PLATFORM ECONOMICS

Revenue Model & Unit Economics

The model is designed to scale efficiently.

RIFT combines high-frequency execution infrastructure with automated trading systems, increasing turnover, retention, and revenue per account while maintaining low user costs.

PLATFORM ECONOMICS

Revenue Model & Unit Economics

The model is designed to scale efficiently.

RIFT combines high-frequency execution infrastructure with automated trading systems, increasing turnover, retention, and revenue per account while maintaining low user costs.

Revenue Engine

RIFT Builder Fee

0.1%

10 basis points

Compared with:

Typical Telegram trading bots: 0.5% – 1.0%

RIFT delivers institutional-level execution costs for retail traders.

Platform Retention

≥ 66.7%

Platform retention after affiliate payouts.

Estimated effective retention:

~80%

This creates a highly efficient revenue capture model.

Revenue Formula

Revenue is generated from trading activity across the platform.

Revenue =

× Active Users

× Trades per Day

× 30 Days

× Average Balance

× Position Size %

× Leverage Multiplier

× Entry + Exit

× Platform Fee

× Platform Retention

Automation significantly increases trade frequency and consistency, strengthening the revenue engine.

ARPU Drivers

1

Phase 1 — Early Adoption

Users begin with smaller deposits and manual strategies.

Lower balances produce moderate initial ARPU.

2

Phase 2 — Automation Adoption

Automated trading increases: • Trade frequency • Portfolio diversification • Risk-managed exposure

This significantly improves platform turnover.

3

Phase 3 — Mature Accounts

Users adopt full portfolio automation including: • Strategy allocation • Asset diversification • Automated rebalancing

Higher balances and automation increase long-term revenue per user.

Unit Economics

Key Metric

Revenue per user is driven by:

• Account balance • Trading frequency • Automation adoption • Leverage usage

Economic Advantage

Automation creates a natural flywheel:

→ More trades per user → Higher revenue per account → Better user experience → Increased retention

Scale Potential

Projected platform scale:

Year Active Traders Year 1 50,000 Year 2 150,000 Year 3 500,000

Automation increases trade consistency, improving long-term platform revenue stability.

Key Model Considerations

No Paid Acquisition Data Yet

Initial CAC estimates rely on industry benchmarks. A pilot marketing phase validates the acquisition engine before large-scale spending.

Deposit Size Sensitivity

Account balances directly influence revenue performance. Automation tools encourage larger deposits through strategy management and portfolio allocation.

Automation Adoption Curve

Automated trading features increase activity, but adoption rates will determine the speed of ARPU expansion. The core platform remains profitable even without full automation adoption.

The Automation Advantage

Traditional Platforms

• Manual trade execution • Emotional decision-making • Inconsistent trading frequency • Optional risk management • Lower revenue per user

RIFT Platform

• Automated trade execution • Structured decision frameworks • Consistent trading activity • Mandatory risk controls • Higher revenue per user

Next-generation multi-asset trading infrastructure where your Vault becomes the foundation for trading, investing, capital allocation, and intelligent execution.

Resources

Blog

Contact

contact@riftprotocol.ai

COMMUNITY

© 2026 RIFT. All rights reserved.

Built for the future of markets.

Next-generation multi-asset trading infrastructure where your Vault becomes the foundation for trading, investing, capital allocation, and intelligent execution.

Resources

Blog

Contact

contact@riftprotocol.ai

COMMUNITY

© 2026 RIFT. All rights reserved.

Built for the future of markets.