2026 Inbound Conversion Benchmark
Qualified means the form fill passed the customer's own rules and the person was shown a calendar.
1,220,264 demo-form fills from RevenueHero customers, January to September 2026
To book the same meetings with fewer requests, the typical customer would have to book like the top quarter. Put in your numbers to see where you stand, where qualified buyers leave and what to fix first.
Qualified demo requests at the typical customer
−12%Q3 against Q1
Typical booking rate, 2026
62%same as 2025
The 30-second version
Every booking rate here is a share of qualified demo requests. Added together across every customer it comes to 54%, because a few very large funnels book far less. Compare yourself with the typical customer.
Why we publish this report
It started as an attempt to help our prospects and customers answer one question: are our conversion numbers good? And what trends are you seeing?
The tricky part about benchmarking any part of marketing is that it's subjective. So we set out to build a benchmark that lets companies compare themselves with cohorts that share as many characteristics with them as possible.
Beyond the number, we want you to take something away after reading this. The report is designed to answer two things. What patterns have we seen in the companies that sit at the top tier of conversion? And, without assuming direct causation, what are the quick, low-effort, high-impact changes you can make to see if they move your numbers in the right direction?
So the next time you ask whether your form-fill-to-booked-meeting numbers are healthy, you don't get a generic industry benchmark. You get a specific, relatable and realistic answer that applies to you, and what you can do about it.
It starts with what changed this year, built on more than 1.2 million demo requests. Then it shows where you stand against companies like yours, where qualified buyers leave without booking, and what to try. None of it depends on which lead routing and scheduling tool you use.

Signature goes here once Chara approves the note
Charanyan Venkataraghavan
Co-founder, RevenueHero
Chapter 01 · The drop
We followed the same customers through all nine months and compared each with its own January to March.
Qualified demo requests peaked in March and bottomed in August.
Monthly qualified demo requests, indexed to each customer's own January to March average (= 100). Customers with us all nine months.
| Month | Typical | Pooled | 2025 typical, same rules |
|---|---|---|---|
| Jan 2026 | 98 | 97 | 97 |
| Feb 2026 | 96 | 97 | 94 |
| Mar 2026 | 105 | 106 | 105 |
| Apr 2026 | 95 | 109 | 95 |
| May 2026 | 90 | 101 | 96 |
| Jun 2026 | 92 | 105 | 95 |
| Jul 2026 | 87 | 104 | 96 |
| Aug 2026 | 83 | 101 | 94 |
| Sep 2026 | 85 | 101 | 91 |
Draw your own curve
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Each customer's July to September qualified demo requests against its own January to March average, as a share of the customers with us all nine months. The outer bars are open-ended. The typical customer fell 12% (likely range 6% to 18%).
| Change | Share of customers |
|---|---|
| Fell 50% or more | 14.2% |
| −50% to −40% | 9.1% |
| −40% to −30% | 10.2% |
| −30% to −20% | 8% |
| −20% to −10% | 9.8% |
| −10% to 0% | 9.8% |
| 0% to +10% | 10.5% |
| +10% to +20% | 6.9% |
| +20% to +30% | 3.3% |
| +30% to +40% | 2.2% |
| +40% to +50% | 1.8% |
| Grew more than 50% | 14.2% |
The volume group is the customers with us all nine months, so customers that joined or left during the year sit outside it.
51% of customers got at least 10% fewer in the third quarter and 28% got at least 10% more. Form fills fell about as far (13% fewer) and the share that qualified didn't change, so fewer people reached the form; the rules didn't get stricter. Last year the same customers dipped about 5% over those months. Added together, requests rose about 2%, because a few very large funnels grew.
Customer by customer, the booking rate in the third quarter matched the first: the typical customer moved less than a quarter of a point, with a likely range of 1.5 points down to 1.0 up.
From the data · each customer against its own usual month
−7.5 points per doubling
When requests climb, booking rates fall fast: each doubling of a customer's usual volume goes with a rate about 7.5 points lower (likely range 5.9 to 9.1). When requests fall, rates barely recover: each halving goes with a rate only about 4 points higher (2.2 to 6.0). 2025 shows the same shape, 9.6 points lower against 2.6 higher.
