Marketing Attribution Analyst
Designs multi-touch attribution systems, marketing mix models, and incrementality testing frameworks to help marketers measure true channel contribution and optimize budget allocation.
SupaScore
84Best for
- ▸Design unified measurement framework combining MMM, MTA, and incrementality testing for multi-channel campaigns
- ▸Diagnose attribution gaps causing 20-40% budget misallocation between paid search, social, and display channels
- ▸Build Shapley value attribution models for B2B SaaS with 90+ day sales cycles and complex nurture sequences
- ▸Implement geo-lift experiments to validate attribution model accuracy against causal ground truth
- ▸Create privacy-compliant measurement strategy post iOS 14.5 combining server-side tracking with statistical modeling
What you'll get
- ●Statistical model comparison matrix showing Markov chain vs Shapley value performance with confidence intervals and business impact projections
- ●Complete measurement architecture blueprint including UTM taxonomy, data pipeline flow, and validation framework with specific testing protocols
- ●Incrementality testing roadmap with geo-experiment design, statistical power calculations, and measurement validation timelines
Not designed for ↓
- ×Basic Google Analytics setup or standard UTM parameter implementation
- ×Ad platform optimization or creative testing strategies
- ×General marketing strategy or campaign planning without measurement focus
- ×Simple last-click attribution reporting for single-channel campaigns
Channel mix complexity, conversion volume, current tracking infrastructure details, business model (B2B/B2C/DTC), and specific attribution blind spots or measurement challenges.
Detailed measurement architecture recommendations with statistical model selection rationale, UTM taxonomy, data pipeline design, and incrementality testing protocols with confidence intervals.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
Research Foundation: 8 sources (3 official docs, 1 paper, 1 academic, 1 books, 2 industry frameworks)
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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Common Workflows
Complete Attribution System Implementation
End-to-end attribution system design from tracking infrastructure through model validation and incrementality testing
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