GeoLift Documentation

Welcome to GeoLift - Advanced Causal Inference and Marketing Attribution with Sparse Synthetic Control.

Key Business Questions Answered

🎯 What are you solving for?

GeoLift measures the true incremental impact of your regional marketing campaigns. It answers: “How much additional sales/conversions did my campaign actually generate?” by comparing treated markets against a scientifically-constructed control group.

💡 Why is this important and what does it help prove?

• Prove ROI: Demonstrate actual return on marketing investment with statistical confidence

• Optimize Budget: Identify which regional campaigns deliver the best results

• Avoid False Positives: Distinguish real campaign impact from natural market fluctuations

• Support Budget Requests: Provide rigorous evidence for marketing effectiveness to leadership

🔗 Is this the only thing I need or part of a wider solution?

GeoLift is one component of a comprehensive marketing measurement stack:

• Complements: Media Mix Modeling (MMM), Attribution, A/B testing

• Specializes in: Geo-based campaigns where randomized testing isn’t feasible

• Integrates with: Your existing analytics tools and data pipelines

• Best used for: Regional campaigns, store rollouts, local advertising tests

💰 Cost and ROI?

• Software Cost: Proprietary license - contact for pricing

• Implementation: 2-4 weeks for setup and training

• ROI Delivery: Typically 5-10x return through improved campaign optimization

• Payback: Most clients see payback within first campaign optimization cycle

⚙️ How does it work? What’s the process?

Simple 3-Step Process:

1. Find Fair Comparison → Identify control markets that behave like your test markets

2. Check Test Strength → Ensure your experiment can detect meaningful results

3. Measure the Lift → Calculate actual incremental impact with statistical confidence

---

Documentation Structure

Our documentation follows a layered approach to reduce cognitive load while providing clear paths for users at different expertise levels:

Getting Started

• Quick Start Guide
  • Business Value in 30 Seconds
  • Installation
  • Your First Analysis in 3 Steps
  • What You’ll Get
  • Next Steps
  • Sample Output
• User Guide
  • Business Value & Positioning
  • Overview
  • The 3-Step Workflow
  • Understanding Your Results
  • Data Preparation Best Practices
  • Configuration Options
  • Reporting and Export
  • Troubleshooting Common Issues
  • Next Steps
• Frequently Asked Questions
  • Business Questions
  • Getting Started
  • Analysis Issues
  • Interpretation
  • Need More Help?

Technical Reference

• API Reference
  • Core Classes
  • Result Classes
  • Utility Functions
  • CLI Commands
  • Configuration Schema
  • Error Handling
  • Advanced Usage
• Methodology Comparison: GeoLift (SparseSC) vs. Google’s GeoX (GBR/TBR)
  • Understanding Google’s GeoX (GBR/TBR) Approach
  • Why GBR/TBR (Older GeoX-style) Can Be Suboptimal Compared to SparseSC
  • Conclusion
• Advanced Topics
  • Mathematical Background
  • Advanced Configuration
  • Performance Optimization
  • Production Deployment
  • Custom Extensions
  • Debugging and Diagnostics
  • Research Extensions

Quick Navigation

• Quick Start Guide - Get running in 5 minutes

• User Guide - Complete business workflow

• FAQ - Common questions and troubleshooting

• API Reference - Technical documentation

• Methodology Comparison - How GeoLift compares to other approaches

• Advanced Topics - Mathematical background and production deployment

Documentation Philosophy

1. Business Value First - Understand what problem we solve

2. Quick Start - Get immediate value with examples

3. Complete Workflow - Learn the full process

4. Technical Details - Deep dive when needed

5. Advanced Topics - Mathematical foundations and production features

This structure ensures that business stakeholders can quickly understand the value proposition while technical users can access the depth they need.