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License Pricing Benchmark Database + Pricing Calculator

A private database of anonymized commercial licensing deals (price per asset type, creator experience level, usage rights granted, geographic scope) paired with a calculator that inputs creator's asset type, usage scope, and comparable deals to output a recommended price range with confidence intervals. Creators input their asset details and get a data-backed price recommendation, not guesswork.

SAAS

12 weeks • 70% confidence

Value Proposition

First pricing tool built on ACTUAL deal data from creators, not generic licensing theory. Removes decision paralysis by showing 'creators like you with similar assets priced at $X-$Y range.' Beats generic advice because it's asset-category-specific and based on real market transactions.

Target Audience

Independent digital product creators (graphic designers, font designers, music producers, template creators) earning $5k-$500k annually who sell commercial licenses directly

Key Features

  • Searchable deal database filtered by asset type (fonts, templates, music, graphics), usage scope (single-use, multi-use, resale rights), and creator revenue tier
  • Pricing calculator that cross-references comparable deals and outputs recommended price + confidence score
  • Deal submission form (with privacy controls) so users contribute anonymized pricing data in exchange for calculator access
  • And more, with full implementation detail...

Tech Stack

Next.js or React for calculator UI PostgreSQL for deal database Stripe for subscription billing Google Forms or Typeform for deal intake
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Original Problem

Digital product creators lack clear pricing frameworks for commercial licenses

Creators of digital products (graphics, templates, music, fonts, etc.) struggle to determine fair commercial licensing prices because there are no standardized pricing models or valuation methods. They face uncertainty about what factors to consider, how competitors price similar licenses, and whether their pricing will be competitive or leave money on the table. Current solutions like generic licensing templates don't account for the unique value, usage rights, and market conditions of individual digital products.

Score: 18.4% • 1 demand signal