The Modern Sales Funnel Is Not Linear. Build It That Way.

The modern sales funnel describes how a prospective buyer moves from initial awareness of a product or service through to purchase and, ideally, repeat purchase. What distinguishes it from older funnel models is the acknowledgement that this path is rarely straight, rarely predictable, and increasingly driven by buyer behaviour rather than seller process.

Most businesses still run funnels designed for a world that no longer exists. The fix is not a new framework. It is a more honest reading of how buyers actually behave, and an operation built around that reality.

Why the Classic Funnel Model No Longer Holds

The original sales funnel, in various forms, has been around since the late nineteenth century. It was built on a simple premise: the seller controls the flow of information, and the buyer moves through predictable stages as that information is released. Awareness, interest, desire, action. Neat, sequential, manageable.

That premise collapsed when buyers gained access to information the seller did not control. Search engines, review platforms, peer communities, social proof at scale. By the time a prospect contacts your sales team, they have often already formed a strong view. They have read your competitors’ case studies. They have seen a thread on Reddit pulling apart your pricing model. They have watched three of your webinars without ever filling in a form.

I spent a significant portion of my earlier career focused almost entirely on the bottom of the funnel. Paid search, retargeting, conversion rate optimisation. The attribution numbers looked excellent. Every quarter, the performance dashboards told a compelling story. What I eventually had to confront was that a meaningful share of what we were crediting to those lower-funnel channels was going to happen anyway. We were capturing intent that already existed. We were not creating it. The business was growing, but not because of what the attribution model was telling us. It was growing because brand work done years earlier, and word of mouth we had never measured, had built a pipeline of people who were already predisposed to buy.

That realisation fundamentally changed how I think about funnel architecture. If you want to understand the full picture of how sales enablement fits into this, the broader Sales Enablement and Alignment hub covers the operational and strategic dimensions in depth.

What the Modern Funnel Actually Looks Like

Modern funnel thinking does not abandon the concept of stages. It reframes them around buyer behaviour rather than seller process. The stages that matter are roughly these: problem awareness, solution awareness, consideration, decision, and post-purchase. But the movement between them is not linear, and it is not seller-driven.

A buyer might enter at problem awareness, drop out for six months, re-enter at consideration because a colleague mentioned your brand, and then loop back to solution awareness when a competitor releases a new product that reframes the category. Your funnel has to account for re-entry, for parallel tracks, and for the reality that different buyers in the same organisation can be at completely different stages simultaneously.

This is where the difference between a SaaS sales funnel and a traditional product or services funnel becomes instructive. In SaaS, the funnel rarely ends at purchase. The real commercial moment is often renewal, expansion, or referral. The post-purchase stage is not a nice-to-have addendum. It is where the unit economics of the business are determined. A funnel that treats the sale as the finish line is leaving the most valuable part of the customer relationship unmanaged.

The same logic applies, in different ways, across sectors. In complex B2B environments, the funnel has to account for multiple decision-makers, long sales cycles, and procurement processes that can override commercial preference. In manufacturing, where relationships and technical credibility drive decisions, the funnel looks quite different from a direct-to-consumer model. Manufacturing sales enablement requires content and sales tools calibrated to technical buyers and long evaluation periods, not to impulse conversion.

The Upper Funnel Problem Nobody Wants to Fund

There is a persistent tension in most marketing budgets between upper-funnel brand investment and lower-funnel performance spend. Performance is easier to justify because the attribution model makes it look efficient. Brand is harder to justify because the returns are diffuse, delayed, and difficult to attribute to a specific campaign.

I have sat in enough budget reviews to know how this plays out. The CFO wants to see return on investment. The performance team has a clean dashboard. The brand team has a qualitative argument and some awareness survey data. The performance team wins the budget. This happens year after year, and it is one of the main reasons businesses find themselves heavily dependent on paid search to drive revenue, with no organic pull and no brand equity to fall back on when costs rise or competition intensifies.

