Nearly half your registrations arrive in the final seven days, and around 15% on the day itself. That single fact should reorganise your entire promotion plan.
If someone told you the average webinar converts 55% of registrants into attendees, they quoted a number that includes internal communications and training sessions. ON24’s own breakdown, from an analysis of 22,922 webinars, put marketing webinars at 39.10%. Livestorm’s 2026 report, covering 33,786 sessions with its exclusions published, found a 47.7% show-up rate. So roughly 40% to 50% is where you actually sit. Meanwhile 49.6% of registrations land in the final week and 15.3% on the day itself, which means the six-week sequence you are drafting is mostly writing into an empty room. Put your AI effort where the audience is: the last 168 hours, and the seven days afterwards when the larger, quieter half of your audience shows up.
Your boss read somewhere that webinars convert around 55% of registrants into live attendees. You got 41%. Now you are explaining yourself in a meeting.
Here is where that 55% comes from. ON24’s 2019 benchmarks report analysed 22,922 webinars held during 2018 across more than 1,600 organisations, and it published its methodology properly, including the fact that every webinar in the sample had at least 100 attendees. Overall registrant-to-attendee conversion was 55.9%, and for the subset of events with more than 100 attendees it was 43.3%. Split by webinar type within that subset, it looks completely different again: communications webinars 67.05%, training 44.79%, marketing 39.10%, and continuing education 30.79%.[1]
ON24 analysis of 22,922 webinars run in 2018 across 1,600+ organisations. These four rates are the breakdown of events with more than 100 attendees, which averaged 43.3% overall. Communications webinars are internal announcements, which is why they convert so much higher.[1]
People make an announcement to their own staff and it converts at 67%. Of course it does. Nobody skips the restructure webinar. Averaging that in with your product marketing session and calling it a benchmark is how you end up defending a perfectly healthy number.
The most recent well-documented dataset is Livestorm’s, covering all webinars on its platform in 2025: 33,786 sessions across 3,199 organisations and just over 7 million registrations, with test events, internal webinars, sessions under 10 registrants and sessions under 15 minutes all excluded. Show-up rate 47.7%, down 1.2 percentage points on 2024. Average 175 registrants, 83 live attendees, 92 no-shows.[2]
So the honest band is roughly 40% to 50%. If you are inside it, you are fine.
This is the number that should change what you actually do, and almost nobody plans around it.
Livestorm’s analysis of 4.35 million registrations found 49.6% happen in the final week, 15.3% on the day of the event itself, and only 16.4% three or more weeks early. Broken down further: 26.2% land two to six days before, 8.2% the day before, and 15.3% on the day.[2] GoTo, drawing on an analysis of 250,000 webinars, reported 59% in the week prior and 17% on the day.[3] ON24’s 2018 sample was the most conservative at 46% in the final week and 11% day-of.[1]
Three platforms, three different eras, same shape. Somewhere between 45% and 60% of your registrations arrive in the last week, and between 11% and 17% on the day.
Now look at what most of us build: a six-week promotional sequence, meticulously planned, mostly delivered into a period when almost nobody is registering. I have done this. Repeatedly. The early emails feel productive because they are easy to write in advance, and they are the least important assets in the campaign.
One more consequence people miss. If you close registration the day before, you have just locked out the 15.3% who would have signed up on the morning. Keep it open until the session starts. There is no upside to the tidiness.
Content Marketing Institute asked more than 300 marketers what they want from the webinars they attend. 92% want in-depth learning on a specific topic. 86% want a general learning opportunity. 55% want on-demand access, and 53% want speakers with hands-on experience.
Only 30% want product information. Only 19% want a demo. And just 8% named interactivity as something they cared about.[5]
I want to sit with that 8% for a second, because polls and interactive widgets are the first thing every webinar platform sells you and the first thing every AI tool offers to generate. Your audience is telling you it does not care. Meanwhile the demo you were told to work into the second half is wanted by fewer than one in five people in the room.
Webinars are worth the effort, incidentally. In CMI’s annual B2B research, fielded across 980 B2B marketers, in-person events (52%) and webinars (51%) were named the most effective distribution channels, ahead of email at 42%.[4] Self-reported, but consistent year on year.
Not by generating topic ideas. It is mediocre at that and you will recognise the output immediately, because it is the same five titles everybody in your category is already running.
What it is good at: taking material you already have and finding the question inside it. Feed it your last 200 support tickets, your sales call notes, the questions from your previous webinar’s Q&A, and ask which question came up most often and had the least satisfying answer. That intersection is your session. It is grounded in your own evidence, which means it is a topic your competitors cannot generate from a prompt.
Then write the one sentence that decides everything: what a person will be able to do on Friday that they cannot do today. Write that one yourself. If you cannot, the session is not ready, and no amount of promotional copy will rescue it. Our guide on creating a lead magnet with AI gets into how that promise gets tested.
The evidence on AI-written marketing copy is better than the sceptics admit and worse than the vendors claim, and the shape of it tells you where to point it.
