Buyer Experience Report," 2024. 81% of buyers have a preferred vendor at first contact; buyers are 70% through their process before engaging sellers.
^13^ Gong Labs, "Data Shows Top Reps Don't Just Sell -- They Orchestrate," 2024-2025. Analysis of 1.8 million deals. Closed-won deals have 2x buyer contacts; multi-threading boosts win rates 130% on deals over $50K; selling teams for won deals are 67% larger.
^14^ UserGems, "How Much Is Multithreading Worth to Your Pipeline and Revenue?" Analysis of 5,000+ opportunities. Multi-threaded deals: 5x win rate, 57% larger deal sizes. Combined with previous champions: 8x win rate, 2.5x deal size increase. 70% of opportunities remain single-threaded.
^15^ CEB (now Gartner), B2B buying research. 51% of customers willing to buy are not willing to champion the purchase to other internal decision-makers.
This manifesto builds on research published in The Consensus Tax, The Authority Gap, The Buying Committee, and Go To Market vs. Go To Buyer -- all available in the Sky Lobby by Adrata content hub.