B2B Sales Statistics: 40+ Verified Data Points on Cycles, Buying Groups, Quota, and AI for 2026

This briefing collects verified B2B sales statistics on six things that decide modern revenue outcomes: how long deals take, how often reps hit quota, how large and self-directed buying groups have become, how many touches it takes to start a deal, how fast AI is entering the sales workflow, and how much selling now happens virtually. Every number below is attributed to its publisher and year, with a direct link near the claim. Most figures come from self-reported vendor surveys, so we flag sample sizes and method limits rather than presenting any single number as ground truth.

Executive Summary

• Sales reps spend only 30% of an average week actively selling, down from 28% in the 2022 measurement, with the other 70% going to non-selling tasks (Salesforce, State of Sales 6th Edition, 2024, 27 countries). Source
• An average of 13 people are now involved in a typical organizational B2B buying decision (Forrester, The State of Business Buying, 2024, global). Source
• 67% of B2B buyers prefer a rep-free buying experience, up from 61% the prior year (Gartner survey of nearly 650 buyers, fielded 2025, released March 2026). Source
• 86% of B2B purchases stall during the buying process and 81% of buyers are dissatisfied with their chosen provider (Forrester, The State of Business Buying, 2024, global). Source
• It takes an average of 8 touches to secure an initial meeting with a new prospect, while top performers average 5 (RAIN Group, Top Performance in Sales Prospecting, 489 sellers). Source
• 81% of sales teams say they use AI today (Salesforce, State of Sales 6th Edition, 2024, 5,500 professionals). Source
• 91% of sales professionals say win and close rates held steady or improved in 2025 (HubSpot, 2025 State of Sales Report, 1,000+ global professionals). Source
• Forrester predicts more than half of large B2B transactions of US$1 million or greater will be processed through digital self-serve channels in 2025 (Forrester, Predictions 2025). Source

Key Findings

• Reps spend 30% of an average week selling and 70% on non-selling tasks such as data entry, prioritizing leads, and generating quotes (Salesforce, State of Sales 6th Edition, 2024). Source
• The 30% selling-time figure is virtually unchanged from the 2022 State of Sales report, when reps spent 28% of their time selling (Salesforce, 2024). Source
• The average B2B buying decision now involves 13 people across the organization (Forrester, The State of Business Buying, 2024). Source
• 89% of B2B purchases involve two or more departments (Forrester, The State of Business Buying, 2024). Source
• 67% of B2B buyers prefer a rep-free buying experience in the latest Gartner reading, up from 61% a year earlier (Gartner, released March 2026; June 2025). Source
• 45% of B2B buyers reported using AI tools during a recent purchase (Gartner survey of nearly 650 buyers, released March 2026). Source
• 86% of B2B purchases stall during the buying process (Forrester, The State of Business Buying, 2024). Source
• It takes an average of 8 touches to get an initial meeting with a new prospect, and top performers do it in 5 (RAIN Group, Top Performance in Sales Prospecting). Source
• Top-performing prospectors convert 52 of every 100 target contacts to a meeting versus 19 for the rest, a 2.7x advantage (RAIN Group, Top Performance in Sales Prospecting, 489 sellers). Source
• 81% of sales teams say they use AI today (Salesforce, State of Sales 6th Edition, 2024). Source
• 37% of HubSpot-surveyed reps use AI tools, the most-used sales tool category, while only 8% reported using no AI at all (HubSpot, 2025 State of Sales Report). Source
• 91% of sales professionals report win rates are stable or improving and 93% say average deal sizes are holding or growing (HubSpot, 2025 State of Sales Report). Source
• Almost 40% of sellers say they have closed deals over US$500,000 without meeting the buyer face to face (LinkedIn, State of Sales Report 2022). Source
• The average B2B buying committee comprises about 6.8 people in LinkedIn’s reading (LinkedIn, State of Sales Report 2022). Source
• More than half of large B2B transactions of US$1 million or greater are expected to flow through digital self-serve channels in 2025 (Forrester, Predictions 2025). Source

Sales Cycle Length and Deal Stalls

The single most consistent finding across publishers is that B2B deals have gotten harder to close, not because of price alone but because more people, more steps, and more independent research sit between first contact and signature. Stall rates are now a headline metric in their own right.

