Brunson's rule for the stack: the total value of the offer's elements should sum to at least ten times the price.1
Sell a $97 product, and the stack should show at least $997 of value. Sell a $997 product, and the stack should reach $9,997.
If the value doesn't hit ten times, add more valuable elements until it does.2
The ratio makes the price feel like a steal.
The buyer compares $97 to $997 of value and concludes they're getting ten dollars of value for every dollar spent.
The specific ratio matters because it's engineered to overwhelm price resistance, not just exceed it.3
A 2x ratio ($97 for $194 value) is a modest deal — the buyer might still hesitate, weighing whether the value is real. A 10x ratio short-circuits the weighing: at ten-to-one, the deal is so lopsided that the buyer stops evaluating whether each element is worth its stated value and just registers "overwhelming bargain."
The excess is the point. Ten times isn't the honest markup of value over price; it's the ratio at which the price becomes almost irrelevant next to the value, so price resistance collapses. The buyer isn't meant to check whether the $997 of value is real — they're meant to feel the ratio is so favorable that checking is unnecessary.
So the ten-times rule is a psychological threshold, not an accounting fact. It's the point where value so dwarfs price that the price stops being the decision variable. Which is exactly why it pressures inflation: the goal is to reach ten times by whatever means, and if the real value doesn't get there, the assigned values must.
Brunson offers a specific move for assigning values, and it's where the inflation is licensed.4
Some people worry about assigning a value to each element. Brunson says: think of it not as the price you'd sell it for, but the value they get from it — what the results would be worth to them.5
This reframing is clever and slippery. "What the results are worth to them" has no ceiling — a template that helps someone build a business could be valued at "the worth of the business," which is enormous and unfalsifiable. By shifting from market price (checkable) to results-value (speculative), the reframe licenses arbitrarily high element values.
The honest version: the element genuinely produces results worth roughly the assigned value, and the valuation, while generous, is defensible. The manipulative version: the results-value framing is used to assign any number that makes the stack reach ten times, because "what it's worth to them" can justify almost anything. The reframe is the mechanism by which the ten-times rule gets met through inflation rather than genuine value — it replaces the checkable question (what's the market price?) with an unanswerable one (what could the results be worth?).
Trace the incentive the rule creates, because it structurally produces inflation.6
You've built a genuine offer. You price it at $997. Now the rule says the stack must show ~$10,000 of value. You add up your real elements' genuine values and reach... $4,000. You're $6,000 short of the ratio.
The rule now gives you two options: add $6,000 of genuine additional value (hard, costly), or assign higher values to existing elements using the "what it's worth to them" framing (easy, free). The incentive points overwhelmingly at the second. The path of least resistance to a ten-times stack is inflating the numbers, not adding value.
This is why ten-times stacks so often contain suspiciously round, large values — $2,000 for a PDF, $5,000 for a video series. The values aren't market prices; they're numbers reverse-engineered to hit the ratio. The rule sets a target (ten times) and the results-value reframe removes the constraint (checkable prices), so the numbers inflate to meet the target. The ten-times rule and the results-value reframe together are an inflation machine — one sets an aggressive target, the other removes the honesty constraint that would prevent meeting it dishonestly.
The rule isn't purely manipulative — there's a real insight it can serve honestly.7
Genuinely valuable offers are often underpriced relative to their results, and buyers systematically undervalue what they can't yet see the results of. A course that will make someone $50,000 is genuinely worth far more than its $997 price, and showing that value-to-price gap helps the buyer see a real bargain they'd otherwise miss.
For such an offer, the ten-times display is honest — it communicates a real gap between price and results-value. The buyer of a genuinely transformative $997 program really is getting far more than $997 of value, and the stack makes that visible.
The line is whether the results-value is real. When the offer genuinely produces results worth ten times the price, the ratio is honest communication of a real bargain. When the offer doesn't, the ten-times rule and results-value reframe manufacture the appearance of a bargain that doesn't exist. The rule serves honest underpriced offers and inflates dishonest ones, and the results-value framing — checkable-price replaced by speculative-worth — is what makes it impossible to tell which from the numbers alone.
Brunson has a subtler move that partly sidesteps the inflation problem: instead of assigning the value yourself, get the buyer to name it.7b
Before revealing the price, he asks the buyer what the end result would be worth to them — "if you had a successful funnel making you money, what would that be worth?" The buyer names their own number, which is usually large, and now the price is compared to a value the buyer supplied, not one the seller asserted.
This is cleverer than seller-assigned values because it's harder to resist. A buyer might discount the seller's "$10,000 value" as marketing, but they can't easily discount their own estimate of what the result is worth. By getting the buyer to name the value, the ten-times gap is established with the buyer's own numbers.
It's also, for the same reason, more insidious. Seller-inflated values are at least visibly the seller's claims, which a buyer can distrust. Buyer-named values feel authoritative because they're the buyer's own — but they're elicited by a leading question at a moment of high emotional investment, so the "buyer's own number" is really the seller's frame producing a number the buyer then owns. The honest version elicits a realistic value the buyer genuinely believes; the manipulative version prompts an inflated one at peak emotion, which the buyer then can't dismiss because it's theirs. This is let-them-conclude-it applied to valuation — the most persuasive value is the one the buyer names, which is exactly why the technique gets them to name it.
You're assigning values to your stack elements.
Aim for the value to genuinely reach ten times the price — but reach it through real value, not inflated numbers. If your genuine element values fall short of the ratio, that's information: either add real value or lower the price, don't inflate.
Resist the pull of "what it's worth to them" as a license for arbitrary numbers. Results-value is legitimate when the results are genuinely worth roughly the assigned value; it's inflation when it's used to justify any number that hits the ratio.
