Agentic AI for Affiliate Marketing

About This Course

This course equips participants with the practical skills to use Claude Cowork and agentic AI workflows to plan, execute, and optimise affiliate marketing programmes. Learners will explore how Claude Cowork can support affiliate research, partner discovery, competitor analysis, audience profiling, offer evaluation, campaign planning, and the creation of promotional content across websites, email, social media, and other digital channels.

Participants will learn to connect Claude Cowork with relevant data sources and marketing systems using Model Context Protocol (MCP) tools. They will create reusable Claude Skills based on real-world affiliate marketing processes, such as reviewing potential partners, generating campaign briefs, producing brand-aligned content, managing affiliate communications, and preparing performance reports. These repeatable workflows help improve consistency, reduce manual work, and enable marketing activities to scale more effectively.

The course also covers the use of agentic AI to monitor key metrics such as traffic, clicks, conversions, conversion rates, commissions, revenue, and return on investment. Learners will use Claude Cowork to consolidate campaign information, identify performance trends, compare affiliates and offers, detect potential issues, and recommend data-driven improvements while maintaining human oversight and compliance with marketing policies.

Through practical activities and real-world scenarios, participants will develop an AI-assisted affiliate marketing system that supports faster content production, stronger partner coordination, and continuous campaign optimisation. This course is suitable for beginner and intermediate learners who have foundational digital marketing knowledge and want to apply Claude Cowork and agentic AI to affiliate programme management.