86% of B2B purchases stall during the buying process, according to Forrester’s State of Business Buying, 2024 (global). Source: Forrester, 2024. 81% of buyers report dissatisfaction with the provider they chose, which suggests friction does not end at the close (Forrester, 2024). The mechanical driver is committee size: an average of 13 people are now involved in an organizational buying decision, and 89% of purchases pull in two or more departments (Forrester, The State of Business Buying, 2024). What this means in practice is that cycle length is a function of consensus, and every added stakeholder adds a veto point. Note that Forrester’s press materials do not publish a single average cycle-length figure in days, so any specific day count circulating online should be treated as a secondary estimate rather than a Forrester primary statistic.

Win Rates and Quota Attainment

Quota attainment is where vendor surveys diverge most, because it is highly sensitive to how the question is framed (annual quota hit, on-track this period, win rate trend). We separate the figures by source and framing rather than blending them.

Salesforce reports that reps are struggling to hit quota and that lower quota attainment may signal that revenue gains are thinner than headline numbers suggest (Salesforce, State of Sales 6th Edition, 2024). Source: Salesforce, 2024. On the win-rate side, HubSpot’s 2025 reading is more upbeat: 91% of sales professionals say win and close rates were stable or improving, and 93% say average deal size held or grew (HubSpot, 2025 State of Sales Report, 1,000+ professionals). Source: HubSpot, 2025. 59.9% of teams in HubSpot’s survey were on track to meet or surpass revenue targets, and 68% reported improved lead quality year over year (HubSpot, 2025). The tension between Salesforce’s quota-pressure framing and HubSpot’s stable-win-rate framing is real and worth flagging: stable win rates can coexist with weak quota attainment if quotas were raised or pipeline volume fell.

Buying Group Size and Stakeholders

The number of people in a B2B decision is the metric that best explains why everything else got slower. Different surveys produce different averages because they count different roles, so the spread itself is the insight.

Forrester puts the average organizational buying decision at 13 people (Forrester, The State of Business Buying, 2024). Source: Forrester, 2024. LinkedIn’s State of Sales Report 2022 cites a smaller average buying committee of about 6.8 people, a figure that counts active decision-makers rather than everyone touched by the purchase (LinkedIn, 2022). Source: LinkedIn, 2022. The gap between roughly 7 and 13 is not a contradiction so much as a definitional difference: narrow decision-maker counts versus broad participant counts. 89% of Forrester-surveyed purchases involve two or more departments, which is the structural reason committee counts keep climbing (Forrester, 2024). The practical takeaway is that any go-to-market plan built around a single champion is mismatched to how purchases actually get approved.

Touches and Prospecting Effort

Prospecting is the part of the funnel with the cleanest benchmark data, because RAIN Group measures it directly against outcomes rather than self-perception.

It takes an average of 8 touches to get an initial meeting with a new prospect (RAIN Group, Top Performance in Sales Prospecting). Source: RAIN Group. Top performers reach that meeting in 5 touches on average, which compounds over a quarter of activity (RAIN Group). The conversion gap is the striking part: top performers turn 52 of every 100 target contacts into meetings versus 19 for the rest, a 2.7x difference (RAIN Group, 489 sellers). The interpretation is that touch count and conversion quality move together, so adding touches without improving relevance does not close the gap. RAIN Group’s prospecting research is seller-reported, so treat the touch counts as planning benchmarks rather than guaranteed response curves.

AI Adoption in Sales

AI is the fastest-moving variable in these datasets, and adoption figures vary widely by how the question is asked (team uses AI vs individual rep uses AI vs uses AI daily).

