Your Attribution report Is misleading you
Major brands discovered 30-85% of their "high-performing" channels weren't incremental at all. Geo-lift testing reveals what actually drives growth vs. what just takes credit.
Trusted by data-driven marketers who were tired of correlation theater
"We thought Facebook was our best channel at 3.2x ROAS. Testing showed only 1.8x was incremental."
— Director of Growth
Saved 30% of budget
"Our branded search showed 8x ROAS but 85% would have converted anyway."
— VP Marketing
Reallocated $100K/month
"Retargeting looked amazing at 5x ROAS. Reality? Only 15% incremental."
— CMO
Cut waste by $50K/month
The Incrementality Crisis
Your attribution is lying to you:
- 📈Platform Metrics Inflate Impact
- Every platform claims the conversion
- 🔄Correlation ≠ Causation
- Just because sales went up doesn't mean your ads caused it
- 💸Hidden Waste
- Up to 40% of "attributed" sales would happen anyway
- 🎭Performance Theater
- Looking good in dashboards while wasting money
True Incrementality Through Geo-Testing
Scientific experiments that isolate causation from correlation
How Geo-Lift Testing Works
Market Selection
Split 210 US DMAs into test & control groups
Clean Experiment
Run campaigns only in test markets
Measure Lift
Compare sales between test vs. control
Prove Causation
Isolate true incremental impact
Why Geo-Testing Beats Everything Else
No Cookies Needed
Works for any channel
Real Business Impact
Measures actual sales, not proxies
Statistically Valid
Proven experimental methodology
Platform Agnostic
Test anything from TikTok to billboards
Everything You Need for Scientific Testing
Purpose-built tools for designing, running, and analyzing geo-lift experiments
Experiment Design
Power Analysis
Know required budget before you start
Market Matching
AI selects comparable test/control markets
Duration Calculator
Optimal test length for significance
Overlap Prevention
Run multiple tests without interference
Test Management
DMA Export
Ready-to-upload market lists
Progress Tracking
Real-time experiment monitoring
Budget Pacing
Ensure consistent test delivery
Quality Checks
Automated anomaly detection
Results & Analysis
Lift Calculation
Precise incremental impact
Confidence Intervals
Statistical significance visualization
iROAS Metrics
True incremental return on ad spend
Decision Support
Clear scale/cut recommendations
Answer Your Toughest Marketing Questions
Geo-lift testing provides definitive answers when attribution fails
Channel Testing
New Channels
Should we invest in podcasts/CTV/TikTok?
Channel Comparison
Which platform drives more incremental sales?
Budget Allocation
Where should the next dollar go?
Campaign Testing
Creative Impact
Does this new creative actually work better?
Audience Testing
Are we reaching new customers or preaching to the choir?
Frequency Optimization
When do we hit diminishing returns?
Strategic Questions
Market Expansion
Will this channel work in new geos?
Competitive Response
Did our campaign move the needle?
Seasonality
What's baseline vs. marketing-driven?
Results That Matter
Real brands discovering what actually drives growth
"We thought Facebook was our best channel at 3.2x ROAS. Geo-testing showed only 1.8x was incremental. We cut spend 30% with zero impact on revenue."
Director of Growth
DTC Beauty Brand
"Our branded search showed 8x ROAS but geo-testing proved 85% would convert anyway. We shifted $100K/month to actually incremental channels."
VP Marketing
SaaS Platform
"Geo-lift testing revealed our retargeting was only 15% incremental. We reduced frequency caps and saved $50K/month without losing sales."
Head of Performance Marketing
E-commerce Retailer
Our Testing Framework
A proven methodology for getting reliable, actionable results
Pre-Test Planning
- Historical data analysis
- Power calculation
- Market selection
- Test design documentation
Test Execution
- Campaign setup verification
- Daily monitoring
- Anomaly detection
- Mid-flight adjustments
Analysis & Results
- Statistical significance testing
- Lift calculation
- Confidence interval generation
- Strategic recommendations
Implementation
- Budget reallocation guidance
- Scaling strategies
- Ongoing measurement plan
- Executive reporting
Frequently Asked Questions
Everything you need to know about geo-lift testing
- How is this different from A/B testing?
- A/B tests compare creative/landing pages. Geo-lift tests measure if your marketing drives incremental business results vs. doing nothing.
- What channels can I test?
- Any channel where you can control geographic targeting - digital, TV, audio, OOH, even direct mail.
- How long before I see results?
- Most tests run 3-4 weeks, with results available within 48 hours of test completion.
- What if I can't pause other marketing?
- No problem. The control group accounts for all other marketing activity. We're measuring the incremental impact of the tested channel.
- Can I test multiple things at once?
- Yes, as long as they target different DMAs. We help design non-overlapping experiments.
Time to Know What Really Works
Every day without incrementality testing is budget potentially wasted on correlation theater.