AInora
For Scheduled Live Webinars Selling a High Ticket Offer · Disclosed AI

The AI confirms and books. Your closer sells.

Webinar attendance for high ticket offers is a done-for-you AI voice and SMS layer for scheduled live webinars selling something priced high enough that it closes in a human conversation rather than on a checkout page. We text every registrant who opted in, call before the session to get a concrete plan out of the people we reach, and then work attendees and no-shows while the offer is still open.

The agent never presents your offer. It confirms, it qualifies against criteria you wrote, and it books a qualified appointment onto a human calendar. Price, objections and the ask are your closer's, and the agent is scoped so it cannot go there. Every call says it is an AI assistant in the first seconds.

Book a consultationTry the voice demo
Your closer
takes every sales conversation. The agent cannot present the offer, discuss price or handle an objection
~1,600
live US ads pairing "free training" with a high-ticket audience in our own Meta Ad Library sweep on 27 July 2026 - a count of live creatives, not of businesses
Art. 50
the EU AI Act requires that people be told they are interacting with an AI system, binding EU-wide from 2 August 2026
Source: EU AI Act, Article 50
Zero
closed clients on this offer. No logos, no testimonials, no client results and no case study appear anywhere on this page

The most useful thing anyone told us while we were building this

It came from an operator in one of our own buyer panels, unprompted: AI confirms and schedules, humans sell - and they would pay more for the version where the AI hands the actual sales conversation to their closers. We built it that way, and on a high ticket offer it is right for three separate reasons at once. The conversation is worth too much to hand to software. It removes the largest legal exposure, because persuasion is the regulated part. And it removes the largest sales objection, because the class of statement that could cost you a deal is simply outside what the agent is able to say.

Where Exactly Does the AI Stop and Your Closer Start?

At the booking. Everything before it is coverage work - reaching people, asking them something, writing down what they said, and putting the right ones on a calendar. Everything after it is persuasion, and persuasion is a human job on an offer at this price.

The boundary matters more than the feature list, so here it is line by line. The third column is not a list of things we could not build. It is the list of things we deliberately will not.

On a high ticket registrant listThe AIYour closer
Reaching every registrant who opted inYes. Attendees and no-shows, across SMS and voice, inside the offer windowNo. This is the part that never gets finished by hand
Saying it is an AIYes, in the first seconds of every call, before anything else happensNot applicable. A human introduces themselves as a human
Asking why the person registered, and listeningYes. Free text, in their words, kept and handed back to you per runYes, again, better - but only for the people who reach a call
Getting a concrete plan to attend out of a registrantYes. When they will join, on what device, where they will beRarely, because nobody has the hours to do it across a whole list
Deciding who is worth a closer slotYes, against the qualification criteria you wrote and approvedYes, and the closer overrides the AI whenever they disagree
Booking the qualified appointment and confirming itYes. This is the last thing the AI doesNo. Freeing this up is the entire point
Presenting the offer, handling price, handling objectionsNever. It is out of scope and the agent is built so it cannot go thereYes. Only your closer does this
Asking for the moneyNeverYes. Always a human, on a high ticket offer

Which Number Are You Actually Measuring: 1-4% or 10-20%?

Both circulate in the high ticket world and they are constantly mistaken for each other. They are different funnel steps, not an optimistic and a pessimistic view of the same one. One counts purchases. The other counts agreements to talk. If you plan with the wrong row, the plan is wrong by roughly an order of magnitude.

Decide first which webinar you run - the one that asks for money, or the one that asks for a call - and then read the matching column. That decision also changes what the follow-up is for, and how much closer capacity has to sit behind it.

1-4%
attendee to direct sale on a high ticket offer priced $2,000-5,000 and up - practitioner benchmark, single US source, no sample disclosed
Source: Scale For Impact
10-20%
attendee to booked call on the same offer - a different funnel step, same single practitioner source
Source: Scale For Impact
30-50%
how much lower cold traffic converts, "across the board", per the same practitioner source
Source: Scale For Impact
One source
all three figures above come from a single practitioner writing about their own book of work. There is no peer-reviewed benchmark for post-webinar conversion
Decide this before you plan anythingYou sell on the webinarYou sell the call, closers sell the offer
What the webinar itself is asking forA purchase, on the webinar or from the replay pageA booked conversation with a human closer
The reported range for a high ticket offer priced $2,000-5,000 and up1-4% of attendees buy directly10-20% of attendees book a call
Evidence grade for that rangePractitioner. One source, no sample size and no method disclosed, US and English-languagePractitioner. Same single source, same missing disclosures
What follow-up calling is actually doingChasing a purchase decision that was already asked for on the webinarCreating the conversion event itself. The booking is the job
What you should count as success on the follow-upCoverage of the list, then purchases attributed inside the windowCoverage of the list, then qualified appointments that were held
How much closer capacity you need behind itLess. The closer is a backstop for people with questionsMore. Every booking made is a calendar slot someone has to fill
What breaks if you plan with the wrong rowYou forecast a booking rate against a purchase model and overstate revenue by roughly an order of magnitudeYou staff for a purchase model, under-resource closers, and the appointments go unheld

