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Software Adoption Data

Software Adoption Data SaaS Growth Intelligence

Software deployment signals, product review velocity, and SaaS adoption metrics providing institutional investors with early indicators of technology company revenue growth, competitive positioning, and market share shifts.

Frequency Weekly
History 2015+
Products 100K+ tracked
Coverage Global

Software adoption analytics providing institutional-grade signals on product traction, competitive displacement, and SaaS revenue growth before it appears in reported financials.

Review Velocity Tracking

Track the rate of new product reviews on G2, Capterra, Trustpilot, and the App Store as a leading indicator of customer acquisition and product-market fit.

Deployment & Integration Signals

Monitor software job postings, API usage signals, and integration marketplace activity as proxies for enterprise deployment breadth.

Mapped to Public Companies

All signals are normalised and mapped to 50,000+ listed equities globally, with consistent identifiers and update schedules so you can integrate directly into existing research workflows.

Leverage Software Adoption Data data across multiple investment strategies and research workflows. All signals are mapped to public companies for direct integration into equity research.

SaaS Revenue Growth Forecasting

Track product review velocity, Net Promoter signals, and trial-to-paid conversion indicators to build independent SaaS ARR growth estimates ahead of earnings.

  • ARR growth signals
  • Net expansion indicators
  • Churn risk detection
  • Customer acquisition velocity

Competitive Displacement Detection

Identify when a software product is gaining or losing ground to competitors by comparing review rates, ratings trends, and category share of voice across review platforms.

  • Competitive share tracking
  • Category displacement signals
  • Win/loss trend analysis
  • Platform migration detection

Technology Sector Due Diligence

Validate investment thesis on software companies using adoption signals as an independent verification layer alongside financial data.

  • Thesis validation
  • Management guidance verification
  • Product-market fit assessment
  • Enterprise vs SMB adoption split

BUILT BY INVESTORS, FOR INVESTORS