THE PLANE BENEATH

What's Actually Determining B2B Software's Next Decade

You are running two versions of your company at once.

There’s the company your team believes in — the one you built, the one whose conviction you can still feel when you sit in a room with the people closest to the work. And there’s the company your buyers and customers actually experience — the one transmitted through your sales motion, your marketing, your customer success, your AI-orchestrated touchpoints.

The gap between these two versions is what’s now determining your future.

This gap doesn’t appear on your dashboards. Your ARR, NRR, pipeline coverage, customer health scores aggregate across the gap and tell you the company is performing. The market sees it differently. Public B2B software multiples have compressed from 16.9x to 3.8x over three years. Within every category, companies with similar metrics are trading at three or four times each other’s multiples. Standard explanations — macro shift, AI disruption, sector rotation, capital cost — describe contributing factors. None of them adequately accounts for the within-category dispersion.

The dispersion is the visible signal of something happening at a different level than the frameworks operate on.

Here’s what I think is happening.

The Reframe

Two planes operate simultaneously in any commercial relationship.

The Activity Plane is what your institution does. Sales motion, marketing campaigns, customer success programmes, outbound sequences. This is what your dashboards measure, what your playbooks describe, what your investors review. Bessemer, Tunguz, Lemkin, OpenView, MEDDIC, Challenger — all operate at the Activity Plane. They describe real phenomena, well.

The Plane Beneath is what humans can actually absorb, process, commit to, authorise. The cognitive ground that determines whether your activity lands or bounces. You’ve experienced this directly. The campaign that worked perfectly two years ago and barely lands today. The pitch that converted at high rates in 2022 and produces silence in 2026. The outreach sequence executed identically against similar buyers in similar circumstances, producing different outcomes for reasons your dashboards can’t show. The activity didn’t change. What it landed in did.

Revenue, properly understood, is the financial expression of a cognitive event in the buyer — a process that completes naturally when conditions support it, or fails when those conditions are absent. The Activity Plane is what institutions do. The Plane Beneath is where revenue actually forms.

Until recently, the two planes were aligned. Activity-plane execution reliably produced predictable outcomes because the substrate it landed in was receptive. Over the past decade, the alignment ended. Three forces converged.

Sales engagement platforms automated outreach across millions of buyers simultaneously. Marketing automation scored behaviour buyers didn’t know was being watched. Customer success software treated relationships as workflows. AI made personalisation infinitely scalable. What had been episodic manipulation became infrastructural — a systematic violation of cognitive sovereignty crossing a threshold around 2015.

People developed vocabulary for what was being done to them. Attention as a resource. Data extraction as extraction. Burnout as identity colonisation. By the late 2010s, ordinary people had names for the patterns they were experiencing.

Consequences became personal. The cognitive depletion was visible in their own lives — the exhaustion, the inability to focus, the felt loss of unmonitored thinking time, the sense of being targets across every digital surface.

The three forces converged. The Plane Beneath became visible to the people living on it. Once visible, defendable. Once defended, the baseline shifted. People who can see what’s happening to their attention, their deliberation, their authority over their own experience don’t go back to not seeing it. The shift doesn’t reverse on any timeframe relevant to commercial planning.

Your frameworks were built before this moment. They describe what they describe at the Activity Plane. They cannot detect the Plane Beneath because the plane wasn’t operationally consequential when the frameworks were built.

What follows are three structural conditions that determine commercial reality. Each is how the substrate change expresses commercially. Each is what happens when activity-plane execution lands in a substrate that has built defences. Each contradicts something executives currently operate by. Together they describe what’s actually broken before we examine what the response requires.

The Structural Trap

Your GTM machinery cannot stop without flatlining current revenue. It cannot continue indefinitely without compounding fragility. This is a structural condition, not a strategic question.

The machinery you built during 2015-2024 was rational under prior conditions. Cheap capital made volume affordable. Buyers and employees had not yet built defences. The machinery worked.

Conditions ended. Capital became expensive. The defences formed. The machinery still runs but every dollar of investment now yields less pipeline, lower conversion, slower deals, more expensive customers, lower lifetime value than the equivalent dollar produced three years ago. The trajectory is consistently negative.

The machinery still produces current revenue. Stopping outbound stops new pipeline. Stopping advocacy programmes loses what manufactured advocacy still produces. Stopping customer success orchestration accelerates churn currently being deferred.

You cannot stop without flatlining. You cannot continue without compounding fragility. Both true simultaneously. There is no clean exit through optimisation.

