17 B2B Sales Statistics for 2026, With Sources and Benchmarks
A practical perspective for connecting this idea to your revenue team’s next move.
The most useful B2B sales statistics for 2026: 67% of B2B buyers prefer a rep-free experience (Gartner, March 2026), a typical purchase involves 13 internal stakeholders (Forrester, January 2026), buyers first contact sellers 61% of the way through their journey (6sense, November 2025), and only 48% of account executives reach quota (Bridge Group, June 2026).
Below are 17 statistics, each linked to the study we opened, with its publisher, date and sample. They are grouped by buyers, sellers, AI and prospecting. After them comes a separately labelled section with Revspire’s own benchmarks from customer data, then a method for comparing your team. The page covers research published between February 2024 and October 2026.
Last updated: 16 October 2026
B2B sales statistics at a glance: 17 benchmarks for 2026
Each row links to the primary source. Sample sizes differ widely, and so do definitions (a “buyer journey” in a buyer survey is not the same as an “opportunity” in a CRM), so read the sample column before comparing two numbers.
#
Statistic
Source and date
Sample
1
67% of B2B buyers prefer a buying experience without a sales rep
646 B2B buyers, August-September 2025
2
51% of software buyers now start research with an AI chatbot more often than with Google, up from 29% in G2’s 2025 report
1,076 B2B software buyers, March 2026
3
Buyers first contact a seller 61% of the way through their buying journey, down from 69%
Nearly 4,000 B2B buyers
4
Buyers, not sellers, initiate 79% of first contacts
Nearly 4,000 B2B buyers
5
Buyers buy from the vendor they ranked first before contacting sellers 77% of the time
Nearly 4,000 B2B buyers
6
The average B2B buying cycle lasts 10.1 months, down from 11.3 in 2024
Nearly 4,000 B2B buyers
7
A typical buying decision involves 13 internal stakeholders and nine external influencers
Forrester Buyer Insights survey (size not stated in the release)
8
86% of B2B purchases stall during the buying process
Forrester Buyer Insights survey (size not stated in the release)
9
48% of account executives are at quota, down from 51% in 2024
The Bridge Group, 22 June 2026
158 B2B companies, Q1-Q2 2026
10
New account executives take 6.2 months on average to ramp, the longest in the study’s history
The Bridge Group, 22 June 2026
158 B2B companies, Q1-Q2 2026
11
78% of sellers missed quota, up from 69% a year earlier
$48 billion of pipeline data and 2,000 CROs
12
60% of SDRs are at quota, the lowest in the study’s history, and annual SDR attrition is 40%
The Bridge Group, 6 February 2025
351 B2B companies
13
Sales reps spend 40% of their working week selling and 60% on other work
Salesforce State of Sales, 7th edition, 2026
4,050 sales professionals, 22 countries, August-September 2025
14
54% of sales teams use AI agents today and another 34% expect to within two years
Salesforce State of Sales, 7th edition, 2026
4,050 sales professionals
15
57% of reps are at quota in companies with the highest AI engagement, against 39% in the lowest
The Bridge Group, 22 June 2026
158 B2B companies (observational)
16
40-60% of lost deals end in no decision
2.5 million recorded sales conversations
17
The average cold email reply rate is 4.5%
30.3 million cold emails sent in 2026
Third-party research only. Revspire’s own benchmarks are in a separate section below. Sources checked 16 October 2026.
What do B2B buyers do before they talk to sales?
Most of the decision is made before a seller is invited in. In Gartner’s survey of 646 B2B buyers, published 9 March 2026, 67% said they prefer a rep-free experience and 45% had used AI during a recent purchase. The same release reports that confident buyers were twice as likely as low-confidence buyers to report a high-quality deal, which is a useful reminder that “rep-free” does not mean “help-free”.
The 6sense 2025 B2B Buyer Experience Report (November 2025), based on nearly 4,000 buyers, shows how far the shortlist is set before first contact:
- Buyers first contacted a seller 61% of the way through the journey, down from 69% in earlier editions. 58% said they engaged sellers earlier to evaluate vendors’ AI capabilities, and about 62% because of economic uncertainty.
- Buyers initiated 79% of first contacts, and 94% had ranked their shortlist before speaking to any vendor.