Shakked Noy and Whitney Zhang at MIT ran a preregistered experiment with 444 college-educated professionals on occupation-specific writing tasks, including marketing tasks. Time dropped by 10 minutes against a control average of 27, a 37% reduction, and output quality rose measurably.[14] Good news.
Then the finding underneath it: 68% of treated participants submitted ChatGPT’s initial output without editing it, and the researchers found no evidence that human editing improved the output, even when participants had strong financial incentives to improve it.[14] The authors also flag that their tasks were short, self-contained and lacked context-specific knowledge, which they say may inflate the estimate of usefulness.
That caveat is the whole story for webinar promotion. A registration page lives or dies on one context-heavy sentence, the specific thing an attendee will walk away able to do. Everything around it is scaffolding.
The BCG experiment makes the same point more sharply. Across 758 consultants, tasks inside AI’s capability frontier were completed 12.2% more often and 25.1% faster with better quality. On a complex task chosen to sit outside that frontier, AI users were 19% less likely to reach the correct answer.[15]
So, concretely:
And there is a cost to getting this wrong that shows up on someone else’s desk. Research by BetterUp Labs with Stanford’s Social Media Lab found 40% of workers had received AI-generated output that looked polished but lacked substance, costing nearly two hours of rework each time.[16] A registration page that reads well and promises nothing specific is exactly that, except the person doing the rework is your prospect deciding not to register. For more on judging output before it ships, see how to evaluate AI-generated marketing content.
Here is the biggest performance gap in this entire article, and it comes with a warning attached.
GetResponse analysed more than 4.4 billion messages sent by its customers. Webinar invitation emails clicked at 2.86%. The reminder sent one hour before the webinar clicked at 28.66%. Five minutes before: 23.15%. Thirty minutes before: 21.58%. At the start time: 15.98%. One day before: 14.64%.[7]
Tenfold difference between the invite and the hour-before reminder. If you only optimise one email in your entire webinar programme, it is not the invitation.
Now the honest part. I could not find a single credible source connecting reminder count or cadence to a measured change in show-up rate. The famous eight-email webinar sequence traces back to a vendor representative answering a question on a webinar. The D-3, D-1, day-of rhythm everyone repeats is editorial advice with no sample behind it.
So reminders work, we can prove they get clicked, and nobody can prove how many to send. Which matters more now than it used to, because the friction that used to cap the number at whatever a human could be bothered to write has gone. AI will happily produce fourteen.
Two guardrails. First, CAN-SPAM applies to business-to-business email with no exception, requires a valid physical postal address and a working opt-out, and gives you 10 business days to honour an opt-out request, with penalties the FTC currently states at up to $53,088 per email.[17] Second, and more practically, every additional reminder is a chance for someone to unsubscribe from a list you spent budget building. Our guide to using AI for email marketing covers the sequencing in more depth.
My own rule, offered as opinion rather than evidence: three reminders. One the day before, one an hour before, one at the start. The hour-before one gets my actual attention. The other two get five minutes and a template.
ON24’s data contains a finding that reorganised how I run these. 36% of webinar attendees never attend live at all, and of those always-on attendees, the majority register a week after the live event.[1]
A week after. When you have already filed the deck, thanked the speaker and moved on to next month.
Livestorm’s data adds the commercial consequence of how you handle that. Public replays averaged 14.60 on-demand views against 3.97 for replays gated behind registration, a 368% difference. And yet only 20% of teams make replays public, while 62% gate them.[2] Some of that gap is selection, since teams who open replays probably promote them harder too. It is still a very large number to be leaving on the table for the sake of a form.
There is a real trade here and I will not pretend otherwise. Gated replays give you leads. Open replays give you reach and, increasingly, citations in AI search results. My honest position after years of both: gate the deck and the template, open the recording. The recording is your proof of expertise, and proof of expertise works best when nobody has to fill in a form to see it.
You now have a deadline nobody puts on a content calendar. The clips, the recap post and the replay page need to exist within about a week, because that is when the larger, quieter half of your audience turns up.
This is genuinely where AI is worth what you pay for it: transcript to recap post, transcript to five short clips, Q&A to an FAQ page, the strongest three minutes to a social video. Attention data helps you pick. Livestorm found the average viewer stays 26 minutes of a 68-minute webinar, about 38%.[2] Ask for the section with the highest question density rather than the section you enjoyed presenting most. They are rarely the same.
We have written the full breakdown separately in how to repurpose a webinar with AI, and using AI for video marketing covers the clip work.
One thing that is not optional: captions. WCAG 2.1 success criterion 1.2.4 at Level AA requires captions for all live audio content in synchronised media, and the W3C’s own technique notes confirm real-time text translation services satisfy it.[18] AI captioning has made this cheap. There is no longer a good reason to run an uncaptioned webinar.