Recognition is itself the first move. Most companies your size cannot see what you’re now seeing. They’re inside the same trap, executing strategic initiatives that don’t address the actual condition, optimising machinery that’s compounding fragility while reporting growth that masks deteriorating composition. The companies whose CEOs recognise the trap early have substantially more options than the companies whose CEOs recognise it late or never. Where you sit reading this matters.

Most current strategic discourse frames the moment as a choice between alternatives — should we update the playbook, invest in AI, pivot positioning, restructure GTM. These aren’t the actual questions. The actual question is how to manage a structural trap while rebuilding capacity to operate differently.

Companies that don’t recognise the trap will execute strategic initiatives that don’t address the actual condition, then experience compounding deterioration that strategic initiatives cannot reverse, then face crisis-conditions rebuild with fewer degrees of freedom and less capital than would have been available with earlier recognition.

The Observer Effect

The harder you try to engineer customer advocacy, the more reliably you trigger the response that destroys it. The harder you try to manufacture conviction, the more reliably you trigger reactance. Your best-orchestrated customer success programmes, your most sophisticated advocacy initiatives, your tightest champion-development playbooks may now be actively destroying what they’re designed to create.

The structure prevents the outcome. Not the execution.

Customer state — genuine commitment, unprompted advocacy, willingness to defend your relationship under pressure — has a specific cognitive signature. It forms when buyers complete their own cognitive process toward conviction. They became aware on their own terms. Framed the problem in their own language. Explored solutions through their own deliberation. Formed conviction through their own evaluation. Committed because their own process arrived at commitment.

Over the past decade, institutions learned to observe behavioural signatures of state-positive customers and tried to engineer those behaviours directly. Manufactured advocacy programmes. Orchestrated reference processes. Champion development methodologies. Each designed to produce the behaviour that state-positive customers display.

You can see this play out concretely. The AE trained to handle every objection with a smooth response. The customer success motion that triggers automated check-ins at predetermined intervals. The reference customer prepped on which features to mention. These are Moments of Truth — touchpoints where what your institution actually is meets what your buyers are experiencing. Each Moment of Truth either transmits genuine state or transmits performed engagement. Adapted buyers detect the difference within seconds. The Moments of Truth that matter most are the ones under pressure — the difficult question, the missed delivery, the unexpected request, the moment when the script doesn’t fit. Manufactured engagement breaks at these points.

The pattern is consistent with what reactance theory predicts at scale but extends beyond what’s been formally measured. I’d flag this as theoretical synthesis rather than established research.

Your dashboards may be systematically misreading which customers are actually committed. Customer health metrics measure behavioural compliance with vendor effort. State is a different variable. Under stable conditions, behaviour and state diverge invisibly — manufactured customers and earned customers produce similar behavioural signatures. Under pressure, the difference becomes consequential.

Call this Zombie ARR — recurring revenue from customers who score perfectly on health metrics but are defending an inconvenience cognitively rather than committing to you. Status-quo-bias-defended, not state-positive. My estimate is this represents 20-45% of differentiation-strategy B2B software ARR, but this is estimated from observation, not measured directly. The dynamic is real and observable. The proportion is informed guess.

The deeper architectural shift required is buyer-centric. Most current commercial machinery is built on the assumption that vendor effort drives buyer behaviour through a vendor-controlled pipeline. Adapted buyers operate differently. They want to evaluate on their own terms, in their own timing, with unmediated access to substance — real pricing, honest comparisons, actual customer experience. Roughly 80% of buyer evaluation now happens before vendor contact, and adapted buyers actively defend that pre-contact territory.

The most uncomfortable implication, if the pattern holds: the most successful customer-facing organisations of the prior decade — the ones with the most sophisticated machinery, the cleanest orchestration — may be the ones most exposed. Their excellence in execution may have been systematically destroying the state they were trying to produce.

The Internal Coherence Ceiling

Your customers’ commitment cannot exceed your team’s commitment. Their conviction cannot exceed your team’s conviction. Their advocacy cannot exceed your team’s identity-level investment in the work.

The customer-facing organisation operates as a transmission system. What founders carry isn’t strategy or positioning. It’s DNA — the integrated belief about why the work matters, what it does for whom, why this institution rather than another. DNA produces Source — genuine conviction, integrated identity, authentic care for the customer’s outcome. Source originates with founders because they’re closest to the DNA.

Each translation through organisational layers strips meaning. At the layer where translation breaks down — typically two or three layers below the founder, though this varies by organisation — Source becomes Messaging. Below that layer, customer state cannot exceed what’s internally coherent.

Most companies operate with internal coherence ceilings their customer programmes cannot break through, regardless of programme quality.