- The vendor buyers ranked first at the end of their selection phase, before contacting sellers, won 77% of the time, down from 83% in prior years.
- Buyers evaluated about five vendors (5.1 on average), and 94% used large language models somewhere in the process.
AI assistants are becoming the first stop. G2’s “Answer Economy” research (15 April 2026), a survey of 1,076 B2B software buyers in March 2026, found that 51% start research with an AI chatbot more often than with Google, up from 29% in G2’s 2025 report, and 71% use a chatbot at some point. G2 sells review and buyer-intent services, so read its findings on review sites with that in mind.
What to do with these numbers: if buyers make 79% of first contacts, being on the day-one shortlist matters more than outbound volume. Publish answers to the questions buyers ask before contact (pricing model, security, implementation effort, proof) where both search engines and AI assistants can read them, and give your champion material they can forward internally.
How many people are in a B2B buying group?
Forrester’s State of Business Buying, 2026 (21 January 2026) puts a typical buying decision at 13 internal stakeholders plus nine external influencers, with more on complex purchases. Procurement is a decision-maker in 53% of buying cycles, more than 60% of buyers use a trial, and 78% of buyers making purchases of $10 million or more run a trial first.
Purchases also stall. In Forrester’s State of Business Buying, 2024 (4 December 2024), 86% of purchases stalled at some point, 89% involved two or more departments, and 81% of buyers were dissatisfied with the provider they chose.
Sellers usually see only a fraction of that group. Flowla’s analysis of more than 30,000 digital sales rooms (17 February 2026) counted an average of 2.9 stakeholders per room, which Flowla itself calls an undercount, and reports that about 48% of the rooms created never get any engagement. Flowla sells deal-room software, so treat it as one vendor’s data. The gap between 13 people deciding and two or three people engaging is the core argument for mapping the whole buying committee early.
How long is the average B2B sales cycle?
It depends on who is measuring. Buyers in the 6sense 2025 report (November 2025) described an average buying cycle of 10.1 months, down from 11.3 months in 2024, and 49% said economic conditions had shortened their cycle. That clock starts when the buyer begins looking, long before a seller opens an opportunity.
Sellers feel the opposite trend. In Salesforce’s State of Sales, 7th edition (2026), fielded with 4,050 sales professionals in August and September 2025, 57% said customers take longer to decide than they used to, 67% said customers require extensive education, and 69% said measurable ROI matters more to customers than a year earlier.
CRM-measured cycles are much shorter than buyer-reported ones because they start at opportunity creation. Revspire’s own opportunity-level medians by deal size are in the Revspire benchmarks section below. Compare your cycle to a benchmark that starts its clock at the same point.
What percentage of sales reps hit quota?
For account executives, fewer than half on current measures, though the exact figure depends on the study’s definition:
- Account executives: The Bridge Group’s AE Models, Motions & Metrics report (22 June 2026), an online survey of revenue leaders at 158 B2B companies in Q1-Q2 2026, found 48% of reps at quota, down from 51% in 2024. Median AE quota was $960K against a median on-target earnings of $200K, a 4.6x ratio, and average ramp time rose to 6.2 months, the highest in the study’s history.
- Sellers overall: Ebsta’s 2025 GTM Benchmarks (22 April 2025), built on $48 billion of pipeline data and a survey of 2,000 CROs, reported that 78% of sellers missed quota, up from 69% a year earlier, and that top performers close deals 11 times faster than lower performers.
- SDRs: The Bridge Group’s SDR report (6 February 2025), covering 351 companies, found 60% of SDRs at quota, the lowest in the study’s history, with a 3.0-month ramp, 1.9 years’ average tenure and 40% annual attrition.
Why the gap between 48% at quota and 78% missing it? Bridge Group asks revenue leaders what share of their reps reached quota; Ebsta combines pipeline data with a CRO survey, and its release does not define attainment. You cannot put the two in one trend line. Pick one definition (share of ramped reps at or above 100% of annual quota is a common choice) and compare only against studies that use it.
How much time do sales reps spend selling?
Reps spend 40% of their working week selling and 60% on other work such as data entry and prospecting, according to Salesforce’s State of Sales, 7th edition (2026). The same report found that 42% of reps feel overwhelmed by too many tools, and that teams running a mix of standalone tools use eight on average.
