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Index/Marketing/The CMO Podcast with Fexingo
The CMO Podcast with Fexingo artwork

How CMOs Use Sentiment Analysis on Earnings Calls

The CMO Podcast with Fexingo · 2026-07-15 · 10 min

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Topics in this episode

natural language processingSentiment analysisPepsiCocmosearnings calls

Episode notes

Lucas and Luna explore how top marketing leaders are mining earnings call transcripts for real-time consumer sentiment data. They break down the specific example of PepsiCo's CMO using natural language processing to track brand perception shifts from analyst Q&A sessions, and how that data informed their 2025 Super Bowl ad strategy. The hosts discuss the tools involved, the surprising accuracy of sentiment scores versus traditional surveys, and why this technique is becoming a must-have for CMOs looking to justify budget in an era of efficiency. A concrete look at how the marketing-finance divide is closing through data. #CMO #SentimentAnalysis #EarningsCalls #NLP #PepsiCo #SuperBowl #MarketingAnalytics #ConsumerInsights #BrandTracking #NaturalLanguageProcessing #Finance #DataDrivenMarketing #AdStrategy #MarketingROI #BusinessIntelligence #FexingoBusiness #BusinessPodcast #TheCMOPodcast Keep every episode free: buymeacoffee.com/fexingo

Related episodes across the Index

Other episodes covering the same guests and topics, from across The B2B Podcast Index.

  • Episode 40: The Economic Reality of AI: Friction, Talent, and the Future of the FirmHigh Signal · on natural language processing97 / 100
  • CMMC Is an HR Problem, Not an Enclave Problem - Here's the ProofSecure Talk Podcast · on natural language processing95 / 100
  • The Rise of Dark AI and the Cost of Getting It WrongMarketing Spark · on Sentiment analysis88 / 100
  • 62: How an ALS Diagnosis Inspired an AI Companion (with Kirstin Maurer)AI Product Leader · on natural language processing80 / 100
  • EP 116: "SEO Is Dead. It's an $85 Billion Market and It's Over"Embracing Marketing Mistakes · on PepsiCo80 / 100
  • What Customers DO Tells You More Than What They SAYColorado Tech People · on natural language processing80 / 100

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