The linear B2B buying funnel — awareness, consideration, decision — was always an oversimplification. But for most of the 2000s and early 2010s, it was close enough to be useful. Buyers had limited access to independent information. Vendors controlled the education process. Sales had leverage because information asymmetry gave them leverage. That world is gone. What replaced it is more complex, more buyer-controlled, and requires a fundamentally different marketing approach.
What actually changed — and when
Three waves of change have fundamentally altered how B2B buyers behave, how they research, and how vendors earn a place in their consideration set.
Review platforms (G2, Capterra, Trustpilot), LinkedIn peer networks, analyst blogs, and independent content proliferated. Buyers stopped relying on vendor-produced content to educate themselves about categories. The sales rep who had information the buyer didn't have — a key source of sales leverage — became rarer. By 2018, Gartner research showed buyers completing 57% of their purchase decision before first contact with any vendor. The figure has since risen to 74% in our 2026 survey data.
As information abundance created content saturation, buyers became more discriminating about sources. Peer recommendation became dominant — recommendations from known contacts outperforming vendor content by 3:1 on credibility. Thought leadership from individual practitioners outperformed corporate marketing. Anonymous review platforms outperformed case studies produced by vendors. The shift was from "what does the vendor say?" to "what do people like me say about the vendor?"
Large language models have changed how buyers research categories, build shortlists, and evaluate vendors. 68% of buyers now use AI research tools at some point in their vendor evaluation process. AI systems synthesise information across hundreds of sources and present it as a direct answer — which means vendors that are well-represented in authoritative sources are cited more frequently, and vendors with thin content presence are invisible at this new first stage of the buying journey.
What no longer works
Some of the marketing playbooks that dominated B2B from 2010-2020 have lost effectiveness or become actively counterproductive in the current environment.
Gating every piece of content behind a form to collect emails made sense when information was scarce and buyers would tolerate friction to access expertise. In 2026, buyers have abundant alternatives. Forms reduce reach dramatically, block AI citation, and signal to buyers that you prioritise data collection over genuine helpfulness. The brands winning attention give value freely.
Generic cold email and LinkedIn InMail sequences have become so prevalent that response rates have declined dramatically — from an average of 8-10% open rate in 2015 to under 2% in 2026 for sequences without any prior brand awareness. Cold outreach still works — but only when it is timed to genuine buying signals, personalised to a specific situation, and preceded by brand familiarity through content and social presence.
Optimising for MQL volume — reducing form friction, targeting broad audiences, lowering lead score thresholds — produces high contact volumes at consistently declining quality. As buyer expectations for personalisation and relevance rise, generic nurture sequences triggered by low-intent actions generate unsubscribes faster than opportunities. Quality over volume is not a platitude — it is the direction the data consistently points.
Last-touch attribution — crediting the conversion channel with 100% of deal value — has always been inaccurate. In a world where buyers use AI research tools, peer communities, review platforms, LinkedIn content, and direct search before ever clicking a paid ad, single-touch attribution systematically misdirects budget toward late-funnel capture at the expense of the awareness and trust-building that drives actual buying decisions.
What works now
The approaches that are generating strong pipeline ROI in 2026 share a common characteristic: they serve buyers in the way buyers actually research and decide, rather than the way vendors find it convenient to sell.
Practical implications for marketing investment
- Rebalance toward demand creation: The most common misallocation in 2026 B2B marketing budgets is overinvestment in demand capture (PPC, retargeting, late-funnel content promotion) and underinvestment in demand creation (organic content, brand, thought leadership, AEO). The evidence from well-attributed programmes consistently shows that demand creation investment produces better long-term pipeline ROI despite its longer payback period.
- Build AEO infrastructure before it is table stakes: AI search citation is currently a first-mover advantage. In 2024-25, fewer than 20% of B2B companies had AEO programmes. In 2027-28, it will be a baseline expectation. The companies investing in FAQPage schema, topical authority, and original research today are building the citation presence that will be significantly harder to establish once competitors catch up.
- Invest in review generation systematically: Most B2B companies treat reviews as something that happens organically. The companies with the strongest G2 and Capterra presence have systematic review generation programmes — timing review requests to moments of customer success, making the submission process easy, and responding to every review publicly. This is a marketing investment with compounding returns and relatively low cost relative to impact.
- Measure the full buyer journey: If your current attribution infrastructure only shows you the last touchpoint before conversion, you are making budget decisions based on incomplete data. The investment in multi-touch attribution infrastructure — UTM consistency, attribution tool, self-reported attribution fields — pays for itself in better budget allocation within 12-18 months of implementation.
Our GTM Audit maps the strategic opportunities specific to your ICP, competitive position, and growth stage - and delivers a concrete programme recommendation.