Revenue
Engineering.
A deterministic system for predictable revenue growth. Every dollar spent is tracked, every conversion optimized, every customer journey engineered for maximum LTV.
Performance Benchmarks
Measured Outcomes
The Attribution Gap
Most companies operate on intuition. They spend millions on ads without knowing which channels drive revenue, which campaigns are profitable, or where customers drop off. Growth OS eliminates guesswork.
Broken Attribution
Multi-touch attribution is fragmented across platforms with no single source of truth.
Optimization Lag
Manual A/B testing takes weeks. Markets move in hours.
Revenue Opacity
CMOs cannot answer: "What is our true CAC by channel?"
System Architecture
Three-Layer Revenue Stack
Acquisition Engine
Unified API layer ingests data from Meta, Google, LinkedIn. Real-time bidding optimization across all platforms simultaneously.
Conversion Intelligence
Continuous A/B testing on landing pages, CTAs, and checkout flows. Statistical significance reached in days, not months.
Retention Automation
Behavioral triggers for email, SMS, and in-app messaging. Churn prediction models identify at-risk customers 30 days in advance.
Core Capabilities
Growth OS is a complete revenue operating system. Deploy modules independently or as an integrated stack.
Multi-Channel Attribution
- First-touch, Last-touch, Linear Models
- Cross-device User Stitching
- Revenue Attribution by Campaign
Experimentation Platform
- Multivariate Testing Engine
- Bayesian Statistical Analysis
- Auto-deploy Winning Variants
Predictive Analytics
- Customer Lifetime Value Forecasting
- Churn Risk Scoring
- Propensity-to-Buy Models
Campaign Automation
- Dynamic Budget Allocation
- Audience Segmentation AI
- Creative Performance Analysis
Efficiency Gains
Comparative analysis: Traditional marketing vs Growth OS automation.