Overload has a cost. Gartner’s survey of 1,026 B2B sellers (16 September 2024) found 72% overwhelmed by the number of skills their job requires and 50% by the amount of technology, and overwhelmed sellers were 45% less likely to attain quota. A tool count is not a productivity metric: measure how long it takes a rep to find the right asset, update a deal or prepare for a call.
How are sales teams using AI in 2026?
Adoption is now the norm. In Salesforce’s 7th State of Sales (2026), 54% of sales teams already use AI agents and 34% expect to within two years. The friction is in the foundations: 51% of sales professionals said security concerns had delayed AI initiatives, and 46% of those using agents said data quality issues hurt their sales.
The link to results is real but not proven. The Bridge Group (22 June 2026) found 57% of reps at quota in companies in the top third for AI engagement against 39% in the bottom third, and says plainly that this is observational and likely affected by self-selection. Its respondents rated 10 of 11 AI use cases “hit or miss” more often than anything else. Earlier, Gartner (16 September 2024) reported that sellers who partner effectively with AI tools were 3.7 times more likely to meet quota.
Leaders also say the change is outrunning them: in Highspot’s 2026 Go-to-Market Performance Gap Report (450 GTM leaders in six countries; page updated August 2026), 76% said AI adoption is moving faster than their organization can support.
What are realistic cold email and prospecting benchmarks?
The most recent large dataset we found is Saleshandy’s analysis of 30.3 million cold emails in 40,006 sequences sent through its platform in 2026 (published 7 October 2026). The article dates its sample inconsistently, as July-October in the method and January-June in the reply-rate section. It reports:
- An average reply rate of 4.5%, and a positive reply rate of 3% to 5%.
- An average open rate of 21%, which Saleshandy itself says is becoming an unreliable measure. Judge campaigns on replies and meetings, not opens.
- 57% of positive replies came from follow-ups rather than the first email, and most successful sequences had four to six follow-ups over about three weeks.
- The best-performing send slot was Tuesday, 9-10 AM in the prospect’s own time zone.
For activity benchmarks, The Bridge Group (6 February 2025) reports a median of 112 SDR activities per day (44 calls, 41 emails, 19 LinkedIn touches and 8 others) producing 4.1 quality conversations. Run the arithmetic on your own team: if your reps make far more touches per conversation, the problem is more often the list or the message than effort.
Saleshandy’s figures are platform averages from one vendor’s customers, so they mix good and poor lists. Use them as a floor to beat, and track positive replies and meetings per 100 prospects by segment.
Why do B2B deals stall or end in no decision?
The buyer often does nothing. Research by Matt Dixon and Ted McKenna for The JOLT Effect , summarised by Challenger (22 February 2024), analysed 2.5 million recorded sales conversations and attributes 40-60% of lost deals to no decision. It found medium to high indecision in 87% of deals, and win rates fell to 6% when indecision was high.
Selling-side execution is uneven too. In Highspot’s 2026 Go-to-Market Performance Gap Report, 98% of leaders believed their execution was standardized but only 53% reported highly consistent outcomes; 39% said managers lack the visibility to coach effectively, and 36% said sellers struggle to apply messaging in live conversations. Highspot is now part of Seismic and sells enablement software.
For more third-party research on loss reasons and how CRM data under-records indecision, see Revspire’s collection of win/loss statistics.
Revspire benchmarks: what our own customer data shows
This section is Revspire data, not third-party research. The figures are aggregated, anonymized patterns from Revspire customer workspaces between October 2025 and September 2026, mostly B2B software and technology sellers in the mid-market and enterprise. Each figure is based on at least 10 organizations. They are observed patterns, not proof that a product caused a result: teams that use a deal room or a mutual action plan may also qualify deals more carefully. Each benchmark page explains its method and limitations.
