Nuancing the 95/5 Rule and Dead Zone of B2B Buying Journeys 

Executive Summary

The widely cited 95/5 rule suggests that only 5% of buyers are in-market at any given time. While useful as a heuristic, this rule was derived from B2C contexts and maps poorly to the long, complex purchase cycles of B2B. In this report, we analyze behavioral data from 594 B2B companies to challenge this oversimplification and provide a more accurate, stage-aware view of buyer readiness.  

Using 6sense’s AI-driven modeling of account behavior, we uncover that at any moment, roughly 40% of accounts are showing meaningful signs of buying activity—far more than the 5% rule would suggest. However, a deeper problem emerges from this analysis: few of those accounts ever reach the final stages of the journey. Instead, most stall out due to internal misalignment, lost momentum, or a failure to build a compelling business case. 

We call this the Dead Zone of B2B Buying—a space in the buying journey where opportunities vanish before they ever get to pipeline. This report offers data-driven insights into how revenue teams can detect early-stage buying, enable decision-making, and guide more accounts through the gauntlet toward purchase. 

Organizations should focus marketing and content resources toward tactics that will help skeptical buying group members understand the business case for change. 

Introduction 

The 95/5 rule asserts that only 5% of buyers are actively in-market at any given time, with the remaining 95% not currently engaged in a purchasing process. While originally intended as a heuristic to guide marketers in identifying their own distribution of in- and out-of-market accounts, the rule has often been interpreted too literally and applied broadly across B2B contexts.

This oversimplification fails to account for the significant structural differences between B2C, from which the rule was originally derived, and B2B buying processes. At the heart of the disconnect is the term “in-market”. In B2C and low-cost B2B purchases, the buying journey often starts and finishes in the same quarter. An account that is in-market is one that will be buying in the present moment.

In typical B2B scenarios, purchases unfold over multiple quarters. Even if 5% of prospects will buy this quarter, many more are actively evaluating—and have been for months. The average buying journey for purchases in the $250,000 to $300,000 annual value range spans approximately 12 months and involves 11 stakeholders evaluating five vendors. Clearly, this quarter’s buyers have been in market for many of the preceding quarters. 

Moreover, most of the vendors that will be considered are shortlisted early in the process—often six to nine months before direct engagement with sellers occurs. Buyers purchase from that original shortlist 85% of the time. Consequently, vendors who focus their energies on the prospects that will buy in the present quarter risk being excluded before a formal evaluation even begins. As we will see, however, there is even more at stake in the early stages of the journey. 

In this report, we use data from 594 B2B organizations to establish a more accurate understanding of how many accounts are in market at a given time—and how those accounts are distributed across buying journeys that span multiple months and quarters. 

Our aim is to provide B2B marketing and revenue teams with a more grounded view of their buying audiences—one that supports more accurate planning, better alignment of resources, and more effective buyer engagement across the entire purchase process.

Reframing the B2B Buying Process 

Rather than classifying companies as simply “in-market” or “not,” B2B buying behavior is more usefully understood as a long-running exploration of potential business solutions, which frequently vacillates between active search, internal debate, and reconsideration. In any given moment, some accounts exhibit no active signals. Others are conducting early-stage research. Still others are well along in their evaluation of solutions, while a precious few are preparing to finalize a purchase.  

Simply observing the current behavior of an account (e.g., regarding a spike in intent data) cannot reliably tell us whether an account is truly in market or how likely they are to make a purchase. Only when we observe the behavior of an account over time can we make reliable inferences about whether a buying journey is in process, and how far along in that journey the account might be. 

The 6sense platform does exactly that. Within the 6sense platform, accounts are classified into five stages based on their modeled probability of becoming a qualified opportunity within the next 90 days. As such, looking across multiple 6sense customers allows us to establish what the typical distribution of accounts across buying journeys looks like.

