Strategy question
How would you price Claude's Max plan ($100-200/mo) to maximize revenue without cannibalizing Pro?
- Anthropic
- Strategy
- Hard
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What this question tests
Tests pricing strategy for a premium tier: capturing willingness to pay from power users without cannibalizing an existing lower tier.
How to approach it
- Identify who the Max tier is for: heavy users hitting usage limits on Pro, like developers running long agentic sessions or power users doing extensive daily work.
- Diagnose the cannibalization risk: if Max simply removes limits Pro users already rarely hit, most upgrades come from moving existing revenue up rather than growing it.
- Anchor Max around a distinct need, not just more of the same: significantly higher usage caps plus access to capability Pro genuinely lacks, like higher priority processing or extended context.
- Use usage data to price the gap correctly: price Max just above the value of the incremental usage a heavy user actually needs, avoiding pricing so high it deters real heavy users.
- Segment messaging clearly so casual Pro users are not nudged to overspend on Max, while genuinely usage constrained users see a clear reason to upgrade.
What a strong answer includes
- Explicitly names the cannibalization risk and proposes gating Max behind a real usage ceiling on Pro, so the upgrade path is triggered by genuine need, not marketing.
- Grounds the price in observed usage data, for example the token or session usage of the top 5 percent of Pro users, rather than picking a number in the abstract.
- Distinguishes value based pricing, more capability, from pure capacity pricing, more of the same, arguing Max needs a bit of both to justify the premium.
Common mistakes
- Pricing Max without referencing real usage data on what heavy users actually consume.
- Ignoring cannibalization entirely, assuming all Max revenue is additive.
Likely follow-up questions
- How would you know if Max was mostly cannibalizing Pro rather than growing revenue?
- What would you do if heavy users still found 200 dollars too expensive?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop