Does Charging for a Webinar Increase Attendance? The Honest Answer
A paid webinar is one where the registrant hands over money - often a token amount - before they get the joining link, rather than just an email address. The question here is narrow: does that payment make them more likely to actually turn up? The short answer is that the largest free-versus-paid gap anyone reports is enormous, that it comes from one event organiser's own bookkeeping rather than a study, and that nobody has published a controlled test of it. Everything below is written to that standard.
A page published by a company that sells AI calling software should probably not open by telling you to charge a fee. We are telling you anyway, because it is the largest effect on show up rate in everything we reviewed, and because the mechanism our own product is built on - getting a concrete plan out of a registrant on a call - is worth about four percentage points in the strongest trial anyone has run on it, and that trial used live human callers in a US election rather than an AI on a webinar. If a token fee works the way the one operator who has counted it says it does, it reduces your need for what we sell. That is the honest ordering of the levers, so that is the order we publish them in.
TL;DR
The claim: one event organiser, six years of monthly online events, reports roughly 30% show up on free registrations and roughly 85% on paid ones. What it is not: a study. No control group, no disclosed sample size, no independent verification, and no retrievable permalink, so we quote it without a link and label it a single-operator observation every time it appears on this page. The cost: you will get materially fewer registrants - that is the trade, and it is most operators' real objection. The arithmetic: on those two rates you could lose almost two-thirds of your registrations and still have the same number of people live. Who should not do it: anyone running top-of-funnel awareness webinars, cold paid traffic, or anything where registration volume is the metric being judged. The only honest answer available: split your own next two events and count.
Does charging for a webinar increase attendance?
One event organiser, reporting six years of monthly online events on a public forum, gives these numbers: a 70% no-show rate on free registrations and a 15% no-show rate on paid ones - roughly 30% versus 85% show up - and describes the pattern as "consistent across the board as far as topics, time of day, day of the week". That is the largest single gap in show up rate we found anywhere in the research behind this cluster, and it is bigger than every properly randomised effect we could cite by an order of magnitude.
It is also, and this matters more than the size of it, a single-operator observation rather than a result.
| Registration type | Reported no-show rate | Implied show up rate | What kind of evidence this is |
|---|---|---|---|
| Free registration | 70% | roughly 30% | Single-operator observation - one organiser, six years of their own events, self-reported on a forum. NOT a study |
| Paid registration | 15% | roughly 85% | Single-operator observation - same source, same caveats. No control group, no disclosed sample, unverifiable |
Exactly what we are and are not telling you
This is one person's operational bookkeeping over their own list, posted publicly. There is no control group, no disclosed sample size, no independent verification, and no retrievable permalink - the discussion platform blocks automated access, so we quote it without a hyperlink and never present it as data. It could be confounded several ways at once: a person who pays is a different person from one who clicks a free button, the paid events may have had different topics or a different audience, and six years is long enough for the list itself to change. We publish it first anyway, because a gap of that size from a single decision dwarfs everything properly evidenced, and quietly leaving it out because it is inconvenient to a calling product would be dishonest.
For context on the free side of that number: Goldcast's 2025 B2B benchmark reviewed 19,531 webinars across 418 brands and reports a 33% attendance rate, while also reporting an average of 238 registrants and 51 attendees per webinar - which is 21% (Goldcast, US/global B2B, 2024 data). Banzai measured 800,000+ webinars run on Demio in 2023 and found attendance varies sharply by host size: hosts under $1M in revenue averaged 22%, versus 41% for $1M-$10M, 48% for $10M-$100M and 46% above that (Banzai, Webinar Statistics 2024, US vendor data). Both are vendor-published and both are US or English-language. The free-registration world sits somewhere around a fifth to a third of registrants, which is roughly where the organiser above says they were before they started charging. We take the published range apart in the webinar attendance statistics review.
Why would paying change whether someone turns up?