Benchmark
Revspire figure
Sample
Source page
Win rate by deal size (annual contract value)
35% at $10k-$20k, 33% at $20k-$100k, 30% above $100k
About 40 B2B companies, closed CRM opportunities
Median days to close a won deal
20 (under $10k), 45 ($10k-$50k), 90 (above $50k)
About 40 B2B companies
Lost deals tagged “no decision” in the CRM
10%
About 40 B2B companies
Deals with a named competitor
90%; won 30% of the time vs 35% without one
About 40 B2B companies
Win rate with an active digital sales room
35% vs 28% without one
About 40 B2B companies
Unique buyer stakeholders engaged
15 with a deal room vs 1-5 without
About 40 B2B companies
Median days to close with a mutual action plan
20 vs 25, 42 vs 60, 85 vs 120 (by the same three deal-size bands)
About 40 B2B companies
Active sales assets unused for 90 days
35%
About 40 B2B companies
Lowest-scoring sales skills in AI role-play
Closing 3.0 and objection handling 3.2 out of 5
2,000+ scored role-plays, 20 B2B companies
Revspire customer data, October 2025 to September 2026. Observed patterns, not causal effects.
What the Revspire figures add
- No decision is under-recorded. In the win rate and sales cycle benchmark, sellers tagged 10% of lost deals “no decision”, against the 40-60% that call-recording research attributes to indecision. Treat your CRM’s figure as a floor.
- Deal rooms travel and go quiet before deals die. In the digital sales room benchmark, 80% of rooms gained a new viewer after the first share, 80% of buyer views in the last 14 days before a win went to the proposal and implementation plan, and after 20 days with no buyer view the win rate fell below half the overall rate.
- Buyers own few plan steps. In the mutual action plan benchmark, deals with a plan were won 35% of the time against 28% without one, yet buyers owned only 20% of plan milestones.
- Won deals used more content. In the content-to-revenue benchmark, won deals used four more distinct assets than lost deals, and deals that followed a playbook were won 36.9% of the time against 30%.
- The status quo is the hardest objection. In the sales skills gap benchmark, reps scored 4.4 out of 5 on product knowledge but 2.9 against “our current process works fine”, and, in a later cut of the data, 78% of reps passed their certification on the first attempt.
How to benchmark your sales team against these statistics
A statistic is only a benchmark if you measure your own number the same way. Use this sequence:
- Write down the definition first. Win rate = closed-won ÷ (closed-won + closed-lost) for qualified opportunities. Cycle length = median calendar days from opportunity creation to closed-won. Quota attainment = share of ramped reps at or above 100% of annual quota. Our guide to core B2B sales metrics gives formulas for 17 KPIs.
- Segment before you compare. Split deals by annual contract value. A team selling $200k deals should not judge itself against a $15k win rate.
- Use medians and ranges, not averages. A few very long or very large deals distort the mean.
- Match the clock. Compare buyer-reported journeys (6sense) with buyer-side measures, and CRM cycles with CRM benchmarks.
- Pick five numbers, not 17. One per stage of the funnel: positive reply rate, stage conversion, stakeholders engaged per deal, win rate by band and quota attainment.
- Review quarterly and act on the biggest gap. A benchmark is a prompt for a question, not a target in itself.
Worked example (hypothetical numbers): a team selling mostly $30k deals closed 200 qualified opportunities last year and won 50, a 25% win rate, with a median won cycle of 70 days. The relevant Revspire benchmark bands are 33% for win rate ($20k-$100k) and 45 days for cycle ($10k-$50k; the two analyses use different bands). The team is eight points below on win rate and 25 days slower. Before blaming the reps, check the loss reasons: if fewer than one lost deal in ten says “no decision” but call reviews show stalled buyers, the real issue may be indecision, which calls for a sharper business case and a dated mutual plan rather than more pipeline.
Which popular B2B sales statistics did we remove?
Earlier versions of this page, and a “50 B2B stats” post that now redirects here, listed figures without a primary source we could open. We removed them rather than repeat them. Examples:
- “44% of salespeople give up after one follow-up” and “80% of sales need five follow-ups”. We replaced them with measured 2026 follow-up data from Saleshandy above.
- “High performers use three times more sales tech” and “social sellers are 51% more likely to hit quota”. Neither post named a source for them.
- Exact “best time to send” claims (8 AM and 3 PM). Replaced with the measured send slot from a named dataset.
- A claim that Revspire users shorten their sales cycle by a fixed percentage, which had no published data behind it.
If you quote a statistic in a board deck, open the original study and check its sample, date and definition. Some widely shared numbers trace back to a blog post, not a study.
Frequently asked questions
What is a good B2B sales win rate?