Check whether each value would survive scrutiny. Could you defend the $2,000 value on that element to a skeptic? If it's a number reverse-engineered to reach ten-times rather than a defensible worth, it's inflated.
Then the honesty gate: the ten-times rule plus the results-value reframe is an inflation machine — aggressive target, removed constraint. Only display a ten-times ratio when the offer genuinely produces results worth ten times the price. If it doesn't, showing ten times manufactures a bargain that doesn't exist, and the buyer compares the price to a fiction. An honest underpriced offer earns the ratio; a padded one fakes it.
A real ten-times ratio communicates a genuine gap between price and results-value for an offer that truly produces those results — an underpriced transformative program whose value the buyer would otherwise undervalue. The display helps them see a real bargain.
A manufactured ratio reaches ten times through inflated element values, using "what it's worth to them" to assign numbers reverse-engineered to hit the target. The buyer compares the price to a fiction and feels a bargain that isn't there.
The test is whether each element's value would survive a skeptic's scrutiny and whether the offer genuinely produces the results claimed. If the values are round numbers reaching a target rather than defensible worths, the ratio is manufactured.
The ten-times rule is Brunson's practitioner heuristic; the underlying insight (valuable offers are often underpriced, buyers undervalue future results) is real.8 The results-value reframe and the specific ratio are his.
Tension: the ten-times rule (aggressive target) plus the results-value reframe (checkable price replaced by speculative worth) function together as an inflation machine — one sets the target, the other removes the constraint. The rule serves honest underpriced offers and manufactures fake bargains for padded ones, indistinguishable from the numbers alone.
Second tension: the excess ratio (ten, not two) is engineered to stop the buyer evaluating whether values are real — at ten-to-one, the deal is so lopsided that checking feels unnecessary. The ratio is designed to short-circuit the scrutiny that would catch inflation, which is convenient for inflated stacks.
Open question: since the results-value reframe replaces a checkable question (market price) with an unanswerable one (worth of results) and the ten-times ratio is designed to discourage checking, is there any way for a buyer to distinguish a real ten-times bargain from a manufactured one — or does the rule's design specifically defeat the evaluation that would tell them apart?
Convergence with the stack and stack-slide pages is total — the ten-times rule is the value target the stack slide must reach and the stack re-displays. It's the norm governing element valuation.
The tension with the vault's value and pricing corpus is the inflation one, sharpest here. The vault treats value as real and prices as its honest communication; the ten-times rule sets an aggressive target and the results-value reframe removes the honesty constraint, together pressuring manufactured value. The rule can serve a genuinely underpriced offer honestly, but its design — high target, unfalsifiable valuation, anti-scrutiny ratio — tilts it toward inflation, which the vault marks as the recurring pattern of Brunson's offer-construction techniques.
To The Stack. The ten-times rule sets the total the stack re-displays. The stack anchors the price against the total; the ten-times rule determines how large that total is.
Held together: the stack and the ten-times rule are the anchoring mechanism and its target — the stack makes the total salient at the moment of price comparison, and the ten-times rule ensures the total is large enough to make the price feel trivial. The stack page covers the re-display; this page covers the value target. Neither states it alone: the stack's power (anchor the price against the total) depends on the total being large, which is the ten-times rule's job — and both amplify whatever values they're given, so an inflated total anchored by re-display makes a fiction feel like an overwhelming bargain. The two techniques compound: inflate the total (ten-times), then make it salient (stack).
To Emotion First, Logic as Justification. The ten-times ratio is the ultimate justification-armor — a value so far above the price that the buyer's logical mind has an overwhelming reason to defend the emotional decision.
The insight neither reaches alone: the ten-times ratio manufactures maximal justification-armor — an emotionally-decided buyer defends the purchase with "I got ten dollars of value per dollar," the strongest possible logical cover. The emotion-first page explains buyers use logic to defend decisions; this page shows the ten-times rule producing the most defensible-possible logic. Together: the emotional story makes the decision, and the ten-times stack hands the buyer the overwhelming value-ratio they'll cite to justify it — which is exactly why inflated values are so tempting, because a bigger ratio is better armor, and the buyer using it to defend rather than decide won't check whether it's real.
Sharpest implication. The ten-times rule is a psychological threshold, not an accounting fact — the ratio at which value so dwarfs price that the price stops being the decision variable and the buyer stops evaluating whether each element's value is real. The excess is the point: ten-to-one is engineered to short-circuit the weighing, not just exceed it. And the "value they get, not value you'd charge" reframe is where inflation gets licensed — it replaces a checkable question (market price) with an unanswerable one (what could the results be worth?), which has no ceiling. Together the aggressive target and the removed constraint form an inflation machine: the rule demands ten times by whatever means, and since adding real value is hard while assigning bigger numbers is free, the path of least resistance is inflating the numbers — which is why ten-times stacks so often contain suspiciously round, large values reverse-engineered to hit the ratio. The rule honestly serves genuinely underpriced transformative offers and manufactures fake bargains for padded ones, and its design specifically defeats the scrutiny that would tell them apart.
Generative questions.
Since the results-value reframe replaces a checkable question with an unanswerable one and the ten-times ratio is designed to discourage checking, is there any way for a buyer to distinguish a real ten-times bargain from a manufactured one — or does the rule specifically defeat that evaluation?
If the honest use requires a genuinely underpriced transformative offer and the ratio is designed to stop scrutiny, does competitive pressure mean inflated ten-times stacks outcompete honest ones — making manufactured bargains the market norm and training buyers to discount all value claims?