Marknadsföringstrattens död (och vad som ersätter den)
The marketing funnel has been the default model for understanding buyer behavior since 1898. Awareness → Interest → Desire → Action. Top of funnel → Middle of funnel → Bottom of funnel. Visitors → Leads → MQLs → SQLs → Opportunities → Closed-Won.
It's wrong. Not slightly wrong — fundamentally wrong for how B2B buying works in 2026.
B2B buyers don't move linearly through stages. They loop, skip, reverse, and stall. They research for months in channels you can't track. They involve 6-10 people in the decision, each with different information needs and timelines. The funnel model not only fails to describe this behavior — it actively misleads the teams that use it for planning and measurement.
Here's what actually happens and the models that better capture it.
Why the Funnel Model Is Broken
Non-Linear Buying Behavior
A real B2B buying journey looks like this:
- A director reads a LinkedIn post about a problem your product solves (awareness)
- Three months later, she Googles the problem and finds your blog post (research)
- She shares the post with a colleague, who visits your pricing page (consideration)
- The colleague mentions it in a team meeting — two more people start researching (committee expansion)
- One of them evaluates a competitor and returns to your product after reading a third-party review (evaluation loop)
- The original director visits your site again, downloads a case study, and fills out a demo form (intent signal)
- During the demo, procurement raises a security concern, sending the buying committee back to research (regression)
- After a security review, legal review, and budget approval, they sign (decision)
This process takes 3-9 months and involves at least 4 people across 3 departments. At no point does the buyer move smoothly from awareness to interest to desire to action. They loop. They regress. They pause for weeks.
The funnel model can't represent this. It forces a linear narrative onto a non-linear process, causing marketing teams to optimize for stage transitions that don't exist.
The Dark Funnel
Between 60-80% of the B2B buying journey happens in channels that marketing tools can't track:
- Private Slack and Teams conversations
- Word-of-mouth recommendations
- Podcast mentions
- Community forums (Reddit, niche Slack groups, Discord servers)
- In-person conversations at events
- LinkedIn DMs
- Private email threads
When a buyer arrives at your website and fills out a demo form, your attribution system credits the last touchpoint — a Google search, a paid ad click, a direct URL entry. It misses the six months of dark funnel influence that actually drove the decision.
Marketing teams that optimize for funnel metrics end up over-investing in bottom-of-funnel channels (paid search, retargeting) because those channels get the attribution credit, and under-investing in top-of-funnel channels (content, community, brand) that actually drive awareness and consideration in the dark funnel.
Committee Buying
The funnel was designed for individual buyers. B2B purchases involve committees — 6-10 people on average for enterprise deals. Each committee member enters the "funnel" at a different stage, with different information needs, at different times.
The VP of Engineering evaluates technical capabilities. The CFO evaluates cost and ROI. Procurement evaluates risk and compliance. Legal evaluates terms. The end users evaluate usability. These stakeholders don't progress through funnel stages together — they each run their own evaluation process in parallel.
The funnel model can't track or optimize for committee dynamics. It treats the organization as a single entity moving through stages, when in reality it's a collection of individuals with overlapping but distinct evaluation processes.
Alternative Models
The Flywheel (HubSpot Model)
The flywheel replaces the linear funnel with a circular model: attract → engage → delight, where delighted customers become the attract engine through referrals and word-of-mouth.
What it gets right: Customer experience drives growth. Retention and expansion matter as much as acquisition. The model captures the compound effect of happy customers.
What it misses: The flywheel is still sequential within each rotation. It doesn't account for the non-linear dark funnel or committee dynamics. It's a better metaphor than the funnel, but it's still a simplified model.
The Dark Funnel (Chris Walker / Refine Labs Model)
The dark funnel model acknowledges that most buying behavior is invisible to tracking tools. Instead of optimizing for tracked touchpoints, it focuses on creating value in the channels where buyers actually spend time — podcasts, communities, social media — and trusts that brand awareness in these channels will generate demand that eventually surfaces as inbound requests.
What it gets right: The honest assessment that 60-80% of influence is untrackable. The focus on brand and content as demand generation engines rather than just lead capture tools.
What it misses: It's difficult to measure. Executives want numbers, and "trust the dark funnel" is a hard sell in a board meeting. You need a measurement layer that combines self-reported attribution with tracked data.
The Revenue Bow-Tie
The bow-tie model extends the funnel in both directions:
Awareness → Engagement → Conversion → Onboarding → Retention → Expansion → Advocacy
The "waist" of the bow-tie is the conversion point. Everything before it is acquisition. Everything after it is revenue retention and growth.