81% of sales teams say they use AI today (Salesforce, State of Sales 6th Edition, 2024, 5,500 professionals across 27 countries). Source: Salesforce, 2024. At the individual level the number is lower: 37% of HubSpot-surveyed reps use AI tools, though that still made AI the single most-used tool category, and only 8% reported no AI use at all (HubSpot, 2025 State of Sales Report). Source: HubSpot, 2025. On perceived value, 84% of HubSpot respondents say AI saves time and optimizes processes and 82% say it surfaces better insights from data (HubSpot, 2025). On the buyer side, 45% of B2B buyers reported using AI tools during a recent purchase, which means AI is now reshaping both sides of the table (Gartner, released March 2026). Source: Gartner, 2026. The team-level 81% and rep-level 37% are both correct for their respective questions; the gap reflects that team experimentation outpaces individual daily use.

Buyer Behavior and Rep-Free Selling

The clearest secular trend is buyers wanting less contact with sellers, not more, especially early in the journey. Gartner has tracked a rising preference for self-directed buying for several years.

67% of B2B buyers prefer a rep-free buying experience in Gartner’s latest reading, up from 61% the year before (Gartner survey of nearly 650 buyers, released March 2026). Source: Gartner, 2026. Forrester predicts more than half of large B2B transactions of US$1 million or greater will be processed through digital self-serve channels in 2025, a threshold that would have been unthinkable for enterprise deals a decade ago (Forrester, Predictions 2025). Source: Forrester, 2025. The nuance is that rep-free preference does not mean rep-irrelevant: Gartner’s own follow-on research finds buyers still turn to reps to validate AI-generated insights, so the role shifts toward verification rather than information delivery. For teams designing a modern motion, our note on the modern B2B sales process covers how self-service and assisted selling can coexist in one pipeline.

Virtual and Remote Selling

Virtual selling stopped being an emergency adaptation and became a default channel, including for large deals that once required in-person closing.

Almost 40% of sellers say they have closed deals over US$500,000 without ever meeting the buyer face to face (LinkedIn, State of Sales Report 2022). Source: LinkedIn, 2022. The behavioral root of this shift shows up in Forrester’s channel data: B2B buyers now move across many self-directed and human interactions, and the self-directed share has risen sharply since the prior decade (Forrester, B2B buying research). The LinkedIn 2022 figures are now several years old, so they establish that high-value virtual closing is normalized rather than giving a current-year rate; treat them as directional. The combined picture from LinkedIn and Forrester is that geography is no longer the constraint on deal size that it was before 2020.

Original Synthesis

The following three insights are derived by combining the verified figures above. Each states its formula, inputs, and limits, and none should be read as a precise measurement.

1. The stakeholder-to-stall ratio. Logic: pair Forrester’s 13-person average buying group with its 86% stall rate to express stalls per added stakeholder. Inputs: Forrester, The State of Business Buying, 2024 (13 people; 86% stall). Derivation: with 86% of purchases stalling against a 13-person committee, stalls are effectively the base case once a buying group passes single digits, not the exception. Limitation: Forrester does not publish a stall rate broken out by committee size, so this is an association across two aggregate figures from the same survey, not a per-stakeholder regression.

2. The selling-time efficiency gap. Logic: combine Salesforce’s 30% selling-time figure with RAIN Group’s 8-touch meeting benchmark to estimate how thin prospecting capacity really is. Inputs: Salesforce 2024 (30% of week selling); RAIN Group (8 touches per meeting). Derivation: if only 30% of a 40-hour week, roughly 12 hours, is true selling, and each new meeting costs 8 deliberate touches, prospecting competes directly with active-deal work inside a small fixed budget, which helps explain why top performers who convert at 52% are so disproportionately productive. Limitation: the two figures come from different surveys with different populations and are not directly comparable; this is an illustrative model, not a measured throughput.

