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attribution - Choose models and reconcile marketing revenue data

Helps choose and interpret attribution models, reconcile conflicting channel data, assess causality, and design first-party attribution for controlled sites or apps.

Tags

Updated: 2026-10-07

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Choose attribution models
  • Interpret attribution reports
  • Reconcile conflicting channel numbers
  • Compare measurement paradigms
  • Design first-party attribution
  • Use self-reported attribution
  • Assess incremental lift

Inputs

  • Conversion and revenue data
  • Channel attribution reports
  • Business and sales-cycle context
  • Tracking and touchpoint data
  • Site or app control

Outputs

  • Attribution model recommendation
  • Reconciled source comparison
  • Measurement approach
  • First-party tracking guidance
  • Causality assessment

Requirements

    Source

    • Spec: SKILL.md

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    attribution
    marketing analytics
    multi-touch attribution
    incrementality
    media mix modeling
    first-party tracking
    Choose attribution models
    Interpret attribution reports
    Reconcile conflicting channel numbers
    Compare measurement paradigms
    Conversion and revenue data
    Channel attribution reports
    Business and sales-cycle context
    Attribution model recommendation
    Reconciled source comparison
    Measurement approach