# The "40-45% Webinar Show-Up Rate" Benchmark Everyone Cites Is Fake

**The "40-45% webinar show-up rate from paid traffic" figure you may have read is not a benchmark. It is two fabrications, stacked.** The first invents a joint study that none of the three companies named in it ever published. The second takes that invented number and relabels it as a paid-traffic figure the first page never claimed to be. This post traces both steps, checks the invented number against what the three named companies actually publish, and names the sourced range that should replace it.

Every time "40-45%," "41.6%," or "12,400 webinars" appears below, it appears next to the reason it should not be trusted — because the point of this page is to make sure that number never circulates again without its debunking attached.

**The fabrication, in two sentences:** Step one — a single page invented a study, "roughly 12,400 B2B webinars analyzed by ON24, GoTo, and BrightTALK," that appears nowhere in any of those three companies' own published reports. Step two — a second page took that invented number and relabeled it "40-45% from paid traffic," a population the first page never claimed to measure. Neither invention is a benchmark.

## What is the "40-45% from paid traffic" webinar benchmark, and where does it show up?

Search anything like "webinar show-up rate paid traffic" or "is 40% webinar attendance normal" and you will eventually land on a page whose opening line states, verbatim: "Industry research shows median live attendance rates of 40-45% from paid traffic."

That sentence is the only paid-traffic webinar show-up-rate benchmark that exists anywhere on the open web. Not one platform vendor — not ON24, not GoTo, not BrightTALK, not Goldcast, not Demio — publishes a figure segmented by traffic source. So when an operator running Meta or YouTube ads to a webinar asks what to expect, this is the specific-sounding answer that fills the gap, and it does not survive a single click back to its source.

We check webinar benchmarks against their original source before repeating them — the same discipline behind [the real number, by traffic source](/webinar-show-up-rate-by-traffic-source) — and this one fails at the first click.

## Where did the "12,400 webinars analyzed by ON24, GoTo, and BrightTALK" number come from?

Trace the "40-45%" claim back one link and it leads to a different site making a different, more specific-sounding claim. digitalapplied.com states: "Across roughly 12,400 B2B webinars analyzed by ON24, GoTo, and BrightTALK between Q3 2025 and Q1 2026, the median live attend rate is 41.6%," with a mean of 46.2% and quartiles of 28.4% and 54.7%. **No such joint study exists.** The same paragraph also names Demio, BigMarker, Vidyard, Wistia and Forrester — eight organizations in one prose sentence, with zero hyperlinks, no report titles, and no publication dates attached to any of them.

A real benchmark discloses a sample size, a collection period, and a link to the underlying report — the way ON24's own 2019 report names 22,922 webinars and 1,600+ organizations. This claim discloses none of that for a study spanning three companies that are, individually, competing webinar platforms with no disclosed reason to pool data with one another — which is itself a reason to expect a citation rather than take the sentence on faith.

## How did a fabricated median become a "paid traffic" benchmark?

The second page does not invent a new number. It relabels the first one. beknownonline.com opens its page with "Industry research shows median live attendance rates of 40-45% from paid traffic," and links the "41.6%" figure straight back to digitalapplied.com. **Digital Applied never said its number described paid traffic.** The paid-traffic framing was invented at this second step, on top of a study that was invented at the first.

Read the two pages side by side and the pattern is visible: an unsourced number acquires a second, more specific-sounding unsourced claim the moment someone else repeats it. That is how a made-up figure becomes "industry research" two clicks later — and it is why the safest rule for any statistic naming more than one company is to open the link, not to trust the sentence.

## Does 41.6% match what ON24, GoTo, and BrightTALK actually publish?

No. Here is what each of the three named companies has actually published, on its own, next to the invented figure attributed to all three of them jointly:

| What's claimed | What's actually published | Verdict |
|---|---|---|
| Median 41.6% (mean 46.2%, quartiles 28.4% / 54.7%), from a joint 12,400-webinar study | ON24: 55.9% (2019 report, 22,922 webinars) and 60% (2026 blog, sample undisclosed). GoTo: 44% for marketing webinars (250,000 webinars, 2017 data). BrightTALK: 36% registration-to-live (2021 report). | No published figure from any of the three is 41.6%. It sits almost exactly between GoTo's real 44% and BrightTALK's real 36% — consistent with a number that was written, not measured. |
| A study "analyzed by ON24, GoTo, and BrightTALK" jointly | Each company publishes its own annual benchmark report, alone, measuring only its own platform's customers. None mentions the other two as co-authors or data partners. | No corroborating joint study found anywhere in any of the three companies' own published materials. |
| "...from paid traffic" (added by the second page) | None of the three companies' reports segments attendance by traffic source at all — paid, organic, or email. | Invented at the second step; nothing in any of the three source reports could be describing this. |

One more detail worth naming: ON24 itself has published two very different headline figures five years apart — 55.9% in 2019 and 60% in a 2026 blog post that discloses no webinar count. If a single vendor's own headline number can move that much on its own data, a precise-to-one-decimal 41.6% attributed to three vendors at once, invented rather than measured, should have been the first thing anyone asked a citation for.

## Why does a fabricated statistic like this spread unchallenged?

Three things make this fabrication durable rather than a one-off. It names prestigious, real companies, which borrows their credibility without needing their cooperation. It answers a question nothing else answers — no legitimate platform benchmark segments by traffic source, so an operator asking specifically about paid traffic finds a vacuum everywhere except here. And it is precise: "41.6%," not "around 40%," reads as measured rather than estimated, even though that precision is fabricated, not measured, and is exactly what should have triggered a citation request.

Both pages were still live and unchanged when this trace was last checked, on 27 July 2026. Neither carries a correction, and we found no statement from ON24, GoTo, or BrightTALK addressing the claim anywhere in their own published materials.