3. The adoption-versus-usage spread in AI. Logic: contrast Salesforce’s 81% team-level AI use with HubSpot’s 37% rep-level use to quantify the experimentation gap. Inputs: Salesforce 2024 (81% of teams use AI); HubSpot 2025 (37% of reps use AI tools). Derivation: the roughly 44-point spread between team-level and rep-level figures indicates that AI is widely sanctioned at the team level but unevenly adopted at the desk, which is the gap most likely to determine which firms convert AI investment into quota outcomes. Limitation: the two surveys ask different questions of different samples in different years, so the spread is indicative of a real adoption-usage gap but is not a like-for-like subtraction.

Tables

Table sources: Salesforce State of Sales 6th Edition (2024), Forrester State of Business Buying (2024) and Predictions 2025, Gartner sales survey (released March 2026), LinkedIn State of Sales Report 2022, RAIN Group Top Performance in Sales Prospecting. Links appear next to each claim in the sections above.

Methodology note: sample sizes and scopes above are as published by each source; see Methodology section for limitations.

Charts to build

• Selling time vs non-selling time, 2022 vs 2024. Data needed: Salesforce 28% (2022) and 30% (2024) selling-time figures. Source: Salesforce State of Sales. Insight: despite a tooling boom, productive selling time barely moved. Citation-worthy because it quantifies a productivity problem with a clean two-point trend.
• Buying group size by source. Data needed: Forrester 13, LinkedIn ~6.8. Source: Forrester 2024, LinkedIn 2022. Insight: the definitional spread between participant counts and decision-maker counts. Citation-worthy because it warns readers against citing a single committee-size number.
• Rep-free preference over time. Data needed: Gartner 61% then 67%. Source: Gartner 2025 and 2026 releases. Insight: a rising, durable shift toward self-directed buying. Citation-worthy because it is a same-publisher year-over-year comparison.
• Touches to first meeting, all sellers vs top performers. Data needed: RAIN Group 8 vs 5 touches and 19% vs 52% conversion. Source: RAIN Group. Insight: efficiency and effectiveness move together. Citation-worthy because it ties effort to measured outcomes.
• AI use: team level vs rep level. Data needed: Salesforce 81% vs HubSpot 37%. Source: Salesforce 2024, HubSpot 2025. Insight: the adoption-versus-usage gap. Citation-worthy because it reframes a simple adoption headline.

Simple inline chart, rep-free buying preference, Gartner:

Chart data source: Gartner sales surveys, June 2025 and March 2026 press releases.

Methodology

Source selection prioritized the original publisher of each statistic over aggregator blog posts. We included a figure only when we could trace it to a named report and year from Salesforce, HubSpot, Gartner, Forrester, LinkedIn, or RAIN Group, and we read the primary press release or report where accessible. We excluded round numbers that appeared only on secondary sites without a traceable primary source, including any specific sales-cycle day count, because no named publisher above states one in its primary materials. When two sources disagreed (for example buying group size of 13 vs 6.8), we kept both and explained the definitional difference rather than averaging them. Derived insights in the Original Synthesis section are explicitly labeled, combine published figures only, and carry stated limitations. Last updated June 2026.

Source Quality

Tier 1 (primary research with published methodology): Salesforce State of Sales 6th Edition (5,500 professionals, 27 countries, dated fielding window); Forrester State of Business Buying 2024 and Predictions 2025; Gartner sales surveys (sample size and analyst attribution disclosed); RAIN Group Top Performance in Sales Prospecting (489 sellers). Tier 2 (credible vendor or market research with lighter public methodology): HubSpot 2025 State of Sales Report (1,000+ professionals); LinkedIn State of Sales Report 2022. Tier 3 (reputable secondary coverage used only to locate primary figures): Demand Gen Report and Digital Commerce 360 coverage of the Gartner releases. All Tier 1 and Tier 2 sources are self-reported surveys, which is the central limitation noted throughout.

Most Quotable Statistics

• Sales reps spend just 30% of their week actually selling (Salesforce, 2024).
• 13 people, on average, weigh in on a B2B buying decision (Forrester, 2024).
• 67% of B2B buyers would rather buy without a rep (Gartner, 2026 release).
• 86% of B2B purchases stall before the finish line (Forrester, 2024).
• It takes 8 touches to land a first meeting, 5 if you are a top performer (RAIN Group).

