The Z Axis: Understanding Demand
The dimension that determines whether precision and relevance produce revenue -- or just produce head nods. Ross Sylvester, Founder, CEO | Part three of the Problem Articulation Series | 18 min read | Framework
A Problem at Rest Stays at Rest
Newton wrote the first law in 1687: an object at rest remains at rest unless acted upon by an external force. He was describing physics, but he was also describing every enterprise deal you have ever lost to "no decision."
Precision was the first dimension of this series -- eight vectors that turn vague complaints into actionable diagnoses. Relevance was the second -- the same problem reframed for the CRO and VP Sales, because the archetype determines which version lands.
Together they produce problem statements that are accurate and targeted. A CRO hears your diagnosis and nods. "That's a real problem. You clearly understand our world."
And then they go back to their week.
Because a problem -- no matter how precisely articulated, no matter how perfectly targeted -- is still an object at rest. It will stay at rest until something acts on it with sufficient force. This is the dimension most go-to-market teams never build: the z axis. Not what the problem is. Not who it's for. But whether the conditions exist for that problem to create motion.
Forty to sixty percent of qualified B2B pipeline ends in "no decision."^1^ Not lost to a competitor. Not lost to budget. Lost to inertia. Matt Dixon and Ted McKenna's research across 2.5 million recorded sales conversations found that 56% of deals where the buyer expressed a clear desire to move forward still ended in no decision -- the buyer wanted to act but could not overcome the gravitational pull of the status quo.^2^ Not indifference. Not preference for the current vendor. Fear of making the wrong choice.
That is not a closing problem. That is a demand problem. And it starts long before the deal enters your pipeline.
Demand Is Not What You Think It Is
Here is what demand is not: it is not desire. It is not interest. It is not pain.
People in equilibrium will complain about their pain with remarkable eloquence -- and then do exactly nothing about it. Every CRO in enterprise B2B knows their pipeline has quality issues. They have known for years. The knowledge does not create action. Pain is a state. You can live in a state indefinitely.
Kahneman and Tversky demonstrated why in 1979: losses loom roughly twice as large as equivalent gains.^3^ Their prospect theory -- the most cited paper ever published in Econometrica -- revealed that the pain of losing $1,000 is psychologically equivalent to the pleasure of gaining $2,000. The ratio holds across cultures and contexts with a 90% replication rate globally.^4^ In enterprise B2B, this asymmetry cuts both ways. The buyer feels the pain of their current situation -- but they feel the potential pain of a bad decision even more acutely. A bad purchase carries not just financial risk but career risk, reputational risk, the kind of risk that gets talked about in hallways. Status quo bias is not laziness. It is loss aversion wearing a corporate badge.
This is why desire is not demand.
Demand is a vector. It has magnitude and direction. It measures how hard someone is pushing against their current situation -- and whether that push has overcome the friction holding them in place.
Bob Moesta, co-architect of the Jobs to Be Done framework with Clayton Christensen, identified the origin point: the "struggling moment."^5^ The instant when something stops working and a person asks, "Can I keep doing this?" That question -- not the pain itself, but the moment the pain becomes intolerable -- is where demand begins.
But a struggling moment is only the ignition. Christensen and Moesta mapped four forces that determine whether ignition becomes motion^6^:
- Push -- dissatisfaction with the current situation
- Pull -- attraction of a better alternative
- Anxiety -- fear of the new solution failing
- Habit -- comfort of the familiar, however broken
A switch happens only when push and pull exceed anxiety and habit. In consumer purchases, this calculus plays out in one person's head. In enterprise B2B, it plays out across five to sixteen stakeholders spanning as many as four functional areas, each running their own version of the equation, each weighting each force differently.^7^ Gartner's 2024 survey of 632 B2B buyers found that buying groups reaching consensus are 2.5 times more likely to report a high-quality deal outcome -- but that 74% of buying teams exhibit "unhealthy conflict" during the process.^8^ The consensus itself is a force equation. Every stakeholder who cannot reconcile push and pull adds drag.