The plausible mechanism is not that the money is large enough to matter. It is that paying converts a sign-up into a decision. A free registration costs an email address and commits the registrant to nothing; a charge, even a small one, forces a moment where the person decides they are attending, and gives them something to lose by not showing.
That is the same mechanism the rest of this topic runs on, which is the honest reason to take the observation seriously even though the evidence behind it is thin. Asking a registrant to click "I am coming live" and name one question they want answered is a micro-commitment. Asking them on a call when exactly they will join, from what device, and what they will be doing right before is a commitment too, and it is the one piece of this that has a large randomised trial behind it.
Nickerson and Rogers ran a field experiment with 287,228 participants during the 2008 US presidential election and found that helping someone form a concrete plan "can increase turnout by 4.1 percentage points among those contacted, but a standard encouragement call and self-prediction have no significant impact" (Psychological Science, 2010). That is the strongest evidence in this whole area, and note what it is: 4.1 points, among the people you actually reach, with live human callers, in an election. Set that beside a reported 55-point free-versus-paid gap and the ranking writes itself, even after you discount the 55 points heavily for being one person's bookkeeping.
Do not let us get away with the leap we just made
Plan-forming and paying are different interventions. Nickerson and Rogers tested a phone conversation, not a price. Nothing in that paper says a payment produces commitment, and we are not going to pretend it does. What the two have in common is a hypothesis - that a registrant who has actively committed behaves differently from one who has passively signed up - and one of them has a 287,228-person randomised trial behind it while the other has one operator's spreadsheet. Treat the mechanism as plausible and the causation as unproven. Charging may simply attract different people rather than changing the same people, and one operator's six years of data cannot separate those two explanations.
Has anybody actually tested this properly?
No. We searched for it specifically, and here is the state of the record: there is no randomised controlled trial of charging versus not charging on webinar attendance, and no published A/B test of it with a disclosed methodology - no sample size, no control group, no measurement period, from any vendor, platform, agency or academic source we could find. The webinar platforms sitting on the largest datasets in the world publish attendance benchmarks by industry and by company size; none of them publishes one by whether the event was paid.
We are stating that plainly because it is the most useful sentence on this page. If someone quotes you a percentage for what charging does to your show up rate, they either got it from the same forum report we did or they made it up.
| Question | What exists | What is missing |
|---|---|---|
| Does a fee raise show up rate? | One organiser, six years, roughly 30% free vs roughly 85% paid - a single-operator observation, not a study | Any randomised or controlled comparison at all |
| Is it the fee, or the kind of person who pays? | Nothing. Both explanations fit the same numbers | A design that randomises the price to the same audience |
| How much should the fee be? | Nothing measured. Operators describe token amounts | Any dose-response evidence - is $5 the same as $50? |
| How far do registrations fall? | Nothing published. Operators report a drop without numbers | A measured registration elasticity for webinar pricing |
| Does the extra attendance convert? | Nothing published that separates paid-registration attendees from free ones | Downstream revenue per registration, free vs paid |
| Does it work with cold paid traffic? | Nothing. No published show up rate benchmark is segmented by traffic source at all | Essentially the whole question |
That empty middle column is not a reason to ignore the idea. It is a reason to test it rather than adopt it, which is what the last section of this page is for.
What does charging cost you?
Registrants. This is the real trade and it is the objection almost every operator raises first, so it deserves the plain version: put a price on the registration page and fewer people will fill it in. Nobody has published how many fewer - we could not find a single measured registration elasticity for webinar pricing - but the direction is not in dispute and every operator who has tried it says the same thing.
A second cost is operational and easy to underestimate. Taking money means a payment processor, a refund policy, invoices, and sales tax or VAT treatment that a free registration never triggered. In several markets a paid event has different accounting consequences from a free one, and which market you are in decides that - check it with your own accountant rather than with a webinar blog.