Data Limitations

Every headline figure here comes from a self-reported survey, so respondents may overstate AI value or under-report quota misses. Sample sizes range from roughly 490 (RAIN Group) to 5,500 (Salesforce), and larger samples are not automatically more representative because panels differ by industry and region. Several figures (LinkedIn 2022, RAIN Group prospecting research) are not current-year readings and are presented as directional. Buying-group averages are definition-dependent and should never be cited as a single universal number. Forrester’s press materials do not publish an average cycle length in days, so any such figure attributed to this briefing would be unsupported.

Recommended Dataset Fields

For a downloadable CSV companion, recommended columns: metric_name, metric_value, unit, publisher, report_name, report_year, fielding_window, sample_size, geography, metric_framing, tier, source_url, last_verified_date, notes_limitation.

Press Summary

B2B selling in 2026 is defined by friction on both sides of the table. Sellers spend only 30% of the week actually selling, barely changed from 28% two years earlier, while the typical purchase now pulls in 13 stakeholders and stalls 86% of the time, according to Salesforce and Forrester. Buyers increasingly want to be left alone early: 67% prefer a rep-free experience in Gartner’s latest reading, and 45% used AI during a recent purchase. Yet the role of reps has not vanished, it has shifted toward verifying machine-generated information. AI is widely sanctioned, with 81% of teams using it per Salesforce, though rep-level daily use lags at 37% per HubSpot. Prospecting still rewards persistence and relevance: it takes 8 touches to win a first meeting, and top performers convert at 2.7 times the rate of the rest, per RAIN Group. The throughline is that consensus, not contact, now governs B2B revenue.

Suggested Headlines

• Reps Spend Just 30% of the Week Selling, and It Has Barely Budged Since 2022
• 13 People, 86% Stall Rate: The New Math of B2B Deals
• Two-Thirds of B2B Buyers Now Prefer to Buy Without a Rep
• AI Is Everywhere in Sales Teams and Still Missing From Most Desks
• It Takes 8 Touches to Get a Meeting, and Top Performers Need Only 5

FAQ

How much of a sales rep’s time is actually spent selling? About 30% of an average week, with 70% on non-selling tasks (Salesforce, State of Sales 6th Edition, 2024).

How many people are involved in a B2B buying decision? An average of 13 in Forrester’s reading, or about 6.8 active decision-makers in LinkedIn’s narrower count (Forrester 2024; LinkedIn 2022).

What share of B2B purchases stall? 86% stall during the buying process (Forrester, State of Business Buying, 2024).

Do B2B buyers want to deal with sales reps? 67% prefer a rep-free buying experience, up from 61% a year earlier (Gartner, released March 2026).

How many touches does it take to get a first meeting? An average of 8, or 5 for top performers (RAIN Group, Top Performance in Sales Prospecting).

How much better do top prospectors convert? They turn 52 of every 100 contacts into meetings versus 19 for the rest, 2.7x more (RAIN Group).

How widely is AI used in sales? 81% of sales teams use AI, though only 37% of individual reps report using AI tools (Salesforce 2024; HubSpot 2025).

Are buyers using AI too? 45% of B2B buyers used AI tools during a recent purchase (Gartner, released March 2026).

Are win rates falling? 91% of sales professionals say win and close rates were stable or improving in 2025 (HubSpot, 2025 State of Sales Report).

Can large deals close without meeting in person? Almost 40% of sellers have closed deals over US$500,000 without a face-to-face meeting (LinkedIn, State of Sales Report 2022).

For deeper benchmarking we publish ongoing growth research at CO Consulting. If you want help applying these benchmarks to your own pipeline, you can book a consultation.

Related research

• B2B Marketing
• Sales Enablement
• Public Relations (PR)
• Ecommerce Marketing
• Affiliate Marketing