This is why enterprise demand is fundamentally different from desire. Desire lives in individuals. Demand requires organizational escape velocity.
The Four Conditions That Create Action
In enterprise B2B, demand exists -- real demand, the kind that produces signed contracts and not just pipeline entries -- when four conditions are simultaneously true. All four. Not three.
Condition 1: Project
There is something on someone's priority list. Not a wish. Not an awareness. A funded, staffed, or deadlined initiative. The CRO does not just "know" pipeline quality is an issue. Pipeline quality is a line item in their Q3 plan. Someone owns it. There is a meeting cadence around it.
Rob Snyder frames this with precision: demand is not created -- it already exists as an unavoidable project on a buyer's plate.^9^ People only buy when a project becomes urgent this week. Not because you pitched well. Not because your email sequence was compelling. Because something is on their to-do list that cannot wait.
When this condition is absent, you hear: "That's a great point. We should think about that."
Translation: nobody owns this. Nothing will happen.
Condition 2: Force
Something made the project unavoidable. Not gradually uncomfortable -- unavoidable. The board asked a pointed question, twice. A competitor won a deal that should have been theirs. Two top reps left in the same month. A new CRO arrived with a 90-day mandate.
MEDDICC research shows a strong positive correlation (0.8) between deals with a customer-defined compelling event and both faster sales cycles and higher win rates -- yet 85% of deals in the average pipeline have no identified compelling event at all.^10^ That gap is not a data hygiene problem. It is a demand problem disguised as a CRM problem.
Gartner's research confirms that technology buying teams are most motivated when a purchase addresses organization-level strategic goals -- and that motivation spikes when a specific event makes the goal urgent.^11^ New executive appointments, missed earnings, M&A activity, competitive losses -- these are forces. They act on organizations like gravity acts on mass. In 2025, 56% of CEOs pursued M&A activity, each transaction triggering cascading reviews of vendor relationships, systems, and infrastructure.^12^ Every one of those reviews is a force acting on a buyer who did not plan to buy this quarter.
When this condition is absent, you hear: "It's on our roadmap for next year."
Translation: the problem exists but the force does not.
Condition 3: Failed Remedies
They have tried to solve this. More coaching. More pipeline. A new methodology. A CRM migration. And it did not work. The standard playbook hit its ceiling.
This condition is critical and underappreciated. When the obvious solutions have failed, two things change simultaneously. First, the buyer becomes open to solutions that are fundamentally different. Second, they develop the vocabulary to understand why your solution is different. They can see the ceiling because they have hit it.
6sense's 2025 Buyer Experience Report reveals that buyers complete roughly 60% of their journey before engaging any vendor -- down from 70% in prior years, but still the decisive majority of the evaluation.^13^ Much of that independent research is spent trying existing approaches and discovering their limits. The buyer who has tried and failed is not just more open -- they are more sophisticated. They have pattern-matched against the obvious solutions and found them insufficient.
When this condition is absent, you hear: "We've got some initiatives underway. I think we're handling it."
Translation: they still believe the current approach will work. Competing against "let's try more of what we're already doing" is the hardest battle in enterprise sales -- because you are not competing against a vendor. You are competing against optimism.
Condition 4: Limitations of Alternatives
The options they have considered -- competitors, manual processes, hiring, doing nothing -- have visible limitations. They have looked at the landscape and nothing solves the actual problem as they now understand it.
This is where your diagnosis becomes decisive. If you have articulated the problem with enough precision that the buyer can see why their alternatives do not work -- the structural reason, not just the symptoms -- you have earned the position before the product demo starts. Forrester found that the vendor who does the most to shape the prospect's vision of a solution wins 74% of subsequent purchase decisions.^14^ And 6sense's data shows 81% of buyers choose a preferred vendor before speaking with sales -- with 77% ultimately purchasing from that preliminary favorite.^15^
The implication is stark: if you are not the vendor shaping how the buyer thinks about the problem during their independent research phase, you are competing for the 23% of deals where the frontrunner stumbles.
