📊
AI EngineeringPython

Attribution Model

by indranilbanerjee

Attribution Model is an AI Engineering skill for Claude Code, published by indranilbanerjee in digital-marketing-pro.

764 stars128 forkson indranilbanerjee/digital-marketing-proAdded 2026/08/23+2% in starsRepository updated 2026/08/17
aeoagent-skillsai-marketingc2paclaude-codeclaude-pluginclaude-skillscontent-marketingcopilot-cli-plugincursor-plugineu-ai-actgemini-cli-extensiongeogoogle-antigravityhermes-pluginmarketing-agencymarketing-automationopenai-codexopenclaw-pluginseo
Install in seconds
Install Attribution Model
Copy Attribution Model into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/attribution-model ~/.claude/skills/attribution-model

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/indranilbanerjee/digital-marketing-pro.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/attribution-model/SKILL.md in indranilbanerjee/digital-marketing-pro
Installs to
~/.claude/skills/attribution-model
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering2451 skills

What Attribution Model does

Attribution Model recommends a multi-touch model based on sales cycle, data maturity, and channel mix. It defines credit rules, lookback windows, platform setup, and known tracking gaps for GA4, HubSpot, Salesforce, and warehouses.

Attribution Model is cataloged under AI Engineering on DirSkills. Attribution Model comes from a repository tagged aeo, agent-skills, ai-marketing, c2pa and claude-code.

Documentation

README

/digital-marketing-pro:attribution-model

Purpose

Design and recommend a multi-touch attribution model with implementation guidance, credit distribution rules, and platform-specific configuration. Produces a complete attribution strategy tailored to the business's data maturity, sales cycle, and analytics infrastructure.

Input Required

The user must provide (or will be prompted for):

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Attribution Model

  • What else does indranilbanerjee publish alongside Attribution Model?

    Attribution Model is one of 25 skills that DirSkills catalogs from indranilbanerjee/digital-marketing-pro, the repository it ships in. Its siblings there include A/B Test Plan, AEO Audit and AEO/GEO Intelligence. Each one is a separate skill with its own page in this directory, installs the same way Attribution Model does, and is maintained by indranilbanerjee in that same repository. The rest of the collection is listed on the indranilbanerjee/digital-marketing-pro page.

  • How does Attribution Model compare to other AI Engineering skills?

    Attribution Model ranks #1653 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Attribution Model against them. Open each page to compare what they document and how they install.

More from indranilbanerjee/digital-marketing-pro

Attribution Model is one of 25 skills cataloged on DirSkills from indranilbanerjee/digital-marketing-pro.

See all 25 skills
📈
1w ago

A/B Test Plan

A/B Test Plan designs a statistically rigorous experiment with a clear hypothesis, control and variant specs, sample size, duration, guardrails, and stopping rules. Use it to plan marketing tests before launch and decide whether to ship, extend, or stop.
SEO
764128
🔎
1w ago

AEO Audit

AEO Audit evaluates how a brand appears across ChatGPT, Perplexity, Google AI Mode, AI Overviews, Gemini, and Copilot. It scores visibility, checks citation accuracy, compares competitors, and outputs an optimization playbook for AI search.
SEO
764128
🧠
1w ago

AEO/GEO Intelligence

AEO/GEO Intelligence audits how a brand appears in AI answers and restructures content for citation. It checks entity consistency, generates schema specs, and builds monitoring and content strategy plans for AI search surfaces.
SEO
764128
📣
1w ago

Ad Creative

Ad Creative generates 3-5 platform-specific ad copy variations with headlines, descriptions, CTAs, quality scores, policy flags, A/B test groupings, and message-match checks. Use it when drafting ads for Google, Meta, LinkedIn, TikTok, X, or Pinterest.
Automation
764128
🔌
1w ago

Add Integration

Add Integration walks through adding an MCP server to the plugin, from finding an existing package or scaffolding a custom server to generating .mcp.json, wiring credentials, and testing connectivity. Use it when connecting services like Ahrefs, Stripe, or an internal API.
AI Engineering
764128
📊
1w ago

Agency Dashboard

Agency Dashboard generates a portfolio view of all client brands, including health scores, campaign activity, budget pacing, KPIs, team utilization, approvals, and alerts. Use it for agency standups, weekly reviews, and quick account risk checks.
Data
764128