This shows up specifically in how customers describe their experience. The mid-market software CEO confident in their company’s positioning whose AEs sound generic in discovery calls. The enterprise vendor whose website articulates a sharp value proposition but whose CSMs read from scripts that could belong to any vendor in the category. The gap between Source and Messaging is what sophisticated buyers detect within seconds. The detection operates below conscious deliberation, through what’s called implicit processing — the brain’s capacity to register pattern mismatches before the conscious mind articulates what it’s seeing. The signals are subtle — tone, response to challenging questions, willingness to acknowledge limitations, capacity to engage with the customer’s actual situation rather than running scripted moves. Buyers can’t always articulate how they’re doing this. They’re doing it constantly.

Translation Loss happens predictably. Founders carry Source as identity. Direct reports often carry it as belief — strong, but one translation removed. The next layer typically carries it as messaging — accurate to the words but stripped of underlying conviction. Below that, messaging becomes increasingly schematic, then performance, then execution-without-meaning.

This connects to a deeper structural shift in how revenue actually forms. The conventional revenue cycle — awareness, interest, evaluation, decision, purchase, onboarding, renewal — is a vendor-side process map describing the stages vendors want buyers to move through. It bears decreasing resemblance to how adapted buyers actually decide.

Buyers don’t move through your funnel. They have their own cognitive process — recognising a problem, framing it, exploring possibilities, forming conviction, committing — and your pipeline either supports that process or fights it. Most current pipelines fight it. They’re calibrated to vendor metrics (MQLs, SQLs, opportunity stages, close dates) that don’t map to buyer cognition.

Identity-bearing roles cannot be contingent without capping the ceiling. AEs, core product leaders, customer-facing executives, founder-mode operators — these roles require identity-level investment. Contracting them out, fractionalising them, treating them as expertise-bearing rather than identity-bearing collapses the transmission. Many companies have done this for cost optimisation reasons, often without recognising they were lowering their internal coherence ceiling.

The CEO is the architect of this ceiling. The internal coherence question — how does DNA originate, how does Source translate through layers, where does it break down — is a CEO-level question that cannot be delegated to HR or solved with culture initiatives. It is structural to how the company operates.

Customer experience is a transmission of internal state, not an externally engineered function. Playbooks cannot exceed what’s internally available to transmit.

The most uncomfortable implication: customer experience initiatives that don’t first solve for internal coherence are pushing on a string. Many companies investing heavily in customer experience are getting limited return because their internal coherence ceiling caps what’s possible.

AI as Diagnostic

A specific note on AI before moving to the response. Gartner is forecasting that by 2028, AI agents will outnumber sellers 10 to 1, while fewer than 40% of sellers will report those agents actually improved their productivity. The standard interpretation is that AI handles velocity but the last mile remains human. The deeper interpretation is that AI deployed in vendor machinery is structurally undermining the conditions for the human work to succeed.

The customers churning to AI alternatives weren’t, on the evidence I’ve seen, primarily stolen by AI. They were latent-no customers — buyers whose actual answer was always ‘no’ but who hadn’t yet been forced to make the decision because the cognitive cost of switching exceeded the cognitive cost of continuing. AI lowered the cost of arriving at the decision. The decision was already there.

Your AI deployment in machinery is making the trap worse, not better. Every dollar spent on AI sales tools trains your buyers’ filters faster. AI in machinery is the accelerant. AI in product capability or buyer-side tools operates differently because it doesn’t trigger the institutional manipulation pattern.

The strategic question shifts. What is AI revealing about what we built becomes more useful than what’s our AI strategy.

What This Requires Operationally

The diagnostic is uncomfortable. The response isn’t methodology — there’s no playbook for the structural rebuild. What it requires is operating discipline that runs across multiple years, holding two horizons consciously.

The operating model is dual-track. The full discipline is still developing — companies are working it out as they go — but the core principle is clear: managed-decline of the existing machinery while resources progressively shift to rebuild work.

Capital allocation splits. Some percentage continues funding the machinery to maintain current revenue. Some percentage funds rebuild work — internal coherence, identity-bearing role investment, condition-creation infrastructure. Early rebuild requires substantial investment with delayed returns. Later, machinery decline accelerates while rebuild compounds.

Talent allocation splits. Identity-bearing roles get protected and expanded. Manufacturing roles get gradually reduced. The leaders who built the machinery often cannot lead the rebuild — their identity is invested in the machinery’s success. Some can recalibrate. Many cannot. The honest assessment of who can do what becomes a primary executive responsibility.