When this condition is absent, you hear: "We're evaluating a few vendors."
Translation: you are in a bake-off and you are one of five interchangeable options.
The Diagnostic Tells
| What You Hear | Missing Condition | What It Means |
|---|---|---|
| "We should think about that." | Project | Awareness without ownership |
| "It's on our roadmap for next year." | Force | Priority without urgency |
| "We're handling it." | Failed Remedies | Optimism without evidence |
| "We're evaluating a few vendors." | Limitations | Demand without differentiation |
When all four conditions are present, the conversation sounds different. The person is not nodding politely. They are leaning forward. The verb tense changes from conditional to present. Should becomes will. Might becomes when.
The Two Failure Modes
Every deal lost to no decision is a failure of the force equation. But the failures come in two distinct varieties, and confusing them is expensive.
Force without diagnosis. Something hit them -- a board question, a lost deal, a missed quarter. They are in motion. They have budget. But they have no clear picture of what they are solving. This produces RFPs and bake-offs where five vendors compete on features because nobody anchored the evaluation on a precise problem. Gartner's data: 74% of B2B buying teams exhibit unhealthy conflict during the decision process -- conflicting objectives, disagreement on the best course of action, or external decision-makers overruling the group.^8^ Not because they disagree on the solution. Because they never agreed on the problem.
Corporate Visions' research quantifies this directly: there is an average 54.5% misalignment between how sellers and buyers perceive the core problem to be solved. When sellers and buyers align on the problem definition, win rates improve by 38%.^16^ Force without diagnosis creates activity without direction. Eventually, the force dissipates and the deal dies of entropy.
Diagnosis without force. You deliver a perfectly precise, archetype-relevant problem statement. The CRO agrees with every word. "You're exactly right." And then nothing happens. Not because they disagree. Because no force is acting on them. The problem is real but it is at rest. An object at rest stays at rest.
This is the failure mode that mystifies sellers. The meeting was excellent. The diagnosis was validated. The deal went dark. The seller blames timing. The real diagnosis: force was insufficient to overcome organizational inertia. McKinsey's research found that approximately 70% of B2B customers prefer to maintain existing arrangements even when better alternatives exist.^17^ That is not rational evaluation. That is loss aversion at organizational scale -- the same Kahneman-Tversky asymmetry, now distributed across a buying group where every individual stakeholder independently calculates that the risk of change exceeds the cost of staying.
The convergence. When force and precision arrive at the same moment, the physics change. The CRO just missed their second forecast. The board asked pointed questions. They tried adding pipeline and it did not fix conversion. They tried more coaching and the variance did not move. And then they hear: "62% of your pipeline has no decision maker engaged. Your system measures seller activity but not buyer engagement -- which is why more pipeline and more coaching haven't worked. They're solving the wrong side of the equation."
Not "how interesting." Not "let's think about it." But: "How fast can we move?"
The Z Axis: Force x Depth
Here is the full model.
The x axis is precision -- how well-articulated is the problem? Eight vectors.
The y axis is relevance -- is it framed for the right person? The archetype determines the language, the metrics, the consequences.
The z axis is force x depth -- the demand conditions present multiplied by how precisely your articulation maps to this person's unique circumstances.
The x axis tells you the problem is real. The y axis tells you it is aimed at the right person. The z axis tells you it will create motion.
Force comes first because it is the prerequisite. Without it, depth is academic. "You clearly understand our business. Let's talk next quarter."
With force present, depth determines whether you win the conversation or someone else does.
What Is Depth?
Depth is archetype layering -- the distance between generic and specific.
