Brunson lays out his entire weekly business as five lines of arithmetic. Not a strategy, not a philosophy — a stack of numbers you could write on a napkin.1
"$3 Per Registrant. 1,000 Registrants Per Week ($3k Ad Spend). 25% Show-up Rate (250 People). 10% Close Rate @ $997 (25 Sales / $25k). Double Sales on Follow-Up Replays (Additional $25k)."2
Read down the stack and the result falls out: $3,000 in, $50,000 out, every week, plus 1,000 new names on the list.3
That's the whole engine in one column. And its value isn't the specific numbers — it's that once you know your numbers, the business stops being a mystery and becomes a machine you can tune. Every dial is visible: cost per registrant, show rate, close rate, replay lift. Move any one and you know exactly what happens to the $50k.
Walk down it slowly, because each line is a conversion step where people fall away.
You spend $3,000 on ads at $3 per registrant, so 1,000 people register.4 But registering isn't showing up — only 25% attend live, leaving 250 in the room.5 Of those 250, you close 10% at $997, so 25 people buy and you make $25,000 on Thursday night.6
Then the replay window roughly doubles it. The Friday-through-Sunday follow-up brings in another $25,000 from people who didn't buy live.7 Total: $50,000 on a $3,000 spend.
Notice how much attrition is baked in as normal. You pay for 1,000 and 750 never show. You get 250 in the room and 225 don't buy. The model doesn't fight this — it assumes it, and still prints money, because the 25 who buy at $997 each dwarf the $3,000 it cost to find all 1,000.
The single number Brunson watches most is the close rate, and he gives it a ladder.8
At a 5% close rate, "you have a good webinar and are likely going to be profitable on the front end."9 You're covering your ad spend from the live sales — the business sustains itself.
At 10%, "you have a million-dollar-a-year webinar."10 Double the close rate and you've crossed from sustainable to genuinely lucrative.
At 15%, Brunson says, "we did just shy of $10 million the first year."11 Another five points and you're at ten million.
The ladder shows how leveraged the close rate is. It didn't take ten times the traffic to go from a good webinar to a $10M one — it took the close rate climbing from 5% to 15% on the same traffic. Which is exactly why the model insists on running live dozens of times: every point of close rate is worth a fortune at scale, and close rate only climbs through relentless live refinement.
There's a smaller, sharper number Brunson tracks in real time. At the 60-minute mark, when he transitions from teaching to pitching, he counts how many people are still on the webinar and bases his projection on that.12
"So if I have 250 people who are still on the webinar when I start the pitch... and I know that I typically close 15%, I'll probably make about $37,500."13
This is a telling detail. The close rate is calculated against who survives to the pitch, not who registered or even who showed up. The people who left during the content don't count against the close rate — which quietly makes the number look better, and also makes "keep them on past the 60-minute mark" its own optimization target. The metric is defined at the point most favorable to it.
The stack has four dials — cost per registrant, show rate, close rate, replay lift. They're not equally powerful, and seeing which matters most changes how you'd run the business.14
Cost per registrant caps at the low end — you can't pay less than free, and Brunson flags anything above $7–8 as a warning that something's broken. It's a floor to defend, not a lever to pull.
Show rate is a multiplier on everyone: lift it from 25% to 35% and every downstream number scales with it, which is why the model pours effort into reminders and indoctrination. But show rate has a ceiling too — you'll never get 100% of registrants to attend.
Close rate is the dial with the most room and the most leverage. It ran the whole distance from a sustainable business (5%) to $10M (15%) with no change in traffic. That's the case for the vault's own "show rate as primary leverage" position getting complicated: Brunson's ladder suggests close rate, not show rate, is where the money is made once you're in the room — though show rate is what decides how many are in the room to begin with. The honest reading is that they multiply, and the model works both hard, but the close-rate ladder is where the eye-watering numbers live.
The framework is genuinely useful — knowing your unit economics is the difference between running a business and hoping. But the specific numbers deserve suspicion.
Every figure is self-reported, from a source selling the software the model runs on. The $50k-per-week, the $10M year, the "double on replays" — none is independently verified, and all carry the book's 🚩 motivated-reasoning flag. A tidy napkin math that always resolves to a 16x return is a sales artifact as much as an operating manual.
And the metric definitions flatter themselves. Close rate calculated against pitch-survivors rather than registrants makes the headline number look far better than "sales divided by everyone you paid to reach." A prospect reading "10% close rate" imagines 10% of the people who registered, when it's 10% of the smaller group who stayed 60 minutes — which might be 2–3% of the paid registrants. The math is real; the framing is optimized.
You're running the weekly model. Now you make it a measured machine.
You track all four dials every week: what you pay per registrant, what percent show up, what percent of the room buys, and how much the replays add. You write them in a column like Brunson's, so the whole business is one visible stack.
You defend the floor — if cost per registrant climbs past $7–8, something's broken upstream (targeting, page, message), and you fix that before anything else. You pour effort into show rate, because it multiplies everything below it. And you grind the close rate live, because that's the dial with the most headroom and the most leverage.
Then the honesty gate, aimed at yourself this time. Define your metrics against the honest denominator — sales over registrants, not sales over survivors — so you don't flatter yourself into thinking a 3% real conversion is a 10% one. And treat any tidy 16x napkin math with suspicion, including your own: the model that always resolves to a beautiful number on paper is the one most likely to hide where it actually leaks.
