Claude for Marketing - A Practical 1-Hour Workshop for Marketing Teams

IMG
Instructor
Ayush Goyal
September 23, 2026 (Wednesday)
08:00 AM PDT | 11:00 AM EDT
Duration: 60 Minutes
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Overview

This hands-on session focuses entirely on marketing use cases, with minimal generic AI theory beyond what's needed to get strong, on-brand results quickly. Roughly 25% of the session covers foundational context - how to give Claude enough brand and audience context to avoid generic output, and where human judgment and approval must stay firmly in the loop. The remaining 75% is live, practical demonstration across the marketing function. Participants leave with a marketing-specific prompt library and a reusable brand-voice template.

Why you should Attend

Are you spending hours writing content briefs, campaign reports, or SEO outlines that follow the same structure every time? Tired of your AI-generated copy sounding generic and needing a full rewrite before it matches your brand voice? Wondering how to turn a pile of campaign performance data into a report a client or exec will actually read? In one hour, you'll see live demonstrations of Claude handling real marketing tasks - from content briefs to competitor analysis to performance reporting - and leave with a ready-to-use prompt library built specifically for marketing workflows.

Areas Covered in the Session

Part 1 - Foundations for Marketing (?15 minutes, 25%)

  • Where Claude adds real value in marketing work: drafting, synthesis, structured research, and data-to-narrative translation
  • The brand-voice problem: why generic prompts produce generic copy, and how brand guidelines and examples change results
  • Where to stay cautious: final creative approval, factual product/competitor claims, and legally sensitive copy
  • A quick framing on originality and compliance: supporting strategy and drafting without creating brand or legal risk

Part 2 - Live Demos Across the Marketing Function (?40 minutes, 65%)

  • Live demo 1: Building a content brief from a rough topic idea, including audience intent, tone guidance, and outline
  • Live demo 2: Drafting on-brand copy using a provided brand-voice template, compared against a generic prompt
  • Live demo 3: Organizing SEO keyword lists by intent and funnel stage, turning that into a content calendar outline
  • Live demo 4: Competitive analysis - synthesizing competitor messaging and positioning gaps
  • Live demo 5: Turning a raw campaign performance export into a clear, client-ready narrative report
  • Live demo 6: Building a simple campaign dashboard or comparison table as a shareable Artifact, no coding required
  • Hands-on participant exercise: attendees rewrite one real marketing asset using a provided brand-voice template

Part 3 - Guardrails & Responsible Use in Marketing (?5 minutes, 10%)

  • A checklist: what to verify before publishing any AI-assisted copy (factual claims, competitor references, regulatory language)
  • Keeping brand consistency across a team when everyone has access to AI drafting tools
  • What to disclose, if anything, when AI assisted in creating published content

Wrap-up

  • Live Q&A (10 minutes)
  • Resources: marketing-specific prompt library, brand-voice template, and links to deeper follow-on sessions

Who Will Benefit

  • Content marketers, copywriters, and content strategists
  • Brand and creative marketing teams
  • Performance and growth marketers handling reporting and analysis
  • Product marketing managers
  • SEO specialists and digital marketing generalists
  • Marketing leaders and CMOs exploring AI adoption for their teams
  • Small-business owners and solo marketers without a dedicated content team

Speaker Profile

Ayush Goyal is a trusted thought partner, BI & AI leader and fully hands-on developer for senior client leadership teams from Fortune 500 group of companies across US, UK, Europe, Japan and India.

He comes with 12 years of experience working with senior client leadership worldwide to create end to end data analytics solutions in sales & marketing, finance and HR functions. He is a subject matter expert in the fields of Data Science, GenAI, Business Intelligence and Machine Learning.

He is a Microsoft Certified Trainer and Microsoft Certified in multiple areas like Power BI, Azure AI, Power Platform, and have trained more than 50,000 professionals and students in the past 8 years on multiple tools and technologies.