In Article 2, we used one dimension: the executive archetype. CRO. VP Sales. That is the role layer -- what someone always cares about. But "CRO" is still a segment. One CRO is at a scaling startup burning through a Series C. Another is at a Fortune 500 in an efficiency cycle. Same title. Completely different situation. The articulation that moves one will bounce off the other.
Eight archetype dimensions determine depth:
| # | Dimension | What It Answers |
|---|---|---|
| 1 | Executive Archetype | What role, priorities, KPIs? |
| 2 | Persona Archetype | How do they behave as a buyer? |
| 3 | Communication Style | How do they process information? |
| 4 | Decision Pattern | How do they commit? |
| 5 | Company Archetype | What is the organization doing? |
| 6 | Deal Archetype | What is the buying pattern? |
| 7 | Buyer Group Role | What structural role are they playing? |
| 8 | Blocker Archetype | What resistance pattern is present? |
Most conversations need three: executive archetype (always), company archetype (usually), and one situational dimension -- whichever is most active in this conversation.
Force x Depth: The CRO at Three Levels
Take Pipeline Substance -- CRO Problem 1 from Article 2.
Level 1: Executive Archetype only.
"62% of your pipeline has no identified decision maker engaged -- your 3.2x coverage ratio is masking a qualified-pipeline gap that puts the majority of forecasted revenue at risk."
Lands with any CRO. Same statement for every CRO at every company. Gets you the meeting. So do five competitors.
Level 2: Add Company Archetype. (Scaling Startup)
"You're hiring reps faster than you can qualify pipeline. Every new rep adds $800K in reported pipeline in their first quarter -- but stage definitions don't require buyer validation, so new reps fill coverage with single-contact deals at the exact moment the board is watching unit economics. You don't have a volume problem. You have a substance problem that's accelerating because the thing you're scaling -- headcount -- is the thing producing unvalidated pipeline."
The tension is specific to this company. The causality connects hiring velocity to pipeline degradation. The consequence -- board scrutiny on unit economics -- is something only this CRO loses sleep over.
Level 3: Add Deal Archetype + Blocker Archetype. (Complex Multi-Thread + Budget Guardian)
"Your largest deals -- the $200K+ multi-threads with 5+ stakeholders and 90-day cycles -- are the most exposed. They sit in pipeline longest, inflate coverage most, and are most likely to have an unidentified Budget Guardian in finance redirecting spend. Three of your last five enterprise losses followed the same pattern: rep engaged the operational champion, built consensus at the user level, never identified the CFO's office was running a parallel budget review. Those deals passed every pipeline review because the review checks who the rep engaged -- not who they should have."
The person hearing this does not nod politely. They think of the deal they lost last quarter. They feel the force they already had converge with a diagnosis that names the exact mechanism of failure.
That convergence is the z axis.
The 2x2
| Low Depth (role only) | High Depth (3+ dimensions) | |
|---|---|---|
| No Force | Cold outreach. Gets ignored. | Impressive insight. "Let's talk next quarter." |
| Force Present | You get the meeting. So do five competitors. | The conversation that closes. You are the only one who belongs in the room. |
The bottom-right quadrant produces 30-day enterprise sales cycles where the average is 90. Not because you compressed the timeline -- because the buyer arrived pre-convinced that you understood their problem better than they did.
The Seller's Role in the Force Equation
There is a legitimate debate about whether sellers can create demand or only find it.
Rob Snyder argues demand is not created -- it is discovered: "You're not convincing anyone. You're discovering who already has the project on their to-do list and disqualifying everyone else."^9^ The Challenger Sale, built on a study of 6,000 sales representatives, argues sellers create urgency by reframing the buyer's understanding -- what they call the "Reframe," the moment the buyer says "I never thought of it that way before."^18^ Moesta says the struggling moment is the origin and the seller's job is to be present when it occurs.
The more precise framing: sellers do not create force. They surface it.
