attribution-analysis-modeling
CommunityMulti-model marketing attribution for channels.
Authorliangdabiao
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill delivers comprehensive marketing attribution capabilities including multiple attribution models (First/Last/Linear/Time-Decay/Markov/Shapley), along with journey reconstruction, channel performance analysis, and ROI-driven insights.
Core Features & Use Cases
- Attribution Models: First-touch, last-touch, linear, time-decay, position-based, Markov, and Shapley-based attributions.
- Customer Journey & Transitions: Reconstruct paths, assess sequencing, and measure conversion contributions.
- Channel Performance & ROI: Calculate channel-level conversion rates, CPA, ROI, and optimization recommendations.
- Visualization & Reporting: Attribution weights, channel networks, journey visualizations, and comprehensive reports.
Quick Start
Build customer paths, apply multiple attribution models, compare results, and generate attribution dashboards to guide marketing spend.
Dependency Matrix
Required Modules
pandasnumpyscipynetworkxplotlymatplotlibshap
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: attribution-analysis-modeling Download link: https://github.com/liangdabiao/claude-data-analysis-ultra-main/archive/main.zip#attribution-analysis-modeling Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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