This shows what goes with volume, not why. Surge traffic may be weaker, or calendars may fill.
Booking rate (booked ÷ qualified) by month. Each month counts customers with 30 or more qualified demo requests that month.
| Month | Typical | Pooled | Customers counted | 2025 typical, same rule | 2025 pooled |
|---|---|---|---|---|---|
| Jan 2026 | 66.7% | 56.2% | 279 | 64.2% | 62.1% |
| Feb 2026 | 66.5% | 57.2% | 290 | 62.7% | 59.5% |
| Mar 2026 | 63.6% | 55.2% | 318 | 64.9% | 58.2% |
| Apr 2026 | 64.4% | 54.6% | 315 | 64.2% | 62.4% |
| May 2026 | 62.4% | 53.9% | 322 | 66.3% | 62.3% |
| Jun 2026 | 64.5% | 53.4% | 321 | 67.4% | 61.5% |
| Jul 2026 | 64.4% | 53.3% | 314 | 66.8% | 62% |
| Aug 2026 | 64.7% | 50.7% | 312 | 63.3% | 54% |
| Sep 2026 | 63.7% | 50.7% | 340 | 65.4% | 54.8% |
| Qualified demo requests, Q1 to Q3 | Typical change in requests | Booking-rate change, points (likely range) | Change in meetings booked |
|---|---|---|---|
| Fell 25% or more | −44% | +2.4 (+0.2 to +5.4) | −39% |
| Fell 10% to 25% | −18% | −0.6 (−3.3 to +1.4) | −17% |
| Within 10% either way | 0% | +0.8 (−0.7 to +1.8) | −1% |
| Rose 10% or more | +46% | −5.2 (−11.0 to −3.8) | +23% |
Where requests fell by a quarter or more, meetings fell 39%. Where requests rose 46%, meetings rose 23%, so about half of the extra demand didn't book.
A busy month costs more than a quiet month gives back.
Chapter 02 · The benchmark
The top quarter starts at 71% and the top 10% at 77%.
Each dot is one customer rated on at least 50 qualified demo requests, January to September 2026. Booking rate = booked ÷ qualified, rounded to the whole percent.
Split the dots by
| Rank | Typical booking rate |
|---|---|
| Bottom quarter ends | 49.1% |
| Typical customer | 62.1% |
| Top quarter starts | 71% |
| Top 10% start | 77.5% |
Each dot is one customer.
Meetings are qualified demo requests times the booking rate.
Booking rate (booked ÷ qualified) at each rank. 2025 is last year's report data on this year's rule (January to September, 50 or more qualified demo requests). The band is 2026's likely range from resampling customers.
| Rank | 2025 as published | 2025, this year's rule | 2026 | Likely range, 2026 |
|---|---|---|---|---|
| Top 10% start at | 78% | 77.1% | 77.5% | 75.8% to 79.4% |
| Top quarter starts at | 72% | 70.9% | 71% | 69.5% to 72% |
| Typical customer | 62% | 62.1% | 62.1% | 60.5% to 64% |
| Bottom quarter ends at | 53% | 52.8% | 49.1% | 45.5% to 52.5% |
A 12% drop takes about 14% better conversion to hold meetings level: from 62% to about 71%, where the top quarter starts. That's arithmetic from the drop, not a jump any group was measured making. The typical, top-quarter and top-10% lines each moved under a point since 2025.
Added together, every customer's qualified demo requests book 54%, because a few very large funnels book far less and count the most.
A few very large funnels pull the pooled rate down to 54%
Booking rate (booked ÷ qualified). Compare yourself with the typical customer, because it is one customer, like you.
| Measure | Booking rate |
|---|---|
| The typical customer (median) | 62.1% |
| Every lead added together (pooled) | 53.7% |
| Customers holding half of all qualified demo requests, typical | 61.9% |
Among the customers holding half of all qualified demo requests, the typical one books 62%.