Metrics split. Activity Plane metrics continue tracking machinery performance. Plane Beneath signals — language migration, unprompted advocacy, customer-initiated conversations, employee tenure in identity-bearing roles, founder operational presence — become leading indicators of rebuild progress. These are imperfect proxies. Better instruments may emerge but don’t yet exist.

The architectural response is buyer-centric. Build for buyer self-direction rather than vendor-controlled engagement. The website optimised for buyer evaluation rather than lead capture. The pricing page that’s actually informative rather than gated. The demo environment the buyer drives themselves. The reference customers whose conversations don’t run through your team. The procurement experience designed for the buyer’s actual procurement process. Pipeline restructured around buyer cognition — the buyer framing a problem needs substantive thinking rather than a sales call, the buyer exploring possibilities needs genuine information rather than a discovery process, the buyer forming conviction needs conditions that allow conviction to form rather than persuasion. Each of these is operational architecture supporting buyer agency rather than circumventing it.

Customer success transforms from orchestration to condition-creation — creating conditions under which buyers complete their own cognitive process toward genuine conviction. Advocacy programmes get reduced or restructured because the current logic actively triggers the detection that prevents genuine advocacy. Better logic shifts toward making advocacy easy for those who already feel it.

The role of community and peer infrastructure becomes primary. Substantive trust forms in peer networks — founder communities, dark social, anonymous Slack groups, vertical-specific peer infrastructure — that institutions cannot easily participate in without dissolving them. Vendor strategy needs to support peer infrastructure rather than try to capture or substitute for it. The companies still building vendor-controlled “community” programmes appear to be wasting investment.

Hiring filters change. Selection criteria become whether candidates can carry Source, not just execute against the playbook. This is harder to assess. The talent market dynamic compounds the problem — extraction-mode operators have spent careers developing skills the work needs to move away from.

Compensation structures change. Current logic assumes the work is expertise-bearing. For identity-bearing work, retention through identity-level engagement matters more than monetary compensation alone.

Organisational structure changes. The number of layers between founder and customer becomes a primary commercial variable. Each layer is potential Translation Loss.

The role of marketing as a function shifts fundamentally. Demand generation as currently practised is built for a population that no longer exists as the function assumes. Marketing’s role moves toward substance creation — making real thinking available, supporting buyer self-direction, producing material that helps buyers frame their own problems. This is closer to publishing than to demand generation.

What institutions can also do is design for Anomalous Experience — moments where the institution behaves in ways adapted buyers don’t expect, that don’t fit the manipulation pattern, that signal genuine commitment rather than performed care. Anomalous Experience cannot be programmed. Programming it would produce theatre that adapted buyers detect immediately. It can be enabled by institutional architecture that supports it. The AE who tells the buyer the product isn’t right for them. The CSM who flags a problem the customer hasn’t noticed. The pricing change that reduces what existing customers pay because the value formula has improved. The honest acknowledgment of a feature gap rather than a workaround pitch. These emerge from institutional architecture that gives identity-bearing operators the latitude, support, and identity-level investment to do the right thing in the moment of truth. Where DNA reaches Source reaches Moments of Truth without Translation Loss collapsing the chain.

The first 90 days of dual-track operation aren’t the rebuild. The first 90 days are honest assessment. Which roles in your organisation are actually identity-bearing versus expertise-bearing — most companies haven’t distinguished. Where conviction starts to thin out as it travels down through your organisational layers — you can probably name the layer if you sit with it. Which 30-40% of your customer base would not actively re-decide for you if forced — your CSMs and AEs probably know but haven’t been asked. The rebuild needs this assessment as foundation. The rebuild is multi-year. The assessment is doable now.

The companies producing genuine signal are the ones whose dispersion is moving upward. Investors, like buyers and employees, have built defences and recognise when institutions still trip those defences. The signals are pre-rational. They land before analysis.

What This Means for Capital Allocation

ARR is volume. What determines durability is composition. Manufactured revenue and earned revenue look identical on financial statements and behave entirely differently over time. Standard accounting cannot distinguish them. Standard metrics aggregate across the difference. Your forecasts, M&A pricing, IPO timing, hiring scale, strategic decisions are being made on numbers that may systematically misrepresent the variable that actually matters.

Call this Formation Quality — the variable composition expresses. The methodology to measure Formation Quality directly doesn’t exist yet. Reichheld’s Earned Growth Rate at Bain is the closest existing work — measuring growth from earned advocacy specifically. It’s a useful proxy at the outcome layer but doesn’t measure formation across the full cognitive process. The full methodology — measuring formation across the entire cognitive process — remains to be developed.