The analogy I keep coming back to is a clothes shop. When someone walks in off the street and tries something on, they are dramatically more likely to buy than someone who walks past the window. But to get people trying things on, you first have to get them through the door. And to get them through the door, they have to know you exist and have some reason to prefer you over the shop next door. The work that creates that preference is upper-funnel work. It does not show up in the conversion data for that transaction, but it is the reason the transaction happened.

Conversion optimisation has a role to play. Tools that help you test and refine the experience at key decision points, like those covered by Optimizely’s digital optimisation approach, are genuinely useful. But optimising a funnel that is not being fed from the top is a maintenance activity, not a growth strategy. And as Unbounce has noted in their conversion thinking, reducing friction at the point of conversion only matters if the right people are arriving in the first place.

Lead Scoring: Where Funnel Theory Meets Operational Reality

One of the places where funnel design breaks down most visibly is lead scoring. The theory is straightforward: assign scores to leads based on fit and behaviour, and prioritise the ones most likely to convert. In practice, most lead scoring models are either too simple to be useful or too complex to be maintained.

The common failure mode is treating all engagement as equal. A lead who downloaded a whitepaper three years ago and has not engaged since is not the same as a lead who watched a product demo last week. A lead from a company that matches your ideal customer profile is not the same as a lead from a company that will never have the budget to buy. Getting this right requires a clear definition of what a qualified lead actually looks like, and that definition has to be built jointly by sales and marketing, not handed down from one team to the other.

The sector dimension matters here too. Lead scoring in higher education looks fundamentally different from lead scoring in financial services or enterprise software. In higher education, intent signals like open day registrations, course page visits, and scholarship enquiries carry very different weight than a generic content download. Applying a generic scoring template across sectors is one of the more common ways organisations end up with a scoring model that sales ignores because it does not reflect how buyers in their market actually behave.

There are also persistent myths about what lead scoring can and cannot do. It is worth being clear-eyed about the sales enablement myths that distort how teams think about qualification, because believing that a high lead score guarantees conversion is one of the more expensive assumptions a sales team can make.

Sales and Marketing Alignment Is an Operational Problem

The phrase “sales and marketing alignment” has been used so often that it has lost almost all meaning. It tends to get invoked when there is tension between the two teams, as if the problem is cultural and the solution is a workshop or a shared set of values. In my experience, the problem is almost always operational. It shows up in specific, concrete ways.

Marketing defines a lead as anyone who fills in a form. Sales defines a lead as someone who has a budget, a timeline, and a genuine problem your product solves. These two definitions are incompatible, and until they are reconciled, the funnel will leak at the handover point regardless of how much is invested in either team.

When I was running agencies, the clearest version of this problem was in new business. Marketing would generate enquiries. New business development would complain that the enquiries were not qualified. Marketing would point to the volume of leads as evidence of success. New business would point to the conversion rate as evidence of failure. Both were right about their own metrics and wrong about what mattered. The fix was not a better relationship between the two teams. It was a shared definition of what a qualified opportunity looked like, agreed before any campaign launched, with accountability on both sides.

The benefits of sales enablement are most clearly realised when this alignment is operational rather than aspirational. Shared definitions, agreed handover criteria, joint accountability for pipeline quality, not just pipeline volume.

Content and Collateral Across the Funnel

One of the practical outputs of good funnel thinking is a content and collateral plan that maps to actual buyer needs at each stage. This sounds obvious. It is surprisingly rare in practice.

Most organisations produce content for the top of the funnel because it is visible, shareable, and easy to measure in terms of traffic and engagement. They produce content for the bottom of the funnel because sales asks for it. The middle of the funnel, where buyers are actively evaluating options and need detailed, credible, comparative information, is frequently underserved.