Methods & Data 

This study draws on behavioral data from 594 B2B organizations using the 6sense platform. The sample includes: 

• 495 technology firms 
• 65 services organizations 
• 34 companies from other industries 

Given this distribution, findings should be interpreted primarily within the context of the technology sector. 

Each participating company uses 6sense’s predictive models to monitor and score buying behavior among their target accounts.

Assigning Buying Journey Stages 

To determine the current buying stage of prospect accounts, 6sense first builds a model based on historical buyer research data, then matches current prospect accounts to the model, assigning each account a probability to become a pipeline opportunity. Prospect accounts are then grouped into stages containing similar probability ranges. See a complete description of the model building and scoring methodology here.

Accounts are dynamically assigned to one of five stages: 

A key feature of this approach is its contextual evaluation of buyer behavior. A single spike in activity is not, on its own, sufficient to classify an account as in-market. For any given account or deal size, behavior is assessed relative to a baseline of typical engagement. In many categories, vendors may see consistent web traffic from target accounts due to general interest or existing customer activity—traffic that does not necessarily signal an active buying process.

Instead, it is the sustained, multi-channel engagement—across personas and beyond the established baseline—that more reliably indicates meaningful progression toward a purchase decision. By evaluating current behavior in the context of historical patterns, the model identifies whether a buying journey is likely underway.In this study, we consider accounts in the Awareness, Consideration, Decision, and Purchase stages as ‘in-market,’ reflecting a broader and more realistic definition of active buying motion in B2B.

Snapshots

For this study, we took an extract of account-level buying activity from the data set at one point in time. This snapshot is literally what one would expect to find at any given moment. Findings from the entire data set were confirmed by taking smaller, random samples and comparing resultsThe large sample size (594 companies and their 18.8 million prospect accounts) helps ensure that the distribution observed is not overly impacted by customers with highly seasonal or otherwise skewed prospect account distributions.

Key Insights from the Distribution of Accounts Across Buying Journey Stages 

The remainder of this report presents findings from the aggregate analysis, identifying how many accounts are in market at a given time, how far they progress through the funnel, and how these patterns vary by deal size and industry sector. 

Our goal in the research is to identify the typical distribution of accounts across the five stages described above.

The 60:40 Split 

The most salient observation from this data is that at any point in time, approximately 60% of accounts are found in the Target category, meaning they are dormant and have not yet entered even the earliest stage of a buying journey. There may be discernible activity from these accounts, but, in context, it does not indicate that a buying process is in progress.

This supports the core idea behind the 95/5 rule but also provides an important B2B corrective. In B2B, it is not 5% of the market that are engaged in some level of goal-oriented vendor evaluation at any given time, it is roughly 40%. 

Beyond that observation, important nuances emerge.

• Three-fourths of the remaining accounts are in the two earliest stages of the buying journey—highlighting a substantial cohort of accounts that are exploring purchase options. 
• Less than half (2.3%) of the Ehrenberg-Bass estimate of 5% appear to be in immediate buying mode at any given time. This number can be expected to fluctuate with economic conditions, and there is some evidence in the data to suggest that this number was meaningfully higher in 2021 and immediately prior. 
• Deal size is a reliable driver of buying stage behavior—but industry in our sample is not. 
• B2B providers with smaller deal sizes experience a higher percentage of their target accounts out-of-market and not yet showing buying signals.
• Providers with larger deals have reliably more accounts progressing into Consideration and Decision. Smaller deals, by contrast, tend to get stuck earlier in the journey. 

Because Tech dominates the dataset, comparisons to Services and Other sectors show only minor differences, and we cannot reliably infer from the data beyond Tech. Purchase-stage behavior varies slightly, but those findings are likely noise due to small sample sizes in non-Tech categories. 

The most important takeaway is that many accounts show early signs of interest that may persist for several months and even multiple quarters. Yet, few make it to the Purchase stage.