The distinction matters because of what recent research reveals about information and decision quality. Gartner found that 89% of B2B buyers encounter high-quality, trustworthy information during their purchase process -- but that the abundance of conflicting high-quality information paralyzes decision-making. Buying groups spend 15% of their total cycle time just reconciling contradictory data.^19^ The problem is not insufficient information. It is unsynthesized information. The seller who helps the buyer make sense of what they already know -- Gartner calls this the "Sense Making" approach -- closes high-quality, low-regret deals 80% of the time.^19^
A CRO whose stage-3 conversion has dropped 18% over three quarters has force acting on them -- but they may not see it yet because nobody has shown them the number in this frame. A VP Sales whose middle 60% has not moved in four quarters has force -- but they have been told it is a coaching problem, not a system problem. The force exists. It is latent. The seller makes it visible.
This is not the artificial tension of "this offer expires Friday." It is helping someone see a force already acting on them -- and understand why their current response is not working.
Three ways sellers interact with the demand equation:
1. Surface force. Show the buyer a pattern they have not seen -- the 18% conversion decline, the 67% single-threaded loss rate. Make the force visible with their own data. Gartner's research found that buyer decision confidence drives 2.6x the likelihood of a high-quality purchase -- and that suppliers can increase that confidence by 3.2x when they identify a specific opportunity for the customer to change their business and combine it with clear steps to get there.^20^ Surfacing force with the buyer's own data does not just inform. It builds the confidence required to act.
2. Name the failed remedy. Show them why the current approach does not address root cause. "More coaching hasn't moved the middle 60% because it's coaching on seller-side behavior, and the gap is on the buyer side." This is not criticism. It is liberation. Research on problem severity thresholds identifies three tiers of urgency: "opportunity for improvement" (lowest urgency), "threat of deterioration" (moderate), and "fear of loss of current position" (highest -- the tier most likely to trigger action).^21^ Naming the failed remedy elevates the buyer's perception from the first tier to the third. The problem is not "we could be better." It is "what we are doing is actively failing and the gap is widening."
3. Expose the limitation of alternatives. Use depth to show why generic solutions miss their specific situation. The limitation must be structural, not feature-based. Not "they don't have feature X." But "their architecture assumes the problem is visibility, and your problem is buyer-side intelligence." When sellers and buyers align on the structural nature of the problem, win rates improve by 38%.^16^
None of these create demand from nothing. All of them accelerate demand that already exists by reducing the friction between latent force and conscious action.
Why "No Decision" Is a Demand Diagnosis
Revenue organizations treat "no decision" as a loss category. It should be treated as a diagnostic category. When a deal ends in no decision, one of four things happened:
1. Force dissipated. The trigger event lost urgency. The board stopped asking. The sales cycle outlasted the force. Ebsta's analysis of over 3 million B2B opportunities found that when deal engagement drops -- even slightly -- win rates fall 47% and sales cycles lengthen by 81%.^22^ Momentum is not a metaphor. It is measurable.
Implication: When force is event-driven, velocity matters more than perfection. The compelling event has a half-life. Every week your sales cycle extends past the triggering event, the probability of no decision increases.
2. The buying group could not agree on the problem. Each stakeholder has a different version of what is broken. The CRO sees a system problem. The VP Sales sees a coaching problem. The CFO sees a cost problem. Without a shared diagnosis, the group cannot align on a solution.^8^ Gartner's 2024 data reveals that buying groups now range from five to sixteen people across as many as four functions.^7^ And here is the critical finding: content tailored for buying group relevance -- helping members understand each other's perspectives -- improves consensus by 20%. But content tailored for individual relevance creates a 59% negative impact on group consensus.^8^ The articulation that wins the champion can fragment the committee.
Implication: The seller who aligns the buying group around a shared problem definition before the evaluation starts has an advantage no competitor can overcome. The diagnosis must work at the group level, not just the individual level.