What it gets right: It treats the post-sale journey as equal to the pre-sale journey. For B2B SaaS companies where net revenue retention drives growth, this model better reflects where value is created.
What it misses: It's still linear. Real customers don't progress smoothly from onboarding to retention to expansion to advocacy.
The Ecosystem Model
The most honest representation of B2B buying: an ecosystem of touchpoints, stakeholders, and influence channels that interact in unpredictable ways. There's no linear path. There's a web of interactions that, in aggregate, increase the probability of a purchase.
What it gets right: It's the most accurate model. Buying decisions emerge from complex interactions, not from progression through stages.
What it misses: It's hard to operationalize. Marketing teams need frameworks for planning and measuring — "it's an ecosystem" doesn't translate into budget allocation or content strategy.
Implications for Marketing Operations
If the funnel is dead, your marketing operations need to adapt:
Content Strategy
Stop mapping content to funnel stages. Instead, create content for:
- Problem-aware audiences — content that names and validates their pain
- Solution-aware audiences — content that explores approaches to solving the pain
- Product-aware audiences — content that shows how your product specifically solves it
- Buying committees — content that addresses the concerns of different stakeholders (technical, financial, legal, operational)
This produces content that serves the non-linear journey. A technical decision-maker might consume solution-aware and product-aware content simultaneously while skipping problem-aware content entirely.
Tool Stack Implications
The marketing ops stack needs tools that support account-level tracking, not just individual lead tracking:
| Funnel Tool | Ecosystem Replacement |
|---|---|
| Lead scoring (individual) | Account scoring (buying group) |
| Last-touch attribution | Self-reported attribution + multi-touch |
| MQL → SQL pipeline | Buying intent signals across account |
| Email nurture sequences | Multi-channel, multi-stakeholder engagement |
| Conversion rate by stage | Pipeline velocity and cycle time |
Measuring Without a Funnel
Self-Reported Attribution
Add "How did you hear about us?" to every high-value conversion form (demo request, contact form, sign-up). Make it a required free-text field, not a dropdown. The responses reveal the dark funnel — podcast mentions, peer recommendations, community conversations — that tracking tools miss.
Combine self-reported data with tracked data for a more complete picture. Self-reported attribution tells you where awareness started. Tracked attribution tells you what accelerated the decision. Both are valuable; neither is complete alone.
Account-Level Metrics
| Metric | What It Measures | Why It Matters |
|---|---|---|
| Engaged accounts | Accounts with 2+ contacts interacting | Buying committees are forming |
| Pipeline velocity | Average time from first touch to closed deal | Speed of the buying process |
| Win rate by source | Close rate segmented by original channel | Which channels produce buyers, not just leads |
| Net revenue retention | Revenue retained + expanded from existing customers | Post-sale health |
| CAC payback period | Months to recover customer acquisition cost | Efficiency of the full acquisition engine |
These metrics don't depend on a linear funnel. They measure outcomes — revenue, velocity, efficiency — regardless of the path that produced them.
FAQ
How do I explain the death of the funnel to my CEO? Don't say "the funnel is dead." Say "we're supplementing our funnel metrics with account-level tracking and self-reported attribution to capture the 60-80% of buying influence that our current model misses." Executives want better measurement, not philosophical debates about marketing models.
Does this mean we stop using funnel stages in our CRM? No. Funnel stages (Lead → MQL → SQL → Opportunity → Closed) are still useful for pipeline management and forecasting. The problem isn't the stages — it's assuming buyers move through them linearly. Keep the stages but add account-level scoring and intent signals that capture non-linear behavior.
How do we budget marketing without a funnel? Allocate budget by capability, not by funnel stage. Content budget for creating value across channels. Distribution budget for putting that content where buyers spend time. Brand budget for building recognition in the dark funnel. Operations budget for measuring all of it. This produces a more balanced allocation than the funnel model, which over-indexes on bottom-of-funnel conversion tactics.
What tools support non-funnel measurement? Account-based platforms (6sense, Demandbase) track buying intent across accounts. Self-reported attribution is free — it's a form field. Multi-touch attribution tools (HockeyStack, Dreamdata) attempt to credit multiple touchpoints. None of them are perfect, but the combination produces a more honest picture than last-click attribution alone.
The funnel was a useful simplification for a simpler buying environment. B2B buying in 2026 is anything but simple. The companies that adapt their measurement, content, and operations to match how buyers actually behave will outperform those clinging to a 128-year-old model. Empirium builds the marketing infrastructure that supports modern B2B buying — from CRM integration to attribution systems. Let's build yours.