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Finding the North Star for Your AI Strategy feat. CMO and eCommerce Leader Pauline Reader

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Manage episode 431556561 series 3357750
Contenuto fornito da WillowTree. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da WillowTree o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

In this episode of Room for Growth, Billie sits down with accomplished CMO Pauline Reader. With a career that includes CMO and SVP marketing leadership positions with renowned brands such as eBay, Minted, and Stitch Fix, and most recently Podium, a communication SaaS platform for SMBs and larger enterprises. Pauline now runs Reader Consulting, where she offers fractional CMO and consulting services, and in this episode, she brings valuable insights into the role of artificial intelligence and machine learning in B2C and B2B marketing strategies.

Pauline isn’t new to AI — for years she’s been actively leveraging traditional data science methodologies to enhance customer experiences (e.g., providing personalized clothing recommendations) and improve business operations. She shares pragmatic and tangible examples of interpreting data-driven insights and combining human judgment with technology for the most effective results.

Throughout the discussion, Billie and Pauline explore topics including data collection, personalization strategies, maintaining customer privacy, decision-making in technology investments, and finding a balance between short-term goals and long-term AI strategy.

Additional Resources

TOPICS DISCUSSED

  • Using AI and data science models to better understand customer preferences in eCommerce platforms
  • Overcoming obstacles with data compliance and privacy in AI-driven marketing strategies.
  • Ways of leveraging unstructured data through machine learning to extract relevant information.
  • Key considerations for rolling out AI features or changes in customer-facing technology.
  • Connecting and measuring customer data within brand loyalty platforms

KEEP THE GROWTH GOING

  continue reading

59 episodi

Artwork
iconCondividi
 
Manage episode 431556561 series 3357750
Contenuto fornito da WillowTree. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da WillowTree o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

In this episode of Room for Growth, Billie sits down with accomplished CMO Pauline Reader. With a career that includes CMO and SVP marketing leadership positions with renowned brands such as eBay, Minted, and Stitch Fix, and most recently Podium, a communication SaaS platform for SMBs and larger enterprises. Pauline now runs Reader Consulting, where she offers fractional CMO and consulting services, and in this episode, she brings valuable insights into the role of artificial intelligence and machine learning in B2C and B2B marketing strategies.

Pauline isn’t new to AI — for years she’s been actively leveraging traditional data science methodologies to enhance customer experiences (e.g., providing personalized clothing recommendations) and improve business operations. She shares pragmatic and tangible examples of interpreting data-driven insights and combining human judgment with technology for the most effective results.

Throughout the discussion, Billie and Pauline explore topics including data collection, personalization strategies, maintaining customer privacy, decision-making in technology investments, and finding a balance between short-term goals and long-term AI strategy.

Additional Resources

TOPICS DISCUSSED

  • Using AI and data science models to better understand customer preferences in eCommerce platforms
  • Overcoming obstacles with data compliance and privacy in AI-driven marketing strategies.
  • Ways of leveraging unstructured data through machine learning to extract relevant information.
  • Key considerations for rolling out AI features or changes in customer-facing technology.
  • Connecting and measuring customer data within brand loyalty platforms

KEEP THE GROWTH GOING

  continue reading

59 episodi

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