Your number
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Your last quarter
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Your booking rate
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We'll place you against the benchmark below.
Typical 62% · top quarter from 71% · bottom quarter to 49%
Chapter 03 · Customers like yours
Industries with 30 or more customers sit within about 10 points of each other, and customers inside one industry differ by far more.
The dot is the typical customer in each industry and the bar spans the middle half. Booking rate = booked ÷ qualified.
* Fewer than 20 customers: read loosely. Groups with fewer than 10 are not shown. Bar: middle half. Dot: typical. Tick: where the top 10% start.
| Industry | Bottom quarter ends | Typical | Top quarter starts | Top 10% start |
|---|---|---|---|---|
| Real Estate Tech * | 59.3% | 69.9% | 77.8% | 80.4% |
| Construction Tech * | 60.4% | 68.5% | 73.2% | 79.6% |
| FinTech | 57.2% | 68.3% | 70.9% | 78% |
| Other (non-SaaS) | 50.7% | 66.8% | 74.4% | 81.9% |
| Health Tech | 57% | 65.5% | 71.6% | 79.1% |
| HR Tech | 56.9% | 64% | 69.7% | 75% |
| MarTech | 43.3% | 62.5% | 69.7% | 78.8% |
| Supply Chain & Logistics * | 50.5% | 61.2% | 66.4% | 68.3% |
| Sales Tech | 38.1% | 60.1% | 72.8% | 76.7% |
| EdTech * | 56.6% | 59.9% | 63% | 65% |
| IT & Services | 45.5% | 59.6% | 70.7% | 74.2% |
| Security & Compliance | 47.4% | 59.3% | 71.4% | 75.8% |
| Data & Analytics | 50.7% | 58.7% | 68.3% | 72% |
| Dev Tools * | 42.9% | 53.9% | 61.6% | 71% |
Company size, team size and funding stage each move the rate by a few points.
Chapter 04 · The funnel
25 are filtered out by the customer's own rules and 40 book.
Pooled: every customer's form fills added together, January to September 2026. Counted per 100 form fills, so these numbers don't match the 62%, which is a share of qualified demo requests.
| Stage | Per 100 form fills |
|---|---|
| Booked a meeting | 40 |
| Qualified, left without booking | 35 |
| Filtered out by the customer's rules | 25 |
The 35 who qualify and leave are the meetings most teams never report.
Rows split at the typical customer's filtered share (about 15%) and booking rate, so about a quarter of customers land in each.
Filter little, book more
24%
of customers · typical booking rate 69.9%
Few form fills are filtered out, and most of the rest book. Often pricing or the site has already done the filtering.
Filter more, book more
26%
of customers · typical booking rate 71.6%
The form is picky, and the people who pass book. Write the rules down so they aren't only in the routing config.
Filter little, book less
26%
of customers · typical booking rate 49%
Few form fills are filtered out, and fewer than typical book. Look at the page after Submit.
Filter more, book less
24%
of customers · typical booking rate 49.6%
The form is picky and you still aren't getting meetings. Check the calendar after a qualified submit before you rewrite the rules.
The calculator puts you in one, and chapter 06 says what to try.
Among the top 10% by booking rate, 37% filter out fewer than 1 in 10 form fills and 29% filter out 40% or more.
Share of form fills each customer filters out, for the customers booking 77% or more of their qualified demo requests (the top 10%).
| Share filtered out | Share of customers |
|---|---|
| Under 10% | 37% |
| 10% to 40% | 35% |
| 40% or more | 29% |
Chapter 05 · Calendar and no-shows
Teams with the most qualified demo requests per user book about 56%, against 63% to 64% for the rest.
Typical booking rate (booked ÷ qualified) among the highest-volume third of customers, split into thirds by qualified demo requests per RevenueHero user a month. The busiest teams are also the highest-volume customers, so this can't separate load from size.
| Requests per user | Typical booking rate |
|---|---|
| Fewest requests per user (under about 9 a month per user) | 62.5% |
| Middle third (9 to 20 qualified a month per user) | 64.3% |
| Most requests per user (over about 20 a month per user) | 55.7% |
The busiest teams are also the highest-volume customers, so the data can't separate load from size.
