What is the Buyer Journey?

The classic model breaks the buyer journey into three sequential stages: awareness, consideration, and decision. In the awareness stage, a buyer recognizes a problem or gap but has not yet named a solution category — they search for symptoms, read industry reports, and consume educational content. In the consideration stage, the buyer has defined the problem and is actively comparing solution types and shortlisting vendors, often across multiple stakeholders simultaneously. In the decision stage, a shortlist of two to three vendors has been formed and the buyer is evaluating proof — case studies, demos, references, pricing — before committing.

Gartner refines this into six non-linear 'buying jobs': problem identification, solution exploration, requirements building, supplier selection, validation, and consensus creation. The critical difference from the linear funnel is that these jobs happen concurrently rather than sequentially, and each is revisited at least once. A deal can appear to be in 'decision' while a new stakeholder restarts 'solution exploration' from scratch — which is why 77% of B2B buyers describe their most recent purchase as 'very complex or difficult' (Gartner).

For practitioners, the takeaway is that stage-based content mapping (blog for awareness, case study for decision) is necessary but insufficient. Revenue teams need to track which buying jobs are active inside an account at any moment — and that requires behavioral signal data, not just form fills.

In practice, the modern B2B buyer journey begins not with a sales conversation but with anonymous research. A champion — often a mid-level operator who owns the problem — starts searching: Google, AI chatbots, peer communities, G2, and LinkedIn. They form a mental shortlist before any vendor knows they exist. Research from 6sense (2025) found that 83% of buyers define their requirements before talking to sales, and 94% rank their shortlist before engaging sellers at all.

Buying committees have grown. For enterprise purchases above $50K, Forrester (2024) places the typical buying group at 11 or more decision-makers. Each member runs their own research track, pulling in peers, external advisors, and AI tools for validation. All six of Gartner's buying jobs are active simultaneously inside a single group, which is why deals stall: 86% of B2B purchases stall before close (Forrester State of Business Buying 2024) — not because buyers lose interest, but because internal consensus creation breaks down.

The point of first contact has shifted too. In 2024, buyers typically contacted vendors at the 69% mark of their journey; by 2025 this moved to 61% (6sense) — roughly six to seven weeks earlier, likely because economic pressure pushed buyers to engage earlier for pricing certainty. But even at 61%, sellers who wait for inbound are still late to the shortlist conversation.

The buyer journey matters because it exposes the gap between how sellers operate and how buyers actually behave. Most outbound motions assume the seller initiates the process; most buyer journeys show the buyer never announces themselves until they have already formed a preference. That mismatch is why 95% of deals go to vendors already on the Day One shortlist (6sense, 2025) — if you are not visible during the self-directed research phase, you are competing for the remaining 5%.

For marketing, journey-mapping guides content investment: awareness-stage buyers need category education, not product demos; decision-stage buyers need proof, not blog posts. Teams that mismatch content to stage lose buyers before a conversation starts. Gartner (March 2026) found 67% of B2B buyers now prefer a rep-free buying experience entirely — meaning content is the primary sales motion, not outbound calls.

For sales, journey awareness changes prioritization. Not all accounts are equal — some are actively in-market (running all six buying jobs concurrently), and some are months away from problem identification. Behavioral intent signals — content consumption patterns, review-site activity, competitor searches, and technology research — serve as a proxy for journey stage, letting revenue teams focus effort on accounts that are actually in motion rather than spraying outreach at a static list.

The most significant structural shift in the buyer journey over the past two years is the addition of AI-assisted research as a distinct early-awareness channel. G2's April 2026 study of 1,076 B2B software buyers found that 51% now begin their purchasing research in an AI chatbot rather than Google — up sharply from 29% just twelve months earlier. Nearly three in four (71%) B2B software buyers rely on AI chatbots at some point in the process. Critically, 69% of buyers said AI guidance caused them to choose a different vendor than they initially planned.

AI tools accelerate the awareness and consideration stages: a buyer can synthesize competitive positioning, identify shortlist candidates, and draft an RFP template in a single session. This compresses the time from problem identification to shortlist formation, but does not eliminate the need for human validation. Notably, 6sense (2025) found that even with heavy AI tool use, buyers still average 16 interactions per person with their winning vendor before close — suggesting AI accelerates filtering, not relationship depth.

For sellers, the implication is clear: being referenced by AI tools (through thought-leadership content, G2 review-site ratings, third-party citations, and structured data) is now an early-awareness requirement. Buyers who start with ChatGPT and find no mention of your product may never reach the stage where outbound can intercept them. This has created a new category — Answer Engine Optimization (AEO) — focused specifically on earning citations in LLM-generated research summaries.

Komo is built around a core insight from buyer journey research: by the time a buyer raises their hand, the shortlist is already formed. The only way to be on that shortlist is to detect in-journey signals early — before the buyer initiates contact — and reach out with a message that maps to where they actually are in their research.

Komo monitors the behavioral signals that accumulate across the buyer journey: job changes that destabilize an incumbent vendor relationship, funding events that expand budget authority, technology installs that reveal competitive displacement opportunities, and intent topic spikes that indicate active research. These signals are correlated against your ICP to surface accounts that are in-journey right now, not accounts that happen to be in your CRM from a list import months ago.

Critically, Komo keeps a human in the loop on every send that matters. The platform handles the repetitive work — signal monitoring, account research, first-draft personalization, follow-up sequencing — and surfaces a ready-to-send message for the rep to review and approve. This means outreach arrives at the right journey stage with context that only a signal-aware system can assemble, without sacrificing the judgment and tone that buyers expect from a real person they want to do business with.