A third cost is downstream and depends on your funnel: if the price filters out people who would eventually have bought after three more touches, you paid for a better show up rate with revenue. That trade cannot be evaluated in the abstract.
The number that decides it is not the show up rate
Show up rate is the metric this whole category optimises and it is the wrong one to decide a pricing question with. The number that matters is revenue, or booked calls, per registration acquired - because that is the unit you actually pay for. A fee that halves your registrations and triples your show up rate is a good trade for one business and a terrible one for another, and the difference lies entirely in what happens after the webinar. We cannot know your funnel economics, so we are not going to tell you it nets out.
Does a smaller paid audience beat a bigger free one?
Sometimes. The arithmetic below is not a prediction and not a benchmark - it is just what the two reported rates imply if you take them at face value, so that you can see how much registration loss a fee can absorb before it stops being worth it. Start from 400 free registrations at a 30% show up rate, which is 120 people live.
| If registrations fall by | Paid registrations | Live attendees at ~85% | Versus 120 live from 400 free |
|---|---|---|---|
| 0% | 400 | 340 | +220 |
| 25% | 300 | 255 | +135 |
| 50% | 200 | 170 | +50 |
| 65% | 140 | 119 | Break-even |
| 80% | 80 | 68 | -52 |
What this table is
Pure arithmetic on one operator's two reported rates, not a forecast. It uses roughly 30% and roughly 85% because those are the only free-versus-paid figures anyone has put on the record, and both are a single-operator observation rather than a measured effect. The break-even is the only genuinely useful line in it: on those rates, registrations would have to fall by about two-thirds before a paid event puts fewer people in the live session than a free one. If your own paid registrations fall by less than that, you gain attendees; if they fall by more, you lose them. Which side you land on is an empirical question about your audience that this table cannot answer for you.
One more thing the arithmetic hides: the roughly 260 people who did not register when they saw a price are not necessarily lost. Some of them were never going to attend and were quietly inflating a vanity number; some of them would have bought later. There is no published data separating those two groups, and the split is probably specific to your offer. If registration volume is what your ads, your sponsors, or your boss are judged on, that ambiguity is not a risk you can take - which brings us to the section that says so.
Who should not charge for a webinar?
A token fee is not a general-purpose improvement. It is a filter, and a filter is the wrong tool whenever your goal is reach rather than attendance.
| Situation | Charge? | Why |
|---|---|---|
| Top-of-funnel awareness webinar | No | The point is to be seen by people who have never heard of you. A price removes exactly the audience you built the event for |
| Cold paid traffic | No | You are already paying per click. Adding a second conversion step to a cold audience compounds the drop-off, and no published data tells you by how much |
| Registration volume is the KPI | No | If ads, sponsors or an internal target are judged on registrations, a fee makes your reported numbers worse regardless of what happens live |
| Sponsored or partner webinars | No | The sponsor usually bought a registration count. Charging attendees changes the product they paid for |
| Warm list, high-ticket offer | Worth testing | A smaller, self-selected audience that turns up is closer to the sale, and the offer economics can absorb a lower registration count |
| Workshop or working session with limited seats | Worth testing | Scarcity and a price reinforce each other, and the format already justifies a fee |
| Recurring events with a chronic no-show problem | Worth testing | This is the situation the one reporting organiser was in, and the only one where their experience is even loosely comparable |
There is a harder version of the "no" cases worth naming. If your registrants came from a cold ad and have no prior relationship with you, the fee will not rescue the show up rate and neither will anything else in the reminder toolbox. That is not a failure of the tactic, it is a problem upstream of it, in the offer or the audience or the ad. We go through the rest of that list in why webinar registrants do not show up, where the top-ranked reason is not forgetfulness at all - it is that everyone sends a recording now.
What does a token fee actually look like?