3. Anxiety exceeded push. Dixon's JOLT research found this is the primary driver: 56% of no-decision outcomes involve a buyer who wanted to move forward but could not overcome the fear of making a wrong choice.^2^ The loss aversion ratio holds: the potential downside of a bad decision feels roughly twice as heavy as the upside of a good one.^3^ In a buying group of ten, that means ten independent loss-aversion calculations running simultaneously. The cumulative anxiety is not additive. It is multiplicative.
Implication: Risk reduction is not a closing tactic. It is a demand condition. Warranties, SLAs, pilot programs, proof-of-concept projects -- these are not concessions. They are force multipliers that offset the anxiety term in the equation.
4. Habit won. The switching cost was not financial but cognitive and organizational. A VP Sales who has spent two years building a coaching methodology around MEDDIC has real sunk costs -- political, intellectual, emotional -- in the current approach. Asking them to replace it is not a product decision. It is an identity decision. The 95/5 reality of B2B markets compounds this: roughly 95% of your addressable market is not in an active buying cycle at any given time.^23^ Most of that 95% is not hostile to your solution. They are simply embedded in their current approach deeply enough that habit exceeds any force currently acting on them.
Implication: Habit is the most underestimated force in enterprise B2B. You do not overcome habit with features. You overcome it with a diagnosis that makes the habit visible as a choice -- and makes the cost of that choice undeniable.
Each no-decision outcome maps to a specific gap in the demand equation. Treating them all as "the deal just died" is like a doctor writing "patient was sick" on every chart.
What This Means for Revenue Leaders
The z axis reframes three questions every CRO and VP Sales asks weekly.
"Why aren't more deals closing?"
Because you measure pipeline by volume and stage, not by demand conditions. A deal with all four conditions present closes at a fundamentally different rate than a deal where the buyer is aware of a problem but has no force acting on them. Your pipeline does not distinguish between these two states. Win rates across enterprise SaaS fell 15% from 2022 to 2023, with average sales cycles lengthening by 32%.^22^ The conventional response -- more pipeline, more activity -- treats the symptom. The demand diagnosis reveals the cause: deals without force entered the pipeline and decayed there.
Start scoring demand conditions on every deal. Not as a replacement for MEDDIC -- as a layer beneath it. MEDDIC tells you the deal is qualified. Demand scoring tells you the deal will close.
"How do we create more urgency?"
You do not create urgency. You find it or you surface it. The 95% of your market that is not actively buying does not need more emails or more SDR sequences.^23^ They need a force to act on them -- and when it does, they need to encounter your diagnosis at the moment they start researching. Given that 81% of buyers choose a preferred vendor before engaging sales,^15^ the window to shape the buying vision is not the first meeting. It is the content, the thought leadership, the problem articulation they encounter during independent research.
Reorient demand generation around trigger events and content that speaks to each demand condition. Content for buyers with force but no diagnosis. Content for buyers who have tried and failed. Content for buyers evaluating alternatives who have not seen the structural limitation. This is the difference between demand capture -- intercepting buyers who already intend to purchase -- and demand creation, which shapes how a buyer frames the problem before they know they need to buy.^24^
"How do we differentiate in competitive evaluations?"
Depth. The competitor who articulates the problem at Level 1 -- generic role-based pain -- will always lose to the competitor who articulates it at Level 3 -- company archetype, deal pattern, blocker type. The buyer experiencing a Level 3 diagnosis does not compare it to Level 1 competitors. They compare it to finally being understood. In a market where buyers engage with 22% fewer vendors than they did a year ago -- averaging just 2.5 vendor conversations -- you do not get five chances to differentiate.^25^ You get one. Depth is the only thing that makes one conversation sufficient.