A zero can mean every buyer attended or that nobody marked the meeting.
Typical share of booked meetings marked as no-shows, by how many of the 9 months the customer recorded at least one. Cancelled meetings aren't counted.
| Recorded a no-show in | Share of customers | Typical no-show rate | Pooled |
|---|---|---|---|
| at least 1 of 9 months | 54% | 4.3% | 7.4% |
| at least 3 of 9 months | 37% | 5.5% | 8.5% |
| at least 5 of 9 months | 27% | 8.3% | 9.8% |
| at least 7 of 9 months | 21% | 10.1% | 11.2% |
| all 9 of 9 months | 14% | 12.5% | 13.7% |
Our data has no time from booking to meeting, so it can't say whether meetings booked further out no-show more.
Teams that record a no-show in most months see about 8%; teams that record one every month see 13%.
Chapter 06 · What to fix
Tips marked Our data come from this benchmark; the rest come from customer calls.
The thank-you page and the follow-up
Our dataThere is no right share to filter out. Among the top 10% by booking rate, about a third filter out less than 10% of form fills and more than a quarter filter out 40% or more.
Review new filter rules with sales. For the first few weeks, read the filtered-out form fills together and loosen anything that turned away a good buyer.
Test free-email rules before you block them. For some small businesses a personal address is the work email. Label a month of your own bookings by email type and compare the meetings held before you block a provider.
Our dataMake a no-show one click to record. Nearly half of customers record none. If marking one means updating many CRM fields, reps skip it.
Agree how the meeting split is counted. Pick booked or held meetings and a review period, decide whether a rep gets the turn back after a no-show, and report on reps with zero meetings to catch a disconnected calendar.
Fewer buyers reached the form this year, and booking rates stayed where they were. Our reading of the numbers: the qualified buyers who see a calendar and leave are the part of the drop a team can work on, and each check above starts there.
Chapter 07 · What changed since 2025
Some of what we published in 2025 didn't hold this year, and each correction says what to use instead.
We publish this report every year, and some of what we said in 2025 didn't hold. Here is each one, what we found this year, and what to use instead. The typical, top-quarter and top-10% lines from 2025 still hold: on this year's rule, each moved less than a point.
| 2025 said | 2026 shows | Use instead |
|---|---|---|
| Enterprise customers book 70.1% of qualified demo requests. | That figure rested on about a dozen customers. We still have about a dozen with more than 1,000 employees: this year the typical one books 56.7%, on fewer than 20 customers, too few for a stable number. | We've withdrawn the 70.1% and the enterprise filtering rate (71.2%) that came from the same customers. Read any enterprise figure loosely. |
| Series A and Series B customers sit in a valley, booking 54% and 55% while other stages book 64% to 67%. | Series A books 62.4% and Series B 64.3%. Every stage sits between 57% and 64%. Part of the change is relabelling: about one in six customers in last year's data has announced a later round since. | Every funding stage books within a few points of the typical customer. |
| Booking rates slump in summer, with August the weakest month (53.4%). | Customer by customer, the third quarter matched the first. The summer dip showed up in volume instead: qualified demo requests at the typical customer bottomed in August, at 83% of the first-quarter level. Last year's 53.4% was pooled across every lead; for the same customers, August 2025 sat about 3 points below July. | Plan August for fewer leads and keep the same booking-rate target. |
| Top performers are more selective: the top quarter filtered out 37.7% of form fills, the bottom quarter 18.7%. | The top 10%, the customers booking 77% or more, split. 37% filter out fewer than 1 in 10 form fills, and 29% filter out 40% or more. | There is no right share to filter out. Chapter 04 shows your own mix. |
| "Book a Demo" and "Schedule a Demo" beat "Request a Demo" and "Submit", and top demo pages show logos (76%), testimonials (57%) and review badges (36%). | We didn't test button wording or social proof this year. | Treat those 2025 figures as unconfirmed. |
| A booking rate of 35% was "the old benchmark". | We can't trace that figure to a dataset. | We've dropped it. |
Last year's report covered 12 months; this one covers January to September 2026.