Knowing your numbers means tracking real conversion at each step against honest denominators, so you can see where the funnel actually leaks and which dial to turn.
Believing a sales sheet means adopting someone's tidy 16x napkin math as if it described your business, with metrics defined at their most flattering point and figures that always resolve to a beautiful return.
The test is whether the numbers are yours and measured against the honest base. If your close rate is sales over everyone you paid to reach, and it's a number you tracked rather than one you inherited, you know your economics. If it's 10% of pitch-survivors quoted from a book, you're reading a brochure, not a balance sheet.
The framework is Brunson's own operating model.15 Every figure is self-reported by a source selling the enabling software, and the close-rate metric is defined against pitch-survivors rather than registrants.
Tension: knowing your unit economics is genuinely essential, and the specific numbers here are a sales artifact — the same napkin math that teaches a real discipline also always resolves to a 16x return, which is exactly what you'd expect from a pitch.
Second tension: the close-rate ladder implies close rate is the primary lever, while the vault's existing sales corpus argues show rate is. The honest resolution is that they multiply — but the model's headline numbers come from the close-rate dial, which is also the one whose definition most flatters itself.
Open question: if close rate is measured against pitch-survivors, and "keep them past 60 minutes" becomes its own target, does optimizing the metric start to diverge from optimizing the business — selling harder to a shrinking, self-selected room rather than converting the audience you actually paid for?
Convergence with the-weekly-webinar-model and the-replay-window-doubles-sales pages is direct — this page is the arithmetic under the model, and the "double on replays" line is a whole page on its own. The weekly model provides the cadence; these economics show why the cadence pays.
The tension with Brunson's own close-rate emphasis and the vault's show-rate page is a genuine, unresolved disagreement about which lever matters most — preserved rather than smoothed. Brunson's ladder makes close rate the hero; the vault's sales corpus makes show rate primary. Both are partly right, because the two multiply, but the book never states the multiplication cleanly, letting the dramatic close-rate numbers imply a primacy the full math doesn't quite support.
To Show Rate as Primary Leverage vs Close Rate. The vault's sales corpus argues show rate is the primary lever — get more of the people you paid for into the room, and everything downstream scales. Brunson's close-rate ladder seems to argue the opposite: the money ran from $1M to $10M on close rate alone.
What emerges only in the overlap: the two aren't rivals but factors — total sales is show rate times close rate times registrants, so whichever is currently lowest is your real lever, and the model's own numbers show both being worked simultaneously. The show-rate page makes its case in isolation; Brunson's ladder makes the opposite case in isolation; put side by side, they reveal that the argument "which lever matters most" is malformed — it depends on which is furthest from its ceiling right now. Show rate caps below 100% and is worked through reminders; close rate has more headroom and is worked through live reps. On its own, neither page shows that the "primary lever" framing itself is the error: a funnel has no single primary lever, only a current bottleneck, and the discipline is finding this week's.
To Narrow Framing. Brunson's weekly goal — 1,000 registrants, $50k — is a narrow frame: a repeating short-horizon target that shapes daily behavior. The whole team orients around hitting the week's number.
Read side by side, they yield this: the weekly frame is what makes the model executable, but it's also what could hide slow decay — a business obsessed with this week's $50k might miss that its cost-per-registrant is creeping up quarter over quarter as the market saturates. The narrow-framing page shows how short-horizon targets drive behavior and distort judgment (people check portfolios too often, chase daily goals). This page shows the same frame powering an operation: the weekly number is motivating and measurable, which is why the model uses it. But the same narrowness means the long trend — audience exhaustion, rising traffic costs — lives outside the frame the operator watches. On its own, neither page shows that the reporting cadence which makes a business runnable is also the one that can blind it to the multi-month erosion no single week reveals.
Sharpest implication. The entire weekly business is five lines of arithmetic — $3k in, $50k out — and its real value is that it turns the business from a mystery into a tunable machine with visible dials: cost per registrant, show rate, close rate, replay lift. The close-rate ladder is where the drama lives: the same traffic went from a self-sustaining webinar (5%) to a $10M one (15%), which is why the model grinds live reps to buy every point. But two cautions ride the numbers. First, they're self-reported by a source selling the software, and napkin math that always resolves to 16x is a sales artifact as much as an operating manual. Second, the close rate is defined against pitch-survivors, not registrants — so "10% close" might be 2–3% of the people you actually paid to reach, and "keep them past 60 minutes" becomes a metric-gaming target that can drift from actually converting your audience. The framework's discipline is real and worth adopting; the specific figures and their flattering denominators are worth distrusting, including in your own reporting. Know your numbers — and know which base you measured them against.
Generative questions.
If close rate is measured against pitch-survivors and "keep them past 60 minutes" becomes its own target, at what point does optimizing the metric diverge from optimizing the business — selling harder to a shrinking self-selected room rather than the audience you paid for?
A funnel has no single primary lever, only a current bottleneck — so is the whole "show rate vs close rate" debate a category error, and would operators make better decisions if they asked "which factor is furthest from its ceiling this week?" instead of "which matters most?"