The three articles in this series build a single system:
| Axis | What It Is | What It Answers | Without It |
|---|---|---|---|
| X -- Precision | 8 vectors | Is the problem well-articulated? | Vague complaints that generate debate, not action |
| Y -- Relevance | Archetype role | Is it framed for this person? | Accurate diagnosis delivered to the wrong audience |
| Z -- Force x Depth | 4 demand conditions x archetype dimensions | Is this person compelled to act, and does the articulation match their specific situation? | Good insight that produces no urgency, or urgency with no differentiation |
The right problem, to the right person, at the right depth, at the right time.
Most GTM organizations optimize the x and y axes -- better messaging, better targeting. The z axis is where the leverage lives. Not because it is more important than precision or relevance, but because it is the dimension that determines whether precision and relevance produce revenue or just produce head nods.
A problem at rest stays at rest. Your job is not to push harder. It is to understand the forces already in motion -- and to meet them with a diagnosis so specific, so dimensionally rich, that the buyer's only rational response is to act.
Endnotes
^1^ Harvard Business Review / Gartner research, cited across multiple B2B sales studies 2020-2025. Range of 40-60% across methodologies and deal types. Gartner's buyer surveys confirm nearly 40% of all B2B buying journeys end without a purchase; Dixon's research puts the no-decision rate at 40-60% of qualified pipeline.
^2^ Matt Dixon and Ted McKenna, The JOLT Effect: How High Performers Overcome Customer Indecision (Portfolio/Penguin, September 2022). Research based on analysis of 2.5 million recorded sales conversations from Zoom, Teams, Webex, and other platforms using automatic speech recognition and machine learning to identify 8,300 unique factors driving sales success and loss.
^3^ Daniel Kahneman and Amos Tversky, "Prospect Theory: An Analysis of Decision under Risk," Econometrica 47, no. 2 (March 1979): 263-291. The most cited paper in the history of Econometrica. Established that losses are psychologically weighted roughly 2x gains, with the loss aversion coefficient typically ranging from 1.5 to 2.5 across studies. Cited in Kahneman's 2002 Nobel Memorial Prize in Economics.
^4^ Columbia University global replication study of prospect theory, confirming a 90% replication rate of Kahneman and Tversky's 1979 findings across countries and cultures.
^5^ Bob Moesta and Greg Engle, Demand-Side Sales 101: Stop Selling and Help Your Customers Make Progress (Lioncrest Publishing, 2020). The "struggling moment" concept as the origin of demand -- the instant when something stops working and the buyer asks "Can I keep doing this?"
^6^ Clayton Christensen and Bob Moesta, Jobs to Be Done framework. The four forces of progress: push of the current situation, pull of the new solution, anxiety of the new solution, habit of the current situation. A switch occurs only when push + pull > anxiety + habit.
^7^ Gartner Sales Survey, 2024 (survey of 632 B2B buyers conducted August-September 2024). Buying groups range from 5-16 people across as many as 4 functions. Enterprise deals can involve 20+ participants.
^8^ Gartner, press release, "Gartner Sales Survey Finds 74% of B2B Buyer Teams Demonstrate 'Unhealthy Conflict' During the Decision Process," May 7, 2025. Buying groups reaching consensus are 2.5x more likely to report a high-quality deal. Content tailored for buying group relevance improves consensus by 20%; content tailored for individual relevance creates a 59% negative impact on consensus.
^9^ Rob Snyder, How to Grow (Substack). "Demand isn't created -- it already exists as an unavoidable project on a buyer's plate." See also "Designing Around Demand" and "What Demand Looks Like."
^10^ MEDDICC research on compelling events. Strong positive correlation (0.8) between deals with a customer-defined compelling event and faster sales cycles / higher win rates. Cited in Andy Whyte and MEDDICC methodology training. The 85% figure -- proportion of deals without an identified compelling event -- from MEDDICC deal analysis benchmarks.
^11^ Gartner, "What Sales Should Know About Modern B2B Buyers." Technology buying teams most motivated when purchases address organization-level strategic goals, with motivation spiking around specific trigger events.
