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Documentation Index

Fetch the complete documentation index at: https://docs.rolearn.dev/llms.txt

Use this file to discover all available pages before exploring further.

The Revenue Simulator helps you estimate how much a Roblox game could earn based on its player engagement and monetization setup.

How It Works

The simulator uses machine learning trained on real Roblox marketplace data. Input your expected metrics and get revenue projections across conservative, expected, and optimistic scenarios.

Inputs

ParameterDescription
Average CCUExpected concurrent players
Gamepass countNumber of gamepasses offered
Average gamepass priceMean price across all passes
GenreGame genre (affects conversion rates)
Engagement scorePlayer retention/engagement estimate

Output

  • Monthly revenue estimate with confidence range (conservative / expected / optimistic)
  • Revenue breakdown by gamepass tier
  • Comparison against genre average revenue
Use the Revenue Simulator alongside Game Benchmarking to see how your projected revenue compares to genre norms.

Plan Limits

PlanDaily Simulations
Explorer
Builder5
StudioUnlimited

Frequently Asked Questions

The simulator provides estimates based on real marketplace patterns. Actual revenue depends on many factors including your game’s retention, monetization design, and player demographics. Use the conservative estimate for planning and the optimistic estimate as a stretch goal.
The biggest factors are CCU (more players = more potential buyers), gamepass pricing strategy, number of monetization options, genre (some genres convert better), and player engagement depth.
Revenue varies enormously. Games with 1K CCU typically earn in the low thousands per month, while games with 100K+ CCU can generate tens of thousands monthly. The simulator helps you model specific scenarios for your game.