Demand creation vs demand capture: why most B2B scale-ups have the ratio wrong

TL;DR

Most B2B scale-ups think they have a demand problem. They don’t. They have a ratio problem.

• 90% of marketing budget goes to demand capture; the evidence says it should be closer to 60% to demand creation.
• 95% of buyers are not in the market right now. Capture-only spend competes inside the 5%, which is why CAC keeps climbing.
• 84% of deals are won by the first vendor a buyer contacts, and 77% of buying groups stick with their preliminary favourite.
• The fix is not killing capture. It is funding a creation engine alongside it and tracking the Demand Ratio quarterly.

Introduction

Walk into any €5M–€50M ARR scale-up in Belgium, the Netherlands, or anywhere in Europe right now and you will find roughly the same setup: 90% of the marketing budget tied to demand capture (paid search, retargeting, intent-based outbound, MQL hunting), and a tiny sliver — if anything — going to demand creation.

The financial consequences of that ratio are bigger than most CMOs realise. And they are getting worse, not better. This article makes the maths explicit and gives you a 90-day rebalancing plan.

The 30-second answer

Demand creation makes people want what you sell. Demand capture turns existing want into pipeline. Both matter. But the ratio in most B2B scale-ups is upside down: roughly 90/10 in favour of capture, when the evidence suggests it should be closer to 60/40 the other way. The reason it is broken: capture is measurable in 30 days, creation pays back in 6–18 months — and most boards reward what shows up next quarter. The cost of staying broken: rising CAC, falling reply rates, and a brand nobody remembers when the buying window finally opens.

If that hits a nerve, keep reading. The numbers below are not an opinion.

The 95:5 rule, restated honestly

In 2021, Professor John Dawes of the Ehrenberg-Bass Institute published a deceptively simple finding: at any given moment, roughly 95% of B2B buyers are not in the market for what you sell. Only 5% are.

Dawes was upfront that the percentages aren’t precise. “The 95% figure is not meant to be a precise rule. We’re using it as a heuristic to get the idea across that the vast majority of businesses, for a large proportion of products, are not in the market in particular time periods.” Source: John Dawes, Ehrenberg-Bass Institute, 2021.

The exact split varies by category, but the structural insight does not: business buyers move themselves into the market based on need and budget cycles, not because a clever ad pushed them there. As Dawes puts it: “Marketers don’t move buyers in-market — buyers move themselves in-market based on their needs.”

This is where the demand creation vs demand capture distinction stops being a marketing-blog debate and starts being a maths problem.

If 95% of your total addressable market isn’t buying right now, then every euro you spend exclusively on the 5% is competing inside a tiny, hyper-priced auction with every other vendor in your category. CAC goes up. Reply rates go down. Your CFO writes “is this still working?” in the margin of next quarter’s review.

The answer to that question: yes, it’s working — for the 5%. It is the other 95% you’re invisible to.

What demand capture actually is (and where most teams over-invest)

Demand capture is the set of activities that intercept buyers who already know they have a problem and are actively researching solutions. It includes:

• Paid search on bottom-of-funnel keywords (“best CRM for Belgian SMBs”, “ERP migration consultant”)
• Retargeting visitors who hit your pricing page
• Outbound to accounts showing intent signals (job changes, funding, tech stack shifts)
• Comparison content (“X vs Y”) and review-site presence (G2, Capterra, Sourceforge)
• SDR sequences targeting handraisers and demo-form fillers

None of this is bad. We at Falora build a chunk of our own pipeline this way and we help our clients do the same. The problem isn’t capture itself. The problem is that capture is the only thing most scale-ups invest in seriously, because capture is the only thing their attribution software shows them clearly.

What demand creation actually is (and why most teams under-invest)

Demand creation is the set of activities that put your brand into a buyer’s memory before they enter the buying window — so that when their need finally surfaces, you are already on their mental shortlist.

