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Marketing Analytics in a Cookieless World | Chelsea Cramer (Credit Karma, Gympass, Flywheel)

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Manage episode 428180726 series 3569868
Content provided by Right Side Up. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Right Side Up or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode of Growth Talks, Krystina Rubino chats with Chelsea Cramer, Marketing Analytics Lead at Credit Karma. They dive into the world of marketing analytics, discussing the evolution of marketing tools, the impact of data privacy changes on attribution, and strategies for effective marketing measurement in a privacy-first world.

⏰ Timestamps

00:00 Introduction to Chelsea Cramer, marketing analytics lead at Credit Karma

01:28 Evolution of marketing analytics landscape with new tools, increased focus on data privacy and complex attribution models

03:57 How to tackle Google's privacy sandbox and the deprecation of third-party cookies

05:34 Effectively measuring data leveraging multiple methodologies

09:55 Importance of message and incrementality testing

20:31 Practical applications of AI in marketing analytics

25:02 Utilizing advanced analytics techniques like media mix modeling and multivariate testing

39:07 Closing thoughts on the future of marketing analytics, emphasizing continuous learning and adaptation to new technologies and methodologies.

🗝️Key Takeaways:

  • Marketers need to adjust their strategies to handle the increasing limitations on user data tracking and the shift towards more privacy-focused marketing practices.
  • Focusing on the lifetime value of a customer rather than just the acquisition cost can lead to more sustainable marketing strategies.
  • Employing a mix of measurement methodologies like incrementality testing and media mix modeling can help marketers gain a more accurate picture of their campaigns' effectiveness.
  • Marketers should prepare for ongoing changes in the digital landscape, such as the deprecation of third-party cookies, by exploring and adopting new tools and techniques.
  • AI can significantly enhance marketing analytics by automating data analysis and providing deeper insights, which can lead to better decision-making.

🤝Connect with Right Side Up

Right Side Up is a premium growth marketing agency that has helped more than 1,000+ companies hit their growth goals. Check us out and send us a note at: https://bit.ly/4bfaBQt

‣ Subscribe to our channel: https://bit.ly/3HWiJYD

‣ Subscribe to our marketing newsletter: https://rightsideup.com/resources/growth-marketing-newsletter/

‣ Follow us on Linkedin: https://www.linkedin.com/company/rightsideup/

‣ Follow us on Facebook: https://www.facebook.com/RightSideUpCo/

‣ Follow us on Twitter: https://twitter.com/rightsideupco

  continue reading

28 episodes

Artwork
iconShare
 
Manage episode 428180726 series 3569868
Content provided by Right Side Up. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Right Side Up or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode of Growth Talks, Krystina Rubino chats with Chelsea Cramer, Marketing Analytics Lead at Credit Karma. They dive into the world of marketing analytics, discussing the evolution of marketing tools, the impact of data privacy changes on attribution, and strategies for effective marketing measurement in a privacy-first world.

⏰ Timestamps

00:00 Introduction to Chelsea Cramer, marketing analytics lead at Credit Karma

01:28 Evolution of marketing analytics landscape with new tools, increased focus on data privacy and complex attribution models

03:57 How to tackle Google's privacy sandbox and the deprecation of third-party cookies

05:34 Effectively measuring data leveraging multiple methodologies

09:55 Importance of message and incrementality testing

20:31 Practical applications of AI in marketing analytics

25:02 Utilizing advanced analytics techniques like media mix modeling and multivariate testing

39:07 Closing thoughts on the future of marketing analytics, emphasizing continuous learning and adaptation to new technologies and methodologies.

🗝️Key Takeaways:

  • Marketers need to adjust their strategies to handle the increasing limitations on user data tracking and the shift towards more privacy-focused marketing practices.
  • Focusing on the lifetime value of a customer rather than just the acquisition cost can lead to more sustainable marketing strategies.
  • Employing a mix of measurement methodologies like incrementality testing and media mix modeling can help marketers gain a more accurate picture of their campaigns' effectiveness.
  • Marketers should prepare for ongoing changes in the digital landscape, such as the deprecation of third-party cookies, by exploring and adopting new tools and techniques.
  • AI can significantly enhance marketing analytics by automating data analysis and providing deeper insights, which can lead to better decision-making.

🤝Connect with Right Side Up

Right Side Up is a premium growth marketing agency that has helped more than 1,000+ companies hit their growth goals. Check us out and send us a note at: https://bit.ly/4bfaBQt

‣ Subscribe to our channel: https://bit.ly/3HWiJYD

‣ Subscribe to our marketing newsletter: https://rightsideup.com/resources/growth-marketing-newsletter/

‣ Follow us on Linkedin: https://www.linkedin.com/company/rightsideup/

‣ Follow us on Facebook: https://www.facebook.com/RightSideUpCo/

‣ Follow us on Twitter: https://twitter.com/rightsideupco

  continue reading

28 episodes

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