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AI for Marketers

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AI doesn't replace marketers. It makes the boring parts faster so marketers can do the work that actually moves the needle. Content production, personalization, campaign optimization, analytics. This course covers the 2026 marketing AI stack with real examples.

  1. 01

    Start here: what this course is about

    Welcome to AI for Marketers

    Read first. ~3 minutes.

  2. 02

    Start here: AI in marketing, the big picture

    AI Will Shape the Future of Marketing - Harvard DCE

    Harvard's executive ed overview. How AI is reshaping marketing as a discipline.

  3. 03

    What can AI actually do in marketing?

    AI Marketing Automation: The Ultimate Guide for 2026

    The 2026 toolkit: content generation, personalization, analytics, campaign automation.

  4. How to structure your AI content workflow: research, ideation, draft, edit, publish, measure.

  5. 05

    Concrete example: walk-through of an automated content marketing pipeline with AI.

  6. Contentful's guide: how AI integrates across CRM, CMS, ad platforms. The full pipeline.

  7. Salesforce's guide. The mechanics of 1:1 personalization across millions of customers.

  8. SAP/Emarsys on running cohesive personalized campaigns across email, web, mobile, social.

  9. 09

    Measuring AI marketing performance

    How to Measure AI Marketing ROI

    The metrics that matter in 2026: campaign ROI, attribution, dashboards. Where teams fail to prove value.

  10. How Google sees the future of measurement: incrementality, causal AI, holdout groups. The 2026 standard.

  11. 11

    State of the art: 2026 benchmarks

    AI Marketing Stats for 2026: ROI & Benchmarks

    83 percent report clear ROI from GenAI. Less than 40 percent can prove it. Where the industry actually is.

  12. 12

    Closing: what to take with you

    Closing: AI Marketing Without the Hype

    Wrap-up. ~3 minutes.

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