^12^ M&A activity data: 56% of CEOs pursuing M&A in 2025 reported across enterprise sales trigger event research and buying signal platforms.
^13^ 6sense, The B2B Buyer Experience Report (2025). The buying journey shifted from a 70/30 to 60/40 split between independent research and seller engagement. 94% of buying groups ranked preferred vendors before first contact. See also 6sense, The B2B Buyer Experience Report (2024) for the prior 70/30 benchmark.
^14^ Forrester research on B2B buying behavior: the vendor that does the most to shape the prospect's buying vision wins 74% of subsequent purchase decisions. Cited in Forrester's executive buyer studies and confirmed in PropelGrowth analysis of Forrester data.
^15^ 6sense, The B2B Buyer Experience Report (2025). 81% of buyers choose a preferred vendor before speaking with sales; 85% establish purchase requirements before contacting sales; buyers ultimately purchase from their preliminary favorite 77% of the time.
^16^ Corporate Visions, "B2B Buying Behavior in 2026: 57 Stats and Five Hard Truths That Sales Can't Ignore." Average 54.5% misalignment between seller and buyer perception of the core problem. Problem-definition alignment improves win rates by 38%.
^17^ McKinsey & Company research on B2B customer switching behavior. Approximately 70% of B2B customers prefer to maintain existing software and vendor arrangements even when objectively better alternatives exist.
^18^ Matthew Dixon and Brent Adamson, The Challenger Sale: Taking Control of the Customer Conversation (Portfolio/Penguin, 2011). Research across 6,000 sales representatives found that 53% of B2B customer loyalty is driven by the sales experience itself -- specifically, the seller's ability to teach, tailor, and take control. The "Reframe" is the central moment of Commercial Teaching.
^19^ Gartner, "Why B2B Sellers Need a Sense Making Sales Strategy" and related research. 89% of buyers encounter high-quality information that is often conflicting; buying groups spend 15% of cycle time reconciling contradictory data. Sellers using the Sense Making approach close high-quality, low-regret deals 80% of the time.
^20^ Gartner, press release, "Gartner Says Customers Who Are Confident in Their Decision Making Are 2.6 Times More Likely to Buy More," September 19, 2019. Decision confidence drives 2.6x likelihood of high-quality account growth purchase. Suppliers can increase customer decision confidence by 3.2x by identifying a specific opportunity for business change combined with clear steps to achieve it.
^21^ Problem severity threshold research. Three tiers of business problem urgency: "Opportunity for Improvement" (lowest), "Threat of Deterioration of Current Status" (moderate), "Fear of Loss of Current Position" (highest -- most likely to trigger purchasing action). Cited in B2B buying process and decision-trigger literature.
^22^ Ebsta, 2023 B2B Sales Benchmark Report (analysis of 3M+ opportunities). Win rates dropped 15% and sales cycles lengthened 32% compared to 2022. When deal engagement drops, win rates fall 47% and cycles lengthen by 81%. 25% more stakeholders involved in sales processes year-over-year.
^23^ The 95/5 rule in B2B demand: approximately 95% of the target market is not in an active buying cycle at any given time. Originally cited in LinkedIn B2B Institute research by Professor John Dawes of the Ehrenberg-Bass Institute (2021); the remaining 5% represents near-term active buyers. Some analyses use a 97/3 split for enterprise segments with longer buying cycles.
^24^ Demand creation vs. demand capture frameworks. Demand creation shapes how buyers frame problems before active buying begins; demand capture intercepts buyers already in-market. Companies balancing both approaches see 70% higher return over 12-24 months compared to capture-only strategies. See UnboundB2B, Blend B2B, and Kalungi analyses of B2B demand strategy.
^25^ Gartner, "Research Rundown: Trends in the 2025 Software Buyer Journey." Buyers interact with 22% fewer vendors compared to prior year; average vendor engagements dropped from 3.2 to 2.5. 90% of buyers report social proof heavily influences shortlist decisions.