It depends on deal size and how you count. In Revspire’s 2026 customer benchmark, B2B software teams won 35% of closed deals at $10k-$20k and 30% above $100k. Research on 2.5 million sales calls summarised by Challenger in February 2024 found win rates fell to 6% when buyer indecision was high, so a deal can be lost to inaction as well as to a competitor.
How long is the average B2B sales cycle?
Buyers in 6sense’s November 2025 report described an average buying cycle of 10.1 months, measured from when they started looking. CRM-measured cycles are shorter: in Revspire’s 2026 data, the median won deal closed in 20, 45 or 90 days from opportunity creation, depending on deal size.
What percentage of B2B sales reps hit quota?
The Bridge Group’s June 2026 survey of 158 companies found 48% of account executives at quota, down from 51% in 2024. Ebsta’s 2025 benchmarks (April 2025) reported that 78% of sellers missed quota. The two studies define and measure attainment differently, so compare your team to one of them, not both.
How many stakeholders are in a B2B buying decision?
Forrester’s State of Business Buying, 2026 (January 2026) puts a typical decision at 13 internal stakeholders plus nine external influencers, and procurement is a decision-maker in 53% of buying cycles. Most sellers engage far fewer people directly, which is why stakeholder mapping matters.
What is a good cold email reply rate in 2026?
Saleshandy’s analysis (7 October 2026) of 30.3 million cold emails sent in 2026 found an average reply rate of 4.5% and a positive reply rate of 3-5%. More than half of positive replies came from follow-ups, and most successful sequences in that dataset had four to six follow-ups.
How much of the buyer journey happens before buyers contact sales?
6sense’s 2025 report (November 2025) found buyers make first contact 61% of the way through their journey, and buyers initiate 79% of first contacts. Gartner’s March 2026 survey found 67% of B2B buyers prefer a rep-free experience.
For more data like this, browse Revspire’s research and benchmark library, which collects third-party statistics by topic alongside Revspire’s own customer benchmarks.
Sources
- Gartner Sales Survey Finds 67 Percent of B2B Buyers Prefer a Rep-Free Experience, Gartner, 9 March 2026. Accessed 16 October 2026.
- The Answer Economy: How AI Search Is Rewiring B2B Software Buying, G2 (Tim Sanders), 15 April 2026. Accessed 16 October 2026.
- 2025 B2B Buyer Experience Report, 6sense, November 2025. Accessed 16 October 2026.
- Forrester: The State of Business Buying, 2026, Forrester, 21 January 2026. Accessed 16 October 2026.
- Forrester: The State of Business Buying, 2024, Forrester, 4 December 2024. Accessed 16 October 2026.
- State of Digital Sales Rooms in 2026: Trends and Best Practices, Flowla (Elen Udovichenko), 17 February 2026, updated 2 April 2026. Accessed 16 October 2026.
- State of Sales, 7th edition, Salesforce, 2026 (survey fielded August-September 2025). Accessed 16 October 2026.
- AE Models, Motions & Metrics: 2026 Research Report, The Bridge Group (Matt Bertuzzi), 22 June 2026. Accessed 16 October 2026.
- SDR Models, Motions & Metrics: 2025 Research Report, The Bridge Group (Matt Bertuzzi), 6 February 2025. Accessed 16 October 2026.
- Ebsta Unveils 2025 GTM Benchmarks Report, Ebsta (Amy Cook), 22 April 2025. Accessed 16 October 2026.
- Gartner Sales Survey Reveals Sellers Who Partner With AI Are 3.7 Times More Likely to Meet Quota, Gartner, 16 September 2024. Accessed 16 October 2026.
- 2026 Go-to-Market Performance Gap Report, Highspot (part of Seismic), 2026 (page updated 19 August 2026). Accessed 16 October 2026.
- Losing to Customer Indecision, Challenger, 22 February 2024 (research for The JOLT Effect by Matt Dixon and Ted McKenna). Accessed 16 October 2026.
- I Analyzed 30.31 Million Cold Emails. Here Are 13 Statistics That Matter in 2026, Saleshandy (Dhruv Patel), 7 October 2026. Accessed 16 October 2026.
- Revspire benchmarks (Revspire customer data, October 2025 to September 2026): win rate and sales cycle, digital sales rooms, mutual action plans, content to revenue, sales skills gap, Revspire, 16 October 2026. Accessed 16 October 2026.