The Acceptable / Expensive / Prohibitively Expensive Price Ladder
Three questions that reveal both a price range and the psychological cliffs you must hide behind.
- Difficulty
- Easy
- Time to result
- ~days to results
- Steps
- 4
- Confidence
- 92%
After pitching the value of an unlaunched product, ask a customer three escalating price questions: what is an acceptable price, what is an expensive price, and what is a prohibitively expensive price. Run at scale, the answers map to a demand curve with visible cliffs — points (like 99 to 101) where a large chunk of respondents flip to 'expensive'. Those cliffs are psychological thresholds, and the job is to price just underneath them.
Origin
A Simon-Kucher method refined across thousands of pricing projects and published by Madhavan Ramanujam in Monetizing Innovation (chapter 4, on how to have the willingness-to-pay conversation). Rahul Vohra of Superhuman read the book, applied this exact method, and used it to arrive at Superhuman's $30 price point — a case he later described publicly.
Core principles
- 01Acceptable = they love the product AND love the price — a no-friction, no-brainer price suitable in true growth mode.
- 02Expensive = the value-priced level: neutral reaction, they don't love you, they don't hate you, they'd pay.
- 03Prohibitively expensive = they laugh you out of the room.
- 04Prices are perceived against psychological thresholds, not smooth curves — demand falls off cliffs, not slopes.
- 05The three questions are worthless without the value pitch that precedes them.
How to run it
- 1
Deliver the full value pitch first
Run the same sales and marketing conversation you would run after launch: the benefits, the outcome, the ROI. This primes the respondent to price against value rather than against nothing.
Watch out Skip this and you are just collecting random numbers from unprimed people.
- 2
Ask the three questions in order and record all three
Ask 'what is an acceptable price for this?', then 'what is an expensive price?', then 'what is a prohibitively expensive price?'. Let them lowball on the first — clock it and move on. The spread between the three is the usable range.
Pro tip Everyone negotiates with themselves on the acceptable question. Don't argue — the second and third questions correct for it.
- 3
Run it at scale and plot the cliffs
Aggregate the responses into a demand curve and look for discontinuities — points where crossing from, say, 99 to 101 flips 20-30% of respondents into 'expensive'. Those are your psychological thresholds.
Pro tip Common thresholds recur: $29-30 (people equate it to a dollar a day), and $9.99 for subscriptions. But verify per category — anchors depend on competitive alternatives.
- 4
Price just below the threshold, not at the statistical optimum
Hide behind the psychological threshold. A model-optimal price a few dollars over a cliff destroys more demand than it captures.
Pro tip Retest thresholds when you add add-ons, price structures, or a platform-plus-usage model — the thresholds shift.
Watch out No universal rule of thumb exists. You must test for your own product and category.
In the wild
Rahul Vohra of Superhuman read Monetizing Innovation and applied this quick-and-dirty threshold method rather than guessing at a price or copying competitors.
→ It produced Superhuman's $30/month price point, which became one of the most-cited premium consumer SaaS prices in the category.
A three-tier SaaS company (49/79/149) ran the acceptable/expensive exercise and found that demand was inelastic between 79 and 99, with the real threshold sitting at 99 — not at 79 as they had assumed. They moved the middle plan to 99 and the top plan to 199 on the same reasoning.
→ Combined with packaging discipline and a decoy tier, the repricing drove a 30%+ increase in MRR and ARPU with no product or feature changes.
Common mistakes
Asking only 'what would you pay'
A single question gives one lowballed number and no range. The three-question ladder separates the no-brainer price from the value price from the laugh-you-out-of-the-room price.
Optimizing past a threshold
You can do all the quant you want and land on a price that sits just over a psychological cliff. If you didn't map the cliffs, your 'optimal' price is quietly destroying demand.
Is it for you?
Best for
A founder or PM who needs a defensible price point in days, without the budget for a full conjoint study.
Not ideal for
Complex enterprise deals with heavily negotiated, bespoke pricing where no list price exists.
From the transcript
“then you ask them what do you think is an acceptable price for this Innovation”
“acceptable prices the price where people not only love the product but they also love the price”
“to come up with his 30 price point for the Superhuman app”
“if you actually cross you know you have a perception of being expensive”
From the episode
The art and science of pricing
Madhavan Ramanujam (Monetizing Innovation, Simon-Kucher)