The Dead Zone of B2B Buying: Many Accounts Enter, Few Emerge to Make a Purchase 

When we step back to consider the distribution of accounts across stages, a fundamental reality comes into focus: irrespective of price point or industry, only a small fraction of the accounts that begin a buying journey ever make it to purchase.

Across our dataset of 18.8 million prospect companies, approximately one-third (34%) of accounts are classified into the first two stages (Awareness and Consideration) of their buying journeys. These accounts have been showing signs of active research, consideration, or intent for weeks, months, and even quarters. That’s a much larger share than the traditional 5% “in-market” assumption and reflects the multi-quarter, committee-driven nature of B2B buying.

However, what’s more striking is what happens next – or, more accurately, doesn’t happen next. 

With 94% of accounts either not in market or in the early stages of their journey, just 6% of accounts remain to populate the final two stages of the buying journey. And we cannot be sure that all of those accounts actually do make a purchase.  

This dramatic winnowing effect occurs across all purchase cost ranges. For example, in the most representative deal sizes, approximately 60% of accounts are out of market, 15% of accounts are in Awareness, and 16% are in Consideration, with the remaining 9% split evenly across the Decision and Purchase stages.  

That’s a steep collapse of potential selling opportunities – a Dead zone into which potential pipeline disappears. Whether owing to a weak business case for a purchase, competing priorities, or internal misalignment, nearly all organizations that go into market for a solution leave the market without acquiring one. This pattern is consistent across price ranges but becomes more pronounced in larger deals.

Our study did not examine why so many buying processes end without buying. However, a study published in June 2024 by LinkedIn and Bain found that, “between 40%-60% of purchase attempts, the deal was abandoned because the buyer group could not agree.” Other reasons that buying processes were abandoned include predictable reasons, such as loss of funding and changes in market conditions.

Implications 

What we think of as a ‘journey’ may more accurately be regarded as a long voyage beset by conflicting priorities and opinions, institutional skepticism, internal politics, and uncertain resources.  

With buying groups of 5 to 20 or more, reaching consensus rarely happens quickly—and often never at all. Each stakeholder brings their own experiences, biases, and job pressures to the table. Some are enthusiastic, most are cautious, and others are simply distracted. As a result, most journeys are abandoned, ending before solutions are even thoroughly vetted. 

While B2B revenue teams toil away to win a greater share of the deals that reach the final stages of their journeys, the much greater opportunity appears to lie in enabling more buyers to persist through the early stages, where business cases are evaluated, and priorities are set.  

Here, we encounter a conundrum. Our Buyer Experience Study tells us unequivocally that 80% of buyers will decline invitations to engage with sellers until they have reached the late stages of their journeys (70% through) and have chosen a favorite. By then, however, most opportunities will have evaporated. 

Buyers won’t talk to sellers in the early days of the journey, so it is clearly down to marketing to find a way to help buyers stay the course in their buying journeys. 

Complicating matters further, buyers also say that they fill four of the five slots in the consideration set early in the Awareness stage. Large brands are likely to make the cut, but smaller brands must be present at the moment the buying journey is conceived, if not before, to win a spot on the shortlist. Again, it is marketing that must step up to address this early decision-point. 

Recommendations for Increasing Buyer Journey Throughput 

To encourage more buyers to move through a buying process – and to choose your brand, B2B revenue teams should do the following: 