Mid-funnel content is harder to produce because it requires genuine product and market knowledge. It cannot be outsourced to a content agency that does not understand your category. It includes things like detailed comparison pages, technical documentation, case studies that address specific objections, and ROI calculators that help buyers build an internal business case. This is the category of material covered by sales enablement collateral, and it is where the investment tends to pay back most directly in shortened sales cycles and higher close rates.

The discipline of producing good mid-funnel content also forces a useful internal conversation about what your actual value proposition is, and whether it is specific enough to be meaningful. Vague claims about being “customer-centric” or “innovative” do not help a buyer who is trying to justify a purchase decision to their finance director. Specific evidence of outcomes in comparable situations does.

Good content strategy also requires honest thinking about distribution. A piece of content that no one sees does not move anyone through the funnel. Copyblogger’s foundational thinking on content has long made the point that the writing is only half the problem. Getting it in front of the right people, at the right moment, is the other half.

Measurement: What the Funnel Can and Cannot Tell You

Funnel metrics are useful. They are not the truth. They are a perspective on a process that is messier and more human than any dashboard can fully represent.

The metrics that matter most are conversion rates between stages, not volume at any single stage. A funnel with high top-of-funnel volume and a poor mid-funnel conversion rate has a qualification problem, not a marketing problem. A funnel with strong mid-funnel engagement and poor close rates has either a pricing problem, a competitive problem, or a sales execution problem. The funnel data points you toward the right question. It rarely answers it on its own.

One of the more honest things I can say about measurement is that most attribution models are wrong in ways that systematically benefit the channels with the most trackable touchpoints. Last-click attribution overvalues paid search. First-click attribution overvalues brand campaigns. Multi-touch models distribute credit more evenly but are still built on assumptions about which touchpoints matter. None of them capture the influence of a conversation at a conference, a recommendation from a trusted peer, or a piece of content read two years before the purchase decision.

This does not mean measurement is pointless. It means it should be treated as an honest approximation, not as a precise account of what caused what. The organisations that use funnel data well are the ones that treat it as a prompt for investigation rather than a verdict on performance. As Buffer has explored in their operational thinking, transparency about what your data can and cannot tell you is more useful than false confidence in incomplete metrics.

The broader challenge of building a commercially credible sales enablement operation, including how to measure it honestly, is something I cover across the Sales Enablement and Alignment hub. The funnel is one piece of that picture, but it only makes sense in the context of the wider commercial system it sits inside.

Building a Funnel That Reflects How Your Buyers Actually Behave

The practical starting point for redesigning a funnel is not a framework. It is a set of conversations. Talk to your best customers about how they found you, what they were thinking at each stage, what nearly stopped them from buying, and what finally tipped them over. Talk to your sales team about where deals slow down and why. Talk to the prospects who did not buy about what they chose instead and why.

This qualitative work is unglamorous and time-consuming. It is also more valuable than any amount of dashboard analysis, because it surfaces the human reality behind the numbers. I have seen businesses spend months optimising a funnel stage that was not actually the problem, because no one had done the basic work of asking customers what their experience had been.

Once you have that picture, you can map your funnel stages to real buyer behaviour rather than to a generic template. You can identify where the genuine friction points are. You can build content and collateral that addresses actual objections rather than imagined ones. And you can set metrics that reflect what you are actually trying to achieve at each stage, rather than defaulting to whatever your CRM happens to track by default.

The BCG perspective on growth in complex markets has long emphasised that sustainable commercial performance comes from understanding the specific dynamics of your market rather than applying universal playbooks. That principle applies directly to funnel design. A funnel built around your buyers, in your category, with your specific competitive context, will outperform a generic funnel borrowed from a best-practice article every time. BCG’s research on market-specific growth dynamics reinforces the point that context is not a modifier of strategy. It is the foundation of it.

About the Author

Keith Lacy is a marketing strategist and former agency CEO with 20+ years of experience across agency leadership, performance marketing, and commercial strategy. He writes The Marketing Juice to cut through the noise and share what works.

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