I run marketing at Storylane, and in internal Storylane deal data, the average buying account has 23 contacts. The average sales call has 2.3 people on it. A vendor learns about the buyer from those 2.3 people. Most of the decision is made by the other twenty.
That gap sums up B2B buying in 2026. Buyers do their research at night, before they contact you, and mostly without the people who will sign. I call this the unattended path. It is the part of the buyer journey where nobody from the vendor is in the room. Every company has one. These statistics help you check whether yours was designed or just happened.
This page collects the numbers from Storylane's Modern Buying Trends 2026 report in one place, with the sample behind each one. If you want stage-by-stage frameworks, read our guides to the B2B buyer journey, the B2B customer journey and the B2B buying process. This page is the evidence underneath them.
Where do these B2B buyer journey statistics come from?
None of this is a survey. Every figure is internal Storylane data from first-party records. That means conversations buyers had with RepX (Storylane's AI website agent) on customer websites, recorded sales calls, and deal outcomes. Surveys measure what buyers say they do. These records show what they actually did.
| Internal Storylane dataset | Size | What it measures |
|---|---|---|
| RepX website conversations | 8,211 conversations, 26,382 questions, 19 deployments, June 2025 to August 2026 | What buyers ask with no rep present |
| Human discovery calls | 402 calls, 5,687 prospect questions | What buyers ask with a rep present |
| Deal outcomes | About 68,000 deals (about 50,000 closed) across 20+ anonymized B2B SaaS pipelines | Win rate, people reached and deal size, with and without demo access |
| Buying committees | 637 mid-market and enterprise deals, 2,021 calls, 6,187 invitations | Who is at the account and who joins calls |
| Product access calls | 300 recorded conversations with about 150 software companies, 18 August to 10 September 2026 | Why sellers can't hand over a trial |
| Hand-coded question topics | 4,017 messages, 810 conversations, 5 deployments, 15 categories | The mix of questions |
| Storylane's own pipeline | 1,167 closed-won deals, with cycle length from a 75-deal subset | Effort and revenue by deal size |
Two limits apply to everything below. The RepX data comes from companies that chose to put an AI agent on their site. So it describes buyers who started a conversation, not buyers who left. And nothing here reaches buyers who never engaged at all.
What share of B2B buyers research outside business hours?
51.4% of RepX website conversations started outside Monday to Friday, 9am to 6pm, in the buyer's own local time. That is the share of a 1,332-conversation subset of internal Storylane RepX data where the buyer's location could be resolved to a local time zone. It equals 100% minus the 48.6% of those conversations that started between 9am and 6pm on a weekday.
| When the conversation started (buyer's local time) | Share of the 1,332 conversations |
|---|---|
| Weekdays, 9am to 6pm | 48.6% |
| Weekdays, 6am to 9am | 19.6% |
| Weekdays, 10pm to 6am | 14.3% |
| Weekends | 12.9% |
| Weekdays, 6pm to 10pm | 4.7% |
You might assume off-hours traffic is idle browsing. It isn't. Average conversation length and qualification rate were the same in and out of business hours. The biggest off-hours block is early morning, before the workday starts. That looks like people doing research they can't fit into a day full of meetings.
What do B2B buyers ask before they talk to sales?
Pricing is the most common buyer question on a B2B website, at 23.1% of questions. Feature and capability checks come next, at 19.3%. Together they make up 42% of what buyers asked RepX, in internal Storylane data. These are shortlisting questions. On most websites, nobody at the company ever sees them.
| Question topic | Share of questions |
|---|---|
| Pricing, plans and packaging | 23.1% |
| Feature and capability checks | 19.3% |
| Integrations and ecosystem | 9.9% |
| Demo, trial and direct access | 8.8% |
| Testing the agent itself | 7.9% |
| Product overview and terminology | 7.6% |
| Onboarding, setup and service | 6.8% |
| Competitive comparison | 5.1% |
| Trust, security and compliance | 1.5% |
Base is 2,225 messages that contained a question, out of 4,017 hand-coded messages across 810 conversations and five deployments. Six smaller categories are left out of the table. Treat the ranking as a rough shape, not a benchmark. Pricing ranged from 6.0% of questions at one company to 37.4% at another.
The most useful number here is the smallest one. Trust, security and compliance is just 1.5% of questions, even though many companies put early content effort there. The people who ask those questions haven't joined the conversation yet. They show up later, in procurement.
Do buyers ask an AI agent different questions than a sales rep?
Yes, and they sort the questions themselves. Here are 26,382 questions asked of RepX next to 5,687 prospect questions from 402 human discovery calls, both from internal Storylane data.
| Topic (share of all questions) | Asked of RepX | Asked on a human call |
|---|---|---|
| Pricing and commercial | 42.4% | 32.1% |
| Competitor comparison | 15.4% | 10.8% |
| Integrations and data | 16.5% | 29.7% |
| Implementation and onboarding | 9.2% | 13.1% |
| Security, privacy and legal | 4.0% | 4.8% |
Pricing was the very first question 9.4% of the time with RepX and 2.5% of the time on a human sales call. On a call, price tends to come up late. Its average position is 0.64 on a scale where 0 is the first question and 1 is the last. With the agent, it is 0.45.