• Understand buying group needs and dynamics. The buyer is a group of people with diverse—and often divergent—opinions about how and whether an organization should address its business needs. This diversity of views can paralyze a buying process. Revenue teams must clearly address the concerns of skeptical buying group members, whether they be financial ratifiers, senior decision-makers, or procurement officers.
• Organizations should review their inventory of business case and return-on-investment tools and case studies to ensure that adequate content exists and is findable.
• Never miss an in-market buyer. Revenue team must see and respond to all buying journeys. This does not mean responding to every spike in intent data that emanates from a target account. As described above, those signals must be understood in context. When the context suggests an early-stage journey, revenue teams should immediately begin enabling buyers with content, tools, and experiences that will help nudge the entire buying group through their journey to consensus. 
• Enabling buyers throughout. Buying groups stall more than they decide. The marketer’s job is increasingly to help buying teams make decisions—through consensus content, problem reframing, and evidence that reduces perceived risk.
• Prioritize resources. Prioritize demand-focused resources toward accounts that are in market. Doing so dramatically increases the efficiency of demand spend, enabling marketers to substantially enhance their presence with in-market buyers.
• Plan for journey cycles. Understand and plan around typical buying cycles for your segment. Buyers in B2B rarely go into market and buy in the same quarter. To impact pipeline and revenue, most B2B providers will need to influence target accounts two to four quarters in advance. Understanding, planning for, and socializing the nature of your prospects’ buying journeys can help align all members of the revenue team on the job at hand.

The B2B buyer journey is inherently complex, nuanced, and unfolds over extended timelines. The 95/5 rule served a noble purpose in B2B by focusing marketers on the fact that just a small slice of their target audience is in buying mode in any given quarter. Now, our understanding of the 95/5 rule for B2B must evolve to reflect real-world B2B conditions. This new understanding suggests strongly that B2B providers wishing to generate a greater volume of pipeline deals would be best served by effectively engaging early- and mid-journey accounts, nudging them to persist through to Dead Zone and through to the purchase stage of their journeys.

Coming Soon

With our friends at SteinIAS, we have developed some fascinating new research examining the critical period just before and after accounts go into market to look for solutions. We termed this the Brand-to-Demand Zone. It is critical because, as noted earlier, buyers identify four of the five vendors they will evaluate in this very early stage. And, many of the buyers who go into market at this stage, slink right back out of market. If B2B organizations are able to nudge more buyers into market and to keep them there, the volume of deals could be substantially increased.

More to come on this important topic soon!

Appendix 

Methods 

Assigning Buying Journey Stages 

Below is a high-level overview of the 6sense model-building and account scoring methodology.

1. Historical Opportunity Analysis

6sense accesses CRM data to identify historical opportunities—typically accounts that reached mid-stage pipeline (e.g., stages 2–4). 

2. Buyer Signal Integration & Look-Back Analysis 

Each opportunity is matched to a long trail of historical buying signals leading up to pipeline creation. The look-back period, often spanning 6–12 months for enterprise solutions, is selected in consultation with each customer. Data sources include: 

• First-party marketing automation and CRM interaction data 
• Web analytics (anonymous and known users) 
• Third-party intent signals, syndicated content consumption, and review platform activity (e.g., G2, TrustRadius, Bombora) 
• 6sense’s proprietary intent network 

3. Predictive Modeling 

Using this historical data, 6sense trains machine learning models to detect patterns of behavior that differentiate pipeline-creating accounts from those that did not progress.

4. Probability Scoring & Stage Assignment 

Target accounts are then continuously monitored and assigned a probability score—reflecting their likelihood of converting to opportunity within 90 days. These scores are based not just on volume of engagement, but on pattern, density, and recency of interactions, benchmarked against historical journeys. 

Accounts are dynamically assigned to one of five stages: 

A key feature of this approach is its treatment of behavioral context. A single spike in activity may signal early curiosity but not a real buying motion. By contrast, sustained engagement across channels and personas more reliably indicates momentum toward a purchase decision.

On the Sampling Approach

For this study, we employed a point-in-time snapshot approach: the stage distribution for each customer was captured at a single moment. While any given customer may have more accounts in early or late stages based on their market timing or campaign calendar, the large sample size (594 companies) helps ensure that individual anomalies or skews are normalized across the dataset. 

This snapshot method is appropriate because the core research question is: how many accounts are showing signs of active buying behavior at any given time? Rather than needing to follow each customer over a full year, we leverage 6sense’s real-time stage scoring (which is itself based on long behavioral look-backs) to assess buyer readiness across the total market landscape at that moment.