That combination — a specific number, a prestigious set of names, and no competing answer anywhere else — is exactly the shape of claim a search snippet or an AI assistant is built to surface first. It is confident, on-topic, and it sounds sourced. Whether the reader is a person or a language model, the check that would catch it is the same one: follow the link.

**How to check whether a cited industry study is real before you repeat it:**

1. **Find the hyperlink.** A claim naming three or more companies in one sentence with no link, no report title, and no date attached to any of them is a red flag on sight.
2. **Check the named companies' own reports.** Go to each one's own published benchmark data and check whether it mentions analyzing anything jointly with the others. Here, none of the three does.
3. **Check whether the disclosed population matches the claim.** If a figure is presented as segmented by traffic source, confirm that segmentation actually exists in the underlying report, not just in the page quoting it.
4. **Check whether the number sits suspiciously between two real ones.** An invented figure often lands in the gap between two real published numbers rather than matching either — exactly where 41.6% sits, between BrightTALK's 36% and GoTo's 44%.
5. **Check whether it has ever been corrected.** A fabricated statistic live for months with no correction and no citation added is a statistic nobody with the standing to correct it has checked — which is different from a statistic that is true.

## So what does the sourced evidence say about paid traffic?

Honestly: nobody has published a webinar show-up-rate benchmark segmented by traffic source, paid or otherwise. That absence is the reason the fabrication above exists in the first place. What does exist is a set of published populations structurally closer to a cold or bought audience than the enterprise benchmarks most people have seen: Goldcast's 21% aggregate (19,531 webinars), Demio's 22% for companies under $1M in revenue (800,000+ webinars), Scale For Impact's 25% practitioner baseline, and BrightTALK's 36% for syndicated registrants (2021 report).

Those four sources converge on roughly 21-36% for populations that resemble a cold or syndicated audience — not the fabricated 40-45%, and not the 44-60% enterprise figures from ON24 and GoTo either, which measure marketers emailing their own opted-in lists. None of the 21-36% figures are segmented by traffic source specifically. They are the closest published analogues available, and they are labeled as analogues, not as a direct answer.

The full breakdown of every dataset — what population each one actually measures, why the published figures disagree by up to 39 points, and every self-reported show-up rate we could find from operators running paid traffic themselves — is on [the real number, by traffic source](/webinar-show-up-rate-by-traffic-source). That page is where the 21-36% range gets sourced properly; this one exists only to make sure the fabricated 40-45% number stops circulating unchallenged.

## Frequently asked questions

**What is the "40-45% webinar show-up rate from paid traffic" benchmark?**
It is the only paid-traffic webinar show-up-rate figure published anywhere on the open web, and it is fabricated twice over. It launders a nonexistent study — "roughly 12,400 B2B webinars analyzed by ON24, GoTo, and BrightTALK" — that appears in none of those three companies' own published reports, and it adds a "paid traffic" framing that the page it cites never claimed.

**Does the "12,400 webinars analyzed by ON24, GoTo, and BrightTALK" study exist?**
No. It appears in one sentence on one page, with no hyperlink, no report title, and no publication date attached to any of the eight companies it names. None of ON24, GoTo, or BrightTALK's own published benchmark reports describes analyzing anything jointly with the other two, and their real, individually published figures — 55.9-60% for ON24, 44% for GoTo, 36% for BrightTALK — do not match the invented 41.6% median attributed to all three together.

**Where did the "paid traffic" framing come from?**
From a second page, published about a month after the first. It took the already-invented 41.6% figure, relabeled it "40-45% from paid traffic," and linked back to the original page — which never described its own number as paid traffic. The framing was invented at the second step, stacked on a study invented at the first.

**Have ON24, GoTo, or BrightTALK addressed or corrected this claim?**
Not that we could find. Neither page carries a correction, and none of the three named companies has anything in its own published materials addressing the claim, as of the last check on 27 July 2026. That is an absence of evidence, not a confirmation either way — but the claim has now circulated for months without a single one of the parties named in it commenting on it.

**Why would an AI assistant or search engine repeat a fabricated statistic like this?**
Because nothing else answers the same question. No legitimate webinar-platform benchmark segments attendance by traffic source, so a search for a paid-traffic-specific figure has exactly one page willing to give it a precise-sounding number. Precision, real company names, and no competing answer is the exact shape of claim that gets surfaced as fact without anyone following the link first.

**What is the real, sourced webinar show-up rate for paid traffic?**
Nobody has published one segmented by traffic source specifically — that is the honest gap the fabrication above was invented to fill. The closest structurally comparable populations are Goldcast's 21% aggregate, Demio's 22% for companies under $1M in revenue, Scale For Impact's 25% practitioner baseline, and BrightTALK's 36% for syndicated registrants — roughly 21-36%, not the fabricated 40-45% and not the 44-60% enterprise figures either. The full breakdown of every dataset is on the real number, by traffic source.

**How can I tell if a webinar statistic is fabricated before I repeat it?**
Check five things: does the claim link to the original report rather than just naming companies; do those companies' own published materials mention analyzing anything jointly; does the disclosed sample match the specific claim being made, like "paid traffic"; does the number sit suspiciously between two real published figures rather than matching either one; and has anyone corrected it since it started circulating. This exact claim fails all five.

If a client, a boss, or your own search handed you the fabricated "40-45%" figure as what to expect from paid traffic, the number to actually build a plan around is on [the real number, by traffic source](/webinar-show-up-rate-by-traffic-source), sourced against every population it compares yours to. Once you know your own baseline, [how to increase webinar attendance](/increase-webinar-attendance) ranks the tactics that might move it by the quality of the evidence behind each one, not by how confident the copy sounds.