The pilot

Split your registrant list down the middle.

Updated

The pilot is one webinar cycle with your registrant list split 50/50 at registration. Half of them get our texts and our calls; the other half get exactly what you run today, with nothing changed. Same ads, same week, same offer, same webinar — and both halves are counted the same way, on show-up rate and on revenue per registrant.

Will you run a test on my own list before I commit?

Yes, and we propose it first rather than conceding it when you push. (For the technically minded: what this is, in the statistician's vocabulary, is a 50/50 holdout.) Anyone who tries to talk you out of running one is telling you something about themselves.

The reason is not confidence. It is that we have no clients yet— no case study, no logo strip, no results dashboard — and we are not going to invent any of it. The only evidence that would reasonably move you is evidence generated on your own list, in your own week, against your own offer. So that is the thing we sell first.

What you would be agreeing to

One webinar cycle. A fixed fee, named on the call. Half your registrants worked, half untouched. Both halves reported to you in the same document, whichever way the numbers come out.

How does splitting your registrant list down the middle actually work?

1

Split at registration, not after

Every registrant is assigned to one of two halves as they come in, before anyone knows how they are going to behave. Assigning after the fact is how a test becomes a story.

2

One half gets worked

We text them, we call them before the session, and we work the ones who did not show afterwards. The assistant says what it is, asks why they signed up, and the later call references what they actually said.

3

The other half changes nothing

Your existing reminder emails keep running exactly as they do now. The comparison is against what you already do, not against sending nothing — which is the comparison most published reminder research quietly makes.

4

Both halves counted the same way

Show-up rate and revenue per registrant, same definitions, same window, both numbers reported side by side. You see the treated half and the untouched half in one document.

Nothing else moves during the cycle. Same ad spend, same creative, same registration page, same replay policy — because the moment two things change at once, neither of us can say which one did the work.

Read the result as directional

Both halves sit in the same webinar, the same chat and often the same retargeting audience, so this is not a clean geographic split and contamination between the arms is structural. A contaminated split should be documented as directional rather than used as the sole basis for a budget decision. That is our own research note on the method, and it applies to our own pilot too.

Why 50/50, and not the 10% I would rather give you?

Because the small control group is the expensive one, and that is counter-intuitive enough to be worth showing rather than asserting. Commercially you want to hold back as few registrants as possible. Statistically, holding back fewer registrants is what makes the test take forever.

2,748
Registrants needed to detect a +5pp difference in show-up rate when the list is split down the middle (80% power, α=0.05, 30% baseline)
7,388
Registrants needed for the same test when only one in ten is held back
~2.7×
How much faster the even split reaches significance. CallHush power analysis, two-proportion z-test
The same test, two ways to configure it
Split down the middle (50/50)Keep a small control (90/10)
Registrants needed to detect +5pp2,7487,388
Time to a readable answerBaselineAbout 2.7× longer at the same volume
Registrants not workedHalf of them, for one cycleOne in ten, for a lot longer
How it feels when you signLike giving up moreLike giving up less
What it actually costsOne cycle of held-back registrantsMonths of not knowing, then a re-run

So the honest configuration and the cheap configuration are the same configuration. That is a rare piece of luck in this business and we are not going to argue you out of the version that reads faster.

The 30% baseline inside that calculation is a planning assumption, not a claim about your list. Where it comes from, and why most published webinar benchmarks are measuring a completely different population, is set out on webinar show-up rate by traffic source.

What gets measured — show-up rate, or revenue per registrant?

Both, reported together, because show-up rate on its own is a vanity metric. Filling a session with people who were never going to buy is a worse outcome than a smaller number who attended live because they had already told someone, in their own words, why they signed up.

  • Show-up rate, treated half versus untouched half, on the same definition of attendance for both.
  • Revenue per registrant, which is the number that decides whether any of this was worth doing.
  • What your registrants said about why they signed up — in their own words, which is the part of the pilot that has value even if the show-up rate disappoints.

Why we will not promise you a number

We are not going to tell you the lift in advance. Proving an incremental effect to invoice-grade certainty takes more registrants than one client produces in a reasonable window, which is exactly why nobody in this category publishes a clean one. The pilot buys you proof and it buys us credibility. It does not buy either of us a guarantee, and a vendor who offers you one is quoting a number they cannot have measured.

If it fails, how will we both know within 30 days?

Within one cycle you will know what happened on your list. Whether you will know it to the standard a statistician would sign off depends entirely on your volume: at 500 registrants a week the figures above land in a matter of weeks, and on a smaller list they do not land inside a month at all. We will tell you which of those you are before you start, not in the readout.

If the treated half does not beat the untouched half, that is the answer. You get the same document either way, you are month to month, and there is no term to serve out while we explain the result away.

Zero
CallHush clients so far. No case studies, no logos, no results dashboard — and none invented
One cycle
The length of the pilot: one webinar cycle at a fixed fee, named on the call
Month to month
The commitment after it. Shortening the term is the first thing we concede, never the price

Run it as an experiment

One webinar cycle. Two halves. Same ads.

Half your registrants get our texts and our calls. Half get exactly what you run today. Then we both look at the same two numbers.

  1. 01

    Split at registration

    Half and half, assigned as they come in, before anyone knows how they will behave.

  2. 02

    One half gets worked

    We text them, we call them before the session, and we work the no-shows afterwards.

  3. 03

    The other half changes nothing

    Your existing reminders keep running. The comparison is against what you already do.

  4. 04

    Both halves counted the same

    Show-up rate and revenue per registrant, side by side, however the numbers land.

  • You approve every line before it sends
  • Month to month, no term
  • A complaint pauses the system
  • A written definition of an attended call
  • Calls are recorded

No price on this page. Ask on the call and you get the number in the next sentence, not after we have heard your ad spend.

Frequently asked questions

The two things people usually want before booking are the wording and the money. The wording is on what it says, the deal shape is on how pricing works, and our standing rule about publishing the calls that went badly is on hear real calls. When you are ready to run the split, book a call.

JB
Justas Butkus

Founder & Operator, CallHush

Founder and operator of CallHush. The offer is one sentence: you run a webinar, and we increase your show-up rate and your post-webinar sales with an AI voice and SMS system. CallHush has no closed clients yet — the first engagement is a pilot run as a split of the client’s own registrant list, and nothing on this site is presented as a client result.

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