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What are the top use cases PMM's are using AI to help with?

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4 Answers
  1. Gagan Mand
    Gagan Mand

    Adobe Director, Product Marketing & Strategy • 9mo

    AI is opening up some exciting possibilities for product marketers. A few of the top use cases I see: Voice of Customer or win/loss analysis: Quickly analyze customer feedback, including transcripts from sales calls or interview recordings, to spot trends and insights. Competitive intelligence: Track changes on competitor websites, campaigns, and messaging in real time. Brainstorming on positioning: Use AI to brainstorm trends, craft problem statements, and refine value props. Persona or synthet ...Read More

    1,576 Views
  2. Ben Rawnsley-Johnson

    Stripe Head of Product Marketing, APAC • 9mo

    The highest ROI use case is dramatically improving the ratio of time spent creating content to the quality of that content. The time from blank page to something worthwhile has decreased significantly with AI. However, the key is using AI to speed up work rather than just doing more with AI. The real question for product marketers should be: what are you doing with the time you're saving? Are you becoming a better expert on your product, a better steward of the customer, and improving your under ...Read More

    473 Views
  3. Chandra Patel
    Chandra Patel

    Salesforce Senior Director of Product Marketing • 9mo

    The highest ROI use cases for PMMs are at the front end of synthesizing information and at the polishing end of refining content. At the front end, AI helps process large amounts of information from product teams, market feedback, and other sources. For example, I used AI to synthesize my stream-of-consciousness notes from a day-and-a-half product team offsite. I asked AI to summarize my insights, and it produced a compelling action plan that I could immediately share with leadership, demonstrat ...Read More

    498 Views
  4. Nisha Goklaney
    Nisha Goklaney

    HubSpot Senior Director of Product Marketing | Formerly Intuit, American Express, Sage • 9mo

    AI is most valuable for data context, insights, and narrative design in product marketing. We start by providing AI with our authentic voice and style through existing documents to establish context. Then we use it for insights by connecting it to tools like Gong and Notetaker to identify customer pain points and language patterns. This helps us move directly to narrative design with real customer insights rather than starting from a blank page. Another valuable use case is having AI act as a co ...Read More

    488 Views

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