Why there is no calculator on this page

A calculator that does not first ask which of those two models you run produces nonsense for half its visitors, so we did not build one. The figures themselves are quoted because they are the only high-ticket-specific numbers in the literature, not because they are strong: one practitioner, no sample size, no method, US and English-language. Treat them as planning ranges you sanity-check against your own last three webinars, and treat anybody quoting you a guaranteed conversion rate for your traffic as somebody who invented it - there is no published benchmark segmented by traffic source at all.

Is the Show Up Rate a Vanity Metric?

Largely, and we would rather concede that than argue with it. A buyer in our own panels put it as a challenge - show rate is a vanity metric, where are the sales - and the honest answer is that attendance is an input. What we are measured on is coverage of the list inside the offer window, and qualified appointments that were held rather than merely booked. The sale is not ours to claim, because we deliberately are not in the conversation where it happens.

We also will not promise you an attendance figure. It is worth knowing what the published ones actually measure, because on a high ticket funnel run on paid traffic almost none of them describe you. The numbers below are the structurally comparable ones, they converge on a 21% to 34% band, and we use that as a planning assumption rather than a benchmark.

Every one is a US or English-language source and every one is vendor or practitioner data rather than peer-reviewed. The enterprise reports that print much higher figures are measuring marketers emailing their own house list, which is a different population from an operator buying traffic to a masterclass, and holding your own numbers up against those is how operators end up disappointed by a perfectly normal webinar.

22%
attendance rate for the $0-1M revenue cohort - the closest published analogue to a solo high ticket operator. Vendor data measured across more than 800,000 webinars run on Demio in 2023
Source: Banzai / Demio, Webinar Statistics 2024
34%
registration-to-live conversion on a syndicated webinar network, 2021. The same report also prints 36% on its benchmark page and 33% in its prose; we use the chart figure and disclose all three
Source: BrightTALK Benchmarks Report 2021
51 of 238
average attendees against average registrants across 19,531 B2B webinars and 418 brands - the same report headlines this as 33%
Source: Goldcast B2B Webinar Benchmark Report 2025
21-34%
the band those sources converge on. A planning assumption, not a benchmark, and there is no published show-rate benchmark segmented by traffic source anywhere

What Does the Sequence Actually Look Like?

Five steps, and you see the whole thing written down - every touch, every channel, every timing window - before you agree to anything. Nobody in this category names the number of touches, and the number is the risk: it is the difference between a system your buyers tolerate and one that makes you look like a spam cannon to a list you paid for.

1

The SMS thread, right after registration

Every registrant who opted in gets a text that asks one question instead of repeating the date. That is the micro-commitment operators already talk about: someone who has answered something is in a thread rather than on a list. No performance number is attached to this leg, for the reason set out in the limits below.

2

The call before the session

The agent says it is an AI assistant in the first seconds, then helps the registrant form a concrete plan: when they will join, on what device, where they will be, what they are doing right before. The timing is a setting rather than a race - being contacted the moment you fill in a form reads as surveillance rather than service.

3

The offer-window pass across attendees and no-shows

The phase almost nobody finishes by hand. On a high ticket offer this is where the money is, because the window is short and the list is long. The agent confirms where each person stands, qualifies against criteria you wrote, and books the ones worth booking.

4

The hand-off to your closer

A qualified appointment lands on a human calendar with the registrant's own words attached to it, so the closer opens the call already knowing what the person said they were trying to solve. The agent does not present the offer, does not discuss price and does not handle objections. It cannot: the scope is built that way.

5

The document of what people actually said

Per run, a written record of hundreds of registrants describing their problem in their own language. It feeds the next webinar, the next ad set and the objection list your closers work from. Unlike a show up rate, it does not depend on a webhook, a platform integration or anybody else's benchmark.