"Charge for it" is not a plan, and most operators asking this question do not want to become a paid-events business. What they want is the smallest possible price that still forces a decision. Several designs do that, and they differ mostly in what they cost you in admin and goodwill.
| Design | How it works | What it costs you | Best when |
|---|---|---|---|
| Token fee | A small fixed amount, non-refundable, charged at registration | The registration drop, plus payment processing | You want the filter and nothing else. The simplest version to test |
| Refundable deposit | Charged at registration, refunded automatically to everyone who attends live | Processing fees on both legs, plus refund admin per event | The audience would resent a real charge but respects a stake |
| Creditable fee | Charged at registration, credited in full against the offer you make on the webinar | Nothing if they buy; the fee stays if they do not | You are selling something on the event and want the fee to disappear at the point of sale |
| Pay what you want, minimum above zero | Registrant picks the amount, but the floor is not free | Some revenue, some checkout friction | The price is purely about commitment and you do not want to exclude anyone on cost |
| Donated fee | Charged, then donated to a named charity, receipt shown | Processing plus the admin of proving it | Charging feels off-brand but you still want the decision to be real |
| A non-monetary price | An application form, a short piece of pre-work, or a question they must answer to get the link | Time to review, and a slower registration flow | You cannot take payment, or you want the filter without the accounting |
The last row is the one most people skip
The price does not have to be money. A registration that requires a typed answer to one real question - "what is the single thing you want solved on this call?" - costs the registrant something, filters the same way a fee does, and produces something a fee never will: a document of what your audience says they are struggling with, in their own words. That is useful whether or not it moves your show up rate, which is more than we can say for most reminder tactics. Nobody has run a controlled test of that either, and the answers are worth having regardless.
How do you test this on your own events?
Since nobody has run the study, the only honest answer available is that you run the comparison yourself. It is not a real experiment - two events in two different weeks confound the price with everything else that changed - but it is far better than adopting a forum report, and it is the same test we would want run on our own product before anyone bought it.
Pick two consecutive events and hold everything else constant
Same offer, same traffic source, same day of the week, same time of day, same length, same registration page apart from the price, same reminder sequence. Every difference you allow is an alternative explanation for the result.
Charge a token fee on one and nothing on the other
Start with the smallest amount your checkout will process. You are testing whether a price changes behaviour, not what the event is worth. Do not also change the format, the title or the promise in the same cycle.
Record four numbers per event, not one
Registrations, live attendees, show up rate, and the downstream number that actually pays you - revenue, booked calls, or qualified appointments from the event. A test that only records show up rate will tell you charging works even in the cases where it costs you money.
Run the cleaner version if you can
Split the same traffic source in the same week across two registration pages, one free and one paid, instead of comparing two events in different weeks. It is more work and it is the only way to stop the calendar from explaining your result.
Repeat before you believe it
One pair of events is an anecdote with a sample size of two - exactly the kind of evidence this page spends its length warning you about. Three or four cycles before you change your pricing permanently is a reasonable bar.
Decide on revenue per registration, then re-check the fit
If revenue per registration acquired went up, keep the fee. If show up rate went up but revenue per registration went down, the fee filtered out buyers and you should stop. Then check your answer against the situations table above - if registration volume is what you are judged on, a good result here still may not be a good decision.
Where this leaves our own product
If you test this and it works for you, the honest consequence is that you need fewer reminders, fewer messages and fewer calls than you did before - including ours. We would rather publish that than have you find it out after buying something. What a fee cannot do is tell you why the people who still did not show up stayed away, work the no-shows afterwards while the offer is open, or produce a record of what 300 registrants said they wanted from the session. That is the part we sell, and we describe exactly what it does and does not do on the AI webinar attendance page. For the full ranking of tactics with this one at the top, see the evidence-ranked attendance guide - and if you want to argue about your own numbers before buying anything, our contact page is the place.
One jurisdictional note, because charging changes nothing about it: whether you may telephone your registrants at all is a separate question with a country-specific answer, and a registration form does not by itself settle it in the EU or the UK. We go through that in the EU and UK legality guide. Other markets run on entirely different rules - check yours.