In practice, that looks like:

• A founder or operator publishing a strong point of view on LinkedIn 3–5 times a week
• An owned podcast where your ideal customer’s peers tell their stories
• Genuine participation in communities (Slack groups, Reddit, niche LinkedIn communities, Pavilion, Exit Five)
• Long-form content that takes a stance, not a “10 tips” listicle
• Conference talks, guest essays, podcast appearances on shows your buyer already listens to
• Distinctive brand assets — colours, voice, recurring formats — that buyers can recognise instantly

The thing about every item on that list: none of it is reliably trackable in your attribution dashboard. As Chris Walker, founder of GTM consultancy Passetto and former Refine Labs CEO, has been hammering for years: “Marketing teams don’t Create Demand because their attribution models & KPIs don’t incentivize them to do it. And it’s really that simple. Because CREATING DEMAND involves using dark social channels — mainly 3rd party content platforms, social networks, and communities that every B2B buyer uses today — in ways that don’t get measured with attribution software.” Source: BEAM, 2024.

This is the trap. Capture is measurable. Creation isn’t — at least not by software alone. Boards reward measurable. Boards punish “trust me.” So scale-up CMOs do the rational thing: they over-fund capture and under-fund creation. And then they wonder why their CAC keeps creeping up.

The ratio most scale-ups are actually running (and why it is broken)

Walker’s broader claim — that more than 95% of commercial budget at most B2B SaaS companies is allocated to capture — is a useful provocation, even if the exact number varies. In our work with B2B scale-ups across Belgium and the Netherlands, the typical split looks roughly like this:

Now compare that to what the LinkedIn B2B Institute, in collaboration with Les Binet and Peter Field, recommends: roughly 60% to brand building (creation) and 40% to activation (capture) for optimal long-term growth in B2B. As 6sense’s research team put it in their 2026 analysis: “Brand marketing creates demand that didn’t previously exist and ensures you’re discovered during the 60% of the journey buyers spend in the dark funnel.” Source: 6sense, 2026.

So: prescribed 60/40 toward creation. Actual 90/10 toward capture. That is not a small calibration error. That is the wrong direction entirely.

What that ratio actually costs you

Let’s stop arguing about percentages and look at what the broken ratio is doing to scale-ups in practice.

1. The vendor selected before sales gets a call. 6sense’s 2025 Buyer Experience Report, based on more than 4,000 buyers globally, found that 84% of deals are won by the first vendor a buyer contacts. The report notes: “This indicates that buyers have usually picked a winner and are merely conducting due diligence when speaking with other vendors.” Source: 6sense, 2025.

Even more sobering: 94% of buying groups had ranked their preferred vendors before making first contact — and the preliminary favourite ultimately won 77% of the time. If your brand isn’t on that pre-shortlist, you’re not losing the deal in discovery. You lost it months ago, when the buyer was reading, listening, scrolling — and you weren’t there.

2. The dark funnel keeps eating your attribution. 6sense has tracked it for years: roughly 70% of the B2B buyer journey happens anonymously, before any vendor contact. In the most recent 2025 report, the point of first contact has moved up slightly to ~60% (driven mostly by AI-related uncertainty pulling buyers to vendors earlier for validation), but the principle holds: most of the journey is invisible. The implication: if you only measure what your software can track, you are literally measuring the smallest part of the buying process. And then making budget decisions based on it.

3. CAC keeps creeping up. Performance marketing in B2B has gotten more expensive every year for the last five. Click costs on bottom-funnel keywords like “best CRM” or “ABM platform” have roughly doubled since 2020. When everyone in your category is bidding on the same 5%, the only thing that goes up is the auction price.

4. Buyers actively avoid suppliers who can’t read the room. Gartner’s 2025 sales survey of 632 B2B buyers found that 73% actively avoid suppliers who send irrelevant outreach. Three quarters of your addressable market will close the door if you knock at the wrong time with the wrong message — and untargeted volume capture is the fastest way to knock wrong.