Step three is the one that decides whether any of this was worth doing, and it is a capacity problem rather than a persuasion problem. Attempting a 500-person list once, with re-dials on the no-answers, is a planning band of roughly 40 to 55 work-hours. A caller manages six or seven productive hours a day. A common offer window is 72 hours. One person covers a fraction of the list before the reason to buy expires, and the rest of the leads you paid for go untouched.

That is arithmetic rather than an efficacy claim, and you can redo it with your own list size and your own call length - the shape of the answer does not change. We attach no salary or hourly figure to it, because those vary enormously by country and seniority and we do not publish numbers we cannot source. The full version, including what it costs to buy those hours instead, is on post-webinar follow-up calls. What the registration form has to say before any of it may run is on webinar registrant consent, and the whole system end to end is on AI webinar attendance.

What Does This Not Do?

Longer than the promises section, deliberately. In a category where almost every claim is a bare assertion, publishing the limits is the fastest way to be believed - and on an offer at this price you are going to check anyway.

The show up rate is not the number that matters

A buyer put it flatly in our own panels: show rate is a vanity metric, where are the sales? We agree with the challenge. What this system is measured on is coverage of the list inside the window and qualified appointments that were actually held. The sale stays with your closer, so the sale is not ours to claim.

We attach no performance number to the SMS leg

The best pooled evidence on two-way text messaging against standard care found no improvement in appointment attendance: risk ratio 1.03, 95% CI 0.95 to 1.12, from 5 trials. The review reports both 6,627 and 4,374 participants for that same analysis, which is a discrepancy in the source rather than in our reading of it, and all 31 included trials were set in Sub-Saharan Africa. We run SMS because it opens the thread, not because we can show you it lifts anything.

We do not claim a call beats a text

In the best head-to-head comparison available, text reminders and phone call reminders performed the same: risk ratio 0.99, 95% CI 0.95 to 1.02, from 3 studies and 2,509 participants in a Cochrane review of healthcare appointments. Anyone selling you voice on the grounds that it beats SMS is selling you a claim the literature does not support.

It cannot fix cold traffic

The same practitioner source behind the conversion ranges on this page says cold traffic converts typically 30-50% lower across the board. Calling a cold list does not warm it. If your registrants came from an audience that never wanted the session, the fix is upstream of anything on this page.

It cannot fix a high ticket offer that does not sell

Getting more of the right people into the room changes who hears the pitch, not whether the pitch works. On a high ticket offer the pitch is doing most of the work, and if it is not converting the people who already attend, more attendees and more follow-up will not rescue it.

It cannot beat the replay

The most common stated reason for skipping a live session in the operator communities we read is that a recording is coming, not that anyone forgot. No call out-argues that. The one structural counter we found is to run the session as a working session people must be present for rather than as a lecture.

Nobody knows how your buyers react to a disclosed AI call

We looked for published accounts of anyone on the receiving end of one and found none. It is untested rather than established. Disclosure is our position because buyers demand it and because Article 50 of the EU AI Act requires it from 2 August 2026 - but we will not tell you that recipients do not mind.

There is no case study, and no pricing

This offer has zero closed clients. No logos, no testimonials, no results and no dashboard screenshots appear anywhere on this page, because manufacturing them is how this category earned its reputation. Pricing is not published either: the shape depends on list size, cadence and countries, and it is agreed on a call after a pilot is scoped.

Sources for the evidence in those cards: Odegard et al., PLoS One, 2022 for the null two-way SMS result, which states both 6,627 and 4,374 participants for the same 5-trial analysis and covers 31 trials and 28,563 participants all set in Sub-Saharan Africa; Gurol-Urganci et al., Cochrane Database of Systematic Reviews, 2013 for the text-versus-call comparison; and Scale For Impact for the conversion ranges and the cold-traffic caveat.

One more limit that belongs above the fold rather than in a card: more touches is not the answer. Operators have run email, then SMS, then a live human call minutes before, and still watched almost nobody turn up. If a person calling five minutes before does not fix a show up rate, an AI calling cannot claim to either. What changes is how much of the list gets reached at all, in a window a human calendar cannot cover - and what the people you do reach tell you about why they registered. If you want to know what it would take to prove a lift on your own list, the power calculation is on how to test webinar reminder calls.

