Geo Experiment Designer
Design rigorous geographic experiments (geo-lift tests) to measure the true incremental impact of marketing campaigns, product launches, and pricing changes using causal inference methods.
SupaScore
84.95Best for
- ▸Measuring incrementality of TV/OTT campaigns when user-level tracking isn't possible
- ▸Testing causal impact of price changes across geographic markets
- ▸Designing geo-lift tests for new product launches in retail chains
- ▸Validating true lift of brand awareness campaigns using regional experiments
- ▸Setting up synthetic control experiments for store opening impact measurement
What you'll get
- ●Stratified randomization design with 40 matched DMA pairs, power analysis showing 80% power to detect 5% lift, and CausalImpact implementation plan
- ●Synthetic control methodology using 3 treatment cities with weighted control from 25 donor markets, including pre-treatment validation tests
- ●Complete experimental protocol with exclusion criteria, spillover mitigation strategies, and Bayesian analysis framework for measuring incremental revenue
Not designed for ↓
- ×User-level A/B testing or individual customer randomization
- ×Attribution modeling for digital advertising channels
- ×Simple correlation analysis between marketing spend and sales
- ×Real-time campaign optimization or bidding algorithms
Clear business question, available geographic units, pre-treatment outcome data, and specific KPI to measure with defined success criteria.
Complete experimental design with randomization strategy, sample size calculations, analysis plan, and statistical framework for measuring causal lift.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
Research Foundation: 8 sources (2 books, 3 paper, 1 official docs, 1 academic, 1 web)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Initial release
Prerequisites
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Works well with
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Common Workflows
Marketing Incrementality Measurement
End-to-end workflow for measuring true marketing impact, from initial experimental design through geo-randomization to causal analysis and attribution modeling
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