GenAI for Product Marketers: Data-Driven Campaigns
Applies GenAI to product marketing: practice with ChatGPT and Google Ads AI, optimize campaigns with data-driven frameworks, and evaluate campaign metrics to guide strategic decisions
Applies GenAI to product marketing: practice with ChatGPT and Google Ads AI, optimize campaigns with data-driven frameworks, and evaluate campaign metrics to guide strategic decisions
Audience and starting point
Basic familiarity with digital-marketing platforms and analytics, plus campaign-running experience, is recommended
Practice and assessment
Assessment: Published listing: 2 assignments. Advertised AI grading. Actual marking quality and instructor feedback untested. 1 peer-review activity listed. This does not establish instructor assessment. Retained assessment detail: Published listing: 2 assignments. Advertised AI grading. Actual marking quality and instructor feedback untested. 1 peer-review activity listed. This does not establish instructor assessment
Access and subscriptions
Check enrollment and software access
An original example for comparing learning plans. Ask whether the course teaches this task, includes practice and offers feedback; the diagram does not describe a provider’s course.
Start-Tech Academy , Abhishek Bansal , Pukhraj Parikh
Analyze AI marketing cases across ads/email/SEO/chatbots/personalization, evaluate build-versus-buy and strategic readiness, identify high-impact funnel opportunities and set implementation goals, metrics and ethical boundaries
7 sections • 37 lectures • 4h 3m total lengthCheck current priceEnglish
Create personalized ad creatives with Gemini, Bannerboo or Elai, automate Google Ads AI and Facebook Ads Manager campaigns with targeting/budgeting, and analyze CPA, CTR and ROAS to optimize results
Published estimated study commitment: 3 hours to complete. Flexible, self-paced schedule. Study estimates are distinct from total video runtimeCheck current priceEnglish
Shared topic: Customer analytics and personalization
Coursera
Introduces JUNE customer analytics use cases, platform setup for data collection/analysis, AI-generated reports, and using those insights to inform product decisions, the page also tags data-driven marketing
Published estimated study commitment: 3 hours to complete. Flexible, self-paced schedule. Study estimates are distinct from total video runtimeCheck current priceEnglish