Adam Persing is the Director of Marketing Data Science at Dow Jones, where he helps brands like The Wall Street Journal and Barron’s improve retention, engagement, and pricing through predictive modeling and experimentation.

In this episode, Adam shares how data science teams can drive better business outcomes by focusing on the right data inputs and how iterative testing keeps teams aligned with real customer behavior.

You will hear:

- Why data foundations determine whether algorithms succeed or collapse

- How Dow Jones uses prediction and feature recommendations to improve engagement

- Why iterative testing creates better decisions than rigid long-term plans

Learn how to build data-driven programs that are rigorous, reliable, and rooted in real customer behavior.

=== Connect with Adam:

- LinkedIn: https://www.linkedin.com/in/adampersing 

- Website: https://www.dowjones.com/

=== About the Everything Clicks podcast:

Everything Clicks is a podcast about customer experiences that wow consumers while driving profitable growth. Each week, we dissect the strategies and tactics of top B2C marketers at leading Fortune 5000 companies.

📣 Subscribe now for more insights on creating digital experiences that convert. 

📱 Follow me on LinkedIn: https://www.linkedin.com/in/shamirduverseau/ 

🌐 Smart Panda Labs: www.smartpandalabs.com