We think every qualified demo request should see a time they can book. RevenueHero routes each form fill to the right rep on rules you set, can show the whole team's open times on the page, and records why every lead went where it did.
Book a demoCheck your booking rate
Preview note: the product claim and CTA wait on Chara's sign-off.
| Form fill | A submitted demo form. |
|---|---|
| Filtered out | Failed the customer's own rules; no calendar shown. |
| Qualified | Passed every rule and saw a calendar. |
| Booked | Picked a time. Not held, and not an opportunity. |
| Booking rate | Booked ÷ qualified. Always a share of qualified. |
| Typical customer | The median customer ranked by booking rate. The number to compare against. |
| Pooled | Every customer's leads added together, so the customers with the most leads count the most. |
The data covers inbound demo-form leads from January to September 2026, for a subset of RevenueHero customers. We removed cases that would distort the numbers, such as test traffic and RevenueHero's own test accounts. Booking rates use customers with at least 50 qualified demo requests over the nine months. Every customer in the data shows a calendar right after the form, so it says nothing about teams that follow up by email instead.
A form fill is qualified when it passed the customer's own routing rules and the person was shown a calendar. Booked means they picked a time; it says nothing yet about whether the meeting was held. The booking rate is booked ÷ qualified. The typical customer is the median customer ranked by booking rate. Pooled adds every lead from every customer together.
Figures are aggregated and anonymized under our customer terms, and no customer is named or identifiable. Cells with fewer than 10 customers aren't published, and cells with fewer than 20 are starred. The dot field and the four-row scatter show one dot per company with coarse bands only, and at least 5 customers share every combination of size band, industry group and trend a dot shows. Rates are rounded to the whole percent and shuffled.
Likely ranges are 95% intervals from resampling the customers 1,000 times. The monthly typical rate counts the customers with 30 or more qualified demo requests that month. A gap between two booking rates is given in points, and where it helps, also as the change in meetings from the same number of qualified demo requests (the gap divided by the lower or usual rate).
The volume trend uses the customers with form fills in every month and at least 90 qualified demo requests over the nine months, who were customers before September 2025. Each customer's months are indexed to its own January to March average, and the curve is the typical customer's index each month. The 90-lead floor keeps out the smallest funnels, whose first quarter can swing by chance.
The busy-month figures compare each customer with itself: each month's qualified demo requests against the customer's own usual level, on a doubling scale, with separate slopes for months above and below usual, month of year removed, and likely ranges from resampling customers. Team size counts RevenueHero users at each customer's latest month.
The surge figure compares each customer with itself. For every month we take how far its qualified demo requests sat above or below its own usual level, on a doubling scale, and how far its booking rate sat from its own average, then fit one straight line across all customers. The headline counts months with 100 or more qualified demo requests.
The 2025 comparisons re-run last year's report data on this year's rules: January to September, paying customers and the same excluded accounts; 50 or more qualified demo requests for the tiers, 30 or more in a month for the monthly rate, and for volume, customers with form fills every month, 90 or more qualified demo requests and a customer by the September before. Each comparison counts both years' sampling in its likely range.
"Held side by side" means one linear model of each customer's booking rate with industry, company size, team size, qualified volume, qualified demo requests per user, filtered share and salesperson booking in it together. Once the rest is in, company size and team size make no measurable difference; industry does.
Take it further
Claude skill · .zip
Connect HubSpot or Salesforce in Claude, and the free skill counts your form fills, filtered out, qualified and booked for a period you pick, compares your booking rate with this report and writes a one-page readout. It works on counts, and nothing is sent to RevenueHero.
Data · .csv
Every published table on this page in one CSV, with no customer-level rows.
Download the CSV