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Value-based price from a value buildup

A defensible price anchored to the value you create over the next-best alternative, with the customer-surplus check, capped at the value delivered.

You receive: A reviewed value-based-price calculator + the passing test report, run on your value buildup.

Part of Set My Price

Example

A sample of what this play produces. Your result is generated for your inputs.

90Total value
40Incremental value
40Recommended price
50Customer surplus

Breakdown

Plays delivered
60
Review time saved
20
Fact reuse across runs
10
Inputs
Value components
  • 60
  • 20
  • 10
Next best alt value
50
Next best alt price
20
Value split fraction
0.5

Arithmetic recomputed against the tasks.py compute_value_based_price oracle, 2026-10-12: total value 60 + 20 + 10 = 90; incremental value over the next-best alternative 90 - 50 = 40; recommended price min(20 + 0.5 * 40, 90) = 40, with the cap at the value delivered not binding; customer surplus 90 - 40 = 50. The buildup is an illustrative monthly value case for an active STUD buyer on prepaid credit packs, running about 1.25 plays a month at the typical 500-credit ($20) price (plays delivered 60, review time saved 20, fact reuse across runs 10), priced against a general-purpose AI chat assistant at 20 a month whose drafts the buyer must check themselves. That buyer actually spends about 25 a month on packs in the illustrative launch scenario; the 40 here is the value-anchored monthly ceiling this buildup supports, not a pack price.

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