Proxies exist. Customer language migration. Unprompted advocacy patterns. Employee tenure in identity-bearing roles. Founder operational presence. Community engagement vendors cannot manufacture. These proxies appear to correlate with Formation Quality, though the correlation strength isn’t yet measured. Sophisticated investors are starting to use them.

The dispersion in valuations is the market beginning to price Formation Quality through these proxies. Companies whose proxies suggest higher earned-dollar composition trade at higher multiples than peers whose proxies suggest higher manufactured-dollar composition. The dispersion will likely widen as analytical capacity matures.

Your capital allocation decisions are being made on incomplete information in a structurally invisible way. The decisions appear sound based on the metrics available. The metrics aggregate across the variable that matters. The decisions produce outcomes that strategic post-mortems struggle to explain because the diagnostic frameworks are calibrated to the same incomplete metrics that produced the decisions.

Companies that develop the analytical capacity to assess Formation Quality before the market does should compound through the next decade. Companies that continue running on volume metrics will be repriced as the market’s analytical capacity catches up.

What’s empirically observable now: the within-category dispersion of three or four times among similar metrics is real. Companies whose execution somehow produced higher earned-dollar composition — sometimes by accident of founder presence, sometimes by virtue of being too small or too new to industrialise extraction — are compounding through the pressure. Companies whose execution optimised for manufactured-dollar production are being repriced.

Capital allocation that ignores Formation Quality is allocation made on the wrong number.

The Board and Governance Question

The work this requires runs into a specific political problem most strategic discourse doesn’t acknowledge. Capital allocation isn’t made in a vacuum. Boards approve it. Investors expect specific patterns. Governance shapes what’s possible.

Boards are calibrated to manufactured-growth metrics. The reporting they receive, the questions they ask, the accountability frameworks they operate, the success criteria they evaluate against — all reflect the prior regime. A CEO trying to run dual-track operation faces boards that may read declining Activity Plane metrics as execution failure, not as managed transition.

Part of the work is changing the board. Recalibrating board reporting to include Formation Quality proxies. Educating board members on the structural shift. Sometimes replacing board members whose mental models cannot accommodate the work. Sometimes finding capital sources that permit longer time horizons.

Investor base recalibration follows. Some current investor relationships will not survive the work because the investors are committed to manufactured-growth narratives that the work explicitly rejects. New capital sources that understand structural rebuild become necessary. This is itself multi-year work.

Some companies cannot do this work because their political conditions don’t allow it. Board configuration prevents it. Investor base demands the opposite. The CEO doesn’t have the political capital. These companies will be repriced. The CEO’s job in those circumstances is honest acknowledgment that the structural rebuild isn’t available, and managing the resulting decline as gracefully as possible.

Companies that can do the work share specific characteristics — founder-CEOs with strong board relationships, patient capital, investors who understand the structural shift, leadership teams prepared to recalibrate together rather than fragmenting under pressure. These conditions are rare. They’re the precondition for the work, not the result of it.

What’s at Stake

The window for graceful adaptation is open and narrowing.

The structural shift in the Plane Beneath, on the evidence available, doesn’t reverse within commercially relevant timeframes. The defences buyers and employees have built are durable. The market will continue pricing the gap between what current frameworks measure and what now determines durability.

Companies that recognise the Plane Beneath and rebuild structurally will compound through the next decade. Companies that continue optimising the Activity Plane will be repriced as the market catches up. The dispersion will be the empirical record of who saw this in time.

The work is harder than current frameworks suggest. The Manufacturing Trap is structural. The Observer Effect protects the state you’re trying to produce from the manufacturing producing it. The Internal Coherence Ceiling caps what your customer programmes can achieve. These are conditions to manage through structural rebuild, not problems to solve through optimisation.

The rebuild requires what most institutional architecture is not currently configured to provide. DNA clarity that produces Source. Internal coherence holding through organisational layers. Identity-bearing roles treated as identity-bearing. Buyer-centric architecture supporting cognitive process. Pipeline following buyer cognition rather than vendor process. Anomalous Experience as design target. Operations, leadership, governance moving simultaneously rather than sequentially.

Most companies will not do this work. The reasons are structural — political conditions, leadership configuration, investor base, the difficulty of timelines, the absence of metrics that justify the work.

The few who will are the names you’ll be reading about in the case studies in five years.

The dispersion is the market beginning to tell you which of your two versions is actually winning. The internal version your team believes in. Or the external version your buyers and customers experience. The work is closing the gap.

Where you sit in the dispersion now signals where your forward trajectory points.

You can lead this. Or you can be part of the data that tests it.