Pricing Database Research

A business that collects and organizes pricing data from software companies, particularly focusing on enterprise software where pricing is often hidden or requires demos to obtain. The data would be sold to product teams and chief revenue officers to inform their pricing strategies.

Key Points:

• Data Collection Methods:

  • Crawl public SaaS pricing pages
  • Use Mechanical Turk or similar services to gather data
  • Hire people to pose as potential customers to get enterprise pricing
  • Contact actual customers to get real pricing data

• Target Market:

  • Product teams at software companies
  • Chief Revenue Officers
  • Companies trying to benchmark their pricing against competitors

• Revenue Model:

  • Start pricing at $20,000-50,000 per year
  • Focus on selling to large companies/executives
  • Avoid low-price offerings that attract high-maintenance customers

• Competitive Advantage:

  • Most people won't do the manual work required
  • Creates valuable private data asset
  • Helps companies make pricing decisions with real market data instead of guessing

• Initial Strategy:

  • Start with public pricing data
  • Build basic database to show potential
  • Give prospects a "taste" of the data to demonstrate value
  • Gradually add private pricing information to increase value