Transform your advertising measurement with gold-standard experimental methods that deliver reliable evidence of true incremental sales impact.

Why This Guide Matters:

• Complete Implementation Framework - 50+ pages of detailed, step-by-step instructions for designing, executing, and analyzing geographic experiments

• Proven Statistical Techniques - Based on hundreds of successful experiments with Fortune 500 advertisers

• Practical Code Examples - Ready-to-implement Python code for randomization, power analysis, and statistical testing

• Innovative "Rolling Thunder" Design - Our multi-armed, stepped approach delivers superior statistical power and natural balance without complex adjustments

Key Benefits:

• Higher Statistical Power - Detect smaller effects with greater confidence

• Simpler Implementation - No need for user-level tracking, cookies, or clean rooms

• Greater Accuracy - Avoid the systematic overstatement common in attribution, synthetic controls and observational methods

• Cross-Channel Measurement - Works for all media: digital, TV, radio, OOH, and more

• Privacy-Compliant - Uses only aggregated, non-PII data (ZIP codes)

• Future-Proof - Independent of platform changes or tracking restrictions

Who Should Read This:

• Advertisers seeking accurate return on ad spend (ROAS) measurement

• Media companies looking to prove their true incremental value

• Analytics teams implementing experimental measurement programs

• Agencies advising clients on marketing effectiveness