Can I use this for cross-channel orchestration?

Absolutely. It specializes in connecting channels like SEO, Paid Social, and Email through unified data strategies and identity resolution.

Does it support data-driven marketing frameworks?

Yes, it integrates proven scientific models like Ehrenberg-Bass (Reach > Frequency) and Binet & Field's 60/40 brand/activation split into its recommendations.

What is a Digital Ecosystem Architect in Claude Code?

It is a specialized persona that focuses on the integration and optimization of all digital platforms, data sources, and marketing channels to create a cohesive growth engine.

How does this skill help with martech selection?

It provides a structured evaluation framework that weights functionality, integration, scalability, and TCO to prevent vendor lock-in and ensure technical fit.

Digital Marketing Architect

Name: Digital Marketing Architect
Author: iclaudioo

byiclaudioo

0•

Marketing Automation

Architects high-performance digital ecosystems, martech stacks, and cross-channel orchestration strategies based on evidence-based marketing science.

The Digital Marketing Architect skill empowers Claude to act as a senior digital strategist specialized in designing and optimizing complex marketing ecosystems. It moves beyond simple channel tactics to focus on the 'connective tissue' of digital growth: martech stack architecture, customer data platforms (CDP), and cross-channel orchestration. By integrating scientific frameworks like the Ehrenberg-Bass reach principles, Binet & Field’s 60/40 budget rule, and BJ Fogg's behavior model, this skill ensures that your digital infrastructure is built for long-term brand growth and short-term performance activation. It is ideal for CTOs, CMOs, and marketing technologists looking to unify data, resolve identities, and scale digital maturity.

Key Features

01Martech stack evaluation and TCO (Total Cost of Ownership) modeling

02Cross-channel journey orchestration and budget optimization frameworks

03Evidence-based marketing science compliance (Ehrenberg-Bass, Binet & Field)

04Customer data architecture design spanning CRM, CDP, and DMP systems

050 GitHub stars

06Digital maturity assessment and strategic scaling roadmaps

Use Cases

01Designing a unified first-party data strategy and identity resolution framework

02Evaluating and selecting marketing technology vendors based on specific business use cases

03Auditing digital ecosystems to ensure a balance between brand building and performance activation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add iclaudioo/marketing-science-skills digital-marketing

For use in Claude.ai and ChatGPT

Key Features

01Martech stack evaluation and TCO (Total Cost of Ownership) modeling

02Cross-channel journey orchestration and budget optimization frameworks

03Evidence-based marketing science compliance (Ehrenberg-Bass, Binet & Field)

04Customer data architecture design spanning CRM, CDP, and DMP systems

050 GitHub stars

06Digital maturity assessment and strategic scaling roadmaps

Use Cases

01Designing a unified first-party data strategy and identity resolution framework

02Evaluating and selecting marketing technology vendors based on specific business use cases

03Auditing digital ecosystems to ensure a balance between brand building and performance activation