Frequently Asked Questions

It is a done-for-you AI voice and SMS layer for scheduled live webinars that sell an offer priced high enough to close in a human conversation rather than on a checkout page. We text every registrant who opted in, call before the session to get a concrete plan out of the people we reach, and then work attendees and no-shows while the offer is open. The AI confirms, qualifies and books a qualified appointment. Your closer takes the sales conversation. Every call opens by disclosing that the caller is an AI assistant.
It hands over, always, and that is the design rather than a limitation. The single most useful thing we heard in our buyer panels was an operator saying that AI confirms and schedules while humans sell, and that they would pay more for the version where the AI hands the actual sales conversation to their closers. On a high ticket offer that is right for three separate reasons: the conversation is worth too much to hand to software, it removes the largest legal exposure, and it removes the largest sales objection at the same time. The agent is scoped so it cannot present the offer, discuss price or handle objections, and anything outside that scope goes to a person.
It depends entirely on which funnel step you are measuring, and the two numbers that circulate are not competing estimates of the same thing. For an offer priced $2,000-5,000 and up, a practitioner benchmark puts attendee-to-direct-sale at 1-4% and attendee-to-booked-call at 10-20%. Those count different events: one is a purchase, the other is an agreement to talk, one funnel step apart. Both come from a single practitioner source that discloses no sample size and no method, and the same source says cold traffic converts typically 30-50% lower across the board. Decide first whether you sell on the webinar or sell the call, then use the matching figure - putting them side by side as if you had to pick one produces a plan that is wrong for whichever model you are not running.
Largely, yes, and we would rather concede it than argue with it. A buyer in our panels asked exactly that - show rate is a vanity metric, where are the sales - and the honest answer is that attendance is an input, not an outcome. What we are measured on is coverage: how much of the registrant list was actually reached inside the offer window, and how many qualified appointments were held rather than merely booked. We do not claim the sale, because the sale happens in a conversation we deliberately are not part of. We also will not promise you a show up rate: there is no published show-rate benchmark segmented by traffic source anywhere, so any guaranteed number for your traffic is a number somebody invented.
Lower than the figure you were probably quoted. Published numbers run from about 21% to about 60%, and that spread is not noise - it is several different things being measured and given the same name. The high end almost always measures enterprise marketers emailing their own house list, which is not an operator running paid traffic to a masterclass. The structurally comparable sources converge on a 21% to 34% band, which we use as a planning assumption and not as a benchmark. All of them are US or English-language, and all are vendor or practitioner data rather than peer-reviewed.
It is the objection buyers raise before price, and there is no reassuring statistic to answer it with because nobody has published one. What exists is scope and control. The agent confirms, qualifies and books - it is not built to present an offer, so the class of statement that costs you a deal is outside what it can say. You approve every script before anything dials, with change control on edits. A question outside scope is handed to a named human rather than improvised. You hold a kill switch, and you get the recordings, including the ones that went badly. We would rather you listen to those first.
Yes, and it is how we would rather start. Split your next registrant list down the middle, run the system on one half, and compare. A 50/50 split reads a result far faster than a 90/10 one. It is a credibility exercise rather than a billing mechanism, and it produces the only number that means anything about your list. Be warned about what one webinar can and cannot prove: detecting a realistic lift needs several thousand registrants split evenly, so a single 400 to 600 person webinar can only detect a very large jump. We publish that calculation rather than hide it.
No, and we would rather say so than let you assume it fits. This is built for scheduled live webinars with a defined offer window. On an evergreen funnel the gap between registration and session is often minutes rather than days, deadlines are per person rather than campaign-wide, and calls would fire around the clock across time zones. That is a different product, not a setting on this one. If evergreen is what you run, say so on the call and we will tell you plainly whether there is anything here for you.
The European Union and the United Kingdom. If your registrants are in the United States a different body of telemarketing law governs those calls and this page does not describe it. Under EU rules, registering for a webinar is not by itself consent to a sales call, and calling a no-show to book a sales conversation is a different purpose from confirming attendance - so what your registration form asked for and recorded is what decides whether the follow-up can run. From 2 August 2026 Article 50 of the EU AI Act requires that people be informed they are interacting with an AI system, which every call already does. An objection to direct marketing is absolute under Article 21(3) of the GDPR, so one opt-out stops every channel. This is general information, not legal advice.
We do not publish pricing. The shape depends on your list size, how often you run, which phases you want and which countries the calls land in, and a number quoted before we know those things is a guess with a currency symbol in front of it. What we will describe before any number is the shape of the engagement: one webinar, half the list held back, and a comparison you run on your own data.

Related

JB
Justas Butkus

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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Give Your Closers a Full Calendar, Not a List

Tell us your list size, your offer window, whether you sell on the webinar or sell the call, and where your registrants are. We will do the arithmetic against your numbers instead of the worked example on this page - and if the hours already add up for you, we will say so.

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