Most tool roundups list features. The thing that actually decides whether a tool works for you is the tier, and specifically whether the free tier can process a 60-minute recording. Often it cannot.
| Tool | What it does for webinars | The catch |
|---|---|---|
| Otter | Transcription and AI chat over the transcript | Free tier caps each conversation at 30 minutes, so it cannot transcribe a standard 60-minute webinar[13] |
| Descript | Text-based editing, clips, filler-word removal | Free tier is 60 media minutes a month and 100 AI credits that are one-time, not monthly[12] |
| Zoom | Webinar Summary and Webinar Questions | Needs a paid Workplace plan plus the Webinars add-on. Narrower than the meeting features people assume they get[9] |
| ON24 ACE | Transcript, blog, eBook, key takeaways, follow-up emails, social posts | Additional fees may apply, and content can take up to four hours to appear after the event[10] |
| HubSpot Content Remix | Turns one asset into blogs, social posts, clips, emails | Needs Content Hub Pro or Enterprise, and social post generation additionally requires Marketing Hub Pro or Enterprise[11] |
Compiled from each vendor's own current documentation and pricing pages. Tiers change often, so check before you build a workflow on one.
The four-hour lag on ON24 ACE deserves a note, because it is the kind of thing that quietly breaks a plan.[10] If you promised the recap would go out the same afternoon, build the wait into the schedule rather than discovering it at four o’clock.
My working setup, for what it is worth: whatever platform the business already pays for, plus Descript on a paid tier for clips, plus a general chatbot for the writing. I have not found the all-in-one platform AI features worth switching platforms for, and I have looked.
You generate volume instead of specificity. The CMI research is uncomfortable on this. 87% of B2B marketers say AI improved their productivity, but only 39% say content performance improved, with 34% reporting no change at all. CMI’s own summary is the sentence to pin above your desk: AI helps marketers type faster, not think better.[6]
You obsess over the day and time. Livestorm’s 2025 data shows Tuesday peaking at 51.7% show-up, with Thursday and Friday falling to between 50.9% and 50.3%. That is a spread of well under two percentage points across the entire working week.[2] Pick a day that suits your speaker and move on. The topic is worth fifty times more than the slot.
You front-load the campaign. Covered above, but it is the mistake I still catch myself making. The polished six-week sequence, then nothing left in the tank for the week that actually matters.
You let AI write the promise. Everything else on that registration page can be generated. The sentence describing what changes for the attendee cannot, because it depends on knowledge that only exists in your business.
You treat the webinar as the deliverable. 36% of your audience is not going to be there.[1] The live session is the raw material. The week afterwards is the campaign.
If you change one thing this quarter, move your best hour of work from the six-week promotion plan to the day before the event. That is where the people are.
Roughly 40% to 50% of registrants for a marketing webinar. ON24’s analysis of 22,922 webinars put marketing webinars at 39.10% registrant-to-attendee conversion, against 67.05% for internal communications webinars, which is why the blended 55.9% headline is misleading. Livestorm’s 2026 report covering 33,786 sessions with published exclusion criteria found a 47.7% show-up rate. If you are inside that band, you are performing normally.
Start early, but concentrate your effort late. Livestorm found 49.6% of registrations arrive in the final week and 15.3% on the day itself, with only 16.4% landing three or more weeks ahead. GoTo’s analysis of 250,000 webinars found 59% in the week prior. Draft the early sequence quickly with AI, then spend your real attention on the final seven days, and keep registration open until the session actually starts.
Nobody can prove an answer, which is worth knowing before you accept advice on it. What is documented is that reminders massively outperform invitations on clicks: GetResponse’s analysis of 4.4 billion messages found webinar invitations clicked at 2.86% while the reminder sent one hour before clicked at 28.66%. No credible source connects reminder count to measured show-up rate. Three is a sensible default: day before, hour before, and at the start.
It depends what you need more, leads or reach. Livestorm found public replays averaged 14.60 on-demand views against 3.97 for gated ones, yet 62% of teams gate them and only 20% make them public. Bear in mind that 36% of webinar attendees never attend live at all, and most of those register about a week after the live event. A reasonable compromise is to gate the deck and templates while leaving the recording open.
Check the tier before the feature list. Otter’s free plan caps each conversation at 30 minutes, so it cannot transcribe a standard 60-minute webinar. Descript’s free plan gives 60 media minutes a month and 100 AI credits that are one-time rather than monthly. Zoom’s webinar AI requires a paid Workplace plan plus the Webinars add-on. ON24’s ACE can take up to four hours to produce content after an event and may carry additional fees, and HubSpot’s Content Remix requires Content Hub Professional or Enterprise, with social post generation additionally needing Marketing Hub Professional or Enterprise.
The benchmarks in this article come only from reports that publish their own methodology, which ruled out most of what circulates as webinar statistics online. ON24’s 2019 report discloses 22,922 webinars, a date range and exclusion criteria; Livestorm’s 2026 report discloses 33,786 sessions and its exclusions. Several widely-quoted figures were deliberately left out because they could not be traced to anyone who actually ran the analysis, including a supposed joint benchmark across three platforms that does not exist, and the well-known eight-email webinar sequence, which traces back to a vendor representative answering a question on a call rather than to any study. Tool details come from current vendor documentation and pricing pages.
Weekly tips. Real examples. Practical help for busy professionals.
We care about your data, check out our privacy policy.