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Your Funnel Is Cracking—Build the Bow Tie Instead

Your Funnel Is Cracking: Build the Bow Tie Instead

For years, growth teams have treated the funnel as a dependable route from awareness to lead, opportunity and closed-won revenue. That route is now full of gaps. Buyers discover answers without visiting websites, evaluate vendors through communities and peer evidence, and involve more stakeholders before committing. The answer is not to add more campaigns to a weakening model. It is to build a connected system that supports discovery, evaluation, purchase, adoption, expansion and renewal.

Why is the traditional funnel becoming less reliable?

The traditional funnel is weakening because buyer behaviour has moved beyond the channels and hand-offs it was designed to measure. Search increasingly ends without a click, AI-generated answers intercept demand, and prospects self-educate through communities, reviews and conversations. If our system still depends on forms and linear attribution, it will miss influence, misread intent and create costly gaps between marketing, sales and customer success.

This is the problem facing most established organisations. Their go-to-market infrastructure was built around a simple sequence: a prospect searches, visits the website, completes a form and enters a managed pipeline. That sequence still happens, but it is no longer the dominant path. Discovery may take place in an AI assistant, a professional community or a peer discussion. Evaluation may be completed before a buyer ever speaks to sales.

The pressure is intensified by fragmented technology and inconsistent data. Many organisations have added artificial intelligence to legacy systems without fixing unclear processes, duplicated records or weak ownership. The result is more automation, but not necessarily better decisions. AI can accelerate a sound operating model, yet it cannot compensate for a broken one.

How are buyers discovering and evaluating vendors now?

Buyers now move through a distributed journey in which visibility, credibility and usefulness matter more than a single website visit. Discovery occurs through AI summaries, generic problem searches and practitioner communities. Evaluation is increasingly self-directed and shaped by reviews, peer recommendations and public conversations. By the time sales engages, much of the shortlist and perceived value may already be established.

That change has two major implications. First, content must be useful wherever the question is being asked, not only on owned channels. It should explain problems clearly, answer practical questions and reflect the language customers use. Second, reputation is no longer a late-stage asset. Customer experiences, implementation stories and community participation influence future demand continuously.

Decision-making is also becoming more complex. Buying groups have expanded, which means more priorities, objections and internal stakeholders must be aligned. A single email sequence or sales call cannot carry the whole case for change. Coordinated activity across relevant channels is more effective because it gives different stakeholders the evidence and context they need.

What replaces the funnel?

The bow tie model provides a more useful operating model because it treats purchase as a midpoint rather than an endpoint. The left side covers awareness, education, evaluation, decision and purchase. The right side covers onboarding, adoption, measurable impact, expansion and renewal. The model connects acquisition with customer value, making the entire revenue lifecycle one shared growth responsibility.

This matters because successful customers create future demand. Customers who onboard effectively and achieve meaningful outcomes are more likely to recommend the product, answer questions in communities and contribute credible stories. Their experience influences prospects who may never interact with a campaign. In this model, customer marketing, product education and advocacy are not separate activities. They are part of the demand engine.

The bow tie also changes how teams define performance. Marketing should not stop measuring at qualified pipeline, and sales should not stop at a signed contract. The organisation needs shared visibility from first influence through to adoption and renewal. That makes it easier to identify where value is being lost, whether during evaluation, handover, implementation or ongoing usage.

Where should artificial intelligence fit in the growth system?

Artificial intelligence is most valuable when it helps teams understand behaviour, create relevant responses and operate consistently at scale. It can reveal patterns across fragmented journeys, support faster content and campaign production, and help teams tailor engagement to different stakeholders. It should strengthen human judgement and customer understanding, not replace strategy or disguise weaknesses in data, governance and process.

The first opportunity is intelligence. AI can bring together signals from search, engagement, product usage, customer conversations and account activity to identify themes and changes in intent. The second is execution. It can help repurpose useful knowledge, adapt messages for different audiences and support timely follow-up. The third is learning. Teams can analyse what customers ask, where prospects hesitate and which experiences lead to adoption.

However, the order matters. Before introducing more automation, clarify the customer journey, define shared lifecycle stages and establish reliable information. Decide which decisions require human oversight. Existing institutional knowledge also needs to be captured, because AI cannot reliably interpret undocumented context, exceptions and customer nuance.

What must change inside the organisation?

Growth must become a cross-functional system rather than a sequence of departmental hand-offs. Marketing owns more than lead creation, sales owns more than conversion, and customer success owns more than support. All three functions influence the same relationship. Shared definitions, connected data and common goals are essential if teams are to respond to buyers as one organisation.

This requires a practical shift in planning. Start with the questions buyers and customers ask at each stage. Map the evidence needed to move forward, the friction that blocks progress and the team responsible for removing it. Then connect content, campaigns, sales plays, onboarding and advocacy around those moments. The aim is not more activity. It is a more coherent experience.

What This Means for Marketers

  • Map the complete bow tie journey, including discovery, evaluation, purchase, onboarding, adoption, expansion and renewal. Identify the evidence and owner required at every stage.
  • Measure influence beyond clicks and form fills. Track community visibility, peer validation, sales enablement, product adoption, customer advocacy and renewal contribution.
  • Create content for distributed discovery. Answer real customer questions in clear, practical language and make useful expertise available beyond owned channels.
  • Prepare the foundations for AI before scaling it. Clean critical data, document processes, agree governance and decide where human judgement remains essential.
  • Bring customer evidence into demand generation. Use implementation lessons, outcomes, reviews and community insight to improve both acquisition and retention.

The funnel is not disappearing, but it is no longer enough to describe how growth works. Buyers move across channels, self-educate before engaging and continue shaping demand after purchase. A bow tie gives us a better view: win the right customers, help them realise value and turn that value into durable advocacy. Our goal should be a connected revenue lifecycle that scales with customer behaviour, not a collection of campaigns that ends at closed-won.

Zohe
Zohe
Seasoned Senior Digital Growth Leader with over 25 years driving transformative growth for global organizations across diverse industries including Retail, SaaS, Telecoms, Healthcare, Technology, Hospitality, Ecommerce and Digital Media.

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