I have a theory for why. Asking an agent about price costs the buyer nothing. It sends no signal of intent and triggers no follow-up emails. Integration and implementation questions are different. They need someone to judge a specific situation, so buyers save them for a person. Buyers use the website to evaluate and reps to commit. We break this down further in sales agents vs human reps.
How many people are on a B2B buying committee?
The average buying account has 23 known contacts (median 10), and only about 1 in 5 of them ever joins a sales call. Large accounts pull the average up, which is why both numbers are worth quoting. In some segments, it is closer to 1 in 8. Of 6,187 call invitations across 2,021 calls, 4,547 were accepted. So roughly one in four went unused.
The number of people on calls rises as the buyer gets serious, then falls at the stage where the purchase gets approved.
| Deal stage | Average people per call |
|---|---|
| Discovery | 1 to 2 |
| Demo | 2.52 |
| POC | 2.56 |
| POC complete | 3.00 |
| Procurement | 1.89 |
Base is 637 mid-market and enterprise deals in internal Storylane deal data. The drop at procurement explains the whole unattended path. The person who signs off reads a summary instead of joining a meeting. So the material that reaches them does the selling. More in what 637 B2B deals taught us about buying committees.
Why can't buyers just try B2B software themselves?
The usual advice for a buyer who wants to evaluate alone is to offer a free trial. Across 300 recorded conversations with about 150 software companies, three reasons came up for why they can't.
| Reason | Share of companies |
|---|---|
| Showing it would break a contract or a regulation | 43% |
| The product is too complex to understand alone | 32% |
| The product does nothing until the buyer's data is in it | 25% |
Nobody chose any of these. They come from the product and the contracts around it. That is why "just offer a trial" is bad advice for most of the market. The workarounds are often worse. One ERP company told us it takes eight hours to build a single demo on a VM, and the VM can't be reset afterward. Another company's marketing director said their sales team hands buyers logins to a staging environment, and that this won't last.
How long does a B2B sales cycle take by deal size?
In Storylane's own pipeline, deals under $5k made up 41% of closed-won deals but only 12% of revenue. This is one company's pipeline (1,167 closed-won deals, with cycle length from a 75-deal subset). Read it as one seller's benchmark, not an industry average.
| Segment | Share of deals | Share of revenue | Meetings | Days to close |
|---|---|---|---|---|
| SMB, under $5k | 41% | 12% | 1.0 | 15 |
| Mid-market, $5k to $20k | 52% | 54% | 2.6 | 29 |
| Enterprise, $20k+ | 7% | 34% | 3.2 | 64 |
Four in ten deals bring in about one in eight dollars. Each one still needs a question answered and a demo shown. That is where the unattended path is cheapest to build and most costly to ignore.
Do interactive demos improve B2B win rates?
Storylane sells interactive demos, so this is the number I'd most like to be true. Read the caveats with that in mind.
Across about 68,000 B2B deals in internal Storylane data, deals where the buyer had demo access closed 46% of the time. Deals without it closed 38% of the time. That pattern held in 14 of 20 pipelines. It means demo-access deals won about 20% more often.
| Measure | With demo access | Without | How consistent |
|---|---|---|---|
| Win rate | 46% | 38% | Held in 14 of 20 pipelines |
| Median people reached at the account | 1.6 | 1.0 | Held in 15 of 17 pipelines |
| Enterprise deal size, at median | 2.75x | Baseline | Held in 4 of 5 enterprise pipelines |
In SMB and mid-market, deal size was the same with or without demo access. And this is correlation. Deals that were going well may simply be the ones where buyers opened the demo. The number that makes me think something real is going on is people reached. A link travels to people a calendar invite never reaches. That is exactly the gap the committee data shows. The full breakdown is in 68,000 deals, 3 findings.
Interactive demos matter most for products buyers can't try alone. If buyers already succeed in a self-serve trial, you have an unattended path in place.
What should a B2B team do with these statistics?
The one idea to keep is that the unattended path is already running. In internal Storylane RepX data, 51.4% of conversations started outside weekday business hours. The questions that decide a shortlist get asked when no rep is there. And the person who approves the purchase mostly never meets you. You can't stop that. You can decide what the buyer finds when they get there.
On Monday, I'd do three things. Read the questions buyers ask your website, if you capture them, and check how many get a straight answer on pricing and features. List what a champion would forward to an approver who never joins a call, and check whether it exists. And look at how many of your open deals have reached more than one person.
If you want to see how Storylane builds the unattended path with interactive demos and RepX, book a demo.