Frequently Asked Questions
Frequently Asked Questions
The largest reported gap comes from one event organiser with six years of monthly online events: a 70% no-show rate on free registrations versus 15% on paid ones, which is roughly 30% versus 85% show up. This is a single-operator observation self-reported on a public forum - not a study. There is no control group, no disclosed sample size, no independent verification, and no retrievable permalink. It is still the biggest effect anyone in this space reports, and it may reflect the kind of person who pays rather than the payment itself. Test it on your own events rather than adopting it on our say-so.
No. We looked specifically for one. There is no randomised controlled trial and no published A/B test with a disclosed methodology comparing paid and free webinar registration on attendance - no sample size, no control group, no measurement period, from any vendor, platform, agency or academic source. The platforms holding the largest datasets publish attendance benchmarks by industry and by host company size, but none by whether the event was paid. Any specific percentage you are quoted for what charging does is either the same single-operator forum report or an invention.
Nobody has measured this, so there is no evidenced answer and we will not invent one. There is no dose-response data at all - nothing tells you whether $5 behaves differently from $50. The logic of the mechanism points at the smallest amount that still forces a real decision, since the goal is a filter rather than revenue, and operators describing this tactic consistently talk about token amounts. A refundable deposit, a fee credited against the offer, or a pay-what-you-want floor above zero all achieve the same filter with different trade-offs.
Yes, and that is the real trade. Nobody has published how many fewer - we found no measured registration elasticity for webinar pricing anywhere - but the direction is not in dispute. The arithmetic on the one organiser's reported rates is useful here: starting from 400 free registrations at roughly 30% show up, registrations would have to fall by about two-thirds before a paid event at roughly 85% put fewer people in the live session. That is arithmetic on an unverified pair of rates, not a forecast for your list.
No. A fee is a filter, and a filter is the wrong tool when reach is the point. If the event exists to be seen by people who have never heard of you, if the traffic is cold and paid, if a sponsor bought a registration count, or if registrations are the number your ads or your targets are judged on, a price makes the thing you are measured on worse regardless of what it does live. The cases where it is worth testing are a warm list with a high-ticket offer, a limited-seat working session, and a recurring event with a chronic no-show problem.
Nobody has tested the two against each other, so this is a judgement about your audience rather than an evidence question. A refundable deposit that is returned automatically when someone attends creates the stake without the sense of being charged, at the cost of processing fees on both legs and refund admin every event. A fee credited against whatever you sell on the webinar disappears entirely for buyers. A non-refundable token fee is the simplest to run and the easiest to test first, which is the main argument for starting there.
On the evidence available, the reported effect of charging is far larger than anything reminders achieve, but the evidence behind it is far weaker. Reminders have real randomised support and small effects: two automated reminders beat one at 4.4% versus 5.8% missed appointments in a 54,066-patient trial in US primary care (Steiner 2018), and a text reminder beat no reminder with a risk ratio of 1.14 in the 2013 Cochrane review. Those are one-percentage-point-scale effects in healthcare, not webinars. The strongest call finding is Nickerson and Rogers 2010, where a plan-forming call raised turnout 4.1 points among people actually reached, using live human callers in a US election. Charging and reminding are not alternatives in any case - a fee filters who registers, a reminder reaches who already did.
Because it is the largest effect on show up rate in everything we reviewed, and leaving it out to make our own product look better would be dishonest. A token fee, if it works the way the one operator who has counted it reports, reduces the number of reminders and calls you need. What it cannot do is tell you why the remaining no-shows stayed away, work them afterwards while the offer is still open, or produce a record of what your registrants said they wanted from the session. Those are separate jobs, and it is worth knowing which one you actually have before you buy anything.
Founder & CEO, AInora
Building AI digital administrators that replace front-desk overhead for service businesses across Europe. Previously built voice AI systems for dental clinics, hotels, and restaurants.
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