5. The agency dependency. Many scale-ups outsource creation to agencies who promise “thought leadership content.” This usually produces ghost-written LinkedIn posts that read like they were ghost-written and a podcast nobody at the company listens to. Demand creation that gets outsourced rarely sounds like a human being with a strong opinion. And LLMs and buyers can both tell.

The counter-argument, taken seriously

To be fair, there is a real critique of the pure “creation > capture” thesis worth engaging with.

Kyle Poyar (formerly OpenView, now Tremont) has pointed out repeatedly that for early-stage B2B SaaS — particularly bootstrapped or seed-stage companies with 10 customers and a runway counted in months — pure brand-building is a luxury. You need closed-won this quarter. That’s a fair critique. Pre-product-market-fit, capture should dominate.

Sangram Vajre and the GTM Partners team argue that the “GTM Operating System” view is more nuanced than a creation-vs-capture binary: there are multiple plays running in parallel, and the right mix depends on stage, ICP, and product motion.

6sense’s Kerry Cunningham has gently pushed back on the most extreme version of the dark-social-eats-everything narrative, noting that traditional capture channels still drive substantial pipeline — they just aren’t the whole picture.

We agree with all of these caveats. The honest framing is not “creation good, capture bad.” It is: the right ratio depends on stage, but virtually every scale-up we work with is over-indexed on capture relative to where they actually are. A €15M ARR Series B SaaS company with 200+ customers running 90/10 capture-heavy is not optimising — they are under-investing in the engine that compounds.

A framework: the Falora Demand Ratio

Here is a diagnostic we use with scale-ups before any rebuild. We call it the Demand Ratio: the percentage of your last 12 months of pipeline that came from demand creation activities versus demand capture activities.

Step 1 — categorise your pipeline sources from the last 12 months into two buckets:

Creation-sourced pipeline:

• Inbound that filled out a form citing “I follow your founder on LinkedIn / I listen to your podcast / I read your essays”
• Self-reported attribution from won deals (“how did you hear about us”)
• Word-of-mouth referrals
• Inbound demo requests with no traceable last-click attribution
• Branded search (someone Googling your company name directly)

Capture-sourced pipeline:

• Paid search on category keywords
• Retargeting-attributed conversions
• Outbound from cold lists
• Intent-data-triggered outbound
• Review-site referrals (G2, Capterra)
• “Compare X vs Y” pages

Step 2 — calculate the ratio. Most scale-ups we run this exercise with land somewhere between 5/95 and 20/80 (creation/capture). The benchmark we encourage them to push toward over 18 months: 40/60 minimum, ideally 50/50.

Step 3 — track it quarterly. Not because the number is sacred, but because the direction of travel matters. If your Demand Ratio is moving toward more creation-sourced pipeline year-over-year, you are building compounding equity. If it is static or moving the other way, your CAC is going to keep climbing.

Step 4 — be honest about self-reported attribution. Add a “How did you hear about us?” field to your demo form, your discovery call script, and your win/loss interviews. The data is messy and biased, but it’s a meaningful signal that no UTM tracker will ever capture. As Chris Walker advocates: automate self-reported attribution in Salesforce, have sales reps ask on first call, use conversation intelligence tags to capture it consistently.

A 90-day rebalancing plan

If you’ve read this far and your Demand Ratio is south of 20/80, here is a concrete sequence we use with scale-ups starting tomorrow.

Days 1–14: Diagnose. Run the Demand Ratio calculation on your last 12 months. Add the self-reported attribution field to all inbound forms and discovery calls. Pull win/loss data and tag every deal with its earliest creation touchpoint, even if your CRM didn’t capture it (you’ll have to ask).

Days 15–45: Pick one creation channel and commit to it for 6 months. Don’t try to do all five at once. Pick one — usually founder-led LinkedIn, an owned podcast, or a series of PoV essays — and resource it like it matters. One person, named, accountable. Three to five outputs a week minimum. No agency. The voice has to be human and yours.

