One of the most visible shifts in B2B buying today is the timing of seller engagement.
And on the surface, this can look like opportunity.
The 6sense Buyer Experience data we worked on together offers a more precise perspective.
Across markets, buyers are initiating contact with vendors significantly earlier than in previous years. First seller contact now occurs at roughly 61% of the buying journey, compared to nearly 69% previously.
This shift is meaningful — but it is also important not to over-interpret it as purely structural. Earlier engagement does not signal buying intent. It signals uncertainty.
Two contextual factors appear to be amplifying this earlier engagement.
First, economic uncertainty. In periods of tighter budgets and higher scrutiny, buyers seek earlier validation to reduce the risk of late-stage surprises. Engaging vendors sooner allows buying groups to stress-test assumptions, pricing models, and feasibility before momentum builds internally.
Second, AI opacity. While AI is increasingly embedded inside products and services, its role is often poorly explained. Buyers struggle to assess what AI actually does, how it affects cost structures, data usage, security, and long-term dependency. This lack of transparency drives earlier outreach — not to buy, but to understand.
These dynamics suggest that part of the shift toward earlier engagement may be situational rather than permanent. As markets stabilize (if they ever will) and AI offerings become more standardized and better understood, some of this upstream engagement could normalize again.
Despite earlier conversations, deal outcomes remain largely fixed. In the vast majority of cases, the winning vendor is already on the shortlist before meaningful sales engagement begins. This pattern holds consistently across regions.
Sales is not late — but it is often constrained.
Earlier engagement does not create an open field. It creates earlier checkpoints within a decision that is already taking shape.
AI is now a standard part of buyer research. Buyers use it to explore options, summarize information, and frame their thinking.
What AI does not do is remove uncertainty. Instead, it introduces new questions:
These questions explain why buyers are reaching out earlier — and why those early conversations are exploratory rather than transactional.
A critical insight from the data is the size of the in-market audience.
At any given moment, approximately 40% of an ideal customer profile is in-market. Only a small fraction of that group — roughly 5(–10%) — is actively making a decision. The rest is evaluating, aligning, and narrowing options.
The widely cited "95–5" rule—where 95% of buyers are assumed to be out of market and 5% in market—is a heuristic, not a rule of nature. More importantly, it is often interpreted incorrectly: in reality, the out-of-market portion is closer to 60%, and the original framing oversimplifies buying dynamics into an overly binary model. Between being fully out of market and ready to buy, there is a substantial "transition period" in which buyers are actively selecting and evaluating options without yet wanting to engage directly with vendors.
Earlier engagement is therefore not an anomaly. It reflects the reality that buying activity begins long before formal decision-making does.
Finally, the data reinforces a fundamental reality: buying is collective.
Individual interactions only make sense when interpreted in the context of the buying group and its stage of progress. Engagement signals must be understood over time, at the account level.
Earlier engagement does not simplify selling. It increases the need for relevance, timing, and precision.
The takeaway is not to chase early engagement harder — but to interpret it more carefully.
Earlier engagement today is:
Organizations that recognize these dynamics will avoid false positives — and position themselves more effectively when real decisions begin.