Days 30–60: Don’t kill capture, audit it. Look at your capture spend by channel and find the bottom 30% by cost-per-pipeline-euro. Cut those. Reallocate half the saved budget into creation, the other half into your two best-performing capture channels. Most scale-ups find €50K–€150K of waste in their first audit.

Days 60–90: Build measurement that respects creation. Stop expecting your attribution software to credit creation channels — it can’t and won’t. Instead build a hybrid scorecard:

• Capture metrics: software-attributed pipeline, MQLs, meeting volume, CAC
• Creation metrics: branded search volume (Google Trends), podcast download rate, LinkedIn impressions on founder content, share of voice in your category, self-reported attribution share, win rate when buyer mentions a creation touchpoint

Review them in the same meeting. Make trade-offs based on both.

Day 90: Re-run the Demand Ratio. You won’t have moved it dramatically in 90 days — creation compounds slowly. But you should see directional shift in the leading indicators (branded search, content engagement, self-reported attribution). If you don’t, your creation execution is the problem, not the strategy.

The European angle: why this matters more here

A specifically European complication. B2B sales cycles in Belgium and the Netherlands are long, and decision-making units are wide. 6sense’s 2024 European research found Belgian sales cycles average around 11.5 months with a DMU of 11.3 stakeholders — meaningfully larger than the Dutch (~7.9 months / 7.6 DMU) or US averages.

What does that mean? It means buyers in this region spend even more of their journey in the dark funnel before talking to a vendor. A company whose brand is invisible to 11 stakeholders for 11 months will lose to a company whose brand has been showing up in 3 of those stakeholders’ LinkedIn feeds for 11 months. The ratio matters more here, not less.

Add the EU AI Act layer (Article 50 transparency obligations from August 2026; AI literacy duty already in force since February 2025) and the cost of pure capture rises further: AI-driven outbound at scale is becoming a regulatory and reputational risk in a way that owned content with a real human voice simply isn’t.

What this means if you are a CMO or Head of Growth right now

If your board is leaning on you for next-quarter pipeline: don’t blow up your capture motion. We are not advocating for that. The capture engine pays the bills.

But if you are not actively building a creation engine alongside it — funded, named, protected — you are choosing future CAC inflation. The 5% who are in-market today will be choosing between vendors they remember from the last 12 months. If you weren’t there, you are not in the consideration set. And as 6sense’s data shows, 77% of the time, the buyer’s preliminary favourite wins.

The math is brutal in one direction: the longer you stay 90/10 capture, the more expensive every quarter gets. The math is forgiving in the other direction: every euro you redirect to creation today buys you cheaper pipeline 12 months from now. And every quarter you delay is a quarter your competitors are building memory you’ll have to outbid later.

Pick one creation channel. Commit for six months. Watch the ratio shift.

That’s it. That’s the playbook.

Conclusion

Falora.ai builds autonomous GTM software for B2B scale-ups that have stopped pretending capture-only growth is sustainable. Born out of Stretch Innovation’s 18+ scale-up GTM rebuilds across the Benelux. Book a 30-minute GTM diagnostic with Stijn →

Sources

• John Dawes, Ehrenberg-Bass Institute — The 95:5 Rule
• LinkedIn B2B Institute — The 95-5 Rule research with Ehrenberg-Bass
• 6sense — 2025 Buyer Experience Report
• 6sense — How GenAI and LLMs are changing B2B buyer research
• Chris Walker — Public posts and interviews via BEAM
• Gartner — Sales Survey on B2B Buyer Outreach Preferences
• Kyle Poyar — Growth Unhinged
• Les Binet & Peter Field — The Long and the Short of It (LinkedIn B2B Institute)

Related reading on Falora

• GTM engineering vs growth marketing
• The Autonomous GTM Maturity Model
• The outbound agency cost autopsy

About the author

Stijn Van Daele is co-founder of Falora and a partner at Stretch Innovation. Over the last 6 years he and his team helped more than 200 companies with building a growth engine that really scaled their company. He writes about GTM engineering, autonomous revenue and the EU AI Act on LinkedIn.